Computer architecture and logic design Books

Book SynopsisLow power circuit design is a rapidly-growing field of research driven by the popularity of portable computers and the introduction of multimedia systems that rely on portable hardware.Trade Review"This is a highly recommended book for all academic engineering libraries." (E-Streams, Vol. 4, No. 8, August 2001)Table of ContentsLow-Power CMOS VLSI Design. Physics of Power Dissipation in CMOS FET Devices. Power Estimation. Synthesis for Low Power. Design and Test of Low-Voltage CMOS Circuits. Low-Power Static Ram Architectures. Low-Energy Computing Using Energy Recovery Techniques. Software Design for Low Power. Index.

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Book SynopsisThis book is an introductory text on structural analysis and structural design. While the emphasis is on fundamental concepts, the ideas are reinforced through a combination of limited versatile classical techniques and numerical methods. Structural analysis and structural design including optimal design are strongly linked through design examples.Table of ContentsDeterminate Structural Systems. Structural Design Fundamentals. Computation of Deflections. Indeterminate Structural Systems. Matrix-Based Numerical Methods of Structural Analysis. Computer-Based Structural Analysis. Optimum Structural Design. Design of Steel and Concrete Structures. Bibliography. Answers to Selected Problems. Appendices. Index.

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Book SynopsisA cutting-edge guide to the theory and practice of high-speed digital system design An understanding of high-speed interconnect phenomena is essential for digital designers who must deal with the challenges posed by the ever-increasing operating speeds of today''s microprocessors. This book provides a much-needed, practical guide to the state of the art of modern digital system design, combining easily accessible explanations with immensely useful problem-solving strategies. Written by three leading Intel engineers, High-Speed Digital System Design clarifies difficult and often neglected topics involving the effects of high frequencies on digital buses and presents a variety of proven techniques and application examples. Extensive appendices, formulas, modeling techniques as well as hundreds of figures are also provided. Coverage includes: * A thorough introduction to the digital aspects of basic transmission line theory * Crosstalk and nonideal transmissTrade Review"...an excellent guidebook for interconnect design...this very valuable work is highly recommended for design engineers and recent graduates struggling to transition from theory to real-world design." (Choice, Vol. 38, No. 8, April 2001) "This is an excellent book for anyone who has basic circuit theory knowledge.... It is a recommended book for all academic engineering libraries and would, also, be useful for the practicing engineer." (E-Streams, Vol. 4, No. 8, August 2001)Table of ContentsPreface. 1. The Importance of Interconnect Design. 1.1 The Basics. 1.2 The Past and the Future. 2. Ideal Transmission Line Fundamentals. 2.1 Transmission Line Structures on a PCB or MCM. 2.2 Wave Propagation. 2.3 Transmission Line Parameters. 2.3.1 Characteristic Impedance. 2.3.2 Propagation Velocity, Time, and Distance. 2.3.3 Equivalent Circuit Models for SPICE Simulation. 2.4 Launching Initial Wave and Transmission Line Reflections. 2.4.1 Initial Wave. 2.4.2 Multiple Reflections. 2.4.3 Effect of Rise Time on Reflections. 2.4.4 Reflections From Reactive Loads. 2.4.5 Termination Schemes to Eliminate Reflections. 2.5 Additional Examples. 2.5.1 Problem. 2.5.2 Goals. 2.5.3 Calculating the Cross-Sectional Geometry of the PCB. 2.5.4 Calculating the Propagation Delay. 2.5.5 Determining the Wave Shape Seen at the Receiver. 2.5.6 Creating an Equivalent Circuit. 3. Crosstalk. 3.1 Mutual Inductance and Mutual Capacitance. 3.2 Inductance and Capacitance Matrix. 3.3 Field Simulators. 3.4 Crosstalk-Induced Noise. 3.5 Simulating Crosstalk Using Equivalent Circuit Models. 3.6 Crosstalk-Induced Flight Time and Signal Integrity Variations. 3.6.1 Effect of Switching Patterns on Transmission Line Performance. 3.6.2 Simulating Traces in a Multiconductor System Using a Single-Line Equivalent Model. 3.7 Crosstalk Trends. 3.8 Termination of Odd- and Even-Mode Transmission Line Pairs. 3.8.1 Pi Termination Network. 3.8.2 T Termination Network. 3.9 Minimization of Crosstalk. 3.10 Additional Examples. 3.10.1 Problem. 3.10.2 Goals. 3.10.3 Determining the Maximum Crosstalk-Induced Impedance and Velocity Swing. 3.10.4 Determining if Crosstalk Will Induce False Triggers. 4. Nonideal Interconnect Issues. 4.1 Transmission Line Losses. 4.1.1 Conductor DC Losses. 4.1.2 Dielectric DC Losses. 4.1.3 Skin Effect. 4.1.4 Frequency-Dependent Dielectric Losses. 4.2 Variations in the Dielectric Constant. 4.3 Serpentine Traces. 4.4 Intersymbol Interference. 4.5 Effects of 90 Bends. 4.6 Effect of Topology. 5. Connectors, Packages, and Vias. 5.1 Vias. 5.2 Connectors. 5.2.1 Series Inductance. 5.2.2 Shunt Capacitance. 5.2.3 Connector Crosstalk. 5.2.4 Effects of Inductively Coupled Connector Pin Fields. 5.2.5 EMI. 5.2.6 Connector Design Guidelines. 5.3 Chip Packages. 5.3.1 Common Types of Packages. 5.3.2 Creating a Package Model. 5.3.3 Effects of a Package. 5.3.4 Optimal Pin-Outs. 6. Nonideal Return Paths, Simultaneous Switching Noise, and Power Delivery. 6.1 Nonideal Current Return Paths. 6.1.1 Path of Least Inductance. 6.1.2 Signals Traversing a Ground Gap. 6.1.3 Signals That Change Reference Planes. 6.1.4 Signals Referenced to a Power or a Ground Plane. 6.1.5 Other Nonideal Return Path Scenarios. 6.1.6 Differential Signals. 6.2 Local Power Delivery Networks. 6.2.1 Determining the Local Decoupling Requirements for High-Speed I/O. 6.2.2 System-Level Power Delivery. 6.2.3 Choosing a Decoupling Capacitor. 6.2.4 Frequency Response of a Power Delivery System. 6.3 SSO/SSN. 6.3.1 Minimizing SSN. 7. Buffer Modeling. 7.1 Types of Models. 7.2 Basic CMOS Output Buffer. 7.2.1 Basic Operation. 7.2.2 Linear Modeling of the CMOS Buffer. 7.2.3 Behavioral Modeling of the Basic CMOS Buffer. 7.3 Output Buffers That Operate in the Saturation Region. 7.4 Conclusions. 8. Digital Timing Analysis. 8.1 Common-Clock Timing. 8.1.1 Common-Clock Timing Equations. 8.2 Source Synchronous Timing. 8.2.1 Source Synchronous Timing Equations. 8.2.2 Deriving Source Synchronous Timing Equations from an Eye Diagram. 8.2.3 Alternative Source Synchronous Schemes. 8.3 Alternative Bus Signaling Techniques. 8.3.1 Incident Clocking. 8.3.2 Embedded Clock. 9. Design Methodologies. 9.1 Timings. 9.1.1 Worst-Case Timing Spreadsheet. 9.1.2 Statistical Spreadsheets. 9.2 Timing Metrics, Signal Quality Metrics, and Test Loads. 9.2.1 Voltage Reference Uncertainty. 9.2.2 Simulation Reference Loads. 9.2.3 Flight Time. 9.2.4 Flight-Time Skew. 9.2.5 Signal Integrity. 9.3 Design Optimization. 9.3.1 Paper Analysis. 9.3.2 Routing Study. 9.4 Sensitivity Analysis. 9.4.1 Initial Trend and Significance Analysis. 9.4.2 Ordered Parameter Sweeps. 9.4.3 Phase 1 Solution Space. 9.4.4 Phase 2 Solution Space. 9.4.5 Phase 3 Solution Space. 9.5 Design Guidelines. 9.6 Extraction. 9.7 General Rules of Thumb to Follow When Designing a System. 10. Radiated Emissions Compliance and System Noise Minimization. 10.1 FCC Radiated Emission Specifications. 10.2 Physical Mechanisms of Radiation. 10.2.1 Differential-Mode Radiation. 10.2.2 Common-Mode Radiation. 10.2.3 Wave Impedance. 10.3 Decoupling and Choking. 10.3.1 High-Frequency Decoupling at the System Level. 10.3.2 Choking Cables and Localized Power and Ground Planes. 10.3.3 Low-Frequency Decoupling and Ground Isolation. 10.4 Additional PCB Design Criteria, Package Considerations, and Pin-Outs. 10.4.1 Placement of High-Speed Components and Traces. 10.4.2 Crosstalk. 10.4.3 Pin Assignments and Package Choice. 10.5 Enclosure (Chassis) Considerations. 10.5.1 Shielding Basics. 10.5.2 Apertures. 10.5.3 Resonances. 10.6 Spread Spectrum Clocking. 11. High-Speed Measurement Techniques. 11.1 Digital Oscilloscopes. 11.1.1 Bandwidth. 11.1.2 Sampling. 11.1.3 Other Effects. 11.1.4 Statistics. 11.2 Time-Domain Reflectometry. 11.2.1 TDR Theory. 11.2.2 Measurement Factors. 11.3 TDR Accuracy. 11.3.1 Launch Parasitics. 11.3.2 Probe Types. 11.3.3 Reflections. 11.3.4 Interface Transmission Loss. 11.3.5 Cable Loss. 11.3.6 Amplitude Offset Error. 11.4 Impedance Measurement. 11.4.1 Accurate Characterization of Impedance. 11.4.2 Measurement Region in TDR Impedance Profile. 11.5 Odd- and Even-Mode Impedance. 11.6 Crosstalk Noise. 11.7 Propagation Velocity. 11.7.1 Length Difference Method. 11.7.2 Y-Intercept Method. 11.7.3 TDT Method. 11.8 Vector Network Analyzer. 11.8.1 Introduction to S Parameters. 11.8.2 Equipment. 11.8.3 One-Port Measurements (ZO,L,C). 11.8.4 Two-Port Measurements (Td, Attenuation, Crosstalk). 11.8.5 Calibration. 11.8.6 Calibration for One-Port Measurements. 11.8.7 Calibration for Two-Port Measurements. 11.8.8 Calibration Verification. Appendix A: Alternative Characteristic Impedance Formulas. A.1 Microstrip. A.2 Symmetric Stripline. A.3 Offset Stripline. Appendix B: GTL Current-Mode Analysis. B.1 Basic GTL Operation. B.2 GTL Transitions When a Middle Agent Is Driving. B.3 GTL Transitions When an End Agent With a Termination Is Driving. B.4 Transitions When There is a Pull-Up at the Middle Agent. Appendix C: Frequency-Domain Components in a Digital Signal. Appendix D: Useful S-Parameter Conversions. D.1 ABCD, Z, and Y Parameters. D.2 Normalizing the S Matrix to a Different Characteristic Impedance. D.3 Derivation of the Formulas Used to Extract the Mutual Inductance and Capacitance from a Short Structure Using S21 Measurements. D.4 Derivation of the Formula to Extract Skin Effect Resistance from a Transmission Line. Appendix E: Definition of the Decibel. Appendix F: FCC Emission Limits. Bibliography. Index.

