Computer science Books

Book SynopsisCognitive Hack explores a broad cross section of research and actual case studies to draw out new insights that may be used to build a benchmark for IT security professionals. This research takes a deeper dive beneath the surface of the analysis to uncover novel ways to mitigate data security vulnerabilities, connect the dots and identify patterns in the data on breaches. This analysis will assist security professionals not only in benchmarking their risk management programs but also in identifying forward looking security measures to narrow the path of future vulnerabilities.Cognitive Risk is a book about the least understood but most pervasive risk to mankind â human decision-making. Cognitive risks are subconscious and unconscious influence factors on human decision-making: heuristics and biases. To understand the scope of cognitive risk, we look at case studies, corporate and organizational failure, and the science that explains why we systemically make erro

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Book SynopsisThis series is for the Cambridge International AS & A Level Computer Science syllabus (9618) for examination from 2021. Developed by an experienced author and examiner team, this revision guide accompanies the coursebook and is written for the Cambridge International AS & A Level Computer Science syllabus (9618). It encourages students to practise their skills to help prepare them for the examination. The guide provides all the explanations to concepts that students have learnt throughout the course with a wealth of extra practice opportunities. Answers to questions are at the back of the book, so students are free to study in their own time.Table of Contents1. Information representation; 2. Communication; 3. Hardware; 4. Processor fundamentals; 5. System software; 6. Security, privacy and data integrity; 7. Ethics and ownership; 8. Databases; 9. Algorithm design and problem-solving; 10. Data types and structures; 11. Programming; 12. Software development; 13. Data representation; 14. Communication and internet technologies; 15. Hardware and virtual machines; 16. System software; 17. Security; 18. Artificial Intelligence (AI); 19. Computational thinking and problem solving; 20. Further programming - programming paradigms overview: low level and declarative paradigms; 21. Further programming – procedural; 22. Further Programming – object oriented; 23. Further Programming – files and processing.

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Book SynopsisBe prepared for the arrival of automated decision making Once thought of as science fiction, major corporations are already beginning to use cognitive systems to assist in providing wealth advice and also in medication treatment. The use of Cognitive Analytics/Artificial Intelligence (AI) Systems is set to accelerate, with the expectation that it'll be considered mainstream' in the next 5 10 years. It'll change the way we as individuals interact with data and systemsand the way we run our businesses. Cognitive Analysis and AI prepares business users for the era of cognitive analytics / artificial intelligence. Building on established texts and commentary, it specifically prepares you in terms of expectation, impact on personal roles, and responsibilities. It focuses on the specific impact on key industries (retail, financial services, utilities and media) and also on key professions (such as accounting, operational management, supply chain and risk managTable of ContentsAcknowledgements xi Preamble: Wellington and Waterloo xiii Introduction xv Prologue: What Do We Mean by Work? 1 Summary 1 Introduction 1 Slavery or Freedom? 2 The Rise of Industrialisation 4 Gen Z and the Flat White Society 8 The Impact of Unemployment 9 Replacing the Need to Work 12 Conclusion 13 Notes 14 CHAPTER 1 Introduction to Analytics 15 Summary 15 Introduction 15 Business Intelligence 17 Advanced Analytics 20 Prescriptive Analytics 25 Business Rules 27 Cognitive Analytics 29 The Accuracy of Analytical Outputs 31 Conclusion 34 Notes 35 CHAPTER 2 Artificial Intelligence 37 Summary 37 Introduction 37 The Turing Test 38 The Dartmouth Event 40 Post-Dartmouth, the AI Winter, and Singularity 41 Springtime for AI? 43 How Does AI Work? 45 Can Computers Be Creative? 48 Conclusion 50 Notes 51 CHAPTER 3 The Impact of AI on Leading-Edge Industries 53 Summary 53 Introduction 53 Financial Services 57 Retail Banking 57 Commercial Banking 59 Investment Banking 60 Wealth Management 62 Insurance 63 Automobiles 67 AI Implementation Timeline 68 Key Developments 69 Innovating to Zero 71 AI and Motor Manufacturing 72 Media, Entertainment, and Telecom 77 Retail 79 Conclusion 83 Notes 84 CHAPTER 4 The Impact of AI on Second-Mover Industries 88 Summary 88 Introduction 88 Construction 89 Augmented Reality 90 Drones and Remote Imagery 91 Contractor Plant and Equipment 92 Employee Behaviour 92 Cultural Change in Construction 94 Utilities and Infrastructure Resilience 95 Construction Industry Summary 96 Utilities 97 Electrical Power 97 Gas 98 Water 98 Wastewater 99 Smart Homes, Smart Infrastructure? 99 Interconnectivity, Poverty, and Famine 100 Public Services 101 Education 104 Policing 107 Healthcare 108 Agriculture 109 Technology Industry 111 Conclusion 113 Notes 114 CHAPTER 5 The Impact of AI on Professions 117 Summary 117 Introduction 117 Work and Professions 118 The Importance of Competences 122 The Morevec Paradox and Why it Threatens Professionals 122 Management 124 Office of Finance 125 Legal Profession 127 Sales and Marketing 130 Retailers 131 Commercial Media 133 Creative Arts 134 Publishing 135 Transportation 137 The Digital Railway 137 Autonomous Flight and Virtual Pilots 138 Air Traffic Controller 139 Engineers and the Built Environment 140 Building Engineers 140 Building Planners 141 Medical Profession 142 General Practitioners 143 Dentists 143 Neurosurgeons 143 Data Centres 145 Entrepreneurs 147 Conclusion 150 Notes 151 CHAPTER 6 Risk and Regulation 155 Summary 155 Introduction 155 What Is Risk? 156 Technology and System Failures 157 Data Security and Privacy 158 Employee Error and Fraud 160 Inadequate or Failed Procedures, Systems, and Policies 161 Reputational Risk 162 External Risk 163 Financial Risk 164 AI and the Future of Compliance 165 Roles, RegTech, and Forgiving the Machine 167 Conclusion 169 Notes 170 CHAPTER 7 Implementation Road Maps 172 Summary 172 Introduction 172 New Thinking on Employee Training 174 Robotics and Process Automation 176 Implementation Frameworks 177 Key Implementation Questions 177 Leadership and Sponsorship 179 Creating a Team 181 Finding Talent 182 Managing Progress 182 Human Resources Function 185 Alternative Spaces: The New Workplace 186 Timing: How Long to Implement? 189 Is Big Bang Transformation Possible? 190 Conclusion 191 Notes 192 CHAPTER 8 New Business Models 194 Summary 194 Introduction 194 Augment or Automate? 197 Issues of Place and Time 199 Contextual Insight 201 Wordplay and Communication 202 New Business Models for New Markets 203 Conclusion 203 Notes 205 CHAPTER 9 Coping with the Future 206 Summary 206 Introduction 206 Existing Roles in AI 207 Future Roles in AI 208 AI Education 209 Academic Education 210 On-the-Job Learning: Start-Ups and Innovation Labs 210 Personal Capabilities for Success 212 Can Computers Innovate? 212 Living with Robots 214 Elderly Healthcare and Robots 216 Taking Instructions and Advice from Computers 217 Rules for Robots 220 Conclusion 221 Notes 222 CHAPTER 10 Strategies for Personal Reinvention 224 Summary 224 Introduction 224 The Need for Personal Reinvention 225 How Easy Is It to Change? 226 The Importance of Events and Conferences 228 The Freedom of Franchises – from Employee to Owner 229 Can We Cope with Doing Nothing? 230 Third-Age Thinking 231 Conclusion 232 Notes 234 APPENDIX A: IMPLEMENTATION FLOWCHARTS 235 APPENDIX B: JOBS MOST AFFECTED BY ARTIFICIAL INTELLIGENCE 241 APPENDIX C: LIST OF PROFESSIONAL AI ORGANISATIONS 264 APPENDIX D: LIST OF TABLES 274 APPENDIX E: LIST OF FIGURES 276 INDEX 277

