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Part I Innovation Supported by Clouds Technology |
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1 Innovation That Matters -- The IBM Research Way |
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3 | (14) |
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1.1 Introduction: Why Innovate? |
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3 | (1) |
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1.2 A History of Innovation - IBM Research |
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4 | (2) |
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1.3 The Shift in Innovation |
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6 | (1) |
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1.4 The Four Pillars of Innovation |
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7 | (4) |
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1.4.1 Innovating People: T-Shaped Individuals |
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7 | (1) |
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1.4.2 Methodology and Processes |
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8 | (1) |
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1.4.3 Structures for Global, Collaborative Innovation |
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9 | (1) |
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1.4.4 Platforms for Collaborative Innovation |
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9 | (2) |
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1.5 Innovation in Services |
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11 | (2) |
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1.6 Smarter Planet: THE Multidisciplinary Innovation |
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13 | (3) |
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15 | (1) |
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1.6.2 Smarter Water Management |
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15 | (1) |
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16 | (1) |
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16 | (1) |
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2 Clouds in Higher Education |
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17 | (12) |
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17 | (1) |
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18 | (2) |
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20 | (7) |
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20 | (3) |
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2.3.2 VCL as an Operating System |
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23 | (1) |
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24 | (3) |
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27 | (2) |
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27 | (2) |
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3 "Evolution, Not Revolution": iSeries -- Modern Business Platform |
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29 | (14) |
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3.1 General Considerations about History |
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29 | (1) |
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3.1.1 Revolution vs Evolution |
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30 | (1) |
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3.2 Success Story: IBM Systemi |
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30 | (5) |
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30 | (1) |
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31 | (2) |
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3.2.3 AS/400 Evolution in Shortcuts |
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33 | (2) |
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35 | (8) |
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3.3.1 2007 Academic Initiative |
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35 | (1) |
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3.3.2 2009yr Starting Own Lab |
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36 | (1) |
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37 | (1) |
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38 | (1) |
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39 | (4) |
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Part II Innovation Proposals in Management Area |
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4 A Smart Road Maintenance System for Cities -- An Evolutionary Approach |
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43 | (14) |
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43 | (1) |
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4.2 Solution Concept and System Structure |
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44 | (4) |
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44 | (2) |
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46 | (1) |
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4.2.3 Component Descriptions |
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47 | (1) |
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48 | (2) |
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4.3.1 Faster and Mostly Automated Problem Reporting |
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48 | (1) |
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4.3.2 Automated Localization and De-duplication |
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48 | (1) |
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4.3.3 Automated Processing, Classification, and Prioritization |
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49 | (1) |
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4.3.4 Rule-Based Processing of Incidents, Service Requests and Work Orders |
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49 | (1) |
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50 | (1) |
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4.4 Results and Project Status |
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50 | (2) |
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50 | (1) |
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51 | (1) |
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4.5 Comparison to Related Work |
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52 | (3) |
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52 | (1) |
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53 | (2) |
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4.6 Conclusion and Future Work |
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55 | (2) |
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55 | (2) |
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5 Cloud IT as a Base for Virtual Internship |
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57 | (16) |
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57 | (2) |
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5.2 Fundamentals of Cloud Computing |
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59 | (1) |
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60 | (1) |
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60 | (3) |
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5.4.1 Problem Description |
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61 | (1) |
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61 | (1) |
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5.4.3 The Method and the Algorithm |
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62 | (1) |
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5.5 One Hundred Years of Business Machinery Named IBM |
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63 | (2) |
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5.6 The History of Contacts between Wroclaw University of Technology and IBM Corporation |
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65 | (1) |
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5.7 Multipurpose Cloud Center (mc2) |
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65 | (1) |
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66 | (1) |
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5.9 Summary and Future Plans |
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67 | (6) |
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71 | (2) |
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6 Development of Intelligent eHealth Systems in the Future Internet Architecture |
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73 | (22) |
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73 | (3) |
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76 | (3) |
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76 | (1) |
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6.2.2 Service Stratum Signaling |
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77 | (2) |
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6.3 Future Internet Applications |
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79 | (8) |
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79 | (3) |
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82 | (3) |
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85 | (2) |
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87 | (4) |
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6.4.1 Problem Formulation |