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Book SynopsisA landmark chip like the P6 or Pentium 4 doesn't just happen. It takes a confluence of brilliant minds, dedication for beyond the ordinary, and management that nurtures the vision while keeping a firm hand on the project tiller.Trade Review"...it reads like a novel...The story is chronicled by insider Colwell in a style that commands reader attention...highly recommended." (CHOICE, May 2006) "…an anecdotal account of its development from someone who was in on it from the start…there is something there for everyone about life in a large organization." (Cool Tech Reviews, March 6, 2006) "Such a perfect miscellany of…experiences finely blended with humor and reality is a sumptuous feast for engineers and project managers…marvelous piece of computer history." (TechBulletin, February 10, 2006) "This particular book on the genesis of Intel's groundbreaking P6 programme of the early 1990s...gives us some worthwhile pointers...a worthy book, and worth a recommendation..." (TechWorld, February 7, 2006) "This insightful book promises to become a classic, and the reader is warned that it is hard to put down." (Computing Reviews.com, February 23, 2005) "…the book will particularly appeal to engineers working in the computing industry." (Physics World, February 2006)Table of ContentsForeword. Preface. 1. Introduction. 2. The Concept Phase. 3. The Refinement Phase. 4. The Realization Phase. 5. The Production Phase. 6. The People Factor. 7. Inquiring Minds Like Yours. Bibliography. Appendix. Glossary. Index.

