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VOLUME 3, ISSUE 11, NOVEMBER 2014
Abstract
Implimentation Appraoch for Secure Web Application by Different Prevention Stratergies
Abstract: The World Wide Web (WWW) is delivering a broad range of sophisticated web applications for business, net banking, online shopping etc., However, many web applications go through fast development phases with short time, making it difficult to eliminate vulnerabilities. This kind of Web applications are target of hackers. From an application point of view, vulnerability identification are critical and often over looked as a source of risk. OWASP develop tools and best practices to support developers in the development and operation of secure web applications. According to OWASP, Web applications vulnerable to attacks such as SQL injection and Cross-Site Scripting, Cross Site Request Forgery, Broken Authentication and Session management as mention below. In this paper we focus mainly on some of the security risks listed by OWASP top ten, such as Cross-site scripting, Cross-site request forgery, Authorization, as well as client side Validations. For the realization of this paper, the new security framework helps to make the applications more secure against these risks. In this paper we are implementing identification of vulnerabilities of web application i.e., SQLI, CSRF, XSS and Broken Authentication and session management, Insecure Cryptographic Storage, Insecure Direct Object References, Failure to Restrict URL Access, Unvalidated Redirects and Forwards etc., to find out their prevention strategies over existing web application. The main objective of this paper is to create a secure web application that provide security when user is login or while user is logged on. Web application must be secure from the attacks that are listed in above section and show how these attacks are used to compromise user identity and credentials. In this paper we are proposing a framework for building secure and anti-theft web applications that must be secure from above listed attacks by improving existing web prevention techniques.
Keywords: Vulnerabilities, SQL Injection attack, Cross Site Request Forgery, Cross Site Scripting, Broken Authentication and Session management, Open Web Application Security Project.
Keywords: Vulnerabilities, SQL Injection attack, Cross Site Request Forgery, Cross Site Scripting, Broken Authentication and Session management, Open Web Application Security Project.
Abstract
An Interactive Content Development for Algorithm based Subjects in Engineering using Android
Abstract: A software android application for algorithm based subjects in engineering features the visualization of commonly used algorithms in Data Structures and Design and Analysis of Algorithm. Various operations on stack, queue, list etc like insertion, deletion etc are introduced. In addition, this software can be used to animate various algorithms of searching, sorting, and operations on stack, queue etc. However, many students find difficulty to study the core subjects like Advanced C Concepts, Data Structure and Design & Analysis of Algorithms because it requires abstract thinking. It would be very helpful if there will be visualization tool of data structures such as arrays, queues, stacks, trees and graphs for students to experiment with. The tool would allow students to see how an element is inserted into or deleted from different data structures, how a tree is traversed in different order (pre-order, in-order, post-order, level-order), etc. i.e. Simulation Technique. By using animation, it is possible to teach particular subject to the student in interesting & easier way.
Keywords: Android, Eclipse, SDK (Software Development Kit), Advanced C Concepts, Data Structure, Design and Analysis of Algorithm, Simulation, Animation.
Keywords: Android, Eclipse, SDK (Software Development Kit), Advanced C Concepts, Data Structure, Design and Analysis of Algorithm, Simulation, Animation.
Abstract
An Automated Model to Observer Attendance Performance and Retention of theFirst Year Qatar University Students
Abstract: This article focuses on attendance, performance and retention of first year students of Math and Computer Department at the Foundation Program, Qatar University. A strategy has been developed to monitor attendance, performance and retention the students. To capture and analyse the data, a Monitoring system has developed and reported in this paper. Whenever student shows signs of absence with the poor performance then the Monitoring System start showing consequences with the aim of providing support for student at risk of failure or withdrawal at the early stage. Therefore, an intervention strategy assists to improve in attendance and performance with the dialogue among faculty, admin staff and students who are experiencing difficulties. The students physical attendance are most important factor to understand the learning material, to improve critical thinking and to elucidate problem solving based questions which leads to academic achievements in the research, learning system and to develop a knowledge base society. Data of each student is entered by the teacher in the Monitoring System from the day one of their classes. This Monitoring system is developed using Oracle and Java to cater both presence of students and their achievements. Many faculties from Math and Computer department of Qatar University provided feedback to develop the system and still reinforce the on-going improvement. The developed Monitoring system is highly user friendly and easy to access within the university intranet. There are several reports that can be generating from the academic coordinator, HOD and system manager which give invaluable information about the students‟ and teachers‟ commitments. The attendance data can only be entered in the campus through intranet during the class hours which reduces the chance of errors, manipulations and biasness. If the teacher is unable to enter data then he/she has to explain the reasons for delay in entering data. Student can also monitor their earlier attendance percentage and outcome of the each result and can discuss if any discrepancy. This paper is very interesting to other tutors who want to use electronic attendance, control performance in each step and follow up students at risk. The research found that attendance are highly correlated with the student overall academic performance and retention of the student.
Keywords: Student Outcome. Student attendance, Intervention, Web-based System.
Keywords: Student Outcome. Student attendance, Intervention, Web-based System.
Abstract
Performance Analysis of NI Real Time Hypervisor using Decision making Algorithms
Abstract: NI Real-Time Hypervisor programming utilizes development of virtualization for running LabVIEW Real- Time close by to Windows XP, Red Hat Enterprise Linux or Windows 7 on stand out controller. In present days the multi criteria choice making systems are playing an important role for determination of best among the available choices. Multiple Criteria decision Making (MCDM) systems are focused around accumulating importance to the concept of ―closeness to perfect". In this paper four multi-criteria decision making(MCDM) techniques Simple Additive Weighting (SAW) Method, Weighted Product Method (WPM), Grey Resolution Analysis (GRA), and TOPSIS algorithms are analyzed for Windows or Linux as general purpose operating systems. LabVIEW Real time system and the general purpose operating systems access the shared memory and for synchronizing it they use either blocking or polling methods. The test results of the system are considered and their efficiency and performance is calculated using the above four algorithms.
Keywords: MCDM, LabVIEW, Operating systems, Hypervisor
Keywords: MCDM, LabVIEW, Operating systems, Hypervisor
Abstract
Design and Analysis of High Performance FIR Filter using MAC Unit
Abstract: The filter whose response to the impulse signal is bounded, popularly known to be the Finite Impulse Response Filter, (shortly an FIR filter) is an important component for designing an efficient digital signal processing system. In different DSP applications FIR filters are widely used. Many applications in digital communication uses the techniques for power reduction are developed particularly in, words processing involving adaptive sound cancelation, seismic signal handing out (noise cancelation), requires large order FIR filters for many other synthesis operations of signal. So, an FIR filter is being constructed, which is efficient in terms of power. Here, the new implementing approach was adopted by the adder and multiplier for designing of FIR filter. The multiplier used is Modified Wallace Multiplier, will reduce the number of partial products. The Carry skip (carry by pass) adder attenuates the unwanted addition and thereby lessening the dissipations of switching power. This paper presents an efficient implementation and analysis for performance evaluation of multiplier and adder to minimize the consumption of power during multiplication and addition by comparing with different adders and multipliers. The proposed design has compact power and improved performance when compared with the proposed FIR filter with comprises of conventional FIR filter. This work evaluates performance of FIR filter in terms of speed and power and synthesis are executed in Xilinx FPGA environment. The result analysis shows that the proposed FIR filter consumes low power than conventional FIR Filter.
Keywords: Finite Impulse Response Filter (FIR), Multiplier and Accumulator (MAC), Modified Wallace multiplier, Carry skip adder
Keywords: Finite Impulse Response Filter (FIR), Multiplier and Accumulator (MAC), Modified Wallace multiplier, Carry skip adder
Abstract
Motion Estimation Testing Applications using Error Detection and Data Recovery Architecture
Abstract: This paper presents an error detection and data recovery (EDDR) design, based on the residue-and-quotient (RQ) code, to embed into motion estimation (ME) for video coding testing applications. An error in processing elements (PEs), i.e. key components of a ME, can be detected and recovered effectively by using the EDDR design. The proposed EDDR design for ME testing can detect errors and recover data with an acceptable area overhead and timing penalty. The functional verification and synthesis can be done by Xilinx ISE. That is when compare to the existing design the implemented design area and timing will be reduced..
