VOLUME 7, ISSUE 8, AUGUST 2018

Abstract: In formal semantics of natural languages, lexical items are considered to have types. For example, Euclid’s Elements is of type Book or of type e (i.e. individuals). Whether a given type assignment is universal, that is whether the type assignment works in all felicitous contexts or not affords four possible answers. Either type assignments are universal or not, and then if they are, either they have a complex structure which accommodates all senses of the corresponding lexical items, or they are atomic types meaning that when the context changes, we have a different lexical entry. If the types are not universal, then the family of types assigned to a lexical item are either systematically related or not. If the notion that lexical items have types has an objective reality, then only one of these four possibilities is real. In this paper, we explore these four possibilities and examine some of the main approaches in the literature in view of these four categories. This categorization aims at giving a big picture of the issue of type-shifting, this time shaped around a different characterization; we want to see how the approaches are similar or different in their essential visions toward the phenomena of type-shifting.

Keywords: Euclid’s Elements, Accommodates All Senses, Phenomena Of Type-Shifting, Lexical items, Hypothesis

Abstract: Genetic algorithm and neural system based strategies are intense technique for taking care of genuine issues and has been generally considered for its applications in territories of picture pressure. For picture compression.ga based learning for neural system is experiencing condemnation of moderate union and low quality of pressure. Neural systems for tuning more often than not have a settled structure. The quantity of associations must be sufficiently huge to fit a given application. This may cause the neural system structure to be pointlessly intricate and increment the usage cost. The present work proposes a neural system with switches. By doing this, the proposed neural system can learn both the information yield connections of an application and the system structure. The trial results demonstrate that the method performed productively then the calculation variant without switches.

Keywords: Image Processing, Image Compression, Genetic Algorithm, Switches

Abstract: This paper emphasis on Data Mining techniques/methods and text mining concepts. Data Mining can be considered as a procedure to excerpt consequential information or patterns out of a very gigantic volume of data. Knowledge is also excerpted out of such extensive batch of data as well. Data mining develops imperative relationship among variables that are saved in large data set or data warehouse. This paper provides useful information regarding the techniques/methods, and applications of data mining in various fields making the businesses to give better results; including some basic concepts of text based mining.

Keywords: Data mining Techniques, Association Rule, Classification, Data mining, Knowledge discovery, Data mining application, Text mining.

Abstract: The problem is considered under a global eavesdropper who analyses low level RF transmission attributes, such as the number of transmitted packets, inter-packet times, and traffic directionality, to infer event location, its occurrence time, and the sink location. We devise a general traffic analysis method for inferring contextual information by correlating transmission times with eavesdropping locations. we propose resource-efficient traffic normalization schemes. In comparison to the state-of-the-art, our methods reduce the communication overhead by more than 50%; and the end-to end delay by more than 30%.

Keywords: Wireless Sensor Networks, Sensor Networks, Location Monitoring, eavesdropping.

Abstract: Block Chain (BC), the technology behind the Bitcoin crypto-currency system. Blockchain helps Build Trusted, Powerful and Transparent Process with the potential to disrupt Intermediaries, Third parties & Expensive processes. Proof-of-Work (PoW), Proof of Stake (PoS), Proof of Authority (PoA), consensus algorithm plays a vital role in ensuring BC security by maintaining a digital ledger of transactions, which is considered to be incorruptible. Firstly, we explore top crypto currencies after that we will explore blockchain and mining concept. In further we will be exploring Ethereum blockchain solidity programming more and make DAPPs on Ethereum blockchain network.

Keywords: Crypto Currency, Block Chain, Ethereum, DAPPs

Abstract: Nowadays women are facing many problems like rape, molestation, kidnapping etc. This uniquely designed system will help to reduce crime rates against women. It has been prioritized to give security to women especially to the women in urban areas as they can face problems while travelling the system is not so expensive thus many women can benefit themselves.

Keywords: Arduino, SMS, GPS & GSM

Abstract: In this paper it is listed and explained about various components of system programming and there functions. It tells how the resources are made available to the users to execute the program effectively. System programming solves the problem of central processors which minimize the human efforts. System programming provides various system software. It is basically the conversion of high level programming into low level programming i.e. machine code.

Keywords: System Programming, SPR, Compiler, Assembler, Lex, Yacc

Abstract: In this world, protecting our information has become an important part. Protecting our information means to protect it from an unauthorized access. This paper provides an excellent and easier way to protect your data from unauthorized access. Various viruses like Trojan horses, worms, malware and attacks like active and passive attack can be avoided by this system. We can also secure our system by using different security concepts i.e. confidentiality, integrity and availability. Nowadays each and every information is stored on electronic systems so this system provides easier way to secure information.

Keywords: Confidential Data, Data Security, Hackers, Attacks

Keywords: Software Metrics, Object Oriented Programming, Parameters, Quality Estimation

Abstract: In this paper, a CMOS based low power voltage reference generator is optimized in 32nm technology. Circuit’s temperature dependencies and threshold voltage dependencies is studied and improved to give higher reference voltage generated in low power applications. The simulation are performed on Synopsys HSPICE software. Simulation results shows higher reference voltage is obtained with low power consideration and under different temperatures giving minimal variations over temperatures in the voltage reference output.

