Preface |
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xxi | |
Authors |
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xxiii | |
Chapter 1 Introduction of Management, Civil, Electrical and Electronic (MCEE) in Computers |
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1 | (18) |
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1 | (1) |
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2 | (7) |
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1.2.1 Modes of Data Processing |
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2 | (1) |
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2 | (1) |
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1.2.3 Real-Time Processing |
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2 | (1) |
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1.2.4 Distributed Data Processing |
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3 | (1) |
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1.2.5 Basic Functions of Data Processing |
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3 | (2) |
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1.2.6 Application Portfolio Development |
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5 | (1) |
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1.2.7 Characteristics of Portfolio-Based IT Management |
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5 | (1) |
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1.2.8 Management of Data Processing Systems in Business Organizations |
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6 | (1) |
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1.2.9 Computerized Financial Accounting System (FAS) |
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7 | (1) |
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1.2.10 Computerized Inventory Control System |
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7 | (1) |
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1.2.11 Computerized Payroll System |
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8 | (1) |
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1.2.12 Computerized Invoicing System |
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8 | (1) |
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1.2.12.1 Processing Steps |
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8 | (1) |
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9 | (2) |
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1.3.1 Computing Simulated Simulations Engineering Application |
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10 | (1) |
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1.3.2 Application of CAD System |
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10 | (1) |
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11 | (3) |
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1.4.1 Remote Control Structures |
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11 | (2) |
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1.4.2 Example of Remote Laboratory |
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13 | (1) |
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14 | (3) |
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14 | (1) |
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15 | (4) |
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1.5.2.1 Storage Access Time |
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15 | (1) |
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15 | (2) |
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17 | (2) |
Chapter 2 Management Cost Computing |
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19 | (24) |
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2.1 Web-Based Built Cost Prediction Integrated System |
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19 | (4) |
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2.1.1 Cost Analysis Based on FCE and RS Project Construction |
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19 | (1) |
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2.1.1.1 FCE Infrastructure Cost |
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19 | (1) |
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2.1.2 Theory of Rough Sets |
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20 | (1) |
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21 | (1) |
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2.1.4 Conceptualization of Internet-Based Cost Prediction |
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22 | (1) |
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2.2 Research of Corporate Credit-Based Computing |
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23 | (4) |
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23 | (1) |
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2.2.2 Regression Analysis of Principal Component Analysis |
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24 | (1) |
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2.2.3 Analysis of Corporate Credit Risk |
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25 | (2) |
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2.3 Evaluation of Industrial Parks Industrial Transformations and Environmental |
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27 | (4) |
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2.3.1 Industrial Transformation Patterns and Environmental Parks Reform |
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28 | (1) |
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2.3.2 Technological Restructuring Assessment and Sustainability Reformation Updated by MATLAB Program Based on Analytic Hierarchy Process |
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29 | (2) |
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2.4 Integrating Framework Based on Embedding Equipment Monitoring Systems |
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31 | (3) |
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32 | (1) |
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2.4.2 System Architecture |
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33 | (1) |
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2.4.3 An Instance of MIC Systems Integration |
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33 | (1) |
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2.5 Processing and Analysis and Mathematical Modeling of Two-Stage Estimate Method |
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34 | (5) |
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2.5.1 The Mathematical Model |
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35 | (1) |
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2.5.2 Method of Evaluation and Completion of the Modeling |
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35 | (2) |
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2.5.3 Hat Matrix and Fitted Values |
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37 | (1) |
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2.5.4 Selection of Frequency |
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38 | (1) |
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2.5.5 Simulation Techniques |
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38 | (1) |
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2.6 Development and Realization of Parallelism Reduced Power Parallel EO Algorithms |
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39 | (3) |
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2.6.1 Description of EO Algorithm |
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39 | (1) |
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2.6.2 Design for Low-Power Consumption |
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39 | (1) |
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2.6.3 Simultaneous Infinitely Customizable E0 Algorithm Low Power Structure |
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40 | (1) |
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2.6.4 Performance Assessment and Comparisons |
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41 | (1) |
