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Intelligent Computing, Smart Communication and Network Technologies: First International Conference, ICICSCNT 2023, Chennai, India, May 17-18, 2023, Proceedings (Communications in Computer and Information Science #1970)
by Paulraj Dassan Sethukarasi Thirumaaran Neelakandan SubramaniThis book constitutes the refereed proceedings of the First International Conference on Intelligent Computing, Smart Communication and Network Technologies, ICICSCNT 2023, held in Chennai, India, during April 26–27, 2023. The 36 full papers included in this book were carefully reviewed and selected from 782 submissions. The main aim of ICICSCNT 2023 is to present the state-of-the-art research innovations and results in the area of intelligent systems and advanced control technologies and real-world applications in ICT research, particularly covering autonomous systems, artificial intelligence, sensing, hardware and software implementation, soft computing, optimization, intelligent control design, intelligent system integration and control applications, and other relevant research areas.
Intelligent Computing Systems: 4th International Symposium, ISICS 2022, Santiago, Chile, March 23–25, 2022, Proceedings (Communications in Computer and Information Science #1569)
by Carlos Brito-Loeza Anabel Martin-Gonzalez Victor Castañeda-Zeman Asad SafiThis book constitutes the proceedings of the 4th International Symposium on Intelligent Computing Systems, ISICS 2022, held in Santiago, Chile, in March 2022. Due to the COVID-19 pandemic the conference was held online. The 9 full papers along with 2 short papers presented in this volume were carefully reviewed and selected from 30 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.
Intelligent Computing Systems: Third International Symposium, ISICS 2020, Sharjah, United Arab Emirates, March 18–19, 2020, Proceedings (Communications in Computer and Information Science #1187)
by Anabel Martin-Gonzalez Carlos Brito-Loeza Arturo Espinosa-Romero Asad SafiThis book constitutes the proceedings of the Third International Symposium on Intelligent Computing Systems, ISICS 2020, held in Sharjah, United Arab Emirates, in March 2020. The 13 full papers presented in this volume were carefully reviewed and selected from 46 submissions. They deal with the field of intelligent computing systems focusing on artificial intelligence, computer vision and image processing.
Intelligent Computing Systems: 5th International Symposium, ISICS 2024, Sharjah, United Arab Emirates, November 6–7, 2024, Proceedings (Communications in Computer and Information Science #2381)
by Asad Safi Anabel Martin-Gonzalez Carlos Brito-Loeza Victor Castañeda-ZemanThis book constitutes the proceedings of the 5th International Symposium on Intelligent Computing Systems, ISICS 2024, held in Sharjah, United Arab Emirates, during November 6-7, 2024. The 25 full papers included in this book were carefully reviewed and selected from 71 submissions. They focus on research and practice in the fields of artificial intelligence, computer vision, and image processing.
Intelligent Computing Systems and Applications: Proceedings of the 2nd International Conference, ICICSA 2023 (Lecture Notes in Networks and Systems #1010)
by Sivaji Bandyopadhyay Valentina Emilia Balas Saroj Kumar Biswas Anish Kumar Saha Dalton Meitei ThounaojamThe book includes peer-reviewed papers presented at the 2nd International Conference on Intelligent Computing Systems and Applications (ICICSA 2023). The book discusses the most recent advances in artificial intelligence, machine learning, data science, natural language processing, computer vision, image processing, embedded systems, robotics, IoT, computer networking and communications, optimization, security, and cryptography, among other topics. It also discusses several application areas and modeling methodologies in many fields. This book will be useful for researchers and academics working in relevant fields.
Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2018 (Lecture Notes in Electrical Engineering #607)
by Akhtar Kalam Khaleequr Rehman Niazi Amit Soni Shahbaz Ahmed Siddiqui Ankit MundraThe book compiles the research works related to smart solutions concept in context to smart energy systems, maintaining electrical grid discipline and resiliency, computational collective intelligence consisted of interaction between smart devices, smart environments and smart interactions, as well as information technology support for such areas. It includes high-quality papers presented in the International Conference on Intelligent Computing Techniques for Smart Energy Systems organized by Manipal University Jaipur. This book will motivate scholars to work in these areas. The book also prophesies their approach to be used for the business and the humanitarian technology development as research proposal to various government organizations for funding approval.
Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2023, Volume 2 (Lecture Notes in Electrical Engineering #1277)
by Anshuman Tripathi Amit Soni Manish Tiwari Anil Swarnkar Jagrati SahariyaThis book compiles the best selected research papers presented during the 3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2023), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with broad range of the topics is thoroughly peer-reviewed and published on suitable recommendations.
Intelligent Computing Techniques for Smart Energy Systems: Proceedings of ICTSES 2023, Volume 1 (Lecture Notes in Electrical Engineering #1276)
by Anshuman Tripathi Amit Soni Manish Tiwari Anil Swarnkar Jagrati SahariyaThis book compiles the best selected research papers presented during the 3rd International Conference on Intelligent Computing Techniques for Smart Energy Systems (ICTSES 2023), held at Manipal University, Jaipur, Rajasthan, India. It presents the diligent work of the research community where intelligent computing techniques are applied in allied fields of engineering ranging from engineering materials to electrical engineering to electronics and communication engineering- to computer-related fields. The theoretical research concepts are supported with extensive reviews highlighting the trends in the possible and real-life applications of computational intelligence. The high-quality content with a broad range of topics is thoroughly peer-reviewed and published on suitable recommendations.
Intelligent Computing Theories and Application: 18th International Conference, ICIC 2022, Xi'an, China, August 7–11, 2022, Proceedings, Part I (Lecture Notes in Computer Science #13393)
by De-Shuang Huang Kang-Hyun Jo Junfeng Jing Prashan Premaratne Vitoantonio Bevilacqua Abir HussainThis two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed proceedings of the 18th International Conference on Intelligent Computing, ICIC 2022, held in Xi'an, China, in August 2022. The 209 full papers of the three proceedings volumes were carefully reviewed and selected from 449 submissions.This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Intelligent Computing Theories and Application: 18th International Conference, ICIC 2022, Xi'an, China, August 7–11, 2022, Proceedings, Part II (Lecture Notes in Computer Science #13394)
by De-Shuang Huang Kang-Hyun Jo Junfeng Jing Prashan Premaratne Vitoantonio Bevilacqua Abir HussainThis two-volume set of LNCS 13393 and LNCS 13394 constitutes - in conjunction with the volume LNAI 13395 - the refereed proceedings of the 18th International Conference on Intelligent Computing, ICIC 2022, held in Xi'an, China, in August 2022. The 209 full papers of the three proceedings volumes were carefully reviewed and selected from 449 submissions.This year, the conference concentrated mainly on the theories and methodologies as well as the emerging applications of intelligent computing. Its aim was to unify the picture of contemporary intelligent computing techniques as an integral concept that highlights the trends in advanced computational intelligence and bridges theoretical research with applications. Therefore, the theme for this conference was “Advanced Intelligent Computing Technology and Applications”. Papers focused on this theme were solicited, addressing theories, methodologies, and applications in science and technology.
Intelligent Condition Based Monitoring: For Turbines, Compressors, and Other Rotating Machines (Studies in Systems, Decision and Control #256)
by Nishchal K. Verma Al SalourThis book discusses condition based monitoring of rotating machines using intelligent adaptive systems. The book employs computational intelligence and fuzzy control principles to deliver a module that can adaptively monitor and optimize machine health and performance. This book covers design and performance of such systems and provides case studies and data models for fault detection and diagnosis. The contents cover everything from optimal sensor positioning to fault diagnosis. The principles laid out in this book can be applied across rotating machinery such as turbines, compressors, and aircraft engines. The adaptive fault diagnostics systems presented can be used in multiple time and safety critical applications in domains such as aerospace, automotive, deep earth and deep water exploration, and energy.
Intelligent Control: Fuzzy Logic Applications (International Series On Computational Intelligence Ser. #6)
by Clarence W. de SilvaThe emergence of fuzzy logic and its applications has dramatically changed the face of industrial control engineering. Over the last two decades, fuzzy logic has allowed control engineers to meet and overcome the challenges of developing effective controllers for increasingly complex systems with poorly defined dynamics. Today's engineers need a working knowledge of the principles and techniques of fuzzy logic-Intelligent Control provides it.The author first introduces the traditional control techniques and contrasts them with intelligent control. He then presents several methods of representing and processing knowledge and introduces fuzzy logic as one such method. He highlights the advantages of fuzzy logic over other techniques, indicates its limitations, and describes in detail a hierarchical control structure appropriate for use in intelligent control systems. He introduces a variety of applications, most in the areas of robotics and mechatronics but with others including air conditioning and process/production control. One appendix provides discussion of some advanced analytical concepts of fuzzy logic, another describes a commercially available software system for developing fuzzy logic application.Intelligent Control is filled with worked examples, exercises, problems, and references. No prior knowledge of the subject nor advanced mathematics are needed to comprehend much of the book, making it well-suited as a senior undergraduate or first-year graduate text and a convenient reference tool for practicing professionals.
