This book consists of peer-reviewed papers presented at the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020). It comprises interesting topics in the field of application...
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ISBN:
(数字)9789811584398
ISBN:
(纸本)9789811584381;9789811584411
This book consists of peer-reviewed papers presented at the First International Conference on Intelligent Computing in Control and Communication (ICCC 2020). It comprises interesting topics in the field of applications of control engineering, communication and computing technology. As the current world is witnessing the use of various intelligent techniques for their independent problem solving, so this book may have a wide importance for all range of researchers and scholars. The book serves as a reference for researchers, professionals and students from across electrical, electronic and computerengineering disciplines.
This book features selected high-quality papers from the Second International Conference on Innovation in Electrical Power engineering, Communication, and Computing Technology (IEPCCT 2021), held at Siksha 'O'...
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ISBN:
(数字)9789811670763
ISBN:
(纸本)9789811670756;9789811670787
This book features selected high-quality papers from the Second International Conference on Innovation in Electrical Power engineering, Communication, and Computing Technology (IEPCCT 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, on 24–26 September 2021. Presenting innovations in power, communication, and computing, it covers topics such as mini, micro, smart and future power grids; power system economics; energy storage systems; intelligent control; power converters; improving power quality; signal processing; sensors and actuators; image/video processing; high-performance data mining algorithms; advances in deep learning; and optimization methods.
The growth of the Internet has prompted tremendous opportunities for cooperative computation, where people are jointly conducting computation tasks based on the private inputs they each supplies. These computations ca...
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ISBN:
(纸本)9780769542621
The growth of the Internet has prompted tremendous opportunities for cooperative computation, where people are jointly conducting computation tasks based on the private inputs they each supplies. These computations can occur between mutually untrusted parties, or even between competitors. For example, customers might send to a remote database queries that contain private information; two competing financial organizations might jointly invest in a project that must satisfy both organizations private and valuable constraints, and so on. Today, to conduct such computations, one entity must usually know the inputs from all the participants; however if nobody can be trusted enough to know all the inputs, privacy will become a primary concern. This problem is referred to as Secure Multiparty Computation Problem (SMC) in the literature. Research in the SMC area has been focusing on only a limited set of specific SMC problems, while privacy concerned cooperative computations call for SMC studies in a variety of computation domains. Before we can study the problems, we need to identify and define the specific SMC problems for those computation domains. We have developed a scaffold to facilitate this problem-discovery task. Based on our framework, we have identified and defined a number of SMC problems for a range of computation domains. The goal of this paper is not only to present our results, but also to serve as a guideline so other people can identify useful SMC problems in their own computation fields. During computation of inputs, we had also considered the factor, what if trusted third parties are malicious? Considering different probabilities for the malicious users, we have tried to find out the correctness of the result and percentage of system acceptability. We then tried to increase the number of TTP's in order to get the accuracy of the result. The aim of our proposed work is to identify what probability of malicious users will lead to the system in an unaccepta
This book features high-quality research papers presented at the 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024), held at Maharaja Sriram Chandra Bhanja Deo University (MS...
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ISBN:
(数字)9789819780938
ISBN:
(纸本)9789819780921
This book features high-quality research papers presented at the 6th International Conference on Computational Intelligence in Pattern Recognition (CIPR 2024), held at Maharaja Sriram Chandra Bhanja Deo University (MSCB University), Baripada, Odisha, India, during March 15–16, 2024. It includes practical development experiences in various areas of data analysis and pattern recognition, focusing on soft computing technologies, clustering and classification algorithms, rough set and fuzzy set theory, evolutionary computations, neural science and neural network systems, image processing, combinatorial pattern matching, social network analysis, audio and video data analysis, data mining in dynamic environments, bioinformatics, hybrid computing, big data analytics, and deep learning. It also provides innovative solutions to the challenges in these areas and discusses recent developments.
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