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42 | (1) |
Chapter 3 Management Rule Mining Computing |
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43 | (24) |
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3.1 Association Rules Mining Algorithms |
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43 | (3) |
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3.1.1 Basic Principles of Association Rules |
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43 | (1) |
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3.1.2 Rules of Association |
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43 | (2) |
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3.1.2.1 Improving the Algorithm to Increase Mining Efficiency |
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43 | (1) |
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3.1.2.2 Suggest New Algorithms to Enlarge the Classification Models |
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44 | (1) |
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3.1.2.3 Rules of General Association |
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44 | (1) |
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3.1.2.4 Quantitative Association Rules |
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44 | (1) |
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3.1.2.5 Fuzzy Association Rules |
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45 | (1) |
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3.1.2.6 Rare Association Rules |
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45 | (1) |
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3.1.2.7 Other Association Rules |
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45 | (1) |
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3.1.3 Integration and Classification of Association Rules |
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45 | (1) |
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3.1.4 Parameter Research such as Support and Trust |
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46 | (1) |
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3.2 Application to Building Coolant Charge of Rough Set Theory and Fuzzy LS-SVM |
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46 | (4) |
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3.2.1 Basic Principle of RST and Fuzzy LS-SVM |
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47 | (1) |
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3.2.2 RST- and Fuzzy-LS-SVM-Based Data Preparation |
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48 | (1) |
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3.2.3 Comparative Analysis of Cooling |
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49 | (1) |
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3.3 An Efficient Algorithm for Feature Extraction, Dynamic Load Balancing Clonal Genetic Optimization Technique |
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50 | (3) |
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3.3.1 Combinatorial Optimization Approach |
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50 | (1) |
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51 | (1) |
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3.3.3 MATLAB Implementation |
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52 | (1) |
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3.4 Clone Particle Selection Swarm Optimizing Power Demand Estimates Based on BP Neural Network |
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53 | (8) |
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3.4.1 Estimation of Generating Capacity |
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53 | (2) |
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3.4.2 The Artificial Neural Network Learning Process Is Based on the Swarm Algorithm of Clone Selection (CSPSO-BP) |
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55 | (1) |
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3.4.3 Power Demand Forecast |
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56 | (1) |
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3.4.4 Service Building Emergency Management Sharing Platform |
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56 | (1) |
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3.4.5 Emergency Management |
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57 | (1) |
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3.4.6 Architecture of Messaging Protocol |
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57 | (3) |
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58 | (1) |
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3.4.6.2 Indicator Management |
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58 | (1) |
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3.4.6.3 IQ Data Navigation |
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59 | (1) |
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60 | (1) |
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60 | (1) |
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3.4.7.2 Statistics Service |
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60 | (1) |
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60 | (1) |
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3.4.7.4 Earthquake Client Application |
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61 | (1) |
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3.5 A Criminal Investigation Interactive Intelligent Analysis |
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61 | (3) |
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3.5.1 Principle of Knowledge Mapping |
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62 | (1) |
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3.5.2 Interactive Intelligent Analysis Systems |
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63 | (4) |
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3.5.2.1 Establishment of Cooperative Relational Database |
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63 | (1) |
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3.5.2.2 Intuitionistic Fuzzy Learning System |
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63 | (1) |
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3.5.2.3 An Examples Reasoning Approach |
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64 | (1) |
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64 | (3) |
Chapter 4 Quality Learning Management Computing |
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67 | (32) |
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4.1 Performance Measurement Using Part of This Growing Evaluation of the Cloud-Based Education |
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67 | (5) |
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4.1.1 Quality Evaluation Criteria |
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67 | (2) |
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67 | (2) |
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69 | (1) |
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4.1.3 Knowledge Actions Analytical Performance Evaluation |
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69 | (1) |
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4.1.4 Reflection Evaluation |
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70 | (1) |
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4.1.5 Evaluation of Tutor Support |
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70 | (1) |
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4.1.6 Case Study and Discussion |
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71 | (1) |
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4.2 Investigation on Averaging Grayscale Biometric Authentication |
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72 | (3) |
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4.2.1 Image Pre-Processing |
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72 | (1) |
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73 | (1) |
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4.2.3 Innovative Vector Approach |
