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International Conference on Intelligent Sustainable Systems (ICISS)

作者： K Keerthana Rathan Ayana Ajith S Aswathi V m Silpa M.Tech Computer Science and Engineering Student Vidya Academy of Science & Technology Thrissur India Dept of Computer Science and Engineering Vidya Academy of Science & Technology Thrissur India

ISBN: (纸本)9781538619605

Robotics is a branch of artificial intelligence. This branch deals with the design, construction, operation and application of robots. Nowadays robots are used in various fields to perform difficult tasks with high precision. In this paper various robotic arm movement techniques are briefly described. User interface, mode of transmission, controller and the limits of each technique is also pointed out. Comparison of various techniques are done and the relatively better technique is suggested.

关键词： manipulators Robot sensing systems Robot kinematics Image color analysis Service robots

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Performance Comparison of Ad-hoc Routing Protocols for Networks with Node Energy Constraints

Performance Comparison of Ad-hoc Routing Protocols for Netwo...

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International Conference on Current Trends in computer, Electrical, Electronics and Communication

作者： manish Chandra Bhatt M.tech (Computer Science & Engineering) University Institute of Engineering & Technology Babasaheb Bhimrao Ambedkar University (A Central Univerisity) Lucknow Uttar Pradesh 226025 India

ISBN: (纸本)9781538632444

A major issue with adhoc networks is energy consumption since nodes are sometimes mobile and batteryoperated. In this paper we have compared the performance of ad-hoc routing protocols during a network wherever every taking part mobile node contains a given battery life and can shut-down once a threshold is reached, we have studied 2 routing protocols, Dynamic supply Routing (DSR), and Destination-Sequenced Distance-Vector Routing (DSDV), by examination the node termination rate further because the overall goodput of the network. From the simulations we have a tendency to determine that in high node density, DSR performs higher than DSDV. The performance gap is attenuated by smaller range of nodes within the network or a lot of path loss and shadowing variance.

关键词： DSDV mANET Ad-hoc DSR

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COGOm: Cognitive Theory Based Ontology matching System

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Procedia computer science 2016年 85卷 301-308页

作者： K. Saruladha S. Ranjini Pondicherry Engineering College Senior Assistant Professor Department Of Computer Science Pondicherry-605008 Pondicherry Engineering College M.Tech Department Of Computer Science Pondicherry-605008

Ontology matching systems take a prominent position in solving semantic heterogeneity problems to facilitate sharing and reuse of ontologies. The process of generating ontology alignments through ontology matching techniques purely lies on how the concepts and relationships are modeled. This paper focuses on designing an ontology matching system in which concepts are modeled based on cognitive units of knowledge comprising of objects, attributes and relationships. The proposed cognitive based ontology matching system(COGOm) identifies semantically related concepts by aggregating the attribute similarity degree, structural similarity degree and semantic conception degree. The similarity computation is adapted from the Tversky psychological model of similarity. The proposed ontology matching system is adaptive in nature because of the cognitive based knowledge expression and the computational overhead of generating alignments is improved by forming quality clusters of semantically correlating concepts thus reducing the concept match space. The precision and recall metrics are used for evaluation of the proposed system using the benchmark data sets of OAEI 2015.

关键词： Semantic heterogeneity COGOm Tversky Quality clusters Precision Recall

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Erratum to: Search for exclusive Higgs and Z boson decays to ϕγ and ργ with the ATLAS detector

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Journal of High Energy Physics 2023年第12期2023卷 1-21页

