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An Efficient Data Collection Model Using Phantom Partitioning to Reconnect Traffic Partitioned Node in Wireless Sensor Network Structure

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Procedia computer science 2015年 70卷 640-648页

作者： Biju Paul E. Gopinathan Research Scholar Computer Science Engineering Vels UniversityChennai-600043 Dean School of Engineering Vels UniversityChennai-60004

Although traffic partitioned node on wireless sensor network has been under way for many years and many energy optimization model have been investigated, it is still unclear whether integer linear programming problem is consistently effective on overlapping time over multiple mobile elements. With the objective of measuring the energy consumption on partitioning multi-hop wireless communications, a Traffic Reconnect Set-up Partitioning (TRSP) method is proposed in this paper. TRSP finds the affected location on varying range of mobile elements and reconstruct the network structure accordingly. A framework for traffic reconnect set-up partitioning based on inter partition gaps using the phantom partitioning concept is designed that identifies the network partitioning for most practical conditions using the NS2 simulator. With this, the TRSP with phantom partitioning balances the constraints with double cut method. The double cut based partitioning leads to safe route path by minimizing the energy consumption of sensor nodes in sensor network structure. The reestablishment of connectivity using the TRSP method provides improved data collection using the centroid mean point collection. The centroid mean point collection works with reconnect partition free sensor network system for varying range of mobile elements by achieving higher performance rate. The most affected location (i.e.,) partitioned nodes is identified and connectivity is reestablished during data aggregation. Simulation results demonstrate that the proposed TRSP method achieves better performance than the state-of-the-art methods in terms of energy consumption, data collection efficiency, and bandwidth rate.

关键词： Wireless Sensor network Centroid Mean Point Collection Traffic Reconnect Set-up Partitioning Phantom Partitioning Mobile Elements.

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Design of Collision-free Nearest Neighbor Assertion and Load Balancing in Sensor Network System

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Procedia computer science 2015年 70卷 508-514页

作者： Vinodh P. Vijayan E. Gopinathan Research Scholar Computer Science Engineering Vels UniversityChennai-600043 Dean School of Engineering Vels UniversityChennai-600043

Collision free transmission of raw sensor signal in application like detection and estimation of environmental problems is difficult and one of the major challenges is to balance the load and identify the interference nodes to achieve high performance. Ensuring multipath transmission among the nodes guarantees end-to-end packet transfer. However, such multipath transmission also gives rise to multiple copies of same packet resulting in interference and collisions among the nodes. While, certain routing protocols have high probability of delivery by maintaining an accurate neighbor list, they fail to achieve load balance which extensively degrades the performance of the network. In this paper, we present a Collision-Free Nearest Neighbor Assertion (CNNA) method to avoid collision and interference by significantly identifying the multiple copies sending nodes CNNA method initially identifies the collision and interference nodes in the sensor networks using the n-d tree data structure. The n-d tree search uses the binary search tree mechanism to easily identify the collision and interference nodes with minimal search time. A genetic optimization approach is formulated with an objective to balance the load on the neighboring nodes of the sensor network by measuring the weighted variance for the collision free n-d tree data structure. With the weighted variance using n-d tree data structure, Crossover and Mutation operation is applied to balance the load on the nodes. Extensive simulation results are carried out through analysis to show that the proposed algorithm satisfies both load balancing and collision removal in sensor network system. CNNA method achieves highest performance rate and performance measure is done on the factors such as collision removal rate, load balancing efficiency and search time taken for identifying the collision in network.

关键词： Genetic operator Wireless sensor networks Collision Free network Weighted variance n-d tree data structure.

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A Semantic Web query Optimization Using Resource Description Framework

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Procedia computer science 2015年 70卷 723-732页

作者： Varghese S. Chooralil E. Gopinathan Research Scholar Computer Science Engineering Vels UniversityChennai-600043 Dean School of Engineering Vels UniversityChennai-600043