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Book SynopsisBlue Team defensive advice from the biggest names in cybersecurity The Tribe of Hackers team is back. This new guide is packed with insights on blue team issues from the biggest names in cybersecurity. Inside, dozens of the world's leading Blue Team security specialists show you how to harden systems against real and simulated breaches and attacks. You'll discover the latest strategies for blocking even the most advanced red-team attacks and preventing costly losses. The experts share their hard-earned wisdom, revealing what works and what doesn't in the real world of cybersecurity. Tribe of Hackers Blue Team goes beyond the bestselling, original Tribe of Hackers book and delves into detail on defensive and preventative techniques. Learn how to grapple with the issues that hands-on security experts and security managers are sure to build into their blue team exercises. Discover what it takes to get started building blue team skiTable of ContentsAcknowledgments vii Foreword ix Introduction xi 01 Marcus J. Carey 1 02 Danny Akacki 6 03 Ricky Banda 9 04 William Bengtson 14 05 Amanda Berlin 20 06 O’Shea Bowens 27 07 John Breth 31 08 Lee Brotherston 38 09 Ronald Bushar 47 10 Christopher Caruso 56 11 Eddie Clark 66 12 Mark Clayton 74 13 Ayman Elsawah 80 14 Sahan Fernando 91 15 Stephen Hilt 96 16 Bea Hughes 101 17 Terence Jackson 109 18 Tanya Janca 113 19 Ruth Juma 119 20 Brendon Kelley 123 21 Shawn Kirkland 129 22 Sami Laiho 139 23 Kat Maddox 143 24 Jeffrey Man 147 25 April Mardock 154 26 Bright Gameli Mawudor 159 27 Duncan McAlynn 164 28 Frank McGovern 170 29 Donald McFarlane 172 30 Nathan McNulty 180 31 James Medlock 187 32 Daniel Miessler 192 33 Alyssa Miller 196 34 Maggie Morganti 205 35 Justin Moss 211 36 Mark Orlando 218 37 Mitch Parker 224 38 Stuart Peck 231 39 Carlos Perez 236 40 Quiessence Phillips 242 41 Lauren Proehl 248 42 Josh Rickard 255 43 Megan Roddie 266 44 Jason Schorr 270 45 Chris Sistrunk 274 46 Jayson E. Street 280 47 Michael Tanji 286 48 Ronnie Tokazowski 294 49 Ashley Tolbert 298 50 Ismael Valenzuela 304 51 Dave Venable 321 52 Robert "TProphet" Walker 326 53 Jake Williams 334 54 Robert Willis 340