Intelligent Control: A Stochastic Optimization Based Adaptive Fuzzy Approach (Cognitive Intelligence and Robotics)
by Kaushik Das Sharma Amitava Chatterjee Anjan RakshitThis book discusses systematic designs of stable adaptive fuzzy logic controllers employing hybridizations of Lyapunov strategy-based approaches/H∞ theory-based approaches and contemporary stochastic optimization techniques. The text demonstrates how candidate stochastic optimization techniques like Particle swarm optimization (PSO), harmony search (HS) algorithms, covariance matrix adaptation (CMA) etc. can be utilized in conjunction with the Lyapunov theory/H∞ theory to develop such hybrid control strategies. The goal of developing a series of such hybridization processes is to combine the strengths of both Lyapunov theory/H∞ theory-based local search methods and stochastic optimization-based global search methods, so as to attain superior control algorithms that can simultaneously achieve desired asymptotic performance and provide improved transient responses. The book also demonstrates how these intelligent adaptive control algorithms can be effectively utilized in real-life applications such as in temperature control for air heater systems with transportation delay, vision-based navigation of mobile robots, intelligent control of robot manipulators etc.
Intelligent Control and Computer Engineering
by Oscar Castillo He Huang Sio-Iong AoA large international conference on Advances in Intelligent Control and Computer Engineering was held in Hong Kong, March 17-19, 2010, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2010). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Control and Computer Engineering contains 25 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, control engineering, decision supporting systems, automated planning, automation systems, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Control and Computer Engineering offers the state of the art of tremendous advances in intelligent control and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent control and computer engineering.
Intelligent Control and Innovative Computing (Lecture Notes in Electrical Engineering #110)
by He Huang Sio Iong Ao Oscar CastilloA large international conference on Advances in Intelligent Control and Innovative Computing was held in Hong Kong, March March 16-18, 2011, under the auspices of the International MultiConference of Engineers and Computer Scientists (IMECS 2010). The IMECS is organized by the International Association of Engineers (IAENG). Intelligent Control and Computer Engineering contains 25 revised and extended research articles written by prominent researchers participating in the conference. Topics covered include artificial intelligence, control engineering, decision supporting systems, automated planning, automation systems, systems identification, modelling and simulation, communication systems, signal processing, and industrial applications. Intelligent Control and Innovative Computing offers the state of the art of tremendous advances in intelligent control and computer engineering and also serves as an excellent reference text for researchers and graduate students, working on intelligent control and computer engineering.
Intelligent Control, Filtering and Model Reduction Analysis for Fuzzy-Model-Based Systems (Studies in Systems, Decision and Control #385)
by Xiaojie Su Yao Wen Yue Yang Peng ShiThis book aims to introduce the state-of-the-art research of stability/performance analysis and optimal synthesis methods for fuzzy-model-based systems. A series of problems are solved with new approaches of design, analysis and synthesis of fuzzy systems, including stabilization control and stability analysis, dynamic output feedback control, fault detection filter design, and reduced-order model approximation. Some efficient techniques, such as Lyapunov stability theory, linear matrix inequality, reciprocally convex approach, and cone complementary linearization method, are utilized in the approaches. This book is a comprehensive reference for researchers and practitioners working on intelligent control, model reduction, and fault detection of fuzzy systems, and is also a useful source of information for senior undergraduates and graduates in these areas. The readers will benefit from some new concepts and methodologies with theoretical and practical significance in system analysis and control synthesis.