Keywords: EDDR, Motion estimation, processing elements, testing
Keywords: EDDR, Motion estimation, processing elements, testing
Abstract
Performance Analysis of 2D DCT for Ultra High Definition Video Coding
Abstract: Data compression is the reduction or elimination of redundancy in data representation in order to achieve savings in storage and communication costs. Data compression techniques can be broadly classified into two categories: Lossless, Lossy schemes. In lossless methods, the exact original data can be recovered while in lossy schemes a close approximation of the original data can be obtained. The lossless method is also called entropy coding schemes since there is no loss of information content during the process of compression. Digital images require an enormous amount of space for storage. This work is to design VLSI architecture for the JPEG Baseline Image Compression Standard. The architecture exploits the principles of pipelining and parallelism to the maximum extent in order to obtain high speed the architecture for discrete cosine transforms and the entropy encoder are based on efficient algorithms designed for high speed VLSI. In recent years, a working group known as Joint Photographic Expert Group (JPEG) has defined an international standard for coding and compression of continuous tone still images. This standard is commonly referred to as the JPEG standard. Two dimensional DCT takes important role in compression. Architecture and VERILOG design of 2-D DCT, combined with quantization and zig-zag arrangement, is implemented in this project. DCT calculation used in this project is made using scaled DCT. The output of DCT module needs to be multiplied with post-scaler value to get the real DCT coefficients. Post-scaling process is done together with quantization process. 2-D DCT is computed by combining two 1-D DCT that connected by a transpose buffer. In this project the Modelsim is used for simulation.
Keywords: Model Sim, DCT, Verilog
Keywords: Model Sim, DCT, Verilog
Abstract
An Efficient Implementation of Carry Select Adder with Low Power and Area Efficient Characteristics
Abstract: The CSLA is used in many computational systems to alleviate the problem of carry propagation delay by independently generating multiple carries and then select a carry to generate the sum . However, the CSLA is not area efficient because it uses multiple pairs of Ripple Carry Adders (RCA) to generate partial sum and carry by considering carry input , then the final sum and carry are selected by the multiplexers (mux). The basic idea of this work is to use Binary to Excess-1 Converter (BEC) instead of RCA in the regular CSLA to achieve high speed and low power consumption.
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Keywords: Low Power VLSI, Carry select, RCA, BEC, VLSI
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Keywords: Low Power VLSI, Carry select, RCA, BEC, VLSI
Abstract
Effectual Routing in Wireless Sensor Networks- a Review
Abstract: A wireless sensor network is an enormous assortment of sensor nodes with inadequate power supply and self-conscious computational competence. Due to the circumscribed communication range and high density of sensor nodes, packet dispatching in sensor networks is usually performed through multi-hop data transmission. For that reason, routing in wireless sensor networks has been deliberated as an imperative field of research over the past decade. These days, multipath routing techniques is widely used in wireless sensor networks to improve network performance over and done with efficient utilization of accessible network resources. Consequently, the main intention of this review is to present the conception of the various routing approaches and its fundamental experiments, as well as the basic motivations for exploiting these techniques in wireless sensor networks. Routing procedures for WSNs are responsible for selecting and maintaining the routes in the network and ensure reliable and effective communication in inadequate periods. The energy constriction of WSNs make energy saving become the most significant objective of various routing algorithms. In this paper, a review of routing protocols and algorithms used in WSNs is presented with energy efficiency as the main goalmouth.
Keywords: Wireless Sensor Networks, Routing Protocols, energy efficiency, WSN routing protocol, Location aware, scalability, hierarchical, Clustering, Review.
Keywords: Wireless Sensor Networks, Routing Protocols, energy efficiency, WSN routing protocol, Location aware, scalability, hierarchical, Clustering, Review.
Abstract
WiMAX Security Threats And Their Counter Measures
Abstract: WiMAX is a recent technology in wireless communication that is based on IEEE 802.16 standard.It is a Wireless Metropolitan Area Network. The WiMAX trademark was coined by WiMAX Forum.This Forum defines the precise content and scope of WiMAX technology through technical specification. WiMAX provides many advantages over previous technologies like high data rates, scalability, quality of service and security. WiMAX provides many security techniques but still it is vulnerable to various threats.This paper exposes those threats and their countermeasures.
Keywords: WiMAX, Security Threats, Vulnerabilities and countermeasure
Keywords: WiMAX, Security Threats, Vulnerabilities and countermeasure
Abstract
Public Transport Assistant for Visually Impaired (PuTAVI)
Abstract: Visually challenged people rely on support for managing their routine, be it in crossing busy roads, climbing steps or boarding buses. Applying technology to make these people self-reliant and independent is a social responsibility. It is high time that a novel technological solution be found. The objective of this project is to provide technologically supported audio guidance system to visually challenged people, with respect to obstacle and bus identification on an MSP430 platform making use of ultrasonic sensors, RF Transmitter and Receiver. The system is wearable by the user and user friendly in its interface.
Keywords: Signal Conditioning; Audio playback; Obstacle Detection System; Bus Identification System; Ultrasonic sensors
Keywords: Signal Conditioning; Audio playback; Obstacle Detection System; Bus Identification System; Ultrasonic sensors
Abstract
Process Mining a Comparative Study
Abstract: The systems that support today‟s globally distributed and agile businesses are steadily growing in size and generating numerous events. Business Intelligence aims to support and improve decision making processes by providing methods and tools for analyzing the data. Process mining builds the bridge between Data Mining as a Business Intelligence approach and Business Process Management. Its primary objective is the discovery of process models based on available event log data.
Many process mining algorithms have been proposed recently, there does not exist a widely-accepted benchmark to evaluate and compare these process mining algorithms. As a result, it can be difficult to choose a suitable process mining algorithm for a given enterprise or application domain.
This paper proposes a solution to evaluate and compare these process mining algorithms efficiently, so that businesses can efficiently select the process mining algorithms that are most suitable for a given model set.
Keywords: Process mining, Heuristic miner, Genetic miner, Fuzzy miner
Many process mining algorithms have been proposed recently, there does not exist a widely-accepted benchmark to evaluate and compare these process mining algorithms. As a result, it can be difficult to choose a suitable process mining algorithm for a given enterprise or application domain.
This paper proposes a solution to evaluate and compare these process mining algorithms efficiently, so that businesses can efficiently select the process mining algorithms that are most suitable for a given model set.
Keywords: Process mining, Heuristic miner, Genetic miner, Fuzzy miner
Abstract
Survey on Medical Image Segmentation Algorithms
Abstract: Image segmentation is a process of partition of an image into different objects. There is a significant difference between image enhancement and segmentation. In image enhancement process is to improve the given image quality with respect to image appearance (brightness, contrast, texture).In this segmentation process, the particular portion of a image is highlighted according to the problem defined. Here in this paper we see the performance of the various algorithms for different images.
Keywords: Image segmentation, Edge detection, Region based algorithm, Thresholding, Clustering.
Keywords: Image segmentation, Edge detection, Region based algorithm, Thresholding, Clustering.
Abstract
Conditional Clocking Flip-Flop for Low Power High-Speed Mobile Application SOC
Abstract: An extremely low-power flip-flop named topologically-compressed flip-flop is planned. As compared with standard FFs, the FF reduces power dissipation by seventy fifth at 1/3 information activity. This power reduction magnitude relation is that the highest among FFs that are reported thus far. The reduction is achieved by applying topological compression methodology, merger of logically equivalent transistors to associate unconventional latch structure. The terribly little variety of transistors, only three, connected to clock signal reduces the facility drastically, and therefore the smaller total transistor count assures identical cell space as standard FFs. In addition, absolutely static full-swing operation makes the cell tolerant of provide voltage and input slew variation. associate experimental chip design with forty nm CMOS technology shows that nearly all standard FFs are replaceable with planned FF whereas protective the same system performance and layout space.