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Book SynopsisBoth a tutorial and a reference guide, this manual presents a number of techniques for solving recurring software design problems in a comprehensive manner which includes many guidelines and constraints regarding practical applications.Table of ContentsAbout this Book xi Guide to the Reader xvii 1 Patterns 1 2 Architectural Patterns 25 3 Design Patterns 221 4 Idioms 345 5 Pattern Systems 359 6 Patterns and Software Architecture 383 7 The Pattern Community 413 8 Where Will Patterns Go? 419 9 Notations 429 Glossary 433 References 441 Index of Patterns 455 Index 459

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Book SynopsisPerformance of Computer Communication Systems A Model-Based Approach Boudewijn R. Haverkort Rheinisch-Westfälische Technische Hochschule Aachen, Germany Computer communication systems and distributed systems are now able to provide an increasing range of services. As the timing requirements in the operation of these services are becoming crucial for the global community. performance assessment and selection of communication and distributed systems are, therefore, becoming more important. In this book, the author illustrates the techniques and methods used to evaluate the performance of computer communication systems, thereby covering all aspects of model-based performance evaluation. Unlike other books on this topic, there is no restriction to a particular performance evaluation technique. Notable features in this book include: * coverage of all major techniques of performance evaluation * non-mathematical problem solving approach, explaining and illustrating performance evaluaTrade Review"All the major techniques and methods used to evaluate the performance...of computer communications systems are in this book." (Aslib Book Guide, Vol. 64, No. 3, March 1999)Table of ContentsPartial table of contents: PERFORMANCE MODELLING WITH STOCHASTIC PROCESSES. Little's Law and the MM1 Queue. SINGLE-SERVER QUEUEING MODELS. MG1-FCFS Queueing Models. MG1 Queueing Models with Various Scheduling Disciplines. PHPH1 Queueing Models. Polling Models. QUEUEING NETWORK MODELS. Closed Queueing Networks. BCMP Queueing Networks. STOCHASTIC PETRI NET MODELS. Stochastic Petri Net Applications. Infinite-State SPNs. SIMULATION. Simulation: Methodology and Statistics. Appendices. Bibliography. Index.

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Book SynopsisThis introductory textbook provides students with a system-level perspective and the tools they need to understand, analyze and design digital systems. Going beyond the design of simple combinational and sequential modules, it shows how such modules are used to build complete systems, reflecting real-world digital design. All the essential topics are covered, including design and analysis of combinational and sequential modules, as well as system timing and synchronization. It also teaches how to write Verilog HDL in a productive and maintainable style that enables CAD tools to do much of the tedious work. A complete introduction to digital design is given through clear explanations, extensive examples and online Verilog files. The teaching package is completed with lecture slides, labs and a solutions manual for instructors. Assuming no previous digital knowledge, this textbook is ideal for undergraduate digital design courses that will prepare students for modern digital practice.Trade Review'Dally and Harting blend circuit and architecture design in a clear and constructive manner on the basis of their exceptional experience in digital design. Students will discover a modern and effective way to understand the fundamental underpinning of digital design, by being exposed to the different abstraction levels and views of computing systems.' Giovanni De Micheli, École Polytechnique Fédérale de Lausanne'Bill and Curt have combined decades of academic and industry experience to produce a textbook that teaches digital system design from a very practical perspective without sacrificing the theoretical understanding needed to train tomorrow's engineers. Their approach pushes students to understand not just what they are designing but also what they are building. By presenting key advanced topics, such as synthesis, delay and logical effort, and synchronization, at the introductory level, this book is in the rare position of providing both practical advice and deep understanding. In doing so, this book will prepare students well even as technology, tools, and techniques change in the future.' David Black-Schaffer, Uppsala University'Everything you would expect from a book on digital design from [Professor] Dally. Decades of practical experience are distilled to provide the tools necessary to design and compose complete digital systems. A clear and well written text that covers the basics and system-level issues equally well. An ideal starting point for the microprocessor and SoC designers of the future!' Robert Mullins, University of Cambridge and the Raspberry Pi Foundation'This textbook sets a new standard for how digital system design is taught to undergraduates. The practical approach and concrete examples [provide] a solid foundation for anyone who wants to understand or design modern complex digital systems.' Steve Keckler, University of Texas, Austin'This book not only teaches how to do digital design, but more importantly shows how to do good design. It stresses the importance of modularization with clean interfaces, and the importance of producing digital artifacts that not only meet their specifications, but which can also be easily understood by others. It uses an aptly chosen set of examples and the Verilog code used to implement them … It includes a section on the design of asynchronous logic, a topic that is likely to become increasingly important as energy consumption becomes a primary concern in digital systems … The final appendix on Verilog coding style is particularly useful. This book will be valuable not only to students, but to practitioners in the area. I recommend it highly.' Chuck Thacker, Microsoft'A terrific book with a terrific point of view of systems. Everything interesting - and awful - that happens in digital design happens because engineers must integrate ideas from bits to blocks, from signals to CPUs. The book does a great job of focusing on the important stuff, moving from foundations to systems, with the right amount of HDL (Verilog) focus to make everything practical and relevant.' Rob A. Rutenbar, University of Illinois, Urbana-ChampaignTable of ContentsPart I. Introduction: 1. The digital abstraction; 2. The practice of digital system design; Part II. Combinational Logic: 3. Boolean algebra; 4. CMOS logic circuits; 5. Delay and power of CMOS circuits; 6. Combinational logic design; 7. Verilog descriptions of combinational logic; 8. Combinational building blocks; 9. Combinational examples; Part III. Arithmetic Circuits: 10. Arithmetic circuits; 11. Fixed- and floating-point numbers; 12. Fast arithmetic circuits; 13. Arithmetic examples; Part IV. Synchronous Sequential Logic: 14. Sequential logic; 15. Timing constraints; 16. Datapath sequential logic; 17. Factoring finite-state machines; 18. Microcode; 19. Sequential examples; Part V. Practical Design: 20. Verification and test; Part VI. System Design: 21. System-level design; 22. Interface and system-level timing; 23. Pipelines; 24. Interconnect; 25. Memory systems; Part VII. Asynchronous Logic: 26. Asynchronous sequential circuits; 27. Flip-flops; 28. Metastability and synchronization failure; 29. Synchronizer design; Appendix A. Verilog coding style; References; Index of Verilog modules; Subject index.

