VOLUME 5, ISSUE 4, APRIL 2016

Abstract: In this paper, a new model was proposed to cope with the trend of email spam that improves the generation of a detector in the improved and standard negative selection algorithm (NSA) with the use of stochastic distribution to model the data point using genetic algorithms. The theoretical analysis and the experimental result show that the performance of proposed method is higher than the improved and standard NSA, which the accuracy of the proposed model is 91.90%, while the improved NSA model is 85.27%, and the standard NSA model is 62.75%.

Keywords: Negative selection algorithm, genetic algorithm, spam email, spam detectors generation.

Abstract: From many years we are getting news about smuggling of the trees such as sandal, Sagwan etc. These trees are very expensive and less obtainable in the market. To avoid such type of smuggling and to save the forests around the globe some preventive systems need to be developed. We are forming a system which can be used to restrict this smuggling. The suggested system will consist of two modules which are described below, 1) Tree Unit 2) Main Server Unit (base station). ]Every tree having one small electronics division which consists of ARM 7, 3 Sensors and Zigbee module. There will be one area selected. The data of different tree units can be collected by this units. The each tree unit will give the information to base station using GSM module. At main server GUI using one authorized person whom received the message and he will taking action to provide security. This data can be used by concern forest authorities to take preventive action.

Keywords: ARM 7 Processor, Flex sensor, Temperature sensor, Accelerometer sensor, ZIGBEE and GSM Module.

Abstract: A new technique of biometric technology is palm print identification which is based on feature extraction from palm used for personal identification. In this paper the feature extraction are carried out by using technique of texture based feature extraction. For low quality images powerful feature extraction method is necessary. So, 2D Gabor filter used to get texture information. This is very useful and advantageous technique for security purpose.

Keywords: Palm print, Authentication, Gabor, Feature Extraction.

Abstract: Iris recognition system for identity authentication and verification is one of the most precise and accepted biometrics in the world. The need for portable iris system has been increasing more rapidly which demands efficient compression techniques for its transmission through a narrow-bandwidth communication channel. In spite of rapid progress in mass storage density and processor speeds, this demand continues. This paper has investigated the effects of iris image compression based on Haar Wavelet Decomposition and subsequent Huffman Coding. The results have been examined in terms of Peak Signal to Noise Ratio (PSNR), Mean Square Error (MSE) and Compression Ratio (CR). It has been found that Huffman Coding transform is an effective lossless image compression technique, as recognition performance is minimally affected and the use of Haar transform is well suited. The matching stage is implemented using Euclidean distance calculation and CASIA iris database has been used for the study.

Keywords: Iris recognition; Image compression and decomposition; Haar wavelet transform; Huffman coding; Peak signal to noise ratio

Abstract: As the number of mobile devices is growing tremendously, mobile query processing has become a challenging application. One of the important type of mobile queries is range query, is to retrieve surrounding objects of interest. The range queries considered here are moving range queries, as the mobile is changing its location continuously. Due to change in location the moving range queries are difficult for processing and the former results become irrelevant. The concept of safe region is introduced which is an area where the results of range query on the mobile device do not change. Whenever the query leaves the safe region then only the query is re-evaluated. Moving range queries are used in different applications like friend finder, alerts of traffic congestion etc. Mobile advertising is one of the applications that allow an advertiser to promote products or services to targeted customer efficiently. In the proposed location based advertising application, the mobile client gets offers or coupons from the merchants which are in radius of its GPS location. Using concept of safe region, it will reduce the cost of communication and of data transfer as recomputation is not required. This application is based on the continuous monitoring of moving circular range queries over static data objects, where the queries are constantly moving and the data objects do not move.

Keywords: GPS, location based services, mobile advertising, moving range query, safe region.

Abstract: Haptics is one of the most trending technologies in the world as per the famous GARTNER 2014-15 predictions. This makes it one of the leading technologies to be focused on in the field Engineering and Research studies and robotic applications. It Deals with the simulation of real-world experience using concepts such as augmented reality, virtual reality and mixed reality. This technology provides the user a force, sense and touch feedback. The proposed work aims at perceiving and simulating different surfaces or textures and further providing real-time experience of virtual objects or surfaces allowing the blind users to visualize and sense their surroundings much like bats or dolphins. The proposed work involves building of two devices namely Hand module and Puck scanner, one measures the response of surface with respect to the human interaction, different amount of pressures are applied and wide ranging responses are obtained which are stored in the database and later produces the virtual feel of the same using object recognition involving feature extraction and feature matching process, the module is programmed such that typical frequencies are generated for different pixel values of the matched image and thus giving different vibrations through actuators creating virtual effect of the captured surface.

Keywords: FSR, Augmented reality, Haptics, Feature extraction, Virtual reality.

Abstract: The growing menace of counterfeit currency is very evident from newspaper reports of fake currency notes being seized appear every day. The advancements in the field of computers, photocopiers and scanners have made the process of duplicating currency note a simple task. The unsuspecting masses have no mechanism of differentiating the fake note from the genuine. The main objective of this project is fake currency detection using LabVIEW. This process can be automated in a computer using NI-IMAQ. The basic logic is developed using Image Acquisition-Laboratory Virtual Instrument Engineering Workbench (IMAQ-LabVIEW). The images of the original currencies are fed to the IMAQ database. Finally the features of the note to be tested are compared with the dataset formed from the original image and finds out whether it is fake or original. In terms of accuracy, reliability and automation, the above mentioned method of counterfeit detection is far more superior to those which already exist.

Keywords: NI-IMAQ, LabVIEW, Edge detection and ROI.

Abstract: Automotive electronics sector is dominant in vehicle automation. To automate different features in vehicle, there are several Electronic Control Units (ECUs). To link up these ECUs there are traditionally used point to point communication which causes to increase in wiring harness. So data transmission is not efficient. To overcome this drawback, Controller Area Network protocol widely used. This CAN protocol implemented through CAN integrated PIC controller ICs. The propose system aims to develop board which contain multiple interface facility which become compact in size and cost. In the proposed system, two UART and CAN bus interface on single board. This reduces the drawback of traditionally used approaches for vehicle automation.

Keywords: CAN (Controller Area Network), ECU, PIC Controller, Point to point communication, Rain sensor.

Abstract: Due to the non-availability of prior information about the bus arrival schedule, people have to wait for longer periods at the bus stops, especially during office hours in order to reach on time. Also, bus station follows fixed schedules and routines, and don�t make use of intelligent systems for vehicle tracking and control. Administrators deployed at the station prepare the trip sheets containing the schedules and announce it manually which are time consuming, tedious and inaccurate. This Paper is to make transport much convenient for individuals who commute daily using the public bus transport of the city, for effective time management and making it trouble-free, not just for the commuters but the Transport Department to create an efficient public transport system. Our system using GSM and RFID technology provides a cost effective, simple solution and help people in getting the arrival time of the bus. Automatic announcement system in the bus stand announces the name of the bus and destination, while the bus enters the stand. At the same time the arrival time of that bus in the next stand send via GSM and displayed there. A bus detection mechanism for the blind in travelling from one place to another is also incorporated, in order to get their transportation independently. The blind can hear the name and destination using headphone, when the bus comes nearby.

Keywords: GSM, RFID, Announcement system, Bus detection mechanism.

Abstract: Nowadays banking sector is one of the most important parts of a human day to day life. Banking facilities are widely used by people for their economies activities. Automatic Teller Machine (ATM) is an electronic machine which is used for accessing a bank account from anywhere without the help of bank staff. The user can perform several banking activities like cash withdrawal, money transfer with the help of ATM. It is observed that the numbers of crime related to ATM increased hence need to provide better security to ATM machine. There are different technologies which are used to provide security to ATM machine which include � Biometric technology, RFID technology etc. Biometric technology includes fingerprint and face recognition system. In this paper survey of different technologies for ATM security is presented. In these technologies, there are some limitations. By comparing various technologies which are used for ATM security it observes that fingerprint technology appears better and more secure than other technologies.

Keywords: ATM system, RFID technology, GSM technology, Biometric technology.

Abstract: Image binarization is the method of separation of pixel values into dual collections, black as background and white as foreground. Thresholding has found to be a well-known technique used for binarization of document images. Thresholding is further divide into the global and local thresholding technique. In document with uniform contrast delivery of background and foreground, global thresholding is has found to be best technique. In degraded documents, where extensive background noise or difference in contrast and brightness exists i.e. there exists many pixels that cannot be effortlessly categorized as foreground or background. In such cases, local thresholding has significant over available techniques. The main objective of this paper is to evaluate the different image binarization techniques to find the gaps in existing techniques.

Keywords: Binarization; local thresholding; global thresholding; binary image.

Abstract: Data mining and predictive technologies developed using computer automated programs do a fair amount of trade in the market. Historic data holds the essential memory for predicting the future direction, is a well-founded theory about data mining. One way of predicting if future stocks prices will increase or decrease is Data Analysis. This technology is designed to help investors discover hidden patterns from the historic data that have probable predictive capability in their investment decisions. A challenging task of financial time series prediction is the prediction of the pricess of financial stock markets. Five methods of analyzing stocks were combined to predict if the day�s closing price would increase or decrease. These methods were Typical Price (TP), Bollinger Bands, Relative Strength Index (RSI), CMI and Moving Average (MA). This paper discussed various techniques which are able to predict with future closing stock price will increase or decrease better than level of significance. Also, it investigated various global events and their issues predicting on stock markets. It supports numerically and graphically.

Keywords: Data mining, Data analysis, TP, RSI, CMI, MA.

Abstract: Log analytics using ELK stack is an implementation of Logstash for extracting and indexing, Elasticsearch for searching and kibana for visualizing which are combined together to perform operation on logs. Elasticsearch is a Lucene based search server. Elasticsearch provides a distributed, multitenant-capable full-text search engine. Logstash tool to collect, index, and forward events and log messages. Kibana is used to represent the data in a graphical and statistical way. In this system we use the logs from Elastic Load Balancer, a service of Amazon Web Servers with the help of Logstash. Then these logs are indexed via logstash and represented through Kibana.These logs are properly formatted and ready for information retrieval. Thus,a system admin can check the behaviour of the whole server or a particular component by going through the logs and analyzing the system status. This will help in identifying the fallback of the server and the system administrator can take necessary actions to resolve the problems if any.

Keywords: Lucene, Amazon Web Servers, Elastic search, logstash, kibana.

Abstract: Due to the enormous growth in the number of vehicles, traffic density in cities is increasing day by day. So when it comes to the case of an ambulance, the chances for it to get stuck in traffic blocks are very high. Such situations can even cause death if the victim is in a critical stage. The delay in reaching of the ambulance to the accident location and the traffic blocks in between accident location and hospital increases the chance of death of the victim. This calls for the need of introducing a system to reduce the loss of life due to the delay in reaching the hospital. Our project considers optimal transport routes of ambulances which minimize the transport duration to a hospital. PIC microcontroller, GPS, GSM, RF ID, ZIGBEE are the major components used. Our project is mainly concerned in that area where, when an ambulance approaches the traffic signal, it will be cleared automatically, that is the signal will turn green with respect to the arrival of the ambulance. Here we are using an RF ID for detecting the ambulance. The project mainly consists of two sections; an ambulance section and traffic section. GPS module is used to determine the current location of the ambulance. GSM is used for sending message to the hospital informing that the ambulance is on the way.

Keywords: Global Positioning System (GPS), Global System for Mobile Communication (GSM), Radio Frequency ID (RF ID), ZIGBEE, Traffic section, Ambulance section.

Abstract: Mobile Ad hoc Network (MANET), a wireless network is mainly deployed over a restricted or remote area. The decentralized, self-organized & infrastructure-less design make them more susceptible to various security hazards. One of them is malignant node or selfish node attack. In this paper, a survey is done on several techniques to lessen these attacks by making network more secure and enhancing the overall performance of the network.

Keywords: MANET, survey, security services, attacks, defense mechanisms.

Abstract: The speed of any motor has to be increased from zero and should be brought to the operating speed, this is called as starting of a motor. DC motors speed can be controlled over wide range either by changing the voltage or by changing strength of current in its winding. Initially DC motors were powered by existing direct current power distribution system so these motors were the first to be widely used. A DC motor is a self starting motor, yet certain external methods are used for starting DC motor. This paper gives the study of different types of DC motors and the need of an external starter for these DC motors.

Keywords: DC Motors, Speed Regulation, Armature, Field winding.

Abstract: In recent years, owing to frequent flow of digital images across the world over the transmission media, it has become essential to secure them from leakages. Due to the exceptionally desirable properties of mixing, sensitivity to initial conditions and parameters of chaotic maps; chaos-based encryption has recommended a new and efficient way to deal with the problem of fast and highly secure image encryption. The implemented image encryption scheme consists of an 80-bit secret key and uses chaotic map like Arnold Cat-Map and Logistic Map. The initial conditions for the chaotic maps are derived using the 80-bit secret key. In this cryptosystem, permutation-diffusion architecture followed by an efficient diffusion scheme is implemented. This scheme consists of two diffusion procedures, with a supplementary diffusion procedure padded after the normal diffusion. In the supplementary diffusion module, the control parameter of the selected chaotic map is altered by the resultant image produced after the normal diffusion operation. As a result, a slight difference in the plain image can be transferred to the chaotic iteration and bring about distinct key streams, and hence totally different cipher images will be produced. Therefore, this scheme can remarkably accelerate the diffusion effect of the cryptosystem and effectively resist differential attacks. Our project objective is to provide high level of security and satisfactory encryption speed for practical secure image applications.

Keywords: Arnold Cat- Map, Logistic Map, Chaotic map, Cipher, Permutation, Diffusion.

Abstract: Millions of people worldwide do it. Many say �What�s the harm, they got home safely and no one was hurt?� Just because they made it home safely that does not mean that they're making a right decision. When putting those keys in the ignition and driving away after drinking people are not only putting their life at risk but they are risking the lives of all those they come across while driving. In this paper we are presenting the solution to avoid drink and drive situation by using the embedded system for early detection smoke and alcohol in driver�s breath, and providing mechanism to report the driving under the intoxication.

Keywords: cabinet monitoring, step sequence.

Abstract: As a navigation tool, GPS can be used to guide a person towards the desired location. The trick is to combine data obtained from the GPS coordinates with a digital map. Real-Time Travel Guide provides temporal guidance according to the schedule. The internet is more and more emerging as a handy tool of traveling for the tourist industry. It presents a perfect platform that brings products and services to the customer. In most cases, it is not satisfying to find a nice hotel without a reference to restaurants, sights or event locations located nearby. The study presented in this paper starts from the user needs, to present the tourism object in geographic context on interactive tourist maps supports planning for tourism, focusing on the analysis, decisions making and management using GIS technique and presenting the results on the internet.

Keywords: GPS, Real-Time Travel Guide, GCM, GIS Technique,

Abstract: The field of medical imaging gains its importance with increase in the need of automated and efficient diagnosis in a short period of time. MRI is the most important technique, in detecting the brain tumor. In this paper data mining methods are used for classification of MRI images. A new hybrid technique based on the support vector machine (SVM) and modified fuzzy c-means for brain tumor classification is used. The purposed algorithm is a combination of support vector machine (SVM) and modified fuzzy c-means, a hybrid technique for prediction of brain tumor. In this algorithm the first stage is noise reduction using Median Filtering. Modified fuzzy c-means (FCM) clustering is used for the segmentation of the image to detect the suspicious region in brain MRI image. Texture based features such as GLCM(Gray Level Co-occurrence Matrix)features is used for extraction of feature from the brain image, after which SVM technique is applied to classify the brain MRI images, which provide accurate and more effective result for classification of brain MRI images.

Keywords: Data Mining, MRI, Modified Fuzzy C-means clustering, Gray level co-occurrence matrix (GLCM), Support Vector Machine (SVM).

Abstract: Cloud computing, is an emerging computing paradigm, enabling users to remotely store their data in a server and provide services on-demand. In cloud computing cloud users and cloud service providers are almost certain to be from different trust domains. Data security and privacy are the critical issues for remote data storage. A secure user enforced data access control mechanism must be provided before cloud users have the liberty to outsource sensitive data to the cloud for storage. With the emergence of sharing confidential corporate data on cloud servers, it is important to adopt an efficient encryption system with a fine-grained access control to encrypt outsourced data. Attribute-based encryption is a public key based encryption that enables access control over encrypted data using access policies and specified attributes. Cipher text-Policy Attribute-based Encryption (CP-ABE) is regarded as one of the most suitable scheme for data access control in cloud storage, because it gives data owners more direct control on access policies. However, it is difficult to directly apply existing CP-ABE schemes to data access control for cloud storage systems because of the attribute revocation problem. The system proposed is, to design an efficient and revocable data access control scheme for multi-authority cloud storage systems, where there are multiple authorities co-exist and each authority is able to issue attributes independently. More specifically, it�s a revocable multi-authority CP-ABE scheme, to ensure the data access control.

Keywords: Cloud Storage, Access Control, Attribute Revocation, Multi-authority.

Abstract: In today�s era everyone is using mobile phones for communication. At the same time Mobile Providers are also providing the variety of services to users. In attempt to expand on this, we propose a GPS based school bus tracking system for an organization and parents to help to find addresses of their children and locate their positions on mobile devices. The organizations are investing money in monitoring and tracking school buses aiming at improving services and ensuring the safety. The proposed technology allows organizations and parents to track real-time information about the school bus during travel. Today for transportation most schools use Bus as a medium. But due to various problems like not reaching on time, bus failure, no proper schedule etc. By this scenario author has created an application which provides the exact location of all organizational vehicles. The system contains single smart phone that is equipped with GPS. During vehicle motion its location update can be continuously reported to a server. This location information will be plotted using Google maps on monitoring device.

Keywords: Bus Tracking System, Global Positioning System (GPS), Mobile Application, Geo-location sensor.

Abstract: The main source for the disease is the leaf of the cotton plant. About 80 to 90 % of disease on the cotton plant is on its leaves. So for that our study of interest is the leaf of the cotton tree rather than whole cotton plant the cotton leaf is mainly suffered from diseases like fungus, foliar leaf spot of cotton, Alternaria leaf spot of cotton. The machine vision system now a day is normally consists of computer, digital camera and application software. We wanted to propose this project is to produce a working system that is capable of image retrieval through the use of content analysis and associated metadata in the form of supplied cotton leaf images. Existing system based on fuzzy feature selection approach using fuzzy curves (FC) and surface (FS). The reported accuracy in the literature is around 60%. We are using two approaches to image retrieval: Text-Based approach and Content-Based approach. Our approach is more effective and raises the accuracy rate to 80%.CBIR systems search collection of images based on features that can be extracted from the image Files themselves without manual descriptive. Our propose system will have android application for farmer which will allow farmer to take snapshot of cotton leaf and show the diagnosis.

Keywords: Fuzzy curves(FC),Fuzzy Surface(FS),Contain Based Image Retrieval(CBIR),Colour Co-occurrence Matrix(CCM),Gray Level Co-occurrence Matrix(GLCM),Histogram(HSV).