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74 | (1) |
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4.2.4 Algorithm Analysis Feature Extraction |
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75 | (1) |
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4.3 The Active Leveled Interest Management in Distributed Virtual Environment |
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75 | (4) |
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76 | (1) |
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4.3.2 Leveled Interest Management |
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76 | (1) |
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4.3.3 Active Leveled Interest Management |
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77 | (2) |
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4.4 Mono-Face Extraction and Parameterization of the Eye Contour |
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79 | (4) |
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80 | (1) |
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81 | (1) |
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4.4.3 Eye Contour Extraction |
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82 | (1) |
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4.4.4 Parameterization of the Eye Contour |
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82 | (1) |
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4.5 Container Terminal Logistics System Modeling and Simulation Study |
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83 | (5) |
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4.5.1 Logistics System Modeling Technology |
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84 | (1) |
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84 | (1) |
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4.5.1.2 Technologies for Numerical Simulation |
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84 | (1) |
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85 | (1) |
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4.5.1.4 Primary Coverage and Key Problem |
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85 | (1) |
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4.5.2 Verification Validation and Accreditation |
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85 | (1) |
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85 | (1) |
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4.5.2.2 Primary Coverage and Key Problem |
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86 | (1) |
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4.5.3 Test and Design Screening Robust |
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86 | (2) |
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4.5.3.1 Critical Screening Review |
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86 | (1) |
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87 | (1) |
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4.5.3.3 Screen Primary Coverage and Fundamental Problem |
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87 | (1) |
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4.5.3.4 Principal Reporting and Substantial Real Problem |
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87 | (1) |
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4.6 Lasers Speedy Prototype Digitized Contour Line Mapping |
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88 | (2) |
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4.6.1 Principle Comparing of SLS, SL, and LOM |
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88 | (1) |
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4.6.2 Digitalized Contour Line Scanning |
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89 | (1) |
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4.6.3 Scanning of Laser Beam |
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89 | (1) |
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4.7 Using Wavelet Coefficient Fitting, 3D Surface Texture Synthesis |
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90 | (3) |
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4.7.1 Use Wavelet Polynomial Approximation New Texture Fabrication |
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91 | (1) |
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4.7.1.1 Discrete Wavelet Transform |
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91 | (1) |
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4.7.1.2 Use of the Wavelet Coefficient for the Novel Materials Synthesizing |
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92 | (1) |
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4.7.2 3D Fabrication Machined Surface Reproduction and Reflecting |
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92 | (1) |
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4.7.2.1 Gradient Method Mathematics Foundation |
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92 | (1) |
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4.8 Consolidated Block-Based Features Extraction Cutting Algorithms |
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93 | (2) |
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4.8.1 Block-Based Normalized Cut |
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94 | (1) |
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4.8.2 Parameter Selection |
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95 | (1) |
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4.9 Composing Framework Depends on Particle Swarm Optimization Semantic and Syntactic Web Service Element |
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95 | (2) |
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4.9.1 Weekends Service Web Feature Method of Composition |
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95 | (2) |
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97 | (2) |
Chapter 5 Mas-Based Data Modeling in Civil Engineering |
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99 | (20) |
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5.1 Autonomous Sensor Taxonomies Assessment to Support Field Data Collection with Signal Processing Techniques |
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99 | (4) |
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5.1.1 Initial Requirements for Representing DAQ Tools |
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99 | (1) |
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5.1.2 Evaluation of Relevant Sensor Ontologies |
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100 | (2) |
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5.1.3 Comparison of Sensor Ontologies for Supporting the Mapping of DAQ Tools to Field Data |
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102 | (1) |
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5.2 i-Con: Geometrical Topology Based on a Semiotic Foundation for the Semantic Representation of Prefabricated Structures |
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103 | (2) |
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103 | (1) |
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5.2.2 Reasoning and Affordances |
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103 | (1) |
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5.2.3 Reasoning on Virtual Building Components |
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104 | (1) |
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105 | (1) |
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5.3 A Technique to Automatic Segmentation of Workers' Measures for Psychological Profiling |
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105 | (2) |
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106 | (1) |
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5.3.2 Motion Classification |
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106 | (1) |
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5.4 An Integration Framework for the Decisions on Constructions Using Case-Based Reasoning |
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107 | (3) |
