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Soft Computing: State of the Art Theory and Novel Applications (Studies in Fuzziness and Soft Computing)
by Marek Z. Reformat Shahnaz N. Shahbazova Ronald R. Yager Ali M. AbbasovThis book is a tribute to Lotfi A. Zadeh, the father of fuzzy logic, on the occasion of his 90th Birthday. The book gathers original scientific contributions written by top scientists and presenting the latest theories, applications and new trends in the fascinating and challenging field of soft computing.
Soft Computing Systems: Second International Conference, ICSCS 2018, Kollam, India, April 19–20, 2018, Revised Selected Papers (Communications in Computer and Information Science #837)
by Ivan Zelinka Roman Senkerik Ganapati Panda Padma Suresh Lekshmi KanthanThis book (CCIS 837) constitutes the refereed proceedings of the Second International Conference on Soft Computing Systems, ICSCS 2018, held in Sasthamcotta, India, in April 2018. The 87 full papers were carefully reviewed and selected from 439 submissions. The papers are organized in topical sections on soft computing, evolutionary algorithms, image processing, deep learning, artificial intelligence, big data analytics, data minimg, machine learning, VLSI, cloud computing, network communication, power electronics, green energy.
Soft Computing Techniques and Applications: Proceeding of the International Conference on Computing and Communication (IC3 2020) (Advances in Intelligent Systems and Computing #1248)
by Samarjeet Borah Ratika Pradhan Nilanjan Dey Phalguni GuptaFocusing on soft computing techniques and application in various engineering research domains, this book presents the state-of-the-art outcomes from ongoing research works being conducted in various research laboratories and educational institutions. The included research works deal with estimated models and give resolutions to complex real-life issues. In the field of evolutionary computing and other domains of applications, such as, data mining and fuzzy logic, soft computing techniques play an incomparable role, where it successfully handles contemporary computationally intensive and complex problems that have usually appeared to be inflexible to traditional mathematical methods. Comprising the concepts and applications of soft computing with other emerging research domains, this book cherishes varieties of modern applications in the fields of natural language processing, image processing, biomedical engineering, communication, control systems, circuit design etc.
Soft Computing Techniques in Engineering Applications: Icsctea 2013, September 25-27, 2013, Kunming, China (Studies in Computational Intelligence #543)
by Srikanta Patnaik Baojiang ZhongThe Soft Computing techniques, which are based on the information processing of biological systems are now massively used in the area of pattern recognition, making prediction & planning, as well as acting on the environment. Ideally speaking, soft computing is not a subject of homogeneous concepts and techniques; rather, it is an amalgamation of distinct methods that confirms to its guiding principle. At present, the main aim of soft computing is to exploit the tolerance for imprecision and uncertainty to achieve tractability, robustness and low solutions cost. The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory. This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering.
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences (Edge AI in Future Computing)
by Pradip Debnath S. A. MohiuddineSoft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.
Soft Computing Techniques in Engineering, Health, Mathematical and Social Sciences (Edge AI in Future Computing)
by Pradip Debnath S. A. MohiuddineSoft computing techniques are no longer limited to the arena of computer science. The discipline has an exponentially growing demand in other branches of science and engineering and even into health and social science. This book contains theory and applications of soft computing in engineering, health, and social and applied sciences. Different soft computing techniques such as artificial neural networks, fuzzy systems, evolutionary algorithms and hybrid systems are discussed. It also contains important chapters in machine learning and clustering. This book presents a survey of the existing knowledge and also the current state of art development through original new contributions from the researchers. This book may be used as a one-stop reference book for a broad range of readers worldwide interested in soft computing. In each chapter, the preliminaries have been presented first and then the advanced discussion takes place. Learners and researchers from a wide variety of backgrounds will find several useful tools and techniques to develop their soft computing skills. This book is meant for graduate students, faculty and researchers willing to expand their knowledge in any branch of soft computing. The readers of this book will require minimum prerequisites of undergraduate studies in computation and mathematics.