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Book SynopsisThe 24 chapters in this book provides a deep overview of robotics and the application of AI and IoT in robotics. It contains the exploration of AI and IoT based intelligent automation in robotics. The various algorithms and frameworks for robotics based on AI and IoT are presented, analyzed, and discussed. This book also provides insights on application of robotics in education, healthcare, defense and many other fields which utilize IoT and AI. It also introduces the idea of smart cities using robotics.Table of ContentsPreface xvii 1 Introduction to Robotics 1Srinivas Kumar Palvadi, Pooja Dixit and Vishal Dutt 1.1 Introduction 1 1.2 History and Evolution of Robots 3 1.3 Applications 6 1.4 Components Needed for a Robot 7 1.5 Robot Interaction and Navigation 10 1.5.1 Humanoid Robot 11 1.5.2 Control 11 1.5.3 Autonomy Levels 12 1.6 Conclusion 12 References 13 2 Techniques in Robotics for Automation Using AI and IoT 15Sandeep Kr. Sharma, N. Gayathri, S. Rakesh Kumar and Rajiv Kumar Modanval 2.1 Introduction 16 2.2 Brief History of Robotics 16 2.3 Some General Terms 17 2.4 Requirements of AI and IoT for Robotic Automation 20 2.5 Role of AI and IoT in Robotics 21 2.6 Diagrammatic Representations of Some Robotic Systems 23 2.7 Algorithms Used in Robotics 25 2.8 Application of Robotics 27 2.9 Case Studies 30 2.9.1 Sophia 30 2.9.2 ASIMO 30 2.9.3 Cheetah Robot 30 2.9.4 IBM Watson 31 2.10 Conclusion 31 References 31 3 Robotics, AI and IoT in the Defense Sector 35Rajiv Kumar Modanval, S. Rakesh Kumar, N. Gayathri and Sandeep Kr. Sharma 3.1 Introduction 36 3.2 How Robotics Plays an Important Role in the Defense Sector 36 3.3 Review of the World’s Current Robotics Capabilities in the Defense Sector 38 3.3.1 China 38 3.3.2 United State of America 39 3.3.3 Russia 40 3.3.4 India 41 3.4 Application Areas of Robotics in Warfare 43 3.4.1 Autonomous Drones 43 3.4.2 Autonomous Tanks and Vehicles 44 3.4.3 Autonomous Ships and Submarines 45 3.4.4 Humanoid Robot Soldiers 47 3.4.5 Armed Soldier Exoskeletons 48 3.5 Conclusion 50 3.6 Future Work 50 References 50 4 Robotics, AI and IoT in Medical and Healthcare Applications 53Pooja Dixit, Manju Payal, Nidhi Goyal and Vishal Dutt 4.1 Introduction 53 4.1.1 Basics of AI 53 4.1.1.1 AI in Healthcare 54 4.1.1.2 Current Trends of AI in Healthcare 55 4.1.1.3 Limits of AI in Healthcare 56 4.1.2 Basics of Robotics 57 4.1.2.1 Robotics for Healthcare 57 4.1.3 Basics of IoT 59 4.1.3.1 IoT Scenarios in Healthcare 60 4.1.3.2 Requirements of Security 61 4.2 AI, Robotics and IoT: A Logical Combination 62 4.2.1 Artificial Intelligence and IoT in Healthcare 62 4.2.2 AI and Robotics 63 4.2.2.1 Limitation of Robotics in Medical Healthcare 66 4.2.3 IoT with Robotics 66 4.2.3.1 Overview of IoMRT 67 4.2.3.2 Challenges of IoT Deployment 69 4.3 Essence of AI, IoT, and Robotics in Healthcare 70 4.4 Future Applications of Robotics, AI, and IoT 71 4.5 Conclusion 72 References 72 5 Towards Analyzing Skill Transfer to Robots Based on Semantically Represented Activities of Humans 75Devi.T, N. Deepa, S. Rakesh Kumar, R. Ganesan and N. Gayathri 5.1 Introduction 76 5.2 Related Work 77 5.3 Overview of Proposed System 78 5.3.1 Visual Data Retrieval 79 5.3.2 Data Processing to Attain User Objective 80 5.3.3 Knowledge Base 82 5.3.4 Robot Attaining User Goal 83 5.4 Results and Discussion 83 5.5 Conclusion 85 References 85 6 Healthcare Robots Enabled with IoT and Artificial Intelligence for Elderly Patients 87S. Porkodi and D. Kesavaraja 6.1 Introduction 88 6.1.1 Past, Present, and Future 88 6.1.2 Internet of Things 88 6.1.3 Artificial Intelligence 89 6.1.4 Using Robotics to Enhance Healthcare Services 89 6.2 Existing Robots in Healthcare 90 6.3 Challenges in Implementation and Providing Potential Solutions 90 6.4 Robotic Solutions for Problems Facing the Elderly in Society 98 6.4.1 Solutions for Physical and Functional Challenges 98 6.4.2 Solutions for Cognitive Challenges 98 6.5 Healthcare Management 99 6.5.1 Internet of Things for Data Acquisition 99 6.5.2 Robotics for Healthcare Assistance and Medication Management 102 6.5.3 Robotics for Psychological Issues 103 6.6 Conclusion and Future Directions 103 References 104 7 Robotics, AI, and the IoT in Defense Systems 109Manju Payal, Pooja Dixit, T.V.M. Sairam and Nidhi Goyal 7.1 AI in Defense 110 7.1.1 AI Terminology and Background 110 7.1.2 Systematic Sensing Applications 111 7.1.3 Overview of AI in Defense Systems 112 7.2 Overview of IoT in Defense Systems 114 7.2.1 Role of IoT in Defense 116 7.2.2 Ministry of Defense Initiatives 117 7.2.3 IoT Defense Policy Challenges 117 7.3 Robotics in Defense 118 7.3.1 Technical Challenges of Defense Robots 120 7.4 AI, Robotics, and IoT in Defense: A Logical Mix in Context 123 7.4.1 Combination of Robotics and IoT in Defense 123 7.4.2 Combination of Robotics and AI in Defense 124 7.5 Conclusion 126 References 127 8 Techniques of Robotics for Automation Using AI and the IoT 129Kapil Chauhan and Vishal Dutt 8.1 Introduction 130 8.2 Internet of Robotic Things Concept 131 8.3 Definitions of Commonly Used Terms 132 8.4 Procedures Used in Making a Robot 133 8.4.1 Analyzing Tasks 133 8.4.2 Designing Robots 134 8.4.3 Computerized Reasoning 134 8.4.4 Combining Ideas to Make a Robot 134 8.4.5 Making a Robot 134 8.4.6 Designing Interfaces with Different Frameworks or Robots 134 8.5 IoRT Technologies 135 8.6 Sensors and Actuators 137 8.7 Component Selection and Designing Parts 138 8.7.1 Robot and Controller Structure 140 8.8 Process Automation 141 8.8.1 Benefits of Process Automation 141 8.8.2 Incorporating AI in Process Automation 141 8.9 Robots and Robotic Automation 142 8.10 Architecture of the Internet of Robotic Things 142 8.10.1 Concepts of Open Architecture Platforms 143 8.11 Basic Abilities 143 8.11.1 Discernment Capacity 143 8.11.2 Motion Capacity 144 8.11.3 Manipulation Capacity 144 8.12 More Elevated Level Capacities 145 8.12.1 Decisional Self-Sufficiency 145 8.12.2 Interaction Capacity 145 8.12.3 Cognitive Capacity 146 8.13 Conclusion 146 References 146 9 An Artificial Intelligence-Based Smart Task Responder: Android Robot for Human Instruction Using LSTM Technique 149T. Devi, N. Deepa, SP. Chokkalingam, N. Gayathri and S. Rakesh Kumar 9.1 Introduction 150 9.2 Literature Review 152 9.3 Proposed System 152 9.4 Results and Discussion 157 9.5 Conclusion 161 References 162 10 AI, IoT and Robotics in the Medical and Healthcare Field 165V. Kavidha, N. Gayathri and S. Rakesh Kumar 10.1 Introduction 165 10.2 A Survey of Robots and AI Used in the Health Sector 167 10.2.1 Surgical Robots 167 10.2.2 Exoskeletons 168 10.2.3 Prosthetics 170 10.2.4 Artificial Organs 171 10.2.5 Pharmacy and Hospital Automation Robots 172 10.2.6 Social Robots 173 10.2.7 Big Data Analytics 175 10.3 Sociotechnical Considerations 176 10.3.1 Sociotechnical Influence 176 10.3.2 Social Valence 177 10.3.3 The Paradox of Evidence-Based Reasoning 178 10.4 Legal Considerations 180 10.4.1 Liability for Robotics, AI and IoT 180 10.4.2 Liability for Physicians Using Robotics, AI and IoT 181 10.4.3 Liability for Institutions Using Robotics, AI and IoT 182 10.5 Regulating Robotics, AI and IoT as Medical Devices 183 10.6 Conclusion 185 References 185 11 Real-Time Mild and Moderate COVID-19 Human Body Temperature Detection Using Artificial Intelligence 189K. Logu, T. Devi, N. Deepa, S. Rakesh Kumar and N. Gayathri 11.1 Introduction 190 11.2 Contactless Temperature 191 11.2.1 Bolometers (IR-Based) 192 11.2.2 Thermopile Radiation Sensors (IR-Based) 193 11.2.3 Fiber-Optic Pyrometers 193 11.2.4 RGB Photocell 194 11.2.5 3D Sensor 195 11.3 Fever Detection Camera 196 11.3.1 Facial Recognition 197 11.3.2 Geometric Approach 198 11.3.3 Holistic Approach 198 11.3.4 Model-Based 198 11.3.5 Vascular Network 199 11.4 Simulation and Analysis 200 11.5 Conclusion 203 References 203 12 Drones in Smart Cities 205Manju Payal, Pooja Dixit and Vishal Dutt 12.1 Introduction 206 12.1.1 Overview of the Literature 206 12.2 Utilization of UAVs for Wireless Network 209 12.2.1 Use Cases for WN Using UAVs 209 12.2.2 Classifications and Types of UAVs 210 12.2.3 Deployment of UAVS Using IoT Networks 213 12.2.4 IoT and 5G Sensor Technologies for UAVs 214 12.3 Introduced Framework 217 12.3.1 Architecture of UAV IoT 217 12.3.2 Ground Control Station 218 12.3.3 Data Links 218 12.4 UAV IoT Applications 223 12.4.1 UAV Traffic Management 223 12.4.2 Situation Awareness 223 12.4.3 Public Safety/Saving Lives 225 12.5 Conclusion 227 References 227 13 UAVs in Agriculture 229DeepanshuSrivastava, S. RakeshKumar and N. Gayathri 13.1 Introduction 230 13.2 UAVs in Smart Farming and Take-Off Panel 230 13.2.1 Overview of Systems 230 13.3 Introduction to UGV Systems and Planning 234 13.4 UAV-Hyperspectral for Agriculture 236 13.5 UAV-Based Multisensors for Precision Agriculture 239 13.6 Automation in Agriculture 242 13.7 Conclusion 245 References 245 14 Semi-Automated Parking System Using DSDV and RFID 247Mayank Agrawal, Abhishek Kumar Rawat, Archana, SandhyaKatiyar and Sanjay Kumar 14.1 Introduction 247 14.2 Ad Hoc Network 248 14.2.1 Destination-Sequenced Distance Vector (DSDV) Routing Protocol 248 14.3 Radio Frequency Identification (RFID) 249 14.4 Problem Identification 250 14.5 Survey of the Literature 250 14.6 PANet Architecture 251 14.6.1 Approach for Semi-Automated System Using DSDV 252 14.6.2 Tables for Parking Available/Occupied 253 14.6.3 Algorithm for Detecting the Empty Slots 255 14.6.4 Pseudo Code 255 14.7 Conclusion 256 References 256 15 Survey of Various Technologies Involved in Vehicle-to-Vehicle Communication 259Lisha Kamala K., Sini Anna Alex and Anita Kanavalli 15.1 Introduction 259 15.2 Survey of the Literature 260 15.3 Brief Description of the Techniques 262 15.3.1 ARM and Zigbee Technology 262 15.3.2 VANET-Based Prototype 262 15.3.2.1 Calculating Distance by Considering Parameters 263 15.3.2.2 Calculating Speed by Considering Parameters 263 15.3.3 Wi-Fi–Based Technology 263 15.3.4 Li-Fi–Based Technique 264 15.3.5 Real-Time Wireless System 266 15.4 Various Technologies Involved in V2V Communication 267 15.5 Results and Analysis 267 15.6 Conclusion 268 References 268 16 Smart Wheelchair 271Mekala Ajay, Pusapally Srinivas and Lupthavisha Netam 16.1 Background 271 16.2 System Overview 275 16.3 Health-Monitoring System Using IoT 275 16.4 Driver Circuit of Wheelchair Interfaced with Amazon Alexa 276 16.5 MATLAB Simulations 277 16.5.1 Obstacle Detection 277 16.5.2 Implementing Path Planning Algorithms 278 16.5.3 Differential Drive Robot for Path Following 280 16.6 Conclusion 282 16.7 Future Work 282 Acknowledgment 283 References 283 17 Defaulter List Using Facial Recognition 285Kavitha Esther, Akilindin S.H., Aswin S. and Anand P. 17.1 Introduction 286 17.2 System Analysis 287 17.2.1 Problem Description 287 17.2.2 Existing System 287 17.2.3 Proposed System 287 17.3 Implementation 289 17.3.1 Image Pre-Processing 289 17.3.2 Polygon Shape Family Pre-Processing 289 17.3.3 Image Segmentation 289 17.3.4 Threshold 289 17.3.5 Edge Detection 291 17.3.6 Region Growing Technique 291 17.3.7 Background Subtraction 291 17.3.8 Morphological Operations 291 17.3.9 Object Detection 292 17.4 Inputs and Outputs 292 17.5 Conclusion 292 References 293 18 Visitor/Intruder Monitoring System Using Machine Learning 295G. Jenifa, S. Indu, C. Jeevitha and V. Kiruthika 18.1 Introduction 296 18.2 Machine Learning 296 18.2.1 Machine Learning in Home Security 297 18.3 System Design 297 18.4 Haar-Cascade Classifier Algorithm 298 18.4.1 Creating the Dataset 298 18.4.2 Training the Model 299 18.4.3 Recognizing the Face 299 18.5 Components 299 18.5.1 Raspberry Pi 299 18.5.2 Web Camera 300 18.6 Experimental Results 300 18.7 Conclusion 302 Acknowledgment 302 References 303 19 Comparison of Machine Learning Algorithms for Air Pollution Monitoring System 305Tushr Sethi and R. C. Thakur 19.1 Introduction 305 19.2 System Design 306 19.3 Model Description and Architecture 307 19.4 Dataset 308 19.5 Models 310 19.6 Line of Best Fit for the Dataset 312 19.7 Feature Importance 313 19.8 Comparisons 315 19.9 Results 318 19.10 Conclusion 318 References 321 20 A Novel Approach Towards Audio Watermarking Using FFT and CORDIC-Based QR Decomposition 323Ankit Kumar, Astha Singh, Shiv Prakash and Vrijendra Singh 20.1 Introduction and Related Work 324 20.2 Proposed Methodology 326 20.2.1 Fast Fourier Transform 328 20.2.2 CORDIC-Based QR Decomposition 329 20.2.3 Concept of Cyclic Codes 331 20.2.4 Concept of Arnold’s Cat Map 331 20.3 Algorithm Design 331 20.4 Experiment Results 334 20.5 Conclusion 337 References 338 21 Performance of DC-Biased Optical Orthogonal Frequency Division Multiplexing in Visible Light Communication 339S. Ponmalar and Shiny J.J. 21.1 Introduction 340 21.2 System Model 341 21.2.1 Transmitter Block 341 21.2.2 Receiver Block 342 21.3 Proposed Method 342 21.3.1 Simulation Parameters for OptSim 343 21.3.2 Block Diagram of DCO-OFDM in OptSim 343 21.4 Results and Discussion 344 21.5 Conclusion 352 References 353 22 Microcontroller-Based Variable Rate Syringe Pump for Microfluidic Application 355G. B. Tejashree, S. Swarnalatha, S. Pavithra, M. C. Jobin Christ and N. Ashwin Kumar 22.1 Introduction 356 22.2 Related Work 357 22.3 Methodology 358 22.3.1 Hardware Design 359 22.3.2 Hardware Interface with Software 360 22.3.3 Programming and Debugging 361 22.4 Result 362 22.5 Inference 363 22.5.1 Viscosity (η) 365 22.5.2 Time Taken 365 22.5.3 Syringe Diameter 366 22.5.4 Deviation 366 22.6 Conclusion and Future Works 366 References 368 23 Analysis of Emotion in Speech Signal Processing and Rejection of Noise Using HMM 371S. Balasubramanian 23.1 Introduction 372 23.2 Existing Method 373 23.3 Proposed Method 374 23.3.1 Proposed Module Description 375 23.3.2 MFCC 376 23.3.3 Hidden Markov Models 379 23.4 Conclusion 382 References 383 24 Securing Cloud Data by Using Blend Cryptography with AWS Services 385Vanchhana Srivastava, Rohit Kumar Pathak and Arun Kumar 24.1 Introduction 385 24.1.1 AWS 387 24.1.2 Quantum Cryptography 388 24.1.3 ECDSA 389 24.2 Background 389 24.3 Proposed Technique 392 24.3.1 How the System Works 393 24.4 Results 394 24.5 Conclusion 396 References 396 Index 399

