Advanced Computational Methods in Life System Modeling and Simulation

Advanced Computational Methods in Life System Modeling and Simulation PDF Author: Minrui Fei
Publisher: Springer
ISBN: 9811063702
Category : Computers
Languages : en
Pages : 615

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Book Description
The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration

Advanced Computational Methods in Energy, Power, Electric Vehicles, and Their Integration PDF Author: Kang Li
Publisher: Springer
ISBN: 9811063648
Category : Computers
Languages : en
Pages : 824

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Book Description
The three-volume set CCIS 761, CCIS 762, and CCIS 763 constitutes the thoroughly refereed proceedings of the International Conference on Life System Modeling and Simulation, LSMS 2017, and of the International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2017, held in Nanjing, China, in September 2017. The 208 revised full papers presented were carefully reviewed and selected from over 625 submissions. The papers of this volume are organized in topical sections on: Biomedical Signal Processing; Computational Methods in Organism Modeling; Medical Apparatus and Clinical Applications; Bionics Control Methods, Algorithms and Apparatus; Modeling and Simulation of Life Systems; Data Driven Analysis; Image and Video Processing; Advanced Fuzzy and Neural Network Theory and Algorithms; Advanced Evolutionary Methods and Applications; Advanced Machine Learning Methods and Applications; Intelligent Modeling, Monitoring, and Control of Complex Nonlinear Systems; Advanced Methods for Networked Systems; Control and Analysis of Transportation Systems; Advanced Sliding Mode Control and Applications; Advanced Analysis of New Materials and Devices; Computational Intelligence in Utilization of Clean and Renewable Energy Resources; Intelligent Methods for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Computing and Control in Power Systems; Modeling, Simulation and Control in Smart Grid and Microgrid; Optimization Methods; Computational Methods for Sustainable Environment.

Advanced Computer Performance Modeling and Simulation

Advanced Computer Performance Modeling and Simulation PDF Author: Kallol Bagchi
Publisher: CRC Press
ISBN: 1040284434
Category : Computers
Languages : en
Pages : 356

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Book Description
Addresses the major issues involved in computer design and architectures. Dealing primarily with theory, tools, and techniques as related to advanced computer systems, it provides tutorials and surveys and relates new important research results. Each chapter provides background information, describes and analyzes important work done in the field, and provides important direction to the reader on future work and further readings. The topics covered include hierarchical design schemes, parallel and distributed modeling and simulation, parallel simulation tools and techniques, theoretical models for formal and performance modeling, and performance evaluation techniques.

Introduction to Computational Science

Introduction to Computational Science PDF Author: Angela B. Shiflet
Publisher: Princeton University Press
ISBN: 140085055X
Category : Computers
Languages : en
Pages : 857

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Book Description
The essential introduction to computational science—now fully updated and expanded Computational science is an exciting new field at the intersection of the sciences, computer science, and mathematics because much scientific investigation now involves computing as well as theory and experiment. This textbook provides students with a versatile and accessible introduction to the subject. It assumes only a background in high school algebra, enables instructors to follow tailored pathways through the material, and is the only textbook of its kind designed specifically for an introductory course in the computational science and engineering curriculum. While the text itself is generic, an accompanying website offers tutorials and files in a variety of software packages. This fully updated and expanded edition features two new chapters on agent-based simulations and modeling with matrices, ten new project modules, and an additional module on diffusion. Besides increased treatment of high-performance computing and its applications, the book also includes additional quick review questions with answers, exercises, and individual and team projects. The only introductory textbook of its kind—now fully updated and expanded Features two new chapters on agent-based simulations and modeling with matrices Increased coverage of high-performance computing and its applications Includes additional modules, review questions, exercises, and projects An online instructor's manual with exercise answers, selected project solutions, and a test bank and solutions (available only to professors) An online illustration package is available to professors

Computational Techniques in Modeling and Simulation

Computational Techniques in Modeling and Simulation PDF Author: Victor Krasnoproshin
Publisher: Nova Science Publishers
ISBN: 9781628080179
Category : Business & Economics
Languages : en
Pages : 0

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Book Description
This volume is concerned with Computational Techniques in Modeling and Simulation. Initially, there are four research papers and apart from those, the rest of the research papers are coming from the International Conference on Modeling and Simulation (MS2012), held in Minsk, 24 May 2012. MS'12 was co-organised by the AMSE Association and the Belarusian State University in co-operation with other scientific establishments: the Belarusian Academy of Sciences (United Institute of Problems of Informatics), the Belarusian Society of International Association of Pattern Recognition and the International Association for Fuzzy Set Management and Economy (SIGEF, Spain). The Conference was sponsored by the Belarusian State University and Byelex Multimedia Products BV (The Netherlands). It offered a unique opportunity for researchers, professionals and students to share ideas concerning modelling, simulation and implementation of the results in the real world.We would like to thank all contributors, referees, honorary committees for their co-operation within MS'12, in particular: Jaime Gil Aluja (AMSE President), Sergey Ablameyko (the Rector of the Belarusian State University) as honorary chairmen.

Computer Vision and Machine Learning in Agriculture, Volume 3

Computer Vision and Machine Learning in Agriculture, Volume 3 PDF Author: Jagdish Chand Bansal
Publisher: Springer Nature
ISBN: 981993754X
Category : Technology & Engineering
Languages : en
Pages : 215

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Book Description
This book is as an extension of the previous two volumes on “Computer Vision and Machine Learning in Agriculture”. This volume 3 discusses solutions to the problems of agricultural production by rendering advanced machine learning including deep learning tools and techniques. The book contains 13 chapters that focus on in-depth research outputs in precision agriculture, crop farming, horticulture, floriculture, vertical farming, animal husbandry, disease detection, plant recognition, production yield, product quality, defect assessment, and overall automation through robots and drones. The topics covered in the current volume, along with the previous volumes, are comprehensive literature for both beginners and experienced in this domain.