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107 | (2) |
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5.4.2 Expert System Using Case-Based Reasoning |
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109 | (1) |
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5.5 Construction and Safety of an Emerging Educational Environment through the Merger of Competitive Matches and 4D Plan |
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110 | (3) |
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5.5.1 State of the Art in the Construction Industry |
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110 | (1) |
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5.5.2 Serious Games and H&S Training |
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110 | (1) |
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5.5.3 Sandbox Environments and Mission Hubs |
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111 | (1) |
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5.5.4 Design of the Virtual Environment |
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112 | (1) |
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5.6 Communicating Devices Based on an Independent Landslide Monitoring Program |
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113 | (2) |
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5.6.1 Slope Failure Forecasting |
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113 | (1) |
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5.6.2 Autonomous Landslide Monitoring System |
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114 | (1) |
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115 | (1) |
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5.7 A Combining for a Time-Efficient Assessment of a Simulation Studio in Structural Engineering: Colored Petri-Net and Multi-Agents |
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115 | (2) |
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115 | (1) |
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5.7.2 Simulation Framework |
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116 | (1) |
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117 | (2) |
Chapter 6 Automated Building Information System in Civil |
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119 | (22) |
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6.1 Recovery of the 3D Structure of the Inefficiently Generated Infrastructure Scenery |
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119 | (2) |
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119 | (2) |
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6.2 Innovative Approaches to Computerized Civil Infrastructure Selecting Key Image Sequences |
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121 | (1) |
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6.2.1 Automated Key Video Frames Extraction: Proposed Methodology |
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121 | (1) |
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6.3 BIM-Enabled Building Commissioning and Handover |
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122 | (1) |
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6.3.1 The Commissioning Process |
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122 | (1) |
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6.3.2 BIM for the Construction and Transition of Buildings |
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122 | (1) |
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6.4 Semanic Interchange Modules Customizable Models for the Precast AND/OR Pre-stressed Concrete Industry (SEM) |
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123 | (4) |
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6.4.1 Semantic Exchange Modules (SEMs) |
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123 | (1) |
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6.4.2 SEM Library Structure |
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124 | (1) |
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6.4.3 Generation of SEM Model View |
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124 | (3) |
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126 | (1) |
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127 | (1) |
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6.5 The Difficulty of Building Regulations Computerization |
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127 | (3) |
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6.5.1 Nature of Human Languages |
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127 | (1) |
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128 | (1) |
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6.5.3 Building Codes Computable Model |
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129 | (1) |
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6.6 An Experimental Platform for Building Information Research |
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130 | (1) |
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6.6.1 Common Model Server Platform |
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130 | (1) |
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6.6.2 Common Model Checking Engine |
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130 | (1) |
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6.7 Use among Building Owners and Requirements |
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131 | (3) |
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6.7.1 BIM Adoption by Building Owners |
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131 | (1) |
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6.7.2 Potential Benefits of BIM to Owners |
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132 | (1) |
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6.7.3 BIM Execution Trends among Building Owners |
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132 | (1) |
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6.7.4 Perceived Difficulties in BIM Adoption for Owners |
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133 | (1) |
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6.8 Maintenance Knowledge a BIM Databases Enhanced Service |
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134 | (1) |
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134 | (1) |
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134 | (1) |
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6.9 Building Information Model Systems Semiotic Analysis |
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135 | (2) |
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6.9.1 A Semi-contained Approach for Describing Representations of Spatial Analysis |
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135 | (1) |
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135 | (1) |
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6.9.3 Mode 1: Generating a 4D Model |
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136 | (1) |
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6.9.4 Mode 2: Dynamically Representing the Process Visualization |
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136 | (1) |
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6.10 Physiological Worker Load Assessment with Embedded Devices |
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137 | (2) |
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137 | (1) |
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138 | (1) |
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139 | (2) |
Chapter 7 Infrastructure Monitoring and Sustainable Building and Construction in Civil |
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141 | (20) |
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7.1 A Combination Model-Free Technique for Feasibility Study during Ongoing Intelligent Building Surveillance |
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141 | (1) |
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141 | (1) |
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142 | (1) |