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Book SynopsisThis second edition continues to provide a clear introduction to formal reasoning which is both relevant to the needs of modern computer science and rigorous enough for practical application. Improvements have been made throughout, with many extra and expanded sections and exercises. The coverage of model-checking has been substantially updated.Trade Review'… an unusual, inspiring and remarkable book … one can find in it all the material which is suitable for undergraduate and beginning graduate students in computer science and electrical engineering who will profit by using it in their professional activities in the near future.' Zentralblatt MATH'The second edition of this successful textbook continues to provide a clear introduction to formal reasoning relevant to the needs of modern computer science and sufficiently exacting for practical applications.' Phinews'This book provides an elegant introduction to formal reasoning that is relevant to computation science. This second edition improves the first one with extra and expanded sections on temporal logic model checking, SAT solvers, second-order logic, the Alloy specification language, and programming by contract. The material is up-to-date and practical …' Zentralblatt MATHTable of ContentsForeword; 1. Propositional logic; 2. Predicate logic; 3. Verification by model checking; 4. Program verification; 5. Modal logics and agents; 6. Binary decision diagrams; Bibliography; Index.

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Book SynopsisThis book explains, in lay terms, the surprisingly simple system of mathematical logic used in digital computer circuitry. Anecdotal in its style and often funny, it follows the development of this logic system from its origins in Victorian England to its rediscovery in this century as the foundation of all modern computing machinery. ONES AND ZEROS will be enjoyed by anyone who has a general interest in science and technology.Table of ContentsBefore We Begin. Number Systems and Counting. The Basic Functions of Boolean Algebra: And, Or, And Not. Combinational Logic. The Algebra of Sets and Venn Diagrams. Other Boolean Functions. Realizing Any Boolean Function with And, Or, And Not. More Digital Circuits. Laws of Boolean Algebra. Boolean Logic. Appendix A: Counting in Base 2. Appendix B: Powers of 2. Appendix C: Summary of Boolean Functions. Further Reading. Answers to Exercises. Index. About the Author.

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Book SynopsisThis book covers the design of next generation microprocessors in deep submicron CMOS technologies. The chapters in Design of High Performance Microprocessor Circuits were written by some of the world's leading technologists, designers, and researchers.Table of ContentsPreface. OVERVIEW. Impact of Physical Technology on Architecture (John H. Edmondson). TECHNOLOGY ISSUES. CMOS Scaling and Issues in SUB-0.25µm Systems (Yuan Taur). Techniques for Leakage Power Reduction (Vivek De, Yibin Ye, et al.). Low-Voltage Technologies (Tadahiro Kuroda and Takayasu Sakurai). SOI Technology and Circuits (Ghavam G. Shahidi, Fari Assaderaghi and Dimitri Antoniadis). Models of Process Variations in Device and Interconnect (Duane Boning and Sani Nassif). CIRCUIT STYLES FOR LOGIC. Basic Logic Families (Kerry Bernstein). Issues in Dynamic Logic Design (Paul Gronowski). Self-Timed Pipelines (Ted Williams). High-Speed VLSI Arithmetic Units: Adders and Multipliers (Vojin G. Oklobdzija). CLOCKING. Clocked Storage Elements (Hamid Partovi). Design of High-Speed CMOS PLLs and DLLs (John George Maneatis). Clock Distribution (Daniel W. Bailey). MEMORY SYSTEM DESIGN. Register Files and Caches (Ronald Preston). Embedded DRAM (Tadaaki Yamauchi and Michihiro Yamada). INTERCONNECT AND I/O. Analyzing On-Chip Interconnect Effects (Noel Menezes and Lawrence Pileggi). Techniques for Driving Interconnect (Shannon V. Morton). I/O and ESD Circuit Design (Stephen C. Thierauf and Warren R. Anderson). High-Speed Electrical Signaling (Stefanos Sidropoulos, Chih-Kong Ken Yang, and Mark Horowitz). RELIABILITY. Electromigration Reliability (J. Joseph Clement). Hot Carrier Reliability (Kaizad Mistry). CAD TOOLS AND TEST. Overview of Computer-Aided Design Tools (Yao-Tsung Yen). Timing Verification (Victor Peng). Design and Analysis of Power Distribution Networks (David Blaauw, Rajendran Panda, and Rajat Chaudhry). Testing of High-Performance Processors (Dilip K. Bhavsar). Index.

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Book SynopsisAs computers become more complex, the number and complexity of the tasks facing the computer architect have increased. Computer performance often depends in complex way on the design parameters and intuition that must be supplemented by performance studies to enhance design productivity. This book introduces computer architects to computer system performance models and shows how they are relatively simple, inexpensive to implement, and sufficiently accurate for most purposes. It discusses the development of performance models based on queuing theory and probability. The text also shows how they are used to provide quick approximate calculations to indicate basic performance tradeoffs and narrow the range of parameters to consider when determining system configurations. It illustrates how performance models can demonstrate how a memory system is to be configured, what the cache structure should be, and what incremental changes in cache size can have on the miss rate. A part

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Book SynopsisThis excellent reference for all those involved in neural networks research and application presents, in a single text, the necessary aspects of parallel implementation for all major artificial neural network models. The book details implementations on varoius processor architectures (ring, torus, etc.) built on different hardware platforms, ranging from large general purpose parallel computers to custom built MIMD machines using transputers and DSPs. Experts who performed the implementations author the chapters and research results are covered in each chapter. These results are divided into three parts. Theoretical analysis of parallel implementation schemes on MIMD message passing machines. Details of parallel implementation of BP neural networks on a general purpose, large, parallel computer. Four chapters each describing a specific purpose parallel neural computer configuration. This book is aimed at graduate students

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Book SynopsisUnsupervised Signal Processing: Channel Equalization and Source Separation provides a unified, systematic, and synthetic presentation of the theory of unsupervised signal processing. Always maintaining the focus on a signal processing-oriented approach, this book describes how the subject has evolved and assumed a wider scope that covers several topics, from well-established blind equalization and source separation methods to novel approaches based on machine learning and bio-inspired algorithms.From the foundations of statistical and adaptive signal processing, the authors explore and elaborate on emerging tools, such as machine learning-based solutions and bio-inspired methods. With a fresh take on this exciting area of study, this book: Provides a solid background on the statistical characterization of signals and systems and on linear filtering theory Emphasizes the link between supervised and unsupervised processing from thTable of ContentsIntroduction. Statistical Characterization of Signals and Systems. Linear Optimal and Adaptive Filtering. Unsupervised Channel Equalization. Unsupervised Multichannel Equalization. Blind Source Separation. Nonlinear Filtering and Machine Learning. Bio-Inspired Optimization Methods. Appendices.

