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Books in Computer science

The Computing collection presents a range of foundational and applied content across computer and data science, including fields such as Artificial Intelligence; Computational Modelling; Computer Networks, Computer Organization & Architecture, Computer Vision & Pattern Recognition, Data Management; Embedded Systems & Computer Engineering; HCI/User Interface Design; Information Security; Machine Learning; Network Security; Software Engineering.

    • Advances in Computers

      • 1st Edition
      • Volume 105
      • February 20, 2017
      • English
      • Hardback
        9 7 8 0 1 2 8 1 2 2 3 2 7
      • eBook
        9 7 8 0 1 2 8 1 2 2 3 3 4
      Advances in Computers, the latest volume in the series published since 1960, presents detailed coverage of innovations in computer hardware, software, theory, design, and applications. In addition, it provides contributors with a medium in which they can explore their subjects in greater depth and breadth than journal articles usually allow. As a result, many articles have become standard references that continue to be of significant, lasting value in this rapidly expanding field.
    • Designing User Interfaces for an Aging Population

      • 1st Edition
      • February 16, 2017
      • Jeff Johnson + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 4 6 7 4
      • eBook
        9 7 8 0 1 2 8 0 4 5 1 2 1
      Designing User Interfaces for an Aging Population: Towards Universal Design presents age-friendly design guidelines that are well-established, agreed-upon, research-based, actionable, and applicable across a variety of modern technology platforms.The book offers guidance for product engineers, designers, or students who want to produce technological products and online services that can be easily and successfully used by older adults and other populations.It presents typical age-related characteristics, addressing vision and visual design, hand-eye coordination and ergonomics, hearing and sound, speech and comprehension, navigation, focus, cognition, attention, learning, memory, content and writing, attitude and affect, and general accessibility.The authors explore characteristics of aging via realistic personas which demonstrate the impact of design decisions on actual users over age 55.
    • Usability Testing for Survey Research

      • 1st Edition
      • February 15, 2017
      • Emily Geisen + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 6 5 6 3
      • eBook
        9 7 8 0 1 2 8 0 3 6 8 1 5
      Usability Testing for Survey Research provides researchers with a guide to the tools necessary to evaluate, test, and modify surveys in an iterative method during the survey pretesting process. It includes examples that apply usability to any type of survey during any stage of development, along with tactics on how to tailor usability testing to meet budget and scheduling constraints. The book's authors distill their experience to provide tips on how usability testing can be applied to paper surveys, mixed-mode surveys, interviewer-administ... tools, and additional products. Readers will gain an understanding of usability and usability testing and why it is needed for survey research, along with guidance on how to design and conduct usability tests, analyze and report findings, ideas for how to tailor usability testing to meet budget and schedule constraints, and new knowledge on how to apply usability testing to other survey-related products, such as project websites and interviewer administered tools.
    • Application Performance Management (APM) in the Digital Enterprise

      • 1st Edition
      • February 11, 2017
      • Rick Sturm + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 4 0 1 8 8
      • eBook
        9 7 8 0 1 2 8 0 4 0 8 1 2
      Application Performance Management (APM) in the Digital Enterprise enables IT professionals to be more successful in managing their company’s applications. It explores the fundamentals of application management, examines how the latest technological trends impact application management, and provides best practices for responding to these changes. The recent surge in the use of containers as a way to simplify management and deploy applications has created new challenges, and the convergence of containerization, cloud, mobile, virtualization, analytics, and automation is reshaping the requirements for application management. This book serves as a guide for understanding these dramatic changes and how they impact the management of applications, showing how to create a management strategy, define the underlying processes and standards, and how to select the appropriate tools to enable management processes.
    • Diffuse Algorithms for Neural and Neuro-Fuzzy Networks

      • 1st Edition
      • February 10, 2017
      • Boris.A Skorohod
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 6 0 9 7
      • eBook
        9 7 8 0 1 2 8 1 2 6 1 0 3
      Diffuse Algorithms for Neural and Neuro-Fuzzy Networks: With Applications in Control Engineering and Signal Processing presents new approaches to training neural and neuro-fuzzy networks. This book is divided into six chapters. Chapter 1 consists of plants models reviews, problems statements, and known results that are relevant to the subject matter of this book. Chapter 2 considers the RLS behavior on a finite interval. The theoretical results are illustrated by examples of solving problems of identification, control, and signal processing. Properties of the bias, the matrix of second-order moments and the normalized average squared error of the RLS algorithm on a finite time interval are studied in Chapter 3. Chapter 4 deals with the problem of multilayer neural and neuro-fuzzy networks training with simultaneous estimation of the hidden and output layers parameters. The theoretical results are illustrated with the examples of pattern recognition, identification of nonlinear static, and dynamic plants. Chapter 5 considers the estimation problem of the state and the parameters of the discrete dynamic plants in the absence of a priori statistical information about initial conditions or its incompletion. The Kalman filter and the extended Kalman filter diffuse analogues are obtained. Finally, Chapter 6 provides examples of the use of diffuse algorithms for solving problems in various engineering applications. This book is ideal for researchers and graduate students in control, signal processing, and machine learning.
    • Managing the Web of Things