Abstract: Nowadays, we hear news about fake mark sheets, fake transcripts, fake degree certificates etc. With latest printing and scanning technologies convenient and reasonable available, creating simulated documents have become an easy affair, making it tough to understand between original and the artificial. So it is a very big challenge to provide security and authenticity of digital data. This paper proposes an innovative method to authenticate the digital documents. A advanced method of QR code is introducing here, which grant multiple encryption and decryption of digital data. In this paper, we introduced a new technique, where the resume of a candidate will be encoded in QR [Quick Response] Code in encrypted form, so that if an hacker tries to change the data in the resume then he cannot do that. This is because; the encryption key is unknown to him. Encrypted QR codes are QR codes that everyone cannot scan and access. They are not very typical, since maximum QR codes are used in marketing, and the developers of those codes want them to be accessible by everybody. Protect QR codes can be built that make the scanner enter a password to be able to access the content. We are using TTJSA algorithm method for encryption and decryption purpose. TTJSA is very effective method; we encrypt the mark sheet information using the TTJSA encryption algorithm. The encrypted marks are entered inside QR code and that QR code is also printed with the initial information of the mark sheet. The marks can then be retrieved from the QR code and can be decode using TTJSA decryption algorithm and then it can be verified with marks already there in the mark sheet.

Keywords: QR Barcode, Information Hiding, Encryption Decryption, TTJSA.

Abstract: Detecting facial key point positions on images is a challenging task since facial features differ significantly from one individual to another. Even for a certain individual, there is an occurrence of wide variations due to factors such as size, position, viewing angle, and illumination effects. In this paper, we present a system that trains and compares multiple neural networks and try to optimize their learning rate constantly. This juxtaposes the different levels of accuracy obtained in predicting the facial key points in images even with a wide array of significantly varying facial features. Our method uses a simple three-layer neural network and distinct variations of convolutional neural networks.

Keywords: facial key points, neural networks, hyper-parameter optimization, deep learning, convolution networks.

Abstract: We live in an era of IT world and there are lots of projects going around all over. While working on projects small or large, every team of software engineer sometimes faces problem in adding or reverting changes in code/project. There are many existing editors/workspace which fail to facilitate viewing and editing of files prone to deadlocks and race condition. To solve these problems and make a better environment, we have proposed a system, V Editor which is a PHP based web application and IDE that facilitates real time collaborative editing of files and programming which will help in collaboration in real time for any organization or software development environment to work efficiently to make necessary contribution in source code, avoid wasting time and speed more time collaborating and success of project or team.

Keywords: Real time collaborative editor, collaborative IDE, web based IDE.

Abstract: Security is a key feature in mobile ad hoc networks (MANET) but they are prone to various types of attacks such as network layer attacks. Black hole attack comes under the category of network layer attacks. In Black hole attack, malicious node falsely claims that having shortest path to destination and eventually captures all data packets from source which are intended to forward further to destination. This results into the performance degradation of network and also causes battery problem. In this paper, some of the detection techniques are discussed which are put forward by various researchers. By studying those techniques, new detection mechanism is proposed in this paper.

Keywords: AODV, Black hole attack, Malicious node, Mobile Ad hoc network, Routing protocols etc.

Abstract: In wireless communication fading is a phenomenon which degrades the performance of the link it includes Rayleigh, Nakagami-q, Nakagami-m, Rician fading. In this paper the performance of wireless link over Rician fading channel have been analysed. A closed form expressions of outage probabilities, bit error rate (BER), end to end average received signal to noise ratio (SNR) and channel capacity are derived for Rician fading channel. Outcome of this paper will be helpful for establishing wireless link in Rician fading channel.

Keywords: Bit error rate, channel capacity, outage probability, Rician fading channel, signal to noise ratio.

No abstract available.

Abstract: The purpose of this paper is to design and simulate the serial communication environment between SPI and I2C protocol with the help of the Bridge. By using the I2C as a slave side we can increase the number of I2C peripheral devices, it is not possible with SPI because it requires separate SS_n line for different slave devices which increase the board complexity. Most of the embedded systems having only SPI interface to connect with I2C peripherals. But it is not possible to directly connect SPI with I2C peripherals. The better option to deal with this problem is to build an SPI to I2C interface with the help of the Bridge. Bridge is commonly used for transforming or converting commands and data from one device to another to perform various applications. This effort mainly focuses on protocol conversion from SPI to I2C bridge, to interface with high speed digital system.

Keywords: SPI (Serial Peripheral Interface), I2C (Inter Integrated Circuit), Bridge, SCL (Serial Clock Line), SDA (Serial Data Line), Channel Selector.

Abstract: Emerging technologies need network connection every time and everywhere. MANET can be created anywhere and anytime and well suited for these technologies. Mobile Ad Hoc Networks are the flexible and low cost of deployment. The properties of MANET are attracting the attention of developers for the future applications. Routing protocol design is the important issue of Mobile Ad Hoc Network. Dynamic network feature of MANET is creating a major technical challenge. MANET has been the attention of research area in the network. Many MANET protocols having their some specific property have been modified to enhance their performance. The performance of these protocols depends on network size and pattern of node mobility thus designing of these protocols varies. This paper presents the survey of modified MANET routing protocols. The aim of this paper is to provide the performance comparison in modified protocols. Here we will compare only those properties which are common among routing protocols.

Keywords: MANET, Destination Sequence Distance Vector (DSDV), Fisheye State Routing (FSR), Wireless Routing Protocol (WRP), Dynamic Source Routing (DSR), Zone Routing Protocol (ZRP).

Abstract: The person affected with paraplegia normally has malfunctioning of limbs. Some of these patients can only move their head. Establishing a new channel without speaking and hand/arm motions makes life easier for patients and therefore improves their life quality. The objective of our project is to present the design and application of an accelerometer based efficient human computer interface (HCI). A head mounted accelerometer device is used to detect acceleration caused by head movements of the user in three axes and the provided data are collected by software on the target computer. The movement of the eye is detected by an eye blink sensor. Through this facility, the disabled person is able to control laptop, fan, lamps and other house hold equipment�s in his room. Our main aim is to make computer easily accessible by everyone including disabled people.

Keywords: Accelerometer, eye blink sensor, software, HCI, mouse cursor.

Abstract: Machine learning is a field which deals with the creation and analysis of algorithms that can follow a reinforced methodology of learning. Such algorithms work on the basis of predictions made based on inputs, rather than following programmed instructions. In the existing search engines, if the user wants to know his likeness based on his previous searches, nothing except the history is present in the browser. In the proposed system, a framework has been designed to get a user specific re-ranking for the various websites and pages from an already present search engine and to implement Support Vector Machine Algorithm to find out the weightage of each concept. The main objective of the proposed system is to provide personalized results to the users based on their individual interests. It re- ranks the results for a given query obtained from existing search engine based on the user need. Profile database is got from a search engine for a given user query. Topical preferences are symbolized by words that occur regularly, referred as concepts. Weights are assigned to these concepts and this shows the user�s degree of interest in that concept. To show the relations among the different concepts, required information is saved along with its strength. For every query�s outcome, a score is given to each snippet based on weights of different concepts that they have and new ranking is done based on the scores. Currently web search personalization is used by social networking sites, search engines, banking services and online shopping sites.

Keywords: Machine Learning, Personalized Web Search Engine, Webpage Re-ranking, Supervised and Unsupervised Machine Learning, Support Vector Mechanism.

Abstract: Throughout the history of human society, the demands and willingness of human beings are always the source powers to promote scientific and technological progress. In this paper, we present the research hot spots and indicate possible research directions of big data. We also discuss potential development trends in this broad research and application area. This paper will serve as a readymade reference for researchers working in Big data for identifying the possible research areas in this field.

Keywords: Big Data, BDAaaS, Analysis, Mining, Parallel Computing.

Abstract: Sign language is a language which is used for communication between the hearing/speech impaired people along with others who understands it. Sign language relies on sign patterns, i.e., body language, orientation and movements of the arm to facilitate understanding between people. This paper is aimed at reducing the communication gap between the normal people and hearing/speech impaired people by converting sign language into English speech or text. The system will convert the data into speech/text. The whole system will be implemented on a MATLAB and Simulink.

Keywords: Sign language, Image Processing, Colour Models, Segmentation, Morphology, Otsu�s algorithm, Gaussian PDF, Simulink.

Abstract: Connected vehicle technology aim to solve some of the biggest challenges in the transportation in the areas of safety, mobility and environment. The safety application for Intelligent Transport System (ITS) is one of the main objectives in this Paper we focus on V2V communication, once cars are connected which is able to share data with other cars on the road and which help to reduce Highway accidents. Ultimately, vehicles are connect via multiple complementary technologies of vehicle to-vehicle (V2V) and vehicle-to-infrastructure (V2I) connectivity based on Wi-Fi, Dedicated Short Range Communication (DSRC)/WAVE wireless media to periodically broadcast their position information along with the driving intentions as they approach intersections. We provide a realistic analysis of the VANET topology characteristics over time and space (Collision Detection) for a highway and intersection scenario to integrate real-world road topology and real-time data extracted from the freeway Performance Measurement System (PeMS) database into a microscopic mobility model to generate realistic traffic flows along the highway. Also provides Collision Detection Algorithm, SSM/TEM/TEMA model to improve throughput at crossing points. In this paper we investigate the use of vehicle-to-vehicle (V2V) communications by using above mentioned algorithms and models.

Keywords: ITS, V2V, DSRC WAVE wireless media, VANET, Collision Detection Algorithm, SSM/TEM/TEMA model, NS2, AVR Microcontroller, Sensor.

Abstract: In various research and experimental areas under ocean without human intervention we need a vehicle which can accomplish the required task is known as �UNMANNED UNDER WATERVEHICLE�. In this project we will efficiently model the system and perform the various simulation tasks for pitch angle and yaw angle control by using classical control techniques i.e. P,PI,PD,PID and linear quadratic controller(LQR). By using these control techniques we will obtain the best possible performance technique to control the pitch angle and yaw angle and also here we will close compare the various parameters of different controllers.

Keywords: MATLAB, P, PI, PD, PID, LQR controllers.

Abstract: In this paper, describes the literature review for design of a �tightly coupled GPS/INS integration system based on nonlinear Kalman filtering methods�. The traditional methods include linearization of the system around a nominal trajectory, and the extended Kalman filtering (EKF) method which linearizes the system around the previous estimate, or the predication, whichever is available. The recently proposed sigma-point Kalman filtering (SPKF) method uses a set of weighted samples (sigma points) to completely capture the first and second order moments of the prior random variable. The project aims to develop a generic hardware/software platform for positioning and imaging sensor integration. In the current development phase, a tightly coupled GPS/INS integration system based on a linearization around the INS solution has been designed and implemented. The system uses the GPS pseudo range and Doppler measurements to estimate the INS errors. This paper describes further developments of the integration filter design based on the EKF and SPKF methodologies, in order to compare the performance of nonlinear filtering approaches.

Keywords: Global positioning system (GPS), inertial navigation system (INS), Non-linear Kalman filter (KF), Computer with latest configuration, Latest version of MATLAB with GPS & INS tool kit.

Abstract: In this paper introduces analysis of previous steganographyand introduction of proposed method, and also how to hide secrete message in carrier image with help of LSB method. In previous days there are lots paper introduces on data hide in a carrier image. Steganography is very old approach to hide data into a some object. Steganography comes from Greek word that means covered or secrete writing; stegan means covered and graphy means writing. In this day there is lots of security thread over internet through carrying some information. There are lots disadvantages while handling this type embedding system like capacity, accuracy and robustness. Transmission of image over the internet is vulnerable to verity attacks from untrustworthy system administrators. So it should be stored and processed in an encrypted format to maintain security and privacy. It is necessary to implement secrete message in these encrypted image. In this paper, We proposing data hiding is to performed by the encryption of a text data using twelve square substitution cipher, and then embed the cipher text in the carrier image depending on plane separation of the image and select any plane R,G,B or all for embed. We will be finding LSB algorithm on the basis of Mean Square Error, Peak Signal to Noise Ratio, Relative Payload and Rate of Embedding. The system is therefore, recommended to be used by the internet users for establishing a more secure communication.

Keywords: encryption; decryption; LSB; steganography; 12 square algorithms.

Abstract: The collection of the real time data after the detection of collision around the vehicle environment and analyze the collected data to have the conclusion regarding the collision and simultaneously transmitting the data over the wireless network. The Evidence Collection System is vehicle based device which is use to collect the data like speed, engine temperature, Brake status, LPG sensor, Alcohol content, acceleration, GPS position, wiper movement, and time etc. This data can be used to investigate the crime, rescue operation and insurance claims. This data then transmitted to the database server so that web application can be able to access this information at different places like police station, Insurance Company. In this paper, I am going to investigate the use of evidence collection system by using different sensors and wireless communication.

Keywords: Evidence Collection System, Car Black Box, Xbee module, Sensors.

Abstract: With the increasing popularity of solid state lighting devices, Visible Light Communication (VLC) is globally recognized as an advanced and promising technology to realize short-range, high speed as well as large capacity wireless data transmission. Before using visible light communication to a large extend, it is important that one should have the basic knowledge about parameters of visible light and how the parameters are different from IR. The low cost optical test bench contains systems for measuring parameters of light such as intensity and dispersion. Also the test bench includes a practical audio transmitter system which uses visible light as the transmission medium.

Keywords: Optical Test bench; Photo goniometer; VLC; Intensity; Dispersion.

Abstract: Nowadays data sharing becomes obvious for successful completion of several tasks. In many places, data sharing has created lot of problems i.e. data modification, data mishandling and data misinterpretation. If we wish to share the datasets to others, first we have to verify whether the dataset has any sensitive or confidential data, if yes, then it is necessary and essential to protect that confidential data and then it can be shared to others. Privacy preserving data mining helps to perform the data mining tasks in a secured manner. Many privacy techniques and algorithms have been proposed by many researchers. This research work Genetic Algorithm based Masking Technique (GAMT) mainly concentrated on protecting confidential numerical attributes in a dataset using the genetic algorithm. Genetic algorithm concept is used for modifying the data items of the confidential attribute and to generate new data values for those attributes. The performance of Genetic Algorithm based Masking Technique is compared with the existing technique, named as additive noise. Results showed that GAMT has produced better results.

Keywords: Data mining, Privacy, Genetic algorithms, Additive noise, X-means, Filtered and Simple EM Clustering.

Abstract: Vehicular Ad-hoc network (VANET) is a group of vehicular nodes making a temporary network without the help of any centralized infrastructure or administration. VANETs have no static configuration because of its dynamic feature of nodes. So, efficient and reliable routing is one of the significant issues in VANETs. Hence, so many routing protocols and algorithms have been improved and developed for fulfilling this objective. Thus, it�s very complicated to find which protocol performance is best in various network scenarios. This paper introduce improved Multicast AODV (IMAODV) routing protocol with restricted source routing that confirms providing reliable, on-time and accurate data in V2V communication in comparison of Improved AODV (IAODV). In result analysis, introduced IMAODV protocol performance is compared with AODV, IAODV and MAODV protocol with respect to Average End-to-End Delay (Avg. E-to-E Delay), Packet Delivery Ratio (PDR), Packet Loss Ratio (PLR), and Normalized Routing Load (NRL). Simulation analysis results illustrate that the performance of IMAODV protocol is better as compared to IAODV protocol in VANETs.

Keywords: VANET, AODV, IMAODV, MATLAB.

Abstract: In today�s e-commerce world or in competitive market structure, lots of analyzed data is required for betterment of services, probability calculations, predictions, business decisions and summary of market reputation etc. This analysis is obtained through the detail summary of customer feedbacks and product reviews etc. To analyze this kind of data, opinion mining techniques are used. Hence for fine grained output from opinion mining, word alignment model and patterns of sentences are discussed in this project. Getting opinion words and opinion targets is the important and significant tasks. After detecting the opinion target and opinion word one important task is to determine relation between them. From the review it is clear that it is achieved using word alignment technique. Word alignment model is heavy tasks hence to balance the load and gear up the execution process partial supervised technique is used and syntactic patterns are used for it. Opinion relation graph is also formed to get proper analysis using Hill-Climbing algorithm. This opinion mining concept is also merged in web based application that recommends merchandise on the basis of analysis of product reviews. This web based system will be having feedback facility to analyse the web based facility. The product will be recommended as per the user requirement. Regular expression will reduce tasks of sentence comparison and analysis of other unnecessary data process.

Keywords: Opinion mining, opinion target, opinion word, WAM, co-ranking.

Abstract: Due to extensive usage of Internet, substantial amount of data has extended widely over web, which serve access to particular data or to fetch more relevant data. It would be challenging to the search engine to provide quick results that is most relevant to the users. To search the relevant data and to reduce amount of time in fetching data, here propose the �Smart Crawler�. This returns most relevant data from the popular and most specific websites. It uses multiple search engines that processes the query provided by the user, cluster the results collected in a single platform and performs two stage crawling on data and URLs. In which in-site map generation is done to obtain relevant site with techniques such as reverse searching and page ranking.

Keywords: Deep Web, two stage crawler, ranking, in-site exploring, adaptive learning.

Abstract: Now a days, recommendation systems have seen significant evolution in the field of knowledge engineering. The models of most of the existing recommendation systems based on collaborative filtering approaches that make them simple to implement. The challenges that affect the performance of most of the existing collaborative filtering- based recommendation system are (a) cold start, (b) data sparseness, and (c) scalability. In this paper, introduced Cloud-based Bi-Objective Recommendation Framework for mobile social networks. Multi-objective optimization techniques are used to generate personalized recommendations. Hub-Average (HA) inference model is used to address the issues pertaining to cold start. The Weighted Sum Approach (WSA) is implemented for CF-BORF and greedy-BORF Algorithm is applied for vector optimization to provide optimal suggestions to the users about a venue.

Keywords: Context-Aware Web Services, Multi-objective Optimization, Collaborative Filtering.

Abstract: Mobile ad hoc networks are infrastructure-fewer networks required for establishing communication between two or more nodes without creating a common access point. There are so many routing protocols introduced in the recent scenario. In the case of On-Demand routing algorithms like AODV and DSR were taken as one of the effective scheme for achieving good Quality of service parameters compared to Table Driven method. Establishing correct and efficient routes is a main design problem in MANETs along with Energy Efficiency. Energy based papers proposed in the recent years consider the on-demand routing of AODV and DSR and some modifications have been done in order to find out a better energy efficient routing algorithm. This paper is a review of new and improved energy based routing methods used in Mobile Ad hoc networks.

Keywords: MANET; Clustering; Energy consumption; AODV; DSR; Qualty of Service; Routing protocol.

Abstract: Cloud Computing is designed as an event to anticipate the applications supported by the new paradigm and validate the mechanisms and the techniques .We address the complication of dynamic resource management for a massive cloud environment. We incorporate outlining distributed middleware architecture and performing one of its key elements: a gossip protocol that (a) establishes a generous resource allocation among sites/application, (b) dynamically adapts the allocation to load changes, and (c) rates both in number of physical machine sites/application. We exemplify the resource allocation problem as that of dynamically augmenting the cloud service under CPU and memory constraint. We present a protocol that figure out a solution without considering memory constraint and prove correctness and convergence properties. Hence we extent that protocol to provide an analytical solution for the entire problem that contains reducing the cost for accommodating an allocation. This protocol continuously executes on dynamic, local input and does not need global synchronization, as all other gossip protocol do. This paper also includes a Remote Authentication Dial-in User Service Protocol. RADIUS is a protocol that facilitates Network Access Server to utilize shared authentication server for authorization and authentication. We appraise the heuristic protocol through simulation and find its conduct to be well coordinated with our design goals.

