bluuebunny/crossref_metadata_2025 huggingface dataset:
Comparative Analysis of Various Cloud Technologies
Authors: Akanksha Akanksha , Singh Dr. Gurdev
Published: May 2018

With the increasing prevalence and demand of large scale cloudcomputing environment, a researcher has to draw more attentiontowards the services provided by the CLOUD. As the access tothe server is increasing, centralized and distributed computingarchitecture will produce bottlenecks data which affect thequality of cloud computing services and bring the huge supportto users. In this paper we are going to propose certain vitalaspects such as memory utilization, storage capacity to check theefficiency and performance of various clouds in cloudcomputing environment. This is based upon the static data. Theproposed mechanism enables users to access memories invarious systems depending on the predefined criteria. Selectionmethod for accessing the memory of a resource is properlyintroduced in this paper. Our evaluation results show that theaggregation of various clouds is effective in indicating the betterefficiency and also to reduce network traffic sent over cloudnetworks.
CONCEPTUAL THREE PHASE ITERATIVE MODEL OF KDD
Authors: Bagga Simmi , Singh Dr. G. N.
Published: May 2018

KDD process includes how data is stored and accessed, how andwhat algorithms can apply to large amount of data efficiently,how results can be interpreted and visualized. KDD is theprocess of identifying valid, interesting and understandablepatterns in data. In this paper we will describe conceptual threePhase Iterative Model of KDD. The main layers of this purposedmodel are: Philosophy Layer, Technique Layer and ApplicationLayer. We will also perform the comparison of Tradition KDDModel with Three Phase Iterative Model.
Understanding and Elevating Web Practice Through Web Analytics Final
Authors: Chawla Swati , Singh Dr. Gurdev
Published: May 2018

Web analytics is the measurement, collection, analysis and summarizing of internet data for purposes of understanding and optimizing web usage. To check the web analytics the website IJCT is considered. This paper is the first step to analyze the availability and performability of the site. Availability depicts that for how much time the system is up i.e. check the utilization of the system on which that site works.Â  Performability is the method to analyze each and every module separately and clearly in an efficient manner. Availability and performability collectively check the reliability of the system to ensure the performance measurement of that system. Web analytics is not just a tool for measuring and depicting website traffic but can be used as a tool for business research and market research, as well as a means to check and improve upon the effectiveness and utilization of a web site .The tool used for the web analytics for this site is AWStats. AWStats is an open source Web analytics reporting tool, which used for analyzing the amount of data from Internet services such as web, streaming media, mail and FTP servers .This tool check the performance of the IJCT separately by dividing one month module to days in month, week in month ,hours in month ,contributionÂ  of various countries, traffic generated etc. This paper deal with the securitization of IJCT for January month to indicate how many events and functionality occurs during surfing on this journal by various users on the Web. This critique helps us to identify the throughput of IJCT. Â Here it is clear that users do not actually read: instead, they download and upload the data. A study of different online journals defines that this website scored massive response instead of the short time span. It completely and efficiently elaborate the usage of the IJCT by stating user visited, number of visits,Â  number of hits ,bandwidth and many more.
PERFORMANCE ANALYSIS OF OPEN SOURCE STORAGE CLOUDS IN CLOUD COMPUTING
Authors: Rani shaveta Kumari , Sharma Sangeeta
Published: May 2018

Cloud computing is one of the latest research area that helps in storing the information permanently on the servers and manages the different resources for the requested users to provide on-demand services. In order to create the more usable and economic value based cloud computing, the principles, goals and structure of the cloud engineering is of vital importance. The objective of this study is to analyze the CPU and memory performance of different open source clouds. We will use different open source cloud to measure the different performance metrics like CPU time for downloading and uploading of file, memory usage while downloading and uploading the file, standard deviation of CPU usage and standard deviation of memory usage.
Image Compression Techniques
Authors: Singh Samra Hardeep
Published: May 2018

Digital images required large number of bits to represent them and in their canonical representation, generally contain significant amount of redundancy. Image compression techniques reduce the number of bits required to represent an image by taking advantage of these redundancies.To overcome this redundancy several image compression techniques are discussed in this paper along with their benefits.
Code Comprehending Measure (CCM)
Authors: Singh Gurdev , Singh Satinderjit , Monga Monika
Published: May 2018

Software complexity, accurately, plays a vital role in life cycle of the software. Many metrics have been proposed in the past like LOC, McCabes cyclomatic measure, Halsteads measures and cognitive measures. This paper proposes a new method to measure the software complexity, by not only taking into account the internal structure of the algorithm in terms of the total cognitive weights of the basic control structures but also by quantifying the flow of data between the various basic control structures and data volume factor (variables and  perators) used within basic control structure. The preliminary tests show that this metrics is independent of the existing measures. Comparison with some existing measures has been done to prove the robustness of this new metrics.
A DATA DISSEMINATION MODEL FOR VEHICULAR ADHOC NETWORK
Authors: Garg Anshu , Bansal Prof.(Dr.) Sanjeev
Published: May 2018