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Book SynopsisWith market value expected to reach $5 billion by 2007 and the endorsement of some of the biggest names in telecommunications, World Interoperability for Microwave Access (WiMAX) is poised to change the broadband wireless landscape. But how much of WiMAX's touted potential is merely hype? Now that several pre-WiMAX networks have been deployed, what are the operators saying about QoS and ROI? How and when will device manufacturers integrate WiMAX into their products? What is the business case for using WiMAX rather than any number of other established wireless alternatives?WiMAX: Taking Wireless to the MAX examines the evolution of wireless, broadband, and the wireless broadband landscape with exhaustive coverage of technological advances and evolving topologies. It sets the tone for the journey towards untouched wireless heights - WiMAX. The author builds a complete understanding of Broadband Wireless Access (BWA) Technologies, elaborating on past developments, present needsTable of ContentsIntroduction. Setting the Stage. Telecommunication: A Connecting Mechanism. The Internet Takes Off. The Broader the Better. Wired versus Wireless. Broadband Unwired. Understanding the Technology. Surveying the Landscape. Identifying the Market. Predicting the Future. Analyzing the Model. Planning the Strategy. Conclusion.

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Book SynopsisA True Textbook for an Introductory Course, System Administration Course, or a Combination CourseLinux with Operating System Concepts, Second Edition merges conceptual operating system (OS) and Unix/Linux topics into one cohesive textbook for undergraduate students. The book can be used for a one- or two-semester course on Linux or Unix. It is complete with review sections, problems, definitions, concepts and relevant introductory material, such as binary and Boolean logic, OS kernels and the role of the CPU and memory hierarchy.Details for Introductory and Advanced UsersThe book covers Linux from both the user and system administrator positions. From a user perspective, it emphasizes command-line interaction. From a system administrator perspective, the text reinforces shell scripting with examples of administration scripts that support the automation of administrator tasks.Thorough Coverage of Concepts and Linux CommandsTable of ContentsPreface. Acknowledgments and Contributions. Author. Chapter 1 Linux: What, Why, Who and When, and How. Chapter 2 Bash. Chapter 3 Linux File Commands. Chapter 4 Managing Processes. Chapter 5 Regular Expressions. Chapter 6 Shell Scripting. Chapter 7 User Accounts. Chapter 8 Administering Linux File Systems. Chapter 9 System Initialization and Services. Chapter 10 Network Configuration. Chapter 11 Software Installation and Maintenance. Chapter 12 Maintaining and Troubleshooting Linux. Bibliography. Index.

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Book SynopsisDerived from industry-training classes that the author teaches at the Embedded Systems Institute at Eindhoven, the Netherlands and at Buskerud University College at Kongsberg in Norway, Systems Architecting: A Business Perspective places the processes of systems architecting in a broader context by juxtaposing the relationship of the systems architect with enterprise and management. This practical, scenario-driven guide fills an important gap, providing systems architects insight into the business processes, and especially into the processes to which they actively contribute.The book uses a simple reference model to enable understanding of the inside of a system in relation to its context. It covers the impact of tool selection and brings balance to the application of the intellectual tools versus computer-aided tools. Stressing the importance of a clear strategy, the authors discuss methods and techniques that facilitate the architect's contributioTable of ContentsProcess and Organization. Role and Task of the Systems Architect. From Customer Understanding to Requirements. Systems Architect Methods and Means. Strategy.Harvesting Synergy, Product Families. Supporting Processes. Systems and Software. Boardroom Presentation. Human Side. Reflection and Wrap-Up. References. Pictorial Index.

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Book SynopsisThis book highlights the importance of data-driven techniques to solve wireless communication problems. It presents a number of problems (e.g., related to performance, security, and social networking), and provides solutions using various data-driven techniques, including machine learning, deep learning, federated learning, and artificial intelligence.This book details wireless communication problems that can be solved by data-driven solutions. It presents a generalized approach toward solving problems using specific data-driven techniques. The book also develops a taxonomy of problems according to the type of solution presented and includes several case studies that examine data-driven solutions for issues such as quality of service (QoS) in heterogeneous wireless networks, 5G/6G networks, and security in wireless networks. The target audience of this book includes professionals, researchers, professors, and students working in the field of networking, communicationTable of ContentsPart 1: Data-Driven Wireless Networks: Design and ApplicationsChapter 1: Data-Driven Wireless Networks: A PerspectiveChapter 2: A Collaborative Data-Driven Intelligence for Future Wireless NetworksChapter 3: Federated learning Technique in Enabling Data-driven Design for Wireless CommunicationChapter 4: Application of Wireless Network Data Driver using Edge Computing and Deep Learning in Intelligent TransportationChapter 5: Data-Driven Agriculture and the Role of AI in Smart FarmingPart II: Data-Driven Techniques and Security Issues in Wireless NetworksChapter 6: Data-Driven Techniques and Security Issues in Wireless NetworkChapter 7: Data-Driven Techniques for Intrusion Detection in Wireless NetworksPart III: Advanced Topics in Data-Driven Intelligence for Wireless NetworksChapter 8: Policy-based Data Analytic for Software-Defined WirelessChapter 9: Data-Driven Coexistence in Next-Generation Heterogeneous Cellular NetworksChapter 10: Programming Languages, Tools, and Technique

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Book SynopsisNumerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases. Covers replication of highly accurate numerical simulations using Artificial Intelligence and Machine Learning Details application in reservoir simulation and modeling and computational fluid dynamics Includes real case studies based on commercially available simulators Table of Contents 1. Artificial Intelligence and Machine Learning. 2. Numerical simulation and modeling. 3. Proxy modeling. 4. Smart Proxy Modeling for numerical reservoir simulation. 5. Smart Proxy Modeling for computational fluid dynamics (CFD).

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Book SynopsisThis book covers different aspects of Internet of Drones (IoD) including fundamentals in drone design, deployment challenges, and development of applications. It starts with a detailed description of concepts and processes in designing an efficient system, and architecture. It details different applications of IoD and its implementations in smart cities, agriculture, health care, defense, security, logistics, GIS mapping, and so forth. Recent developments in IoD design, application of AI techniques, case studies, and future directions are covered.Features: Focuses on important perspectives of the Internet of Drones (IoD) Emphasizes drone deployment in smart cities, smart agriculture, smart health care, and 3D mapping Covers challenges in drone design for applications with security and privacy issues Reviews diversified drone applications with real-use cases from modern drone players ranging from start-up companies to big giants in the dTable of Contents1. Internet Of Drones: Applications, Challenges, Opportunities. 2. Modelling, Simulation, and Analysis Hybrid Unmanned Aerial Vehicle with C-Wing. 3. Influence of Machine Learning Technique in Unmanned Aerial Vehicle. 4. Review of Medical Drones in Healthcare Applications. 5. CoVacciDrone: An Algorithmic-Drone-Based COVID-19 Vaccine Distribution Strategy. 6. Ambulance Drone for Rescue - A Perspective on Conceptual Design, Life Detection Systems, and Prototype Development. 7. A Comprehensive Review on Internet of Agro Drones for Precision Agriculture. 8. A Smart WeeDrone for Sustainable Agriculture. 9. Internet of Agro Drones for Precision Agriculture. 10. IOD-Enabled Swarm of Drones for Air Space Control. 11. Drones for Disaster Response and Management.

