Computer Science & Information Technology

Computer Science & Information Technology

Chennai, India, March 07 ~ 08 - 2015 | Sundarapandian Vaidyanathan, Jan Zizka (Eds)
The document provides an overview of the Second International Conference on Information Technology, Control, Chaos, Modeling and Applications (ITCCMA-2015), which was held in Chennai, India, from March 7-8, 2015. The conference aimed to bring together researchers and practitioners from academia and industry to focus on understanding computer science and information technology and to establish new collaborations in these areas. It featured presentations on a wide range of topics, including fuzzy logic systems, signal and image processing, data mining, and natural language computing. The conference attracted many local and international delegates, presenting a balanced mixture of intellectual contributions from both Eastern and Western perspectives. The book is a collection of papers from ITCCMA-2015, along with contributions from other related conferences: FUZZY 2015, SIGEM 2015, DMDBS 2015, and NATL 2015. The papers cover a variety of topics, including Android applications for system monitoring, chaotic color image encryption algorithms, sensorless vector control of BLDC motors, data mining using neural networks, and Facebook implementation in developing English writing skills. The preface highlights the importance of the conference in fostering scientific exchange and collaboration among researchers, scientists, engineers, students, and practitioners. It acknowledges the efforts of the organizing and technical committees, as well as the reviewers, for their contributions to the success of the conference. The book concludes with a call for continued professional dialogue and the hope that the friendships and collaborations forged during the event will continue to thrive. The organization section lists the general chair, program committee members, and sponsors of the conference. The content section includes detailed abstracts and references for each paper, providing insights into the research presented at the conference.The document provides an overview of the Second International Conference on Information Technology, Control, Chaos, Modeling and Applications (ITCCMA-2015), which was held in Chennai, India, from March 7-8, 2015. The conference aimed to bring together researchers and practitioners from academia and industry to focus on understanding computer science and information technology and to establish new collaborations in these areas. It featured presentations on a wide range of topics, including fuzzy logic systems, signal and image processing, data mining, and natural language computing. The conference attracted many local and international delegates, presenting a balanced mixture of intellectual contributions from both Eastern and Western perspectives. The book is a collection of papers from ITCCMA-2015, along with contributions from other related conferences: FUZZY 2015, SIGEM 2015, DMDBS 2015, and NATL 2015. The papers cover a variety of topics, including Android applications for system monitoring, chaotic color image encryption algorithms, sensorless vector control of BLDC motors, data mining using neural networks, and Facebook implementation in developing English writing skills. The preface highlights the importance of the conference in fostering scientific exchange and collaboration among researchers, scientists, engineers, students, and practitioners. It acknowledges the efforts of the organizing and technical committees, as well as the reviewers, for their contributions to the success of the conference. The book concludes with a call for continued professional dialogue and the hope that the friendships and collaborations forged during the event will continue to thrive. The organization section lists the general chair, program committee members, and sponsors of the conference. The content section includes detailed abstracts and references for each paper, providing insights into the research presented at the conference.
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[slides and audio] Computer Science %26 Information Technology (CS %26 IT)