Intelligent Control for Modern Transportation Systems
by Arunesh Kumar Singh Bhavnesh Kumar Ibraheem Asheesh Kumar Singh Shahida KhatoonThe book comprehensively discusses concepts of artificial intelligence in green transportation systems. It further covers intelligent techniques for precise modeling of complex transportation infrastructure, forecasting and predicting traffic congestion, and intelligent control techniques for maximizing performance and safety. It further provides MATLAB® programs for artificial intelligence techniques. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems to generate power for electric vehicles. Highlights how different technological advancements have revolutionized the transportation system. Presents core concepts and principles of soft computing techniques in the control and management of modern transportation systems. Discusses important topics such as speed control, fuel control challenges, transport infrastructure modeling, and safety analysis. Showcases MATLAB® programs for artificial intelligence techniques. Discusses roles, implementation, and approaches of different intelligent techniques in the field of transportation systems. It will serve as an ideal text for professionals, graduate students, and academicians in the fields of electrical engineering, electronics and communication engineering, civil engineering, and computer engineering.
Intelligent Control in Drying (Advances in Drying Science and Technology)
by Alex Martynenko and Andreas BückDespite the available general literature in intelligent control, there is a definite lack of knowledge and know-how in practical applications of intelligent control in drying. This book fills that gap. Intelligent Control in Drying serves as an innovative and practical guide for researchers and professionals in the field of drying technologies, providing an overview of control principles and systems used in drying operations, from classical to model-based to adaptive and optimal control. At the same time, it lays out approaches to synthesis of control systems, based on the objectives and control strategies, reflecting complexity of drying process and material under drying. This essential reference covers both fundamental and practical aspects of intelligent control, sensor fusion and dynamic optimization with respect to drying.
Intelligent Control of Connected Plug-in Hybrid Electric Vehicles (Advances in Industrial Control)
by Amir Taghavipour Mahyar Vajedi Nasser L. AzadIntelligent Control of Connected Plug-in Hybrid Electric Vehicles presents the development of real-time intelligent control systems for plug-in hybrid electric vehicles, which involves control-oriented modelling, controller design, and performance evaluation. The controllers outlined in the book take advantage of advances in vehicle communications technologies, such as global positioning systems, intelligent transportation systems, geographic information systems, and other on-board sensors, in order to provide look-ahead trip data. The book contains simple and efficient models and fast optimization algorithms for the devised controllers to address the challenge of real-time implementation in the design of complex control systems. Using the look-ahead trip information, the authors of the book propose intelligent optimal model-based control systems to minimize the total energy cost, for both grid-derived electricity and fuel. The multilayer intelligent control system proposed consists of trip planning, an ecological cruise controller, and a route-based energy management system. An algorithm that is designed to take advantage of previewed trip information to optimize battery depletion profiles is presented in the book. Different control strategies are compared and ways in which connecting vehicles via vehicle-to-vehicle communication can improve system performance are detailed. Intelligent Control of Connected Plug-in Hybrid Electric Vehicles is a useful source of information for postgraduate students and researchers in academic institutions participating in automotive research activities. Engineers and designers working in research and development for automotive companies will also find this book of interest.Advances in Industrial Control reports and encourages the transfer of technology in control engineering. The rapid development of control technology has an impact on all areas of the control discipline. The series offers an opportunity for researchers to present an extended exposition of new work in all aspects of industrial control.
Intelligent Control of Nonlinear Systems and Nonlinear Multi-Agent Systems with Complex Constraints: Unveiling Cutting-Edge Research and Insights (Intelligent Control and Learning Systems #16)
by Hongru Ren Hui Ma Qi Zhou Renquan LuThis book proposes an integrated design method for intelligent adaptive controllers to overcome the negative effects of various constraints on nonlinear systems and nonlinear multiagent systems in practical applications. The book rigorously provides problem analysis, controller design, and stability theory. In addition, numerous simulation examples are given to demonstrate the validity of the corresponding intelligent control methods, and the simulation results are illustrated in detail with graphs and tables. The methods proposed in this book eliminate some limitations of existing control methods in nonlinear systems and nonlinear multiagent systems with complex constraints and broaden the practical applications of intelligent control methods in industrial automation.
