Welcome to Loot.co.za!
Sign in / Register |Wishlists & Gift Vouchers |Help | Advanced search
|
Your cart is empty |
|||
Books > Computing & IT > General theory of computing > Systems analysis & design
The first goal of this book is to extend Two Minds originating from behavioral economics to the domain of interaction, where the time dimension has to be dealt with rigorously; in human machine interaction, it is of crucial importance how synchronization between conscious processes and unconscious processes is established for a sense of smoothness, and how memory processes and action selection processes are coordinated. The first half this book describes the theory in detail. The book begins by outlining the whole view of the theory consisting of action selection processes and memorization processes, and their interactions. Then, a detailed description for action selection processes theorized as a nonlinear dynamic human behavior model with real-time constraints is provided, followed by a description for memorization processes. Also, implications of the theory to human machine interactions are discussed. The second goal of this book is to provide a methodology to study how Two Minds works in practice when people use interactive systems. The latter half of this book describes theory practices in detail. A new methodology called Cognitive Chrono-Ethnography (CCE) is introduced, which adds the time dimension to Hutchins Cognitive Ethnography, in order to practice "know the users" systematically by designing user studies based on a simulation of users mental operations controlled by Two Minds. The author then shows how CCE has been applied to understanding the ways in which people navigate in real physical environments by walking and by car, respectively, and explores the possibility of applying CCE to predict people s future needs. This is not for understanding how people use interfaces at present but to predict how people want to use the interfaces in the future given they are currently using them in a certain way Finally, the book concludes by describing implications of human machine interactions that are carried out while using modern artefacts for people's cognitive development from birth, on the basis of the theories of action selection and memorization.
Balancing rigorous theory with practical applications, Linear Systems: Optimal and Robust Control explains the concepts behind linear systems, optimal control, and robust control and illustrates these concepts with concrete examples and problems. Developed as a two-course book, this self-contained text first discusses linear systems, including controllability, observability, and matrix fraction description. Within this framework, the author develops the ideas of state feedback control and observers. He then examines optimal control, stochastic optimal control, and the lack of robustness of linear quadratic Gaussian (LQG) control. The book subsequently presents robust control techniques and derives "H"∞ control theory from the first principle, followed by a discussion of the sliding mode control of a linear system. In addition, it shows how a blend of sliding mode control and "H"∞ methods can enhance the robustness of a linear system. By learning the theories and algorithms as well as exploring the examples in Linear Systems: Optimal and Robust Control, students will be able to better understand and ultimately better manage engineering processes and systems.
K.C. Chang presents an integrated approach to digital design principles, processes, and implementations to help the reader design increasingly complex systems within shorter design cycles. Chang introduces digital design concepts, VHDL coding, VHDL simulation, synthesis commands, and strategies together. "Digital Systems Design with VHDL and Synthesis" focuses on the ultimate product of the design cycle: the implementation of a digital design. Many of the design techniques and considerations illustrated in the text are examples of actual real-world designs. Unique features of the book include the following:
The next generation of computer system designers will be less concerned about details of processors and memories, and more concerned about the elements of a system tailored to particular applications. These designers will have a fundamental knowledge of processors and other elements in the system, but the success of their design will depend on the skills in making system-level tradeoffs that optimize the cost, performance and other attributes to meet application requirements. This book provides a new treatment of computer system design, particularly for System-on-Chip (SOC), which addresses the issues mentioned above. It begins with a global introduction, from the high-level view to the lowest common denominator (the chip itself), then moves on to the three main building blocks of an SOC (processor, memory, and interconnect). Next is an overview of what makes SOC unique (its customization ability and the applications that drive it). The final chapter presents future challenges for system design and SOC possibilities.
The Information System Consultant's Handbook familiarizes systems analysts, systems designers, and information systems consultants with underlying principles, specific documentation, and methodologies.