Keywords: Cloud Computing, RADIUS Protocol, Dial-in User Service Protocol, Remote Authentication.

Abstract: Today internet is full of structured or unstructured information and this information influences people or society directly or indirectly. With the rapid growth of internet technologies, the web is considered as a world�s largest repository of knowledge. Web data processing is the method of handling high volume of data which is not so easy. Therefore, for the user benefits, web mining is used to identify the patterns by understanding the customer behaviour and evaluating a particular website based on the information stored in web log files. Web Mining is evaluated by using data mining techniques, like classification, clustering, and association rules. In this paper, we have given complete review on how to extract the useful data by using web mining techniques.

Keywords: Web mining, Classification, Clustering, Association rule.

Abstract: It is a crime to practice phishing by employing technical tricks and social engineering to exploit the innocence of unaware users. This methodology usually covers up a trustworthy entity so as to influence a consumer to execute an action if asked by the imitated entity. Most of the times, phishing attacks are being noticed by the practiced users but security is a main motive for the basic users as they are not aware of such circumstances. However, some methodologies are limited to look after the phishing attacks only and the delay in detection is mandatory. In this paper we emphasize the various techniques used for the detection of phishing attacks. We have also discovered various techniques for detection and prevention of phishing. Apart from that, we have introduced a new model for detection and prevention of phishing attacks.

Keywords: Detection, Phishing email, Filtering, Classifiers, Machine learning, Authentication.

Abstract: There are a lot of health related problems today that have a direct or an indirect connection to the respective person's body weight. Efficient diagnosis of the same and spreading proper awareness about the health hazards associated with body weight is the need of the hour. �Fitness Advisor� is a desktop application that advises the user according to his/her problem. The system uses data mining as a tool to bridge the gap between the diagnosis/solution and the user. The system uses a combination of clustering and association algorithms to efficiently direct the respective user to the best possible solution.

Keywords: Fitness, Advice, Clustering, Association, Data Mining, Health.

Abstract: This project represents Wireless Answer pad for aptitude test which is the cost efficient along with time saving test. Because simplify the examination management and performance assessment. This study emphasized on developing answer pad to reduce complexity of computer. This project work focuses on the aspects on the master-slave device and platform oriented design. For fast and convenient question navigation and performance assessment of the wide application of the handheld devices we developed this system. In this project we have attempted to approach taking examination and implementing digital answer pad into tests and other examination too.

Keywords: Aptitude, Wireless Answer pad.

Abstract: The testing is a very important innovate the event of the software system cycle. The test cases are generated multiple test suite. The regression testing is done to reduce the effort of testing by selecting a subset of test cases from the test suite with respect to some testing criteria. Combination of Greedy and multi-objective genetic algorithms (MOGAs) does not produce better results. The greedy algorithm which is used to find optimal solution reduces the time but increases cost. Genetic also find next generation of test case selection from the test suite. Hence by injecting the new diversity based genetic algorithm (DIV-GA) during the search process a better solution is provided for the detection of test cases. A way to reduce the cost of regression testing consists of selection or prioritizing subset of test cases. Therefore by selecting and prioritizing the subset of test cases and given as input to DIV-GA reduce the time & cost estimation of efficient test cases.

Keywords: Regression Testing; Greedy Algorithm; Multi-Objective genetic algorithm (MOGA); Diversity Based Genetic Algorithm (DIV-GA); Test case selection.

Abstract: This paper presents an automated voice recognized wheelchair (AVRW) based on speech recognition. It�s common that physically challenged people find it hard to move the wheelchair without external aid so this AVRW can be used by them to move around without any difficulty. The voice of the person is detected by voice capture module which will be compared by the voice recognition module with predefined voices loaded into the system. Vector Quantization technique is used to recognize the command. A microphone is used for taking code words from the patient to the PC. The signals from the PC are processed into code words. These code words cannot be directly sent to the PIC Microcontroller, so a ZigBee module is used for transmission and reception. According to the codes, the motors are rotated. These codes are compared with the MATLAB codes, if they match with each other, then the movement of motor occurs. There is also a motor driver for the control of the motor. It is also equipped with obstacle avoidance technique to help when the person may not be able to provide proper voices at the right time.

Keywords: Speech recognition, MATLAB, Vector Quantization, ZigBee, PIC Microcontroller.

Abstract: A Mobile Ad-hoc Network (MANET) is self-configured and dynamic network that formed by collecting number of mobile nodes. One cluster consists of group of nodes. It is necessary to have a good and efficient cluster formation and cluster head selection algorithm which will connect other neighbouring node. Their communication should do in very less time. In MANET security is another prime concern. The open medium and wide distribution of nodes make MANET vulnerable to malicious attackers. To prevent from such intrusions need a system which will detects as well as prevent. This system detects and prevents the intrusion in the network on the basis of parameter (such as packet loss ratio, energy consumption, packet delivery delay), once detected restricts that intrusion to enter in the network by blocking the system information of that intrusion and broadcast this information to other cluster head to save energy and protects against Intrusion.

Keywords: Wireless Sensor Network, Cluster, Cluster Head, Intrusion Detection and prevention, Mobile Ad-hoc network (MANET).

Abstract: An advance concept of database that includes the database of hospital as well as patient. It is a kind of database that includes the maintenance of patient's record. This concept avoids the process of manipulation with record. There are chances that the important data can be lost but by using this concept we can keep a backup of each and every data. Also the data are secured in each and every manner. Data will be in distributed manner thus making it available for everyone .Each and every patient will be having its own individual ID and PASSWORD. Patient's registration form is also maintained which will include his/her name, address, contact number, DOB. The distributed data will be transferred from hospital to hospital and every patient will have the access to its own personal data.

Keywords: Easy access to data, reduced paper work, past medical record.

Abstract: With growing memory and processing needs of high performance systems, it is becoming important to have low power and efficient memory circuits as it constitutes more than 70% of circuit in a general purpose processor. Low static leakage current and higher noise immunity is major requirement of memory circuits in such systems. In this work we have conducted a regressive study of different FinFet based SRAM cells and compared the performance parameters of the selected cells. On the basis of study and comparison we have concluded a scope of work on which further research will be conducted.

Keywords: 6T SRAM, TMIG FinFet, IG FinFet, HSPICE, 7T SRAM.

Abstract: Sign language is the principle means of communication for many deaf people. But most of the normal people faces difficulty in communication in this way with the speech impaired people. Thus, we proposed a system in which piezoelectric vibration sensors are installed on the hand gloves and the data obtained from the sensors are calibrated accordingly using MATLAB programming language. On tapping the vibration sensor, the data is send to the vibration sensor module. This sensor module sends the analog data to the Arduino board. Then this microcontroller board sends the analog output to the MATLAB via USB which is converted into predefined words in the MATLAB. The predefined words can be hello, good morning, welcome etc. In this way, we will understand what the user wants to say.

Keywords: Speech impaired, Piezoelectric , Vibration , Arduino , MATLAB.

Abstract: D-matrix is a systematic diagnostic model which is used to catch the fault system data and its causal relationship at the hierarchical system-level. Developing a D-matrix from first standards and updating it using the domain information is a labor intensive and time consuming task. Further, in-time augmentation of D-matrix through the discovery of new symptoms and failure modes observed for the first time is a challenging task. Is describes construction and updation of D-Matrix by automatically mining the unstructured repair verbatim ( written in unstructured text) data collected during fault diagnosis using document annotation, term extraction and phrase merging. The system construct the fault diagnosis ontology consisting of concepts and relationships commonly observed in the fault diagnosis domain. Next, employ the text mining algorithms make use of ontology concept to identify the necessary artifacts, such as parts, symptoms, failure modes, and their dependencies from the unstructured repair verbatim text. The method is implemented as a prototype tool and validated by using real-life data collected from the automobile domain.

Keywords: Data Mining, fault analysis, fault diagnosis, information retrieval, text processing.

Abstract: Keyword queries on databases provide easy access to data, but often suffer from low ranking quality, i.e., low precision and/or recall, as shown in recent benchmarks. It would be useful to identify queries that are likely to have low ranking quality to improve the user satisfaction. For instance, the system may suggest to the user alternative queries for such hard queries. In this paper, we analyze the characteristics of hard queries and propose a novel framework to measure the degree of difficulty for a keyword query over a database, considering both the structure and the content of the database and the query results. We evaluate our query difficulty prediction model against one effectiveness benchmarks for popular keyword search ranking methods. Our empirical results show that our model predicts the hard queries with high accuracy. Further, we present a suite of optimizations to minimize the incurred time overhead. We also provide mapping methodology for hotels and restaurants which will be used for getting directions with the help of Google Maps.

Keywords: Query performance, query effectiveness, keyword query, robustness, databases,Google Maps.

Abstract: RC4 has been the most famous stream cipher in the history of symmetric key cryptography. RC4 has been designed by Ron Rivets in 1987; it is the most widely deployed commercial stream cipher. The applications of RC4 are in network protocols such as WPA, WEP, SSL and in Secure SQL, Microsoft Windows, Apple OCE, etc. In this project, it has been focus on the synthesis and simulation of hardware of RC4 algorithm which can be implemented further.. The cipher was a trade secret but in 1994 it was leaked out. RC4 is extremely fast and its design is simple. This project deals with RC4 key stream generator, within the scope of the model of an exchange shuffle, in order to achieve better security. The main factors in RC4's success over such an extensive range of applications are its speed and simplicity. For Efficient implementations can be easily modification/editing can be performed either in software or / and hardware as per necessity. The RC4 code is written in Verilog language and based on synthesis result it can be further downloaded on FPGA for its hardware realization.

Abstract: Knowledge and information on all aspects of coconut disease management and variety selection are the foundations on which integrated disease management and variety selection decisions are made. To improve productivity and overall profitability, the expert system on Coconut disease management was developed to provide the management practices to be followed for getting maximum returns by detecting the disease at an early stage.The practical identification of the suitable varieties for getting high yield of copra or the varieties which are suitable for tender nut purpose, commercial cultivation and to further enhance the productivity and adaptability are the important basis for selection of varieties for getting higher yield. Most of the varieties are documented for their distinct characteristics. An extensive variety selection module is available in the system with a scientific knowledge base in the background. It is concluded that the expert system on variety selection can be used to select the suitable varieties based on the characteristics required by the end user for getting the maximum returns.

Abstract: Recently the types of information are changed from text based to the various multimedia data such as audio, image, and video. Also, our life is very influenced by various multimedia data due to the spread of the internet. In this state, it is necessary to study about efficient search method for multimedia data. In this paper, a review of literature on content based musical instrument recognition is described. The ever-increasing amount of digital audio media in recent years, led to the demand of content based retrieval of multimedia. There is in fact a growing interest for content based instrument reorganization most of the works are related to musical instrument classification, pitch estimation, music.

Keywords: Pitch estimation, musical instrument recognition systems, and multiple instruments in polyphonic music.

Abstract: Transmission line protection has become a very vital issue in power system as the transmission line connects the generating station to the end users(loads), the generating station are far away from the load end thus, runs several kilometers and hence the chances of fault occurring in the line is maximum. More than 75 percent of power system faults are occurring in transmission lines. Amongst the other electrical power system component, this transmission lines detriments more from unexpected potentially catastrophes. Due to which the reliability of the operating system degrades earlier to its worst condition. Thus, in this project our task is to make a protective system based on adaptive technique to prevent the propagation of these faults and safeguard the system against the abnormal conditions faced. The role of the protective system will be to detect and classify the type of fault also send a tripping signal to reset it back to the healthy condition after a preset value of timer. Determination of different types of faults on the transmission line is achieved by application of evolutionary programming tools of MATLAB software and Arduino mega 2560(microcontroller).

Keywords: transmission line, Adaptive technique, MATLAB version6, Arduino Mega2560.

Abstract: Online Social Networks (OSNs) are popular because of its attractive photo sharing feature among the users. The protection of a person�s private information in online social networking sites like Facebook poses a new challenge. OSNs allow users to restrict access to shared data, but they do not provide any mechanism to enforce privacy over images with multiple users. So, establishing effective method to control personal data and maintain privacy is of great importance within these OSNs. To prevent possible leakage of photo privacy, we enable each individual in a photo to be aware of photo posting activity and participate in decision making of photo posting. This paper reports, a tool called Collaborative Privacy Management (CoPE) which involves content stake-holders in managing privacy policies and ensuring protection of shared photos. Thus OSNs will protect the privacy of true user and provide secure way of sharing a photo. Hence OSNs will be safe and secure.

Keywords: Online Social Network, Photo Privacy, Photo Sharing, Collaborative Privacy Management.

Abstract: The relevance a lot of keywords will change a lot of precise came results, and therefore the preference factors of keywords represent the importance of keywords within the search keyword set nominative by search users and correspondingly permits personalized search to cater to specific user preferences. Individual will remotely store her knowledge on the cloud server, specifically knowledge outsourcing, and so create the cloud knowledge open for public access through the cloud server. It contain sensitive privacy info, they're usually encrypted before uploaded to the cloud. However, considerably limits the usability of outsourced knowledge thanks to the issue of looking out over the encrypted knowledge. during this paper, we tend to address this issue by developing the fine-grained multi-keyword search schemes over encrypted cloud knowledge. The cloud server then uses the cipher text to match the outsourced encrypted keywords, and in conclusion returns the matching results to the search user. to attain the similar search potency and exactitude over encrypted knowledge as that of plaintext keyword search, an in depth body of analysis has been developed in literature. an exploration user queries the outsourced documents from the cloud server with following 3 steps. First, the search user receives each the key key and symmetrical key from the information owner. Second, in line with the search keywords, the search user uses the key key to come up with trapdoor and sends it to the cloud server. Last, she receives the matching document assortment from the cloud server and decrypts them with the symmetrical key.

Abstract: Every single soul in this world has its own identity, whether they are of any religion or any motherland. The Unique System ID card for humans currently revolves around textual, image and biometric information. People across globe possess multiple identification cards for their uniqueness to vote, travel, economic activity, driving vehicles etc. But there are problems such as multiple cards issued to single person for same purpose burdens government work. Our proposed model reduces all the conflict issues like Forgery, Privacy, Security, Theft, and Loss of Cards.

Keywords: National ID, Smart card, RFID Tags, Biometric, DNA, API.

Abstract: Animatronics is a cross between animation and electronics. Basically, an animatronic is a mechanized puppet. It may be pre-programmed or remotely controlled. An abbreviated term originally coined by Walt Disney as �Audio-Animatronics� (used to describe his mechanized characters), can actually be seen in various forms as far back as Leonardo-Da-Vinci�s Automata Lion, (theoretically built to present lilies to the King of France during one of his Visits), and has now developed as a career which may require combined talent in Mechanical Engineering, Sculpting / Casting, Control Technologies, Electrical / Electronic, Airbrushing, Radio-Control. Long before digital effects appeared, animatronics were making cinematic history. The scare generated by the Great White coming out of the water in �Jaws� and the tender otherworldliness of �E.T.� were its outcomes.The Jurassic Park series combined digital effects with animatronics. It is possible for us to build our own animatronics by making use of ready-made animatronic kits provided by companies such as Mister Computers where no programming skills are required.Only knowledge of Windows is required.

Keywords: DMX 512, MIDI protocols, PWM signals.

Abstract: In the future, the cost of energy will increase due to environmental problem and limited sources. The electric motors consume a significant amount of electricity in the industrial and in the tertiary sector of the India. Because of its simplicity and robustness the three phase squirrel cage induction motor is the prime mover of the modern industry. The electric motor manufacturers are seeking methods for improving the motor efficiencies, which resulted in a new generation of electric motors that are known as energy efficient motors. This paper deals with energy conservation by installing energy efficient motor (EEM) instead of standard efficiency motor. and One case study. This transition becomes a necessity as a direct result of limitation in energy sources and escalating energy prices. In the end of this analysis there are different practical cases in where EEM is compared with standard motor and rewound motor, In all these cases energy savings can be achieved and the simple payback is less of five years. The energy consumption of electric motors is broken into two categories. Direct energy consumption which is the energy consumed while performing work and indirect consumption the fixed energy consumed regardless of the operational state. So, it is very interesting the implementation of EEM in the industry.

Keywords: EEM, Standard efficient motor, Improvement Opportunities, Energy Saving.

Abstract: The monitoring of weather is really helpful in various applications like in critical scientific systems or for simulation purposes. In other fields like agriculture, disaster management and medical suited environments. Weather sensing is one of the major functions in aerospace applications to check suited weather environments of other planets too. For example, NASA Mars REMS(Rover Environmental Monitoring Station) for providing daily and seasonal reports. The need for this project came from the support of a fact of very low popular devices and instruments are available that can provide you live weather results. On top of that requirement of accessing it anywhere.

Keywords: Arduino, cc3000, weather station, thingspeak, wireless, portable, weather monitoring.

Abstract: Social Networking sites provide tremendous impetus for Big Data in mining people�s opinion. Public API�s catered by sites such as Twitter provides us with useful data for perusing writer�s attitude with reference to a particular topic, product etc. To discern people�s opinion, tweets are tagged into positive, negative or neutral indicators. This project provides an effective mechanism to perform opinion mining by designing a end to end pipeline with the help of Apache Flume, Apache HDFS, Apache Oozie and Apache Hive. To make this process near real time we study the workaround of ignoring Flume tmp files and removing default wait condition from Oozie job configuration. The underlying architecture employed here is not restricted only to opinion mining but also has a gamut of applications. This paper explores few of the use cases that can be developed into actual working models.

Keywords: Opinion mining, Big data, Hadoop.

Abstract: A data Analysis and visualization technique poses challenges too many areas of the data mining research. There are several visualization techniques and tools have been proposed for almost all domains. But there is a necessity to summarize and visualize a large citation network data according to the user customization. While performing the visualization, influence data should be identified using the summarization technique. The summarization and visualization of graph structured data is a tedious part in research. The existing state of the art influence maximization algorithms can detect the most influential node in a citation network for all structured data, except graph structured data. Clustering techniques are widely used to fold large graph structured data in existing graphs summarization methods. In this paper, first formally define the problem of data summarization and visualization process with three segments, which are effective summarization, localized summarization and handling high, influenced rich information in citation networks. In general, research filed contains lots of interrelated datas, which has multi associations among the data. To handle the above Graph data visualization and summarization problem, here propose a new prototype named as (GSV) Graph Summarization and GSV algorithm for large scale citation networks. Finally present a theoretical analysis on GSV, which is equivalent to the existing kernel k mean clustering algorithm.

Keywords: Data summarization, visual data mining, Graph mining, GSV.

Abstract: This paper presents a flexible and an inexpensive home control and monitoring system by utilizing network based on Raspberry Pi and using Arduino Microcontroller. The interface between the Access Point and switches with IP connectivity for accessing devices and appliances and controlling it remotely will be made by using Android based Smartphone application or server computer. This switch node connected to electrical devices that can be controlled using sensor and remotely controlled through an access point, the Smart Switch system for Smart Home development consists of two major parts that are smart switch device and the access point. The main hardware for this system contain: Raspberry Pi, Arduino Microcontroller, nRF24L0+ Wireless Transceiver, Relay Modules, Gang Switches, Lamps, Plugs, Sensors and Wire Set. Expected outcomes from this system: programming by using Python that comes built-in with Raspbian, Wireless module adapter to make connections between the Arduino Microcontroller and nRF24L0+ Wireless Transceiver.

