Systems analysis and design Books

Book SynopsisReal-time systems are used in a wide range of applications, including control, sensing, multimedia, etc. Scheduling is a central problem for these computing/communication systems since it is responsible for software execution in a timely manner. This book, the second of two volumes on the subject, brings together knowledge on specific topics and discusses the recent advances for some of them. It addresses foundations as well as the latest advances and findings in real-time scheduling, giving comprehensive references to important papers, but the chapters are short and not overloaded with confusing details. Coverage includes scheduling approaches for networks and for energy autonomous systems. Other sophisticated issues, such as feedback control scheduling and probabilistic scheduling, are also addressed. This book can serve as a textbook for courses on the topic in bachelor's degrees and in more advanced master's degree programs. It also provides a reference for computer scientists and engineers involved in the design or the development of Cyber-Physical Systems which require up-to-date real-time scheduling solutions.Table of ContentsPREFACE xi LIST OF FIGURES xv LIST OF TABLES xix CHAPTER 1. SCHEDULING IN ENERGY AUTONOMOUS OBJECTS 1Maryline CHETTO CHAPTER 2. PROBABILISTIC SCHEDULING 29Liliana CUCU-GROSJEAN, Adriana GOGONEL and Dorin MAXIM CHAPTER 3. CONTROL AND SCHEDULING JOINT DESIGN 53Daniel SIMON, Ye-Qiong SONG and Olivier SENAME CHAPTER 4. SYNCHRONOUS APPROACH AND SCHEDULING 97Yves SOREL and Dumitru POTOP-BUTUCARU CHAPTER 5. INDUCTIVE APPROACHES FOR PACKET SCHEDULING IN COMMUNICATION NETWORKS 151Malika BOURENANE and Abdelhamid MELLOUK CHAPTER 6. SCHEDULING IN NETWORKS 195Ye-Qiong SONG CHAPTER 7. FOCUS ON AVIONICS NETWORKS 217Jean-Luc SCHARBARG and Christian FRABOUL LIST OF AUTHORS 247 INDEX 249 SUMMARY OF VOLUME 1 251

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Book SynopsisIntelligence is defined by the ability to optimize, manage and reconcile the currents of physical, economic and even social flows. The strong constraint of immediacy proves to be an opportunity to imagine, propose and deliver solutions on the common basis of optimization techniques. Metaheuristics for Intelligent Electrical Networks analyzes the use of metaheuristics through independent applications but united by the same methodology.Table of ContentsIntroduction xi Chapter 1 Single Solution Based Metaheuristics 1 1.1 Introduction 1 1.2 The descent method 2 1.3 Simulated annealing 3 1.4 Microcanonical annealing 4 1.5 Tabu search 6 1.6 Pattern search algorithms 6 1.6.1 The GRASP method 7 1.6.2 Variable neighborhood search 8 1.6.3 Guided local search 10 1.6.4 Iterated local search 11 1.7 Other methods 12 1.7.1 The Nelder–Mead simplex method 13 1.7.2 The noising method 14 1.7.3 Smoothing methods 15 1.8 Conclusion 16 Chapter 2 Population-based Methods 17 2.1 Introduction 17 2.2 Evolutionary algorithms 18 2.2.1 Genetic algorithms 18 2.2.2 Evolution strategies 20 2.2.3 Coevolutionary algorithms 21 2.2.4 Cultural algorithms 21 2.2.5 Differential evolution 23 2.2.6 Biogeography-based optimization 25 2.2.7 Hybrid metaheuristic based on Bayesian estimation 27 2.3 Swarm intelligence 29 2.3.1 Particle Swarm Optimization 29 2.3.2 Ant colony optimization 32 2.3.3 Cuckoo search 35 2.3.4 The firefly algorithm 36 2.3.5 The fireworks algorithm 38 2.4 Conclusion 42 Chapter 3 Performance Evaluation of Metaheuristics 43 3.1 Introduction 43 3.2 Performance measures 44 3.2.1 Quality of solutions 44 3.2.2 Computational effort 45 3.2.3 Robustness 46 3.3 Statistical analysis 46 3.3.1 Data description 47 3.3.2 Statistical tests 48 3.4 Literature benchmarks 49 3.4.1 Characteristics of a test function 49 3.4.2 Test functions 50 3.5 Conclusion 58 Chapter 4 Metaheuristics for FACTS Placement and Sizing 59 4.1 Introduction 59 4.2 FACTS devices 61 4.2.1 The SVC 62 4.2.2 The STATCOM 63 4.2.3 The TCSC 63 4.2.4 The UPFC 63 4.3 The PF model and its solution 64 4.3.1 The PF model 64 4.3.2 Solution of the network equations 66 4.3.3 FACTS implementation and network modification 69 4.3.4 Formulation of FACTS placement problem as an optimization issue 69 4.4 PSO for FACTS placement 72 4.4.1 Solutions coding 73 4.4.2 Binary particle swarm optimization 75 4.4.3 Proposed Lévy-based hybrid PSO algorithm 82 4.4.4 “Hybridization” of continuous and discrete PSO algorithms for application to the positioning and sizing of FACTS 99 4.5 Application to the placement and sizing of two FACTS 100 4.5.1 Application to the 30-node IEEE network 103 4.5.2 Application to the IEEE 57-node network 104 4.5.3. Significance of the modified velocity likelihoods method 109 4.5.4 Influence of the upper and lower bounds on the velocity Vciof particles ci 111 4.5.5 Optimization of the placement of several FACTS of different types (general case) 115 4.6 Conclusion 118 Chapter 5 Genetic Algorithm-based Wind Farm Topology Optimization 121 5.1 Introduction 121 5.2 Problem statement 122 5.2.1 Context 122 5.2.2 Calculation of power flow in wind turbine connection cables 125 5.3 Genetic algorithms and adaptation to our problem 129 5.3.1 Solution encoding 129 5.3.2 Selection operator 131 5.3.3 Crossover 132 5.3.4 Mutation 135 5.4 Application 137 5.4.1 Application to farms of 15–20 wind turbines 140 5.4.2 Application to a farm of 30 wind turbines 140 5.4.3 Solution of a farm of 30 turbines proposed by human expertise 144 5.4.4 Validation 145 5.5 Conclusion 145 Chapter 6 Topological Study of Electrical Networks 149 6.1 Introduction 149 6.2 Topological study of networks 150 6.2.1 Random graphs 151 6.2.2 Generalized random graphs 151 6.2.3 Small-world networks 152 6.2.4 Scale-free networks 152 6.2.5 Some results inspired by the theory of percolation 153 6.2.6 Network dynamic robustness 160 6.3 Topological analysis of the Colombian electrical network 161 6.3.1 Phenomenological characteristics 161 6.3.2 Fractal dimension 169 6.3.3 Network robustness 179 6.4 Conclusion 182 Chapter 7. Parameter Estimation of α-Stable Distributions 183 7.1 Introduction 183 7.2 Lévy probability distribution 184 7.2.1 Definitions 184 7.2.2 McCulloch α-stable distribution generator 189 7.3 Elaboration of our non-parametric α-stable distribution estimator 191 7.3.1 Statistical tests 192 7.3.2 Identification of the optimization problem and design of the non-parametric estimator 195 7.4 Results and comparison with benchmarks 197 7.4.1 Validation with benchmarks 197 7.4.2 Parallelization of the process on a GP/GPU card 211 7.5 Conclusion 220 Chapter 8 SmartGrid and MicroGrid Perspectives 221 8.1 New SmartGrid concepts 221 8.2 Key elements for SmartGrid deployment 224 8.2.1 Improvement of network resilience in the face of catastrophic climate events 225 8.2.2 Increasing electrical network efficiency 227 8.2.3 Integration of the variability of renewable energy sources 229 8.3 SmartGrids and components technology architecture 231 8.3.1 Global SmartGrid architecture 231 8.3.2 Basic technological elements for SmartGrids 232 8.3.3 Integration of new MicroGrid layers: definition 235 Appendix 1 241 Appendix 2 245 Bibliography 251 Index 265