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Book SynopsisBIG DATA ANALYTICS AND MACHINE INTELLIGENCE IN BIOMEDICAL AND HEALTH INFORMATICS Provides coverage of developments and state-of-the-art methods in the broad and diversified data analytics field and applicable areas such as big data analytics, data mining, and machine intelligence in biomedical and health informatics. The novel applications of Big Data Analytics and machine intelligence in the biomedical and healthcare sector is an emerging field comprising computer science, medicine, biology, natural environmental engineering, and pattern recognition. Biomedical and health informatics is a new era that brings tremendous opportunities and challenges due to the plentifully available biomedical data and the aim is to ensure high-quality and efficient healthcare by analyzing the data. The 12 chapters in??Big Data Analytics and Machine Intelligence in Biomedical and Health Informatics??cover the latest advances and developments in health informatics, data miniTable of ContentsPreface xiii 1 An Introduction to Big Data Analytics Techniques in Healthcare 1Anil Audumbar Pise 1.1 Introduction 1 1.2 Big Data in Healthcare 3 1.3 Areas of Big Data Analytics in Medicine 5 1.4 Healthcare as a Big Data Repository 9 1.5 Applications of Healthcare Big Data 10 1.6 Challenges in Big Data Analytics 16 1.7 Big Data Privacy and Security 17 1.8 Conclusion 18 1.9 Future Work 18 2 Identify Determinants of Infant and Child Mortality Based Using Machine Learning: Case Study on Ethiopia 21Sudhir Kumar Mohapatra, Srinivas Prasad, Getachew Mekuria Habtemariam and Mohammed Siddique 2.1 Introduction 22 2.2 Literature Review 23 2.3 Methodology and Data Source 25 2.4 Implementation and Results 28 2.5 Conclusion 44 3 Pre-Trained CNN Models in Early Alzheimer's Prediction Using Post-Processed MRI 47Kalyani Gunda and Pradeepini Gera 3.1 Introduction 48 3.2 Experimental Study 51 3.3 Data Exploration 55 3.4 OASIS Dataset Pre-Processing 61 3.5 Alzheimer's 4-Class-MRI Features Extraction 69 3.6 Alzheimer 4-Class MRI Image Dataset 69 3.7 RMSProp (Root Mean Square Propagation) 80 3.8 Activation Function 81 3.9 Batch Normalization 81 3.10 Dropout 81 3.11 Result--I 82 3.12 Conclusion and Future Work 89 4 Robust Segmentation Algorithms for Retinal Blood Vessels, Optic Disc, and Optic Cup of Retinal Images in Medical Imaging 97Birendra Biswal, Raveendra T., Dwiti Krishna Bebarta, Geetha Pavani P. and P.K. Biswal 4.1 Introduction 98 4.2 Basics of Proposed Methods 100 4.3 Experimental Results and Discussion 107 4.4 Conclusion 115 5 Analysis of Healthcare Systems Using Computational Approaches 119Hemanta Kumar Bhuyan and Subhendu Kumar Pani 5.1 Introduction 120 5.2 AI & ML Analysis in Health Systems 124 5.3 Healthcare Intellectual Approaches 127 5.4 Precision Approaches to Medicine 133 5.5 Methodology of AI, ML With Healthcare Examples 134 5.6 Big Analytic Data Tools 136 5.7 Discussion 141 5.8 Conclusion 142 6 Expert Systems in Behavioral and Mental Healthcare: Applications of AI in Decision-Making and Consultancy 147Shrikaant Kulkarni 6.1 Introduction 148 6.2 AI Methods 149 6.3 Turing Test 156 6.4 Barriers to Technologies 157 6.5 Advantages of AI for Behavioral & Mental Healthcare 157 6.6 Enhanced Self-Care & Access to Care 158 6.7 Other Considerations 160 6.8 Expert Systems in Mental & Behavioral Healthcare 161 6.9 Dynamical Approaches to Clinical AI and Expert Systems 165 6.10 Conclusion 173 6.11 Future Prospects 175 7 A Mathematical-Based Epidemic Model to Prevent and Control Outbreak of Corona Virus 2019 (COVID-19) 187Shanmuk Srinivas Amiripalli, Vishnu Vardhan Reddy Kollu, Ritika Prasad and Mukkamala S.N.V. Jitendra 7.1 Introduction 188 7.2 Related Work 189 7.3 Proposed Frameworks 190 7.4 Results and Discussion 194 7.5 Conclusion 201 8 An Access Authorization Mechanism for Electronic Health Records of Blockchain to Sheathe Fragile Information 205Sowjanya Naidu K. and Srinivasa L. Chakravarthy 8.1 Introduction 206 8.2 Related Work 212 8.3 Need for Blockchain in Healthcare 216 8.4 Proposed Frameworks 219 8.5 Use Cases 223 8.6 Discussions 229 8.7 Challenges and Limitations 231 8.8 Future Work 231 8.9 Conclusion 232 9 An Epidemic Graph's Modeling Application to the COVID-19 Outbreak 237Hemanta Kumar Bhuyan and Subhendu Kumar Pani 9.1 Introduction 237 9.2 Related Work 239 9.3 Theoretical Approaches 240 9.4 Frameworks 243 9.5 Evaluation of COVID-19 Outbreak 246 9.6 Conclusions and Future Works 250 10 Big Data and Data Mining in e-Health: Legal Issues and Challenges 257Amita Verma and Arpit Bansal Object of Study 257 10.1 Introduction 258 10.2 Big Data and Data Mining in e-Health 260 10.3 Big Data and e-Health in India 262 10.4 Legal Issues Arising Out of Big Data and Data Mining in e-Health 263 10.5 Big Data and Issues of Privacy in e-Health 271 10.6 Conclusion and Suggestions 272 11 Basic Scientific and Clinical Applications 275Manna Sheela Rani Chetty and Kiran Babu C. V. 11.1 Introduction 275 11.2 Case Study-1: Continual Learning Using ML for Clinical pplications 283 11.3 Case Study-2 286 11.4 Case Study-3: ML Will Improve the Radiology Patient Experience 289 11.5 Case Study-4: Medical Imaging AI with Transition from Academic Research to Commercialization 292 11.6 Case Study-5: ML will Benefit All Medical Imaging 'ologies' 295 11.7 Case Study-6: Health Providers will Leverage Data Hubs to Unlock the Value of Their Data 298 11.8 Conclusion 300 12 Healthcare Branding Through Service Quality 305Saraju Prasad and Sunil Dhal 12.1 Introduction to Healthcare 305 12.2 Quality in Healthcare 307 12.3 Service Quality 311 12.4 Conclusion and Road Ahead 315 References 316 Index 321