Keywords: Smart Home, Raspberry Pi, Arduino UNO R3, wireless sensor network, Android, Home Automation.

Abstract: In Our Project Presents fusion of three biometric traits, i.e., iris, palm print and fingerprint, at matching score level architecture using weighted sum of score technique. The features are extracted from the pre-processed images of iris, palm print and fingerprint. These features of a query image are compared with those of a database image to obtain matching scores. The individual scores generated after matching are passed to the fusion module. This module consists of three major steps i.e., normalization, generation of similarity score and fusion of weighted scores. The final score is then used to declare the person as Authenticate or Un-Authenticate with Secret Key Analysis.

Keywords: Multimodal, multi-resolution, curvelet tranform, ridgelet transform, score combination, weighted similarity.

Abstract: Peer-to-peer (P2P) networks are used to the consideration ofa worldwide with their excessive success in the file sharing in the networks (such as Napster, Gnutella, Kazaa, BitTorrent, JXTA and Freenet). Increase the popularity of (Peer to Peer) P2P networks has been witnessed by millions of Internet users. In this paper, an analysis of network architectures evolution, from client to server Peer to Peer (P2P) networking, will be given, underlining the benefits and the probable problems of existing approaches, which provides essential theoretical base to drive future generation of distributed systems. Peer to Peer (P2P) are important improvements on large scale DS (distributed systems) design and evolution of the Internet architectures. Widely used applications have a great pact of thepractical result has been followed in the research area for improvement. (P2P) Peer-to-Peer content/file sharing, mediastreaming, and telephony applications. There are a large range of other applications under improvement or being proposed. The underlying architecture shares the feature such as decentralization, sharing of system resources, virtualization, autonomy and self-organization. These features constitute the P2P paradigm. [1].

Keywords: Peer-to-peer (P2P), DS (distributed systems), decentralization, telephony applications.

Abstract: USB flash drive is device that is used to store the data. Cloud storage is also used to store the data on the middle server. But the USB flash drive has the drawback that it is too small in size, because of that it can be easily misplaced or lost. In case of cloud storage data can be misused if the username and password is hacked by someone else. To overcome all these problems, iTwin is the best solution. It is the secure USB device that can be used to access, share & edit all the files and media between any two online computers anywhere in the world. It allows remote file access without any security and privacy risks.

Keywords: AES (Advanced Encryption Standard), PC (Personal Computer), USB (Universal Serial Bus), VPN (Virtual Private Network

Abstract: Content based image retrieval system is the most interested topic for researchers in these the three visual features are considered as color, shape and texture, these terms are refers as content in a content based image retrieval system. Although the visual features are not give accurate result but colour, shape and texture are used because they are easier to assimilate into mathematical calculation. Color, shape and texture are most widely used contents for content based image retrieval system. The goal of content based image retrieval system is that to retrieve query image from large database. Color shape and texture extracted feature for given query image and measure the similarity from database image and retrieve the similar images as a query image extraction features.

Keywords: Content Based Image Retrieval System.

Abstract: In industry DC motor is widely uses for speed control and load characteristics, it's easy controllability provide effective and precise output so application of DC motor is large for commercial purpose. Speed control of DC motor is very crucial in application where required speed is precision and correcting signal representing and to operate motor at constant speed, so we used PWM method which are fulfill all requirements to speed control of DC motor. PWM based speed control system consists of electronic components (integrated circuits, Sensors etc.). In this paper, to control the speed of DC motor using Pulse Width Modulation (PWM) method. Microcontroller AT89S52 is used to generate PWM. L293D IC is used to drive the motor which is made up of two H-Bridge. 555 IC is used with opto coupler to sense the speed of DC motor. Rectifier circuit is used for power supply to circuit and motor. This paper shows that precise and accurate control of small DC motors can be done efficiently without using costly components and complicated circuit.

Keywords: DC motor, H-bridge, Pulse Width Modulation, IR sensor.

Abstract: Noise is one of the main problems of digital image processing. The noise in an image is a disturbance while performing operations in the image processing. Medical images plays vital role in digital image processing. In dermoscopic images, the unwanted hairs on skin lesion, air bublles etc., are considered as noise. Noise can be removed in the preprocessing stage through filtering. Filtering is the technique used in preprocessing to make the image a clear and eligible manner so that other process can be further continued without any disturbances. This paper mainly focuses on the noise in an image and filtering used to remove the noise.

Keywords: Noise, Filtering, Images, Pixels, Preprocessing.

Abstract: In the current scenario AI plays in vital role in various fields such as medicine, robotics, etc. This paper discuss about the artificial intelligence, its functions, advantages, disadvantages and its applications. In future, the intelligent machines will be replaced to improve the capability of a human in many areas. The intelligence of AI is revealed by machines or software. It also the subfield of computer science, now a day�s becoming popular in power station.

Keywords: Artificial Intelligence, Medicine, Robotics, Human Intelligence.

Abstract: Recent Status: This project provides an interface to break the gaps between: 1. Student � Teacher 2.Student � Alumni 3.Teacher-Parent 4.Student-Student. Among many other reasons, the main reason for creating the project is to reduce the communication gap and information gap between student and teacher. Mostly, it is seen that the students are unable to communicate with the teachers and hence there is a communication gap that creates disability in creating a bond between the student and the teacher, which is very much essential. There is no common interface for student-teacher communication and in case if any student is unable to communicate face to face like for any problem to sort out. There are many students who want to share their views regarding their self-development or mutual development. It consists of an area where the students can share their point of view and also provides an area called �Grievance Cell�, where the HOD (head Of Department), and teachers can give their suggestion and advise for students for improving or polishing their skills. Here, the students will be benefited as they get an option for a path to choose, what they are going to do further. Most of the student is unable to go through the notice board. It consists of an area where the users (student and teachers) get each and every details like: 1. Result 2. Attendance 3. Noticeboard 4. Notes 5. Grievance cell 6. Fun time 7. Ask me please 8. Update account 9. Chat 10. Support

Keywords: Software Interface; attendance, result and notice; Queries; Proctor.

Abstract: The follow of using remote servers massed on internet to store and manage data is known as cloud computing. Both the hardware and systems software in the data centre provides the application services on the internet. Integrity of data storage in cloud has become a major confront. Hence, facilitating public auditability for cloud is important with intension that users can route to a Third party Auditor (TPA) to check integrity. TPA executes audit for multiple users all together efficiently. This paper brings out a survey on different auditing mechanisms.

Keywords: Cloud Computing, Integrity, Public Auditing, Third Party Auditor (TPA).

Abstract: Text Mining is an important step of knowledge discovery process. Text mining extracts hidden information from not-structured to semi-structured data. It is the discovery by automatically extracting information from different written resources. There is a two basic methods used in text mining which is term based and phrased based approach; both methods have their merits and demerits. We proposed a combined approached to mine effective text form text documents using advantageous of methods, term based and phrases based simultaneously. The experiment results show the efficiency of the work.

Keywords: Text mining, pattern mining, pattern evolving, information filtering.

Abstract: In the era of ever increasing demand for vehicles brings forth various inherent problems with the large vehicle populous such as traffic congestion, fatal accidents, vehicle bunching etc. One of the problems caused by buses specifically is bus bunching. It is the tendency of buses to converge at a bus stop which is majorly due to traffic conditions, where buses tend to clump. Another reason is due to communication gap between buses drivers due to which multiple buses converge at the same bus stop. In this paper an idea to overcome this problem is presented.

Keywords: Microcontrollers, RF signals, GSM, Protocols, Antennas.

Abstract: The aim of technology is to make products in a large scale for cheaper price and increased quality. As the current manufacturing technology is at macro level but the future lies in manufacturing product at molecular level. On the basis & advent of nanotechnology one such product manufactured is pill camera. �Camera Pill� or Capsule endoscopy is a new diagnostic tool that permits a direct visual examination of the small intestine, an area of the body not previously accessible using upper endoscopy from above or colonoscopy from below. The pill, known as the Capsule Endoscopy, is about the size of a multivitamin and is swallowed with a sip of water. The pill is made of specially sealed biocompatible material that is resistant to stomach acid and powerful digestive enzymes and thus every care is taken such that the caps will not rupture or burst. Its non-invasive diagnostic alternative that is relatively quick, easy, office based test that will encourage people to see their doctors to get checked for diseases, Capsule endoscopy helps your doctor evaluate the small intestine. This part of the bowel cannot be reached by traditional upper endoscopy or by colonoscopy. The most common reason for doing capsule endoscopy is to search for a cause of bleeding from the small intestine. It may also be useful for detecting polyps, inflammatory bowel disease (Crohn�s disease), ulcers, cancers, andanemia and tumors of the small intestine. It takes picture of our intestine and transmits the same to the receiver of the computer for analysis of our digestive system. This process can help in tracking any kind of disease related to digestive system.

Keywords: colonoscopy, endoscopy, polyps, crohn�s disease.

Abstract: Quick response (QR) code is a barcode widely used in many applications such as manufacturing, marketing, product tracking etc. The appearance of QR code can be improved by embedding image in to code. This paper explains the basic concept of QR images, a various exist methods to embed QR codes in to images. These embedding are suitable with standard decoding applications and can be applied to any color images with full area coverage. This insertion takes benefits of the support of QR readers against interruption of image luminance, the important information in QR code bits are transformed in to luminance values of the aimed image which is to be aimed. To minimize the visual distortion of the QR image, the algorithm uses half toning masks for the selection of modified pixels and techniques to locally optimize luminance levels of the QR image. In order to minimize processing time, the optimization technique consider the mechanics of a common binarization method, genetic algorithm etc.

Keywords: QR code, Image embedding, Multi resolution Half toning, half toning, genetic algorithm, DWT.

Abstract: Agriculture is the mainstay of a developing economy like India. Majority of its population depends on agriculture for their income. With depleting resources, reducing land sizes and increase in input and labor costs, combined with the uncertainty of various factors like weather, market prices etc, agriculture in India has become a profession which is full of risks. The advancements in technology must be worked upon across various disciplines and it has already shown dramatic improvements in many fields. However, agriculture has not benefitted much from such advancements. Smart farming is the need of the hour of the Indian economy. Machine learning is an imminent field of computer science which can be applied to the farming sector quite effectively. It can facilitate the up-gradation of conventional farming techniques in the most cost-friendly approach. The purpose of this paper is to broaden the farming horizon by listing and evaluating the different applications of machine learning in Indian agriculture and to help the farmers advance their work up by many notches.

Keywords: Indian Agriculture, Farming, Machine Learning, Applications.

Abstract: Cervical cancer is the largest common cause of cancer deaths in women around the world. It affects the cervix in the female reproductive system which leads to death. To identify the stages of cervical cancer the decision trees are very helpful. They classify the stages of the cervical cancer and help the oncologist to detect the cancer. The proposed way use the data set obtained from (http://www.igcs.org) & predict the stages of cervical cancer using See5 tool.

Keywords: Cervical Cancer prediction; Machine Learning; See5, Decision Tree; C5.

Abstract: As we have limited energy resources and computational power, data aggregation from multiple sensor nodes is done using simple methods such as averaging. WSN�s are usually unattended, they are highly vulnerable to node compromising attacks. Thus making it necessary to ascertain trustworthiness of data and reputation of sensor nodes is crucial for WSN. Iterative Filtering algorithms were found out to be very helpful in this purpose. Such algorithms perform data aggregation and provide trustworthiness assessment to the nodes in the form of weight factors.These algorithms simultaneously aggregate data from multiple sources and provide a trust estimation of these sources, usually in a form of corresponding weight factors assigned to data provided by each source. In this paper we analyzed some secure data aggregation mechanisms and introduced a new complicated collision attack with its impact on wireless sensor networks.

Keywords: Collusion Attacks,data aggregation,Iterative Filtering Algorithm,wireless sensor network.

Abstract: Visual Data Mining is a new approach for exploring very large data sets, combining traditional mining methods and information visualization techniques. The advantage of visual data exploration is that the user is directly involved in the data mining process, through analysis the results of the information visualization, user can integrate the specialist knowledge with the data mining algorithm. This paper presents current visualization methods applied in data mining.

Keywords: Visualization Techniques; Visual Data Mining; Data Mining.

Abstract: Inpainting is a technique of rendering an image in an undetectable form. Inpainting technique is applicable for restoration of scratched photograph, removal of undesirable objects , reconstruction of 3D surfaces etc. Here we are using a modified exemplar based inpainting [1] to remove occlusion from an image. Here we are using a modified data term from gradient based data term. Here in this paper we remove object(s) from digital photographs, and then fill the hole with information extracted from the surrounding area. The modifications we introduced are, changing the window size after each iteration and a modified data term is used.

Keywords: Confidence Term, Data Term, Priority Term, Source region, Target region.

Abstract: As the advancement in science & technology is developing, the human comfort & needs are also increasing proportionally. As all the branches of engineering are working on fulfil these needs and among all those the �ELECTRONICS� is one of the most important branches to respond to these needs. This paper entitled �AUTOMATIC PROTECTION OF CLOTHES FROM RAIN� is small step towards the comfort ability and save our time. By considering above views, which encourage us to choose such a project. Though this project is low cost, easy to understand & simple in construction, this project helps for next generation.

Keywords: Microcontroller, Driver circuits, Sensor system, Power supply.

Abstract: In this project our main aim is to develop a system wherein an individual can train robots and teach them how to perform a task by showing them how it is done by actually performing the task once. This type of system would reflect on the human methods of teaching wherein a teacher teaches a student how to perform a task by showing them how it is done by actually performing it once himself. As a child observes and learns the teacher�s methods and actions and tries to repeat the same when he tries it himself, our system will install the same characteristic into our robot as well. For the purpose of presentation of such a system, we will implement an algorithm or a procedure via which the robot will record and learn the actions when performed by the user or the trainer in the learning phase which is nothing but when the user is performing and teaching the action to the robot for the first time. We will derive a technique or a mechanism via which these actions can be stored, altered and replayed. Also, filters, acceleration, slow motion replays are also be included. We are going to create the dummy model of a vehicular robot to demonstrate the system. The user will guide or train the robot to run on certain track or paths by manually driving it once, after which the robot will record, learn and execute the task itself.

Keywords: Real-time control, Experience replay (ER), reinforcement learning (RL), Q-learning, robotics.

Abstract: The main objective of this project is to provide uninterrupted power supply to a load, by switching automatically battery. The demand for electricity is increasing every day and frequent power cuts is causing many problems in various areas like industries, hospitals and houses. An alternative arrangement for power source is a must. In this project uses four switches to demonstrate the respective failure of that battery .When any of the auto switches is pressed it shows the absence of that particular source, switches are connected to system. The output of switches is given to the relay driver IC, which auto switches appropriate relay to maintain uninterrupted supply to the load. The output shall be observed using a LED drawing power supply from first battery initially. On failure of the first battery load is shift to another battery.

Keywords: Uninterrupted power supply (UPS),Liquid Crystal Display(LCD), Threshold voltage(Vth).

Abstract: The objective of this research paper is to design a �System-On-Chip (SoC)� having required modules/functional blocks in a single chip to generate accurate timing signal, derived from the satellites (GPS) signals, these are called �Timing Systems�. The timing signal is distributed over Ethernet network using protocols like Serial, IRIG, NTP etc for time stamping, time updation & to use for synchronization of systems. The satellites (GPS) signals are generally from GPS / GLONASS / GALILEO satellites constellation. The satellite signals are received and through the process of triangulation precise position of the receiver and thereby accurate time information is derived. In the absence of signals from the GPS satellites, the time updation process continues with a local clock source built with in the SoC.

Keywords: SoC, FPGA, GPS, NTP, IRIGB, Ethernet, TGL, PTP, IP Core, Acquisition, Tracking.

Abstract: Textual passwords are the most common method used for authentication. But textual passwords are vulnerable to eves dropping, dictionary attacks, social engineering and shoulder surfing. Graphical passwords are introduced as alternative techniques to textual passwords. Most of the graphical schemes are vulnerable to shoulder surfing. To address this problem, text can be combined with colors to generate session passwords for authentication. Session passwords can be used only once and every time a new password is generated. In this paper, we proposed to generate session passwords using text and colors which are resistant to shoulder surfing. These methods are suitable for Personal Digital Assistants.

Keywords: Authentication, cryptographic hash function, graphical password schemes, session passwords.

Abstract: In big data on measuring relationships between number of objects in Wikipedia whose pages can be considered as separate objects. Most of the users does not know searching using Google and don�t know about Wikipedia website. Previously searched data is used in reducing the real time traffic; thereby it changes traffic situations automatically. In our proposed system we included the distributed scenarios with the global traffic prediction. Using the maximum generalized flow technique [8], the three concepts such as distance, connectivity, and clustering is used in our method. External and internal relationship methods are targeted [5], [4].Mining elucidatory objects would open a novel way to deeply understand a relationship.

Keywords: Mining Of Wikipedia, separate objects relationship on Mining, Analysis on link, Maximum Generalized Flow.

Abstract: Cloud is combination of server and computer that are interconnected together to provide resources to clients. It expose as a new brand computing prototype that aims to supply reliable, custom-made and QoS (Quality of Service) and dynamic environments for end customers. In cloud environment the resource allocation plays a major role in the performance of entire system and also the customer satisfaction provided by the system. In the proposed system, the main goal is to provide equal and distributed load over all the processors. Various strategy algorithm and policy has proposed and implementing Load balancing in Cloud environment. The paper, we represent a WRR algorithm combined with queuing algorithm applied to expeditiously order computation jobs among the processors onto the cloud datacenters with less communication overhead.

Keywords: Cloud Computing, QoS, WRR algorithm, Load Balancing.

Abstract: This paper is based on design and simulation of rectangular Microstrip Patch Antenna with double L slots which covers the frequency range of WiMAX and WLAN applications. The basics and fundamentals of Microstrip patch antenna is also covered in this paper. The various parameters of the antenna are the dimensions of the patch and ground planes and the separation between them and this antenna is fabricated using an h=1.6mm thick FR4 substrate (?r=4.4). The design and simulation of the antenna is carried out using CST microwave Studio suite. The design is a double L shaped Microstrip Patch Antenna that uses defected ground plane which covers the entire WiMAX and WLAN range. Return loss curve, E-field, H-field, Voltage standing wave ratio (VSWR) for designed antenna are shown. The proposed antenna has return loss of -20 dB at 3.5 GHz and -14db at 10.2 GHz This shows that the proposed antenna covers WLAN and WiMAX range. This design results in a reduction in size and weight and allows easy integration in hand-held devices.

Keywords: Flame Retardant 4(FR4), worldwide interoperability for microwave access (WiMAX) and wireless local area network (WLAN), Computer Simulation Technology (CST), Voltage standing wave ratio (VSWR).

Abstract: Cloud computing has been envisioned as the de-facto solution to the increasing storage cost of IT enterprises. The cloud vendors, customers and different pricing policies are confused to choose suitable cloud(s) for storing their data and to choose the cheaper methodology Apart from the reduction in storage moves the user�s data outsourcing to the cloud also helps in reducing the maintenance .This paper provides a scheme which gives a proof of data integrity in the cloud which the customer has employ to check the correctness of his data in the cloud. This strategy ensures that the storage at the client side is minimal which will be beneficial for thin clients.