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Book SynopsisThis book describes how to establish data science and analytics capabilities in organisations using Emergent Design, an evolutionary approach that increases the chances of successful outcomes while minimising upfront investment. Based on their experiences and those of a number of data leaders, the authors provide actionable advice on data technologies, processes, and governance structures so that readers can make choices that are appropriate to their organisational contexts and requirements.The book blends academic research on organisational change and data science processes with real-world stories from experienced data analytics leaders, focusing on the practical aspects of setting up a data capability. In addition to a detailed coverage of capability, culture, and technology choices, a unique feature of the book is its treatment of emerging issues such as data ethics and algorithmic fairness.Data Science and Analytics Strategy: An Emergent DesTrade Review"Not only does the discipline of data science need this book, it holds critical insights and lessons for other facets of enterprise IT too. For the first time, the critically important ideas of Emergent Design practice have been weaved into the hyper-rational world of data science in an accessible and practical way. Kailash Awati and Alex Scriven have written the first Data Science book of its kind – a must read for anyone interested in the governance of data and the complex problems that data and analytics seeks to help solve." -Paul Culmsee, Managing Partner, Seven Sigma Business Solutions"If you are passionate about the successful implementation of Data Science and Analytics strategies, then put this book on your required reading list. You will learn why and how to define a direction by finding and framing problems that matter to people across the organisation." -Zanne Van Wyk, Worldwide Education Industry Architect at Microsoft"Data Science and Analytics Strategy covers a wide range of topics like building analytics and data science capability, building data driven culture in the organization and ethical aspects of practicing data science. It includes advice which are easy and very practical to use in real world scenarios. All in all, a great read for all those who want to setup analytics and data science practises within their organization. " - Duhita Khadepau Director (Analytics and Data Science), Assignar"A refreshingly practical approach to success in data science and machine learning. The value of Awati and Scriven's contribution to this field is that emergent design lends to data science a coherence that previously was missed in the chasm between the promise of new tech and the organisational change required to harness it. They've bridged that gap with a highly accessible read, weaving the wealth of their collective experience with the rigour of leading researchers, intellectuals and practitioners into a lively jaunt covering the full vocabulary of concepts for leaders (from deep learning to tech stack to GDPR) that will hold 'aha' moments for even the most seasoned data and analytics professionals and (hopefully!) spawn a new generation of strategic leadership and emergent practice in this space." -Passiona Cottee, Associate Director, NSW Government."Succeeding with Data Science and Analytics is no easy ride, however this book gives the reader a range of ideas and actions to combat the challenges faced by professionals in this field. Finding a path to success requires new approaches and this book provides a refreshing perspective for practitioners to consider as they strive for success." -Sandra Hogan, Co-founder Amperfii. Table of ContentsForeword. Preface. Acknowledgements. Contributors. 1. Introduction. 2. What Is Data Science? 3. The Principles of Emergent Design. 4. Charting a Course. 5. Capability and Culture. 6. Technical Choices. 7. Doing Data Science: From Planning to Production. 8. Doing the Right Thing. 9. Coda. Index.

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Book SynopsisThis book provides applications of machine learning in healthcare systems and seeks to close the gap between engineering and medicine by combining design and problem-solving skills of engineering with health sciences to advance healthcare treatment. Machine Learning and Artificial Intelligence in Healthcare Systems: Tools and Techniques discusses AI-based smart paradigms for reliable prediction of infectious disease dynamics; such paradigms can help prevent disease transmission. It highlights the different aspects of using extended reality for diverse healthcare applications and aggregates the current state of research. The book offers intelligent models of the smart recommender system for personal well-being services and computer-aided drug discovery and design methods. Case studies illustrating the business processes that underlie the use of big data and health analytics to improve healthcare delivery are center stage. Innovative techniques used for extractingTable of Contents1. Artificial Intelligence Challenges, Principles, and Applications in Smart Healthcare Systems. 2. Systematic View and Impact of Artificial Intelligence in Smart Healthcare Systems, principles, challenges and Applications. 3. Application of Machine Learning Techniques in COVID-19 Epidemiology: A Glimpse. 4. Automated Seven-Level Skin Cancer Staging Diagnosis in Dermoscopic images using Deep Learning. 5. Ensemble Classifier Based Predictive Model for Type-2 Diabetes Mellitus Prediction. 6. Machine Learning Approaches for Analysis in Smart Healthcare Informatics. 7. Smart Approaches for Diagnosis of Brain Disorders using Artificial Intelligence. 8. Bridging the Gap Between Technology and Medicine: Approaches of Artificial Intelligence in Healthcare. 9. Brain Tumor Classification using Transfer Learning. 10. Advanced Bayesian Estimation Of Weibull In Early Stage Eye Loss Prediction In Diabetic Retinopathy. 11. Automated Sleep Staging Using Single-Channel EEG SIgnal based on Machine Learning Approaches. 12. Machine Learning Based Intelligent Assistant for Smart Healthcare. 13. AI-Enabled Sentiment Analysis on COVID-19 Vaccination: A Twitter based study. 14. An Early Diagnosis of Lung Nodule Using CT Images based on Hybrid Machine Learning techniques. 15. Early Detection of Alzheimer’s Disease Assisted by AI-Powered Human-Robot Communication.

