Search Results - (((((((ant OR wkant) OR semantic) OR wien) OR cantor) OR anne) OR shape) OR hints) algorithms.

Security, Privacy and Reliability in Computer Communications and Networks. by Sha, Kewei

Table of Contents: “…5.6 Threats Analysis and Future Trends -- 5.7 Conclusion -- References -- PART III -- Cryptographic Algorithms -- Chapter 6 -- Quasigroup-Based Encryption for Low-Powered Devices -- Abstract -- 6.1 Introduction -- 6.2 Background-Low Energy Cryptosystems -- 6.3 Overview of Quasigroup Encryption -- 6.4 The Preliminary Block Cipher Design -- 6.5 Overview of Software Implementation -- 6.6 Overview of Three FPGA Implementations -- 6.6.1 The Quasigroup Implementation -- 6.6.2 Comparison Design-Parallel AES -- 6.6.3 Hybrid Front-End/AES Design -- 6.7 Experimental Results -- 6.8 Toward a Single-Chip Implementation -- 6.9 Algorithm Results for B = 2 to 8 -- 6.10 Generating Quasigroups Fast -- 6.11 Our Quasigroup Block Cipher Algorithm -- 6.12 Cryptanalysis and Improvements in the Block Cipher -- 6.13 Overview of a General Linear Cryptanalytical Attack -- 6.14 The LAT Design -- 6.15 Pilingup Attempts for N = 16, 32, and 64 -- 6.16 Analysis of the Attack on the Quasigroup -- 6.17 The Issue of a Total Linear Bias of 1/2 -- 6.18 Attack Complexity -- 6.19 Possible Changes that Could Be Made in the Design of This Attack Model -- 6.20 Which Quasigroup Order Is Best? …”
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Advanced wireless communications & Internet : future evolving technologies by Glisic, Savo G.

Table of Contents: “…Glisic -- 11.1 Introduction 585 -- 11.2 Background and Related Work 586 -- 11.3 Cooperative Communications 593 -- 11.4 Relay-Assisted Communications 616 -- 11.5 Two-Way Relay-Assisted Communications 646 -- 11.6 Relay-Assisted Communications With Reuse of Resources 651 -- Appendices 668 -- 12 Biologically Inspired Paradigms inWireless Networks 683 -- 12.1 Biologically Inspired Model for Securing Hybrid Mobile Ad Hoc Networks 683 -- 12.2 Biologically Inspired Routing in Ad Hoc Networks 687 -- 12.3 Analytical Modeling of AntNet as Adaptive Mobile Agent Based Routing 691 -- 12.4 Biologically Inspired Algorithm for Optimum Multicasting 697 -- 12.5 Biologically Inspired (BI) Distributed Topology Control 703 -- 12.6 Optimization of Mobile Agent Routing in Sensor Networks 708 -- 12.7 Epidemic Routing 710 -- 12.8 Nano-Networks 715 -- 12.9 Genetic Algorithm Based Dynamic Topology Reconfiguration in Cellular Multihop Wireless Networks 718 -- References 739 -- 13 Positioning in Wireless Networks 743 -- 13.1 Mobile Station Location in Cellular Networks 743.…”
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Spam : a Shadow History of the Internet by Brunton, Finn, 1980-

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Essential principles for autonomous robotics by Hexmoor, Henry, 1960-

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Computer aided design and manufacturing by Bi, Zhuming, Wang, Xiaoqin (Writer on manufacturing)