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Book SynopsisThis book is dedicated to metaheuristics as applied to vehicle routing problems. Several implementations are given as illustrative examples, along with applications to several typical vehicle routing problems. As a first step, a general presentation intends to make the reader more familiar with the related field of logistics and combinatorial optimization. This preamble is completed with a description of significant heuristic methods classically used to provide feasible solutions quickly, and local improvement moves widely used to search for enhanced solutions. The overview of these fundamentals allows appreciating the core of the work devoted to an analysis of metaheuristic methods for vehicle routing problems. Those methods are exposed according to their feature of working either on a sequence of single solutions, or on a set of solutions, or even by hybridizing metaheuristic approaches with others kind of methods.Table of ContentsNotations and Abbreviations ix Introduction xiii Chapter 1. General Presentation of Vehicle Routing Problems 1 1.1. Logistics management and combinatorial optimization 1 1.1.1. History of logistics 2 1.1.2. Logistics as a science 5 1.1.3. Combinatorial optimization 5 1.2. Vehicle routing problems 6 1.2.1. Problems in transportation optimization 6 1.2.2. Vehicle routing problems in other contexts 7 1.2.3. Characteristics of vehicle routing problems 7 1.2.4. The capacitated vehicle routing problem 11 1.3. Conclusion 13 Chapter 2. Simple Heuristics and Local Search Procedures 15 2.1. Simple heuristics 16 2.1.1. Constructive heuristics 16 2.1.2. Two-phase methods 19 2.1.3. Best-of approach and randomization 22 2.2. Local search 23 2.2.1. Principle 23 2.2.2. Classical moves 24 2.2.3. Feasibility tests 25 2.2.4. General approach from Vidal et al 28 2.2.5. Multiple neighborhoods 30 2.2.6. Very constrained problems 33 2.2.7. Acceleration techniques 33 2.2.8. Complex moves 36 2.3. Conclusion 37 Chapter 3. Metaheuristics Generating a Sequence of Solutions 39 3.1. Simulated annealing (SA) 39 3.1.1. Principle 39 3.1.2. Simulated annealing in vehicle routing problems 40 3.2. Greedy randomized adaptive search procedure: GRASP 41 3.2.1. Principle 41 3.2.2. GRASP in vehicle routing problems 43 3.3. Tabu search 44 3.3.1. Principle 44 3.3.2. Tabu search in vehicle routing problems 45 3.4. Variable neighborhood search 47 3.4.1. Principle 47 3.4.2. Variable neighborhood search in vehicle routing problems 49 3.5. Iterated local search 50 3.5.1. Principle 50 3.5.2. Iterated local search in vehicle routing problems 52 3.6. Guided local search 54 3.6.1. Principle 54 3.6.2. Guided local search in vehicle routing problems 55 3.7. Large neighborhood search 56 3.7.1. Principle 56 3.7.2. Large neighborhood search in vehicle routing problems 58 3.8. Transitional forms 59 3.8.1. Evolutionary local search principle 59 3.8.2. Application to vehicle routing problems 60 3.9. Selected examples 61 3.9.1. GRASP for the location-routing problem 61 3.9.2. Granular tabu search for the CVRP 65 3.9.3. Adaptive large neighborhood search for the pickup and delivery problem with time windows 69 3.10. Conclusion 74 Chapter 4. Metaheuristics Based on a Set of Solutions 77 4.1. Genetic algorithm and its variants 77 4.1.1. Genetic algorithm 77 4.1.2. Memetic algorithm 79 4.1.3. Memetic algorithm with population management 79 4.1.4. Genetic algorithm and its variants in vehicle routing problems 80 4.2. Scatter search 82 4.2.1. Scatter search principle 82 4.2.2. Scatter search in vehicle routing problems 83 4.3. Path relinking 83 4.3.1. Principle 84 4.3.2. Path relinking in vehicle routing problems 85 4.4. Ant colony optimization 86 4.4.1. Principle 86 4.4.2. ACO in vehicle routing problems 89 4.5. Particle swarm optimization 89 4.5.1. Principle 89 4.5.2. PSO in vehicle routing problems 90 4.6. Other approaches and their use in vehicle routing problems 91 4.7. Selected examples 92 4.7.1. Scatter search for the periodic capacitated arc routing problem 92 4.7.2. PR for the muti-depot periodic VRP 97 4.7.3. Unified genetic algorithm for a wide class of vehicle routing problems 101 4.8. Conclusion 106 Chapter 5. Metaheuristics Hybridizing Various Components 109 5.1. Hybridizing metaheuristics 109 5.1.1. Principle 110 5.1.2. Application to vehicle routing problems 111 5.1.3. Selected examples 112 5.2. Matheuristics 122 5.2.1. Principle 123 5.2.2. Application to vehicle routing problems 124 5.2.3. Selected examples 128 5.3. Conclusion 144 Conclusion 145 Bibliography 149 Index 167

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Book SynopsisThe 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.Table of ContentsIntroduction ix Part 1. Theoretical Foundation for Dealing with Action Selection and Memorization 1 Chapter 1. A Unified Theory of Action Selection and Memory 3 1.1. Organic self-consistent field theory 3 1.1.1. Self-consistent field theory in physics 3 1.1.2. “Organic” SCFT 4 1.1.3. Human beings considered in O-SCFT 4 1.1.4. Scale mix 5 1.2. Development of brain architecture model under the NDHBmodel/RT 6 1.2.1. O-PDP 6 1.2.2. The guideline for architecture selection 6 1.2.3. Development of cross-networks of neurons in the brain 7 Chapter 2. NDHB-Model/RT: Nonlinear Dynamic Human Behavior Model with Realtime Constraints 11 2.1. Maximum satisfaction architecture 11 2.1.1. Happiness goals 11 2.1.2. Society layers 12 2.1.3. Brain layers 12 2.1.4. Conditions to make people feel satisfaction 15 2.2. Brain information hydrodynamics 16 2.2.1. The time axis is central to information flow 17 2.2.2. Cerebrum formation process 17 2.2.3. Information flows in the brain 19 2.2.4. Emergence of emotion in BIH 20 2.2.5. Biorhythm of information flow 21 2.2.6. Role of language 21 2.2.7. Multiple personality disorder 21 2.3. Structured meme theory 22 2.3.1. Meme 22 2.3.2. Memes propagate by means of resonance 23 2.3.3. Characteristics of meme propagation 24 2.4. NDHB-model/RT 25 2.5. MHP/RT: Model human processor with real-time constraints 27 2.5.1. MHP/RT’s basic flow 28 2.5.2. Basic MHP/RT behaviors 30 2.6. Two Minds and emotions 36 2.6.1. Dynamics of consciousness–emotion interaction: an explanation by MHP/RT 37 2.6.2. Taxonomy of emotions: behavioral perspective 40 Chapter 3. Layered-structure of Memory and its Development 43 3.1. MHP/RT modules and their associated memories 43 3.1.1. Memory formation process 45 3.1.2. MD memory frames 46 3.1.3. Memory functions via resonance 49 3.1.4. Memory operates in pipelining 49 3.2. Hierarchical structure of human action selection 51 3.2.1. Three-layered structure of interneurons system 51 3.2.2. Formation process 51 3.3. Emotion initiation via memory processes 54 Chapter 4. Implication for Human–Machine Interaction: Autonomous System Interaction Design (ASID) based on NDHB-Model/RT 57 4.1. Users modeled by MHP/RT with MD memory frames 57 4.2. Autonomous systems versus linear systems 58 4.2.1. Linear systems 58 4.2.2. Autonomous systems 60 4.3. Needs that a society of information systems must meet 60 4.4. Outline of ASI 61 4.5. Conclusions 62 Part 2. Theoretically Motivated Methodology for Understanding Users 65 Chapter 5. Cognitive Chrono-ethnography 67 5.1. Understanding people’s behavior in real life 67 5.2. Cognitive chrono-ethnography 69 5.2.1. Requirements for the methodology (CCE) to study human beings’ behavior in real life 69 5.2.2. CCE procedure 70 5.2.3. Behavior selection shaping factors 72 Chapter 6. A CCE Study: Slow Self-paced Navigation 75 6.1. Introduction: navigation in a train station by following signs 75 6.2. Steps 1 and 2 of CCE 76 6.2.1. Attention, planning and working memory 77 6.2.2. An MHP/RT simulation of navigation behavior 78 6.3. Step 3 of CCE: monitor recruiting 82 6.3.1. Investigation of cognitive aging characteristics 82 6.4. Steps 4 and 5 of CCE: monitor behavior observation and individual model construction 83 6.4.1. Train stations, tasks and participants 84 6.4.2. Method 85 6.5. Step 6 of CCE: socioecological model construction 86 6.6. Discussion 87 6.6.1. Two modes of navigation 87 6.6.2. Web navigation 88 6.6.3. Nature of complicated navigation processes 90 6.7. Conclusions 90 Chapter 7. Fast Externally-paced Navigation 93 7.1. Introduction 93 7.2. Steps 1 and 2 of CCE 95 7.2.1. Designing a CCE study 96 7.3. Step 3 of CCE: monitor recruiting 98 7.3.1. Screening 99 7.3.2. Interview for the final selection 100 7.4. Steps 4 and 5 of CCE: monitor behavior observation and individual model construction 100 7.4.1. Data analysis 100 7.4.2. Information necessary for safe and enjoyable driving 102 7.4.3. Examples 103 7.5. Conclusions 105 Chapter 8. Designing for Future Needs 109 8.1. Introduction 109 8.2. Making inaccessible future needs accessible: t-translation invariant principle 110 8.3. A case study of CCE: why do fans repeat visits to the ballpark? 112 8.3.1. Steps 1 and 2 of CCE 112 8.3.2. Step 3 of CCE: monitor recruiting 115 8.3.3. Step 4 of CCE: field observation 115 8.3.4. Step 5 of CCE: conduct retrospective interviews 116 8.3.5. Step 6 of CCE: socioecological model construction 117 8.3.6. Results: developing from a pre-fan to a repeater 120 8.4. Discussion 122 8.4.1. Selection of elite monitors 122 8.4.2. CCE interview 122 8.4.3. Applicability of CCE 123 8.5. Conclusions 124 Conclusion 127 Bibliography 133 Index 137