Semantic web mining can be defined as the problem of automatic extraction of information from the database and produce a structured output to the user queries. Most works in knowledge base system have focused on using axioms applying enrichment method, but was not efficient in detecting the document topic and hence resulted with the expanded queries. Although there is a straight forward approach for automatic extraction from a larger set of information, the problem of recognizing the second or higher order associations between the documents on the web still remains a challenging issue. Specifically, we present three folds architecture to process a class of well designed user queries based on Reuters-21578 Text Categorization Collection Data Set, called as Semantic Resource Description with Compound Protocol (SRD-CP). The first fold constructs a Semantic Pattern Tree based on the Resource Description Framework (RDF) query language for detecting the document topic name. The RDF query language uses compound structure to produce the result to the expanded user queries. The second fold is the design of compound structure in SRD-CP framework that consists of HTTP protocol and constrained application protocol to handle the complex query processing. Finally, the third fold includes the definition of word co-occurrences using the association frequency form with the help of the constructed SPT. Run Associate Apriori (RAA) algorithm is used to identify the second or higher order association between the web documents. The RAA algorithm in SRD-CP framework recognizes the association between web related documents and user fetched queries. SRD-CP framework is empirically evaluated using the dataset and is shown to be significantly more efficient in terms of document association level computation rate, processing time and user result retrieval rate.

关键词： Resource Description Framework Semantic Web Word Co-occurrence Graph Run Associate Apriori Algorithm HTTP protocol User Query.

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Influence of phytochemicals on initial protein adsorption/adhesion over calcium silicate biomaterials: A pilot study

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Trends in Biomaterials and Artificial Organs 2016年第1期30卷 77-79页

作者： Raghavan, R. Narasimha Vignesh, G. Trinita, S. Angelin Pragathi, J. Giri, Gopi Krishna Chakraborty, Arijit Sastry, T.P. Centre for Laboratory Animal Technology and Research Sathyabama University Chennai600119 India Department of Biomedical Engineering Sathyabama University Chennai600119 India Department of Biotechnology Achariya Arts and Science College Achariyapuram Villianur Puducherry605110 India Department of Pharmacology School of Pharmaceutical Sciences VELS University Chennai600117 India Bioproducts Laboratory CSIR-Central Leather Research Institute Chennai India

It is a well known fact that initial protein interaction with biomaterial scaffold plays a major role in biocompatibility of the material. Recent days have shown that incorporation of phytoconstituents into biomaterials for improved biocompatibility. But, the effect of phytochemicals on protein interaction is not yet completely studied. In this pilot study, calcium silicate has been selected as biocompatible vehicle to test the influence of phytoconstituents on material-protein interaction. Various concentrations of phytochemicals have been incorporated to implants and tested for protein adsorption. The results show the presence of influence of phytoconstituents on protein adhesion.

关键词： Calcium silicate

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Development of locally weighted projection regression for concurrency control in computer-aided design database 1

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1st International Conference on Internet Computing and Information Communications, ICICIC Global 2012

作者： Muthukumaravel, A. Purushothaman, S. Rajeswari, R. Department of MCA School of Computing Sciences VELS University Chennai600 117 India PET Engineering College Tirunelveli DistrictTamil Nadu627 117 India Department of Computer Science Mother Teresa Womens University Kodaikanal India

ISBN: (纸本)9788132212980

Concurrency control (CC) is the activity of synchronizing operations issued by concurrently executing programs on a shared database. Concurrency control is an important concept for proper transactions on objects to avoid any loss of data or to ensure proper updating of data in the database. This paper presents development of locally weighted projection regression (LWPR) for concurrency control while developing bolted connection using Autodesk inventor 2008. While implementing concurrency control, this work ensures that associated parts cannot be accessed by more than one person due to locking. The LWPR learns the objects and the type of transactions to be done based on which node in the output layer of the network exceeds a threshold value. Learning stops once all the objects are exposed to LWPR. We have attempted to use LWPR for storing lock information when multi users are working on computer-aided design (CAD). © Springer India 2014.

关键词： Locks (fasteners)

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Terminating the spamming links and privacy guaranteed search logs

Terminating the spamming links and privacy guaranteed search...