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87 | (1) |
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6.4.2 Computational Services |
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88 | (1) |
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6.4.3 Decision-Making Support |
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89 | (2) |
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6.5 Summary and Future Works |
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91 | (4) |
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92 | (3) |
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7 Understanding Non-functional Requirements for Precollege Engineering Technologies |
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95 | (28) |
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95 | (3) |
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98 | (1) |
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99 | (2) |
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7.4 Research Methodologies |
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101 | (4) |
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7.4.1 Participant Observation |
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101 | (2) |
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7.4.2 Assessment of Engineering Concepts |
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103 | (1) |
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103 | (2) |
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105 | (5) |
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7.5.1 Outcomes of Assessment of Engineering Concepts |
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105 | (1) |
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7.5.2 Outcomes of Structured Interviews |
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106 | (1) |
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7.5.3 Outcomes of Unstructured Interview |
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107 | (3) |
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7.6 A Basic Model for the Development and Adaptation of Learning Technologies |
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110 | (6) |
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7.6.1 Quality Requirements |
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110 | (2) |
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7.6.2 Determining Quality-in-Use of Engineering Learning Technologies |
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112 | (4) |
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116 | (7) |
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117 | (6) |
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Part III Theoretical Refinement for Innovative Solutions |
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8 FSM-Based Logic Controller Synthesis in Programmable Devices with Embedded Memory Blocks |
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123 | (30) |
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124 | (2) |
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8.2 Example and Assumptions of Hardware Implementation |
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126 | (3) |
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8.3 Transformation to FSM Model |
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129 | (5) |
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134 | (13) |
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8.4.1 Modern Technologies of Controller Manufacture |
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135 | (2) |
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8.4.2 Functional Decomposition and ROM-Based Synthesis |
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137 | (5) |
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8.4.3 Synthesis Based on Architectural Decomposition |
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142 | (5) |
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147 | (6) |
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149 | (4) |
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9 Virtualization from University Point of View |
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153 | (18) |
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153 | (1) |
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154 | (2) |
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155 | (1) |
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9.2.2 Benefits and Concerns |
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155 | (1) |
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9.2.3 Trends and Examples |
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156 | (1) |
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9.3 Scheduling Algorithm for Virtualization Tasks |
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156 | (6) |
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9.3.1 Problem Description |
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157 | (5) |
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9.4 Virtualization as a Tool in Research - NS3 Network Simulator |
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162 | (5) |
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167 | (4) |
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168 | (3) |
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10 Metaheuristic Algorithms for the Quadratic Assignment Problem: Performance and Comparison |
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171 | (20) |
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171 | (3) |
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10.1.1 Quadratic Assignment Problem |
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171 | (2) |
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173 | (1) |
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10.2 Trajectory-Based Algorithms |
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174 | (9) |
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175 | (2) |
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10.2.2 Simulated Annealing |
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177 | (2) |
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179 | (3) |
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10.2.4 Variable Neighborhood Search |
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182 | (1) |
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10.3 Population-Based Algorithms |
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183 | (4) |
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184 | (2) |
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10.3.2 Offspring Selection Genetic Algorithm |
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186 | (1) |
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187 | (1) |
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10.4.1 Memetic Algorithms |
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187 | (1) |
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188 | (1) |
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189 | (2) |
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190 | (1) |
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11 TV-Any time Cloud Computing Concept in Modern Digital Television |
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191 | (20) |
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11.1 Introduction: Trends for TV-Anytime and TV-Any where |
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191 | (3) |
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11.2 Principles of TV-Anytime Standard |
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194 | (12) |
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11.2.1 Simple Broadcast Model |
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194 | (2) |
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11.2.2 Fully Interactive Model |
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196 | (1) |
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11.2.3 Content Referencing and Location Resolution |
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196 | (4) |
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200 | (3) |
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11.2.5 Additional Features Supported by Metadata |
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203 | (1) |
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11.2.6 Template of TV-Any time Usage |
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204 | (2) |
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11.3 TV-Anytime Practical Example |
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206 | (3) |
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206 | (1) |
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206 | (1) |
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207 | (1) |
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207 | (1) |
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208 | (1) |
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208 | (1) |
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209 | (1) |
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209 | (2) |
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210 | (1) |
Subject Index |
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211 | |