Table of Contents: “…Evaluate Platform Solutions 159; 4.11 Computer Aided Tools (CAD) for Platform Technologies 160; 4.11.1 Modelling Techniques of Product Variants 163; 4.11.2 Design Toolboxes 163; 4.11.3 Custom Design Libraries 164; 4.12 Summary 165; 4.13 Design Projects 166; References 169; 5 Computer Aided Reverse Engineering 173; 5.1 Introduction 173; 5.2 RE as Design Methodology 175; 5.3 RE Procedure 178; 5.4 Digital Modelling 179; 5.4.1 Types of Digital Models 180; 5.4.2 Surface Reconstruction 181; 5.4.3 Algorithms for Surface Reconstruction 181; 5.4.4 Limitations of Existing Algorithms 182; 5.4.5 Data Flow in Surface Reconstruction 183; 5.4.6 Surface Reconstruction Algorithm 184; 5.4.7 Implementation Examples 186; 5.5 Hardware Systems for Data Acquisition 188; 5.5.1 Classification of Hardware Systems 191; 5.5.2 Positioning of Data Acquisition Devices 197; 5.5.3 Control of Scanning Processes 199; 5.5.4 Available Hardware Systems 200; 5.6 Software Systems for Data Processing 201; 5.6.1 Data Filtering 201; 5.6.2 Data Registration and Integration 204; 5.6.3 Feature Detection 205; 5.6.4 Surface Reconstruction 205; 5.6.5 Surface Simplification 205; 5.6.6 Segmentation 206; 5.6.7 Available Software Tools 206; 5.7 Typical Manufacturing Applications 206; 5.8 Computer Aided Reverse Engineering (CARE) 208; 5.8.1 Recap to Convert Sensed Data into Polygonal Models 209; 5.8.2 ScanTo3D for Generation of Parametric Models 211; 5.8.3 RE of Assembled Products 212; 5.9 RE -- Trend of Development 213; 5.10 Summary 213; 5.11 Design Project 214; References 215; 6 Computer Aided Machine Design 219; 6.1 Introduction 219; 6.2 General Functional Requirements (FRs) of Machines 222; 6.3 Fundamentals of Machine Design 223; 6.3.1 Link Types 223; 6.3.2 Joint Types and Degrees of Freedom (DoFs) 223; 6.3.3 Kinematic Chains 225; 6.3.4 Mobility of Mechanical Systems 226; 6.4 Kinematic Synthesis 230; 6.4.1 Type Synthesis 230; 6.4.2 Number Synthesis 230; 6.4.3 Dimensional Synthesis 232; 6.5 Kinematics 233; 6.5.1 Positions of Particles, Links, and Bodies in 2D and 3D Space 233; 6.5.2 Motions of Particles, Links, and Bodies 235; 6.5.3 Vector-Loop Method for Motion Analysis of a Plane Mechanism 240; 6.5.4 Kinematic Modelling Based on Denavit-Hartenberg (D-H) Parameters 246; 6.5.5 Jacobian Matrix for Velocity Relations 248; 6.6 Dynamic Modelling 259; 6.6.1 Inertia and Moments of Inertia 259; 6.6.2 Newton-Euler Formulation 261; 6.6.3 Lagrangian Method 266; 6.7 Kinematic and Dynamics Modelling in Virtual Design 269; 6.7.1 Motion Simulation 269; 6.7.2 Model Preparation 271; 6.7.3 Creation of a Simulation Model 271; 6.7.4 Define Motion Variables 274; 6.7.5 Setting Simulation Parameters 275; 6.7.6 Run Simulation and Visualize Motion 275; 6.7.7 Analyse Simulation Data 276; 6.7.8 Structural Simulation Using Motion Loads 277; 6.8 Summary 278; 6.9 Design Project 279; References 279; Part II Computer Aided Manufacturing (CAM) 281; 7 Group Technology and Cellular Manufacturing 283; 7.1 Introduction 283; 7.2 Manufacturing System and Components 2…”
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Fog and fogonomics : challenges and practices of fog computing, communication, networking, strategy, and economics

Table of Contents: “…5.5.2 Survivability, Availability, and Reliability 122 -- 5.6 Sovereignty, Privacy, Security, Interoperability, and Management 123 -- 5.6.1 Data Sovereignty 123 -- 5.6.2 Privacy and Security 123 -- 5.6.3 Heterogeneity and Interoperability 124 -- 5.6.4 Monitoring, Orchestration, and Management 124 -- 5.7 Trade-Offs 125 -- 5.8 Conclusion 126 -- References 126 -- 6 Incentive Schemes for User-Provided Fog Infrastructure 129 /George Iosifidis, Lin Gao, Jianwei Huang, and Leandros Tassiulas -- 6.1 Introduction 129 -- 6.2 Technology and Economic Issues in UPIs 132 -- 6.2.1 Overview of UPI models for Network Connectivity 132 -- 6.2.2 Technical Challenges of Resource Allocation 134 -- 6.2.3 Incentive Issues 135 -- 6.3 Incentive Mechanisms for Autonomous Mobile UPIs 137 -- 6.4 Incentive Mechanisms for Provider-assisted Mobile UPIs 140 -- 6.5 Incentive Mechanisms for Large-Scale Systems 143 -- 6.6 Open Challenges in Mobile UPI Incentive Mechanisms 145 -- 6.6.1 Autonomous Mobile UPIs 145 -- 6.6.1.1 Consensus of the Service Provider 145 -- 6.6.1.2 Dynamic Setting 146 -- 6.6.2 Provider-assisted Mobile UPIs 146 -- 6.6.2.1 Modeling the Users 146 -- 6.6.2.2 Incomplete Market Information 147 -- 6.7 Conclusions 147 -- References 148 -- 7 Fog-Based Service Enablement Architecture 151 /Nanxi Chen, Siobhán Clarke, and Shu Chen -- 7.1 Introduction 151 -- 7.1.1 Objectives and Challenges 152 -- 7.2 Ongoing Effort on FogSEA 153 -- 7.2.1 FogSEA Service Description 156 -- 7.2.2 Semantic Data Dependency Overlay Network 158 -- 7.2.2.1 Creation and Maintenance 159 -- 7.2.2.2 Semantic-Based Service Matchmarking 161 -- 7.3 Early Results 164 -- 7.3.1 Service Composition 165 -- 7.3.1.1 SeDDON Creation in FogSEA 167 -- 7.3.2 Related Work 168 -- 7.3.2.1 Semantic-Based Service Overlays 169 -- 7.3.2.2 Goal-Driven Planning 170 -- 7.3.2.3 Service Discovery 171 -- 7.3.3 Open Issue and Future Work 172 -- References 174 -- 8 Software-Defined Fog Orchestration for IoT Services 179 /Renyu Yang, Zhenyu Wen, David McKee, Tao Lin, Jie Xu, and Peter Garraghan.…”
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At a distance : precursors to art and activism on the Internet