Handbook of Research on Machine and Deep Learning Applications for Cyber Security

Handbook of Research on Machine and Deep Learning Applications for Cyber Security PDF Author: Ganapathi, Padmavathi
Publisher: IGI Global
ISBN: 1522596135
Category : Computers
Languages : en
Pages : 506

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Book Description
As the advancement of technology continues, cyber security continues to play a significant role in today’s world. With society becoming more dependent on the internet, new opportunities for virtual attacks can lead to the exposure of critical information. Machine and deep learning techniques to prevent this exposure of information are being applied to address mounting concerns in computer security. The Handbook of Research on Machine and Deep Learning Applications for Cyber Security is a pivotal reference source that provides vital research on the application of machine learning techniques for network security research. While highlighting topics such as web security, malware detection, and secure information sharing, this publication explores recent research findings in the area of electronic security as well as challenges and countermeasures in cyber security research. It is ideally designed for software engineers, IT specialists, cybersecurity analysts, industrial experts, academicians, researchers, and post-graduate students.

Advances in Internet, Data & Web Technologies

Advances in Internet, Data & Web Technologies PDF Author: Leonard Barolli
Publisher: Springer
ISBN: 3319759280
Category : Technology & Engineering
Languages : en
Pages : 1108

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Book Description
This book presents original contributions on the theories and practices of emerging Internet, data and Web technologies and their applicability in businesses, engineering and academia, focusing on advances in the life-cycle exploitation of data generated from the digital ecosystem data technologies that create value, e.g. for businesses, toward a collective intelligence approach. The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among these, data and web technologies are two of the most prominent paradigms and are found in a variety of forms, such as data centers, cloud computing, mobile cloud, and mobile Web services. These technologies together create a digital ecosystem whose cornerstone is the data cycle, from capturing to processing, analyzing and visualizing. The investigation of various research and development issues in this digital ecosystem are made more pressing by the ever-increasing requirements of real-world applications that are based on storing and processing large amounts of data. The book is a valuable resource for researchers, software developers, practitioners and students interested in the field of data and web technologies.

Smart Metering

Smart Metering PDF Author: VIjay K. Sood
Publisher: Elsevier
ISBN: 0443155860
Category : Technology & Engineering
Languages : en
Pages : 290

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Book Description
Smart Metering: Infrastructure, Methodologies, Applications and Challenges combines the fundamentals of smart meters in smart grids with the latest advances and technologies in advanced smart infrastructure. With a strong focus on practical guidance and applications, this book examines the design and implementation of smart meters, as well as cyber security and data management challenges. Following an introduction to smart grid architecture, the book details design elements of smart meters to enable them for specific applications, such as recording the energy consumption of users, load forecasting, resilience enhancement and energy theft detection. A deep dive into smart meter data analytics is then presented, accompanied by load forecasting methods and their advantages and challenges. Subsequent chapters also discuss outage management, fault identification and other applications of smart meters, including power network connection verifications. This is a comprehensive resource on smart metering and a valuable read to students, researchers and engineers interested in power systems engineering, smart grids, and smart energy technologies. - Discusses advanced architecture in the context of establishing smart meters in smart grids for enhanced operation and data utilization - Provides detailed discussions on smart meter data analysis - Explores the design of smart meters and possible implementation of AI, ML, and other advanced methodologies to enhance the functions of power systems using smart meter data

Intelligent Life System Modelling, Image Processing and Analysis

Intelligent Life System Modelling, Image Processing and Analysis PDF Author: Minrui Fei
Publisher: Springer Nature
ISBN: 9811672075
Category : Computers
Languages : en
Pages : 324

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Book Description
This three-volume set CCIS 1467, CCIS 1468, and CCIS 1469 constitutes the thoroughly refereed proceedings of the 7th International Conference on Life System Modeling and Simulation, LSMS 2021, and of the 7th International Conference on Intelligent Computing for Sustainable Energy and Environment, ICSEE 2021, held in Hangzhou, China, in October 2021. The 159 revised papers presented were carefully reviewed and selected from over 430 submissions. The papers of this volume are organized in topical sections on: Medical Imaging and Analysis Using Intelligence Computing; Biomedical signal processing, imaging, visualization and surgical robotics; Computational method in taxonomy study and neural dynamics; Intelligent medical apparatus, clinical applications and intelligent design of biochips; Power and Energy Systems; Computational Intelligence in Utilization of Clean and Renewable Energy Resources, and Intelligent Modelling, Control and Supervision for Energy Saving and Pollution Reduction; Intelligent Methods in Developing Electric Vehicles, Engines and Equipment; Intelligent Control Methods in Energy Infrastructure Development and Distributed Power Generation Systems; Intelligent Modeling, Simulation and Control of Power Electronics and Power Networks; Intelligent Techniques for Sustainable Energy and Green Built Environment, Water Treatment and Waste Management; Intelligent Robot and Simulation; Intelligent Data Processing, Analysis and Control in Complex Systems; Advanced Neural Network Theory and Algorithms; Advanced Computational Methods and Applications; Fuzzy, Neural, and Fuzzy-neuro Hybrids; Intelligent Modelling, Monitoring, and Control of Complex Nonlinear Systems; Intelligent manufacturing, autonomous systems, intelligent robotic systems; Computational Intelligence and Applications.