Keywords: CHARM, multi-cloud, efficient, suitable cloud data hosting.

Abstract: Semantic Web is the representation of knowledge which consists of a huge amount of ontologies. Ontologies provide an efficient way to reduce the amount of information overload by defining the structure of a specific domain and enabling easier access to the information. Ontology search can prove its excellence only when the retrieval involves highly relevant information based on the user�s query. The ranking method increases the scope of knowledge searching in ontology-driven searches. This paper reviews most of the ontology ranking methods used, which will help researchers to proceed further.

Keywords: Semantic web, Semantic search, ontology, ontology ranking.

Abstract: MRI images plays important role in auxiliary radiologists approaches for diagnosis and treatment. It is an inventive classification technique to notice normal and abnormal MRI brain image. Medical image like ECG, MRI and CT-scan images are important way to diagnose disease of human being efficiently. The standard analysis of tumor based on visual check up by radiologist is the conjugative method, which may lead to wrong classification when a large number of MRIs are to be analysed. The prospect of endurance can be expanded if the tumor is observed perfectly at its recent stage. Magnetic resonance imaging (MRI) technique is used for the study of the human brain. Segmentation techniques locate tumor location. In this review, classification techniques based on Support Vector Machines (SVM) are suggested and tested to brain image classification with the help of segmentation. The main objective of this paper is to provide a magnificent result of MRI brain tumor classification using SVM. The different segmentation and classification techniques are described here. An efficient techniques are used for segmentation and classifications.

Keywords: Brain tumor, magnetic resonance imaging, support vector machine, ANN.

Abstract: Network survivability is the ability of a network getting connected under failures and attacks, which is the most important topic in the design and performance of wireless ad hoc sensor networks. The motivation of a large portion of research efforts has been to increase the network lifetime, where the lifetime of network is measured from the instant of deployment to the environment when one of the nodes has exhausted its limited power source and becomes in-operational which is commonly referred as first node failure. But there is a class of resource consumption attack called vampire attack whose work is to permanently disable the whole network by quickly draining nodes battery. The paper projects its focus on the way in which the attack should be overcome in the best possible manner. The security work in the wireless sensor network area which is priority and primarily focusing on denial of communication at the routing or mac levels. In this paper, the attack which is mainly focusing on the routing protocol layer that type of attacker is known as the resource depletion attacks. This attack causes the impact of disabling the networks by drastically draining the nodes battery power. This paper presents the detecting and preventing the lifetime of node by vampire attack and also the data security using the secret sharing algorithm.

Keywords: wireless sensor network, AODV, secrete sharing algorithm, DOS, MAC.

Abstract: The brain is the main processing unit of the central nervous system and its structure is very complicated. Tumor is nothing but an unstoppable growth of tissues in any part of the body. Tumors are of different types and characteristics and also have different treatments. Brain tumor extraction and its analysis are challenging tasks in medical image processing because brain image and its complex structure. Segmentation is applied in medical images is an essential process in analyzing and curing an illness. Thus, it is obvious that the purpose of clustering in medical images is the recognition of damaged areas in tissues. Here a brief review of different segmentation techniques has been discussed for detection of tumor from Magnetic Resonance Imaging (MRI) of brain. Finally we propose an automatic tumor detection system using image segmentation method.

Keywords: MRI ,brain tumor, image segmentation, k- means clustering, Genetic Algorithm.

Abstract: Cloud provides computing resources as an on-demand service. The main service of cloud is data storage. It has different data centre to maintain and monitor user data. It is more reliable storage but it has many security related issues. To address this security issues in the cloud, this paper proposes a security framework comprises of three main services for security, key and storage. Security is provided as a service to users. This framework consists of two security services for different types of data. Users have to choose any one security service based on their choice. Key generation is another service in the framework which provides key for security service by the way of sending the key directly to the users. Keys used for security service are not known to other cloud service in the framework. The framework protects attacks from inside and outside the cloud. It enhances the security in the public cloud environment.

Keywords: Cloud Storage; Security Service; SECaaS; KaaS; STRaaS;

Abstract: To add high availability and reliability to mobile networks, checkpoint based rollback recovery techniques are widely applicable. Checkpointing methods for traditional distributed systems cannot be applied directly to the mobile networks. The main focus in a single process checkpointing protocol is on ?nding optimal checkpoint interval to minimize the loss due to any fault, but in a distributed environment the main focus is on ?nding out and saving a global consistent state of the system. The challenge in ?nding a global consistent state is that interprocess communication creates dependencies that must be factored, otherwise the global checkpoint becomes useless. Mobile ad hoc networks throw up a plethora of challenges in tracking interprocess dependences including how to reliably save checkpoints in face of transience and node failures, where to save the checkpoints and how to reconstruct the stable global state from the nodes which are available after the fault. This paper present the simulated performance analysis of couple of uncoordinated checkpointing protocols for wireless ad-hoc networks on the basis of different size clusters, different number of recovery messages, different numbers of failures, and different recovery time.

Keywords: checkpointing, uncoordinated, recovery, simulation, algorithm, cluster.

Abstract: Currently, the majority of the training management systems of the University and the College are built in the centralized database model, database is stored in a server and all operations as module registration, imported scores from the Training Department or course management of teachers, etc. are accessed directly to the same server and they can cause overload processor for the server, and have reduced performance and sometimes affected the safety of system. So in this paper, we research and build the distributed database model as well as proposal of the distributed database model in training management and synchronization solution

Keywords: training management, distributed database, synchronization, replication, training department.

Abstract: This paper work describes the different denoise techniques for the removal of impulse noise. The Image denoising is the manipulation of the image data to produce a visually high quality image. Image Enhancement is one of the most important and difficult techniques in image research. The aim of image enhancement is to improve the visual appearance of an image or to provide a better transform representation for future image processes. At present there are a variety of methods to remove noise from digital images. Filter techniques are mainly used for de-noising, smoothness and sharpening of images. We are designing a new modified decision based un symmetric and Symmetric trimmed median filter for removal of these different noises by using median filter, Adaptive median filter, and Decision based Adaptive median filter. Most of the previously known techniques are applicable for the denoising of images corrupted with less noise density. Here a new decision based technique has been presented which shows better performances than those already being used and the new proposed algorithm will definitely protect the image from noise and distortion. In this paper we present different denoise filtering techniques for image quality improvement and this concept is applied to the different images and compares their performance parameters such as MSE, PSNR, correlation etc.

Keywords: Impulse Noise, Non Linear Filters, MSE, PSNR, Correlation.

Abstract: Aerial robotics can be used in the application of research and research operation in which it will automatically and accurately detect the disaster places such as collapsed buildings, fire, forest fire etc. And provide the guidance to the ground reserve team and could save the time. Aerial Robot is the only solution to reach to inaccessible places to take images and collect the information in natural disaster and environment protection. AERIAL ROBOT is used in various fields and it can contribute a lot in development and enhancement.

Keywords: Aerial robotics, Drone, Agriculture, Medical, Motor, Sensor.

Abstract: This paper describes coin based solar mobile charger using MATLAB. Mobile phone�s become a major source of business/personal communication in this era; the mobile phone business is currently worth billions of dollars, and supports millions of phones. The need to provide a public charging service is essential. Many critics argued that a public mobile phone charging service is not a lucrative business because most users can charge their phones at home, in their office or in their cars. Coin operated mobile phone charger is new business milestone because many are attending business conventions and forgetting their charger at home or work place. Students and many people use the public transportation that don�t know that their level of their battery is low are prospective customers for coin operated mobile phone charger service. Recommended locations include: Hotels, Conference centres, Exhibition halls, Serviced offices, Exchange halls, Motels, Leisure centres, Health clubs, Training centres, Golf clubs, Retail outlets, Shopping malls, Internet cafes, Universities, Colleges, Hall of residence, Airports, Train terminals, etc., so that the mobile phone users can reactivate a low or dead battery by simply plugging in and charging for one, two or five rupee. This is designed based on PIC16F877A a 40-pin micro controller which works on the basis of the coin detection MATLAB codes.

Keywords: Webcam, LDR, LCD Display, Solar Panel, Relay, Microcontroller, Motor Driver, USART, Mobile Phone, Solar panel.

Abstract: Nowadays android phones are used for various purposes that are used in our daily life[1]. Similarly android phones can be used for supervising and regulating computers over a LAN network. We used Wi-Fi network to make a connection between a mobile phone and a personal Computer through servlet socket programming in java. The Wi-Fi network acts as a platform for sending and receiving commands and messages between the server and the client. Here the android phone is used as a server and the computer as a client. The server program sends some data as a command to computer�s communication port. There is a client program in computer which read�s the data from the communication port and executes the commands present in the data. Using Android SDK we have created an interface to monitor process on Android Device. The communication between Android Device and Computer is done by using PHP with Wamp Server in Backend. When the user/admin start�s the Android interface he/she can fetch all the process information from the server and display it on the android device. The user can perform various operations using the Android device, the user/admin can perform various actions on the computers connected in a LAN network.

Keywords: Android application, LAN supervising, Wi-Fi Network, Tomcat Apache, mobile, Servlet.

Abstract: Sense Amplifier are one of the most crucial circuits in the field of CMOS memories. Memory access time and overall memory power dissipation both are resultant by their performances. The existing Current Mode Sense Amplifier has ability to quickly to amplify a small differential signal Bit Lines (BLs) and Data Lines (DLs) to the full CMOS logic level without requiring a large input voltage swing. Here Analysis and Comparison done using 45nm CMOS technology shows Sensing Speed, Reliability, Power Consumption can be improved to a considerable extent. Power dissipation is improved.

Keywords: Current Controlled SA, Cache Memory, Low Power, Sense Amplifier.

Abstract: In our daily life, gesture plays most important role and in order to convey data and motions of human being. The process of main aim is Hand gesture recognition can be seen as a way for computers to begin understand human body language , thus building a richer bridge between machines and humans. Current focuses in the field is recognition the hand in whole object and which can be used as a command by user. Many approaches have been made using cameras and computer vision algorithms to interpret sign language . This paper presents a some works on 3D hand gestures motion without using sensors. We first review the how to recognize the hand gesture by using HAAR features . Then, we review the research for 3d hand gesture recognition.

Keywords: Hand detection, hand identification ,motion detection, input image, training data base.

Abstract: The dedicated short range communication (DSRC) is an important technique to push the intelligent transportation system (ITS) into our daily life. The transmitted signal is anticipated to have zero mean for vigor issue and this is also referred as dc-balance. The FM0 and Manchester codes are used to reach the dc-balance in DSRC. The FM0 encoder and Manchester encoder structures are different, so that limited to reuse the VLSI architecture for generating both the codes. In this work, the similarity oriented logic simplification (SOLS) scheme is used to conquer this limitation. The hardware utilization rate (HUR) of FM0 and Manchester encoders are raised from 57.14% to 100% with SOLS technique. The SOLS technique based FM0 and Manchester encoder structure has better performance compared with existing structure.

Keywords: The dedicated short range communication, Manchester, FM0, VLSI Design.

Abstract: Agricultural intelligence is a specific and emerging field of intelligence dedicated to an enhanced understanding of cultivation, productivity of crop, and minimized risk associated agriculture. Crop prediction is an important agricultural problem. To address this problem, crop prediction technique is used. It is the one of the most commonly used intelligent technique based on Data Mining (DM) concepts to predict the crop yield for maximizing the crop productivity. This paper studies and records the various data mining techniques available in the literature for better crop productivity.

Keywords: Data mining, Crop prediction, k-means, k-nearest neibour, Fuzzy sets, Regression, Classification, Neural network Association Rule.

Abstract: Mobile Ad Hoc Network (MANET) is a collection of communication devices or nodes that wish to communicate without any fixed infrastructure and pre-determined organization of available links. The nodes in MANET themselves are responsible for dynamically discovering other nodes to communicate. Although the ongoing trend is to adopt ad hoc networks for commercial uses due to their certain unique properties, the main challenge is the vulnerability to security attacks. A number of challenges like open peer-to-peer network architecture, stringent resource constraints, shared wireless medium, dynamic network topology etc. are posed in MANET. As MANET is quickly spreading for the property of its capability in forming temporary network without the aid of any established infrastructure or centralized administration, security challenges has become a primary concern to provide secure communication. In this thesis, we identify the existent security threats an ad hoc network faces. To accomplish our goal, we have done literature survey in gathering information related to various types of attacks and solutions. In our study, we have found that necessity of secure routing protocol is still a burning question. There is no general algorithm that suits well against the most commonly known attacks such as wormhole, rushing attack etc. However, in short, we can say that the complete security solution requires the prevention, detection and reaction mechanisms applied in MANET.

Keywords: MANET, Security Aspects, watchdog, IDS, Clusters, Agents, PathRater.

Abstract: Cloud storage system empowers storing of data in cloud server effectually and allows the user to work with the data without any trouble of the resources. In existing system, mainly data damage occurred due to attacks by unauthorized user, attacker or hacker. High security technique is required in cloud to protect user�s data from unwanted resources and unauthorized user. In the proposed system, for improving optimal performance and security some key techniques are wont such as Encryption Replication Fragmentation and Geo-Parameter. Fragmentation is used for divide the file into multiple slices. Fragmented slices are used as input for Replication to replicate these slices. Replication will improve availability of proposed system. Geo-Parameter is impressive way for file transaction in system as it provides security parameter like Time, Date, and Location. In propose system Division and Replication of Data in the Cloud for Optimal Performance and Security that collectively approaches the security and performance issues. In this methodology, we divide a file into fragments, and replicate the fragmented data over the cloud nodes. Each of the nodes stores only a single fragment of a particular data file that ensures that even in case of a successful attack, no meaningful information is revealed to the attacker. Moreover, the nodes storing the fragments are separated with certain distance by means of graph T-coloring to prohibit an attacker of guessing the locations of the fragments. Furthermore, the proposed methodology does not rely on the traditional cryptographic techniques for the data security; thereby relieving the system of computationally expensive methodologies.

Keywords: Fragmentation, Replication, Cloud Security, Data Integrity, Location Privacy.

Abstract: About 8% of men and 0.5% women in world are affected by the Colour Vision Deficiency. As per the statistics, there are nearly 200 million colour blind people in the world. Color vision deficient people are liable to missing some information that is taken by color. People with complete color blindness can only view things in white, gray and black. Insufficiency of color acuity creates many problems for the color blind people, from daily actions to education. Color vision deficiency, is a condition in which the affected individual cannot differentiate between colors as well as individuals without CVD. Colour vision deficiency, predominantly caused by hereditary reasons, while, in some rare cases, is believed to be acquired by neurological injuries. A colour vision deficient will miss out certain critical information present in the image or video. But with the aid of Image processing, many methods have been developed that can modify the image and thus making it suitable for viewing by the person suffering from CVD. Color adaptation tools modify the colors used in an image to improve the discrimination of colors for individuals with CVD. This paper enlightens some previous research studies in this field and follows the advancement that has occurred over the time. It also approaches different methods of modifying and adjusting images so that the persons suffering from dichromacy are able to better perceive image detail and color dynamics. This paper includes three algorithms; they are LMS daltonization, color contrast enhancement, and LAB color adjustment. Two separate technique are also used for evaluation of the effectiveness of these techniques. First; the simulation of deuteranopia is done on both the original and processed images to observe the algorithm�s effects from the perspective of a color blind viewer. Second; delta E image is obtained between the two images in order to assess the extent to which the image changes from the perspective of a non-color blind viewer and also, the Elapsed time is calculated for the algorithms. A brief comparison is also done between Color contrast enhancement, LAB color adjustment and LMS daltonization.

Keywords: Deuteranopia, Dichromacy, CVD, LMS Daltonization, RGB Color Constrasting, LAB Color Correction, Elapsed time.

Abstract: The primary objects of the present project to provide a novel means for safely detecting any malfunction of a pressurized Radiation system in order to prevent accumulation of combustible radiation so that damage or explosion due to such an accumulation of Radiation is prevented. Another object of the present invention is to provide a novel safety means for detecting the Radiation of rays into the area of an appliance when the appliance is in a shutdown condition and not in operation. The main objective of VRM is Vehicle radiation monitor (VRM) is a wall mountable unit which measures the Gamma field at the detector (Plastic-Scintillator). The Vehicle Radiation Monitor is intended to measure the radioactivity that may be present in the vehicles entering /leaving the nuclear installation. An Alarm is to be generated when the detected activity is higher than a set permissible value.

Keywords: Gama radiation; Plastic Scintillator; AluminiumIP-67 protection; Vehicle Radiation Monitor (VRM); Signal Processing Unit (SPU); Remote Display & Alarm indication Panel (RDAP).

Abstract: Multiplexer can be designed using Adiabatic array logic, CMOS logic, pass transistor logic. This paper describes a multiplexer using adiabatic logic. The Adiabatic logic are low power circuits which are reversible logic to conserve energy, it brings about a great deal of power minimization in digital circuits. The proposed circuits show lesser power dissipation then the conventional static CMOS logic style. All the designs were simulated using Tanner EDA tool v15.0. Simulations were done at 90nm technologies.

Keywords: Adiabatic logic, power dissipation, power saving, Tanner EDA tool v15.0.

Abstract: The vision of whole cities covered with dynamic networks of �talking cars� is gradually becoming a reality. The network thus formed is Vehicular Ad hoc Networks (VANETs). Vehicular Ad Hoc Networks (VANET) has become cynosure in the current decade. In the modern era the invention of smart vehicles have made VANET utmost important application to be implemented. But every boon has a curse hidden in it so is the case with the VANET. As VANET is an emerging research area so are its security issues. There are various attacks that can occur on VANET but the most vital is the Sybil Attack. In Sybil attack the attacking node creates multiple forge identities in order to gain a disproportionately large influence. This survey paper briefly presents various Sybil attack detection mechanism in VANET.

Keywords: VANET, MANET, Sybil Attack, Genetic Algorithm.

Abstract: This paper discusses a comparative study of combinational circuits with different logic style of designing. Logic style affects the switching capacitance, transition activity, power, delay. Various logic styles have been compared and taking AND, OR, XOR and FA as reference circuit. Different logic styles are compared with respect to transistor count, power dissipation and delay in 250nm technology. It is observed that less power is consumed in the m-GDI than the other logic styles.

Keywords: Complementary CMOS, GDI, M-GDI technique, low power, high speed, transistor count.

Abstract: Watermarking is hiding digital information in a carrier signal. Digital Watermark verifies the Authenticity or Integrity of the Carrier Signals or shows Identity of its owners. Watermark works as Tag or Ownership Identifier. Basically watermark is a secondary image that is imposed on the original image for protecting that image. Today in the emerging world of internet digital watermarking is becoming very important. Digital watermarking is used in various applications like-copyright protection, tamper detection, broadcast monitoring, authentication, integrity, and verification. Image processing use voluminous methods for digital watermarking. This following paper is a survey of various watermarking techniques and presents a brief introduction to these methods used for watermarking.

Keywords: Digital watermarking, Spatial Domain Techniques, Frequency Domain Techniques, Least significant Bit, SSM Modulation, Discrete Cosine Transform, Discrete Wavelet Transformation, Discrete fourier Transform .