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Nano-Biomedical Engineering 2009 : Proceedings of the Tohoku University Global Centre of Excellence Programme Global Nano-Biomedical Engineering Education and Research Network Cent...

Table of Contents: “…Achievement of mechanical assistance by an artificial myocardium using shape memory alloy fibre / Yasuyuki Shiraishi, Tomoyuki Yambe, Dai Homma. …”
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Handbook of safety principles

Table of Contents: “…Success or Failure / Ann Enander -- 30.8. Relations to Other Safety Principles / Ann Enander -- References / Ann Enander -- Further Reading / Ann Enander -- 31. …”
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Introduction to OFDM receiver design and simulation by Liu, Y. J.

Table of Contents: “…2.2 Data Transmission Rate -- 2.3 Bandpass Signals -- 2.4 Digitally Modulated Signals -- 2.4.1 PAM -- 2.4.2 PSK -- 2.4.3 QAM -- 2.4.4 FSK -- 2.5 Pulse Shaping -- 2.6 Summary -- References -- 3 Multicarrier Modulation -- 3.1 Introduction -- 3.2 OFDM Waveform -- 3.3 OFDM Characteristics -- 3.3.1 Orthogonality -- 3.3.2 OFDM Spectrum -- 3.3.3 PAPR -- 3.3.4 Cyclic Prefix -- 3.3.5 FFT -- 3.4 Time and Frequency Parameters -- 3.5 Window Function -- 3.6 Digital Modulation -- 3.7 OFDM Waveform Properties -- 3.8 Summary -- References -- 4 OFDM Transmission -- 4.1 Introduction…”
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Mechanical, Information and Industrial Engineering by Wang, Li

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Linear drives for industry applications IX : selected, peer reviewed papers from the 9th International Conference on Linear Drives for Industry Applications (LDIA 2013), July 7-10,...

Table of Contents: “…Intro -- Linear Drives for Industry Applications IX -- Preface, Committees and Reviewers -- Table of Contents -- Chapter 1: Linear Motors and Other Electrical Machines -- Design and Analysis of a New Linear Fault-Tolerant Flux-Reversal Permanent-Magnet Machine -- Design of Dual-Rotor Radial Flux Permanent-Magnet Generator for Wind Power Applications -- Inductance and Flux Linkage Variation on Operation Performance for Multi-Segmented Linear PM Motor -- An Optimal Method for Minimizing Cogging Torque in Disc-Type Permanent Magnet Machines Using FEM and Genetic Algorithm -- Research on the End Effect Detent Force Reduction of Permanent Magnet Linear Synchronous Motor with Auxiliary Poles One-Piece Structure -- Performance Analysis of a Linear Motor with HTS Bulk Magnets for Driving a Prototype HTS Maglev Vehicle -- Design of a New Frog-Leg Winding Permanent-Magnet Brushless DC Motor -- Magnetic Shielding for Coreless Linear Permanent Magnet Motors -- Design and Experiment Analysis of Induction Machine Used in the Economical EV -- An Exact Analytical Solution of Halbach Arrays Permanent-Magnet Motor for Magnetic Field on Load -- Analysis, Design and Prototyping of a Low-Speed High-Torque Six-Phase Fault-Tolerant Permanent Magnet Synchronous Machine for EVs -- Investigation of a Single-Phase Oscillating PM Alternator for Free-Piston Stirling Engines -- Punching Machine Driver Research Based on Pulse Electromagnetic Force Actuator -- Characteristic Analysis of Moving Magnet Type Double-Sided Linear Synchronous Motor -- Gravity Neighborhood Estimation Algorithm Based for Cylinder Linear Motor Parameter Optimization -- Copper Losses and Rotor Losses Calculation for the BLDCM Used in a Flywheel Energy Storage System -- Optimal Design of a Double-Sided Permanent Magnet Linear Synchronous Motor for Ropeless Elevator System.…”
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Thermal Management of Electronics : an Experimental Approach Using Phase-Change-Based Materials in Composite Heat Sinks. by Baby, Rajesh