The VHDL Reference: The essential guide for students and professionals working in computer hardware design and synthesis. The definitive guide to VHDL, this book combines a comprehensive reference of the VHDL syntax with tutorial and workshop materials that guide the reader through the principles of digital hardware design. The authors describe the concept of VHDL and VHDL-AMS for modelling and synthesis and explain how VHDL can be used for the design of digital systems. The CD-ROM features workshop and reference material to familiarise beginners with the use of VHDL for simulation and for synthesis. In-depth examples of VHDL construct are explained in compact and easy to follow form providing immediate help and answers to specific problems. The VHDL Reference is a highly accessible single source reference to the industry standard language for computer-aided electronic system design. It is not only an essential guide for undergraduate and postgraduate students in electrical engineering but also an indispensable aid to researchers and hardware designers and teachers using VHDL and logic synthesis. Features include:
Using Subject Headings for Online Retrieval is an indispensable tool for online system designers who are developing new systems or refining existing ones. The book describes subject analysis and subject searching in online catalogs, including the limitations of retrieval, and demonstrates how such limitations can be overcome through system design and programming. The book describes the Library of Congress Subject Headings system and system characteristics, shows how information is stored in machine-readable files, and offers examples of and recommendations for successful retrieval methods. Tables are included to support these recommendations, and diagrams, graphs, and bar charts are used to provide results of data analysis. Practitioners in institutions using or considering the installation of an online catalog will refer to this book often to generate specifications. Researchers in library systems, information retrieval, and user behavior will appreciate the book's detailing of the results of an extensive, empirical study of the subject terms entered into online systems by end users. Using Subject Headings for Online Retrieval also addresses the needs of advanced students in library schools and instructors in library automation, information retrieval, cataloging, indexing, and user behavior.
If you're like most R users, you have deep knowledge and love for statistics. But as your organization continues to collect huge amounts of data, adding tools such as Apache Spark makes a lot of sense. With this practical book, data scientists and professionals working with large-scale data applications will learn how to use Spark from R to tackle big data and big compute problems. Authors Javier Luraschi, Kevin Kuo, and Edgar Ruiz show you how to use R with Spark to solve different data analysis problems. This book covers relevant data science topics, cluster computing, and issues that should interest even the most advanced users. Analyze, explore, transform, and visualize data in Apache Spark with R Create statistical models to extract information and predict outcomes; automate the process in production-ready workflows Perform analysis and modeling across many machines using distributed computing techniques Use large-scale data from multiple sources and different formats with ease from within Spark Learn about alternative modeling frameworks for graph processing, geospatial analysis, and genomics at scale Dive into advanced topics including custom transformations, real-time data processing, and creating custom Spark extensions
Suitable for a one- or two-semester undergraduate or beginning graduate course in computer science and computer engineering, Computer Organization, Design, and Architecture, Fifth Edition presents the operating principles, capabilities, and limitations of digital computers to enable the development of complex yet efficient systems. With 11 new sections and four revised sections, this edition takes students through a solid, up-to-date exploration of single- and multiple-processor systems, embedded architectures, and performance evaluation. See What's New in the Fifth Edition Expanded coverage of embedded systems, mobile processors, and cloud computing Material for the "Architecture and Organization" part of the 2013 IEEE/ACM Draft Curricula for Computer Science and Engineering Updated commercial machine architecture examples The backbone of the book is a description of the complete design of a simple but complete hypothetical computer. The author then details the architectural features of contemporary computer systems (selected from Intel, MIPS, ARM, Motorola, Cray and various microcontrollers, etc.) as enhancements to the structure of the simple computer. He also introduces performance enhancements and advanced architectures including networks, distributed systems, GRIDs, and cloud computing. Computer organization deals with providing just enough details on the operation of the computer system for sophisticated users and programmers. Often, books on digital systems' architecture fall into four categories: logic design, computer organization, hardware design, and system architecture. This book captures the important attributes of these four categories to present a comprehensive text that includes pertinent hardware, software, and system aspects.
Everything you know about the future is wrong. Presumptive Design: Design Provocations for Innovation is for people "inventing" the future: future products, services, companies, strategies and policies. It introduces a design-research method that shortens time to insights from months to days. Presumptive Design is a fundamentally agile approach to identifying your audiences' key needs. Offering rapidly crafted artifacts, your teams collaborate with your customers to identify preferred and profitable elements of your desired outcome. Presumptive Design focuses on your users' problem space, informing your business strategy, your project's early stage definition, and your innovation pipeline. Comprising discussions of design theory with case studies and how-to's, the book offers business leadership, management and innovators the benefits of design thinking and user experience in the context of early stage problem definition. Presumptive Design is an advanced technique and quick to use: within days of reading this book, your research and design teams can apply the approach to capture a risk-reduced view of your future.
