Search Results - (((((((want OR wants) OR wanting) OR makant) OR cantor) OR anne) OR share) OR hints) algorithms.

Computational models of argument : Proceedings of COMMA 2012

Table of Contents: “…Simari -- Automated Deployment of Argumentation Protocols / Michael Rovatsos -- On Preferred Extension Enumeration in Abstract Argumentation / Katie Atkinson -- Towards Experimental Algorithms for Abstract Argumentation / Katie Atkinson.…”
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More and different : notes from a thoughtful curmudgeon by Anderson, P. W. (Philip W.), 1923-2020

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Goliath's revenge : how established companies turn the tables on digital disruptors by Hewlin, Todd, Snyder, Scott A. (Scott Andrew), 1965-

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Banking and finance issues in emerging markets.

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Dynamics among nations : the evolution of legitimacy and development in modern states by Root, Hilton L.

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Teaching primary programming with Scratch : research-informed approaches. Teacher book by Bagge, Phil

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Design optimization of fluid machinery : applying computational fluid dynamics and numerical optimization by Kim, Kwang-Yong, 1956-, Samad, Abdus, Benini, Ernesto

Table of Contents: “…2.2.5.3 Periodic/Cyclic Boundary Conditions2.2.5.4 Symmetry Boundary Conditions; 2.2.6 Moving Reference Frame (MRF); 2.2.7 Verification and Validation; 2.2.8 Commercial CFD Software; 2.2.9 Open Source Codes; 2.2.9.1 OpenFOAM; References; Chapter 3 Optimization Methodology; 3.1 Introduction; 3.1.1 Engineering Optimization Definition; 3.1.2 Design Space; 3.1.3 Design Variables and Objectives; 3.1.4 Optimization Procedure; 3.1.5 Search Algorithm; 3.2 Multi-Objective Optimization (MOO); 3.2.1 Weighted Sum Approach; 3.2.2 Pareto-Optimal Front…”
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Digital information ecosystems : smart press by Augey, Dominique

Table of Contents: “…The problem of revenue sharing between media and social networks; 6.2. The social network eco-system; 6.2.1. …”
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Fuzzy Multiple Attribute Decision Making : Methods and Applications by Chen, Shu-Jen

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Advanced security solutions for multimedia

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

Table of Contents: “…Front Cover -- Half Title Page -- RIVER PUBLISHERS SERIES IN INNOVATION AND CHANGE IN EDUCATION -- CROSS-CULTURAL PERSPECTIVE -- Title Page -- Security, Privacy and Reliability in Computer Communications and Networks -- Copyright Page -- Contents -- Preface -- Acknowledgments -- List of Contributors -- List of Figures -- List of Tables -- List of Algorithms -- List of Abbreviations -- PART I -- Privacy -- Chapter 1 -- Distributed Beamforming Relay Selection to Increase Base Station Anonymity in Wireless Ad Hoc Networks -- Abstract -- 1.1 Introduction -- 1.2 Anonymity Definition, Metrics, and Contemporary Measures -- 1.2.1 Anonymity Definition and Assessment -- 1.2.2 Antitraffic Analysis Measures -- 1.3 System Assumptions and Attack Model -- 1.3.1 Network Model -- 1.3.2 Adversary Model -- 1.3.3 Evidence Theory and Belief Metric -- 1.4 Distributed Beamforming to Increase the BS Anonymity -- 1.4.1 Overview of the DiBAN Protocol -- 1.4.2 DiBAN Illustrative Example -- 1.4.3 DiBAN Energy Analysis -- 1.5 Distributed Beamforming Relay Selection Approach -- 1.6 Validation Experiments -- 1.6.1 Simulation Environment -- 1.6.2 Simulation Results -- 1.7 Conclusions and FutureWork -- Appendix I: Numerical Evidence Theory Belief Calculation Example -- References -- Chapter 2 -- A Privacy-Preserving and Efficient Information Sharing Scheme for VANET Secure Communication -- Abstract -- 2.1 Introduction -- 2.2 Related Works -- 2.3 System Model and Preliminaries -- 2.3.1 Network Model -- 2.3.2 Attack Model -- 2.3.3 Security Requirements -- 2.4 The Proposed PETS Scheme -- 2.4.1 Scheme Overview -- 2.4.2 System Initiation -- 2.4.3 Vehicle-RSU Key Agreement -- 2.4.4 Traffic Information Collection and Aggregation -- 2.4.5 Traffic Jam Message Propagation -- 2.5 Security Analysis -- 2.6 Performance Evaluation -- 2.6.1 Traffic Information Sending/Collection Overhead.…”
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SCADA Security : Machine Learning Concepts for Intrusion Detection and Prevention. by Almalawi, Abdulmohsen