Vehicular adhoc network (VANET) is an emerging network which is depend on the communication of data through vehicular network via data pushing. Data pushing in between the vehicles was done by the data pushing communication model. In this paper, we present a formal model of data dissemination in between the vehicles by the mobility of vehicles and describe also the affects of data dissemination and study their characteristics which define the mobility if data dissemination in bidirectional mobility, we also study the data push model in the context of Traffic View, a system that we have implemented to disseminate information about the vehicles on the road. Traffic data could be disseminated using the cars moving on the same direction, cars moving in the opposite direction, or cars moving in both directions.
FOCUSED CRAWLING TECHNIQUES
Authors: Mishra Pankaj
Published: May 2018

The need for more and more specific reply to a web search query has prompted researchers to work on focused web crawling techniques for web spiders. Variety of lexical and link based approaches of focused web crawling are introduced in the paper highlighting important aspects of each.
HYBRID TECHNIQUE FOR SOFTWARE CODE CLONE DETECTION
Authors: Batta Priyanka , Himanshi Miss
Published: May 2018

Software Clone detection is one of the hottest research area that helps in detecting duplicate code from an applications. The research has shown that 5% to 20% of software systems can contain duplicated code that is generated by simply copying the existing program code and pasting with or without minor modifications. Cloning creates problem when a bug is found in one code segment that was copied and pasted at several locations earlier. The objective of this study is to analyze the working of hybrid clone detection technique that design and analyze a hybrid technique for detecting software clone in an application. We will combine metric approach with text base (line of code) technique for the above said reason. A model will be designed to automate the concept of clone detection.
The Impact of UTAUT Model and ICT Theoretical Framework on University Academic Staff: Focus on Adamawa State University, Nigeria.
Authors: David Oye Nathaniel , N. A. Iahad , Ab.Rahim Nor Zairah
Published: May 2018

This paper examined the impact of UTAUT model and ICT theoretical framework on university academicians. The UTAUT model theory was verified using multiple regressions of the four constructs on behavioral intention to accept and use ICT by the Adamawa State University (ADSU) academic staff. The ICT theoretical framework reveals the connectivity between education and the independent variables, use of ICT, ICT infrastructure, staff development and ICT available tools as it brings transformation in education. We have verified the influence of the four UTAUT constructs on the behavioral intention of the university academicians towards the acceptance and use of ICT for teaching and learning. The UTAUT constructs significantly correlated with behavioral intention to use ICT. These are the factors associated with ICT acceptance and usage in Adamawa State University. According to our results Perceived Usefulness (PU) has R2 = .181 and significant with p-value .047(model 1), and Perceived ease of use (PEOU), has R2 = .270, significant with p-vale .000 (model 10). This has answered objective 1, which is to examine the factors associated with ICT acceptance and usage in (ADSU). The study confirms that the most influential UTAUT constructs influencing the behavioral intention of the academic staff to accept and use ICT is Effort expectancy (EE) in (ADSU)(model 10), with R= .519 and R2 = .270 ( Answered Objective 2). This study confirms the validity of the UTAUT model in the field context of a developing countryâ€Ÿs educational system. Knowledge gained from the study is beneficial to both the university academic staff and the ICT policy makers in developing countries.
ANALYSIS AND SYNTHESIS OF ENHANCED BEE COLONY OPTIMIZATION WITH THE TRADITIONAL BEE COLONY OPTIMIZATION TO SOLVE TRAVELLING SALES PERSON PROBLEM
Authors: Agrawal Prateek , Kaur Harjeet , Bhardwaj Deepa
Published: May 2018

Bee colony optimization is the recent swarm intelligence technique which has been applied to solve many combinatorial problems. In this paper we propose the enhanced bee algorithm based on Kmeans clustering to solve TSP. In the proposed algorithm parallel bee algorithm has been applied to each cluster and connection method has been suggested to combine the sub tour to global tour of the whole cities. It was found the enhanced bee algorithm give the better result and more optimal tour.
NETWORK INTRUSION DETECTION AND PREVENTION ATTACKS
Authors: Kaur Harpreet
Published: May 2018

Intrusion detection is an important technology in business sector as well as an active area of research. It is an important tool for information security. A Network Intrusion Detection System is used to monitor networks for attacks or intrusions and report these intrusions to the administrator in order to take evasive action. Today computers are part of networked; distributed systems that may span multiple buildings sometimes located thousands of miles apart. The network of such a system is a pathway for communication between the computers in the distributed system. The network is also a pathway for intrusion. This system is designed to detect and combat some common attacks on network systems. It follows the signature based IDs methodology for ascertaining attacks. A signature based IDS will monitor packets on the network and compare them against a database of signatures or attributes from known malicious threats. In this system the attack log displays the list of attacks to the administrator for evasive action. This system works as an alert device in the event of attacks directed towards an entire network.
USING MIXED METHOD APPROACH TO UNDERSTAND ACCEPTANCE AND USAGE OF ICT IN NIGERIAN PUBLIC UNIVERSITY
Authors: David Oye Nathaniel , N. A.Iahad , N. Ab.Rahim
Published: May 2018