This book introduces a modern approach to embedded system design, presenting software design and hardware design in a unified manner. It covers trends and challenges, introduces the design and use of single-purpose processors ("hardware") and general-purpose processors ("software"), describes memories and buses, illustrates hardware/software tradeoffs using a digital camera example, and discusses advanced computation models, controls systems, chip technologies, and modern design tools. For courses found in EE, CS and other engineering departments.
Over the last 50 years, the theory and the methods of reliability analysis have developed significantly. Therefore, it is very important to the reliability specialist to be informed of each reliability measure. This book will provide historical developments, current advancements, applications, numerous examples, and many case studies to bring the reader up-to-date with the advancements in this area. It covers reliability engineering in different branches, includes applications to reliability engineering practice, provides numerous examples to illustrate the theoretical results, and offers case studies along with real-world examples. This book is useful to engineering students, research scientist, and practitioners working in the field of reliability.
An accessible introduction to optimization analysis using spreadsheets Updated and revised, Optimization Modeling with Spreadsheets, Third Edition emphasizes model building skills in optimization analysis. By emphasizing both spreadsheet modeling and optimization tools in the freely available Microsoft(R) Office Excel(R) Solver, the book illustrates how to find solutions to real-world optimization problems without needing additional specialized software. The Third Edition includes many practical applications of optimization models as well as a systematic framework that illuminates the common structures found in many successful models. With focused coverage on linear programming, nonlinear programming, integer programming, and heuristic programming, Optimization Modeling with Spreadsheets, Third Edition features: * An emphasis on model building using Excel Solver as well as appendices with additional instructions on more advanced packages such as Analytic Solver Platform and OpenSolver * Additional space devoted to formulation principles and model building as opposed to algorithms * New end-of-chapter homework exercises specifically for novice model builders * Presentation of the Sensitivity Toolkit for sensitivity analysis with Excel Solver * Classification of problem types to help readers see the broader possibilities for application * Specific chapters devoted to network models and data envelopment analysis * A companion website with interactive spreadsheets and supplementary homework exercises for additional practice Optimization Modeling with Spreadsheets, Third Edition is an excellent textbook for upper-undergraduate and graduate-level courses that include deterministic models, optimization, spreadsheet modeling, quantitative methods, engineering management, engineering modeling, operations research, and management science. The book is an ideal reference for readers wishing to advance their knowledge of Excel and modeling and is also a useful guide for MBA students and modeling practitioners in business and non-profit sectors interested in spreadsheet optimization.
Shaped by Quantum Theory, Technology, and the Genomics Revolution The integration of photonics, electronics, biomaterials, and nanotechnology holds great promise for the future of medicine. This topic has recently experienced an explosive growth due to the noninvasive or minimally invasive nature and the cost-effectiveness of photonic modalities in medical diagnostics and therapy. The second edition of the Biomedical Photonics Handbook presents recent fundamental developments as well as important applications of biomedical photonics of interest to scientists, engineers, manufacturers, teachers, students, and clinical providers. The first volume, Fundamentals, Devices, and Techniques, focuses on the fundamentals of biophotonics, optical techniques, and devices. " Represents the Collective Work of over 150 Scientists, Engineers, and Clinicians" Designed to display the most recent advances in instrumentation and methods, as well as clinical applications in important areas of biomedical photonics to a broad audience, this three-volume handbook provides an inclusive forum that serves as an authoritative reference source for a broad audience involved in the research, teaching, learning, and practice of medical technologies. " What s New in This Edition: " A wide variety of photonic biochemical sensing technologies has already been developed for clinical monitoring of physiological parameters, such as blood pressure, blood chemistry, pH, temperature, and the presence of pathological organisms or biochemical species of clinical importance. Advanced photonic detection technologies integrating the latest knowledge of genomics, proteomics, and metabolomics allow sensing of early disease states, thus revolutionizing the medicine of the future. Nanobiotechnology has opened new possibilities for detection of biomarkers of disease, imaging single molecules, and" in situ "diagnostics at the single-cell level. In addition to these state-of-the-art advancements, the second edition contains new topics and chapters including: Fiber Optic Probe Design Laser and Optical Radiation Safety Photothermal Detection Multidimensional Fluorescence Imaging Surface Plasmon Resonance Imaging Molecular Contrast Optical Coherence Tomography Multiscale Photoacoustics Polarized Light for Medical Diagnostics Quantitative Diffuse Reflectance Imaging Interferometric Light Scattering Nonlinear Interferometric Vibrational Imaging Multimodality Theranostics Nanoplatforms Nanoscintillator-Based Therapy SERS Molecular Sentinel Nanoprobes Plasmonic Coupling Interference Nanoprobes Comprised of three books: Volume I: Fundamentals, Devices, and Techniques; Volume II: Biomedical Diagnostics; and Volume III: Therapeutics and Advanced Biophotonics, this second edition contains eight sections, and provides introductory material in each chapter. It also includes an overview of the topic, an extensive collection of spectroscopic data, and lists of references for further reading."