Keywords: Flip-flops, low-power, VLSII
Keywords: Flip-flops, low-power, VLSII
Abstract
Contemplating Audio Secret Sharing Schemes
Abstract: The methodology of secret sharing involves the ownership of the key by the dealer which would give access to the original secret that has been divided into shares. This concept has been applied similarly onto an audio message that has to be conveyed over a network. The Audio Data is divided into multiple shares which would be collated later on in order to get the original audio message. The failure to meet the condition would render the entire message useless that is to say that all the shares are essential for the reconstruction of the original audio message. The intent of this paper is to study and analyse the audio secret sharing schemes. The comparative analysis of different audio secret sharing schemes that have been proposed in the past has been put forth.
Keywords: Cryptography, Audio Secret Sharing, Masking, Security
Keywords: Cryptography, Audio Secret Sharing, Masking, Security
Abstract
Secure and Dynamic On-Demand Access to Distributed Information through Information Brokering System
Abstract: Distributed information systems emerged as solution for the needs of enterprises that share information via on-demand access. Information Brokering Systems (IBSs) came into existence to leverage usefulness of sharing information among organizations. The IBS is responsible to integrate loosely coupled systems forming a brokering overlay. The existing IBSs believe that the brokers are trusted and data can be shared through them confidently. However, adversaries can infer information from the metadata available. This is the problem to be addressed. Recently Li et al. proposed an approach for privacy preserving information brokering. They focused two kinds of privacy attacks namely inference attack and attribute-correlation attack. They also proposed two solutions for preventing these attacks. They are query segment encryption and automaton segmentation respectively. With insignificant overhead, their approach provides system-wide security. In this paper, we implemented privacy preserving on-demand access to distributed information brokering system. We built a prototype application that demonstrates the proof of concept.
Keywords: Security, privacy, information brokering, and access control
Keywords: Security, privacy, information brokering, and access control
Abstract
Triad Histogram to Enhance Chest X-Ray Image
Abstract: The objective of Digital Image processing(DIP) refers to manipulate and enhance the image quality. There are plenty of image processing applications and problems are there, namely image representation enhancement, restoration and compression etc., In this paper, only three types of histogram modification methods (i.e. HE, AHE, & CLAHE) are discussed and implemented in MATLAB. The performance of these techniques is then compared using various parameters such as Peak signal to noise ratio (PSNR), Mean squared error (MSE), Signal to noise ratio (SNR), Absolute mean brightness error (AMBE) and Entropy. The results shows that CLAHE is efficient when compared to other two methods.
Keywords: DIP, Representation, Restoration, Compression, Medical Image Enhancement, Histogram.
Keywords: DIP, Representation, Restoration, Compression, Medical Image Enhancement, Histogram.
Abstract
Testability Measurement Framework Design Phase Perspective
Abstract: Measuring testability early in the development life cycle considerably reduces the overall development cost, effort and rework. It is very expensive and error prone decision to correct the design to get better testability after the coding has started.
This paper proposes a testability measurement framework for object oriented software concerning at design phase. This framework correlates the testability factor with object oriented design properties and also correlates design properties with object oriented design metrics. No such framework has been presented in the literature that accurately measure testability of object oriented software taking design phase into consideration. The proposed framework reduces the gap between object oriented design properties, metrics and testability. This framework measures effort in measuring testability of object oriented software early at design phase and makes it possible to produce reliable end product within time and budget.
Keywords: Testability Measurement Framework. Testability Estimation, Software Testability, Software Quality, Design Phase, Object Oriented Design.
This paper proposes a testability measurement framework for object oriented software concerning at design phase. This framework correlates the testability factor with object oriented design properties and also correlates design properties with object oriented design metrics. No such framework has been presented in the literature that accurately measure testability of object oriented software taking design phase into consideration. The proposed framework reduces the gap between object oriented design properties, metrics and testability. This framework measures effort in measuring testability of object oriented software early at design phase and makes it possible to produce reliable end product within time and budget.
Keywords: Testability Measurement Framework. Testability Estimation, Software Testability, Software Quality, Design Phase, Object Oriented Design.
Abstract
Live Broadcasting of TV-Stream Over 5G in Commercial Applications
Abstract: The development of mobile devices and their intensifying use has been overwhelming in the last decade. This has led to evolution of complex mobile networks to cope with the tremendous need for data consumption. Mobile applications and services have become complex and sophisticated to meet end-users expectations such as multimedia communication. 4G mobile communication system is the latest and current technology offering higher data transmission rates than its predecessor 3G. Currently 4G can reach up to 1Gbps. With challenge from ever growing need for data, research has been kicked off for 5G which is expected to offer increased maximum throughput, highly secure system and low battery consumption. This paper proposes an application for multimedia streaming on cameras that are fully mobile to capture video and stream it over 5G networks. This application utilizes 5G technology to deliver improved end-user and commercial experience.
Keywords: 5G, Multimedia, Flat IP, Wireless Communication, Quality of Service
Keywords: 5G, Multimedia, Flat IP, Wireless Communication, Quality of Service
Abstract
FUSION Software System to Model Preferences of Multiple Users
Abstract: In present days software systems have turned to Self-adaptive software systems, which are accomplishing quality of service goals and uncertainty of their environments. An unexpected changes at runtime that disobey the assumptions made about the interior structure of the system could degrade the correctness of the adaptation decisions. In several real-world systems, to come pending a goal violation occurs and then reacting to it may be very costly. In addition, presently Self- adaptive software systems think an only stakeholder, with single utility function. In this paper, a mechanism called FeatUre-oriented SelfadaptatION (FUSION) framework to extend model multiple users preferences in terms of multiple utility function, and also we identify the vital challenges in self-adaptation decision must tackle to enable correctness of Learning adaptation decisions.
Keywords: Model preference, automatic computing, feature-orientation, Resource Adaptation, Self-adaptive Systems, Software Architecture, product line literature
Keywords: Model preference, automatic computing, feature-orientation, Resource Adaptation, Self-adaptive Systems, Software Architecture, product line literature
Abstract
Analysis of Inter Cluster Migration Estimation (ICME) model in multidimensional clusters
Abstract: Clustering evolves as an indigenous unsupervised data mining problem. This paper presents an estimation model, when new unclustered information is fed to the clustered system. The soul of this paper is to test the accuracy of the built Inter Cluster Movement Estimation (ICME) model with multi-dimensional clusters. Clusters of varying sizes and dimensions were constructed from synthetic and real data sets taken from UCI repository. On experimental analysis, the accuracy of the approximation model is found to increase with increased cluster sizes of multiple dimensions.
Keywords: Cluster parameters, Estimation model, Inter cluster movement, Multi-dimensional data set
Keywords: Cluster parameters, Estimation model, Inter cluster movement, Multi-dimensional data set
Abstract
Long Transmission Range Performance Evaluation on RI-MAC protocol in Wireless Sensor Networks
Abstract: In this paper, we are evaluating the performance receiver-initiated MAC (RI-MAC) protocol in long transmission range application focuses on the extended transmission range from 250m to 850m in wireless sensor nodes(WSN) using computer simulation. The reason to extend the transmission range is to apply the WSN in wider coverage with lower node density to achieve cost effectiveness, such as in the random networks. From the results obtained, that the maximum transmission range of WSN is less than 650m. The significant of this paper is to highlight the limitation of the current protocol when transmission range is extended to 850m, hence justifying the need to enhance the existing protocol for long transmission range application in WSN.
Keywords: transmission range, limitation, lower node density, wider coverage, cost effectiveness, random networks
Keywords: transmission range, limitation, lower node density, wider coverage, cost effectiveness, random networks
Abstract
Impending Form Interpretations for Delay to Ramp and Step Input On-Chip VLSI RLC Annex
Abstract: In a high speed digital integrated circuit, annex delay can be momentous and hold for factual exploration by using moments of impulse response delay exploration has been done. Elmore delay is (the first moment of impulse response) interpretation, to moment matching approach which establish reduced order trans-impedance and transfer function approximations. The elmore delay is swift becoming inadequate for deep submicron technologies and reduced order transfer function delays are un-functional for use as early phase design matrices. This paper interpret access for fitting moments of the impulse response to probability density function, so that delay can be appraisal factually for RLC trees, it is a demonstrated that inverse gamma function provides a provable stable approximation. For prolong delay matrices for ramp inputs to the more general and realistic non-step input, we use PERI (probability distribution function extension for ramp input) technology. The factual model consequence compared with MATLAB simulation.