Technology acceptance is about how people accept andadopt some technology to use. The primary target ofmany technology acceptance studies is to examine how toencourage usage and also analyze what interruptsacceptance and usage of technologies. Using the mixedmethod approach, the quantitative phase shows that, theperceived usefulness (PE) is significant with p-value(.023) and the perceived ease of use (EE) is significantwith p-value (.001). These results shows that the intentionto accept and use ICT by the academic staff is a functionof various concepts including the understanding that ICTis useful and it is not difficult to use. However thequalitative phase shows that it is true that theacademicians intent to use ICT but the conditions andenvironment are not encouraging, classrooms are poorlydesigned. No regular power supply, no ICT facilities onground and poor internet connectivity. The mixed methodapproach has given the true picture of the acceptance andusage of ICT in Nigerian public university. Thequantitative phase shows the constructs that havesignificant influence on acceptance and use of ICT, whilethe qualitative phase interprets the in-depth meaning ofthe statistical results and the environmental challengesthat most be tackled to realize the full vision.
DO WE REALLY NEED COMPUTERS IN CLASSROOM INSTRUCTIONS
Authors: Kaur Harpreet
Published: May 2018

The Quality of education depends to a great extent on thequality of teachers. It is a known fact that quality teachers optfor an innovation in their teaching aspect through integratingtechnology in the classroom instruction to give the best tostudents. Since technology is a powerful tool for problem â€“solving, conceptual development and critical thinking help tomake the learning process much easier for the students. To beeffective in the classroom instruction, teachers should acquirethe knowledge and skills to use the new challenges inpromoting innovative teaching strategies that are studentcentered,collaborative, engaging, authentic, self-directed andbased on the development of higher order thinking skills withrespect to handling classes for students which aim to achievehigh academic standards.Today learning is approached as a constructive, self-regulated,and cooperative to meet the individual difference andtechnology-oriented process. In these approaches a strongemphasis is placed on the learner as an active agent in theknowledge acquisition process. This view on learning andinstruction is in contrast with the â€—Objectivisticâ€˜ viewpoint inwhich information provided by, for example, a teacher ismore or less directly transferred to the learner. In theconstructive viewpoint, the teacher plays a more facilitativerole, supporting learners in a self-directed, constructivelearning process. Developments in the objectivistic traditionwere encouraged by the availability of computer-basedlearning environments that were in line with this approach,such as programmed instruction, tutorials, drill-and-practiceprograms. Also within the constructivist approach we findcomputer-learning environments that help to advancedevelopments
Identifying Network Anomalies Using Clustering Technique in Weblog Data
Authors: Bejjanki Kiran , Bhaskar A.
Published: May 2018

In this paper we present an approach for identifying networkanomalies by visualizing network flow data which is stored inweblogs. Various clustering techniques can be used to identifydifferent anomalies in the network. Here, we present a newapproach based on simple K-Means for analyzing networkflow data using different attributes like IP address, Protocol,Port number etc. to detect anomalies. By using visualization,we can identify which sites are more frequently accessed bythe users. In our approach we provide overview about givendataset by studying network key parameters. In this processwe used preprocessing techniques to eliminate unwantedattributes from weblog data.
SR-AODV: A Stable Route-AODV Protocol for Mobile Ad hoc Network
Authors: Gupta Pratima , Kumar Dr. Rakesh
Published: May 2018

Mobile ad-hoc network is the collection of node whichdynamically forms a temporary network without the use ofany existing network infrastructure or centralizedadministration. When the mobility in the network is high andthe topology changes frequently the route maintenanceoverhead in AODV increases. Because nodes can move linkbreakages can occurs. Long path is more vulnerable to linkbreakages and requires high control overhead for itsmaintenance. In this paper we introduce a new modifiedAODV protocol. This new protocol uses stability factor ofintermediate nodes to find the most sable neighbors andtherefore most stable path. This new proposed protocol is SRAODV(Stable Route AODV) protocol. We simulate bothAODV and SR-AODV with ns-2 in similar scenario. We findthat SR-AODV will show better performance than AODV
Reduction of Transmission Losses based on Optimal Power Flow using Genetic Algorithm
Authors: Rahul Jinendra , Sharma Yagvalkya , Birla Dinesh
Published: May 2018

