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Multi-Core Embedded Systems (Embedded Multi-Core Systems)
by Georgios KornarosDetails a real-world product that applies a cutting-edge multi-core architectureIncreasingly demanding modern applications—such as those used in telecommunications networking and real-time processing of audio, video, and multimedia streams—require multiple processors to achieve computational performance at the rate of a few giga-operations per second. This necessity for speed and manageable power consumption makes it likely that the next generation of embedded processing systems will include hundreds of cores, while being increasingly programmable, blending processors and configurable hardware in a power-efficient manner.Multi-Core Embedded Systems presents a variety of perspectives that elucidate the technical challenges associated with such increased integration of homogeneous (processors) and heterogeneous multiple cores. It offers an analysis that industry engineers and professionals will need to understand the physical details of both software and hardware in embedded architectures, as well as their limitations and potential for future growth.Discusses the available programming models spread across different abstraction levelsThe book begins with an overview of the evolution of multiprocessor architectures for embedded applications and discusses techniques for autonomous power management of system-level parameters. It addresses the use of existing open-source (and free) tools originating from several application domains—such as traffic modeling, graph theory, parallel computing and network simulation. In addition, the authors cover other important topics associated with multi-core embedded systems, such as:Architectures and interconnectsEmbedded design methodologiesMapping of applications</
Multi-Criteria Decision Analysis for Risk Assessment and Management (Industrial Ecology and Environmental Management #1)
by Jingzheng RenThis book provides in-depth guidance on how to use multi-criteria decision analysis methods for risk assessment and risk management. The frontiers of engineering operations management methods for identifying the risks, investigating their roles, analyzing the complex cause-effect relationships, and proposing countermeasures for risk mitigation are presented in this book. There is a total of ten chapters, mainly including the indicators and organizational models for risk assessment, the integrated Bayesian Best-Worst method and classifiable TOPSIS model for risk assessment, new risk prioritization model, fuzzy risk assessment under uncertainties, assessment of COVID-19 transmission risk based on fuzzy inference system, risk assessment and mitigation based on simulation output analysis, energy supply risk analysis, risk assessment and management in cash-in-transit vehicle routing problems, and sustainability risks of resource-exhausted cities. The most significant feature of this book is that it provides various systematic multi-criteria decision analysis methods for risk assessment and management, and illustrates the application of these methods in different fields. This book is beneficial to policymakers, decision-makers, experts, researchers and students related to risk assessment and management.
Multi-Criteria Decision Analysis: Case Studies in Disaster Management
by Muhammet Gul Melih Yucesan Melike ErdoganMulti-Criteria Decision-Making (MCDM) includes methods and tools for modeling and solving complex problems. MCDM has become popular in the production and service sectors to improve the quality of service, reduce costs, and make people more prosperous. This book illustrates applications through case studies focused on disaster management. With a presentation of both Multi-Attribute Decision-Making (MADM) and Multi-Objective Decision-Making (MODM) models, this is the first book to merge these methods and tools with disaster management. This book raises awareness for society and decision-makers on how to measure readiness and what necessary preventive measures need to be taken. It offers models and case studies that can be easily adapted to solve complex problems and find solutions in other fields. Multi-Criteria Decision Analysis: Case Studies in Disaster Management will offer new insights to researchers working in the areas of industrial engineering, systems engineering, healthcare systems, operations research, mathematics, business, computer science, and disaster management, and, hopefully, the book will also stimulate further work in MCDM.