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Book SynopsisThe gold standard in up-to-date blockchain cybersecurity handbooks In Blockchain Security from the Bottom Up: Securing and Preventing Attacks on Cryptocurrencies, Decentralized Applications, NFTs, and Smart Contracts, accomplished blockchain and cybersecurity consultant and educator Howard E. Poston delivers an authoritative exploration of blockchain and crypto cybersecurity. In the book, the author shows you exactly how cybersecurity should be baked into the blockchain at every layer of the technology's ecosystem. You'll discover how each layer can be attacked and learn how to prevent and respond to those attacks in an environment of constant technological change and evolution. You'll also find: Illuminating case studies of real-world attacks and defenses at various layers in the blockchain ecosystem Thorough introductions to blockchain technology, including its implementations in areas like crypto, NFTs, and smart contracts ComprehensTable of ContentsChapter 1 Introduction to Blockchain Security 1 The Goals of Blockchain Technology 2 Anonymity 2 Decentralization 2 Fault Tolerance 2 Immutability 3 Transparency 3 Trustless 3 Structure of the Blockchain 3 The Blockchain Network 5 The Blockchain Node 5 A Blockchain Block 6 A Blockchain Transaction 7 Inside the Blockchain Ecosystem 8 Fundamentals 8 Primitives 9 Data Structures 9 Protocols 9 Consensus 9 Block Creation 10 Infrastructure 10 Nodes 10 Network 11 Advanced 11 Smart Contracts 11 Extensions 11 Threat Modeling for the Blockchain 12 Threat Modeling with STRIDE 12 Spoofing 12 Tampering 12 Repudiation 13 Information Disclosure 13 Denial of Service 13 Elevation of Privilege 13 Applying STRIDE to Blockchain 14 Conclusion 14 Chapter 2 Fundamentals 15 Cryptographic Primitives 15 Public Key Cryptography 16 Introducing “Hard” Mathematical Problems 16 Building Cryptography with “Hard” Problems 18 How the Blockchain Uses Public Key Cryptography 19 Security Assumptions of Public Key Cryptography 20 Attacking Public Key Cryptography 20 Hash Functions 25 Security Assumptions of Hash Functions 25 Additional Security Requirements 27 How the Blockchain Uses Hash Functions 28 Attacking Hash Functions 31 Threat Modeling for Cryptographic Algorithms 32 Data Structures 33 Transactions 33 What’s In a Transaction? 33 Inside the Life Cycle of a Transaction 34 Attacking Transactions 34 Blocks 37 Inside a Block 37 Attacking Blockchain Blocks 38 Threat Modeling for Data Structures 39 Conclusion 39 Chapter 3 Protocols 43 Consensus 43 Key Concepts in Blockchain Consensus 44 Byzantine Generals Problem 44 Security via Scarcity 45 The Longest Chain Rule 46 Proof of Work 46 Introduction to Proof of Work 47 Security of Proof of Work 48 Proof of Stake 53 Introduction to Proof of Stake 53 Variants of Proof of Stake 54 Security of Proof of Stake 54 Threat Modeling for Consensus 59 Block Creation 59 Stages of Block Creation 60 Transaction Transmission 60 Block Creator Selection (Consensus) 60 Block Building 61 Block Transmission 61 Block Validation 61 Attacking Block Creation 62 Denial of Service 62 Frontrunning 63 SPV Mining 65 Threat Modeling for Block Creation 65 Conclusion 65 Chapter 4 Infrastructure 67 Nodes 67 Inside a Blockchain Node 68 Attacking Blockchain Nodes 68 Blockchain- Specific Malware 69 Denial-of-Service Attacks 70 Failure to Update 71 Malicious Inputs 72 Software Misconfigurations 73 Threat Modeling for Blockchain Nodes 74 Networks 74 Attacking the Blockchain Network 75 Denial-of-service Attacks 75 Eclipse/Routing Attacks 76 Sybil Attacks 78 Threat Modeling for Blockchain Networks 80 Conclusion 80 Chapter 5 Advanced 83 Smart Contracts 83 Smart Contract Vulnerabilities 84 General Programming Vulnerabilities 85 Blockchain- Specific Vulnerabilities 94 Platform-Specific Vulnerabilities 103 Application- Specific Vulnerabilities 119 Threat Modeling for Smart Contracts 128 Blockchain Extensions 128 State Channels 129 State Channel Security Considerations 129 Sidechains 130 Sidechain Security Considerations 131 Threat Modeling for Blockchain Extensions 132 Conclusion 133 Chapter 6 Considerations for Secure Blockchain Design 137 Blockchain Type 137 Public vs. Private 138 Benefits of Public vs. Private Blockchains 138 Open vs. Permissioned 139 Benefits of Open vs. Permissioned Blockchains 139 Choosing a Blockchain Architecture 140 Privacy and Security Enhancements 140 Zero-Knowledge Proofs 140 Stealth Addresses 141 Ring Signatures 141 Legal and Regulatory Compliance 142 Designing Secure Blockchains for the Future 143 Index 145