This paper presents the application of GeneticAlgorithm (GA) for solving optimal power flow problems. It is animportant tool for performance analysis of many power systemsproblems. Optimal power flow (OPF) is of very muchsignificance in power system operation analysis underderegulated environment of electricity industry. The OPFoptimizes a power system operating objective function, whilesatisfying a set of system operating constraints. The basic OPFsolution is obtained with production cost minimization as theobjective function and the optimal settings of the power systemare determined. OPF can also be formulated for reactive poweroptimization, as minimization of system active power losses andimproving the voltage stability in the system. In the presentpaper objective function is to reduce transmission losses usingGA, a IEEE 30-bus test power system is studied for optimalpower flow. It is described in the paper that GA based optimalpower flow can provide optimal solution
A Study Paper on Performance Degradation due to Excessive Garbage Collection in Java Based Applications using Profiler
Authors: Retna Emi
Published: May 2018

Applications are becoming more complex, more larger and demand high quality. Application Server is the component on which most of the applications are hosted. It acts in the middle tier providing lot of functionalities like transaction management, caching ,persistence clustering etc. There are a variety of application servers to choose from like JBoss, Websphere, Tomcat etc, some are open source while others are proprietary. Quality parameters like performance, availability, scalability, maintainability, re-usability vary between different application servers. The application servers can be analyzed and monitored for performance using various tools and metrics. The quality parameters of an application server are affected by various factors such as memory leak, poor performing code, etc. It is necessary to evaluate the performance, to verify if the quality requirements are met. Software Engineering has several methodologies, metrics and calculations to evaluate the quality requirements. [1] discusses the various measurements and metrics that can be used to calculate the quality parameters.
A Study of Training and Development at Private Educational Institutions- with special reference to Malwa Region- Punjab
Authors: Kaur Rupinder , Prabhakar Niti
Published: May 2018

This paper addresses the main issues of training and development for private sector particularly educational institutions. This Paper has been made to understand how training and development in private educational Institutions make a difference in the working style of employees. The involvement of the private sector to foster the improvement of the workforce can affect the entire economy. The operations of the companies in the formulation and implementation of the training is having its own potential to grow as a strategy. This provided opportunity to the professionals deserves an upgrading approach into their skills and to their careers. The paper is based on the authorâ€™s personal experience with more than 100 different training activities. The author has also had in-depth conversations with hundreds of employees and employers of private educational institutions.
Low Cost VoIP Architecture Using Open Source Software Component in Tertiary Institutions
Authors: AlShemmary Ebtesam Najim , Al-Musawi Bahaa Qasim
Published: May 2018

Governments and their agencies are often challenged by high cost and flexible telephonic, Web based data services. Emerging technologies, such as those of Voice over Internet Protocol (VoIP) that allow convergent systems where voice and Web technologies can utilize the same network to provide both services, can be used to improve such services. This paper describe VoIP system for the enterprise network (e.g. company, university) that have been developed based on Asterisk which is a kind of open source software to implement IP-PBX system. Through the development and evaluation, we have confirmed that VoIP system based on Asterisk is very powerful as a whole and most PBX functions to be required for the enterprise network can be realized. Interesting findings include that the University of Kufa has a potential to implement the project. By connecting multiple Asterisk servers located in different sites based on IAX2, large scale enterprise network can be developed. Since the software recommended for installation is open source, the project could be used as a source of valuable information by students who specialize in real-time multi-media systems.
Classical Encryption Techniques
Authors: Sharma Ramandeep , Sharma Richa , Singh Harmanjit
Published: May 2018

This paper reviews some of the classical encryption and modern techniques which are widely used to solve the problem in open networked systems, where information is being received and misused by adversaries by means of facilitating attacks at various levels in the communication. In this paper the proposition of building the basics of classical encryption and modern techniques and the comparison has been done between each of them.
GRAYSCALE IMAGE WATERMARK DETECTION
Authors: Kaur Randeep , Dhillon Kamaljit Kaur
Published: May 2018

A Digital watermarking is a technique that provides a solution to the longstanding problems faced with copyrighting digital data. Digital watermarks are pieces of information added to digital data (audio, video, or still images) that can be detected or extracted later to make an assertion about the data. This information can be textual data about the author, its copyright, etc; or it can be an image itself. Watermarking Based on DCT Coefficient Modulation technique embeds the watermark in the DCT domain to increase the robustness of the watermarking scheme.DCT based watermarking is an example of frequency domain watermarking. The objective of this research work is to implement DCT based watermarking technique on gray scale image. The study focuses on evaluating the robustness of watermarked image after having three different attacks on watermarked image and extraction of watermark from that particular image. To compare the DCT based watermarking with LSB based watermarking and to validate the proposed work & the comparative results of watermarking using DCT and LSB are also presented. This paper recommends DCT based technique for achieving robustness in digital image watermarking.
Alternative Vidhi to Conversion of Cyclic CNF->GNF
Authors: Bansal Avinash
Published: May 2018

In automata theory Greibach Normal Form shows that A->aV

n*, where â€˜aâ€™ is terminal symbol and Vn is nonterminal symbol where * shows zero or more rates of Vn [1]. Most popular questions, conversion of following cyclic CNF into GNF are:

Question 1               S->AA | a,     A->SS | b

Question 2               S->AB,          A->BS | b,      B->SA | a

Question 3               S->AB,          A->BS | b,      B->AS | a      [1]

To solve these questions, we need two technical lemmas and required one or more another variable like Z1. In these questions, we have cyclic nature of production called cyclic CNF. We have modified the same rule by which we get the more reliable answer with less number of productions in right hand side without using lemmas and any another variable. This above method can be applied on all problems by which we produce the GNF.
Content Based Image Retrieval using Texture, Color and Shape for Image Analysis
Authors: Sandhu Amanbir , Kochhar Aarti
Published: May 2018

Content- Based Image Retrieval(CBIR) or QBIRÂ  is the importantÂ  field of research..ContentÂ  Based Image retrieval has gained much popularityÂ  in the past Content-based image retrieval (CBIR)[1] system has also helped users to retrieve relevant images based on their contents. It represents low level features like texture ,color and shape .In this paper, we compare the several feature extraction techniques [5]i.e..GLCM ,Histogram and shape propertiesÂ  over color,Â  texture and shape The experiments show the similarity between these features and also that the output obtained using this combination of color, texture and shape is better as obtaining outputÂ  with a single feature
Green computing – The New Era of Energy Efficient Computing
Authors: Dhir Rupali
Published: May 2018

Green computing is the study and practice of using computing resources efficiently. It aims to reduce the use of hazardous materials, maximize energy efficiency during the product's lifetime, and promote recyclability or biodegradability of defunct products and factory waste. The plan towards green IT should include new electronic products and services with optimum efficiency.Â Green computing strategies can help us to build a safe place for us to live in .If each one of us becomes successful in constructing a healthy environmental balcony for ourselves then trust us we can together make our mother earth a healthy and a happy place for us to survive here.
Traveling Salesman Problem: A Case Study
Authors: Jain Dr. Leena , Bhanot Mr. Amit
Published: May 2018

In this paper assignment based integer linear formulation presented for solving traveling salesman problem. Unfortunately, the assignment model can lead to infeasible solutions. Infeasibility removes by introducing additional constraints. Then this linear problem solved by open source software.
ARTIFICIAL NEURAL NETWORK BASED CHARACTER RECOGNITION USING BACKPROPAGAT
Authors: Rizvi Murtaza Abbas , Shrivastava Madhup , Sahu Monika
Published: May 2018

Optical Character Recognition, or OCR, is a technology that enables you to convert different types of documents, such as scanned paper documents, PDF files or images captured by a digital camera into editable and searchable data format. OCR is the translation of optically scanned bitmap of printed or written text character into the character codes, such as ASCII. This is an efficient way to turn hard copy material into digital data files that can be edited or manipulated. The optical character recognition refers to the branch of computer science that involves reading text from paper and translating the images into a form that the computer can manipulate. The potential of this technology is typically used for general character recognition which includes the transformation of anything humanly readable to machine manipulatable representation. OCR systems are enormous because they enable users to harness the power of computers to access printed documents. The aim of this paper is to find a means by which the database entry from handwritten forms can be automated. Firstly the paper deals with the technology scanning hard copy data. Secondly describes machine learning process for training the system for converting hard copy into soft copy
ALTERNATIVES OF PROVIDING IPTV USING IP MULTIMEDIA SUBSYSTEM
Authors: Kockovic Ladislav , Baronak Ivan
Published: May 2018

In this paper, we specify the realization of IPTV platform based on IMS. We provide an analysis of advantages and disadvantages of possible alternatives of providing IPTV over IMS. On the example, which is contained in the case study are on the hypothetical area shown differences between given alternatives.
GRASPING SPATIAL SOLUTIONS IN DISTRIBUTED DYNAMIC WORLDS
Authors: Sapaty Peter Simon
Published: May 2018

A high-level ideology and technology will be revealed that can effectively convert any distributed system (manned, unmanned or mixed) into a globally programmable spatial machine capable of operating without central resources. Compact mission scenarios in a special high-level language can start from any point, runtime covering & grasping the whole system or its parts needed, setting operational infrastructures, and orienting local and global behavior. The approach offered can be particularly useful for quick reaction on asymmetric situations and threats the world is facing, paving the way to massive use of cooperative robotics and gradual transition to unmanned systems for solving critical problems in unpredictable environments
Evaluation of economic advantage for produced electrical energy usage by solar cell in compression with steam power plant in home in Isfahan city
Authors: Abounoori Abbas Ali , Javadi Shahram , Ahmadi Hassan , Gashti Hadi Parhizi
Published: May 2018