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Book SynopsisThis insightful book examines the influence of information systems on anti-money laundering (AML). It builds on systems theory in order to develop a coherent theoretical framework that can be used for AML research.By using a case study of a major financial institution in the EU-area, a number of technological influences on AML are deconstructed and are used to examine the role that technology plays within AML. The book provides a systems theoretical description of the effects of technology on AML and offers considerations on the risk-based approach - the most important contemporary evolution within regulatory initiatives on AML and terrorism financing. Technology and Anti-Money Laundering will appeal to researchers of financial crime and AML as well as those interested in information systems and systems theory. A number of considerations for practitioners are also discussed, including the risk-based approach and the integration of AML-technology in financial institutions, as well as an important data-mining application. Money Laundering Reporting Officers (MLROs) in financial institutions and central bankers will also find much of interest in this book.Trade Review‘. . . a stimulating look at the hard work done in many specialisms that collectively seek to combat money laundering.’ -- Sally Ramage, The Criminal Lawyer‘While there is much noise about the control of money laundering, there are few whose work is able to rise above the din and in clear notes contribute in a constructive manner to the debate. This work is not only an intelligent discussion of many of the substantive issues relating to the control of money laundering, but a great deal more. Drawing on systems theory and seeing the control of money laundering particularly from the standpoint of technology as complex and integral to the proper and effective operation of financial institutions, the author addresses in a novel and practical way the design and management of risk based compliance. The theory is tested, not only in terms of viable technology, but also in an actual case study involving real issues in a bank. Consequently, those concerned with the formulation of policy, the design of controls and procedures and the implementation of such will find the contribution that this book makes of great significance.’ -- Barry Rider, Bryan Cave LLP, UK‘This book avoids the usual trap of interminably listing AML war stories. Instead Dr. Demetis presents a solid theoretical foundation for AML research and practice. He gives a damning critique of the way so-called technological solutions are used uncritically by some AML professionals, and analyses the risk-based approach, describing its problems and ways of avoiding them. He presents a fascinating in-depth case study of a financial institution, and a short case of a bank using technology to improve its True Positive Rate substantially to 17 per cent.’ -- Ian Angell, London School of Economics, UK‘Dr Demetis makes a great contribution to our understanding of anti-money laundering at both a systems and practical level. [He] writes as someone who not only thinks deeply about these issues but, as the in-depth case examples show, has tried to see how far technology can address some audacious goals. Readers will learn that while risk-based approaches to anti-money laundering have been an interesting regulatory development, practical implementation, despite the hype of technology vendors, is “still at a primordial state”.’ -- Michael Mainelli, Gresham College and Z/YEN Group, UKTable of ContentsContents: Preface 1. Introduction 2. Introduction to Anti-Money Laundering 3. On Systems Theory 4. The Case Study of Drosia Bank 5. Systems Theory – A Theory for AML 6. The Risk-based Approach and a Risk-based Data-mining Application References Index

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Book SynopsisModel-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. The Model Driven Architecture (MDA) initiative of the Object Management Group (OMG) is concerned with the development of standards and technologies that enable and support model-based system development. The aim of this book is to provide the information needed to understand and apply MDE (including 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.Table of Contents1. Model engineering: from principles to platforms - Jean Bezivin; 2. Model-driven development of distributed real-time and embedded systems - Douglas C. Schmidt; 3. About model-transformations: QVT vs. OCL vs.... - Pierre-Alain Muller; 4. Separating dependability and technology-specific concerns using aspect-oriented modelling techniques - Robert France; 5. Model-driven systems engineering: SysML & the MDSysE approach at THALES - Veronique Normand and Daniel Exertier; 6. Maturity of model driven engineering for embedded control systems from a mechatronic perspective - Martin Torngren; 7. Real time components and contracts - Jean-Marc Jezequel; 8. The THINK component-based operating system - Jean-Philippe Fassino; 9. Model-driven schedulability analysis - Jean-Philippe Babau and Sebastien Gerard; 10. Performance analysis based on the UML SPT profile - Dorina C. Petriu; 11. Embedded code generation - Ivan Porres; 12 - Model-driven architecture for intensive embedded systems - Lossan Bonde, Pierre Boulet, Arnaud Cuccuru, Jean-Luc Dekeyser, Cedric Dumoulin, Philippe Marquet and Michael Samyn; 13. Spidergon: a NoC modeling paradigm - Marcello Coppola.

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Book SynopsisFundamentals of Technical Graphics concentrates on the main concepts and principles of technical graphics. The book is divided into two volumes: volume one contains chapters one to five, whereas volume two comprises of chapters six to ten. Volume one covers the topics of drafting guidelines, free hand sketching, computer design drafting (CDD) systems, geometric and shape construction, and standard multiview drawing creation. Volume two treats the topics of auxiliary views, section views, basic dimensioning, isometric drawings, and working drawings. The appendices provide introductory discussions about screw fasteners, general and geometric tolerancing, and surface quality and symbols. The book is written with current drafting standards of American National Standards Institute/American Society for Mechanical Engineers (ANSI/ASME) in mind. The style is plain and discussions are straight to the point. Its principle goal is meeting the needs of first- and second-year students in engineering, engineering technology, design technology, and related disciplines.

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Book SynopsisThis book constitutes the refereed proceedings of the 22nd International Conference on Innovations for Community Services, I4CS 2022, held in Delft, The Netherlands, in June 2022. The 15 full papers and 5 short papers presented in this volume were carefully reviewed and selected from 43 submissions. Three invited papers were also included in the volume. The papers focus on topics such as services for critical infrastructure; network architecture for communities; applications and services supporting work and life; community data and visualization; technology empowers industry processes; and future community support.Table of ContentsInvited Papers.- Energy Harvesting and Environment Protection.- Applied Security and Privacy.- eHealth and Infrastructure.- Smart Mobility and Routing.- Smart Cities and Standardization.- Applied Machine Learning.- Quantum Computing.