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Book SynopsisPacked with real-world examples and business cases, ELECTRONIC COMMERCE, 11E continues to lead the market with its cutting-edge coverage of all things e-commerce. Comprehensive coverage of emerging online business strategies, up-to-the-minute technologies, and the latest developments from the field equips readers with a solid understanding of the dynamics of this fast-paced industry. The new edition offers thorough discussions of e-commerce growth in China and the developing world, social media and online marketing strategies, technology-enabled outsourcing, online payment processing systems, and much more. In addition, "Business Case Approaches" and "Learning From Failure" boxes highlight the experiences of actual companies to illustrate real-world practice in action.Table of ContentsPART I: INTRODUCTION. 1. Introduction to Electronic Commerce. 2. Technology Infrastructure: The Internet and the World Wide Web. PART II: BUSINESS STRATEGIES FOR ELECTRONIC COMMERCE. 3. Selling on the Web. 4. Marketing on the Web. 5. Business-to-Business Activities: Improving Efficiency and Reducing Costs. 6. Social Networking, Mobile Commerce, and Online Auctions. 7. The Environment of Electronic Commerce: Legal, Ethical, and Tax Issues. PART III: TECHNOLOGIES FOR ELECTRONIC COMMERCE. 8. Web Server Hardware and Software. 9. Electronic Commerce Software. 10. Electronic Commerce Security. 11. Payment Systems for Electronic Commerce. PART IV: INTEGRATION. 12. Planning for Electronic Commerce.

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Book SynopsisTable of Contents Information Systems and People Information Systems and Strategy Information and Communications Technologies: The Enterprise Architecture Databases and Data Warehouses Information Systems for the Enterprise The Web, E-Commerce, and M-Commerce Business Intelligence and Decision Making Collaborating with Technology Knowledge Management and E-Learning Ethics, Privacy, and Security Systems Development and Procurement Project Management and Strategic Planning Case Studies:Facebook and Instagram: Privacy ChallengesA Humanitarian Supply Chain for the Red CrossApple: Can the Company Pull Off Another Disruptive Innovation?Managing the Federal Government’s IT Project Portfolio

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Book SynopsisReflecting the latest practices, trends, and developments from the field, SYSTEMS ANALYSIS AND DESIGN IN A CHANGING WORLD, 7E equips you with a solid foundation of the most important principles of systems analysis, systems design, project management, and new software development approaches. Using case driven techniques, the succinct 14-chapter book focuses on content that is key to your success in today's market. The book teaches both traditional (structured) and object-oriented (OO) approaches to systems analysis and design. It highlights use cases, use diagrams, and use case descriptions required for a modeling approach, while demonstrating their application to traditional, web development, object-oriented, and service-oriented architecture approaches. Content reflects Microsoft Project 2013 Professional and Microsoft Visio 2013.Table of Contents1. From Beginning to End: An Overview of Systems Analysis and Design. 2. Investigating System Requirements. 3. Identifying Use Cases. 4. Domain Modeling. 5. Use Case Modeling. 6. Foundations for Systems Design. 7. Defining the System Architecture. 8. Designing the User Interface. 9. Designing the Database. 10. Approaches to Systems Development. 11. Project Planning and Project Management. 12. Object-Oriented Design: Principles. 13. Object-Oriented Design: Use Case Realization. 14. Deploying the New System. Online Chapters to Supplement Textbook: A. The Role of the Systems Analyst. B. The Traditional Approach to Requirements. C. Project Management Techniques.

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Book SynopsisPrepare for programming success by learning the fundamental principles of developing structured program logic with Farrell's PROGRAMMING LOGIC AND DESIGN: INTRODUCTORY, 9E. Widely used in foundational programming courses, this popular book takes a unique, language-independent approach to programming with a distinctive emphasis on modern conventions. Noted for its clear, concise writing style, the book eliminates highly technical jargon while introducing universal programming concepts and encouraging a strong programming style and logical thinking.Frequent side notes and Quick Reference boxes provide concise explanations of important programming concepts. Each chapter also begins with a list of objectives and provides a concise summary and a list of key terms. End-of-chapter practice offers multiple-choice review questions, programming and gaming exercises, debugging exercises, and a maintenance exercise that challenges you to improve the working logic presented.Table of Contents1. An Overview of Computers and Programming. 2. Elements of High-Quality Programs. 3. Understanding Structure. 4. Making Decisions. 5. Looping. 6. Arrays. 7. File Handling and Applications. Appendix A: Understanding Numbering Systems and Computer Codes. Appendix B: Solving Difficult Structuring Problems.

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

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Book SynopsisFeaturing hundreds of illustrations and references, this volume in the third edition of the Circuits and Filters Handbook, provides the latest information on analog and VLSI circuits, omitting extensive theory and proofs in favor of numerous examples throughout each chapter. The first part of the text focuses on analog integrated circuits, presenting up-to-date knowledge on monolithic device models, analog circuit cells, high performance analog circuits, RF communication circuits, and PLL circuits. In the second half of the book, well-known contributors offer the latest findings on VLSI circuits, including digital systems, data converters, and systolic arrays.Table of ContentsAnalog Integrated Circuits. Monolithic Device Models. Analog Circuit Cells. High Performance Analog Circuits. RF Communication Circuits. PLL Circuits. Synthesis of Reactance Pulse-Forming Networks. The VLSI Circuits. Fundamentals of Digital Signal Processing. Digital Circuits. Digital Systems. Data Converters.

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Book SynopsisAll researchers need to write or speak about their work, and to have research that is worth presenting. Based on the author's decades of experience as a researcher and advisor, this third edition provides detailed guidance on writing and presentations and a comprehensive introduction to research methods, the how-to of being a successful scientist.Topics include: Development of ideas into research questions; How to find, read, evaluate and referee other research; Design and evaluation of experiments and appropriate use of statistics; Ethics, the principles of science and examples of science gone wrong. Much of the book is a step-by-step guide to effective communication, with advice on: Writing style and editing; Figures, graphs and tables; Mathematics and algorithms; Literature reviews and referees' reports; Structuring of arguments and results into papers and theses; Writing of other professional documents; Presentation of talks and posters. Written in an accessible style and incluTrade Review“This is a comprehensive guide on research methods and how to produce a scientific publication detailing one’s research in computer science … . a must-read for those doing research in CS and related fields. It will greatly benefit anyone who is involved in any kind of scientific research, as the examples are only from the CS field. Students, researchers, scientists, and other academicians involved in scientific research will improve both their research methods and writing by reading this book.” (Alexis Leon, Computing Reviews, July, 2015)Table of ContentsPreface.- Introduction.- Getting Started.- Reading and Reviewing.- Hypotheses, Questions and Evidence.- Writing a Paper.- Good Style.- Style Specifics.- Punctuation.- Mathematics.- Algorithms.- Graphs, Figures and Tables.- Other Professional Writing.- Editing.- Experimentation.- Statistical Principles.- Presentations.– Ethics.- Afterword.- Exercises.- Index.