The aim of this article is evaluation of economic advantage from using of solar energy (photovoltaic system) in compression with steam power plant in order to supply the electricity of Isfahanâ€™s household (2009 to 2011). For this reason, meanwhile the calculation of used electricity for each house in Isfahan city, the production cost for one kilo watt hour of electricity through two methods of steam power plant and photovoltaic system is estimated from the scale of equationâ€™s uniform annual cost. The result shows that application of photovoltaic system is inadvisable in Isfahan in now condition. It is considerable that due to increasing of electricity requirements and the limitation of fossil sources and the high pollution because of these sources, the usageÂ  of resulted energy from steam power plant hasnâ€™t economic justify in the not too distant future.
Peer to Peer Video on Demand Architecture using V-Chaining
Authors: K Hareesh , D. H Manjaiah
Published: May 2018

In the Internet, video streaming requires greater amount of network bandwidth and other resources as the number of user requests increases. In case of traditional centralized directory server approach all the users requests are directly handled by the centralized server and each user request will send dedicated stream by the server, which requires higher end server, server cost will become more and greater amount of network bandwidth utilized by this server. To solve these problems peer to peer technology as emerged for the distribution of video streams to the larger requests over the network. In P2P VoD architecture adopted both the peer to peer and proxy based architectural design of a VOD system for larger community of users over the network. Hence our proposed Peer to Peer Video on Demand Architecture using V-Chaining improves the overall performance of the system by efficient utilization of uplink bandwidth and smaller amount of buffer space among the peers. In this paper we have introduce architecture for handle the large number of user requests over the communication network and ease of implementation.
WEB MINING THROUGH CUSTOMIZED MARKOV ALGORITHM
Authors: Mayria Sourabh , Malviya Mr. Mahesh
Published: May 2018

The problem of predicting a userâ€™s behavior on a web site has gained Importance due to the very increases required web network. It also compulsory for market and research of social behavior. Although many approaches are comes and many will should come, however they all are important at their different different view. Even I (Author, himself), suggests a physical approach to measure web traffic, results in paper titled â€œThe Web Page Prediction by TRP Machineâ€ , however I want to proposed an algorithm for it, which is not physically but logically measures the web traffic at all. Results as â€œCustomized Page Rank algorithmâ€ from simple Page Rank algorithm. Because simple Buddy Prima algorithm gives results after complicated calculations, instead it the novel approach creates less calculations and more clear and precise results as we want. The â€œCustomized Buddy Prima algorithmâ€ is based on the Markov Model with its chain in Forward reasoning [Research Paper on Forward Reasoning in Hierarchical representation , by me, (Author himself)], with the help of Apriori algorithm, Division algorithm, Association rule, page rank algorithm, Eigen vector calculations, modified Adjacency matrix, and many more calculations as tools. The suggested method is very proper as the result point of view, as it gives more proper results as shown by comparison of both two approaches as traditional one and the modified as well.
INTEGRATED APPROACH FOR DEFECT DETECTION IN CERAMIC TILES
Authors: Sharma Meenakshi , Kaur Gurleen
Published: May 2018

Quality control is an important issue in the ceramic tile industry. Price of ceramic tiles also depends on purity of texture, accuracy of color, shape etc. Considering this criteria, an integratedÂ  defect detection and classification technique has been proposed which plays an important role in ceramic tiles industries to detect the defects and to control the quality of ceramic tiles.GLCM extracts theÂ  texture features and these featuresÂ  together with color features are used for analysis in classifiers such as SVM, KNN and Bayesian. Experimental results illustrated thatÂ  every classifier gives highest accuracy with HSV.
SOFTWARE CODE CLONE DETECTION MODEL USING HYBRID APPROACH
Authors: Kaur Amandeep , Sandhu Mandeep Singh
Published: May 2018

The aspiration of this study is to understand and analyze the concept of software Cloning and its detection. Software cloning is an acuity in which source code is duplicated. Software cloning and its detection is one of emerging and most dominant area of research in the field of software engineering. There exist numbers of techniques to detect clone in software. The focus of this study will be given on acquiring and analyzing the concept of hybrid clone detection technique. We will try to devise an algorithm for detecting duplicacy in the software by using hybrid software clone detection technique. The algorithm will first compute the required software metrics that provide sufficient information regarding the software application and then depending on software metrics matches the clone will be detected. While detecting clone we will focus on line clone rather than token or word.
ANALYSIS OF STUDENT ACTIVITIES ON COMPUTER - A STUDY ON PUNJAB UNIVERSITY, INDIA
Authors: Suri Dr Gunmala , Sharma Sneha
Published: May 2018

The purpose of this research is to investigate and understand how students are using computer. The activities that a student undertakes with the help of computers which might be fulfilling some academic or non academic purpose, is of great interest. It will help in understanding the limitations and potentials offered by the technology for use of computer in classroom. This paper brings out the three major kinds of activities that students undertake with computer; self learning activities, Information collection tasks and communication and group activities. The study further analyses the effect of demographics i.e. gender, age and faculty (department) of students on the activities with computer. The results show that gender has no impact on the activities of students with computer. The age impacts only the activities related to Information collection by using computer where as the faculty of student significantly impacts all the activities viz. self learning activities, Information collection tasks and communication and group activities. The findings from this research can be used in designing future e-learning initiatives and development e-learning tools
A Feature Selection process Optimization in multi-class Miner for Stream Data Classification
Authors: Rai Manish , Pandit Rekha , Richhariya Vineet
Published: May 2018