      • 1st Edition
      • February 8, 2017
      • Michael Sheng + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 9 7 6 4 9
      • eBook
        9 7 8 0 1 2 8 0 9 7 6 5 6
      Managing the Web of Things: Linking the Real World to the Web presents a consolidated and holistic coverage of engineering, management, and analytics of the Internet of Things. The web has gone through many transformations, from traditional linking and sharing of computers and documents (i.e., Web of Data), to the current connection of people (i.e., Web of People), and to the emerging connection of billions of physical objects (i.e., Web of Things). With increasing numbers of electronic devices and systems providing different services to people, Web of Things applications present numerous challenges to research institutions, companies, governments, international organizations, and others. This book compiles the newest developments and advances in the area of the Web of Things, ranging from modeling, searching, and data analytics, to software building, applications, and social impact. Its coverage will enable effective exploration, understanding, assessment, comparison, and the selection of WoT models, languages, techniques, platforms, and tools. Readers will gain an up-to-date understanding of the Web of Things systems that accelerates their research.
    • Discrete-Time Neural Observers

      • 1st Edition
      • February 6, 2017
      • Alma Y Alanis + 1 more
      • English
      • Paperback
        9 7 8 0 1 2 8 1 0 5 4 3 6
      • eBook
        9 7 8 0 1 2 8 1 0 5 4 4 3
      Discrete-Time Neural Observers: Analysis and Applications presents recent advances in the theory of neural state estimation for discrete-time unknown nonlinear systems with multiple inputs and outputs. The book includes rigorous mathematical analyses, based on the Lyapunov approach, that guarantee their properties. In addition, for each chapter, simulation results are included to verify the successful performance of the corresponding proposed schemes. In order to complete the treatment of these schemes, the authors also present simulation and experimental results related to their application in meaningful areas, such as electric three phase induction motors and anaerobic process, which show the applicability of such designs. The proposed schemes can be employed for different applications beyond those presented. The book presents solutions for the state estimation problem of unknown nonlinear systems based on two schemes. For the first one, a full state estimation problem is considered; the second one considers the reduced order case with, and without, the presence of unknown delays. Both schemes are developed in discrete-time using recurrent high order neural networks in order to design the neural observers, and the online training of the respective neural networks is performed by Kalman Filtering.
    • Big Data Analytics for Sensor-Network Collected Intelligence

      • 1st Edition
      • February 2, 2017
      • Hui-Huang Hsu + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 9 3 9 3 1
      • eBook
        9 7 8 0 1 2 8 0 9 6 2 5 3
      Big Data Analytics for Sensor-Network Collected Intelligence explores state-of-the-art methods for using advanced ICT technologies to perform intelligent analysis on sensor collected data. The book shows how to develop systems that automatically detect natural and human-made events, how to examine people’s behaviors, and how to unobtrusively provide better services. It begins by exploring big data architecture and platforms, covering the cloud computing infrastructure and how data is stored and visualized. The book then explores how big data is processed and managed, the key security and privacy issues involved, and the approaches used to ensure data quality. In addition, readers will find a thorough examination of big data analytics, analyzing statistical methods for data analytics and data mining, along with a detailed look at big data intelligence, ubiquitous and mobile computing, and designing intelligence system based on context and situation. Indexing: The books of this series are submitted to EI-Compendex and SCOPUS
    • Path Planning for Vehicles Operating in Uncertain 2D Environments

      • 1st Edition
      • January 28, 2017
      • Viacheslav Pshikhopov
      • English
      • Paperback
        9 7 8 0 1 2 8 1 2 3 0 5 8
      • eBook
        9 7 8 0 1 2 8 1 2 3 0 6 5
      Path Planning for Vehicles Operating in Uncertain 2D-environments presents a survey that includes several path planning methods developed using fuzzy logic, grapho-analytical search, neural networks, and neural-like structures, procedures of genetic search, and unstable motion modes.
    • Cellular Actuators

      • 1st Edition
      • January 24, 2017
      • Jun Ueda + 2 more
      • English
      • Paperback
        9 7 8 0 1 2 8 0 3 6 8 7 7
      • eBook
        9 7 8 0 1 2 8 0 3 7 0 6 5
      Cellular Actuators: Modularity and Variability in Muscle-Inspired Actuation describes the roles actuators play in robotics and their insufficiency in emerging new robotic applications, such as wearable devices and human co-working robots where compactness and compliance are important. Piezoelectric actuators, the topic of this book, provide advantages like displacement scale, force, reliability, and compactness, and rely on material properties to provide displacement and force as reactions to electric stimulation. The authors, renowned researchers in the area, present the fundamentals of muscle-like movement and a system-wide study that includes the design, analysis, and control of biologically inspired actuators. This book is the perfect guide for researchers and practitioners who would like to deploy this technology into their research and products.