Table of Contents: “…6.3.1 Learning of Most-Representative Data Sets -- 6.3.2 Decision-Making Model -- 6.4 EXPERIMENTAL SETUP -- 6.4.1 Choice of Parameters -- 6.4.2 The Candidate Classifiers -- 6.5 RESULTS AND DISCUSSION -- 6.5.1 Integrating GATUD into SDAD -- 6.5.2 Integrating GATUD into the Clustering-based Method -- 6.6 CONCLUSION -- CHAPTER 7 Threshold Password-Authenticated Secret Sharing Protocolss -- 7.1 MOTIVATION -- 7.2 EXISTING SOLUTIONS -- 7.3 DEFINITION OF SECURITY -- 7.4 TPASS PROTOCOLS -- 7.4.1 Protocol-Based on Two-Phase Commitment -- 7.4.2 Protocol Based on Zero-Knowledge Proof -- 7.4.3 Correctness…”
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The Johns Hopkins guide to digital media

Table of Contents: “…Berry -- Cognitive implications of new media / Anne Mangen and Jean-Luc Velay -- Collaborative narrative / Scott Rettberg -- Collective intelligence / John Duda -- Combinatory and automatic text generation / Philippe Bootz and Christopher Funkhouser -- Computational linguistics / Inderjeet Mani -- Conceptual writing / Darren Wershler -- Copyright / Benjamin J. …”

Machine Learning with Apache Spark Quick Start Guide : Uncover Patterns, Derive Actionable Insights, and Learn from Big Data Using MLlib. by Quddus, Jillur

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Software engineering for embedded systems : methods, practical techniques, and applications

Table of Contents: “…-- Examples of modeling languages -- The V diagram promise -- So, why would you want to model your embedded system? -- When should you model your embedded system? …”
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Fog and fogonomics : challenges and practices of fog computing, communication, networking, strategy, and economics

Table of Contents: “…3.3.1.2 Computation Task Models 68 -- 3.3.1.3 Quality of Experience 71 -- 3.3.2 Computation Offloading Game 71 -- 3.3.2.1 Game Formulation 71 -- 3.3.2.2 Algorithm Development 74 -- 3.3.2.3 Price of Anarchy 74 -- 3.3.2.4 Performance Evaluation 75 -- 3.4 Conclusion 80 -- References 80 -- 4 Pricing Tradeoffs for Data Analytics in Fog-Cloud Scenarios 83 /Yichen Ruan, Liang Zheng, Maria Gorlatova, Mung Chiang, and Carlee Joe-Wong -- 4.1 Introduction: Economics and Fog Computing 83 -- 4.1.1 Fog Application Pricing 85 -- 4.1.2 Incentivizing Fog Resources 86 -- 4.1.3 A Fogonomics Research Agenda 86 -- 4.2 Fog Pricing Today 87 -- 4.2.1 Pricing Network Resources 87 -- 4.2.2 Pricing Computing Resources 89 -- 4.2.3 Pricing and Architecture Trade-offs 89 -- 4.3 Typical Fog Architectures 90 -- 4.3.1 Fog Applications 90 -- 4.3.2 The Cloud-to-Things Continuum 90 -- 4.4 A Case Study: Distributed Data Processing 92 -- 4.4.1 A Temperature Sensor Testbed 92 -- 4.4.2 Latency, Cost, and Risk 95 -- 4.4.3 System Trade-off: Fog or Cloud 98 -- 4.5 Future Research Directions 101 -- 4.6 Conclusion 102 -- Acknowledgments 102 -- References 103 -- 5 Quantitative and Qualitative Economic Benefits of Fog 107 /Joe Weinman -- 5.1 Characteristics of Fog Computing Solutions 108 -- 5.2 Strategic Value 109 -- 5.2.1 Information Excellence 110 -- 5.2.2 Solution Leadership 110 -- 5.2.3 Collective Intimacy 110 -- 5.2.4 Accelerated Innovation 111 -- 5.3 Bandwidth, Latency, and Response Time 111 -- 5.3.1 Network Latency 113 -- 5.3.2 Server Latency 114 -- 5.3.3 Balancing Consolidation and Dispersion to Minimize Total Latency 114 -- 5.3.4 Data Traffic Volume 115 -- 5.3.5 Nodes and Interconnections 116 -- 5.4 Capacity, Utilization, Cost, and Resource Allocation 117 -- 5.4.1 Capacity Requirements 117 -- 5.4.2 Capacity Utilization 118 -- 5.4.3 Unit Cost of Delivered Resources 119 -- 5.4.4 Resource Allocation, Sharing, and Scheduling 120 -- 5.5 Information Value and Service Quality 120 -- 5.5.1 Precision and Accuracy 120.…”
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Big data analytics : turning big data into big money by Ohlhorst, Frank, 1964-

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Reconfigurable computing : the theory and practice of FPGA-based computation

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Technologies for sustainable development : proceedings of the 7th Nirma University International Conference on Engineering (NUiCONE 2019), November 21-22, 2019, Ahmedabad, India

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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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