Multi-class miner resolves the problem of feature evaluation, data drift and concept evaluation of stream data classification. The process of stream data classification in multi-class miner based on ensemble technique of clustering and classification on feature evaluation technique. The process of feature evaluation technique faced a problem of correct point selection of cluster centre for the process of data grouping. For the proper selection of features point we used optimization technique for feature selection process. The feature selection process based on advance genetic algorithm (AGA). The advance genetic algorithm poses a process of feature point for neighbour class detection for finding a correct point in classification. Our proposed algorithm tested on some well know data set provided by UCI machine learning repository. Our empirical evaluation result shows that better result in comparison of multi-class miner for stream data classification.
A Study Paper on Communication Network and overview of Packet Switching Technology
Authors: Panwar Sandeep , Garg Amit , Kumar Naresh
Published: May 2018

In this paper,we highlight some of the principal events that led up to the revolution in communications among information processing systems. We devote most of this presentation to a brief summary of the communication networks experience, emphasizing the description, functions, analysis, design and performance measurement of packet-switching networks. We also discuss some recent advances in radio packet switching for long-haul
SOFTWARE AUDIT SYSTEM
Authors: NIgam Gaurav Kumar
Published: May 2018

To remotely monitor your computer over the internet, you have to install this software on the remote computer (called as server) as well as on your own computer (called as client). When connected , Software Audit System software gives you the full mouse and keyboard control over your computer and you can see the whole screen of the remote PC on your own desktop. As we know that computer networks within companies and organizations become more extensive and more complex, there is a considerable growth in the number of software programs that are installed and used on the computer systems. In order to increase the reliability and efficiency of computer Systems, it is mandatory that we clearly understand and control all the computer programs that are being used. The problem may also arise when people installing unauthorized or copied computer programs on their Desktop PC's. It is necessary that we provide auditing tools that can facilitate audit data either locally or reside on to a central network manager and it gives the information related to the installed and used computer programs
Information Management
Authors: Kaur Barjinder
Published: May 2018

Information management (IM) is the collection and management of information from one or more sources and the distribution of that information to one or more audiences. Management means the organization of and control over the planning, structure and organization, controlling, processing, evaluating and reporting of information activities in order to meet client objectives and to enable corporate functions in the delivery of information. 'Information' here refers to all types of information of value, whether having their origin inside or outside the organization, including data resources, such as production data; records and files related, for example, to the personnel function; market research data; and competitive intelligence from a wide range of sources. Information management deals with the value, quality, ownership, use and security of information in the context of organizational performance.
A COMPARATIVE STUDY OF VARIOUS METHODS OF ANN FOR SOLVING TSP PROBLEM
Authors: Roy Sharadindu , Sen Sarma Prof Samer , Chakravorty Soumyadip , Maity Suvodip
Published: May 2018

Abstract This paper represents TSP (Travelling Salesman Problem) by using Artificial Neural Networks.A comparative study of various methods of ANN is shown here for solving TSP problem.The Travelling Salesman Problem is a classical combinational optimization problem, which is a simple to state but very difficult to solve. This problem is to find the shortest possible tour through a set of N vertices so that each vertex is visited exactly once. TSP can be solved by Hopfield Network, Self-organization Map, and Simultaneous Recurrent Network. Hopfield net is a fully connected network, where every vertex is connected with each other forwardly and backwardly. So starting the walk from a vertex we can travel all the other vertex exactly once and return to starting vertex again.
Signal and Image Processing with Side Looking Sonar
Authors: Sathishkumar Prof. Dr. R. , Gupta T.V.S.Prasad , Babu M.Ajay
Published: May 2018

Mines placed on the sea floor are still a vast threat in civil and military shipping. This potential risk is typically encountered by advanced sonar signal processing techniques and time consuming manual evaluation of the sonar data by a human operator. Due to mission specific time constraints a computer aided or even autonomous analysis of the huge amount of data is desired. Acoustic waves suffer much less in seawater and therefore sonar sensors are the prevalent to be used in under water. A main difficulty is to extract information from side looking sonar (SLS). An overview of SLS approaches to underwater imaging is given in this paper. A short outlook to the system operation is also presented. This paper proposes a data model to generate SLS images that is suitable for identifying regions of interest (ROI) in sonar images, in particular the detection of anomalies on the sea floor with focus on proud ground mines. It also presents a method to classify maps of the seafloor from sonar imagery. The techniques described are directly applicable to a range of remote sensing problems.
How to Assured Quality in a Cloud and its Verification Process
Authors: Jain Prince , Singh Dr. Gurdev , Singh Dr. Mandeep
Published: May 2018