Soft Computing Techniques in Vision Science (Studies in Computational Intelligence #395)
by Srikanta Patnaik Yeon-Mo YangThis Special Edited Volume is a unique approach towards Computational solution for the upcoming field of study called Vision Science. From a scientific firmament Optics, Ophthalmology, and Optical Science has surpassed an Odyssey of optimizing configurations of Optical systems, Surveillance Cameras and other Nano optical devices with the metaphor of Nano Science and Technology. Still these systems are falling short of its computational aspect to achieve the pinnacle of human vision system. In this edited volume much attention has been given to address the coupling issues Computational Science and Vision Studies. It is a comprehensive collection of research works addressing various related areas of Vision Science like Visual Perception and Visual system, Cognitive Psychology, Neuroscience, Psychophysics and Ophthalmology, linguistic relativity, color vision etc. This issue carries some latest developments in the form of research articles and presentations. The volume is rich of contents with technical tools for convenient experimentation in Vision Science. There are 18 research papers having significance in an array of application areas. The volume claims to be an effective compendium of computing developments like Frequent Pattern Mining, Genetic Algorithm, Gabor Filter, Support Vector Machine, Region Based Mask Filter, 4D stereo camera systems, Principal Component Analysis etc. The detailed analysis of the papers can immensely benefit to the researchers of this domain. It can be an Endeavour in the pursuit of adding value in the existing stock of knowledge in Vision Science.
Soft Computing Techniques in Voltage Security Analysis (Energy Systems in Electrical Engineering)
by Kabir Chakraborty Abhijit ChakrabartiThis book focuses on soft computing techniques for enhancing voltage security in electrical power networks. Artificial neural networks (ANNs) have been chosen as a soft computing tool, since such networks are eminently suitable for the study of voltage security. The different architectures of the ANNs used in this book are selected on the basis of intelligent criteria rather than by a “brute force” method of trial and error. The fundamental aim of this book is to present a comprehensive treatise on power system security and the simulation of power system security. The core concepts are substantiated by suitable illustrations and computer methods. The book describes analytical aspects of operation and characteristics of power systems from the viewpoint of voltage security. The text is self-contained and thorough. It is intended for senior undergraduate students and postgraduate students in electrical engineering. Practicing engineers, Electrical Control Center (ECC) operators and researchers will also find the book useful.
Soft Computing: Proceedings of SoCTA 2019 (Advances in Intelligent Systems and Computing #1154)
by Millie Pant Tarun Kumar Sharma Rajeev Arya B. C. Sahana Hossein ZolfaghariniaThis book focuses on soft computing and how it can be applied to solve real-world problems arising in various domains, ranging from medicine and healthcare, to supply chain management, image processing and cryptanalysis. It gathers high-quality papers presented at the International Conference on Soft Computing: Theories and Applications (SoCTA 2019), organized by the National Institute of Technology Patna, India. Offering valuable insights into soft computing for teachers and researchers alike, the book will inspire further research in this dynamic field.
Soft Error Mechanisms, Modeling and Mitigation
by Selahattin SayilThis book introduces readers to various radiation soft-error mechanisms such as soft delays, radiation induced clock jitter and pulses, and single event (SE) coupling induced effects. In addition to discussing various radiation hardening techniques for combinational logic, the author also describes new mitigation strategies targeting commercial designs. Coverage includes novel soft error mitigation techniques such as the Dynamic Threshold Technique and Soft Error Filtering based on Transmission gate with varied gate and body bias. The discussion also includes modeling of SE crosstalk noise, delay and speed-up effects. Various mitigation strategies to eliminate SE coupling effects are also introduced. Coverage also includes the reliability of low power energy-efficient designs and the impact of leakage power consumption optimizations on soft error robustness. The author presents an analysis of various power optimization techniques, enabling readers to make design choices that reduce static power consumption and improve soft error reliability at the same time.
Soft Error Reliability Using Virtual Platforms: Early Evaluation of Multicore Systems
by Felipe Rocha da Rosa Luciano Ost Ricardo ReisThis book describes the benefits and drawbacks inherent in the use of virtual platforms (VPs) to perform fast and early soft error assessment of multicore systems. The authors show that VPs provide engineers with appropriate means to investigate new and more efficient fault injection and mitigation techniques. Coverage also includes the use of machine learning techniques (e.g., linear regression) to speed-up the soft error evaluation process by pinpointing parameters (e.g., architectural) with the most substantial impact on the software stack dependability. This book provides valuable information and insight through more than 3 million individual scenarios and 2 million simulation-hours. Further, this book explores machine learning techniques usage to navigate large fault injection datasets.