Multi-Criteria Decision Analysis: Case Studies in Engineering and the Environment (Environmental Assessment and Management)
by Jeffrey M. Keisler Igor Linkov Benjamin D. Trump Emily Moberg Boris YatsaloDecision analysis has become widely recognized as an important process for translating science into management actions. With climate change and other systemic threats as driving forces in creating environmental and engineering problems, there is a great need for understanding decision making frameworks through a case-study based approach. Management of environmental and engineering projects is often complicated and multidisciplinary in scope and nature, thus issues that arise can be difficult to solve analytically. Multi-Criteria Decision Analysis: Case Studies in Engineering and the Environment provides detailed description of MCDA methods and tools and illustrates their applications through case studies focused on sustainability and system engineering applications. New in the Second Edition: Addresses current and emerging environmental and engineering problems Includes seven new case studies to illustrate different management situations applicable at the international level Builds on real case studies from recent and relevant environmental and engineering management experience Describes advanced MCDA techniques and extensions used by practitioners Provides corresponding decision models implemented using the DECERNS software package Gives a more holistic approach to teaching MCDA methodology with a focus on sustainable solutions and adoption of new technologies, including nanotechnology and synthetic biology Given the novelty and inherent applicability of this decision-making framework to the environmental and engineering fields, a greater number of teaching tools for this topic need to be made available. This book provides those teaching tools, covering the breadth of the applications of MCDA methodologies with clear explanations of the MCDA process. The case studies are implemented in the DECERNS software package, allowing readers to experiment and explore and to understand the full process by which environmental managers assess these problems. This book is a great resource for professionals and students seeking to learn decision analysis techniques and apply similar frameworks to environmental and engineering projects
Multi-Criteria Decision Making (Studies in Systems, Decision and Control #336)
by Jitesh J. ThakkarThe book covers the domain of multi-criteria decision making, a topic which has gained significant attention of researchers and practitioners spanning a variety of disciplines for enhancing their decision making in real life situation. The topics in this volume help readers understand the techniques in the model building and analysis stage. The chapters cover a variety of techniques and their applications for interesting problems. This book will be of interest to readers in diverse disciplines such as engineering, business, management, humanities, psychology and law. ^
Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies (Science, Technology, and Management)
by Rahul SindhwaniThis book examines Multi-Criteria Decision Modelling (MCDM) methodologies and facilitates diverse ways for strategic decision-making in a variety of practical applications. This book also provides a pragmatic foundation for solving real-life problems in different scenarios of emerging global markets. Multi-Criteria Decision Modelling: Applicational Techniques and Case Studies depicts the use of sensitivity analysis and modelling and includes case studies to understand and illustrate challenging concepts. It also offers step-by-step comprehensive methodologies for the utilization of MCDM to a variety of situations. The book deliberates ways for companies to use these methods to their advantage in order to achieve sustainability. Furthermore, it also presents an overview of the major streams of thought and provides a holistic view of the latest research and development trends in modelling and optimization. FEATURES Offers a stepwise comprehensive methodology for the application of MCDM to a variety of situations Presents an overview of the major streams of thought present in the MCDM technique Provides a holistic view of the latest research and development trends in the emerging markets in terms of modelling and optimization using MCDM for different industrial sectors Illuminates a practical foundation in order to provide a guide to address the problems of emerging markets Enlightens the ways for companies to use these methods to their advantage to be able to achieve sustainability This book is a guide for those performing decision analysis for academic purposes as well as for researchers aspiring to expand their knowledge on MCDM problem solving.
Multi-Criteria Decision Models in Software Reliability: Methods and Applications (Information Technology, Management and Operations Research Practices)
by Nguyen Thi Dieu Linh Ashish Mishra Carla M. A. Pinto Manish BhardwajThis book provides insights into contemporary issues and challenges in multi-criteria decision models. It is a useful guide for identifying, understanding and categorising multi-criteria decision models, and ultimately implementing the analysis for effective decision-making. The use of multi-criteria decision models in software reliability engineering is a relatively new field of study, and this book collects all the latest methodologies, tools and techniques in one single volume. It covers model selection, assessment, resource allocation, release management, up-grade planning, open-source systems, bug tracking system management and defect prediction. Multi-Criteria Decision Models in Software Reliability: Methods and Applications will cater to researchers, academicians, post-graduate students, software developers, software reliability engineers and IT managers.
Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide
by Van Thanh Tien Nguyen Nhut T.M. Vo Van Chinh Truong Van-Thuc NguyenAs multicriteria decision-making (MCDM) continues to grow and evolve, machine learning (ML) techniques have become increasingly important in finding efficient and effective solutions to complex problems. This book is intended to guide researchers, practitioners, and students interested in the intersection of ML and MCDM for optimal design. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is a comprehensive resource that bridges the gap between ML and MCDM. It offers a practical approach by demonstrating the application of ML and MCDM algorithms to real-world problems. Through case studies and examples, it showcases the effectiveness of these techniques in optimal design. The book also provides a comparative analysis of conventional MCDM algorithms and machine learning techniques, enabling readers to make informed decisions about their use in different scenarios. It also delves into emerging trends, providing insights into future directions and potential opportunities. The book covers a wide range of topics, including the definition of optimal design, MCDM algorithms, supervised and unsupervised ML techniques, deep learning techniques, and more, making it a valuable resource for professionals and researchers in various fields. Multi-Criteria Decision-Making and Optimum Design with Machine Learning: A Practical Guide is designed for professionals, researchers, and practitioners in engineering, computer science, sustainability, and related fields. It is also a valuable resource for students and academics who wish to expand their knowledge of machine learning applications in multicriteria decision-making. By offering a blend of theoretical insights and practical examples, this guide aims to inspire further research and application of machine learning in multidimensional decision-making environments.