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Book SynopsisThis book, AICON 2022, constitutes the post-conference proceedings of the 4th EAI International Conference on Artificial Intelligence for Communications and Networks, AICON 2022, held in Hiroshima, Japan, in November 30- December 1, 2022. The 9 full papers and 4 short papers were carefully reviewed and selected from 36 submissions. The papers detail research in the areas of AI and communication systems related to intelligent systems and computational intelligence for communication and networks. They are organized in topical sections on AI and networks; machine learning; and evolutionary computation.Table of ContentsAI and Networks.- Cost-aware Node Ranking Algorithm for Embedding Virtual Networks in Internet of Vehicles.- Fault Diameter of Strong Product Graph of Two Paths.- Design and Implementation of SF Selection Based on Distance and SNR using Autonomous Distributed Reinforcement Learning in LoRa Networks.- Machine Learning.- QBRT: Bias and Rising Threshold Algorithm with Q-Learning.- A Study on Effectiveness of BERT Models and Task[1]Conditioned Reasoning Strategy for Medical Visual Question Answering.- Inspired human cognitive bias robust Neural Networks against Adversarial attacks.- Efficient estimation of cows’ location using machine learning from sensor data, farm management, cow location.- A Time Series Forecasting Method using DBN and Adam Optimization.- Unity-Bounded Function and Benchmark Design Specifications Targeted for Designing Typical Variable Digital Filters.- Evolutionary Computation.- Proposal and evaluation of a course classification support system emphasizing communication with the sub-committees within the Committee of Validation and Examination for Degrees.- A Research of Infectivity Rate of Seasonal Influenza from Pre-Infectious person for Data Driven Simulation Saori Iwanaga.- Creating Trust within Population in an Uncertain Environment using Blockchain.- Efficient Inductive Logic Programming Based on Particle Swarm Optimization.

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Book SynopsisThis book constitutes the refereed workshop proceedings of the 11th International Workshop on Structured Object-Oriented Formal Language and Method, SOFL+MSVL 2022, held in Madrid, in October 2022.The 12 revised full papers included in the volume were carefully reviewed and selected from 26 submissions. They are organized in the following topical sections: Model Checking & Markov Decision Process; Model Analysis & Tool Implementation; Formal Specification & Testing; Algorithms & Verification. .Table of ContentsModel Checking & Markov Decision Process.- Formal Derivation and Verification of Critical Path Algorithm for Directed Acyclic Graph.- An Approach of Transforming Non-Markovian Reward to Markovian Reward.- A JPSL based Model Checking Approach for Java Programs.- Model Analysis & Tool Implementation.- Implementation of Matlab matfun Toolkit Based on MSVL.- Extending Visibly Pushdown Automata over Multi-matching Nested Relations.- Schedulability analysis of rate-monotonic algorithm on concurrent execution of digraph real-time tasks.- Formal Specification & Testing.- Formalization of natural language into PPTL specification via neural machine translation.- Testing Program Segments to Detect Runtime Exceptions in Java.- Inferring Exact Domains to Efficiently Generate Valid Test Cases via Testing.- Algorithms & Verification.- Testing and Verifying the security of COVID-19 CT Images Deep Learning System with Adversarial Attack.- Verifying and improving neural networks using testing-based formal verification.- Alternating Projection Temporal Epistemic Logic.

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Book SynopsisThis book constitutes the refereed proceedings of the 13th International Conference on Algorithms and Complexity, CIAC 2023, which took place in Larnaca, Cyprus, during June 13–16, 2023. The 25 full papers included in this book were carefully reviewed and selected from 49 submissions. They cover all important areas of research on algorithms and complexity such as algorithm design and analysis; sequential, parallel and distributed algorithms; data structures; computational and structural complexity; lower bounds and limitations of algorithms; randomized and approximation algorithms; parameterized algorithms and parameterized complexity classes; smoothed analysis of algorithms; alternatives to the worst-case analysis of algorithms (e.g., algorithms with predictions), on-line computation and competitive analysis, streaming algorithms, quantum algorithms and complexity, algorithms in algebra, geometry, number theory and combinatorics, computational geometry, algorithmic game theory and mechanism design, algorithmic economics (including auctions and contests), computational learning theory, computational biology and bioinformatics, algorithmic issues in communication networks, algorithms for discrete optimization (including convex optimization) and algorithm engineering.Table of ContentsUnifying Gathering Strategies for Swarms of Mobile Robots.- The Complexity of Secure RAMs.- Selected Combinatorial Problems Through the Prism of Random Intersection Graphs Models.- The power of the Binary Value Principle.- Independent Set under a Change Constraint from an Initial Solution.- Asynchronous Fully-Decentralized SGD in the Cluster-Based Model.- Non-Crossing Shortest Paths Lengths in Planar Graphs in Linear Time.- How Vulnerable is an Undirected Planar Graph with respect to Max Flow.- Maximum Flows in Parametric Graph Templates.- Dynamic Coloring on Restricted Graph Classes.- Enumeration of Minimal Tropical Connected Sets.- Dynamic Flows with Time-Dependent Capacities.- On One-Sided Testing Affine Subspaces.- Stable Scheduling in Transactional Memory.- Parameterizing Path Partitions.- Maintaining Triconnected Components under Node Expansion.- Approximating Power Node-Deletion Problems.- Phase transition in count approximation by Count-Min sketch with conservative updates.- Minimum-link ´ $C$-Oriented Paths Visiting a Sequence of Regions in the Plane.- Grouped Domination Parameterized by Vertex Cover, Twin Cover, and Beyond.- Broadcasting in Split Graphs.- Partitioning Subclasses of Chordal Graphs with Few Deletions.- Complete Decomposition of Symmetric Tensors in Linear Time and Polylogarithmic Precision.- Improved Deterministic Leader Election in Diameter-Two Networks.- Fast Cauchy Sum Algorithms for Polynomial Zeros and Matrix Eigenvalues.- On the Parameterized Complexity of the Structure of Lineal Topologies (Depth-First Spanning Trees) of Finite Graphs: The Number of Leaves.- Efficiently Enumerating All Spanning Trees of a Plane 3-Tree.- Communication-Efficient Distributed Graph Clustering and Sparsification under Duplication Models.

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Book SynopsisThe two-volume set LNCS 14388 and 14389 constitutes the refereed proceedings of the 9th Russian Supercomputing Days International Conference (RuSCDays 2023) held in Moscow, Russia, during September 25-26, 2023.The 44 full papers and 1 short paper presented in these proceedings were carefully reviewed and selected from 104 submissions. The papers have been organized in the following topical sections: supercomputer simulation; distributed computing; and HPC, BigData, AI: algorithms, technologies, evaluation.Table of Contents​Supercomputer Simulation: Application of HPC for Simulation of Sealant Influence on the Aircraft Assembly Process.- Block Algebraic Multigrid Method for Saddle-Point Problems of Various Physics.- Computational Efficiency of Iterative Methods for Solving Inverse Problems of Ultrasound Tomography.- Computer Memory Requirements for Matrix-Forming Approach to Global Stability Analysis of Fluid Flows.- CubicEoS.jl: Extensible, Open-Source Isothermal Phase Equilibrium Calculations for Fluids.- Efficiency and Accuracy of High-performance Calculations of the Electrostatic Energy of Thin Films Atomistic Clusters.- Field-Split Iterative Solver vs Direct One for Quasi-Static Biot Equation.- GPU-Accelerated Matrix Exponent for Solving 1D Time-Dependent Schrodinger Equation.- How to Make Lanczos-Montgomery Fast on Modern Supercomputers?.- Multi-Node GPU-Enabled Pseudo-Spectral Solver for Turbulence Problems.- Multicriteria Optimization of Chemical Reactions Using Interval Analysis. Parallel Scheme for Implementing the Computational Process.- Parallel Numerical Implementation 3D Wave Hydrodynamics and SWAN Models.- Parallel Numerical Simulation of Sonic Log for 3D Heterogeneous TTI Media.- Quantum-Chemical Study of Some Tris(pyrrolo)benzenes and Tris(pyrrolo)-1,3,5-triazines.- Reduced Precision Computations in the SL-AV Global Atmosphere Model.- Scalability of the INM RAS Earth System Model.- Simulation of Free-Surface Fluid Dynamics: Parallelization for GPUs.- Software Package USPARS for Large Sparse Systems of Linear Equations.- Supercomputer Search for Coagulation Factor XIIa Inhibitors in the Chinese National Compound Library.- Supercomputer Technologies for Ultrasound Nondestructive Imaging of Low-contrast Defects in Solids.- The Effect of Data Structuring on the Parallel Efficiency of the HydroBox3D Relativistic Code.- The Efficiency Optimization Study of a Geophysical Code on Manycore Computing Architectures.- Using Parallel Technologies to Calculate Fluid Dynamic Processes in a Fractured-Porous Reservoir Taking into Account Non-Isothermality.