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XIVth International Congress on Mathematical Physics : Lisbon, 28 July - 2 August 2003

Table of Contents: “…Lieb (Princeton), Jakob Yngvason (U. Wien). Semiclassical dynamics of an electron moving in a slowly perturbed periodic potential / Stefan Teufel, Gianluca Panati (Tech. …”
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Cognitive radio communication and networking : principles and practice by Qiu, Robert C., 1966-

Table of Contents: “…10.3.3 Game Formulation 369 -- 10.3.4 Bayesian Equilibrium 370 -- 10.3.5 Numerical Results 371 -- 10.4 Games in Collaborative Spectrum Sensing 372 -- 10.4.1 False Report Attack 373 -- 10.4.2 Game Formulation 373 -- 10.4.3 Elements of Game 374 -- 10.4.4 Bayesian Equilibrium 376 -- 10.4.5 Numerical Results 379 -- 11 Cognitive Radio Network 381 -- 11.1 Basic Concepts of Networks 381 -- 11.1.1 Network Architecture 381 -- 11.1.2 Network Layers 382 -- 11.1.3 Cross-Layer Design 384 -- 11.1.4 Main Challenges in Cognitive Radio Networks 384 -- 11.1.5 Complex Networks 385 -- 11.2 Channel Allocation in MAC Layer 386 -- 11.2.1 Problem Formulation 386 -- 11.2.2 Scheduling Algorithm 387 -- 11.2.3 Solution 389 -- 11.2.4 Discussion 390 -- 11.3 Scheduling in MAC Layer 391 -- 11.3.1 Network Model 391 -- 11.3.2 Goal of Scheduling 393 -- 11.3.3 Scheduling Algorithm 393 -- 11.3.4 Performance of the CNC Algorithm 395 -- 11.3.5 Distributed Scheduling Algorithm 396 -- 11.4 Routing in Network Layer 396 -- 11.4.1 Challenges of Routing in Cognitive Radio 397 -- 11.4.2 Stationary Routing 398 -- 11.4.3 Dynamic Routing 402 -- 11.5 Congestion Control in Transport Layer 404 -- 11.5.1 Congestion Control in Internet 404 -- 11.5.2 Challenges in Cognitive Radio 405 -- 11.5.3 TP-CRAHN 406 -- 11.5.4 Early Start Scheme 408 -- 11.6 Complex Networks in Cognitive Radio 417 -- 11.6.1 Brief Introduction to Complex Networks 418 -- 11.6.2 Connectivity of Cognitive Radio Networks 421 -- 11.6.3 Behavior Propagation in Cognitive Radio Networks 423 -- 12 Cognitive Radio Network as Sensors 427 -- 12.1 Intrusion Detection by Machine Learning 429 -- 12.2 Joint Spectrum Sensing and Localization 429 -- 12.3 Distributed Aspect Synthetic Aperture Radar 429 -- 12.4 Wireless Tomography 433 -- 12.5 Mobile Crowdsensing 434 -- 12.6 Integration of 3S 435 -- 12.7 The Cyber-Physical System 435 -- 12.8 Computing 436 -- 12.8.1 Graphics Processor Unit 437 -- 12.8.2 Task Distribution and Load Balancing 437 -- 12.9 Security and Privacy 438.…”
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Acoustic emission and durability of composite materials by Godin, Nathalie, Reynaud, Pascal, Fantozzi, G.

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Designing and Researching of Machines and Technologies for Modern Manufacture.

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Danforth's obstetrics and gynecology.