Multi-Detector CT Imaging: Abdomen, Pelvis, and CAD Applications
by Martin GardnerDevelopments in CT technology during the last 20 years have impressively improved its diagnostic potentialities. Part of a two-volume set that covers all aspects of CT imaging, Multi-Detector CT Imaging: Abdomen, Pelvis, and CAD Applications contains easily searchable clinical specialty chapters that provide specific information without need of an
Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems
by Jasjit S. Suri Luca SabaDevelopments in CT technology during the last 20 years have impressively improved its diagnostic potentialities. Part of a two-volume set that covers all aspects of CT imaging, Multi-Detector CT Imaging: Principles, Head, Neck, and Vascular Systems contains easily searchable clinical specialty chapters that provide specific information without need
Multi-Dimensional Liquid Chromatography: Principles, Practice, and Applications (Chromatographic Science Series)
by Peter W. Carr Dwight R. StollTwo-dimensional liquid chromatography (2D-LC) is finding increasingly wide application principally due to the analysis of mixtures of moderate to high complexity. Many industries are developing increasingly complex products that are challenging the separation capabilities of state-of-the-art 1D-LC and need new analytical methodologies with substantially more resolving power, and 2D-LC meets that need. This text, organized by two leaders in the field, establishes a sound fundamental basis for the principles of the technique, followed by a discussion of important practical considerations. The book begins with an introduction to multi-dimensional separations and a discussion of the history and development of the technique over the past 40 years, followed by several chapters that provide a theoretical basis for development of 2D-LC methods, including foundational concepts regarding separation complementarity, under-sampling, and dynamics of liquid chromatography separations. Instrumentation for 2D-LC is discussed extensively, including practical aspects such as interface selection and setup. Building on this foundation, two separate chapters are focused on method development for non-comprehensive and comprehensive separations, followed by a chapter dedicated to data analysis. Finally, applications of 2D-LC in several fields ranging from pharmaceutical analysis to polymer science are summarized. The book is an important resource for both students and practitioners who are already using 2D-LC or are interested in getting started in the field. Key Features: Demonstrates the conditions under which a 2D-LC method should be considered as an alternative to a 1D-LC method. Establishes a sound fundamental basis of the principles of the technique, followed by guidelines for method optimization. Provides a single source for technical knowledge advances and practical guidance described in recent literature. Assists with the initial decision to develop a 2D-LC method. Guides the reader in developing a high-quality method that meets the needs of their application.
Multi-Disciplinary Digital Signal Processing
by E. S. GopiThis book provides a comprehensive overview of digital signal processing for a multi-disciplinary audience. It posits that though the theory involved in digital signal processing stems from electrical, electronics, communication, and control engineering, the topic has use in other disciplinary areas like chemical, mechanical, civil, computer science, and management. This book is written about digital signal processing in such a way that it is suitable for a wide ranging audience. Readers should be able to get a grasp of the field, understand the concepts easily, and apply as needed in their own fields. It covers sampling and reconstruction of signals; infinite impulse response filter; finite impulse response filter; multi rate signal processing; statistical signal processing; and applications in multidisciplinary domains. The book takes a functional approach and all techniques are illustrated using Matlab.
Multi-Domain Communication Management Systems (Advanced & Emerging Communications Technologies)
by Alex GalisAmong the leading challenges faced by systems managers today is the coherent management of network resources in a multi-domain, multi-environment. The MISA Project - Management of Integrated SDH and ATM Networks - brought together researchers from 17 organizations to explore and advance the state of the art in developing enabling mechanisms for end
Multi-Gigahertz Nyquist Analog-to-Digital Converters: Architecture and Circuit Innovations in Deep-Scaled CMOS and FinFET Technologies (Analog Circuits and Signal Processing)
by Marcel J.M. Pelgrom Filip Tavernier Athanasios T. Ramkaj Michiel S. SteyaertThis book proposes innovative circuit, architecture, and system solutions in deep-scaled CMOS and FinFET technologies, which address the challenges in maximizing the accuracy*speed/power of multi-GHz sample rate and bandwidth Analog-to-Digital Converters (ADC)s. A new holistic approach is introduced that first identifies the major error sources of a converter’ building blocks, and quantitatively analyzes their impact on the overall performance, establishing the fundamental circuit-imposed accuracy – speed – power limits. The analysis extends to the architecture level, by introducing a mathematical framework to estimate and compare the accuracy – speed – power limits of several ADC architectures and variants. To gain system-level insight, time-interleaving is covered in detail, and a framework is also introduced to compare key metrics of interleaver architectures quantitatively. The impact of technology is also considered by adding process effects from several deep-scaled CMOS technologies. The validity of the introduced analytical approach and the feasibility of the proposed concepts are demonstrated by four silicon prototype Integrated Circuits (IC)s, realized in ultra-deep-scaled CMOS and FinFET technologies.Introduces a new, holistic approach for the analysis and design of high-performance ADCs in deep-scaled CMOS technologies, from theoretical concepts to silicon bring-up and verification;Describes novel methods and techniques to push the accuracy – speed – power boundaries of multi-GHz ADCs, analyzing core and peripheral circuits’ trade-offs across the entire ADC chain;Supports the introduced analysis and design concepts by four state-of-the-art silicon prototype ICs, implemented in 28nm bulk CMOS and 16nm FinFET technologies;Provides a useful reference and a valuable tool for beginners as well as experienced ADC design engineers.