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Book SynopsisThis publication is sponsored by the American Association for Medical Systems and Informatics. The Board of AAMSI and the Board of the Society for Computer Medicine, one of AAMSI''s predecessors, agreed that a book on application of medical systems and informatics for the practitioner would help promote high quality health care and they charged the Committee on Standards of the Society for Computer Medicine to write such a text. It is intended as a guide for the field of medical systems and informatics with emphasis on standards, terminology, and coding systems. The text, a result of three years of research and effort, has been reviewed by the Board of Directors of AAMSI and approved by the Publications Committee. We believe that you will find it valuable and hope to revise it from time to time to meet current needs. On behalf of the members of the Association, we congratulate thTable of ContentsI Introduction to Accounting Systems.- 1 Beyond Billing: Some Things You Should Know Before You Begin.- 2 What Sort of Data Should Be Collected and Why?.- 3 The Accounting Module.- II Introduction to Administrative Systems.- 4 The Administration Module.- III Introduction to Health Care Delivery Systems.- 5 How Computers Can Help in Patient Care and Practice (Health Care Delivery).- 6 How Physician Professional Education and Development Can Be Enhanced by Computers.- 7 The Medical Record Summary, Contents, and Utilization.- 8 History Gathering Techniques Via the Computer.- 9 Supervising and Keeping Track of Patient Care.- 10 Quality Assessment and Quality Control of Patient Care.- 11 Patient/Parent/Family Educational Assists.- IV Introduction to Planning, Vendors, and Implementation.- 12 Planning for Automation: The Total Office Practice System.- 13 Be Prepared to Give, Not Receive, the Sales Pitch.- 14 Problems with System Implementation.- 15 Office Computing and the Right to Privacy.- 16 Summary.- Appendices.

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Book SynopsisExploring the latest developments in the technology and pedagogy of higher education, Technological Advances in Interactive Collaborative Learning presents information technology-oriented educational programs for the next generation of scientists and researchers. It highlights the importance of technology, pedagogy, and management in the higher education ecosystem.With a focus on technological innovations, the book explains how Web 2.0 technologies can enhance collaborative learning and how immersive learning environments and mobile technologies can improve the learning process. The text then describes novel pedagogical and methodological approaches that underpin the technological advances, facilitate collaborative learning, and enable the efficient use of games. The book also covers managerial aspects and best practices through case studies and examples.Drawing on the work of longtime researchers in computational science and e-learning, Table of ContentsThe Role of Computational Science and Emerging Technologies in the Natural Sciences Education at University Level. Web 2.0 Technologies Applied to Collaborative Learning. Enhanced Learning through the Collaborative Immersive VR Networked System. Pervading Collaborative Learning with Mobile Devices. Creating Interactive Environments for Education. Integrating Semantic Learning Object Repositories in the OKI Architecture. Novel Pedagogical Paradigms for Collaborative Learning. Natural Learning and Collaborative Learning. The Integrated Learning Process, Metacognition, and Collaborative Learning. Transfer of E-Learning Metacognitive Skills Using Games. Measuring the Business Value of Learning Technology Implementation in Higher Education Settings. Digital Literacy and Competencies for New E-Learning Environments. Strategies for Sustainable E-Learning Projects. Index.

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Book SynopsisThis book introduces fundamental concepts and theories in pervasive computing as well as its key technologies and applications. It explains how to design and implement pervasive middleware and real application systems, covering nearly all aspects related to pervasive computing. Key technologies in the book include pervasive computing-oriented resource management and task migration, mobile pervasive transaction, human computer interface, and context collection-oriented wireless sensor networks.Table of ContentsFundamental concepts and theories in pervasive computing. Key technologies and applications. How to design and implement pervasive middleware and real application systems.

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Book SynopsisDigital computers have revolutionized computation and transformed how computers are used to control systems in real life, giving birth to real-time systems. Furthermore, massive developments in the communications domain have made it possible for real-time systems to perform coordinated actions over communication interfaces, resulting in the evolution of distributed real-time systems.Real-Time and Distributed Real-Time Systems: Theory and Applications presents a variety of techniques to design, analyze, implement, verify, and validate such systems. The book begins by introducing the basic principles of real-time and distributed real-time systems and then: Delivers a detailed analysis of a number of common, real-time communication protocols Discusses advancements beyond the standard-switched Ethernet, including multi-stream transmission control protocol/internet protocol (TCP/IP) Depicts the design of distributed real-time systems applicatioTable of ContentsIntroduction to Real-Time Systems. Distributed Real-Time Systems. Communication Protocols. Designing Real-Time and Distributed Real-Time Systems. Developing Distributed Real-Time System Applications—the MATLAB® Way. Design and Testing.

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Book SynopsisBased on the Association for Computing Imagery model curriculum guidelines, Foundations of Computer Science gives students a bird's eye view of Computer Science. This easy-to-read and highly navigable text will help students quickly learn all the fundamentals of computer science they need on their course and to improve their employability prospects. Updated to cover all the latest technologies and changes to course requirements, this fifth edition features new chapters on the efficiency of algorithms, computer graphics, a complete revision on computer networks and the internet, and data security. Material on ethical issues, including intellectual property, has also been expanded.Table of Contents1. Introduction 2. Number Systems 3. Data Storage 4. Operations on Data 5. Computer Organization 6. Computer Networks and Internet 7. Operating Systems 8. Algorithms 9. Efficiency of Algorithms 10. Programming Languages 11. Software Engineering 12. Data Structure 13. Abstract Data Types 14. File Structure 15. Databases 16. Data Compression 17. Security 18. Theory of Computation 19. Computer Graphics 20. Artificial Intelligence 21. Introduction to Social Media 22. Social and Ethical Issues A. Unicode B. Unified Modeling Language (Uml) C. Pseudocode D. Structure Chart E. Boolean Algebra and Logic Circuits F. Examples of Programs in C, C++, and Java G. Mathematical Review H. Error Detection and Correction I. Addition and Subtraction for Sign-and-Magnitude Integers

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Book SynopsisThe latest edition of this bestselling game development reference offers proven tips and techniques for the real-time rendering of special effects and visualization data that are useful for beginners and seasoned game and graphics programmers alike.Exploring recent developments in the rapidly evolving field of real-time rendering, GPU Pro6: Advanced Rendering Techniques assembles a high-quality collection of cutting-edge techniques for advanced graphics processing unit (GPU) programming. It incorporates contributions from more than 45 experts who cover the latest developments in graphics programming for games and movies.The book covers advanced rendering techniques that run on the DirectX or OpenGL runtimes, as well as on any other runtime with any language available. It details the specific challenges involved in creating games across the most common consumer software platforms such as PCs, video consoles, and mobile devices.The bTable of ContentsGeometry Manipulation. Rendering. Global Illumination Effects. Shadows. 3D Engine Design. GPGPU.