Soft Errors in Modern Electronic Systems (Frontiers in Electronic Testing #41)
by Michael Michael NicolaidisThis book provides a comprehensive presentation of the most advanced research results and technological developments enabling understanding, qualifying and mitigating the soft errors effect in advanced electronics, including the fundamental physical mechanisms of radiation induced soft errors, the various steps that lead to a system failure, the modelling and simulation of soft error at various levels (including physical, electrical, netlist, event driven, RTL, and system level modelling and simulation), hardware fault injection, accelerated radiation testing and natural environment testing, soft error oriented test structures, process-level, device-level, cell-level, circuit-level, architectural-level, software level and system level soft error mitigation techniques. The book contains a comprehensive presentation of most recent advances on understanding, qualifying and mitigating the soft error effect in advanced electronic systems, presented by academia and industry experts in reliability, fault tolerance, EDA, processor, SoC and system design, and in particular, experts from industries that have faced the soft error impact in terms of product reliability and related business issues and were in the forefront of the countermeasures taken by these companies at multiple levels in order to mitigate the soft error effects at a cost acceptable for commercial products. In a fast moving field, where the impact on ground level electronics is very recent and its severity is steadily increasing at each new process node, impacting one after another various industry sectors (as an example, the Automotive Electronics Council comes to publish qualification requirements on soft errors), research and technology developments and industrial practices have evolve very fast, outdating the most recent books edited at 2004.
Soft Methodology and Random Information Systems (Advances in Intelligent and Soft Computing #26)
by Miguel Concepcion Lopez-Diaz Maria Angeles Gil Przemyslaw Grzegorzewski Olgierd Hryniewicz Jonathan LawryThe analysis of experimental data resulting from some underlying random process is a fundamental part of most scientific research. Probability Theory and Statistics have been developed as flexible tools for this analyis, and have been applied successfully in various fields such as Biology, Economics, Engineering, Medicine or Psychology. However, traditional techniques in Probability and Statistics were devised to model only a singe source of uncertainty, namely randomness. In many real-life problems randomness arises in conjunction with other sources, making the development of additional "softening" approaches essential. This book is a collection of papers presented at the 2nd International Conference on Soft Methods in Probability and Statistics (SMPS’2004) held in Oviedo, providing a comprehensive overview of the innovative new research taking place within this emerging field.
Soft Methods for Data Science (Advances in Intelligent Systems and Computing #456)
by Maria Brigida Ferraro Paolo Giordani Barbara Vantaggi Marek Gagolewski María Ángeles Gil Przemysław Grzegorzewski Olgierd HryniewiczThis proceedings volume is a collection of peer reviewed papers presented at the 8th International Conference on Soft Methods in Probability and Statistics (SMPS 2016) held in Rome (Italy). The book is dedicated to Data science which aims at developing automated methods to analyze massive amounts of data and to extract knowledge from them. It shows how Data science employs various programming techniques and methods of data wrangling, data visualization, machine learning, probability and statistics. The soft methods proposed in this volume represent a collection of tools in these fields that can also be useful for data science.
Soft Methods for Handling Variability and Imprecision (Advances in Intelligent and Soft Computing #48)
by Didier Dubois Maria Asuncion Lubiano Henri Prade María Angeles Gil Przemyslaw Grzegorzewski Olgierd HryniewiczProbability theory has been the only well-founded theory of uncertainty for a long time. It was viewed either as a powerful tool for modelling random phenomena, or as a rational approach to the notion of degree of belief. During the last thirty years, in areas centered around decision theory, artificial intelligence and information processing, numerous approaches extending or orthogonal to the existing theory of probability and mathematical statistics have come to the front. The common feature of those attempts is to allow for softer or wider frameworks for taking into account the incompleteness or imprecision of information. Many of these approaches come down to blending interval or fuzzy interval analysis with probabilistic methods. This book gathers contributions to the 4th International Conference on Soft methods in Probability and Statistics. Its aim is to present recent results illustrating such new trends that enlarge the statistical and uncertainty modeling traditions, towards the handling of incomplete or subjective information. It covers a broad scope ranging from philosophical and mathematical underpinnings of new uncertainty theories, with a stress on their impact in the area of statistics and data analysis, to numerical methods and applications to environmental risk analysis and mechanical engineering. A unique feature of this collection is to establish a dialogue between fuzzy random variables and imprecise probability theories.