Abstract: Database helps us to collect, retrieve, organise and manage the data. The database used in the project is used to associate user�s personal documents together and keep it available for the user anytime he requires. The requirement of the project were to have a unique identity. To satisfy the requirement Adhar Card was used. This is used because there is only one card per person. The database is going to record all sensitive information of the user, so there is a need to provide security to it. This is done using encryption. Various algorithms were studied in the paper, the one suitable out of them was ETSFS (Extended Transpose Substitute Folding Shifting). NoSQL is chosen because it satisfies the need of storing images as well as text efficiently, compared to SQL database. There has been a study as to where all an encryption process should take place. The encryption/decryption here is provided on the Client Application end. This project should provide a unique identity for the database which is secured using encryption. This will help the user to keep the personal information online and not carry it around everywhere physically.

Keywords: NoSQL database, ETSFS algorithm, Application side Encryption.

Abstract: Conventionally, student record keeping is done manually by teachers through roll calling or by passing an attendance sheet in the class. These methods are time consuming, prone to errors and proxy attendance. Moreover, digital assimilation of records is tedious since teachers need to fill in the details in the database by themselves to generate reports. Consistency in manual and digital records also needs to be maintained. In the recent years, automated systems that have evolved use standard biometrics like fingerprint and iris recognition. These systems are intrusive in nature and require expensive gadgetry. Also deploying them on a large scale is detrimental to the project budget. Thus our project design makes use of facial detection and recognition algorithms like Viola Jones and PCA to identify the student and mark their attendance using a dynamic web camera. As the student stands in from of the system detects the face and compares it to the student image database for recognition phase. Daily attendance automatically gets updated in the database thereafter. This system solves the problem of redundancy in manual records and makes attendance keeping a convenient task.[8]

Keywords: Automated Attendance System, Face Detection, Face Recognition, PCA (Principal Component Analysis), Viola Jones, Camera, OpenCV.

Abstract: Robust, accurate and automatic registration of image is complex task in various applications. To achieve image alignment/registration, required steps are: detection of features, Feature matching, source of transformation function. Extraction of different consistent features from image is very useful and that may be used to gain reliable matching between various views of a scene or object. In addition of deciding where and to what range a feature occur in an image, there is a distinctive body of research to decide how to represent the neighbourhood of pixels near a localized region, called feature descriptor. The easiest technique is scaled for the size of the region, use of pixel intensity values, or representation of eigen space. This survey contains various descriptors like SIFT( Scale-invariant feature transformation), SURF( Speeded up robust features), HOG( histogram of gradient), MSER.

Keywords: Key point, SIFT, Feature description, Feature extraction.

Abstract: Cloud storage in simple terms is nothing but storing data on-line in cloud that can be accessed from multiple and connected resources. Using cloud to store the data is a very practical thought as we can share our information in trustworthy domain, with great efficiency, Besides that it provides some other functionalities in terms of disaster recovery, smart accessibility etc. New public�key cryptography is presented that came out to be Key aggregate cryptosystem (KAC), in which constant size ciphertexts are produced in order to make the task of rendering the decryption rights feasible for produced mass of ciphertexts. KAC comprises the thought of integrating different keys generated for different sets of ciphertext which yields a single aggregate key accommodating power of all the keys. After which a single key can be released to someone in trusted domain through a secure channel and using this key one can decrypt set of allowed files only, others remaining unaddressed.

Keywords: Cloud storage, Data sharing, Ciphertext, Key-aggregate, Encryption.

Abstract: Cloud data storage is the main important feature in present dynamic software cloud applications. Thus, enabling public audit ability for cloud storage is of critical importance so that users can resort to a third party auditor (TPA) to check the integrity of outsourced data and be worry-free. To securely introduce an effective TPA, the auditing process should bring in no new vulnerabilities towards user data privacy, and introduce no additional online burden to user. The TPA to perform audits for multiple users simultaneously and efficiently. Extensive security and performance analysis show the proposed schemes are provably secure and highly efficient. We propose in this paper a flexible distributed storage integrity auditing mechanism, utilizing the homomorphic token and distributed erasure-coded data. The proposed design allows users to audit the cloud storage with very lightweight communication and computation cost. The auditing result not only ensures strong cloud storage correctness guarantee, but also simultaneously achieves fast data error localization, i.e., the identification of misbehaving server. Considering the cloud data are dynamic in nature, the proposed design further supports secure and efficient dynamic operations on outsourced data, including block modification, deletion, and append. Analysis shows the proposed scheme is highly efficient and resilient against Byzantine failure, malicious data modification attack, and even server colluding attacks.

Keywords: Data integrity, dependable distributed storage, error localization, data dynamics, cryptographic protocols, cloud computing.

Abstract: According to the world health organization there should be a minimum ratio between doctors and patients which is one as to one thousand respectively. In India this ratio is one as to one thousand and seven hundred so there are seven hundred citizens in India who do not get a proper medication. Union health ministry of India claims that India would need four lakh more doctors up to 2020. To fill up this deficiency I proposed a prototype which will detect the disease and prescribe a proper medication for that particular detected disease. Medical professionals detect most of diseases on the basis of symptoms and signs of that disease. So collecting the symptoms of various diseases from an experienced doctor we can easily detect the disease. We cannot use only one method foe detection. To pinpoint the exact disease which is acquired by the patient we have to use multiple methods.

Keywords: ANN, Feature extraction, Image processing, LPC2148.

Abstract: Blood pressure and the oxygen related problem has become more critical. So we are implementing an automated oxygen and blood pressure sensing system. The blood pressure sensing system will give the diastolic and systolic pressure reading on the display. In the oxygen sensing system the concentration of oxygen is evaluated in both breath in and breath out air in non-invasive manner in which the luminescence is generated by the oxygen sensitive luminophore. It directly depends on the concentration of the surrounding oxygen. The output of the two systems is received on the smart phone via Bluetooth. The system can prove to be quite handy for the doctor as it will help in minimizing their work. This is a wearable and an easy device. It is a combination of software and hardware. This android app is developed for the data visualisation. It is useful in the diseases like Asthma, Hypoxia, Brain hypoxia hyper tension etc.

Keywords: Blood pressure, Oxygen, Android App, Blood pressure sensor, Oxygen sensor, Bluetooth, Asthma, Hypertension, Brain Hypoxia etc.

Abstract: Consistent or periodical heart rhythm disorders may result cardiac arrhythmias. presence of recurring arrhythmic events (also known as cardiac dysrhythmia or irregular heartbeats), as well as erroneous beat detection due to low signal quality, significantly affects estimation of both time and frequency domain indices of heart rate variability (HRV). A reliable, real-time classification and correction of ECG-derived heartbeats is a necessary prerequisite for an accurate online monitoring of HRV and cardiovascular control. In this, Heart Rate Variability (HRV) signals are analyzed and various features including time domain, frequency domain and nonlinear parameters are extracted. The additional nonlinear features are extracted from electrocardiogram (ECG) signals. These features are helpful in classifying cardiac Arrhythmias. In this, we are going to use genetic programming which is applied to classify heart Arrhythmias using both HRV and ECG features. Genetic programming selects effective features, and then finds the most suitable trees to distinguish between different types of Arrhythmia. By considering the variety of extracted parameters from ECG and HRV signals, genetic programming can be used precisely to differentiate various arrhythmias. The performance of used algorithm is evaluated on MIT�BIH Database. Here we are going to see seven different types of arrhythmia classes which includes normal beat, left bundle branch block beat, right bundle branch beat, premature ventricular contraction, fusion of ventricular and normal beat, atrial premature contraction and paced beat are classified with an accuracy of 98.75%, 98.93% , 99.10%, 99.46%, 99.82%, 99.46% and 99.82% respectively In this paper, we are going to classify arrhythmias by using genetic algorithm.

Keywords: Arrhythmia, Electrocardiogram (ECG), Heart Rate Variability (HRV), Genetic Programming (GP), Feature Selection.

Abstract: Water pollution is one of the key threats which affect the life of citizens residing in a country as well as plants and organisms living inside water bodies. As we know water covers 70 percent of the earth�s surface it is our responsibility to keep water clean. The main cause of water pollution is due to disposal of industrial waste into the river. The same water is utilized by citizens of that area. Since it is polluted it causes adverse effect on a citizen�s life. So polluted water needs to be detected. The parameters involved in the water pollution detection like pH value and turbidity are measured in real time with the help of sensors. pH is an important parameter to determine the nature of water , whereas turbidity is also an equally important parameter since it causes adverse effects on aquatic ecosystems. Here we propose a water pollution detection system by taking into consideration various aspects like cost, easy setup and easy handling. In this paper we propose design and implementation of water pollution detection system using pH and turbidity sensors.

Keywords: Water pollution, pH, turbidity, sensors, ecosystems.

Abstract: About 33,000 people die because the ambulance cannot reach them in time. It is not necessary that when you call an ambulance, the nearest ambulance will reach you. The paper describe a model to track the nearest free ambulance in the area using global positioning system and bring it to the person in distress. The GPS device continuously move with the ambulance and will calculate the the co-ordinate of each position and can be obtained whenever required by the server. Hence it can track the nearest ambulance and bring it to the person in distress.

Keywords: GPS, ambulance, mobile application, tracking.

Abstract: This paper discuss design and implementation wireless sensor network system is used for tow purposes , power management system and protection system. The power management system (PMS) is very important factor to manage and control the electrical power, This system consider important tools to safe the power consumption then due to this system can reduce the power consumption to minimum point, and also its charge of coordinate between power consumption capacity and power production capacity to avoid switch off the street lighting and emergency places such as hospitals. And automatic switch on and switch off the consumers diesel generators, by using successful management power can get to stable and efficient distribution power system. And in this paper discuss how can provide protection to remote terminal units (pole power transformers) and safe the money. The powerful devices that use in this system is ZigBee and microcontroller.

Keywords: WSN , Zigbee , Microcontroller , CT , VT , PMS.

Abstract: Cloud Computing has dominated the current era. Ithas been associated with varied areas and has grown tremendously. Resource sharing and effective utilisation of resources is the key to its success. In its journey, cloud has faced several challenges and has overcome many. Load balancing is one such challenge still faced by cloud.The work here depicts methods to achieve load balancing. The objective of this paper is to highlight the role of Hadoop and MapReduce to attain load balancing. The partition strategy is used to achieve load balancing. Hadoop, a Java based open source frame work is capable of storing and processing large data. MapReduce programming model is used to obtain parallel processing.

Keywords: Load Balancing, Partitioning, Hadoop, MapReduce, Scheduling.

Abstract: Diabetes is a growing epidemic and non communicable disease that affects a major portion of the population in the developing countries. Prevention and overall clinical management of patients with elevated risk of developing diabetes mellitus can be aided greatly by early detection of risk of getting diabetes among patients. This is done by using Association Rule Mining of the data present in the medical records of patients. Association rule is used to discover sets of risk factors for patients at particularly high risk of developing diabetes, which are called item sets of all the interacting conditions. Association rule mining generates a very large set of rules which needs to be summarized for easy clinical use. A comparative evaluation is performed to provide guidance regarding their applicability, strengths and weaknesses.

Keywords: diabetes mellitus, association rule mining, apriori algorithm, discretization.

Abstract: Data mining can be viewed as a result of the natural evolution of information technology. Data mining is the process of discovering interesting patterns and knowledge from large amounts of data. The data sources can include databases, data warehouses, the Web, other information repositories, or data that are streamed into the system dynamically. Data mining brings a set of tools and techniques that can be applied to processed medical data to discover hidden patterns that provide healthcare professionals an additional source of knowledge for making decisions. This survey analyzed different papers in which one or more machine learning algorithms of data mining used for the prediction of heart disease. Applying data mining techniques in medical field especially in heart disease treatment can give reliable performance.

Keywords: Data mining, Medical Data Mining, Data mining tools, Heart Disease prediction, Data mining techniques.

Abstract: Because of increasing complexity in the power system, voltage sag is getting to be a standout amongst the most critical power quality issues. Voltage sag is a short decrease voltage from nominal voltage, happens in a brief timeframe. On the off chance that the voltage sags surpass a few cycles, and then manufacturing systems making utilization of delicate electronic types of equipments are prone to be influenced prompting real issues. It at last prompts wastage of assets (both material and human) and in addition money related misfortunes. This is conceivable just by guaranteeing that continuous stream of power is kept up at legitimate voltage levels. This project tends take a solution at the using so as to take care of the sag issues custom power gadgets, for example, Distribution Static compensator (D-STATCOM).Proposed plan takes after another calculation to create reference voltage for a distributed static compensator (DSTATCOM) working in voltage-control mode. The proposed plan guarantees that unity power factor (UPF) is accomplished at the heap terminal amid ostensible operation, which is unrealistic in the conventional technique. Likewise, the compensator infuses lower streams in this manner, diminishes misfortunes in the feeder and voltage-source inverter. Further, a sparing in the rating of DSTATCOM is accomplished which expands its ability to alleviate voltage sag. About UPF is kept up, while directing voltage at the heap terminal, amid burden change. The state-space model of DSTATCOM is joined with the miscreant prescient controller for quick load voltage regulation amid voltage unsettling influences. With these elements, this plan permits DSTATCOM to handle power-quality issues by giving power factor redress, consonant end, load adjusting, and voltage regulation in light of the heap necessity. The performance of the proposed system can be improved by adding Dynamic Voltage Restorer(DVR).

Keywords: DSTATCOM, Dynamic Voltage Restorer(DVR), Voltage Source Converter (VSC).

Abstract: In this paper, a Character Recognition system is designed using Multilayer Feed forward Artificial Neural Networks. For the training of neural network Backpropagation Learning algorithm is preferred. Input is typed English alphabets with a space between the individual characters, which are input to the segmentation algorithm and then fed as input to the neural network. A neural network is trained onto the dataset containing 6 different samples for each 26 alphabets for recognition. We set the size of our training images as 40x40 gray scale image. From such training images we create image profile. Each element of the profile vector is connected with one input to the neural network. An implicit approach for character recognition is implemented in this paper for its recognition, which improves the accuracy significantly.

Keywords: Character recognition, ANN, Segmentation, Recognition.

Abstract: We are living in a world where there is a danger every fraction of second. With the world becoming a global village, we live in an e-society where everyone is vulnerable to numerous possible cyber attacks. But there is also a way to pay hide to such unforeseen situations. Cryptography is one field which was developed with a sole aim to secure every entity. There are various types of techniques and algorithms available. This paper is aimed at explaining DES in an innovative way. DES algorithm or symmetric block cipher consists of 16rounds. There are various other algorithms which are based on DES�s Fiestel structure. Hence, there is always a need to explain the actual working of DES. Therefore, through his papers the authors have tried to solve round 1 of DES, thereby explaining in detail how the round 1 key and cipher text is obtained with the help of an example and various tables. This paper will help not only in understanding the DES algorithm, but also the various other following algorithms. Also the cyber attacks and their corresponding counter measures can be understood more clearly if the working of DES is clear.

Keywords: Cryptography, Fiestel structure, Block cipher, permutation, substitution, left circular shift.

Abstract: Penetration Testing is one tool of cyber security which is very common. This is a type of testing where in any organization attacks itself to know its own vulnerabilities. But this attack is stopped when any vulnerability or security loophole is encountered. Generally to have such a penetration testing or pen test a team of penetration testers or pen testers are hired. This testing is also bounded through various legal agreements as it deals with any organization�s confidentiality and privacy. Thus, this paper is aimed at studying penetration testing from various topics thereby explaining the major types of penetration testing. There is a line of difference between hacking and penetration testing. This paper will also explain that demarcation.

Keywords: Penetration testing, vulnerability, intrusion, router, firewall, pentest.

Abstract: The Sixth Sense is a wearable gestural interface that augments the physical world with digital information and lets us use natural hand gestures to interact with that information. The Sixth Sense technology bridges the gap between the physical world and the world of data. This paper provides a simple yet analytical approach towards the sixth sense technology which was originally introduced at MIT Media Lab by Steve Mann in 1994 and 1997 (head worn gestural interface), and 1998 (neck worn version), and further developed by Pranav Mistry (also at MIT Media Lab) by the name of a gadget called �WUW� (Wear yoUr World), in 2009.

Keywords: Sixth Sense, gestural interface, MIT, augment.

Abstract: The usage of low-cost and high-resolution digital cameras and sophisticated photo editing software, digital images can be easily manipulated and altered. This project Image Forgery Localization using Fine-Grained Analysis of CFA Artifacts, a forensic tool, which able to discriminate between original and forged regions in an image captured by a digital camera. Most digital cameras employ a single sensor in conjunction with a color filter array (CFA). The assumption that the image is acquired using a Color Filter Array, and that tampering removes the artifacts due to the demosaicking algorithm. Then interpolate the missing color samples to obtain a three channel color image. This interpolation introduces specific correlations which are likely to be destroyed during tampering. This method is based on a new feature measuring the presence of demosaicking artifacts at a local level and on a new statistical model allowing deriving the tampering probability of each 2X2 image block without requiring a priori knowledge about the position of the forged region. Proposed method reduces error lavel to 19% and gives the Structural similarity of 98%.

Keywords: CFA artifacts, demosaicking, probability map, image tampering detection.

Abstract: In medical diagnosis systems, classification of blood cell is most important to evaluate and diagnosis the disease. The diseases that are related to blood can be classified only after the classification of blood cell. Leukemia is a blood cancer that begins with bone marrow. It should be treated at earlier stage, and leads to death if left untreated. This paper describes a study of detecting leukemia from blood microscopic image using different image processing algorithms.

Keywords: Leukemia, blood cell, classification, image processing algorithms, Detection.

Abstract: LTE is a latest cellular system, it is standardized by 3rd Generation partnership project (3GPP), and it is employed to satisfy increasing customer demand for high speed services also to fulfil demand for user experience with full mobility. With the ever growing demand of data applications, traditional cellular networks face the challenges of providing enhanced system capacity, extended cell coverage, and improved minimum throughput in a cost-effective manner. Wireless relay stations, especially when operating in a half duplex operation; make it possible without incurring high site acquisition. Design of wireless relay stations faces the many challenges of providing backward compatibility, minimizing complexity, and maximizing efficiency. In this review paper we provide an overview of relaying mechanism in LTE-Advanced and WiMAX and than explain relaying handover mechanism over LTE-Advanced and WiMAX.

Keywords: E-UTRAN, LTE, UMTS, WiMAX.

Abstract: Image compression is one of the main task in saving storage requirements and conserving transmission bandwidth. In this paper, a image compression based on uniform thresholding and fixed point binary scaling is proposed to reduce the computational complexity for compressing satellite Images. The variable bit rate is obtained using fixed point binary scaling and adjusting slope factor. Some images from LANDSAT 8 are compressed and the image quality metrics bits per pixel(bpp), peak signal to noise ratio(PSNR) and computational time are used for comparison. The proposed method from medium to high bitrates performs better than the discrete cosine transform(DCT) based method in terms of PSNR and computational time.

Keywords: bpp, PSNR, fixed Point, Computational time.

Abstract: This paper describes the design of a simple low cost microcontroller based real time monitoring and control of multi sensor using gsm techniques in embedded system. GSM modem using AT comments for sending and receiving message. The LM35 is an integrated circuit sensor that can be used to measure temperature with electrical output proportional to the temperature. The temperature sensor, Gas sensor and vibration sensor are connected to PIC 16F877A microcontroller. The sensors output are send message to concern person through serial communication and displayed in LCD. The GSM modem performs the operation of sending message to a particular SIM number.GSM technology provides users with high quality signal and giving them access to high quality digital communication at very affordable rates. GSM network operators can provide their customers with cheaper calling and text messing options.