This book constitutes the proceedings of the 17th International Conference on Distributed Computing and Internet Technology, ICDCIT 2020, held in Bhubaneswar, India, in January 2021. The 13 full papers presented together with 4 short papers were carefully reviewed and selected from 99 submissions. The papers were organized in topical sections named: invited talks, cloud computing and networks, distributed algorithms, concurrency and parallelism, graph algorithms and security, social networks and machine learning, and short papers.
Model-based development methods, and supporting technologies, can provide the techniques and tools needed to address the dilemma between reducing system development costs and time, and developing increasingly complex systems. This book provides the information needed to understand and apply model-drive engineering (MDE) and model-drive architecture (MDA) approaches to the development of embedded systems. Chapters, written by experts from academia and industry, cover topics relating to MDE practices and methods, as well as emerging MDE technologies. Much of the writing is based on the presentations given at the Summer School "MDE for Embedded Systems" held at Brest, France, in September 2004.
Build your expertise in the BPF virtual machine in the Linux kernel with this practical guide for systems engineers. You'll not only dive into the BPF program lifecycle but also learn to write applications that observe and modify the kernel's behavior; inject code to monitor, trace, and securely observe events in the kernel; and more. Authors David Calavera and Lorenzo Fontana help you harness the power of BPF to make any computing system more observable. Familiarize yourself with the essential concepts you'll use on a day-to-day basis and augment your knowledge about performance optimization, networking, and security. Then see how it all comes together with code examples in C, Go, and Python. Write applications that use BPF to observe and modify the Linux kernel's behavior on demand Inject code to monitor, trace, and observe events in the kernel in a secure way-no need to recompile the kernel or reboot the system Explore code examples in C, Go, and Python Gain a more thorough understanding of the BPF program lifecycle
Accessible to the Lean novice and shop floor employee, The Basics of Line Balancing and JIT Kitting explores line balancing and the pre-assembly of components into a finished product in a just-in-time fashion (JIT Kitting). It explains how to use time studies, develop yamazumi charts, discover and eliminate waste, balance your line, and create new standard work content for the shop floor. The book facilitates a clear understanding of the seven deadly wastes (muda) as well as what you can do to eliminate them from your facility. Describing the purpose and use of standard work, it explains how to properly staff work cells and how to develop flex plans for fluctuations in demand using this data. The first few chapters explain how to determine takt time and how to use that information along with time studies to identify when you are not meeting customer demand. The chapters on JIT Kitting explain how there are other advantages to kitting besides eliminating waste and increasing productivity. The book explains how you can use JIT Kitting to improve quality by having the parts available and limiting the options of numerous parts to the operator. It also provides the understanding needed to ensure the right parts are installed, thereby correcting issues with the build of materials.
Global surveys from McKinsey, BCG, Gartner, and others show that less than 30% of digital transformation programs succeed in their missions to improve a company's performance and employee productivity. This is due to the fact that IT efforts within the company do not center around the employee. This book will provide concrete steps to allow both IT professionals and business leaders to transform the way they deliver IT to employees - with the employee (the human) centered in their transformation. The concepts, models, checklists, and playbook you'll review are based on the author's many years of experience, lessons learned, and proven outcomes. IT organizations want to improve their employee experience but don't know how and this is the "must have" book for those who don't know where to start. More than two-thirds of today's jobs require good digital and IT skills from employees. The expectations of management, who invest in these big digital transformations, is that the employees will become more productive, effective and help the bottom line. However, this can only happen through active and proactive change of IT operations and transformations that center the employee, rather than technology or senior management. This book reveals the benefit of moving towards an approach where employees gain technology aptitude, are up for technology change, and are willing to learn more for their benefit and even provide feedback on ways to improve these tools, trainings and support. You'll see how employee engagement and experience research, concepts, and implementations are growing rapidly across many organizations and taking a key role in their global strategies. Employee-centric IT will transform employees to own their digital literacy and development, and this in turn reduces or even eliminates the shadow IT need and allows the organization to drive and implement successful digital transformation. What You'll Learn Understand the value of being employee-centric in IT departments versus current models Take steps to win IT team's acceptance of the changes needed to achieve employee-centricity Be proactive in providing training & information on digital & productivity tools Who This Book Is ForBusiness leaders, IT and digital leaders as well as IT employees who would like to transform their current IT and Digital teams to be more employee centric and drive highest level of value, adoption and satisfaction for their IT/digital programs, transformations and investment.