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Decision Intelligence for Dummies by Baker, Pamela

Table of Contents: “…Preventing Wrong Influences from Affecting Decisions -- Bad influences in AI and analytics -- The blame game -- Ugly politics and happy influencers -- Risk Factors in Decision Intelligence -- DI and Hyperautomation -- Part 5 The Part of Tens -- Chapter 17 Ten Steps to Setting Up a Smart Decision -- Check Your Data Source -- Track Your Data Lineage -- Know Your Tools -- Use Automated Visualizations -- Impact = Decision -- Do Reality Checks -- Limit Your Assumptions -- Think Like a Science Teacher -- Solve for Missing Data -- Partial versus incomplete data -- Clues and missing answers -- Take Two Perspectives and Call Me in the Morning -- Chapter 18 Bias In, Bias Out (and Other Pitfalls) -- A Pitfalls Overview -- Relying on Racist Algorithms -- Following a Flawed Model for Repeat Offenders -- Using A Sexist Hiring Algorithm -- Redlining Loans -- Leaning on Irrelevant Information -- Falling Victim to Framing Foibles -- Being Overconfident -- Lulled by Percentages -- Dismissing with Prejudice -- Index -- EULA.…”
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Artificial intelligence and data mining approaches in security frameworks

Table of Contents: “…87 -- 5.1.2 Purpose of Spamming 88 -- 5.1.3 Spam Filters Inputs and Outputs 88 -- 5.2 Content-Based Spam Filtering Techniques 89 -- 5.2.1 Previous Likeness–Based Filters 89 -- 5.2.2 Case-Based Reasoning Filters 89 -- 5.2.3 Ontology-Based E-Mail Filters 90 -- 5.2.4 Machine-Learning Models 90 -- 5.2.4.1 Supervised Learning 90 -- 5.2.4.2 Unsupervised Learning 90 -- 5.2.4.3 Reinforcement Learning 91 -- 5.3 Machine Learning–Based Filtering 91 -- 5.3.1 Linear Classifiers 91 -- 5.3.2 Naïve Bayes Filtering 92 -- 5.3.3 Support Vector Machines 94 -- 5.3.4 Neural Networks and Fuzzy Logics–Based Filtering 94 -- 5.4 Performance Analysis 97 -- 5.5 Conclusion 97 -- References 98 -- 6 Artificial Intelligence in the Cyber Security Environment 101 Jaya Jain -- 6.1 Introduction 102 -- 6.2 Digital Protection and Security Correspondences Arrangements 104 -- 6.2.1 Operation Safety and Event Response 105 -- 6.2.2 AI2 105 -- 6.2.2.1 CylanceProtect 105 -- 6.3 Black Tracking 106 -- 6.3.1 Web Security 107 -- 6.3.1.1 Amazon Macie 108 -- 6.4 Spark Cognition Deep Military 110 -- 6.5 The Process of Detecting Threats 111 -- 6.6 Vectra Cognito Networks 112 -- 6.7 Conclusion 115 -- References 115 -- 7 Privacy in Multi-Tenancy Frameworks Using AI 119 Shweta Solanki -- 7.1 Introduction 119 -- 7.2 Framework of Multi-Tenancy 120 -- 7.3 Privacy and Security in Multi-Tenant Base System Using AI 122 -- 7.4 Related Work 125 -- 7.5 Conclusion 125 -- References 126 -- 8 Biometric Facial Detection and Recognition Based on ILPB and SVM 129 Shubhi Srivastava, Ankit Kumar and Shiv Prakash -- 8.1 Introduction 129 -- 8.1.1 Biometric 131 -- 8.1.2 Categories of Biometric 131 -- 8.1.2.1 Advantages of Biometric 132 -- 8.1.3 Significance and Scope 132 -- 8.1.4 Biometric Face Recognition 132 -- 8.1.5 Related Work 136 -- 8.1.6 Main Contribution 136 -- 8.1.7 Novelty Discussion 137 -- 8.2 The Proposed Methodolgy 139 -- 8.2.1 Face Detection Using Haar Algorithm 139 -- 8.2.2 Feature Extraction Using ILBP 141 -- 8.2.3 Dataset 143 -- 8.2.4 Classification Using SVM 143 -- 8.3 Experimental Results 145 -- 8.3.1 Face Detection 146 -- 8.3.2 Feature Extraction 146 -- 8.3.3 Recognize Face Image 147 -- 8.4 Conclusion 151 -- References 152 -- 9 Intelligent Robot for Automatic Detection of Defects in Pre-Stressed Multi-Strand Wires and Medical Gas Pipe Line System Using ANN and IoT 155 S K Rajesh Kanna, O. …”
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