Keywords: Moment Matching, On-Chip Interconnect, Probability Distribution function, Cumulative Distribution function, Delay calculation, Slew Calculation, Beta Distribution, VLSI.
Keywords: Moment Matching, On-Chip Interconnect, Probability Distribution function, Cumulative Distribution function, Delay calculation, Slew Calculation, Beta Distribution, VLSI.
Abstract
Extraction of Grayscale Brain Tumor in Magnetic Resonance Image
Abstract: Magnetic resonance imaging (MRI) has great contribution in diagnosis and treatment of brain tumor. Segmentation of grayscale tumor or low intensity tumor is the most important and challenging task. In this paper, we propose a method to extract grayscale tumor from MRI image. Due to low intensity profile of input image, global contrast enhancement method is applied as a pre-processing step. This enhanced grayscale image is converted into binary image. Further, algorithm segments largest connected region using mathematical morphological and segmentation methods. At last, tumor region is extracted using resultant image and input MRI image. Experimental results show the proposed method effectively extracts a grayscale brain tumor from MRI images.
Keywords: MRI image, grayscale tumor, mathematical morphology and segmentation.
Keywords: MRI image, grayscale tumor, mathematical morphology and segmentation.
Abstract
Dual-Tree DWT based turbulence mitigation in visual surveillance
Abstract: A long-distance imaging system can be strongly affected by atmospheric turbulence. In this paper, we propose a novel method for mitigating the effects of atmospheric distortion on observed images, particularly airborne turbulence which can severely degrade a region of interest (ROI). In order to extract accurate detail about objects behind the distorting layer, a simple and efficient frame selection method is proposed to select informative ROIs only from good quality frames. The ROIs in each frame are then registered to further reduce offsets and distortions. We solve the space-varying distortion problem using region-level fusion based on the dual tree complex wavelet transform. Finally, contrast enhancement is applied. We further propose a learning-based metric specifically for image quality assessment in the presence of atmospheric distortion. This is capable of estimating quality in both full and no-reference scenarios. The proposed method is shown to significantly outperform existing methods, providing enhanced situational awareness in a range of surveillance scenarios.
Keywords: Dual tree complex wavelet transform (DT-CWT), image restoration, quality metrics, region-level fusion.
Keywords: Dual tree complex wavelet transform (DT-CWT), image restoration, quality metrics, region-level fusion.
Abstract
Implementation of Attendance Management System using SMART-FR
Abstract: Attendance Management System (AMS) is the easiest way to keep track of attendance for community organizations such as school clubs, scouting units, church groups, business organizations and volunteer groups. Among the person identification methods, face recognition is known to be the most natural ones, since the face modality is the modality that uses to identify people in everyday lives. Although other methods, such as fingerprint identification can provide better performance, those are not appropriate for natural smart interactions due to their intrusive nature. This face detection differentiates faces from non-faces and is therefore essential for accurate attendance. The other strategy involves face recognition for marking the student’s attendance. The Raspberry pi module is used for face detection & recognition. The camera will be connected to the Raspberry pi module. The student database is collected. The database includes name of the students, there images & roll number. This raspberry pi module will be installed at the front side of class in such a way that we can capture entire class. Thus with the help of this system, time will be saved. With the help of this system, it is so convenient to record attendance. We can take attendance on any time. And the details of the student will be sent to the corresponding department and their parents using GSM technology.
Keywords: GSM, Face recognition, Raspberry Pi, Open CV, Attendance
Keywords: GSM, Face recognition, Raspberry Pi, Open CV, Attendance
Abstract
Survey on various improved Apriori Algorithms
Abstract: Data Mining is a way of obtaining undetected patterns or facts from massive amount of data in a database. Association rule mining is a major technique in the area of data mining. Association rule mining finds frequent itemsets from a set of transactional databases. Apriori algorithm is one of the earliest algorithm of association rule mining. Apriori employs an iterative approach known as levelwise search. In this paper, we have presented a survey of most recent work that has been done by researchers in Association rule based mining using Apriori algorithm.
Keywords: Association rule mining, Data mining, Apriori algorithm.
Keywords: Association rule mining, Data mining, Apriori algorithm.
Abstract
Survey on Various Enhanced K-Means Algorithms
Abstract: Data Mining is defined as a technique used to extract and mine the invisible, meaningful information from mountain of data. Clustering is an important technique that has been introduced in the area of data mining. Clustering is defined as a method used to group similar data into a set of clusters based on some common characteristics. K-means is one of the popular partitional based clustering algorithms in the area of research. The impact factor of k-means is its simplicity, high efficiency and scalability. However, is also comprises of number of limitations: random selection of initial centroids, number of cluster K need to be initialized and influence by outliers. In view of these deficiencies, this paper presents a survey of improvements done to traditional k-means to handle such limitations.
Keywords: Data Mining, Clustering, K-means algorithm, Improved K-means algorithm
Keywords: Data Mining, Clustering, K-means algorithm, Improved K-means algorithm
Abstract
Query Suggestion and Recommendation Using Bipartite Graph and K-Means Clustering
Abstract: With the diverse and explosive growth of web information, retrieving, organizing and utilizing the information effectively and efficiently has become more and more critical. The first challenge is that it is not easy to recommend latent semantically relevant results to users. The second challenge is to take into account the personalization feature. As the exponential explosion of various contents generated on the Web, Recommendation techniques have become increasingly indispensable. Innumerable different kinds of recommendations are made on the Web every day, including movies, music, images, books recommendations, query suggestions, tags recommendations, etc., The proposed work carries out query suggestion and recommends query and URL‟s using Bipartite graph and K- means clustering.
Keywords: Recommendation, Clustering, Query suggestion.
Keywords: Recommendation, Clustering, Query suggestion.
Abstract
Secure Path Selection Using SAODV in Wireless Ad Hoc Network
Abstract: Due to the raising dependence of people on critical applications and wireless networks, high level of reliability, security and availability is claimed to assure secure and reliable service operation. Wireless ad hoc networks (WANETs) experience serious security issues even when solutions employ preventive or reactive security mechanisms. In order to support both network operations and security requirements of critical applications, we present SAMNAR, a Survivable Ad hoc and Mesh Network ARchitecture. Its goal lies in managing adaptively preventive, reactive and tolerant security mechanisms to provide essential services even under attacks, intrusions or failures. We use SAMNAR to design a path selection scheme for WANET routing. The evaluation of this path selection scheme considers scenarios using urban mesh network mobility with urban propagation models, and also random way point mobility with two-ray ground propagation models. Results show the survivability achieved on routing service under different conditions and attacks.
Keywords: Security Management, Wireless Adhoc Networks, Survivability, Routing
Keywords: Security Management, Wireless Adhoc Networks, Survivability, Routing
Abstract
Keyphrase Extraction using supervise learning
Abstract: Text mining is knowledge intensive process in which a user communicates with a collection of documents. Text categorization is a kind of “supervised” learning where the categories are known beforehand and determined in advance for each training document. Manually extraction of keywords is slow, expensive and tedious. Therefore automatic keyword extraction is necessary. Keyphrases help the users to get idea about the content of document. Kea- means clustering used for extracting test document from large quantity of text data. In Kea-means algorithm, documents are clustered into several groups like K-means, but the number of clusters is determined automatically by using the extracted keyphrases. Set of training documents and machine learning is used to determine phrases are keyphrase or not.
Keywords: Text mining, Keyphrases, clustering, supervise learning.
Keywords: Text mining, Keyphrases, clustering, supervise learning.