作者： Aaboud, m. Aad, G. Abbott, B. Abdinov, O. Abeloos, B. Abidi, S. H. AbouZeid, O. S. Abraham, N. L. Abramowicz, H. Abreu, H. Abreu, R. Abulaiti, Y. Acharya, B. S. Adachi, S. Adamczyk, L. Adelman, J. Adersberger, m. Adye, T. Affolder, A. A. Afik, Y. Agatonovic-Jovin, T. Agheorghiesei, C. Aguilar-Saavedra, J. A. Ahlen, S. P. Ahmadov, F. Aielli, G. Akatsuka, S. Akerstedt, H. Åkesson, T. P. A. Akilli, E. Akimov, A. V. Alberghi, G. L. Albert, J. Albicocco, P. Alconada Verzini, m. J. Alderweireldt, S. C. Aleksa, m. Aleksandrov, I. N. Alexa, C. Alexander, G. Alexopoulos, T. Alhroob, m. Ali, B. Aliev, m. Alimonti, G. Alison, J. Alkire, S. P. Allbrooke, B. m. m. Allen, B. W. Allport, P. P. Aloisio, A. Alonso, A. Alonso, F. Alpigiani, C. Alshehri, A. A. Alstaty, m. I. Alvarez Gonzalez, B. Álvarez Piqueras, D. Alviggi, m. G. Amadio, B. T. Amaral Coutinho, Y. Amelung, C. Amidei, D. Amor Dos Santos, S. P. Amoroso, S. Amundsen, G. Anastopoulos, C. Ancu, L. S. Andari, N. Andeen, T. Anders, C. F. Anders, J. K. Anderson, K. J. Andreazza, A. Andrei, V. Angelidakis, S. Angelozzi, I. Angerami, A. Anisenkov, A. V. Anjos, N. Annovi, A. Antel, C. Antonelli, m. Antonov, A. Antrim, D. J. Anulli, F. Aoki, m. Aperio Bella, L. Arabidze, G. Arai, Y. Araque, J. P. Araujo Ferraz, V. Arce, A. T. H. Ardell, R. E. Arduh, F. A. Arguin, J-F. Argyropoulos, S. Arik, m. Armbruster, A. J. Armitage, L. J. Arnaez, O. Arnold, H. Arratia, m. Arslan, O. Artamonov, A. Artoni, G. Artz, S. Asai, S. Asbah, N. Ashkenazi, A. Asquith, L. Assamagan, K. Astalos, R. Atkinson, m. Atlay, N. B. Augsten, K. Avolio, G. Axen, B. Ayoub, m. K. Azuelos, G. Baas, A. E. Baca, m. J. Bachacou, H. Bachas, K. Backes, m. Bagnaia, P. Bahmani, m. Bahrasemani, H. Baines, J. T. Bajic, m. Baker, O. K. Bakker, P. J. Baldin, E. m. Balek, P. Balli, F. Balunas, W. K. Banas, E. Bandyopadhyay, A. Banerjee, Sw. Bannoura, A. A. E. Barak, L. Barberio, E. L. Barberis, D. Barbero, m. Barillari, T. Barisits, m.-S. Barkeloo, J. T. Barklow, T. Barlow, N. Barnes, S. L. Barnett, B. m. Barnett, R. m. Barno Faculté des Sciences Université Mohamed Premier and LPTPM Oujda Morocco CPPM Aix-Marseille Université and CNRS/IN2P3 Marseille France Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman United States of America Institute of Physics Azerbaijan Academy of Sciences Baku Azerbaijan LAL Univ. Paris-Sud CNRS/IN2P3 Université Paris-Saclay Orsay France Department of Physics University of Toronto Toronto Canada Santa Cruz Institute for Particle Physics University of California Santa Cruz Santa Cruz United States of America Department of Physics and Astronomy University of Sussex Brighton United Kingdom Raymond and Beverly Sackler School of Physics and Astronomy Tel Aviv University Tel Aviv Israel Department of Physics Technion: Israel Institute of Technology Haifa Israel Center for High Energy Physics University of Oregon Eugene United States of America Department of Physics Stockholm University Stockholm Sweden The Oskar Klein Centre Stockholm Sweden INFN Gruppo Collegato di Udine Sezione di Trieste Udine Italy ICTP Trieste Italy Department of Physics King’s College London London United Kingdom International Center for Elementary Particle Physics and Department of Physics The University of Tokyo Tokyo Japan AGH University of Science and Technology Faculty of Physics and Applied Computer Science Krakow Poland Department of Physics Northern Illinois University DeKalb United States of America Fakultät für Physik Ludwig-Maximilians-Universität München München Germany Particle Physics Department Rutherford Appleton Laboratory Didcot United Kingdom Institute of Physics University of Belgrade Belgrade Serbia Department of Physics Alexandru Ioan Cuza University of Iasi Iasi Romania Laboratório de Instrumentação e Física Experimental de Partículas – LIP Lisboa Portugal Departamento de Fisica Teorica y del Cosmos Universidad de Granada Granada Portugal Department of Physics Boston University Boston United States of America Joi

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Hadoop Framework For Entity Resolution Within High Velocity Streams

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Procedia computer science 2016年 85卷 550-557页

作者： S. Prabhakar Benny S. Vasavi P. Anupriya Research Scholar JNTU HyderabadUniversity College of Engineering for Women Kakatiya University WarangalTelangana India Department of Computer Science & Engineering VR Siddhartha Engineering College Vijayawada M.Tech student Department of Computer Science & EngineeringVR Siddhartha Engineering College

Large amount of data is being generated from sensors, satellites, social media etc. This big data (velocity, variety, veracity, value and veracity) can be processed so as to make timely decisions by the decision makers. This paper presents results of the proposed Hadoop framework that performs entity resolution in map and reduce phase. mapReduce phase matches two real world objects and generates rules. The similarity score of these rules are used for matching stream data during testing phase. Similarity is calculated using 13 different semantic measures such as token-based similarity, edit-based similarity, hybrid similarity, phonetic similarity as well as domain dependent Natural language processing measures. Semantic measures are implemented using Hive programming. The proposed system is tested using e-catalogues of Amazon and Google.

关键词： Big data Entity Resolution Hadoop Framework Hive Stream Processing

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Filtered Wall: Providing Services based on User Interest in Online Social Networks

Filtered Wall: Providing Services based on User Interest in ...