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Book Synopsis.- Research Track..- OCCL-Former: Data Augmentation Driven Occlusion-Aware Inter-Body Parts Relationship Learning for 3D Pose Estimation..-Does Digital Transformation Affect the Financialization of Real Sector Firms?..-Insights Into the High-Quality Development of Agriculture Under the Wave of Digital Economy..- Application and Industry Track..- Empirical Study on User Acceptance and Optimization Strategies of AIGC News..- Enhancing Diamond Grading and Certification Through Blockchain Technology: A Cross-Chain Analysis of EVM-Compatible Platforms..- Framework and Taxonomy of Understanding Metaverse and a Case Study of AI-Driven and Digital Twin-Based Clothing Customization System..- Short Paper Track..- SRv6 Metaverse - Architecture for Virtual Worlds..- AI-Enabled Metaverse for Education: Challenges and Opportunities..- Research on the Application and Countermeasures of Metaverse Technolo

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Book SynopsisPart I Foundations.- 1 Benchmarking Basics.- 2 Review of Basic Probability and Statistics.- 3 Metrics.- 4 Statistical Measurements.- 5 Experimental Design.- 6 Measurement Techniques.- 7 Operational Analysis and Basic Queueing Models.- 8 Workloads.- 9 Standardization.- Part II Applications.- 10 CPU Benchmarks.- 11 Server Energy Efficiency Benchmarks.- 12 Virtualization Benchmarks.- 13 Storage Benchmarks.- 14 PC, Workstation, Graphics, and Network Benchmarks.- 15  Microservice Application Benchmarks.- 16 Machine Learning and Artificial Intelligence.- 17 Scalability of Networks and Systems.- 18 Elasticity of Cloud Platforms.- 19 Performance Isolation.- 20 Resource Demand Estimation.- 21 Software and System Security.

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Book Synopsis.- Supporting Laypeople and Users: Design Approaches, User Perceptions, and Problems..- “I will never pay for this” Perceptions of fairness and factors affecting behaviour on ‘pay-or-ok’ models..- “Abort the login”: Understanding Phishing Susceptibility through Warning Design in the Context of 2FA..- Expert Strategies to Assist Laypeople in Making Decisions and Adopting Privacy-Enhancing Technologies..- Emerging Risks from Upcoming Technologies, Misunderstandings, and Regulatory Derogation..- Interfacing Human Brains: What could go wrong?..- Anonymity-washing..- Simple now, Complex later: The Questionable Efficacy of Diluting GDPR Article 30(5)..- Professional Methods & Tools for Analysis and Decision Making..- Turning to Online Forums for Legal Information: A Case Study of GDPR’s Legitimate Interests..- Illuminating the DPIA Blackbox – A Survey of Data Protection Impact Assessment Practices in Organisations..- Information Inference Diagrams: Complementing Privacy and Security Analyses Beyond Data Flows.

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Book SynopsisThis research monograph provides the means to learn the theory and practice of graph and network analysis using the Python programming language. The social network analysis techniques, included, will help readers to efficiently analyze social data from Twitter, Facebook, LiveJournal, GitHub and many others at three levels of depth: ego, group, and community. They will be able to analyse militant and revolutionary networks and candidate networks during elections. For instance, they will learn how the Ebola virus spread through communities. Practically, the book is suitable for courses on social network analysis in all disciplines that use social methodology. In the study of social networks, social network analysis makes an interesting interdisciplinary research area, where computer scientists and sociologists bring their competence to a level that will enable them to meet the challenges of this fast-developing field. Computer scientists have the knowledge to parse and process data while sociologists have the experience that is required for efficient data editing and interpretation. Social network analysis has successfully been applied in different fields such as health, cyber security, business, animal social networks, information retrieval, and communications. Table of ContentsTheoretical Concepts of Network Analysis.- Network Basics.- Graph Theory.- Social Networks.- Node-Level Analysis.- Group-Level Analysis.- Network-Level Analysis.- Information Diffusion in Social Networks.- Appendix A: Python Tutorial.- Appendix B: NetworkX Tutorial

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Book SynopsisAn Introduction to Fingerprint Presentation Attack Detection.- A Study of Hand-Crafted and Naturally-Learned Features for Fingerprint Presentation Attack Detection.- Optical Coherence Tomography for Fingerprint Presentation Attack Detection.- Interoperability among Capture Devices for Fingerprint Presentation Attacks Detection.- Review of Fingerprint Presentation Attack Detection Competitions.- Introduction to Iris Presentation Attack Detection.- Application of Dynamic Features of the Pupil for Iris Presentation Attack Detection.- Review of Iris Presentation Attack Detection Competitions.- Introduction to Face Presentation Attack Detection.- Recent Advances in Face Presentation Attack Detection.- Recent Progress on Face Anti-Spoofing against 3D Mask Attack.- Challenges of Face Presentation Attack Detection in Real Scenarios.- Remote Blood Pulse Analysis for Face Presentation Attack Detection.- Review of Face Presentation Attack Detection Competitions.- Introduction to Voice Presentatio

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Book SynopsisDer Testprozess.- Grundsätze für Softwaretester.- Testnormen.- Rollen und Verantwortlichkeiten im Testmanagement.- Grundlagen des Testmanagements.- Marktsituation beim Softwaretest.- Testvorbereitung.- Requirements Engineering.- Teststufen.- Testabdeckung und Überdeckungsmaße.- Fehlermanagement.- Testplanung.- Testumgebung.- Testkonzeption.- Kennzahlen zur Bewertung von Tests.- Testvoraussetzungen.- Beschreibung der Testfälle.- Testmethoden.- Testdurchführung.- Testbericht.- Produktiveinführung von Systemen.- Reviews im Testprozess.- Werkzeuge für die Unterstützung des Testmanagements.- Die optimale Testabdeckung.- Testmetriken.- Testautomatisierung.- Offshoring von Tests.- Test von Internet-Anwendungen.- Testen in der Cloud.- Mobile Testing- Agiles Testen.- Geschäftsbasiertes Testmanagement.- TPI Next.- Testumgebungsmanagement.- Testaufwandsschätzung.- Testen ist kein Allheilmittel.- Fazit

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Book SynopsisWith this book, Christopher Kormanyos delivers a highly practical guide to programming real-time embedded microcontroller systems in C++. It is divided into three parts plus several appendices. Part I provides a foundation for real-time C++ by covering language technologies, including object-oriented methods, template programming and optimization. Next, part II presents detailed descriptions of a variety of C++ components that are widely used in microcontroller programming. It details some of C++’s most powerful language elements, such as class types, templates and the STL, to develop components for microcontroller register access, low-level drivers, custom memory management, embedded containers, multitasking, etc. Finally, part III describes mathematical methods and generic utilities that can be employed to solve recurring problems in real-time C++. The appendices include a brief C++ language tutorial, information on the real-time C++ development environment and instructions for building GNU GCC cross-compilers and a microcontroller circuit. For this fourth edition, the most recent specification of C++20 is used throughout the text. Several sections on new C++20 functionality have been added, and various others reworked to reflect changes in the standard. Also several new example projects ranging from introductory to advanced level are included and existing ones extended, and various reader suggestions have been incorporated. Efficiency is always in focus and numerous examples are backed up with runtime measurements and size analyses that quantify the true costs of the code down to the very last byte and microsecond. The target audience of this book mainly consists of students and professionals interested in real-time C++. Readers should be familiar with C or another programming language and will benefit most if they have had some previous experience with microcontroller electronics and the performance and size issues prevalent in embedded systems programming.Table of ContentsPart I: Language Technologies for Real-Time C++.- 1. Getting Started with Real-Time C++.- 2. Working with a Real-Time C++ Program on a Board.- 3. An Easy Jump Start in Real-Time C++.- 4. Object-Oriented Techniques for Microcontrollers.- 5. C++ Templates for Microcontrollers.- 6. Optimized C++ Programming for Microcontrollers.- Part II: Components for Real-Time C++.- 7. Accessing Microcontroller Registers.- 8. The Right Start.- 9. Low-Level Hardware Drivers in C++.- 10. Custom Memory Management.- 11. C++ Multitasking.- Part III: Mathematics and Utilities for Real-Time C++.- 12. Floating-Point Mathematics.- 13. Fixed-Point Mathematics.- 14. High-Performance Digital Filters.- 15. C++ Utilities.- 16. Extending the C++ Standard Library and the STL.- 17. Using C-Language Code in C++.- Additional Reading.