Abstract
An Analysis of Third Party Auditing Techniques in Cloud Computing
Abstract: The usage of Cloud computing is increases rapidly in many enterprises. It provides a framework to cloud users. It aims to provide a resource based on-demand. It avoids online usage burden of accessing data through internet. Cloud storage supports to maintain data securely in cloud. To enhance data correctness of cloud, auditing is done by Third Party Auditor (TPA). The TPA can check integrity of data in cloud periodically. During auditing, an auditor does not reveal the information of the user to others. A method that uses the keyed Hash Message Authentication Code (HMAC) with the Homomorphic encryption to enhance the security of TPA.
Keywords: TPA, HMAC, Homomorphic encryption, Security.
Keywords: TPA, HMAC, Homomorphic encryption, Security.
Abstract
Survey of Web Content Management System, a Collaborative Environment for Online Community
Abstract: The aim of the present paper is to analyze the main models of collaboration and the use of a Web CMS, in order to develop an online community. Taking into consideration the multitude of the existing Web CMSs on the market and their diverse functionalities, we conducted a prospective study that tests the development trends in the field, with the view of finding out which are the most important Web CMSs in practice, and which are the most important func- tionalities they have to possess, in order to develop a collaborative online community. This study can help the entry-level web developers to get an overview of the most popular Web CMSs, and their functionalities.
Keywords: Collaboration, Content Management, Web content management systems, Content strategy, Document Management.
Keywords: Collaboration, Content Management, Web content management systems, Content strategy, Document Management.
Abstract
Proof by Demonstration of the Temporal Change in Concepts in Conceptual Knowledge
Abstract: Concepts are the atomic ingredients of Conceptual Knowledge. Within the ambit of computer science and information theory, conceptual knowledge contains the understanding of the world of data that is being processed. Possessing a knowhow of concepts helps in machine learning and computational intelligence. In order to be machine readable, concepts have to be codified. The representation structure of concepts has been studied extensively and the structure has been crucial to the usability of conceptual knowledge. Conceptual Knowledge models the human understanding of the real world. The nature of concepts in the real world is very susceptible to change. This paper demonstrates this changing nature of concepts with a case study and a proof to stress the importance of embracing this change.
Keywords: Concept, Conceptual Knowledge, Temporal Change in Concepts, Change in Concepts
Keywords: Concept, Conceptual Knowledge, Temporal Change in Concepts, Change in Concepts
Abstract
Performance of Ring Based Fully Homomorphic Encryption for securing data in Cloud Computing
Abstract: Cloud Computing is a promising paradigm which has become most recent research due to its ability to reduce the costs associated with computing. Securing data is very important because of the critical nature of cloud computing and the large amounts of compound data it carries . This security gap is bridged by the most popularly used encryption techniques for encrypting the tenuously stored data . Fully Homomorphic Encryption is a good basis to enhance the security measure of untrusted systems or applications that stores and manipulates sensitive data. In this paper, the design and implementation of a Fully Homomorphic Encryption (FHE) scheme based on Ring is reported.
Keywords: Cloud Computing, Homomorphic encryption, Data Security, Data Storage.
Keywords: Cloud Computing, Homomorphic encryption, Data Security, Data Storage.
Abstract
Image Fusion Based On Dtcwt & Pca In Presence Of Noise
Abstract: image fusion is a process of combining relevant information from two or more images into a more informative single image. Image fusion technique improves the quality of the image. In this paper, the fusion is done using dual tree complex wavelet transform and principal component analysis. The images affected by noise are taken as the set of input images. The results show the proposed algorithm has better visual quality. The fusion technique is very much useful in diagnosing and treating cancer in medical fields. This paper is based on fusion of input noisy images using Dual Tree Complex Wavelet Transform and applying Principal Component Analysis (PCA) for fused image such that better image quality is obtained and estimated using various Image quality Metrics. The noise is removed from image and better PSNR values are also obtained.
Keywords: Image fusion, Dual tree complex wavelet transform, Principal component analysis, Image quality metrics
Keywords: Image fusion, Dual tree complex wavelet transform, Principal component analysis, Image quality metrics
Abstract
An Overview of Node Auto-configuration Protocols in Mobile Ad hoc Network
Abstract: Mobile Ad hoc Network (MANET) is a self organizing network in which mobile devices communicates with each other via wireless links. For unicast communication each node must have a unique IP Address. But In MANET, there is no any fixed infrastructure unlike in wired network. Mobile devices are free to join or leave the network. There is no any central server to assign unique IP Address to each node. Therefore, a protocol is needed which will assign unique IP Address to each node in a dynamic way. In this paper we will discuss different Node Auto-configuration protocols which will assign unique IP Address to each node.
Keywords: Mobile Ad hoc network, MANET, Rabin Cryptosystem, Node Auto-configuration, FAP, MANETConf, Authenticated Dynamic IP Configuration Scheme.
Keywords: Mobile Ad hoc network, MANET, Rabin Cryptosystem, Node Auto-configuration, FAP, MANETConf, Authenticated Dynamic IP Configuration Scheme.
Abstract
A Generic Pattern Matching Approach for Multiple Events
Abstract: Data mining is a highly evolving and developing frontier in data and information systems and their applications. Its a concept of extracting data from large data set and converts into understandable format. Automated prospective analysis and knowledge driven decisions make data more proactive. Pattern matching used for control flow of patterns, checks similarity between already stored templates with input template. Patterns are procedure for converting input data. The existing system pay-as-you-go style matching technique has poor discriminative feature were this technique depend mainly on time. So it will affect 1: n matching for events and when matching events with heterogeneous data it may result in duplication of data. In proposed system, as Generic Pattern Matching technique implies to validate similarity between two events. Number of events internally stores and maintains all the characteristics of events. Patterns are compared with all stored patterns with in the data set. Pattern matching enhances several events to improve the performance and efficiency of events. This is independent of time so 1 : n issue can be sorted out. It will also retrieve exact result without any approximate value.
Keywords: Pattern Matching, Generic Pattern Matching, Patterns, Automated prospective analysis.
Keywords: Pattern Matching, Generic Pattern Matching, Patterns, Automated prospective analysis.
Abstract
Remotedroid
Abstract: Nowadays phones are used worldwide and provide many applications which were earlier provided only by desktops or laptops. These smart phones have brought a big change in the technical field. The most popular design earlier used is VNC(Virtual Networking Computing) but here we are using more generalized architecture which is applicable for android operating systems. And here we are making an app for Android mobile phone named Remotedroid which must be installed on our phone. Here we are Provide various solution for different problem like, if we have forgotten our android phone at home, and also in case if we have lost the phone, and in case you have misplaced your phone at home and had kept it in silent mode then ringing the phone to find it, is not an option. Remotely administer your android phone: RINGER – Turn on the ringer. CONTACT – Fetch the contact number of a person from the address book. MESSAGES – Retrieve the text messages received on your phone. IMEI – Get the IMEI number of your phone. SILENT – Turn off the phone’s ringer. DELETE – Delete the data stored on the phone.
Keywords: Mobile computing; Compiler, Android Development tool kit.
Keywords: Mobile computing; Compiler, Android Development tool kit.
Abstract
The Role of Telemedicine using computer communication network, Internet and Healthcare Management support in 2014 India
Abstract: All the small scale hospitals can be implemented telemedicine service using 3G internet , computer
paper explains the role of Emergency Telemedicine service using internet, computer communication with Healthcare management. The ISRO supports Telemedicine service using 3G internet in rural area and development of telemedicine service fulfilment 95% using computer communication network. In development of 22% in Telemedicine service in 2000 using 2G internet service developed up to 95% by using 3G internet in 2014
Keywords: Telemedicine service, 3G internet , computer and mobile communication network , Information Technology, Care Transformation, Performance Improvement, Strategy
paper explains the role of Emergency Telemedicine service using internet, computer communication with Healthcare management. The ISRO supports Telemedicine service using 3G internet in rural area and development of telemedicine service fulfilment 95% using computer communication network. In development of 22% in Telemedicine service in 2000 using 2G internet service developed up to 95% by using 3G internet in 2014
Keywords: Telemedicine service, 3G internet , computer and mobile communication network , Information Technology, Care Transformation, Performance Improvement, Strategy
Abstract
A Survey on k-Anonymity Generalization Algorithms
Abstract: The issue of data privacy is at the forefront of everybody’s mind. Media commercials advertise security merchandise and news programs oftentimes describe the most recent knowledge breach. Public perception aside, any organization incorporates a legal obligation to make sure that the privacy of their workers is protected. Laws compel some knowledge from being employed for secondary reasons aside from the aim that it absolutely was originally collected. We can’t collect data on the health of your workers. Also, we can’t share sure knowledge with third parties. Within the world of cloud computing, we currently have a third party operational and managing our infrastructure. By it’s terribly nature, that supplier can have access to our data. Hence data anonymity techniques are used to share the public data such as medical records by preserving the data privacy. In this paper we discuss on various the k-anonymity generalization algorithms used for privacy preserving.