Keywords: Voltage Reference, 32nm MOSFET, Analog Circuit, 32nm FinFET

Abstract: In multi-instance learning, the training set comprises labelled bags that are composed of unlabeled instances, and the task is to predict the labels of unseen bags. The Multiple instance learning (MIL) is a form of weakly supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag. The supervised learning where training instances are arranged in sets, called bags, and a label is provided for the entire bag. This formulation is gaining interest because it naturally fits various problems and allows to leverage weakly labelled data. However, learning from bags raises important challenges that are unique to MIL. This paper provides a complete survey of the characteristics which define and distinguish the types of MIL problems. Until now, these problem characteristics have not been properly identified and described. There are some types learning generally in ML algorithms like, the types of data distribution, the ambiguity of instance labels, and the task to be performed. Some important issues to be addressed in this paper. Finally delivers insight on how the problem characteristics affect MIL algorithms, recommendations for future benchmarking.

Keywords: Multiple instance learning, weakly labelled data, ambiguity of instance labels

Abstract: The birth of the field of Artificial Intelligence was primarily due to the curiosity of researchers and inventors to create a perfect replica of the human mind. This research paper aims to provide better understanding of Artificial Intelligence and the terms related to it [7], providing an unique view to the vast technology under our nose left unnoticed by most of the users. Artificial intelligence is used to solve the logical problem ,similar to the human intelligence although the AI can solve the problems even human are not able to because it is not bind by many of the problem human faces. AI solves the problems. It also the subfield of computer science, now a day’s becoming popular in power station. AI might be Catalyst [6].

Keywords: Artificial Intelligence, Machine Language, Deep Learning

Abstract: An operating system is an interface between the hardware and user. It has simplified the usage of machine in every technological aspect. In this the evolution of the operating system has been explained such as Batch Processing System, Multiprogramming System, Multitasking System, Time Sharing System and Desktop System. In this we have also explained the detailed working of each and every type of Operating system over the period of time. In this we have also listed and explained the type of view i.e. User view and System view.

Keywords: Operating system, Mobile operating system, base of system translator, user view, system view

Abstract: Principal Component Analysis (PCA) is a multivariate procedure that investigates a data slab in which clarifications are designated by numerous inter-correlated measureable reliant variables. Its objective is to excerpt the imperative evidence from the table, to characterise it as a set of new orthogonal variables called principal components, and to show the outline of resemblance of the clarifications and of the variables as points in maps. The worth of the PCA model can be estimated using cross-validation procedures. Statistically, PCA be contingent upon the Eigen-decomposition of positive semi-definite matrices and upon the singular value decomposition of rectangular matrices. The number of principal components is less than or equivalent to the number of unique variables. It is a way of classifying patterns in data, and conveying the data in such a way as to highpoint their resemblances and modifications. This  is  the  survey  paper  of  the  previous  concept  and  procedures for PCA.

Keywords: Data mining, Principal Component Analysis (PCA)

Abstract: The social media platform is important as a means to spread information, opinions or awareness about real events. Twitter is prominent because of the huge amount of messages on all kinds of topics posted every day. Text classification of Twitter is never a trivial task that can be handled by common natural language processing techniques. There is also no agreement as to the definition of what type of operation will be performed in the event identification and classification of Tweets. Existing methods are difficult to reproduce and compare because they are often focused on certain types of events according to certain assumptions. This approach is in case of distinct nature. Previous work neglects impactful words due to the use of Bag-of-Words model. The contribution is for feature selection, Information Gain (IG) with consideration of adjectives as most impactful feature in POS tagger is used. Similarity Model, Relevance, Specificity & Span of relationship computation is also carried out later. SVM classification approach is implemented to construct positive and negative sentiments terms. Further this trained dataset is used for SVM classification of test dataset. Results show promising improvements.

Keywords: Feature Selection, Information Gain, Support Vector Machine, Sentiment Classification, Sentiment Analysis

Abstract: This paper attempts to showcase the accessibility and availability of a simple Li-Fi system to be used in our everyday life, made from basic equipment at home. It also discusses various parameters such as distance, visibility and angle that affects the Li-Fi communication using a solar panel array. The use of solar cell allows the system to harvest energy along with receiving signal simultaneously. It also highlights the uses of this technology in the future that makes it an exceptional candidate to dominate in the coming era.

Keywords: Solar Panel, Li-Fi, Wireless, LED, Security

Abstract: Quality of Service (QoS) refers to ability of a network to provide improved service to selected network traffic over various underlying technologies including Frame Relay, ATM, Ethernet and 802.1 networks, SONETS and IP-routed networks. The traffic through this network may include data types such as email, file sharing or web traffic.  Other forms of traffic include voice and video. These are considered as sensitive forms of traffic. They often require guaranteed or regulated service. In this paper, we deal in detail with two factors affecting QoS: Congestion and Queuing. Identifying and rectifying the above problems to reduce packet loss, latency and jitter on the network is the errand for the day. Few of the Queuing Algorithms like First in First out (FIFO), Priority Queuing (PQ), Round Robin and Weighted Round Robin (WRR) are explained in brief pictorially.