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Book SynopsisGet a practical, hands-on introduction to the Haskell language, its libraries and environment, and to the functional programming paradigm that is fast growing in importance in the software industry. This updated edition includes more modern treatment of Haskell''s web framework and APIs.This book contains excellent coverage of the Haskell ecosystem and supporting tools, including Cabal and Stack for managing projects, HUnit and QuickCheck for software testing, WAI and Elm to develop the back end and front end of web applications, Persistent and Esqueleto for database access, and parallel and distributed programming libraries.You''ll see how functional programming is gathering momentum, allowing you to express yourself in a more concise way, reducing boilerplate, and increasing the safety of your code. Haskell is an elegant and noise-free pure functional language with a long history, having a huge number of library contributors and an active community. Table of ContentsPart I: First Steps 1. Going Functional 2. Declaring the Data Model 3. Increasing Code Reuse 4. Using Containers and Type Classes 5. Laziness and Infinite Structures Part II: Data Mining 6. Knowing Your Clients Using Monads 7. More Monads: Now for Recommendations 8. Working in Several Cores Part III: Resource Handling 9. Dealing with Files: IO and Conduit 10. Building and Parsing Text 11. Safe Database Access 12. Web Applications Part IV: Domain Specific Languages 13. Strong Types 14. Interpreting Offers with Attributes Part V: Engineering the Store 15. Documenting, Testing, and Verifying 16. Architecting Your Application 17. Looking Further

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Book SynopsisThis in-depth Spring-based Java developer code reference has been updated and now solves many of your Spring Framework 6 problems using reusable, complete and real-world working code examples. Spring 6 Recipes (5th Edition) now includes Spring Native which speeds up your Java-based Spring Framework built enterprise, native cloud, web applications and microservices. It also has been updated to now include Spring R2DBC for Reactive Relational Database Connectivity, a specification to integrate SQL databases, like PostgreSQL, MySQL and more, using reactive drivers.Furthermore, this book includes additional coverage of WebFlux for more reactive Spring web applications.  Reactive programming allows you to build systems that are resilient to high load, especially common in the more complex enterprise, native cloud applications that Spring Framework lets you build. This updated edition also uses code snippets and examples based on neTable of Contents1. Spring Development Tools2. Spring Core Tasks3. Spring Native: Spring + GraalVM4. Spring MVC5. Spring REST6. Spring MVC - Async Processing7. Spring WebFlux8. Spring Security9. Data Access10. Spring R2DBC11. Spring Transaction Management12. Spring Batch13. Spring with NoSQL14. Spring Java Enterprise Services and Remoting Technologies15. Spring Messaging16. Spring Integration17. Spring TestingA. Spring Deployment to the CloudB. Caching.

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Book SynopsisThis hands-on guide uses Julia 1.0 to walk you through programming one step at a time, beginning with basic programming concepts before moving on to more advanced capabilities, such as creating new types and multiple dispatch.

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Book SynopsisEmpirical research has now become an essential component of software engineering yet software practitioners and researchers often lack an understanding of how the empirical procedures and practices are applied in the field. Empirical Research in Software Engineering: Concepts, Analysis, and Applications shows how to implement empirical research processes, procedures, and practices in software engineering.Written by a leading researcher in empirical software engineering, the book describes the necessary steps to perform replicated and empirical research. It explains how to plan and design experiments, conduct systematic reviews and case studies, and analyze the results produced by the empirical studies. The book balances empirical research concepts with exercises, examples, and real-life case studies, making it suitable for a course on empirical software engineering. The author discusses the process of developing predictive models, such asTrade Review"In this book, Dr. Malhotra uses her breadth of software engineering experience and expertise to give the reader coverage of many aspects of empirical software engineering. She covers the essential techniques and concepts needed for a researcher to get started on empirical software engineering research, including metrics, experimental design, analysis and statistical techniques, threats to the validity of any research findings, and methods and tools for empirical software engineering research. … The book provides the reader with an introduction and overview of the field and is also backed by references to the literature, allowing the interested reader to follow up on the methods, tools, and concepts described."—From the Foreword by Mark Harman, University College LondonTable of ContentsIntroduction. Systematic Literature Reviews. Software Metrics. Experimental Design. Mining Data from Software Repositories. Data Analysis and Statistical Testing. Model Development and Interpretation. Validity Threats. Reporting Results. Mining Unstructured Data. Demonstrating Empirical Procedures. Tools for Analyzing Data. Appendix. References. Index.

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Book SynopsisThe book shows how to use Planning by Design (PxD) for developing working models to any type of subject area. Section 1 describes the nature of planning in general, the formula of planning, the features that make it systematic, the essence of PxD, and developing and using the working model. Section 2 demonstrates personal application of creative planning to real life cases and practical working models on different subject areas. The book provides a general planning master guide that shows how to develop a working model of any definable subject matter. This objective will be accomplished by introducing the concepts, the process, and the methodology of PxD.Table of ContentsPlanning by Design (PxD): Nature of Planning. Formula for Planning. Systematic Planning. Essence of Planning by Design.Sample Systematic Methodologies: Systematic Innovation Planning. Systematic Competency-based Training Needs Analysis. Systematic Wide Area Network Planning. Skyscrapers Terrorist Attack ResponsePlanning. Systematic Planning of Globalizing Local Firms. References

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Book SynopsisComputer Network Simulations Using NS2 provides a solid foundation of computer networking knowledge and skills, covering everything from simple operating system commands to the analysis of complex network performance metrics.The book begins with a discussion of the evolution of data communication techniques and the fundamental issues associated with performance evaluation. After presenting a preliminary overview of simulation and other performance evaluation techniques, the authors: Describe a number of computer network protocols and TCP/IP and OSI models, highlighting the networking devices used Explain a socket and its use in network programming, fostering the development of network applications using C and socket API Introduce the NS2 network simulator, exhibiting its internal architecture, constituent software packages, and installation in different operating systems Delve into simulation using NS2, elaborating on the usTable of ContentsIntroduction. Network Protocols. Network Programming Using Socket API. Introduction to NS2. Basics of Protocol Simulation Using NS2. Wired Network Simulation. Wireless Network Simulation.

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Book SynopsisIs the Unified Process the be all and end all standard for developing object-oriented component-based software? This book is the final in a four volume series that presents a critical review of the Unified Process. The authors present a survey of the alteTable of ContentsPreface Chapter 1: Introduction 1.1 Introduction Chapter 2: Deployment2.1 Best Practices for the Deployment Workflow 2.2 The Articles Chapter 3: Test 3.1 Best Practices for the Test Workflow 3.2 The Articles Chapter 4: Project Management 4.1 Best Practices for the Project Management Workflow 4.2 The Articles Chapter 5: Operations and Support 5.1 Best Practices for the Operations and Support Workflow 5.2 The Articles Chapter 6: Infrastructure Management 6.1 Best Practices for the Infrastructure Management Workflow 6.2 The Articles Chapter 7: Beyond the Unified Process — Agile Software Processes7.1 Towards Agility 7.2 Agile Software Processes 7.3 The Articles Chapter 8: Parting Words 8.1 Scott’s Really Bad Zen Poetry

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Book SynopsisSemantic interoperability provides the means to automatically process and integrate large amounts of information without human intervention. ""Cases on Semantic Interoperability for Information Systems Integration: Practices and Applications"" provides an in-depth analysis of issues involved with the application of semantic interoperability to information assimilation tasks followed by field professionals. This significant collection of research explains in-depth issues involved the integration of large amounts of heterogeneous information and points to deficiencies of current systems.

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Book SynopsisFocused around a hotel suite project, AutoCAD 2023 for the Interior Designer provides the Interior Design student with a non-intimidating, tutorial based approach to learning the AutoCAD program. To support all users, this book covers AutoCAD for both Macs and PCs.

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Book SynopsisAutodesk Inventor 2023 and Engineering Graphics: An Integrated Approach will teach you the principles of engineering graphics while instructing you on how to use the powerful 3D modeling capabilities of Autodesk Inventor 2023.

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Book SynopsisResidential Design Using Autodesk Revit 2023 is designed for users completely new to Autodesk Revit. Each book also includes access to extensive video training designed to further help you master Autodesk Revit.

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Book SynopsisThis unique text and video set presents a thorough introduction to Autodesk Inventor for anyone with little or no prior experience with CAD software. It can be used in virtually any setting from four year engineering schools to on-the-job use or self-study.

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