Keywords: anonymity, data privacy, generalization, privacy preservation, data publishing
Keywords: anonymity, data privacy, generalization, privacy preservation, data publishing
Abstract
A Comprehensive Survey on Image Search Using Binary Hash Codes
Abstract: Effective content based Image Search based on hash codes is a very acceptable for efficient similarity search, due to its query time and storage efficiency. In binary hashing technique, first the high-dimensional visual features are extracted from images, then these extracted features are embedded into Hamming space and the distance or similarity of two points are approximately calculated by the Hamming distance between their binary codes. Though the Hamming distance calculation is efficient in practice, a query result is ambiguous as it returns multiple results sharing the same Hamming distance and poses a critical issue for similarity search where ranking is important. This paper presents a survey of various states-of-the-art- hashing techniques that allows faster visual similarity search in hamming space. And also discussed concept of weighted Hamming distance, which improve ranking performance of binary hash code so that result images can be ranked at fined grained level.
Keywords: Feature Extraction, Approximate Nearest Neighbour Search, Binary Hash Codes, Weighted Hamming Distance.
Keywords: Feature Extraction, Approximate Nearest Neighbour Search, Binary Hash Codes, Weighted Hamming Distance.
Abstract
High Speed and Low Power Double-Tail Comparator using Switching Transistor
Abstract: The high speed conversions are needed in the faster analog -to-digital converters. The accuracy of comparators is defined by its power consumption and speed. Many high speed ADCs, such as flash ADCs, require High speed, Low power comparators with small chip area. Conventional dynamic latched comparators suffer from low supply voltages especially when threshold voltage of the devices is not scaled at the same pace as the supply voltages of the modern CMOS process. The proposed comparator System has lower input-referred latch offset voltage and higher load drivability than the conventional dynamic latched comparators. In the dynamic Double tail comparator the simulation in a CMOS technology. In the Proposed dynamic Double tail comparator System both the power consumption and delay time will be significantly reduced. The maximum clock frequency of the proposed comparator can be reduced at modified supply voltages.
Keywords: CMOS, ADC, double tail, comparator.
Keywords: CMOS, ADC, double tail, comparator.
Abstract
A Tool for String Transformation Enabling Flexibility in Real World Applications
Abstract: String is a sequence of characters whose manipulations have many real world utilities. Especially transforming a string from given input to various outputs has very important use in applications like bioinformatics, information retrieval, data mining and natural language processing. When an input string is given, the output has to be generated as multiple strings that can be used for solving problems such as query reformulation, correction of errors and so on. Recently Wang et al. proposed a probabilistic approach to string transformation. They proposed an algorithm for obtaining top-k candidates, a training model and log linear model for achieving string transformation which proved to be efficient and accurate. In this paper, we built an application, a prototype that can demonstrate the concept of string transformation. The experimental results reveal that the tool is useful in string transformation which can be used further in applications pertaining to error correction and query reformulation in online web search.
Keywords: String transformation, error correction, and query reformulation
Keywords: String transformation, error correction, and query reformulation
Abstract
Design and Implementation of Phased Array Antenna using Advanced Design System
Abstract: Phased arrays are a form of steerable antenna whose performance motivates the development of alternative structures which allow us to obtain simplified designs as powerful as the original approach but significantly cheaper. A System based design of phased array antenna using Advanced Design System is employed in ISM (The Industrial, Scientific and Medical) frequency range. Array antennas are used extensively in remote sensing applications, where a highly directive beam is needed to scan a particular area of interest on the surface of the earth. The study focuses on the design of different microstrip patch antenna arrays to be used in environmental sensing applications in the ISM frequency bands. Arrays of microstrip patches are easily printed on substrates using photolithography techniques and can be mass produced at cheap costs. In this paper we have implemented two types of array model using rectangular patch. Specifically, 1X2 and 2X2. This study includes design of feedback network, impedance matching, and return loss calculation. The substrate used is FR4 with dielectric constant of 4.6 and thickness about 1.6mm. The feed network is designed and optimized using ADS 2013 and then integrated with the array.
Keywords: Antenna, Array, Return Loss, Spacing, ADS (Advanced Design System)
Keywords: Antenna, Array, Return Loss, Spacing, ADS (Advanced Design System)
Abstract
Literature Review on Transferring Video Using Watermark
Abstract: The rapid growth of network distributions of images and video, there is a need for copyright protection against piracy. For this purpose we are using video watermarking. Different digital watermarking schemes have been proposed to address this issue of ownership identification. Digital watermarking is a process by which user specified signal (Watermark) is hidden or embedded into another signal (Video Signal) by the watermark embedding process. Afterwards the recovery of the watermark is achieved with the help of the watermark extraction process. The video watermark is robust against the attack of frame dropping, averaging and statistical analysis. It leads to broad curiosity in multimedia security and multimedia copyright protection. The most important issue in video watermarking is the invisibility of the watermark and the resilience of watermarking to attacks. Watermarking techniques are classified into three categories. They are Spatial Domain Method (SDM), Transform Domain Method (TDM) and Compressed Domain Method (CDM). Here explained about to transform domain method. This method used the discrete cosine transform (DCT), Discrete Fourier Transform (DFT) and Discrete Wavelet Transform (DWT) for watermark embedding.DWT are more popularity due to their spatial localization, frequency spread etc.. But DCT watermarking was to human perception model to modify low coefficients of DCT blocks. It has a larger embedding capacity and robustness. This technique provides better results with high accuracy.
Keywords: Watermarking, Discrete Cosine Transform, Watermark Extraction Process, Copyright
Keywords: Watermarking, Discrete Cosine Transform, Watermark Extraction Process, Copyright
Abstract
Genetic Algorithm based Solution Model for Multi-Depot Vehicle Routing Problem with Time Windows
Abstract: We present a novel Ordered Distance Vector (ODV) based Equi-begin with Variable-diversity (EV) Technique for the exact solution of a variation of the vehicle routing problem with time windows in which the transportation fleet is made by vehicles with different capacities and fixed costs, based on different depots. The Multi- Depot Vehicle Routing Problem with Time Windows (MDVRPTW) is a generalization of the standard Vehicle Routing Problem (VRP). The VRPTW is NP-Complete. The MDVRPTW problem is addressed using an efficient Genetic Algorithm (GA). Genetic algorithm is a powerful optimization technique to solve NP-Complete problems. In GA different initial population seeding techniques were used to find out the performance of an individual. In this paper, we are analyzing the performance of Gene Bank technique with a proposed novel Ordered Distance Vector (ODV) based EV Technique in terms of convergence rate (%), quality solution and convergence diversity. Different authors provided different bench mark instances for MDVRPTW in neo research group. In order to compare the effectiveness and performance of the proposed population seeding technique, we are using Cordeau‟s benchmark instances; it contains 20 different instances of MDVRPTW obtained from VRPLIB were experimented using MATLAB software.
Keywords: Multi-Depot Vehicle Routing Problem with Time Windows, ODV-EV Technique, Convergence, Performance, Diversity, Genetic algorithm, VRPLIB, MATLAB
Keywords: Multi-Depot Vehicle Routing Problem with Time Windows, ODV-EV Technique, Convergence, Performance, Diversity, Genetic algorithm, VRPLIB, MATLAB
Abstract
A Review on Basics in Web Mining
Abstract: Today World Wide Web (WWW) is growing into eternity and it has massive wealth of information. Ordinary people also use the web to retrieve the needed and related semantic information. So that, mining the web is very essential in order to retrieve the necessary information for any user. Web mining can be categorised into the following, namely, Web Content Mining (WCM), Web Structure Mining (WSM) and Web Usage Mining (WUM). These categories can be reviewed by this paper. The two link analysis algorithms namely PageRank and Hyperlink Induced Topic Search are also discussed in the Web Structure Mining.