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International Conference on computer science and Business Intelligence(ICCSBI)

作者： Sangeetha.R Swarnalatha.K M.Tech Computer Science & Engineering)GSSSIETW

In recent years, Online Social Networks(OSNs) are one of the most popular and powerful interactive medium to communicate and share a considerable amount of human life information. The best entertainment for the people is given in the form of Social Networking sites. But the fundamental issues in OSNs are to give the users the ability to control the information posted on their private walls and to validate the data inputted by the users. The aim of the present work is therefore to propose and experimentally examining an automated system, called Filtered Wall(FW) able to filter undesired information from OSN user wall and to check whether the data inputted by the user is valid or not. The system use a machine Learning based text classifier to enforce customizable Content-based Filtering and it give users the ability to control the information posted on their own private space to avoid that undesired information to be displayed in online social networking environment and to validate the data inputted by the user.

关键词： FW,OSNs,mL based text classifier,Content-filtering,Policy based personalization

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An improved method for scalability issue in wireless sensor networks

An improved method for scalability issue in wireless sensor ...

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International Conference on Innovations in Information,Embedded and Communication Systems (ICIIECS)

作者： Swati V. Dhage Amit N. Thakare Sudhir W. mohod M.Tech Department of Computer Science and Engineering Bapurao Deshmukh College of Engineering Sevagram India

The property of scalability for a given system indicates the ability of a system or a subsystem to be modified with changing load on the system. For a sufficiently large complex system, there are several factors that influence the ability of the system to scale. It is necessary to incorporate solutions to these factors (or bottlenecks) in the design for scalability of a given system. Sensor networks have all the basic features of ad hoc networks but to different degrees - for example, much lower mobility and much more stringent energy *** design principles to handle the key factors that influence the scalability of large complex systems are explained further. Protocols can support simple, innovative, and relatively less expensive methodology to guarantee that a large complex system (such as network of sensors) is scalable under varying load conditions. These sensor networks connect large numbers of independent sensor nodes to make measurements of interest over a geographic region. Because of their small physical size and low cost, sensor nodes have a number of constraints in their operation: they have limited processing ability, limited storage on the node itself, and limited power. A sensor network system and protocol design aims to reduce and optimize the power usage of sensor nodes. Here the current state of research and evaluate open issue scalability in development of scalable wireless sensor networks is analyzed.

关键词： Wireless sensor networks Wireless communication Indexes Protocols Artificial neural networks Scalability

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Performance Evaluation of DSR, AODV and DSDV Routing Protocol for Wireless Adhoc Network

Performance Evaluation of DSR, AODV and DSDV Routing Protoco...

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IEEE International Conference on Computational Intelligence & Communication technology (CICT)

作者： mayank Gupta Sachin Kumar M.tech Department of Computer Science and Engg Ajay Kumar Garg Engineering College Ghaziabad India

In today's scenario, mANET is become prominent because of its small size and large computing capabilities. Routing is exceptionally significant issue as we have to transfer the message from source to sink which is very critical because the guarantee of delivery of message is not present. Hence there are different routing protocols are present in adhoc network which are responsible for the communication purpose for e.g., DSR, AODV, TORA, etc. These protocol works only with the assumption that if network is completely connected, it means source and sink are in the same network or there is end-to-end path exist between them. But when network is not completely connected then the problem arise that how we can communicate between source and sink node. In this paper, a review of different protocols is present that which protocol should be helpful in this scenario. Also, the comparison is done between DSR, AODV and DSDV on various parameters using the simulator.

关键词： Routing protocols Routing mobile ad hoc networks Throughput Delays maintenance engineering

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Survey paper on various techniques of recognition and tracking

Survey paper on various techniques of recognition and tracki...

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International Conference on Advances in computer engineering and Applications (ICACEA)

作者： Namrata Jaiswal Vishan Kumar Gupta Asmita mishra M.Tech IMS Engineering college Ghaziabad India Department of Computer Science and Engineering IMS Engineering College Ghaziabad India Computer Science and Engineering IMS Engineering college Ghaziabad India

ISBN: (纸本)9781467369121

This paper describes different methods used for identification and tracking of player and license plate. Although object (Player and license plate) recognition have projected many challenges because the algorithms did not give correct results. But time to time, several techniques are discovered to identify the object. In this survey paper, we describe and compare many techniques of identification through table and bar graph.

关键词： Licenses Vehicles Character recognition Image color analysis Image segmentation Hidden markov models Object recognition

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Important factors for estimating reliability of SOA

Important factors for estimating reliability of SOA

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International Conference on Advances in computer engineering and Applications (ICACEA)

作者： Neha Singh Kirti Tyagi M.Tech Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India Department of Computer Science and Engineering Ajay Kumar Garg Engineering College Ghaziabad India

Service-Oriented Architecture (SOA) is basically a collection of individual services and these services interact with hence. Each interaction is loosely coupled and self-contained, so that each interaction is independent of any other interaction. Due to its complex nature, reliability estimation is a very tedious task. In any software system, reliability is one of the most important nonfunctional requirement and there are many factors that affect the systems reliability. In the previous work, there were many factors defined to estimate the reliability of a software system. In this paper, some new factors have been defined that affect SOA reliability.

关键词： Service-oriented architecture Software reliability mathematical model Servers Redundancy

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