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Book SynopsisIn today’s workplace, computer and cybersecurity professionals must understand both hardware and software to deploy effective security solutions. This book introduces readers to the fundamentals of computer architecture and organization for security, and provides them with both theoretical and practical solutions to design and implement secure computer systems. Offering an in-depth and innovative introduction to modern computer systems and patent-pending technologies in computer security, the text integrates design considerations with hands-on lessons learned to help practitioners design computer systems that are immune from attacks. Studying computer architecture and organization from a security perspective is a new area. There are many books on computer architectures and many others on computer security. However, books introducing computer architecture and organization with security as the main focus are still rare. This book addresses not only how to secure computer components (CPU, Memory, I/O, and network) but also how to secure data and the computer system as a whole. It also incorporates experiences from the author’s recent award-winning teaching and research. The book also introduces the latest technologies, such as trusted computing, RISC-V, QEMU, cache security, virtualization, cloud computing, IoT, and quantum computing, as well as other advanced computing topics into the classroom in order to close the gap in workforce development. The book is chiefly intended for undergraduate and graduate students in computer architecture and computer organization, as well as engineers, researchers, cybersecurity professionals, and middleware designers.Table of Contents

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Book SynopsisThis book comprises the proceedings of the 2nd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2021). This book highlights the high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers included in this volume are peer-reviewed by experts in the related areas. The book will serve as a valuable reference resource for academics and researchers across the globe. Table of ContentsAn effective DNLP optimization method for Economic Load Dispatch Problem.- Multi-Perspective Reasoning Using Adaptive Learning.- Ink Recognition using TDNN and Bi-LSTM.- Sarcasm Detection for Sentiment Analysis : A RNN based approach using Machine Learning.- Statistical analysis of Soil properties using Non-Imaging Spectral data for quantitative analysis of Raver Tehsil.- Building an efficient Heart Disease Prediction system by using clustering techniques.

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Book Synopsis?Cryptanalysis & Quantum Cryptanalysis.- Enhancing the Related-Key Security of PIPO through New Key Schedules.- Distinguisher and Related-Key Attack on HALFLOOP 96.- Revisiting Key Switching Techniques with Applications to Light-Key FHE.- Optimized Quantum Implementation of SEED.- Depth-Optimized Quantum Implementation of ARIA.- Finding Shortest Vector using Quantum NV Sieve on Grover.- Experiments and Resource Analysis of Shor's Factorization Using a Quantum Simulator.- Quantum Circuits for High-Degree and Half Multiplication For Post-Quantum Analysis.- Side Channel Attack.- Extended Attacks on ECDSA with Noisy Multiple Bit Nonce Leakages.- Single Trace Analysis of Comparison Operation based Constant-Time CDT Sampling and Its Countermeasure.- A Lattice Attack on CRYSTALS-Kyber with Correlation Power Analysis.- Side-Channel Analysis on Lattice-Based KEM using Multi-feature Recognition - The Ca

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Book SynopsisThis book comprises the proceedings of the 3rd International Conference on Computer Vision, High-Performance Computing, Smart Devices, and Networks (CHSN 2022). This book highlights high-quality research articles in machine learning, computer vision, and networks. The content of this volume gives the reader an up-to-date picture of the state-of-the-art connection between computational intelligence, machine learning, and IoT. The papers in this volume are peer-reviewed by experts in related areas. The book will serve as a valuable reference resource for academics and researchers across the globe.Table of ContentsAnalysis of Prevalence of Flat Foot in Primary School Children.- The development of advanced deep learning-based EoR Signal separation techniques.- An Integrated Deep Learning Deepfakes Detection Method (IDL-DDM).- Melanoma Detection Using Convolutional Neural Networks.- Reinforcement Learning Based Spectrum Sensing And Resource Allocation In WSN-IoT Smart Applications.- Planning and Construction of a Quantum Model of the SHA-1 Algorithm Using IBM’s Qiskit.- Machine Learning Based Path-loss Estimation Model for a 2.4 GHz ZigBee Network.- Heart Device for expectation of coronary illness utilizing Internet of Things.- An Extensive Study of Frequent Mining Algorithms for Colossal Patterns.- A Review Paper On Progressive Approach To Reduce Context Switching in Round Robin Scheduling Algorithm.- Transformer model for human activity recognition using IoT wearables.- Design and Development of a Chatbot for Personalized Learning in Higher Education.- Performance Evaluation of Concentric Hexagonal Array for Smart antenna applications.- Vegetation Change Detection of Multispectral Satellite Images Using Remote Sensing.- Performance evaluation of neural networks based virtual machine placement algorithm for server consolidation in cloud data centers.- Artificial Neural Network Based Fault Classification and Location Identification in Over Head Transmission Lines.- E-learning paradigm in Cloud computing and pertinent challenges in models used for cloud deployment.- Parkinson’s Disease Detection: Comparative Study Using Different Machine Learning Algorithms.- Implementation of Blockchain in Automotive Industry to Secure Connected Vehicle Data: Study and Analysis.- A Study of Comparison Between YOLOv5 and YOLOv7 for Detection of Cracks in Concrete Structures.- Machine Learning-Based Identification as well as Classification of Functional and Non-functional Requirements.- Expiry Date Detection on Product Packages with the Help of a Generalized Framework Using Fully Convolutional Networks.- Fake News Detection in Dravidian Languages using Transformer Models.- A Review on Artificial Intelligence Techniques for Multilingual SMS Spam detection.- Fusion of LBP and Median LBP for Dominant Region based Multimodal Recognition using Imperfect Face and Gait Cues.

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Book SynopsisThis book takes an in-depth look at the emerging technologies that are transforming the way clinicians manage patients, while at the same time emphasizing that the best practitioners use both artificial and human intelligence to make decisions. AI and machine learning are explored at length, with plain clinical English explanations of convolutional neural networks, back propagation, and digital image analysis. Real-world examples of how these tools are being employed are also discussed, including their value in diagnosing diabetic retinopathy, melanoma, breast cancer, cancer metastasis, and colorectal cancer, as well as in managing severe sepsis.With all the enthusiasm about AI and machine learning, it was also necessary to outline some of criticisms, obstacles, and limitations of these new tools. Among the criticisms discussed: the relative lack of hard scientific evidence supporting some of the latest algorithms and the so-called black box problem. A chTable of ContentsDedicationContentsPrefaceAbout the AuthorsChapter 1: Clinical Reasoning and Diagnostic ErrorsChapter 2: The Promise of Artificial Intelligence and Machine LearningChapter 3: AI Criticisms, Obstacles, and LimitationsChapter 4: CDS Systems: Past, Present, and FutureChapter 5: Reengineering Data AnalyticsChapter 6: Will Systems Biology Transform Clinical Decision Support? Chapter 7: Precision MedicineChapter 8: Reinventing Clinical Decision Support: Case StudiesIndex

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978-0367638481

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978-0367689155

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a huge range and FREE tracked UK delivery on ALL orders.