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Book SynopsisKnowledge-based systems and solving knowledge integrating problems have seen a great surge of research activity in recent years. Knowledge Integration Methods provides a wide snapshot of building knowledge-based systems, inconsistency measures, methods for handling consistency, and methods for integrating knowledge bases. The book also provides the mathematical background to solving problems of restoring consistency and integrating probabilistic knowledge bases in the integrating process. The research results presented in the book can be applied in decision support systems, semantic web systems, multimedia information retrieval systems, medical imaging systems, cooperative information systems, and more. This text will be useful for computer science graduates and PhD students, in addition to researchers and readers working on knowledge management and ontology interpretation.Table of Contents1. Introduction 2. Probabilistic Knowledge-based Systems 3. Consistency Measures for Probabilistic Knowledge Bases 4. Methods for Restoring Consistency in Probabilistic Knowledge Bases 5. Distance-Based Methods for Integrating Probabilistic Knowledge Bases 6. Value-based Method for Integrating Probabilistic Knowledge Bases 7. Experiments and Applications 8. Conclusions and Open Problems

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Network Evolution and Applications provides a comprehensive, integrative, and easy approach to understanding the technologies, concepts, and milestones in the history of networking. It provides an overview of different aspects involved in the networking arena that includes the core technologies that are essential for communication and important in our day-to-day life. It throws some light on certain past networking concepts and technologies that have been revolutionary in the history of science and technology and have been highly impactful. It expands on various concepts like Artificial Intelligence, Software Defined Networking, Cloud Computing, and Internet of Things, which are very popular at present. This book focuses on the evolutions made in the world of networking. One can't imagine the world without the Internet today; with the Internet and the present- day networking, distance doesn't matter at all. The COVID-19 pandemic has resulted in a tough time worldwide

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Book SynopsisThe emergence of highly promising and potent technologies has enabled the transition of ordinary objects into smart artifactsproviding wider connectivity of digitized entities that can facilitate the building of connected cities. This book provides readers with a solid foundation on the latest technologies and tools required to develop and enhance smart cities around the world.The book begins by examining the rise of the cloud as the fundamental technology for establishing and sustaining smart cities and enterprises. Explaining the principal technologies and platform solutions for implementing intelligent cities, the book details the role of various technologies, standards, protocols, and tools in establishing flexible homes and the buildings of the future. Examines IT platforms and tools from various product vendors Considers service-oriented architecture and event-driven architecture for smart city applications Explains how to leverage big data aTrade ReviewIn this book, the authors have presented a large number of right and relevant details on realizing and sustaining intelligent cities (the system of systems) across the world. ... this book will be informative and inspiring for readers, especially business executives, technical experts, solution architects, city planners and consultants, and government officials. The book has been designed and developed to be comprehensive and compact in explaining the nitty-gritty of promising smart city technologies, IT solutions, and use cases.—Sandesh Bhat, Vice President, India Software Labs, IBM Table of ContentsEnvisioning Intelligent Cities. Mobile Technologies and Applications for Intelligent Cities. The Role and Relevance of Software-Defined Cloud Infrastructures. Big Data Analytics for Real-Time City Insights. The Internet of Things for Connected and Cognitive Cities. Social Media Analytics for People Empowerment. Intelligent Cities: Strategy-Making and Governance. Smart Homes and Buildings. Smart Energy, Utility, and Transport. Intelligent Airports. Next-Generation Healthcare Systems. Security Management of Intelligent Cities.

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Book SynopsisSince the invention of computers and other similar machines, scientists and researchers have been trying very hard to enhance their capabilities to perform various tasks. As a result, the capabilities of computers are growing exponentially day by day in terms of diverse working domains, versatile jobs, processing speed, and reduced size. Now, we are in the race to make these machines as intelligent as human beings. Artificial intelligence (AI) came up as a way of making a computer or computer software think in a similar manner to the way that humans think. AI is inspired by the study of human brain, including how humans think, learn, decide, and act while trying to solve a problem. The outcomes of this study are the basis of developing intelligent software and systems or intelligent computing (IC). An IC system has the capabilities of reasoning, learning, problem-solving, perception, and linguistic intelligence. IC systems consist of AI techniques as well as other emerging techniques that make a system intelligent. The use of IC has been seen in almost every sub-domain of computer science such as networking, software engineering, gaming, natural language processing, computer vision, image processing, data science, robotics, expert systems, and security. Nowadays, IC is also useful for solving various complex problems in diverse domains such as for predicting disease in medical science, predicting land fertility or crop productivity in agricultural science, predicting market growth in economics, and weather forecasting. For all these reasons, this book presents the advances in AI techniques, under the umbrella of IC. In this context, the book includes recent research that has been done in the areas of machine learning, neural networks, deep learning, evolutionary algorithms, genetic algorithms, swarm intelligence, fuzzy systems, and so on. This book discusses recent theoretical, algorithmic, simulation, and implementation-based advancements related to IC.

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Book SynopsisIn the digital age, where web applications form the crux of our interconnected existence, Web Hacking Arsenal: A Practical Guide To Modern Web Pentesting emerges as an essential guide to mastering the art and science of web application pentesting. This book, penned by an expert in the field, ventures beyond traditional approaches, offering a unique blend of real-world penetration testing insights and comprehensive research. It''s designed to bridge the critical knowledge gaps in cybersecurity, equipping readers with both theoretical understanding and practical skills. What sets this book apart is its focus on real-life challenges encountered in the field, moving beyond simulated scenarios to provide insights into real-world scenarios.The core of Web Hacking Arsenal is its ability to adapt to the evolving nature of web security threats. It prepares the reader not just for the challenges of today but also for the unforeseen complexities of the future. This

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Book SynopsisDeveloped by the leading scientists in the field, Designing for Situation Awareness: An Approach to User-Centered Design, Third Edition offers a systematic and successful methodology for supporting the situation awareness (SA) of individuals and teams who work in complex and demanding environments.Newly updated to reflect the latest research on SA, this new edition provides needed background on common SA challenges, the cognitive processes people use to form and maintain SA, and the agile design processes that the SA-Oriented Design processes can compliment. The chapters feature detailed examples of SA-Oriented Design focused on SA in driving, SA in healthcare, SA in command and control, SA in unmanned and remotely operated vehicles, and SA with augmented reality. It also includes 60 detailed design principles for engineers and designers who want to improve the SA provided by their systems based on leading research in the field, as well as 12 principles and proven approaches for developing effective SA training. Design principles focus on supporting peopleâs SA processes and dealing with common SA challenges, supporting an understanding of information certainty, dealing with complexity and alarms, and the effects of automation and AI on SA, as well as supporting the unique SA needs of teams.This book will appeal to any engineer, human factors practitioner, system designer, or other professional interested in situation awareness. It will be highly pertinent to aviation engineers, military engineers, intelligence professionals, emergency management personnel, medical practitioners, air traffic controllers, automobile engineers, financial and business management workers, and power and process control room staff.