Keywords: PIC Micro Controller1, Temperature sensor2, Vibration sensor3, Gas sensor4, GSM modem5.

Abstract: From many years, people were concerned about the secure transmission of data. Among the various cryptography techniques, the Adi Shamir's secret sharing scheme based on La-grange's polynomial is considered as the most secured one. But, it faces the man in middle attack in which an adversary can retrieve the secret even without any valid share. To over-come this drawback, the token generation mechanism is proposed in which each valid share is binded with the public information of all the nodes. The proposed system consists of Adi Shamir's secret sharing scheme based on Lagrange's polynomial along with the concept of Token Generation. Token Generation mechanism involves binding of shares with their respective shareholders. Due to this the intruder will not be able to retrieve the secret if he does not have a valid share. Thus, one can conclude that the proposed system provides better security than the traditional one.

Keywords: Security, secret sharing scheme, public information, token.

Abstract: A method for the design of non recursive digital low pass FIR filter is proposed using GA. The main focus of the paper is to describe the developed and dynamic method of designing finite impulse response filter with automatic rapid and less error by an efficient genetic approach. GA is a powerful global optimization algorithm introduced in combinational optimization problems. Here, FIR filter is designed using Genetic approach by an efficient Genetic Algorithm (GA) coding scheme. The response is studied and implemented by keeping values of fixed order, crossover probability and mutation probability. GA offers a quick, simple and automatic method of designing low pass FIR filters that are very close to optimum in terms of magnitude response, frequency response and in terms of phase.

Keywords: Genetic Algorithm, FIR Filter, Optimization, DSP.

Abstract: Blood is a saver of all existing lives in case of emergency needs. The task of blood bank is to receive blood from various donors, to monitor the blood groups database and to send the required blood during the need to the hospital in case of emergencies. The problem is not insufficient number of donors, but finding a willing donor at the right time. We want to build a network of people who can help each other during an emergency. This application timely updates the information regarding the donors where the administrator accesses the whole information about blood bank management system. Donor will be prompted to enter an individual's details, like name, phone number, and blood group. In the urgent time of a blood requirement, you can quickly check for blood banks or hospitals matching a particular or related blood group and reach out to them through the App. Blood bank App provides list of blood banks in your area. A large number of blood donors are attracted using an Android application. Since almost everyone carries a mobile phone with him, it ensures instant location tracking and communication. Only a registered person, with willingness to donate blood, will be able to access the service. In this application we are using the GPS technology that will be used to trace the way to the blood bank. The user will get the route to reach the desired location and he won't have to ask manually, therefore time can be saved.

Keywords: Blood bank, Android, Blood transfusion, Database, Donors, Acceptors, Administrator, Geographic information System.

Abstract: Biometrics is the science and technology of measuring and analysing biological data. The standard method used for personal authentication is password, which is known to a user only. There is no security in the use of password if it is known to an imposter. Hence to overcome these problem passwords replaced with biometric authentication. Biometrics is the most secure and convenient authentication tool till today. Commonly used biometric is fingerprints, iris, retina, face, hand geometry, palm, etc. Identity verification in computer systems has been classically based on something what you are or what you already have. The guideline to be considered for user authentication system is recognition of the authorized user and rejection of the imposter. The aim of the biometrics is to decide whether the characteristics belong to the same person or not. So a better classifier is necessary to classify the patterns correctly. The survey presents various biometric techniques based on neural network.

Keywords: Neural network, authentication system, biometric & key authentication.

Abstract: Antennas are a fundamental component of modern communications systems. It forms the interface between the free space and the transmitter or receiver. The transmission line (cable) is terminated by antenna that does not match the characteristic impedance of the transmission line, not all of the power is absorbed by the termination. Part of the power is reflected back to the transmission line. The forward (or incident) signal mixes with the reverse (or reflected) signal to cause a voltage standing wave pattern on the transmission line. The voltage standing wave ratio (VSWR) can also be represented by Return Loss, Mismatch Loss and Reflection Coefficient. This paper represents the details VSWR, impedance and power loss of Log Periodic Dipole Array (LPDA) of frequency range of 160MHz to 1900MHz with 24 elements. Using antenna trainer kit (Transmitter, Receiver) frequency range up to 1300MHz, LPDA impedance variation is about 50 � 15 O and power loss in % is within 0 to 10 are reported. The VSWR values are within 1 to 2. The results indicate that the constructed LPDA is of good quality to use it for different high frequencies applications.

Keywords: Transmitter, Receiver, LPDA, Impedance matching, VSWR, Power loss.

Abstract: cloud computing is a new paradigm for enterprise that can effective facilitate the execution of tasks.task scheduling is an important issue which is greatly degrade performance of cloud computing environment.cloud service provide and clients have different requirements and objectives in cloud environment resource availability and load on resources is day by day changed time to time .so scheduling resources in cloud is complicated problem.BATS algorithm is proposed for multiple data centers to overcome the time overhead and cost when replacement between two datacenters. after that Compare result with existing algorithms using cloud simulator. Observe the parameter performance.

Keywords: task scheduling; data center;virtual machine;

Abstract: Smart phones are most fascinating technology that everyone uses in today�s life. Mobile phones are bundled with lot of features. Smart phone users are using internet in large volume. These devices using the wireless network consumes huge bandwidth when uploading or downloading data whereas performing the same operations using the desktop computer would be in the acceptable range. The service providers need to cater to the present growing need of bandwidth requirement without investing on new technology and also without negotiating on users expectations in order to survive in the market. Providing such huge bandwidth to each user is a terrible task. Hence, we propose bandwidth optimization algorithm using cache coherence which enables the service provider to cater to the growing needs of bandwidth requirement.

Keywords: Smart phones, Git, Version controlling systems, Mobile Networks.

Abstract: Cognitive Radio (CR) is a self-adaptive wireless technology that can detect available channels automatically in a wireless spectrum and configured dynamically. Spectrum sensing in CR is the fundamental activity to detect unused spectrum holes in an opportunistic manner. In Spectrum sensing, various methods have been proposed and studied exhaustively by the CR researchers. Blind spectrum sensing methods such as an Eigenvalue based Detection (EVD) and Energy Detection (ED) does not require any information of the transmitted signal characteristics, the channel or the noise-power, which are unknown at the receiver. The main aim of this work is to sense the spectrum at very low Signal to Noise Ratio (SNR) under frequently changing wireless environment. A combined blind spectrum sensing is proposed based on an adaptive SNR threshold calculation which achieves better sensing accuracy than the two individual detectors. In this paper spectrum sensing is done for DVB-T signals in the VHF band which has been declared as an operating band for Cognitive users.

Keywords: Cognitive Radio, Eigenvalue based detection, Energy detector, low SNR, Spectrum sensing.

Abstract: In this paper we introduced E-notifier application in which students can view daily timetable through a widget & get important notices send by the server. The widget displays current lectures & by clicking on the widget, one can view entire days timetable. The important notices are displayed on the notification panel as soon as the user is connected to the internet. The basic architecture of this paper depends on two main areas client side & server side. Client: 1. As the user downloads the application he selects his branch & year to proceed.2 .The client side has mobile application that fetches the required time table details of particular branch &it�s correspond year using My SQL.3. The entire client side Application design using Java, android and SQLite. Server:-On the server side, the admin can log in to add new notifications & update timetable that is to be broadcasted. The admin will have the authority to access, add and edit any information on the server. The server side coding is done in PHP language.

Keywords: E-notifier, SQLite, widget, notification panel.

Abstract: In this paper, new method for determining Rigidity temperature applying cooling curve analysis. The determined values of Rigidity temperatures for three AlSi8Cu3 alloys with different contents of Strontium using thermal analysis technique have been compared with Rigidity temperatures obtained using mechanical technique (viscosity measurement). It was established that there is good correlation between measured values of Rigidity temperatures determined using both above mentioned techniques. Thermal analysis is a useful tool for investigating the properties of polymer/clay nanocomposites and mechanisms of improvement of thermal properties. This review work presents examples of applications of differential scanning calorimetry (DSC), modulated temperature differential scanning calorimetry (MT-DSC), dynamic mechanical thermal analysis (DMA), thermal mechanical analysis (TMA), thermogravimeric analysis (TG) and thermoanalytical methods.

Keywords: Polymer, Characterization , Rigidity, Thermal

Abstract: In the past decade, there has been a paradigm shift from traditional network computing environment to cloud computing. The reason is increase in the size of data to be stored, transferred and processed from several Megabytes to Terabytes, Petabytes and Exabytes. This paper describes the role of virtualization as technique for improving resource utilization and energy efficient computing in conventional client server environment as well as in modern cloud computing environments.

Keywords: Cloud Computing, Virtualization, Virtual Machine, Cloud Operating Systems, Service Oriented Architecture.

Abstract: Email, sometimes written as e mail, is simply the reduced form of "electronic mail� a system for receiving, sending, and holding electronic messages. It has gained practically universal acceptance around the world with the spread of the World Wide Web. In many cases, email has become the preferred method for both personal and business communication. Consequently, improve the security provision in necessary to maintain integrity and confidentiality of data. Passwords are by far the most used and the most conveniently subverted method of personal authentication. If a business institutes policies to guarantee secure passwords (such since frequently changed alphanumeric upper/lower case combo of by least 10 characters) the inconvenience is so high that such an plan will probably be broken in an overwhelming amount of instances.

Keywords: Handshaking Protocol, OTP, Captcha, Visual Cryptography.

Abstract: The growing demand of wireless applications has put a lot of constraints on the usage of available radio spectrum which is limited and precious resource. Cognitive radio is a promising technology which provides a novel way to improve utilization efficiency of available electromagnetic spectrum. Reliable spectrum sensing is one of the most crucial aspects for the successful deployment of cognitive radio (CR) technology. Spectrum sensing in CR is challenged by a number of uncertainties, which degrade the sensing performance and in turn require much more time to achieve the targeted sensing efficiency. Cognitive radio technology promises a solution to the problem by allowing unlicensed users, access to the licensed bands opportunistically. A prime component of the cognitive radio technology is spectrum sensing. Many spectrum sensing techniques have been developed to sense the presence or not of a licensed user.

Keywords: Cognitive radio networks, Spectrum sensing, Energy detection, Cyclostationary detection, Matched filter.

Abstract: The design and simulation of a coplanar capacitive fed mirostrip antenna suspended above the ground plane is presented. The proposed antenna is excited by a single probe feed. This antenna operates in two different bands C band having frequency range 4-8 GHz and X band having frequency range 8-12GHz .IE3Dsoftware is used for simulation. It is demonstrated that the proposed antenna can be used for wideband applications with impedance bandwidth of 53.74% at center frequency 7.015 GHz with good gain in microwave bands. Capacitive coupling is used to improve the results. Polyolefin is used as a dielectric material having dielectric constant 2.3.2.

Keywords: Microstrip antennas, Capacitive fed, Wideband, Absolute gain, Efficiency.

Abstract: Ration Card is one of the important documents for every Indian family. Every family is given facility by government to receive food grains against a card. But there is lot of corruption involved in TPDS such as black marketing of the subsidized food grains as many families do not claim their quota of food grains and many families claim the quota of other families. As a solution to above problems this paper proposes a system which is highly scalable Ration Distribution System based on embedded system. The main target of this project was to bring transparency between government and customer, and this transparency is provided by webpage. Here the conventional paper ration book is replaced with RFID based smart card. When any transaction is done by customer he/she will receive a message on his mobile through GSM technology.

Keywords: Raspberry-pi, RFID module, GSM technology, RFID smart card, Embedded Web Server, GUI Screen

Abstract: Human�computer interaction (HCI) researches the design and use of computer technology, focusing particularly on the interfaces between people (users) and computers. HCI is one of the ongoing researches especially for visually impaired people. They introduce the special thematic session �blind and visually impaired people Human computer interaction and access to graphics� represents current research towards solutions for visually impaired and brings together researchers and practitioners. Choosing clothes with complex patterns and colors is a challenging task for visually impaired people. We have matured a camera-based model system that notice clothing patterns in four categories (plaid, striped, pattern less, vertical and irregular etc) and identifies 11 clothing colors. To recognize clothing patterns, we propose a Hough line Transformation for the detection of pattern and canny detection for detection of edges in the clothing pattern. we proposed the CCNY Clothing Pattern dataset and other different pattern datasets to our method. Using various other performances our method is under the study.

Keywords: Human computer interaction, cloth patterns, visually impaired people.

Abstract: In this paper, a modular adaptive beamforming algorithm has been proposed which is used for smart antenna users tracking purpose in a wide angle environment. It can be used for adaptation of subjective variations in eigen vectors. It can also be used for the autocorrelation matrix which consists of eigen values of the signal vector which is received is mostly useful for the case of moving subscriber situation. Furthermore, it uses one adaptive module which is better than previous works where two adaptive modules have been used and will lead to a high speed twice more than the previous works.

Keywords: adaptive beamforming,smart antenna, non blind algorithms,optimal weight vector.

Abstract: Current business practices use separate systems to perform computations on data sets which may be from various sources; however, individuals or small organizations may lack this ability. The reuse of intermediate results across further computations is an important class of emerging applications. This paper aims to tackle this issue regarding sharing data between different organizations/applications and thereby optimizing their computations. In addition to sharing large amounts of data, we can share the intermediary/preliminary results from the data pipeline to various organizations. Any organization when handling data involves ETL steps for collecting data, pre-processing and then perform computations on it. If another organization wishes to work with the same data set, it has to repeat the collection, pre-processing and computation process. The proposed system can help organizations/end-users by providing intermediate computation results after performing ETL steps and basic processing on our end. These computation results are available for use by other organizations/individuals for further application specific processing using REST APIs or some other way.

Keywords: shared data store, shared computation, big data, sentiment analysis, image tagging, healthcare.

Abstract: For many years peoples were used to send the message using the post office and other media which is not that secure. Passwords are commonly used by people during log in process to access such as computer, ATM, network, etc. Earlier password based authentication strategy are used with assume single server stored all password to authenticate the client during authentication. In earlier system the passwords necessary which is stored in a single server while authenticate client. The attacker can easily hack on single server, contain all data regarding password are easily available to attacker. In proposed system, where a client and a server, who share a password to authenticate each other and meanwhile establish a cryptographic key by share of messages. Propose system two server authentications, where a password is split into two parts, which are securely share on to the two servers during authentication using the PAKE protocol. The Protocol runs in parallel and is more efficient than existing.

Keywords: Security, shared key, password authentication, public key authentication.

Abstract: This paper describes portable Bio-medical kit for monitoring health parameters such as Electrocardiogram signal, Blood Pressure and heart rate of the person. Bio-medical is the area which detects the harmful substances present in human body. From last few years this type of system has gaining more popularity because of its ease of use and accuracy. This paper presents such type of system which consists of wrist type sensor and electrodes for measurement of blood pressure and Electrocardiogram signal. Smart electronic unit is used for signal processing. This unit stores the data in the memory and makes the necessary conversions. Then measured data is transmitted wirelessly to smart phone or pc. We can see the output on Laptop or Pc with the help of MATLAB software.

Keywords: Electrocardiogram, Bio-Medical, Blood Pressure, Heart Rate.

Abstract: Auditing is a process of acting accordingly and self-reliant examination of books , accounts and documents of a certain company or an organization to review and verify the genuineness of records. Auditing is now an event which is mobile or dynamic. Internal control can be defined as a promising process to successfully bring about the objectives in how efficient the operations are done , reliability of financial report and rules , regulations and their policies . It is very important measure taken as it plays a crucial role in detecting and stop from doing the fraud which includes both that is the machinery belongings and the things which are not having any physical presence such as character or status property such as trademarks, computerization has a massive impact on the control of an organization , the document information which is to be circulated and so on. Auditing introduced in the CIS has given rise to various changes in the procedure of collecting the evidence.

Keywords: cis, auditing, internal control, organization, computerized information system.

Abstract: A common problem faced by any of the devices concerning BCI applications (Brain Computer Interface) is that of the Artifacts. The undesired electrical signal interfering with the neurological activities of the brain as a consequence, misinterpreting the actual signal. The artifact may be generated internally or externally. The proposed method aims to reduce some of the predominant artifacts generated through the Electroencephalogram (EEG) such as eye blinks or artifacts generated from other devices such as Electroocculogram (EOG) or Electromyogram (EMG) . It is based on a novel combination of wavelet decomposition, Independent component analysis and thresholding. The factors for identifying the artifacts are estimated which differentiates the clean from affected EEG signal. We also intend to calculate the computational time of our proposed method for an EEG signal of 1s time frame.

Keywords: Brain Computer Interface, Artifacts, Electroencephalogram (EEG), wavelet decomposition, Independent component analysis.

Abstract: A Mobile Ad Hoc Network (MANET) is a collection of mobile nodes that create a dynamic infrastructure-less communication network and an extremely challenging network. The design of robust routing algorithm for ad hoc networks is a big challenge, because network topology changes dynamically. In order to deal with the challenges such as fault tolerance, load balancing, minimizing end-to-end delay multipath routing strategy has been exploited. AOMDV is one of the multipath routing protocols. AOMDV is an extension to the unipath routing protocol i.e. AODV. This paper discusses routing strategies in mobile ad hoc networks, giving stress on multipath routing and compares the two protocols namely AODV (a unipath routing protocol) and AOMDV (a multipath routing protocol).

Keywords: Mobile Ad hoc Networks, Unipath Routing, AODV, Multipath Routing, AOMDV.

Abstract: From many years, people were concerned about the security of social area network. In this social area network people create multiple bogus identities. To overcome this drawback, Sybil Defender mechanism is used along with the two way security technique is use. The proposed system involve sybil identification technique along with the concept of the two way security mechanism .This two way security mechanism divide the password in two server and according to fake clustering , ip differentiation ,ip log technique is use to identify where the user is sybil or genuine user. Due to this we can easily identify the sybil user. Thus we conclude that the proposed system provide better security than the traditional one.

Keywords: sybil attack, Sybil Defender, ip log.

Abstract: In today�s world road accident is the main cause of many deaths. There is no such application developed which can detect the accident and notify it to the driver�s relatives or to the hospital to provide the emergency services. Smart phones are being used for developing such smart applications for smart cities. The smart phone senses the parameters, computes the results and communicates with the server. This paper proposes a system which aims to provide cost effective means of determining the performance of the vehicle and tracking the vehicle by transferring the obtained data to an android device by using a Bluetooth controller. An electronic hardware unit is developed to carry out the transfer of the information between the vehicle�s on board system and the mobile phone which in this case is an android device. The results are then analyzed on the basis of the communicated data and viewed by the user or the owner to monitor the fuel consumption and the other important electromechanical parameters of a vehicle. The alarm alert systems i.e. A Buzzer is used to notify the driver or the admin about the results. This is done by using the interface sensors, grab sensors ADC values and applying the threshold conditions on those values. Alerts are generated if the threshold values are crossed. A message can be sent from an android device to the nearby hospital for providing emergency services in case of severe accidents. The sensors used are the Temperature sensor, Seat Belt detection sensor, Alcohol detection sensor, Fuel level detection sensor, Accident detection sensor, Drowsiness detection sensor (IR).The roads with bumps and pits are indicated to the driver by using an accelerometer present in the android device. The mobile device is capable of transmitting data to the server using cellular internetwork connection-WIFI.