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Book SynopsisThis introductory user's guide to systems analysis and systems design focuses on building sustainable information systems to meet tomorrow's needs. It shows how practitioners can apply multiple participatory perspectives in development, so as to avoid future problems. As a practical guide, it is presented to be readily comprehensible and is organized to enable users to concentrate on their goals efficiently, and with minimum theoretical elaboration. The chapters follow the sequence involved in planning an information system, explaining key words, the time involved in each step, ending with a tutorial or exercises.Trade Review[An] excellent book.' Guy Fitzgerald, , Professor of Information Systems, Brunel University 'The book stands out in its field through the intelligent and constructive use of the soft systems methodology to develop the themes' Peter Roberts, former Visiting Professor, Open University and City University 'A useful text for teachers and practitioners of a Multiview approach to information analysis and design. It has matured and gained focus in this new edition' Gilbert Mansell, Head of Department of Multimedia and Information Systems, University of Huddersfield 'A textbook for people intending to practice information systems analysis and design.' SciTech Book NewsTable of ContentsInformation Systems and Organization * What is Systems Analysis and Systems Design? * The Role of the Systems Planner or Systems Analyst * Selecting Planning and Development Tools * The Human Activity System: Making a Model * Information Modelling: Making a Workable System * Technical and Social Needs: The Balance * The Human-Computer Interface * Technical Aspects: What is Needed? * Total Design, Training, Hardware, Software and Implementation * Glossary, Appendices, Further Reading, Index

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Book SynopsisThis introductory user's guide to systems analysis and systems design focuses on building sustainable information systems to meet tomorrow's needs. It shows how practitioners can apply multiple participatory perspectives in development, so as to avoid future problems. As a practical guide, it is presented to be readily comprehensible and is organized to enable users to concentrate on their goals efficiently, and with minimum theoretical elaboration. The chapters follow the sequence involved in planning an information system, explaining key words, the time involved in each step, ending with a tutorial or exercises.Trade Review[An] excellent book.' Guy Fitzgerald, , Professor of Information Systems, Brunel University 'The book stands out in its field through the intelligent and constructive use of the soft systems methodology to develop the themes' Peter Roberts, former Visiting Professor, Open University and City University 'A useful text for teachers and practitioners of a Multiview approach to information analysis and design. It has matured and gained focus in this new edition' Gilbert Mansell, Head of Department of Multimedia and Information Systems, University of Huddersfield 'A textbook for people intending to practice information systems analysis and design.' SciTech Book NewsTable of ContentsInformation Systems and Organization * What is Systems Analysis and Systems Design? * The Role of the Systems Planner or Systems Analyst * Selecting Planning and Development Tools * The Human Activity System: Making a Model * Information Modelling: Making a Workable System * Technical and Social Needs: The Balance * The Human-Computer Interface * Technical Aspects: What is Needed? * Total Design, Training, Hardware, Software and Implementation * Glossary, Appendices, Further Reading, 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 SynopsisCOMPUTER ORGANIZATION AND ARCHITECTURE: THEMES AND VARIATIONS stresses the structure of the complete system (CPU, memory, buses and peripherals) and reinforces that core content with an emphasis on divergent examples. This approach to computer architecture is an effective arrangement that provides sufficient detail at the logic and organizational levels appropriate for EE/ECE departments as well as for Computer Science readers. The text goes well beyond the minimal curriculum coverage and introduces topics that are important to anyone involved with computer architecture in a way that is both thought provoking and interesting to all.Table of ContentsPart I. The Beginning 1. Computer Systems Architecture What is Computer Systems Architecture? Architecture and Organization. Development of Computers. The Stored Program Computer. The Stored Program Concept. Overview of the Computer System. Modern Computing 2. Computer Arithmetic and Digital Logic What is Data? Numbers.Binary Arithmetic. Signed Integers. Introduction to Multiplication and Division. Floating-Point Numbers. Floating-Point Arithmetic. Floating-Point Arithmetic and the Programmer. Computer Logic. Sequential Circuits. Buses and Tristate Gates. Part II. Instruction Set Architectures 3. Architecture and Organization Introduction to the Stored Program Machine. The Components of an ISA. ARM Instruction Set Architecture. ARM Assembly Language. ARM Data-Processing Instructions. ARM's Flow Control Instructions. ARM Addressing Modes. Subroutine Call and Return. Intermission: Examples of ARM Code. Subroutines and the Stack. Data Size and Arrangement. Consolidation ��� Putting Things Together 4. Instruction Set Architectures ��� Breadth and Depth Historical Background. The Stack and Data Storage. Privileged Modes and Exceptions. MIPS: Another RISC. Data Processing and Data Movement. Memory Indirect Addressing. Compressed Code, RISC, Thumb, and MIPS16. Variable-Length Instructions. 5. Computer Architecture and Multimedia Applications of High-Performance Computing. Multimedia Influences ��� Reinventing the CISC. Introduction to SIMD Processing. Streaming Extensions and the Development of SIMD Technology. Part III. Organization and Efficiency 6. Performance ��� Meaning and Metrics Progress and Computer Technology. The Performance of a Computer. Computer Metrics. Amdahl's Law. Benchmarks. SPEC. Averaging Metrics. 7. Processor Control The Generic Digital Processor. RISC Organization. Introduction to Pipelining. Branches and the Branch Penalty. Branch Prediction. Dynamic Branch Prediction. 8. Beyond RISC: Superscalar, VLIW, and Itanium Superscalar Architecture. Binary Translation. EPIC Architecture. Part IV. The System 9. Cache Memory and Virtual Memory Introduction to Cache Memory. Performance of Cache Memory. Cache Organization. Considerations in Cache Design. Virtual Memory and Memory Management. 10. Main Memory Introduction. Primary Memory. DRAM. The Read-Only Memory Family. New and Emerging Nonvolatile Technologies. 11. Secondary Storage Magnetic Disk Drives. Magnetism and Data Storage. Data Organization on Disk. Secure Memory and RAID Systems. Solid-State Disk Drives. Magnetic Tape. Optical Storage Technology 12. Input/Output Fundamental Principles of I/O. Data Transfer. I/O Strategy. Performance of I/O Systems. The Bus. Arbitrating for the Bus. The PCI and PCIe Buses. The SCSI and SAS Interfaces. Serial Interface Buses Part V. Processor-Level Parallelism 13. Processor-Level Parallelism Why Parallel Processing? Performance Revisited. Flynn's Taxonomy and Multiprocessor Topologies. Multiprocessor Topologies. Memory in Multiprocessor Systems. Multithreading. Multi-Core Processors. Parallel Programming.