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Book SynopsisoneAPI is a unified programming model and software development kit (SDK) from Intel that empowers software developers to generate high-performance applications that can run on different devices, comprising CPUs, GPUs, FPGAs, and other accelerators. It lets developers write code once and deploy it on multiple architectures, decreasing the complexity as well as the cost and time of software development. One of the significant strengths of oneAPI is in its capability to support an eclectic range of devices and architectures, including artificial intelligence, high-performance computing, and data analytics. Along with libraries, tools, and compilers, oneAPI makes it cool for developers to create optimized code for an extensive variety of applications, making it an indispensable tool for any developer who wants to create high-performance software and reap the benefit of the latest hardware technologies. The versatility of oneAPI, by means of appropriate theory and practical implementatioTable of ContentsChapter 1 Intel oneAPI: An Introductory DiscussionChapter 2 The Intel oneAPI Toolkits: An Exploration Chapter 3 The Intel DevCloud and Jupyter Notebooks Chapter 4 What Is Machine Learning?: An Introduction! Chapter 5 Tools and Pre-requisites Chapter 6 Supervised Learning Chapter 7 Support Vector Machines (SVM): An Exploration Chapter 8 Decision Trees Chapter 9 Bagging Chapter 10 Boosting and Stacking Chapter 11 Clustering Techniques and Principial Component Analysis Chapter 12 More Intel Tools for Enhanced Developm ent Experience

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Book SynopsisDiscover the hidden depths of the digital underworld in this comprehensive, interdisciplinary exploration of the dark web.Ideal for security agencies, professionals, counter-terrorism experts, and policymakers alike, this work offers invaluable insights that will enhance understanding and fortify strategies. By shedding particular light on the nuances of the dark market,' this book provides readers with a detailed understanding of the dark web, encompassing both its sinister underbelly and unexpected potential.This book also uncovers the latest trends and cutting-edge mitigation techniques. From illicit transactions to thriving business ventures, it examines the key domains and sectors that thrive within this clandestine environment. This book consolidates myriad perspectives on security and threats on the dark web.Table of Contents1. Cybersecurity and The Dark Web. 2. A Guide to The Dark and Deep Web. 3. Dark Web Access with TOR Browser. 4. The Dark Web's Perils. 5. Cybercrime on The Dark Web. 6. Red Room Deep Web. 7. Terrorist Acts on The Surface and Dark Web. 8. Dark Web Markets. 9. We Are Anonymous. 10. Hitman for Hire. 11. The Positive and Evil Side of The Dark Web. 12. Techniques for Analyzing Dark Web Content. 13. Information Extraction from Dark Web Contents and Logs. 14. Dark Web Forensics. 15. OSINT Opensource Intelligence. 16. Emerging Dark Web Trends and Mitigation Techniques. 17. The Dark Web's Future. 18. Your Business on The Dark Web. Glossary. Bibliography.

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Book SynopsisThe second in a new series exploring the basics of Raspberry Pi Operating System administration, this installment builds on the insights provided in Volume 1 to provide a compendium of easy-to-use and essential Raspberry Pi OS system administration for the novice user, with specific focus on Python and Python3.The overriding idea behind system administration of a modern, 21st-century Linux system such as the Raspberry Pi OS is the use of systemd to ensure that the Linux kernel works efficiently and effectively to provide these three foundation stones of computer operation and management: computer system concurrency, virtualization, and secure persistence. Exercises are included throughout to reinforce the readers' learning goals with solutions and example code provided on the accompanying GitHub site.This book is aimed at students and practitioners looking to maximize their use of the Raspberry Pi OS. With plenty of practical examples, projects, and exercises, this volTable of ContentsSeries Preface. Volume 2 Preface. 0. "Quick Start" into Sysadmin for the Raspberry Pi OS. 1. Raspberry Pi OS System Administration Fundamentals. 2. Python3. Questions, Problems, and Projects. Index.

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Book SynopsisCyber CISO Marksmanship is the only book of its kind authored by multiple highly experienced individuals to collectively bring together the best of the best on what works and what doesnât, as a CISO, in a unique storytelling format. This book is designed for a Chief Information Security Officer (CISO) or an individual seeking this role and also has value to other types of cyber leaders. Knowledge and understanding of traditional books can only get you so far â Cyber CISO Marksmanship has powerful perspectives, real-world accounts, and insights you wonât find anywhere else!Key features included with Cyber CISO Marksmanship: Over a century of CISO experience is represented by the authors of this book Unique storytelling format based upon real-world accounts from leading CISOs Sharpshooter perspectives from multiple CISOs for each story Bottom Line Up Front (BLUF) for quick referenc

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Book SynopsisThis book explores the applications and advancements of Federated Learning across diverse sectors, focusing on its integration with cutting-edge technologies like IoT, AI, Blockchain, and Digital Twins. Real-world examples and case studies illustrate Federated Learningâs role in healthcare, smart cities, and maritime applications while addressing critical concerns such as security. It provides insights into Federated Learning's transformative potential, offering practical strategies for intelligent systems and sustainable environments. Focuses on the Federated Learning-based Model Optimization, addressing the significance of IoT and Federated Learning in the evolution of intelligent systems for various applications Describes the different optimisation techniques of federated learning systems from a practical point of view Highlights economic, social, and environmental impacts of smart technologies and provides insights into IoT, 5G/6G communication, and computing standards Provides analysis of the use cases of federated learning regarding the development of IoT, AI, Blockchain, Digital twins Offers strategies to overcome challenges for overcoming challenges associated with Federated Learning systems, including connectivity, computation, threats, privacy and security issues. It covers fundamental concepts, practical implementations, and trends to serve as a reference resource for professionals and researchers in the field.

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Book SynopsisThis book takes readers on a captivating journey into the transformative role of Artificial Intelligence (AI) and AI of Things (AIoT) technologies in reshaping sustainable urban development. By combining comprehensive theoretical analyses, synthesized empirical evidence, and practical case studies, it offers pioneering interdisciplinary insights and unifying frameworks. The book highlights the synergistic integration of Urban Brain (UB), Urban Digital Twin (UDT), Smart Urban Metabolism (SUM), and platform urbanism, underscored by their collaborative potential to revolutionize the environmental management, planning, and governance of smarter ecoâcities and sustainable smart cities. It leverages cuttingâedge technologies and dataâdriven approaches to optimize urban systems, resource efficiency, and resilience. This approach provides a holistic understanding of the rapidly evolving landscape of AIâ and AIoTâdriven sustainable urban development.Targeting a broad and diverse audie

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