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2013 International Conference on Information Communication and Embedded Systems, ICICES 2013

作者： Janani., V.D. Haribaabu., V. Sajeev, Ram. A Computer Science and Engineering Vels University Chennai India Dept. of Computer Science and Engineering Vels University India

ISBN: (纸本)9781467357869

Search engine spamming is a practice of misleading the search engine and increasing the page rank of undeserving websites. The black hat search engine optimization (SEO) techniques leads to untrustworthy results for search engines. Some commonly used black hat techniques has been characterized and proposed a new way to counter those techniques using link based spam detection combined with the page rank algorithm. This technique enhances discovering of the target page and tracing down the entire graph responsible for spreading spam and it investigates the problem of protecting privacy for publishing search engine logs. With the exponential growth of the available information on the WWW, current search engines do not just store and index web pages, they also store and mine information about their users. Hence the attackers can actively influence the search log and therefore the privacy of the user is lost. A novel algorithm called ZEALOUS has been introduced to publish privacy guaranteed search logs. The result of this paper filter out the malicious sites from the search results and enables the search logs available without disclosing their user's sensitive information. © 2013 IEEE.

关键词： Search engines

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Terminating the spamming links and privacy guaranteed search logs

Terminating the spamming links and privacy guaranteed search...

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International Conference on Information Communication and Embedded Systems (ICICES)

作者： V.D Janani V. Haribaabu A. Sajeev ram Computer Science and Engineering Vels University Chennai India Dept. of Computer Science and Engineering Vels University Vels University Pallavaram Tamil Nadu IN

关键词： Search engines Unsolicited electronic mail Privacy Histograms Crawlers History Uniform resource locators

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Multi-Agent System for data classification from data mining using SVM

Multi-Agent System for data classification from data mining ...

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International Conference on Green Computing, Communication and Conservation of Energy (ICGCE)

作者： J. Ponni K.L. Shunmuganathan Vels University Pallavaram Tamil Nadu IN Head of Department of Computer Science & Engineering R.M.K. Engineering College Chennai

Most of the databases are multi-relational, but the existing data mining approaches verify the classification rules in a single data relation. This paper introduces an efficient algorithm for mining important classification rule for multi-relational database using distributed data mining ideas. To achieve this, an Intelligent Agent is used. An Intelligent agent is an entity that observes and acts upon an environment to achieve its goal. We have implemented a novel distributed data mining method to mine(classify) important rules in multiple relations and to improve efficiency of the mining, we have combined Support Vector Machines (SVM) algorithm. This arrangement is useful for classifying the details from different sources based on support vector machine's algorithm.

关键词： Data mining Support vector machines Databases Classification algorithms Forecasting Decision making Algorithm design and analysis

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Robotic system for cleaning manholes (RSCM)

Robotic system for cleaning manholes (RSCM)

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2011 IEEE Student Conference on Research and Development, SCOReD 2011

作者： Joshi, Gopal Rana, Animesh Venkateshwar, R. Electronics and Communication Engineering Vels University Chennai India Computer Science Engineering Vels University Chennai India

ISBN: (纸本)9781467301022

Aimed at tackling the disadvantages of conventional manhole. A new manhole cleaning robot system is designed to perform automated cleaning instead of manual;a characteristic of less safety, low-efficiency, long time and environmental pollution problems related to the operations. The robot system consists of robot, suction pump, hydraulic pump station, remote control center, windlass and biodegradable bags. The modular structures have been adopted in the robot, which makes it possible to assemble all subsystems in a single unit. This robotic system can reduce the complex mechanism for cleaning the manholes and even provide environmental friendly way of disposing the sludge or waste. © 2011 IEEE.

关键词： Windlasses

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Robotic system for cleaning manholes (RSCM)

Robotic system for cleaning manholes (RSCM)

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Student Conference on Research and Development (SCOReD)

作者： Gopal Joshi Animesh Rana R Venkateshwar Electronics and Communication Engineering Vels University Chennai India Computer Science Engineering Vels University Chennai India

Aimed at tackling the disadvantages of conventional manhole. A new manhole cleaning robot system is designed to perform automated cleaning instead of manual; a characteristic of less safety, low-efficiency, long time and environmental pollution problems related to the operations. The robot system consists of robot, suction pump, hydraulic pump station, remote control center, windlass and biodegradable bags. The modular structures have been adopted in the robot, which makes it possible to assemble all subsystems in a single unit. This robotic system can reduce the complex mechanism for cleaning the manholes and even provide environmental friendly way of disposing the sludge or waste.

关键词： Cleaning Robots Pumps Vacuum systems Plastics Process control

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