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Book SynopsisTable of ContentsPreface v Part 1 Planning Phase 1 The Systems Analyst and Information Systems Development, 3 Introduction, 4 The Systems Analyst, 6 Systems Analyst Skills, 6 Systems Analyst Roles, 7 The Systems Development Life Cycle, 8 Planning, 10 Analysis, 11 Design, 12 Implementation, 12 Project Identification and Initiation, 13 System Request, 15 Applying the Concepts at DrōnTeq, 16 Feasibility Analysis, 19 Technical Feasibility, 20 Economic Feasibility, 21 Organizational Feasibility, 27 Applying the Concepts at DrōnTeq, 29 Chapter Review, 31 Appendix 1A: Detailed Economic Feasibility Analysis for DrōnTeq, 35 2 Project Selection and Management, 37 Introduction, 38 Project Selection, 39 Applying the Concepts at DrōnTeq, 40 Creating the Project Plan, 41 Project Methodology Options, 42 Selecting the Appropriate Development Methodology, 49 Staffing the Project, 52 Staffing Plan, 52 Coordinating Project Activities, 55 Managing and Controlling the Project, 58 Refining Estimates, 58 Managing Scope, 60 Timeboxing, 60 Managing Risk, 61 Applying the Concepts at DrōnTeq, 62 Staffing the Project, 63 Coordinating Project Activities, 64 Chapter Review, 65 Part 2 Analysis Phase 3 Requirements Determination, 71 Introduction, 72 The Analysis Phase, 72 Requirements Determination, 74 What Is a Requirement?, 74 The Process of Determining Requirements, 78 The Requirements Definition Statement, 78 Requirements Elicitation Techniques, 80 Requirements Elicitation in Practice, 80 Interviews, 81 Joint Application Development (JAD), 88 Questionnaires, 92 Document Analysis, 94 Observation, 96 Selecting the Appropriate Techniques, 96 Requirements Analysis Strategies, 98 Problem Analysis, 98 Root Cause Analysis, 98 Duration Analysis, 100 Activity-Based Costing, 100 Informal Benchmarking, 100 Outcome Analysis, 101 Technology Analysis, 101 Activity Elimination, 102 Comparing Analysis Strategies, 103 Applying the Concepts at DrōnTeq, 103 Eliciting and Analyzing Requirements, 103 Requirements Definition, 104 System Proposal, 104 Chapter Review, 106 4 Understanding Processes with Use Cases and Process Models, 111 Introduction, 112 What Is a Use Case?, 113 The Use Case Concept in a Nutshell, 113 Use Case Formats and Elements, 114 Casual Use Case Format, 114 Use Cases in Sequence, 117 Applying Use Cases, 118 Use Case Practical Tips, 118 Use Cases and Functional Requirements, 119 Use Cases and Testing, 119 Creating Use Cases, 120 Identify the Major Use Cases, 120 Identify the Major Steps for Each Use Case, 122 Identify Elements within Steps, 125 Confirm the Use Case, 128 Revise Functional Requirements Based on Use Cases, 129 Applying the Concepts at DrōnTeq, 129 Identifying the Major Use Cases, 129 Elaborating on the Use Cases, 130 Data Flow Diagrams, 134 Reading Data Flow Diagrams, 134 Elements of Data Flow Diagrams, 136 Using Data Flow Diagrams to Define Business Processes, 139 Process Descriptions, 142 Creating Data Flow Diagrams, 144 Creating the Context Diagram, 145 Creating Data Flow Diagram Fragments, 146 Creating the Level 0 Data Flow Diagram, 148 Creating Level 1 Data Flow Diagrams (and Below), 149 Validating the Data Flow Diagrams, 152 Applying the Concepts at DrōnTeq, 156 Developing the Process Model, 156 Creating Data Flow Diagram Fragments, 156 Creating the Level 1 Data Flow Diagram, 157 Creating Level 2 Data Flow Diagrams (and Below), 159 Validating the Data Flow Diagrams, 160 Chapter Review, 161 5 Data Modeling, 169 Introduction, 170 The Entity Relationship Diagram, 170 Reading an Entity Relationship Diagram, 171 Elements of an Entity Relationship Diagram, 172 The Data Dictionary and Metadata, 177 Creating an Entity Relationship Diagram, 179 Building Entity Relationship Diagrams, 179 Advanced Syntax, 182 Applying the Concepts at DrōnTeq, 184 Validating an Entity Relationship Diagram, 188 Design Guidelines, 188 Normalization, 191 Balancing Entity Relationship Diagrams with Data Flow Diagrams, 191 Chapter Review, 193 Appendix 5A: Normalizing The Data Model, 196 Part 3 Design Phase 6 Moving into Design, 203 Introduction, 204 Transition from Requirements to Design, 204 System Acquisition Strategies, 206 Custom Development, 208 Packaged Software, 209 Outsourcing, 210 Influences on the Acquisition Strategy, 213 Business Need, 213 In-House Experience, 214 Project Skills, 215 Project Management, 215 Time Frame, 215 Selecting an Acquisition Strategy, 215 Alternative Matrix, 216 Applying the Concepts at DrōnTeq, 218 Chapter Review, 220 7 Architecture Design, 222 Introduction, 223 Elements of an Architecture Design, 223 Architectural Components, 223 Client–Server Architectures, 224 Client–Server Tiers, 225 Server-Based Architecture, 227 Mobile Application Architecture, 228 Advances in Architecture Configurations, 229 Comparing Architecture Options, 230 Creating an Architecture Design, 231 Operational Requirements, 231 Performance Requirements, 232 Security Requirements, 234 Access Control Requirements, 236 Cultural and Political Requirements, 239 Designing the Architecture, 241 Hardware and Software Specification, 243 Applying the Concepts at DrōnTeq, 245 Creating an Architecture Design, 245 Hardware and Software Specification, 246 Chapter Review, 247 8 User Interface Design, 250 Introduction, 251 The Usability Concept, 251 Principles for User Interface Design, 252 Layout, 252 Content Awareness, 254 Aesthetics, 255 Usage Level, 255 Consistency, 257 Minimize User Effort, 258 Special Issues of Touch Screen Interface Design, 258 User Interface Design Process, 259 Understand the Users, 260 Organize the Interface, 262 Define Standards, 265 Interface Design Prototyping, 266 Interface Evaluation/Testing, 268 Navigation Design, 272 Basic Principles, 272 Menu Tips, 273 Message Tips, 275 Input Design, 278 Basic Principles, 278 Input Tips, 280 Input Validation, 282 Output Design, 282 Basic Principles, 282 Types of Outputs, 284 Media, 286 Applying the Concepts at DrōnTeq, 287 Understand the Users, 287 Organize the Interface, 288 Define Standards, 289 Interface Template Design, 289 Develop Prototypes, 294 Interface Evaluation/Testing, 295 Chapter Review, 295 9 Program Design, 300 Introduction, 301 Moving from Logical to Physical Process Models, 301 The Physical Data Flow Diagram, 301 Applying the Concepts at DrōnTeq, 304 Designing Programs, 305 Structure Chart, 308 Syntax, 309 Building the Structure Chart, 312 Applying the Concepts at DrōnTeq, 314 Design Guidelines, 318 Program Specification, 324 Syntax, 324 Applying the Concepts at DrōnTeq, 327 Chapter Review, 330 10 Data Storage Design, 336 Introduction, 337 Data Storage Formats, 337 Files, 338 Databases, 340 Selecting a Storage Format, 344 Applying the Concepts at DrōnTeq, 346 Moving from Logical to Physical Data Models, 347 The Physical Entity Relationship Diagram, 347 Revisiting the CRUD Matrix, 350 Applying the Concepts at DrōnTeq, 351 Optimizing Data Storage, 351 Optimizing Storage Efficiency, 354 Optimizing Access Speed, 356 Estimating Storage Size, 360 Applying the Concepts at DrōnTeq, 362 Chapter Review, 364 Part 4 Implementation Phase 11 Moving into Implementation, 369 Introduction, 369 Managing the Programming Process, 370 Assigning Programming Tasks, 370 Coordinating Activities, 371 Managing the Schedule, 372 Testing, 372 Test Planning, 374 Unit Tests, 374 Integration Tests, 377 System Tests, 377 Acceptance Tests, 377 Developing Documentation, 379 Types of Documentation, 380 Designing Documentation Structure, 380 Writing Documentation Topics, 382 Identifying Navigation Terms, 383 Applying the Concepts at DrōnTeq, 385 Managing Programming, 385 Testing, 385 Developing User Documentation, 386 Chapter Review, 389 12 Transition to the New System, 391 Introduction, 391 Making the Transition to the New System, 392 The Migration Plan, 393 Selecting the Conversion Strategy, 394 Preparing a Business Contingency Plan, 398 Preparing the Technology, 399 Preparing People for the New System, 400 Understanding Resistance to Change, 400 Revising Management Policies, 402 Assessing Costs and Benefits, 402 Motivating Adoption, 405 Enabling Adoption: Training, 406 Postimplementation Activities, 409 System Support, 409 System Maintenance, 410 Project Assessment, 412 Applying the Concepts at DrōnTeq, 414 Implementation Process, 414 Preparing the People, 414 Postimplementation Activities, 414 Chapter Review, 415 13 Agile Development Methods, 418 Introduction, 418 Origins of Agile, 419 Evolution of Agile Development, 420 Adoption of the Agile Approach, 421 Benefits of Agile Methods, 421 Adoption of Specific Agile Methodologies, 421 Scrum, 422 Overview of Scrum, 422 Scrum Characteristics, 424 Scrum Roles, 424 Scrum Features, 426 Scrum Processes, 430 How Does Scrum End?, 434 Other Types of Agile Methodologies, 434 Crystal Development Methodology, 434 Dynamic Systems Development Methodology, 435 Feature Driven Development, 435 Lean Software Development, 436 Comparing the SDLC with Agile Methodologies, 436 Chapter Review, 437 Index I-1

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Book Synopsis

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