Keywords: Android device, Threshold values, WIFI, Bluetooth, Accelerometer, Sensors, electromechanical parameters, Alarm alerts, Server.

Abstract: In MANET communication plays a vital role in situations like natural calamities etc. It is more vulnerable to security issues since it does have fixed infrastructure. MANET is a collection of mobile nodes that forms a temporary network. One of the security issues is packet dropping. The dropping of packet may be caused due to link failure or malicious node present in the network. The most common attack in MANET is the black-hole attack. Ad-Hoc on demand distance vector (AODV) is prone to packet dropping attack. This paper presents a new protocol implementation named as Secure Geographic Routing (SGR) which deals with packet dropping in network layer. It also detects and prevents packet dropping.

Keywords: MANET, AODV, black hole attack, SGR.

Abstract: Degradation in the captured image quality is a common problem. There are various techniques to enhance the image quality. Some of the techniques used are Contrast Stretching (CS) and Histogram Equalization (HE). These are the basic techniques which don�t provide a significant improvement in enhancing image details. So this arises the need of advancement in these basic algorithms. The papers give a review of the several histogram equalization approaches. The paper also gives a comparative study on the results of implementation of the Adaptive histogram equalization (AHE) and Contrast Limited histogram equalization (CLAHE) and Dynamic histogram equalization (DHE) for gray scale images on FPGA. The proposed system describes Contrast Stretching and Dynamic histogram equalization based algorithms for hardware implementation on FPGA for color images.To validate the algorithms on FPGA, the simulation results are given based on visual analysis of the color input and output image.

Keywords: Histogram Equalization (HE), Dynamic Histogram Equalization (DHE), Adaptive histogram equalization (AHE), Contrast Limited histogram equalization (CLAHE) and Field Programmable Gate Array (FPGA).

Abstract: Haziness is a huge obstacle in the visibility applications, it is very important to remove efficiently. Outdoor scenes and images lose the quality, degrade under the bad weather conditions, and provide the Hazy images. Many researchers have worked on various proposed techniques to enhance the clarity, visibility of the hazy image, mostly worked on saturation and brightness. For an image, the process of haze removal is not a simple task so it plays a vital role in image processing. Due to haziness, an image generally lost color and edges, so dehazing/ haze removal technique restores edge losses and color impacts badly. By using polarization, RETINEX based approach etc. dehazing has been simpler. To enhance the quality of an image (hazy) the various parameters are required for processing to get the superior computer vision applications and haze free images. And contrast enhancement is also important step for more clear applications.

Keywords: dehaze, polarization, edge preservation, dark channel prior, color preserving, contrast enhancement.

Abstract: Augmented Reality is a trending technology which has applications in many areas such as education, entertainment, advertisement, designing, military etc., Due to the advances in Image Processing and Mobile Computing, the application and access of augmented reality is increasing seamlessly. This paper analyses various Interaction techniques being used in the augmented reality on different platforms and discusses their advantages and limitations. It also includes future possibilities that can be expected in Interaction techniques in augmented reality.

Keywords: Augmented reality, Interactive techniques, Dimension gap, Virtual object.

Abstract: In these days if we have any general doubts on solution for any arithmetic, it is our tendency either goggling or refer the books and solving it out. Here is the solution for it. We can just ask our doubts, if it is a general or arithmetic, no problem Mia will talk to you by replying the answer. Mia is an automatic answering machine. You can ask any logically correct questions and the Mia will answer you to that question. It is a smart machine which is working using a smart low cost SBC called Raspberry Pi. Raspberry Pi is an ARM based board. This board make us possible to work out this genius answering machine. The raspberry pi will be connected to internet using Wi-Fi or through Ethernet. We can speak to this machine which will be recording our speech. And based on what we asked to the machine, it will convert it to text and will search in internet and find the result regarding the query. Using a text to speech converter we can make the machine to answer the query back in speech. This makes the project smarter. We may be using sound card, Google API�s, Python, Wolfram Alpha Engine and Shell Scripting for work outing this project.

Keywords: Mia, SBC, ARM, Raspberry Pi, Wolfram.

Abstract: This paper presents a brief review of speaker & language recognition system using Hidden Markov Model (HMM).For accurate personal identification systems the use of biometric is preferred over the security system implemented by password and pin number. Speech recognition was biometric feature of voice of the speaker. Different speaker have different voice characteristics, these different characteristics are achieved by extracting feature vectors as MFCC from speech. The brief history of the hidden Markov Model explain about voice signal and the evolution of the HMM is done in Google Web API & this is implemented using low cost raspberry Pi. With the help of these techniques the performance has increased. The outputs of system are through speaker.

Keywords: Speech recognition (SR), MFCC, Hidden markov model (HMM), and Raspberry pi, Google Web API, Microsoft Web API.

Abstract: In this paper a novel design approach of a probe feed circular microstrip patch antenna with four tuning arms on the radiation element for the dual-frequency operation is proposed. The cavity model is used for the parameter computation of the antenna. The circular antenna resonates at 4 GHz and 5.8 GHz which enables it to operate in standard C band which is used by communication satellites. TM110 is the dominant mode for this proposed antenna. The designed antenna provides 11 % bandwidth at 5.8 GHz (200 MHz) and the S[1 1] value is -42 dB whereas it provides 5.75 % bandwidth at 4 GHz (700 MHz) and the S[1 1] value is -16 dB. The absolute values of VSWR at 4 GHz is reported as 1.06 and at 5.8 Ghz is 0.08. A further modification is done on the proposed patch and a comparison of the designs are reported.

Keywords: Coaxial feed , circular microstrip patch antenna, C band , tuning arms, satellite communication.

Abstract: After years of research and development the accuracy remains one of the most important research challenges .In this paper multimodal biometric system for identify verification using two traits i.e. speech signal and palm, which increase the level of security the multimodal biometric systems, are used. In spite of many research efforts spent in trying to create an intelligent machine that can recognise spoken word and palm image and also it�s meaning. Our aim in this paper is to provide an overview of basic concept, types, and approaches and also presents what research has been done around for dealing with the problem of palm and speech recognition so as to provide a framework to understand the concept of palm and speech recognition.

Keywords: Biometrics, Speech recognition, Techniques of Speech recognition, Palm recognition, Techniques of Palm recognition.

Abstract: An optimization algorithm which optimizes the sequence of firewall rules to reduce packet matching time is presented. It has been observed that some incoming packet can match with more than one rule. Such type of rules called as dependent rules and if their action differs then it is called as conflict. Our main focus in the paper is on dependent rules. This paper proposes an algorithm that is designed for conflict resolution and gives good network performance by reducing the packet matching time of the firewall.The algorithm uses the method of hashing for dividing the rule list into many equal sized sub-rule lists and resolve the conflict by the method of indexing which creates separate list for dependent rules. The performance of the packet matching algorithm which uses log file has improved performance over other alternative algorithm in terms of packet matching time.

Keywords: Dependent rules, firewall, network performance, packet matching, conflict resolution, hashing, indexing, log file.

Abstract: Nowadays use of social networking site like Facebook, Twitter, Google+ for communication and maintaining relationship among various user is increased due to its popularity on network. Each user that uses the social networking sites are making profiles and uploading their private information. These social networks users are not aware of numerous security risk included in this networks like privacy, identity theft and sexual harassment and so on. The third party apps on social sites have main role to make the site more attractive and incredible. The hackers are using these third party apps to get the private information and get unauthorized access to their accounts. As we aware that not most but least of the applications on sites are malicious. As research goes on the research community has focused on detecting malicious wall-posts and campaigns. In this paper, we are going to find that applications are malicious or not? In earlier system, It is important to note that mypagekeeper that is our base data, cannot detect malicious apps; it only detects malicious posts on Facebook. Those malicious apps contain the bunch of malicious posts. In contrast, frappe Lite and frappe are designed to detect malicious apps. Therefore the frappe or frappe Lite that is being developed is more powerful than mypagekeeper to develop frappe, we use information gathered by observing the posting behavior of basic Facebook apps that are running on it. So, first we try to find out the features of malicious apps and other characteristics of malicious apps that are harmful to users.

Keywords: Profiling Apps, Online Social Networks, Facebook Apps, Malicious Apps.

Abstract: The use of Web services for various applications has led to the growth of web services on a large scale. Due to the increase in usage of web services, it has become of prime importance to design systems for effective web service recommendation. In our project, we propose a system for effective web service recommendations incorporating users� preferences regarding quality and diversities amongst web services. Users� requirements are considered and mined from his usage history. Then we find functional similarities using clustering techniques followed by applying a ranking algorithm to list top-k services. To discover high quality Web services, a number of QoS models for Web services and QoS-driven service selection approaches have been proposed in the service computing field. In this system user explicitly specifies his/her interests and QoS requirements, and submits them to the service discovery system. Then the service discovery system matches the user�s interests and QoS requirements with corresponding attributes of Web services, and returns those with the best matching degrees to the user.

Keywords: Web Service Recommendation, ANN, feature evaluation, ranking, top-services.

Abstract: Auditing is the process of examination of books, accounts and documents of an organization to review and verify trueness records. It also gives us a belief that the books of accounts are properly maintained and are used according to law. Internal Controls is a topic that has been implemented by most organisations to better separation of duties, low clerical errors, fraud, etc. The manner of conducting businesses have been changed but not substantially, CIS brings functionalities that revolutionizes the way of reducing work and the work load found in the process of auditing an organization which can have records that cannot be analysed a single personal. In this paper we have defined how we have implemented an application that justifies the points put up earlier.

Keywords: misstatements, books, accounts.

Abstract: The problem concerning the elimination of overflow oscillation in fixed-point state-space digital filter employing saturation arithmetic is considered by various researchers. In this paper a comparative study of the stability of digital filters under saturation arithmetic is done.

Keywords: Digital filters, Finite word length, asymptotic stability, nonlinear system.

Abstract: In this paper, the objective is the digital image analysis of satellite images using clustering technique for identifying Vegetation, Water and Land area segments. The experimentation has been done using Linear Imaging Self Scanning (LISS-III) multispectral images of Dharwad area of Karnataka state in India acquired by IRS satellite. The KNN classifier is used. The experimental results are obtained from band-wise information and validated by using ground truth, which demonstrate the effectiveness of the method.

Keywords: KNN Classifier, LISS multispectral image, Satellite image, IRS Satellite.

Abstract: Vehicular Ad Hoc network (VANETS) uses the principle of mobile Ad Hoc network (MANET). It is an approach for the intelligent transportation system (ITS). It provides communication between vehicles and also between vehicles and roadside base station. A vehicle in VANET is considered to be an intelligent mobile node capable of communicating with its neighbour and other vehicles in the network. In this paper the concept of wireless power transmission is also explained using the inductive coupling. Its future application is charging of the electric vehicles without any direct conductive wire. Using the inductive coupling electrical energy is transmitted between source (i.e. transmitter coil) and electrical load (i.e. receiver coil). This paper provides focus on the various applications of VANET like Horn control, real time traffic update and WPT for charging electric vehicles.

Keywords: Vehicular Ad hoc Network, Intelligent transportation system (ITS), Wireless Power Transfer (WPT), applications, Electrical Vehicle (EV) , Horn Control System, Traffic management system.

Abstract: It is common to have an unbalanced class distribution in many classification problems. The class imbalance problem is even more severe when the dimensionality is high. One commonly used strategy to improve the classification performance is feature selection. Feature selection is a technique to select a subset of relevant features that allow a classifier to reach optimal performance. Most of the approaches for feature selection methods for imbalanced datasets mainly focus on an imbalanced dataset with two classes and does not work significantly well with a multiclass imbalanced dataset. In this paper, we propose a filter feature selection algorithm called MINDEX_IB, for unbalanced data sets. MINDEX_IB is a filter approach based measure. The proposed measure focuses on efficient partitioning of the attribute domain. Here, partitioning is done via micro-clustering i.e. the process of making micro-clusters. MINDEX_IB outperforms other feature selection algorithms in terms of number of features selected, accuracy and also in terms of performance measures for the imbalanced dataset such as F-measure and AUC evaluation measure.

Keywords: Feature selection, Imbalanced dataset, Classification, Filter based approach.

Abstract: Gold has always been considered to be the safest haven for investment by the Indians. In fact gold is widely regarded as a hedge against adverse financial and economic conditions by the Indians. Thus prior prediction of gold prices assumes great importance as it can aid both the investors and the traders in making intelligent investment decisions in the Gold market. Time Series forecasting has found wide spread applications in varied spheres of business, economics, commerce, production and many others. On the other hand, the past few years have also witnessed rising popularity of Artificial Neural networks for forecasting purposes. This paper compares and analyses the forecasting of the Indian Gold prices using the linear Autoregressive Integrated Moving Average (ARIMA) model and the non linear Artificial Neural Network (ANN) model by developing two models based on these approaches. The relative forecasting efficiencies of the two proposed models is then compared using the statistical measures of performance.

Keywords: Artificial Neural Networks, Autoregressive Integrated Moving Average (ARIMA), Indian Gold Prices, Time Series Forecasting.

Abstract: In today�s era of World Wide Web, there is a tremendous proliferation in the amount of digitized text documents. As there is huge collection of documents on the web, there is a need of grouping the set of documents into clusters. Document clustering plays an important role in effectively navigating and organizing the documents. The k-means clustering algorithm is the most commonly document clustering algorithm, it takes less computation time than a matrix-based clustering algorithm. The major problem with this algorithm is that it is quite sensitive to selection of initial cluster centroids. This article proposed a hybrid Genetic K-means clustering algorithm that improves the quality of clusters. Further, author has also performs a comparisons of hybrid algorithm and k-means algorithm on two different text document dataset. The experimental results show that the proposed method is more effective and converge to more accurate clusters than previous method.

Keywords: Document Clustering, Cosine Similarity, k-means, Genetic Algorithm, Purity measure.

Abstract: In past few years, Wireless sensor networks (WSNs) is growing enormously in order to achieve aforementioned WSN related purpose such as improved network lifetime and energy efficient network. This is challenging task in WSNs due to its resource restriction. The objective of this paper is to present some modified weight based clustering algorithms (WBCAs) those are initiated from mobile ad-hoc network (MANET). WBCAs consider several different parameters such as transmission power, number of neighbour�s nodes and remaining energy etc. to select a cluster head (CH), which is more beneficial compared to other clustering algorithms that consider one or two parameters into account.

Keywords: Wireless Sensor Networks, Combined Weight Function, Network Lifetime, Cluster Head.

Abstract: This paper focuses on the analysis of NOR flash and Serial Peripheral Interface (SPI) bus. In this paper we are dealing with the testing feature of the NOR flash memory and developing the architecture of validation suite. The communication is achieved via SPI bus between host and target. Host and Target are microcontroller and FPGA. In between these two SPI bus acts as an interface. NOR flash is a kind of permanent technology that stores the data or information even though the power is off. There are two types of Flash memory, such as NOR flash memory and NAND flash memory. NOR flash is used because it has execute in place feature and read operation is faster than NAND flash memory. Also comparison in done in between three approaches like Extended SPI approach, Quad approach and Octal approach.

Keywords: NOR Flash, SPI bus, Host, Target, execute in place, NAND Flash, communication.

Abstract: Identity Based Encryption (IBE) which disentangles general key and authentication administration at Public Key Infrastructure (PKI) is a vital distinct option for open key encryption. In any case, one of the fundamental productivity disadvantages of IBE is the overhead calculation at Private Key Generator (PKG) amid client repudiation. Productive renouncement has been all around examined in conventional PKI setting, yet the bulky administration of testaments is absolutely the weight that Attribute based encryption (ABE)endeavours to lighten. In this anticipate, going for handling the basic issue of character repudiation, we bring outsourcing calculation into ABE interestingly and propose a revocable ABE plan in the server-helped setting. Our plan offloads the greater part of the key era related operations amid key-issuing and key-overhaul procedures to a Key Update Cloud Service Provider, leaving just a consistent number of straightforward operations for PKG and clients to perform locally. This objective is accomplished by using a novel conspiracy safe procedure: we utilize a half and half private key for every client, in which an AND door is included to interface and bound the character part and the time segment. Moreover, this project propose another development which is provable secure under the as of late formulized Refereed Delegation of Computation model.

Keywords: Identity based encryption (IBE), revocation, outsourcing, cloud computing, Cryptography.

No abstract available.

Abstract: Conversing on cell phones while driving is as calamitous as driving our car after drinking which can lead to various disastrous major miss incidents. Do you know that using a mobile phone while driving can influence the cognitive functions of persons, amuse his or her visual concentration and also the speed of processing message. It has been also confirm that use of cell phones while driving puts a driver at an extremely higher risk of collision by distracting their mind. It matters even if the person makes use of hands free or hand-held phones, which has no escape to it. This deadly combo has crunch increased the risk of accidents in range numbers. The theme of this project is to make the driver to attend only the emergency calls. Initially driver should enable call forward to system number. When a call is made to driver, the caller will receive a message intimating that he is in driving. If once again he calls the driver then it is understood that it is crunch. So the driver will get an intimation regarding the emergency call through LCD display. If he wants to make a call, he must stop the car. Unless the system will recognize in such a way that the driver is speaking in mobile phone while driving. It automatically reduces the car fuel supply by variable Solenoid so that the driver will have time to park the car. Thus the system prevents accidents due to phone calls.

Keywords: GSM Module, Mobile Phone Sniffer ,DC Motor, Solenoid valve, Flow sensor, RPM Sensor.

Abstract: The changes or variations that occur in physiological parameters of the body when a person is in state of rest, which means he/she is still, lying down, not talking, not under any pressure not even thinking, if possible, is termed as physiological variability (PV). The importance of physiological variability was realised thousands years ago by Indian Medical System, AYURVEDA. It was then referred as �NAADI PARIKSHA�. Today, the Interventional analysis of physiological variability had become crucial for the assessment of Autonomic Nervous System(ANS) activities. ANSis further divided into Sympathetic and Para-Sympathetic Systems which have opposite impact on any of the organ systems of an individual. Increase in the heart rate, the secretions of the glands of alimentary track etc. are some physiological factors controlled by ANS. This paper discusses various research papers and articles, analysing how the factors determining the physiological ari ability can be easily calculated by intervening with the body only non-invasively in order to determine the individual�s health index. Emphasis have also been laid on increasing number of softwares used for analysis of such data; where the developers use various Data Mining Techniques for developing such medically relevant softwares. Heart Rate Variability (HRV), Peripheral Blood Flow Variability (PBFRV) and Morphological Index Variability (MIV) are the main highlights as these are key parameters in PV.

Keywords: Physiological Variability, Automatic Nervous System, Para-Sympathetic Changes, Data Mining.

Abstract: In the present state image retrieval plays a dynamic character. The turf of image retrieval has been a dynamic research zone for numerous eras and has been rewarded more and more devotion in current years as a outcome of the theatrical and wild increase in the tome of digital images. CBIR purposes at verdict image database for exact images that are alike to a given query image based on its features. Users can question sample images based on these features such as texture, color, region, shape and others. Mark or nearby Images can be regained in a slight fast if it is clustered in a correct way. For gathering, we use fuzzy- c mean clustering. In this system related images will be retrieved from database.

Keywords: Content based image retrieval, Auto-correlation, RGB components, Query, retrieval design, image mining.