Modern embedded systems require high performance, low cost and low power consumption. Such systems typically consist of a heterogeneous collection of processors, specialized memory subsystems, and partially programmable or fixed-function components. This heterogeneity, coupled with issues such as hardware/software partitioning, mapping, scheduling, etc., leads to a large number of design possibilities, making performance debugging and validation of such systems a difficult problem. Embedded systems are used to control safety critical
applications such as flight control, automotive electronics and
healthcare monitoring. Clearly, developing reliable
software/systems for such applications is of utmost importance.
This book describes a host of debugging and verification methods
which can help to achieve this goal.
Not only do modeling and simulation help provide a better understanding of how real-world systems function, they also enable us to predict system behavior before a system is actually built and analyze systems accurately under varying operating conditions. Modeling and Simulation of Systems Using MATLAB and Simulink provides comprehensive, state-of-the-art coverage of all the important aspects of modeling and simulating both physical and conceptual systems. Various real-life examples show how simulation plays a key role in understanding real-world systems. The author also explains how to effectively use MATLAB and Simulink software to successfully apply the modeling and simulation techniques presented. After introducing the underlying philosophy of systems, the book offers step-by-step procedures for modeling different types of systems using modeling techniques, such as the graph-theoretic approach, interpretive structural modeling, and system dynamics modeling. It then explores how simulation evolved from pre-computer days into the current science of today. The text also presents modern soft computing techniques, including artificial neural networks, fuzzy systems, and genetic algorithms, for modeling and simulating complex and nonlinear systems. The final chapter addresses discrete systems modeling. Preparing both undergraduate and graduate students for advanced modeling and simulation courses, this text helps them carry out effective simulation studies. In addition, graduate students should be able to comprehend and conduct simulation research after completing this book. Ancillaries
Jack Ganssle has been forming the careers of embedded engineers for
20+ years. He has done this with four books, over 500 articles, a
weekly column, and continuous lecturing. Technology moves fast and
since the first edition of this best-selling classic much has
changed. The new edition will reflect the author's new and ever
evolving philosophy in the face of new technology and realities.
Digital Logic with an Introduction to Verilog and FPGA-Based Design provides basic knowledge of field programmable gate array (FPGA) design and implementation using Verilog, a hardware description language (HDL) commonly used in the design and verification of digital circuits. Emphasizing fundamental principles, this student-friendly textbook is an ideal resource for introductory digital logic courses. Chapters offer clear explanations of key concepts and step-by-step procedures that illustrate the real-world application of FPGA-based design. Designed for beginning students familiar with DC circuits and the C programming language, the text begins by describing of basic terminologies and essential concepts of digital integrated circuits using transistors. Subsequent chapters cover device level and logic level design in detail, including combinational and sequential circuits used in the design of microcontrollers and microprocessors. Topics include Boolean algebra and functions, analysis and design of sequential circuits using logic gates, FPGA-based implementation using CAD software tools, and combinational logic design using various HDLs with focus on Verilog. |
You may like...
Loose Leaf for Fundamentals of Electric…
Charles Alexander, Matthew Sadiku
Loose-leaf
R6,777
Discovery Miles 67 770
Terraform - Up and Running - Writing…
Yevgeniy Brikman
Paperback
DAMA-DMBOK - Data Management Body of…
DAMA International
Paperback
Systems Analysis And Design In A…
John Satzinger, Robert Jackson, …
Hardcover
(1)
Asymptotic Multiple Scale Method in Time…
Jan Awrejcewicz, Roman Starosta, …
Hardcover
R2,719
Discovery Miles 27 190
Machine Learning, Advances in Computing…
Anuradha Tomar, Hasmat Malik, …
Paperback
R7,725
Discovery Miles 77 250
Sustainability, Green IT and Education…
Tomayess Issa, Pedro Isaias, …
Hardcover
R4,568
Discovery Miles 45 680
|