Soft Methods for Integrated Uncertainty Modelling (Advances in Intelligent and Soft Computing #37)
by Alberto Bugarin Shoumei Li Maria Angeles Gil Przemyslaw Grzegorzewski Olgierd Hryniewicz Jonathan Lawry Enrique MirandaThe idea of soft computing emerged in the early 1990s from the fuzzy systems c- munity, and refers to an understanding that the uncertainty, imprecision and ig- rance present in a problem should be explicitly represented and possibly even - ploited rather than either eliminated or ignored in computations. For instance, Zadeh de?ned ‘Soft Computing’ as follows: Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty and partial truth. In effect, the role model for soft computing is the human mind. Recently soft computing has, to some extent, become synonymous with a hybrid approach combining AI techniques including fuzzy systems, neural networks, and biologically inspired methods such as genetic algorithms. Here, however, we adopt a more straightforward de?nition consistent with the original concept. Hence, soft methods are understood as those uncertainty formalisms not part of mainstream s- tistics and probability theory which have typically been developed within the AI and decisionanalysiscommunity.Thesearemathematicallysounduncertaintymodelling methodologies which are complementary to conventional statistics and probability theory.
Soft Methods in Probability, Statistics and Data Analysis (Advances in Intelligent and Soft Computing #16)
by Przemyslaw Grzegorzewski Olgierd Hryniewicz Maria A. GilClassical probability theory and mathematical statistics appear sometimes too rigid for real life problems, especially while dealing with vague data or imprecise requirements. These problems have motivated many researchers to "soften" the classical theory. Some "softening" approaches utilize concepts and techniques developed in theories such as fuzzy sets theory, rough sets, possibility theory, theory of belief functions and imprecise probabilities, etc. Since interesting mathematical models and methods have been proposed in the frameworks of various theories, this text brings together experts representing different approaches used in soft probability, statistics and data analysis.
Soft Modeling in Industrial Manufacturing (Studies in Systems, Decision and Control #183)
by Przemyslaw Grzegorzewski Andrzej Kochanski Janusz KacprzykThis book discusses the problems of complexity in industrial data, including the problems of data sources, causes and types of data uncertainty, and methods of data preparation for further reasoning in engineering practice. Each data source has its own specificity, and a characteristic property of industrial data is its high degree of uncertainty. The book also explores a wide spectrum of soft modeling methods with illustrations pertaining to specific cases from diverse industrial processes. In soft modeling the physical nature of phenomena may not be known and may not be taken into consideration. Soft models usually employ simplified mathematical equations derived directly from the data obtained as observations or measurements of the given system. Although soft models may not explain the nature of the phenomenon or system under study, they usually point to its significant features or properties.
Soft Numerical Computing in Uncertain Dynamic Systems
by Tofigh Allahviranloo Witold PedryczSoft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. - Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds - Investigates the dynamic relationships between multiple components of a system in modeling using mathematical models and the concept of stability in uncertain environments - Exposes readers to many soft numerical methods to simulate the solution function's behavior
Soft Power for the Journey: The Life of a STEM Trailblazer
by Sandra K. JohnsonThis is a story of an African American woman working at the highest levels in STEM. Dr. Sandra K. Johnson earned a Ph.D. in electrical and computer engineering from Rice University, Houston, Texas, in May 1988, the first Black woman to do so. She then became a successful global technology leader and an IBM Chief Technology Officer (CTO). The story narrates the inextricable human dimension of dealing with various personal and familial challenges that people naturally encounter—with the highs and lows, and exhilarations and disappointments. It portrays her inner strength, persistence, dedication, boldness, quiet resilience, wisdom and strong faith, this soft power she leverages throughout her life. It is a heartwarming, compelling story designed to encourage, be aspirational and awe-inspiring, and uplift the spirits of a broad and diverse readership.From tragically losing her father at the age of two, to being raised by a single mother of four children, Sandra showed promise in math and science, and discipline and unrelenting drive at a young age. Raised in the deep South, she exhibited leadership even while in kindergarten and blazed trails in leadership while in junior high and high schools. Her early education was in segregated schools, with integration coming to her hometown as she started the 5th grade. Dr. Johnson’s innate abilities led her to a summer engineering program for high school students, then on to college and graduate school.Dr. Johnson has made innovative contributions in high performance computing – supercomputers – and other areas of computer engineering. She has dozens of technical publications, over 45 pending and issued patents, and a plethora of recognition and honors in her field. The book is a fascinating and intriguing story that conveys in captivating and relatable ways the remarkable life arc of a resilient person from an underprivileged background who persistently overcomes whatever odds and challenges are encountered in her life. It is a riveting human tale of a triumphant spirit, moving forward with soft power to celebrate achievement and handle obstacles with steel willpower, influential support, and faith.Access the authors' webpage here https://softpowerforthejourney.com/