Keywords: Frame Relay, ATM, Ethernet and 802.1 networks, SONETS and IP-routed networks, Congestion and Queuing, First in First out (FIFO), Priority Queuing (PQ), Round Robin and Weighted Round Robin (WRR).

Abstract: Plagiarism is defined as representing someone else words, thoughts, knowledge, methods, programs etc in our own name. Plagiarism has a wider meaning by paraphrasing someone else text by replacing some data or method in our way is also a plagiarism. It also violates the rule if you don’t mention someone author name when you are copying their data in your own way of representation. The detection techniques are applied by differentiating between variety of languages such as natural and programming language. From the existence of the previous approaches like plagiarism detection technique  and SCAM analysis from the document stream. A further solution to find plagiarism in the given input data, and textual data is required. Here we are using QAP based Function minimization approach. This technique can be used to find document from the stream. Further QAP could enhance the required minimization function.

Keywords: Plagiarism, QAP, LCS, SCAM, Plagiarism Detection Techniques

Abstract: In today's industrious world, the use of ATMs has become common. Visually challenged find it difficult to access ATM using magnetic cards and touch screen displays. The setup in existence uses an Ear phone facility to start transaction by inserting in the jack and plug out to stop the transaction. It is very difficult for them to identify and insert the earphone into the jack and also to locate the machine. To overcome these shortcomings, the ATM is provided with speaker guidance system to reach the ATM and with a handset arrangement for interaction. The initial level of security is the handprint biometric through which the person can access the door. The next level of security involves the voice code detection which verifies the person's voice password with that of pre-recorded code. If the authentication process succeeds, the person is accepted as a valid user. Through pre-recorded instructions received via handset, the visually challenged is able to withdraw or deposit money.

Keywords: Handset, Hand print biometric, Voice code detection, Voice biometric, Authentication

Abstract: Deep learning is used to identify the objects with the help of neural network. It is used to identify various objects in the world. In this, we have explained the process of identifying the objects with the help of various layers. Machine uses different layers to identify the object with the help of hidden layers which is used to train the machine depending upon the database provided to it. The more the database provided to it the more the accurate result the machine will provide.

Keywords: Deep Learning, machine learning, neural network

Abstract: According to NCBI  research journal , oral cancer ranks in the top three of all cancers in India, which accounts for over thirty per cent of all cancers reported in the country and oral cancer control is quickly becoming a global health priority. In these years recently India is a country having a majority of oral cancer patients in comparison to other countries. In a survey it was determined that 12.5 per 1,00,000 people suffer from oral cancer . The major causes of this disease spreading as an epidemic is not hereditary or in born, but the lifestyle that people live over here. Chewing and smoking tobacco and other intoxicant weeds containing harmful strains of carcinogenic pathogens is a hobby over here in India. Both the wealthy and poor class of people have easy access to these intoxicants, over which it seems to be obvious that the government has no strict quality control . Oral cancer and tuberculosis are the 2 major widespread diseases that are blooming over the entire Indian nation. Alcohol also has an involvement in oral cancer to some extent, but tobacco is the major trigger for it. Work is being done in order to find out methods of early detection and treatment of people through routine checkups and surveys organized both by government and non government organizations. Early detection is important because diagnosis of tongue and oral cavity in early stages can help preventing it easily. With the help of predictive models; such as: decision tree model, genetic algorithm, tree boost model and decision tree forest model; early detection and treatment of patients can be done.

Keywords: Data Mining, Oral Cancer, Genetic Algorithm

Abstract: Our paper provides design and implementation of prototype car that is controlled through Smartphone. In this Project mobile phone is used for controlling a prototype car. Android application provides graphical interface to the user. The prototype car consist of two DC motor with motor driver, Bluetooth module, Arduino microcontroller, some wires, wifi camera, led lights, batteries etc. Two motors are used for controlling speed and direction of car and one motor is just a general purpose. Bluetooth module receives signals from android application and sends data to the Arduino microcontroller unit. This Arduino unit operates the received data and sends control signal to DC motor. Android studio software is used for Arduino programming and android application is downloaded from play store. We will use another android phone for wifi camera. 

Keywords: Android Remote control, Advanced Driving version for Car through Android phone with live video streaming

Abstract: The world of wireless sensing element networks is one among the rising and quick growing field within the scientific world. The importance of wireless sensing element networks is because of its huge potential for sensing the elements in the environment. Because of these devices work on battery power and will be placed in hostile environments so commutation between them becomes a difficult task. Thus optimizing the energy of these networks becomes vital. In this paper we tend to propose SM-MODLEACH protocol that could be a extended version of MODLEACH protocol. The activity analysis of chosen protocol within the case of various scenario of affairs are fully reported in this paper. The analysis and experiments show that proposed protocol is economic and sensible and achieves higher performance than the previous approaches.

Keywords: WSN, SM-MODLEACH, Cluster head, cluster member