Cloud computing is discipline which use everything as service that provide economic, convenient and on-demand services to requested end users and cloud service consumer. Building a cloud computing network is not an easy task. It requires lots of efforts and time. For this, there arises a concept called Cloud Engineering. Cloud engineering is a discipline that uses set of processes which help to engineer a cloud network. The structure and principles of cloud engineering plays an important role in the engineering of usable, economic and vibrant cloud. The cloud engineering use a cloud development life cycle (CDLC) which systematic developed cloud. Quality assurance and verification is an important and mandatory part of development cycle. Quality assurance ensures the quality and web service of cloud network. Cloud Verification is an irrespirable step in a development of an economic cloud computing solution of a network. Verify the performance, reliability, availability, elasticity and security of cloud network against the service level agreement with respect to specification, agreement and requirement. The work in this paper focuses on the Quality Assurance factors and parameters that influence quality. It also discuses quality of data used in a cloud. This paper proposes and explores the structure and its component used in verification process of a cloud.
REVIEW OF DATABASE AND PROMINENT PROGRAMMES
Authors: Kumar Dr. Vinod , Raheja Gagandeep , Singh Sukhpreet
Published: May 2018

Databases and database systems have become an essential component of everyday life in modern society. In the course of a day, most of us encounter several activities that involve some interaction with a database. For example, if we go to the bank to deposit or withdraw funds, if we make a hotel or airline reservation, if we access a computerized library catalog to search for a bibliographic item, or if we buy some item such as a book, toy, or computer- form on internet vendor through it Web page, there might be chances that our activities will involve someone or some computer program accessing a database, even purchasing items from a supermarket nowadays in many cases involves an automatic update of the database that keeps the inventory of supermarket items. So in this paper we will talk about how to manage the different type of data involved in any form in the database.
Trigger and Database Security
Authors: ITAI YAYA , OLUDELE PhD AWODELE , GOGA PhD NICOLAE
Published: May 2018

Database Security is a growing concern evidenced by an increase in the number of reported incidencesof loss of or unauthorized exposure to sensitive data. As the amount of data collected, retained and shared electronically expands, so does the need to understand database security. Security models, developed for databases differ in many aspects because they focus on different features of the database security problem or because they make different assumptions about what constitutes a secure database. This paper explains the need for a database trigger and it role in enforcing the various database security challenges.
OPTIMAL ALGORITHM FOR PREDICTING STUDENTS ACADEMIC PERFORMANCE
Authors: Kuyoro Afolashade , Goga Prof. Nicolae , Awodele Dr. Oludele , Okolie Dr. Samuel
Published: May 2018

Machine learning has been successfully applied to numerous domains such as pattern recognition, image recognition, fraud detection, medical diagnosis, banking, bioinformatics, commodity trading, computer games and various control applications. Recently, this paradigm is been employed to enhance and evaluate higher education tasks. The focus of this work is on identifying the optimal algorithm suitable for predicting first-year tertiary students academic performance based on their family background factors and previous academic achievement. One thousand five hundred (1,500) enrolment records of students admitted into computer science programme Babcock University, Nigeria between 2001 and 2010 was used. The studentsâ€™ first year academic performance was measured by Cumulative Grade Point Average (CGPA) at the end of the first session and the previous academic achievement was measured by SSCE grade score and UME score. Waikato Environment for Knowledge Analysis (WEKA) was used to generate 10 classification models( five decision tree algorithmsÂ  -Random forest, Random tree, J48, Decision stump and REPTree and five rule induction algorithms â€“JRip, OneR, ZeroR, PART, and Decision table) Â and a multilayer perceptron, an artificial neural network function. These algorithms were compared using 10-fold cross validation and hold-out method considering accuracy level, confusion matrices and CPU time to determine the optimal model. This work will be taken further by designing a framework of predictive system based on the rules generated from the optimal model.
Computational Analysis of Different Artificial Intelligence Based Optimization Techniques for Optimal Power Flow and Economic Load Dispatch Problem
Authors: Lokhande Netra M , Hore Debirupa
Published: May 2018

The purpose of this paper is to present a computational Analysis of various Artificial Intelligence based optimization Techniques used to solve OPF problems. The various Artificial Intelligence methods such as Genetic Algorithm(GA), Particle Swarm Optimization(PSO), Bacterial Foraging Optimization(BFO), ANN are studied and analyzed in detail. The objective of an Optimal Power Flow (OPF) algorithm is to find steady state operation point which minimizes generation cost and transmission loss etc. or maximizes social welfare, load ability etc. while maintaining an acceptable system performance in terms of limits on generatorsâ€™ real and reactive powers, power flow limits, output of various compensating devices etc. Traditionally, Classical optimization methods were used effectively to solve optimal power flow. But, recently due to the incorporation of FACTS devices and deregulation of power sector the traditional concepts and practices of power systems are superimposed by an economic market management and hence OPF have become more complex. So, in recent years, Artificial Intelligence (AI) methods have been emerged which can solve highly complex OPF problems at faster rate.