Soft Power for the Journey: The Life of a STEM Trailblazer
by Sandra K. JohnsonThis is a story of an African American woman working at the highest levels in STEM. Dr. Sandra K. Johnson earned a Ph.D. in electrical and computer engineering from Rice University, Houston, Texas, in May 1988, the first Black woman to do so. She then became a successful global technology leader and an IBM Chief Technology Officer (CTO). The story narrates the inextricable human dimension of dealing with various personal and familial challenges that people naturally encounter—with the highs and lows, and exhilarations and disappointments. It portrays her inner strength, persistence, dedication, boldness, quiet resilience, wisdom and strong faith, this soft power she leverages throughout her life. It is a heartwarming, compelling story designed to encourage, be aspirational and awe-inspiring, and uplift the spirits of a broad and diverse readership.From tragically losing her father at the age of two, to being raised by a single mother of four children, Sandra showed promise in math and science, and discipline and unrelenting drive at a young age. Raised in the deep South, she exhibited leadership even while in kindergarten and blazed trails in leadership while in junior high and high schools. Her early education was in segregated schools, with integration coming to her hometown as she started the 5th grade. Dr. Johnson’s innate abilities led her to a summer engineering program for high school students, then on to college and graduate school.Dr. Johnson has made innovative contributions in high performance computing – supercomputers – and other areas of computer engineering. She has dozens of technical publications, over 45 pending and issued patents, and a plethora of recognition and honors in her field. The book is a fascinating and intriguing story that conveys in captivating and relatable ways the remarkable life arc of a resilient person from an underprivileged background who persistently overcomes whatever odds and challenges are encountered in her life. It is a riveting human tale of a triumphant spirit, moving forward with soft power to celebrate achievement and handle obstacles with steel willpower, influential support, and faith.Access the authors' webpage here https://softpowerforthejourney.com/
Soft Real-Time Systems: Predictability vs. Efficiency (Series in Computer Science)
by Giorgio C Buttazzo Giuseppe Lipari Luca Abeni Marco CaccamoHard real-time systems are very predictable, but not sufficiently flexible to adapt to dynamic situations. They are built under pessimistic assumptions to cope with worst-case scenarios, so they often waste resources. Soft real-time systems are built to reduce resource consumption, tolerate overloads and adapt to system changes. They are also more suited to novel applications of real-time technology, such as multimedia systems, monitoring apparatuses, telecommunication networks, mobile robotics, virtual reality, and interactive computer games. This unique monograph provides concrete methods for building flexible, predictable soft real-time systems, in order to optimize resources and reduce costs. It is an invaluable reference for developers, as well as researchers and students in Computer Science.
Soft Robotics: Proceedings of the Soft Robotics Week, April 25-30, 2016, Livorno, Italy (Biosystems & Biorobotics #17)
by Cecilia Laschi Jonathan Rossiter Fumiya Iida Matteo Cianchetti Laura MargheriThis book offers a comprehensive, timely snapshot of current research, technologies and applications of soft robotics. The different chapters, written by international experts across multiple fields of soft robotics, cover innovative systems and technologies for soft robot legged locomotion, soft robot manipulation, underwater soft robotics, biomimetic soft robotic platforms, plant-inspired soft robots, flying soft robots, soft robotics in surgery, as well as methods for their modeling and control. Based on the results of the second edition of the Soft Robotics Week, held on April 25 – 30, 2016, in Livorno, Italy, the book reports on the major research lines and novel technologies presented and discussed during the event.
Soft Sensors for Monitoring and Control of Industrial Processes (Advances in Industrial Control)
by Luigi Fortuna Salvatore Graziani Alessandro Rizzo Maria Gabriella XibiliaThis book reviews current design paths for soft sensors, and guides readers in evaluating different choices. The book presents case studies resulting from collaborations between the authors and industrial partners. The solutions presented, some of which are implemented on-line in industrial plants, are designed to cope with a wide range of applications from measuring system backup and what-if analysis through real-time prediction for plant control to sensor diagnosis and validation.
Soft Sets: Theory and Applications (Studies in Fuzziness and Soft Computing #400)
by Sunil Jacob JohnThis book offers a self-contained guide to the theory and main applications of soft sets. It introduces readers to the basic concepts, the algebraic and topological structures, as well as hybrid structures, such as fuzzy soft sets and intuitionistic fuzzy sets. The last part of the book explores a range of interesting applications in the fields of decision-making, pattern recognition, and data science. All in all, the book provides graduate students and researchers in mathematics and various applied science fields with a comprehensive and timely reference guide to soft sets.