Keywords: Web mining, Web content, Web structure, Web usage, PageRank, Hyperlink Induced Topic Search.
Keywords: Web mining, Web content, Web structure, Web usage, PageRank, Hyperlink Induced Topic Search.
Abstract
A Survey on Secure Packet Transmission against Vampire Attack in Wireless Ad-hoc Sensor Networks
Abstract: A wireless sensor network is a class of transducers which is used to monitor and record the conditions of a wireless environment. Denial of service is one of the common attacks in the wireless sensor network. Vampire attack is a kind of denial of service which consumes energy that leads to draining battery-life of the nodes in the network. Since the nodes are battery powered, the network lifetime is minimized. So communication between nodes cannot be made properly and also the packet does not reach the destination during transmission. This attack can be done by either extending the path of nodes or it may form a loop in packet transmission route. In this paper, we present various algorithms on secure packet transmission against vampire attack. This survey gives different algorithms to overcome the vampire attack and provide secure packet transmission in wireless ad-hoc sensor networks.
Keywords: Wireless sensor networks, Wireless ad-hoc networks, Denial of service, Vampire attack.
Keywords: Wireless sensor networks, Wireless ad-hoc networks, Denial of service, Vampire attack.
Abstract
Real Time Based Smart Vehicle Monitoring and Alert Using GSM
Abstract: Human life is more valuable than anything else, timely help is more important than lending a helping hand. In during accidents, people lose their lives due to delay of proper medical facilities at the right time. This proposed system senses any accident in the vehicle and intimates pre-programmed numbers like the owner of the vehicle, ambulance, police etc. The GSM technology is used to send the position of the vehicle as a SMS to those numbers and the position of the vehicle can be obtained by the owner of the vehicle and also only car meet with in accident but human life is safe so there is no needed emergency at the place in proposed method, we are using small switching function(reset) for disconnecting the signal and when a car meets an accident ,wait for some mines and immediately the car and the GPS co-ordinate of the location are messaged to the nearby hospitals ,thereby ensuring timely help to the needy .
Keywords: ARM processor, GSM, GPS.
Keywords: ARM processor, GSM, GPS.
Abstract
JPEG Image Compression Using Fast 2-D DCT Technique
Abstract: Image Compression is a method, which reduces the amount of space required to store the image. The Discrete Cosine Transform (DCT) is a method that transforms a signal or image from spatial domain to frequency domain. This technique is widely used in image compression. In this paper, we present a lossless DCT compression technique for two-dimensional images. In several scenarios, the utilization of the presented technique for image compression results in comparable or better performance, when compared to the different modes of the lossless JPEG standard.
Keywords: Image Compression, JPEG, RLE, discrete cosine transform, 2-D DCT.
Keywords: Image Compression, JPEG, RLE, discrete cosine transform, 2-D DCT.
Abstract
Literature Review On Providing Services In Emergency Cases
Abstract: A number of studies been done on location based services (LBS) due to its wide range of potential Applications.LBS can be used to provide useful information such as tourism guide and road side assistance To users according to the current locations of them.It is consisted of mobile device, communication networks ,service provider and data provider. The enormous trend of crimes happening in country shows the need for fireman and police officers to get reports of emergency cases as fast as it could to inable to act effectively The finding of review found that international practice indicate that many jurisdictions using similar KPIs (Key performance indicator ) of an 8 minutes(7 minutes and 59 seconds ) respond time for the first responders To attend to a life-threatening incident.Actual response time may vary due to the local road charactristicks, Traffic lights, conjection, road networks, weather conditions, and visibility.
Keywords: Push and pull, emergency finder, pull LBS model, mobile LBS, Location Based Services
Keywords: Push and pull, emergency finder, pull LBS model, mobile LBS, Location Based Services
Abstract
Cancer Classification using Hybrid Fast Particle Swarm Optimization with Backpropagation Neural Network
Abstract: Cancer any type of malignant growth or tumor, caused by abnormal and uncontrolled cell division: it may spread through the lymphatic system or blood stream to other parts of the body .Cancer classification is known to have the keys for addressing the problems based on cancer diagnosis and drug discovery. The proposed method of DNA microarray technique has made continuous processing thousands of gene expressions possible. Using gene expression data, the researchers have started the performance to explore the possibilities of cancer classification. The various methods have been introduced in recent years with promising results. But there are still a lot of problem which need to be addressed and understood. The performance of combining the genetic algorithm and Hybrid Fast PSO-BPN method is used to solve the optimization problems. Hybrid Fast PSO-BPN method is used to improve the accuracy and better convergence rate of genetic algorithm and this method is better for local search. This proposed method is used to overcome from the problem of computational difficulties occur by ill-condition of the square penalty function. The experimental result shows that this proposed method is better in accurate result with less execution time.
Keywords: Microarray Gene Expression Data, Feature Selection, Gene Ranking, Genetic Algorithm, and Hybrid Fast PSO-BPN.
Keywords: Microarray Gene Expression Data, Feature Selection, Gene Ranking, Genetic Algorithm, and Hybrid Fast PSO-BPN.
Abstract
How to Measure Business Value of Information Systems? Practical Implications of a Literature Review
Abstract: In 2014 IT spending reaches 3,75 billion USD according to Gartner’s forecast, while this years Standish Group report shows that 31% of projects will be cancelled before completion. These facts and the tightening of corporate budgets highlight the importance of IT valuation ex ante and ex post as well. This paper presents an overview of normative research on IT business valuation, while trying to stress practical conclusions supporting future management practice. Research suggests that the concurrent use of the discounted cash flow and real option methodologies can effectively support decisions as they can mutually offset each other’s weaknesses, i.e. DCF’s inflexibility and lack of strategic focus and ROA’s complexity and lack of communicability. Also we conclude that the principal function of ex ante IT valuation lies not so much in determining an exact value as in identifying the key factors of value creation, thus support supporting management during implementation and use.
Keywords: IT value assessment, IT business value, return on investment, discounted cash-flow valuation, real option valuation, intangible valuation
Keywords: IT value assessment, IT business value, return on investment, discounted cash-flow valuation, real option valuation, intangible valuation
Abstract
Design of Boostable Repeater for VLSI Interconnects
Abstract: In the era of Nanometer technology variation of process aging of circuits cause vulnerable to establish circuits with the characteristics of adapting themselves and thereby a chance to compensate changes with the proposed one. Aging of circuitry and variations in process are main problems to analyze the efficiency of power circuit interconnects as a adaptability of power requirements must be assigned to drastic timing variations. The allocated design time implies uniform consumption of power on several fabricated chips, even of many circuit instances do not have considerable changes. This proposed design produces an efficient approach for power to tolerance variations. Hence it uses only power when the variation circumstances of a chip circuit instance are being harmful. The proposed is an effective work towards adaptation of power supply voltage for changing resilience in VLSI chips. This proposed is a repetition based boostable design that can unanimously raise its internal potential rail to increase circuit switching speed. This Modality can be either ON/OFF to compatible power fluctuations. This repetition based boostable design enhances fine scaling voltage adaptation with voltage regulators. Since inter connections of a circuit is a widely available cause in chip performance and several repeaters are provided an IC designs, this repetition based boostable circuit has large number of tips to improve system performance.
Keywords: Interconnects, Process variations, switching time.
Keywords: Interconnects, Process variations, switching time.