Multi-Layer Composite: Volume 1: A Fundamental Overview (Lecture Notes in Energy #102)
by Sarah Farrukh Xianfeng Fan Syed Shujaat Karim Zhibin YuThis book offers an in-depth exploration of the fundamentals of multi-layer composite (MLC) membranes for the gas separation applications. It provides a comprehensive overview of MLC membranes, including their historical development, structural features, fabrication techniques, selection criteria, mathematical models for gas transport, gas separation mechanisms, characterization methods, detailed adsorption mechanisms, current challenges, and future trends in gas separation technology. Serving as a valuable reference, this book is designed for materials scientists, environmental engineers, and chemical engineers seeking fundamental insights into the effective utilization of MLC membranes for energy-efficient gas separation processes.
Multi-MHz High Frequency Resonant DC-DC Power Converter (CPSS Power Electronics Series)
by Dianguo Xu Yueshi Guan Yijie Wang Xiangjun ZhangThis book analyzes multi-MHz high frequency resonant DC-DC power converters with operating frequencies ranging from several MHz to tens of MHz in detail, aiming to support researchers and engineers with a focus on multi-MHz high frequency converters. The inverter stage, rectifier stage, matching network stage are analyzed in detail. Based on the three basic stages, typical non-isolated and isolated resonant DC-DC converters are depicted. To reduce the high driving loss under multi-MHz, resonant driving methods are introduced and improved. Also, the design and selection methods of passive and active component under multi-MHz frequency are described, especially for aircore inductor and transformer. Furthermore, multi-MHz resonant converter provides an approach for achieving flexible system.
Multi-Modal Sentiment Analysis
by Hua XuThe natural interaction ability between human and machine mainly involves human-machine dialogue ability, multi-modal sentiment analysis ability, human-machine cooperation ability, and so on. To enable intelligent computers to have multi-modal sentiment analysis ability, it is necessary to equip them with a strong multi-modal sentiment analysis ability during the process of human-computer interaction. This is one of the key technologies for efficient and intelligent human-computer interaction. This book focuses on the research and practical applications of multi-modal sentiment analysis for human-computer natural interaction, particularly in the areas of multi-modal information feature representation, feature fusion, and sentiment classification. Multi-modal sentiment analysis for natural interaction is a comprehensive research field that involves the integration of natural language processing, computer vision, machine learning, pattern recognition, algorithm, robot intelligent system, human-computer interaction, etc. Currently, research on multi-modal sentiment analysis in natural interaction is developing rapidly. This book can be used as a professional textbook in the fields of natural interaction, intelligent question answering (customer service), natural language processing, human-computer interaction, etc. It can also serve as an important reference book for the development of systems and products in intelligent robots, natural language processing, human-computer interaction, and related fields.
Multi-Modality Imaging: Applications and Computational Techniques
by Mauren Abreu de Souza Humberto Remigio Gamba Helio PedriniThis book presents different approaches on multi-modality imaging with a focus on biomedical applications. Medical imaging can be divided into two categories: functional (related to physiological body measurements) and anatomical (structural) imaging modalities.In particular, this book covers imaging combinations coming from the usual popular modalities (such as the anatomical modalities, e.g. X-ray, CT and MRI), and it also includes some promising and new imaging modalities that are still being developed and improved (such as infrared thermography (IRT) and photoplethysmography imaging (PPGI)), implying potential approaches for innovative biomedical applications.Moreover, this book includes a variety of tools on computer vision, imaging processing, and computer graphics, which led to the generation and visualization of 3D models, making the most recent advances in this area possible. This is an ideal book for students and biomedical engineering researchers covering the biomedical imaging field.