Intelligent Control of Robotic Systems
by Laxmidhar Behera Swagat Kumar Prem Kumar Patchaikani Ranjith Ravindranathan Nair Samrat DuttaThis book illustrates basic principles, along with the development of the advanced algorithms, to realize smart robotic systems. It speaks to strategies by which a robot (manipulators, mobile robot, quadrotor) can learn its own kinematics and dynamics from data. In this context, two major issues have been dealt with; namely, stability of the systems and experimental validations. Learning algorithms and techniques as covered in this book easily extend to other robotic systems as well. The book contains MATLAB- based examples and c-codes under robot operating systems (ROS) for experimental validation so that readers can replicate these algorithms in robotics platforms.
Intelligent Control, Robotics, and Industrial Automation: Proceedings of International Conference, RCAAI 2022 (Lecture Notes in Electrical Engineering #1066)
by Sanjay Sharma Bidyadhar Subudhi Umesh Kumar SahuThis volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2022). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.
Intelligent Control, Robotics, and Industrial Automation: Proceedings of International Conference, RCAAI 2023 (Lecture Notes in Electrical Engineering #1220)
by Shilpa Suresh Shyam Lal Mustafa Servet KiranThis volume comprises peer-reviewed proceedings of the International Conference on Robotics, Control, Automation, and Artificial Intelligence (RCAAI 2023). It aims to provide a broad spectrum picture of the state of art research and development in the areas of intelligent control, the Internet of Things, machine vision, cybersecurity, robotics, circuits, and sensors, among others. This volume will provide a valuable resource for those in academia and industry.
Intelligent Control Systems Using Soft Computing Methodologies
by Ali Zilouchian Mo JamshidiIn recent years, intelligent control has emerged as one of the most active and fruitful areas of research and development. Until now, however, there has been no comprehensive text that explores the subject with focus on the design and analysis of biological and industrial applications. Intelligent Control Systems Using Soft Computing Methodologies does all that and more.Beginning with an overview of intelligent control methodologies, the contributors present the fundamentals of neural networks, supervised and unsupervised learning, and recurrent networks. They address various implementation issues, then explore design and verification of neural networks for a variety of applications, including medicine, biology, digital signal processing, object recognition, computer networking, desalination technology, and oil refinery and chemical processes.The focus then shifts to fuzzy logic, with a review of the fundamental and theoretical aspects, discussion of implementation issues, and examples of applications, including control of autonomous underwater vehicles, navigation of space vehicles, image processing, robotics, and energy management systems. The book concludes with the integration of genetic algorithms into the paradigm of soft computing methodologies, including several more industrial examples, implementation issues, and open problems and open problems related to intelligent control technology.Suitable as a textbook or a reference, Intelligent Control Systems explores recent advances in the field from both the theoretical and the practical viewpoints. It also integrates intelligent control design methodologies to give designers a set of flexible, robust controllers and provide students with a tool for solving the examples and exercises within the book.
Intelligent Control Systems with an Introduction to System of Systems Engineering
by Thrishantha Nanayakkara Mo Jamshidi Ferat SahinFrom aeronautics and manufacturing to healthcare and disaster management, systems engineering (SE) now focuses on designing applications that ensure performance optimization, robustness, and reliability while combining an emerging group of heterogeneous systems to realize a common goal. Use SoS to Revolutionize Management of Large Organizations, Factories, and Systems Intelligent Control Systems with an Introduction to System of Systems Engineering integrates the fundamentals of artificial intelligence and systems control in a framework applicable to both simple dynamic systems and large-scale system of systems (SoS). For decades, NASA has used SoS methods, and major manufacturers—including Boeing, Lockheed-Martin, Northrop-Grumman, Raytheon, BAE Systems—now make large-scale systems integration and SoS a key part of their business strategies, dedicating entire business units to this remarkably efficient approach.Simulate Novel Robotic Systems and ApplicationsTranscending theory, this book offers a complete and practical review of SoS and some of its fascinating applications, including: Manipulation of robots through neural-based network control Use of robotic swarms, based on ant colonies, to detect mines Other novel systems in which intelligent robots, trained animals, and humans cooperate to achieve humanitarian objectives Training engineers to integrate traditional systems control theory with soft computing techniques further nourishes emerging SoS technology. With this in mind, the authors address the fundamental precepts at the core of SoS, which uses human heuristics to model complex systems, providing a scientific rationale for integrating independent, complex systems into a single coordinated, stabilized, and optimized one. They provide readers with MATLAB® code, which can be downloaded from the publisher's website to simulate presented results and projects that offer practical, hands-on experience using concepts discussed throughout the book.