Abstract
A Simulation Study on Scalable Key Management Scheme for WSN
Abstract: WSN is sensitive to attacks as it is resource constrained. Network scalability is one of the concerns with respect to-secure key management schemes. Recently Bechkit et al. proposed a key pre-distribution scheme for WSN which is scalable and provides secure connectivity among nodes in WSN. They used unital design theory for key pre- distribution. Network connectivity, network resiliency, network scalability and storage overhead were the parameters used for the experiments. Influenced by those techniques, in this paper we build a prototype application, a custom simulator that demonstrates the proof of concept. The simulation involves the transmission mechanisms at sender, receiver besides the communication visualization as part of routing process. We made experiments with simulations. Our empirical study reveals that the proposed application is able to demonstrate the secure key pre-distribution process. In future it can be used to implement key pre-distribution scheme in the real world WSN applications.
Keywords: Wireless Sensor Network, security, key pre-distribution
Keywords: Wireless Sensor Network, security, key pre-distribution
Abstract
A Simulation Study of Outsourcing of Audit Service for Data Integrity in Cloud Computing
Abstract: Cloud computing technology enables data owners to outsource data and relieve from the burden of maintaining computing resources. This is possible as cloud provides platform independent, location independent, scalable and low-cost storage services. With virtualization technology, the cloud computing is made affordable. However, when data owners do not have physical possession of data, they need rely on security of cloud service providers completely. Integrity of their data is an important concern. Audit services that can ensure data integrity are essential. Many techniques came into existence in the recent past. Recently Zhu et al. presented Provable Data Possession (PDP) based interactive protocol for ensuring integrity of outsourced data. Based on this technique, in this paper we built a prototype application that demonstrates the proof of concept. The proposed application simulates the cloud environment where the audit service is provided for data integrity. The empirical results reveal that the application provides secure access to cloud services and provide data integrity.
Keywords: Security, cloud storage, interactive audit service
Keywords: Security, cloud storage, interactive audit service
Abstract
Survey on Automated Intrusion Response System Using Game Theory
Abstract: With the increasing number of network technology, intruders are also rationally increased. To provide the security to the network from the intruders is one of the vital one, this survey presents Intrusion Response System to handle the intruders by request and response process by using Game theory. This survey provides a better understanding of the different research approaches by applying game theory for the Automated Intrusion Response System (AIRS). It focuses on fictitious play, fuzzy game, and zero-sum game for automatic response system to the intruders. This survey helps to the researchers in various fields to develop game-theoretic solutions in current and emerging security problems in network security.
Keywords: Network Security, Decision Making, Automatic Intrusion Response System and Game Theory.
Keywords: Network Security, Decision Making, Automatic Intrusion Response System and Game Theory.
Abstract
Analysis of Query Using Join and Semi-join
Abstract: Database is the collection of files or table and Database Management System is used to manage the overall activities of the database. We have two approaches for storing and managing database namely Centralised Database management system and Distributed Database management system. Query Processing and its optimization is one of the major key areas of Distributed Database Systems. Query optimization is much more difficult in Distributed Database as compared to the Centralised Database System. This literature review paper is based in the query optimization in Distributed Database System. It mainly focused on to analyse the performance and behaviour of the use of semi-joins and joins. Various factors are considered like CPU cost, I/O cost, Total Cost, Response time and Total time etc. Minimizing the amount of data transmission is important to reduce the query processing cost. To minimize this communication cost, the exhaustive enumerative technique has used to bring dynamism in determining the sub operations (join or semi join) to various sites.
Keywords: OSP, semi join, distributed database, enumerative
Keywords: OSP, semi join, distributed database, enumerative
Abstract
Enhanced routing performance and overhead in Mobile Ad-hoc network for big data Transmission in Telemedicine using computer communication network
Abstract: Due to high mobility of nodes in mobile ad hoc networks (MANETs), there exist frequent link breakages which lead to frequent path failures and route discoveries. The overhead of a route discovery cannot be neglected. In a route discovery, broadcasting is a fundamental and effective data dissemination mechanism, where a mobile node blindly rebroadcasts the first received route request packets unless it has a route to the destination, and thus it causes the broadcast storm problem. [1 to 3]. In this paper, we propose a neighbor coverage-based probabilistic rebroadcast protocol for reducing routing overhead in MANETs. In order to effectively exploit the neighbor coverage knowledge, we propose a novel rebroadcast delay to determine the rebroadcast order, and then we can obtain the more accurate additional coverage ratio by sensing neighbor coverage knowledge.[4] We also define a connectivity factor to provide the node density adaptation. By combining the additional coverage ratio and connectivity factor, we set a reasonable rebroadcast probability. Our approach combines the advantages of the neighbor coverage knowledge and the probabilistic mechanism, which can significantly decrease the number of retransmissions so as to reduce the routing overhead, and can also improve the routing performance.
Keywords: MANETS, Telemedicine, neighbour coverage , network connectivity, computer communication network, probabilistic rebroadcast , Data transmission, routing overhead.
Keywords: MANETS, Telemedicine, neighbour coverage , network connectivity, computer communication network, probabilistic rebroadcast , Data transmission, routing overhead.
Abstract
Study on Sinkhole Attack Detection in Wireless AdHoc Networks
Abstract: Wireless ad hoc network is a collection of wireless mobile nodes that dynamically self-organize in arbitrary and temporary network topologies. As compared to conventional network, wireless ad hoc network are more vulnerable to the security attacks. The nature and structure of wireless ad hoc network makes it very attractive to attackers, because there is no fixed infrastructure and administrative approach in it. “Sinkhole attack” is one of the severe attacks in this type of network; this makes trustable nodes to malicious nodes that result in loss of secure information. This paper focuses on sinkhole attacks on routing protocols such as DSR, AODV. To overcome the problems occur due to sinkhole we discuss about Security-aware routing (SAR) which helps to reduce the impact of such attack.
Keywords: DSR, AODV, SAR, Sinkhole attack, geographic routing, MANET.
Keywords: DSR, AODV, SAR, Sinkhole attack, geographic routing, MANET.
Abstract
Automated Attendance Monitoring and Personal Intelligent system
Abstract: In today’s world, a paper based approach is followed for marking attendance, where the students sign on the attendance sheets. This data is then manually entered into the system. Managing the attendance of the students during lectures is a difficult task and it becomes more difficult during the report generation phase and manual computation produces errors and also wastes a lot of time. For this reason, the development of Automated Attendance Monitoring System (AMS) using android platform is proposed. Additionally, implementation of an intelligent system which will interact with users and provide environment where chatbot will interact to provide dedicated chat. So, user can access database using internet enabled Smartphone to solve his queries and get desired output with voice chat.
Keywords: Attendance Monitoring System (AMS), android platform, marking attendance on one click, user authentication, database, report generation, Interactive System.
Keywords: Attendance Monitoring System (AMS), android platform, marking attendance on one click, user authentication, database, report generation, Interactive System.
Abstract
Tutorial Review on Image Hiding
Abstract: In the world of digitalization, security of image documents is bigger challenge particularly in era of image processing and analysing. Fast security system is most required in many applications like uploading private profile image, medical imaging system, and military database. And one of the ways to get higher security is encryption. Encryption is technique which convert original image to another image that is hard to understand and to keep the image confidential between users, in other word, it is essential that nobody could get to know the content without a key for decryption. In this paper, we survey many different encryption techniques through which we can easily hide or transfer our important document.
Keywords: Digital image Processing, image encryption, encryption key, image decryption
Keywords: Digital image Processing, image encryption, encryption key, image decryption
Abstract
An Efficient Routing Protocol for Connecting Vehicular Networks to the Internet
Abstract: Technological advancement has continued to grow exponentially threatens to reach greater heights in the next few years. The internet and the different forms of communication have improved the level of technological advancement. Vehicle Ad Hoc Network (VENET) is a new concept in the technological world that ties to connect inner-vehicle communication through cellular and wireless technology in order to improve safety along the roads. This technology offers a variety of application that facilitates road safety. The internet has grown and is used in most industries and it plays a very crucial role in controlling traffic in the busy city centers. With this technology, the drivers expect to face a number of obstacles and limitations and therefore the objective of the paper if to discuss the various challenges faced with the use of the different types of advanced technologies.
Keywords: Vehicle AdHoc Network (VENET)
Keywords: Vehicle AdHoc Network (VENET)