Multi-Mode / Multi-Band RF Transceivers for Wireless Communications
by Gernot Hueber Robert Bogdan StaszewskiSummarizes cutting-edge physical layer technologies for multi-mode wireless RF transceivers.Includes original contributions from distinguished researchers and professionals.Covers cutting-edge physical layer technologies for multi-mode wireless RF transceivers.Contributors are all leading researchers and professionals in this field.
Multi-Mode Resonant Antennas: Theory, Design, and Applications
by Lei Zhu Wen-Jun LuThis title provides a unique theoretical framework for multi-mode resonant antennas and different approaches to their implementation, with an emphasis on mode gauge functionality, a new concept for a clear identification and flexible control of all usable resonant modes in multi-mode resonant antenna design. The book commences by advancing a generalized odd-even mode theory as a general theoretical framework for resonant elementary antennas, offering new insights into the classical problem of coupling effects between antenna and transmission lines and helping reveal the operation mechanism of elementary antennas under multi-mode resonance. Then, the concept of "mode gauge" is developed and employed for wideband elementary antenna design by simultaneously exciting and tuning multiple resonant modes within a single radiator. Apart from theoretical explorations, the authors also provide analysis of up-to-date implementation of multi-mode resonant elementary antennas with different functionalities, including wideband antennas, circularly polarized antennas, multiband antennas, frequency scanning antennas and low-profile antennas. Academics, students and professional engineers at all levels will greatly benefit from the book and will be provided with historical background, state-of-the-art methodology, useful design tools and multiple applications of multi-mode resonant antennas.
Multi-Net Optimization of VLSI Interconnect
by Konstantin Moiseev Avinoam Kolodny Shmuel WimerThis book covers layout design and layout migration methodologies for optimizing multi-net wire structures in advanced VLSI interconnects. Scaling-dependent models for interconnect power, interconnect delay and crosstalk noise are covered in depth, and several design optimization problems are addressed, such as minimization of interconnect power under delay constraints, or design for minimal delay in wire bundles within a given routing area. A handy reference or a guide for design methodologies and layout automation techniques, this book provides a foundation for physical design challenges of interconnect in advanced integrated circuits.
Multi-Objective Optimization System Designs and Their Applications
by Bor-Sen ChenThis book introduces multi-objective design methods to solve multi-objective optimization problems (MOPs) of linear/nonlinear dynamic systems under intrinsic random fluctuation and external disturbance. The MOPs of multiple targets for systems are all transformed into equivalent linear matrix inequality (LMI)-constrained MOPs. Corresponding reverse-order LMI-constrained multi-objective evolution algorithms are introduced to solve LMI-constrained MOPs using MATLAB®. All proposed design methods are based on rigorous theoretical results, and their applications are focused on more practical engineering design examples. Features: Discusses multi-objective optimization from an engineer’s perspective. Contains the theoretical design methods of multi-objective optimization schemes. Includes a wide spectrum of recent research topics in control design, especially for stochastic mean field diffusion problems. Covers practical applications in each chapter, like missile guidance design, economic and financial systems, power control tracking, minimization design in communication, and so forth. Explores practical multi-objective optimization design examples in control, signal processing, communication, and cyber-financial systems. This book is aimed at researchers and graduate students in electrical engineering, control design, and optimization.
Multi-Objective Optimization in Computer Networks Using Metaheuristics
by Yezid Donoso Ramon FabregatMetaheuristics are widely used to solve important practical combinatorial optimization problems. Many new multicast applications emerging from the Internet-such as TV over the Internet, radio over the Internet, and multipoint video streaming-require reduced bandwidth consumption, end-to-end delay, and packet loss ratio. It is necessary to design an
Multi-Objective Optimization in Physical Synthesis of Integrated Circuits
by David A. Papa Igor L. MarkovThis book introduces techniques that advance the capabilities and strength of modern software tools for physical synthesis, with the ultimate goal to improve the quality of leading-edge semiconductor products. It provides a comprehensive introduction to physical synthesis and takes the reader methodically from first principles through state-of-the-art optimizations used in cutting edge industrial tools. It explains how to integrate chip optimizations in novel ways to create powerful circuit transformations that help satisfy performance requirements.
Multi-Pollutant Control for Flue Gases: Principles and Applications (Advanced Topics in Science and Technology in China #63)
by Pen-Chi Chiang Kefa Cen Xiang Gao Chenghang ZhengThis book presents the latest multi-pollutant (mainly NOx, SOx, particulate matter, heavy metals) control technologies for flue gases and the applications in coal-fired power plants. Pollutant control by catalytic, electric, and absorption methods, the multi-pollutant removal system and its performance evaluation are systematically introduced. This book is a valuable reference for researchers and practitioners in environmental science & engineering, energy power engineering, and chemical science & engineering, etc.