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7.2 A New Approach to Non-intrusive Street Lighting Load Monitoring in Housing Developments |
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142 | (2) |
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7.2.1 Load Monitoring Background |
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142 | (1) |
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143 | (1) |
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7.3 A New Vision-Based Technique to Cracking Characterization by Integrating Knowledge to Understand With Structural Evaluation |
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144 | (1) |
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7.3.1 Crack Quantification |
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144 | (1) |
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7.3.1.1 The Proposed Approach |
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144 | (1) |
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7.3.1.2 Unit Length Conversion Using 3D Scene Reconstruction |
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145 | (1) |
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7.3.1.3 Perspective Error Compensation |
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145 | (1) |
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7.4 Pothole Properties Measurement through Visual 2D Recognition and 3D Reconstruction |
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145 | (3) |
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7.4.1 Current Pavement Evaluation Technique |
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146 | (1) |
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7.4.1.1 Current Research State in the Detecting of Potholes |
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146 | (1) |
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147 | (1) |
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7.4.2.1 2D Video Stream Potholes Recognition |
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148 | (1) |
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7.4.2.2 3D Sparse Approximation of the Road Surfaces |
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148 | (1) |
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7.5 Assessing Indoor Smartphone Location Strategies to Improve Embedded Systems in the Building Industry |
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148 | (1) |
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7.5.1 Methodology and Objectives |
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148 | (1) |
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149 | (1) |
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7.5.2.1 Localization Performance |
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149 | (1) |
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7.6 Analyze the Importance of Indoor Air Quality on Variations of Electricity use in Housing Developments |
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149 | (2) |
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7.6.1 Test Bed Description |
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150 | (1) |
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150 | (1) |
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7.6.1.2 Hardware Configuration |
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150 | (1) |
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7.6.1.3 Arduino Sketch Upload |
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150 | (1) |
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150 | (1) |
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7.6.1.5 Load Monitoring and Data Capture |
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150 | (1) |
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7.6.1.6 Visual Observations |
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151 | (1) |
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7.7 Integrated Physiological Monitoring Status for the Evaluation of the Model between Emotional Exertion and Production for Road Construction |
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151 | (1) |
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151 | (1) |
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152 | (1) |
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7.7.2.1 Signal Processing |
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152 | (1) |
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7.8 Evaluation of Low-Carbon Building Techniques for Simulating the Dynamic Response |
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152 | (2) |
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153 | (1) |
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7.9 A Negative Emissions Building Adaptive, Context-Driven Evaluation Architecture |
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154 | (2) |
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7.9.1 Benchmarking for Building Energy Performance |
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154 | (1) |
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7.9.2 Dynamic and Context-Driven Benchmarking |
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155 | (1) |
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7.9.3 Framework Implementation |
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156 | (1) |
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7.10 Optimum Windows Selecting Radiation-Based Modeling |
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156 | (3) |
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7.10.1 Methods of the Model Development |
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157 | (1) |
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157 | (1) |
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7.10.2.1 Setup of Baseline Building Surface |
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157 | (1) |
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7.10.2.2 Metric Calculation |
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157 | (1) |
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158 | (3) |
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7.10.3.1 Window Subdivision |
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158 | (1) |
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7.10.3.2 Daylighting Simulation |
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158 | (1) |
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159 | (2) |
Chapter 8 Circuit Simulation and Design |
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161 | (34) |
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8.1 Evaluation of TKK CTL Circuit Simulation Occurrences |
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161 | (5) |
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8.1.1 Interconnect Modeling |
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162 | (1) |
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162 | (1) |
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8.1.3 Micromodel Realization |
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163 | (1) |
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8.1.4 Module and Circuitry Block Behavioral Modeling |
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163 | (3) |
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8.2 Outstanding Issues in Model Order Reduction |
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166 | (2) |
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8.2.1 Massively Coupled Systems |
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167 | (1) |
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167 | (1) |
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8.3 Projection-Based Framework |
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168 | (3) |
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8.3.1 Truncated Balanced Realizations |
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168 | (1) |
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8.3.2 PRIMA Projection Algorithm |
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169 | (1) |
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8.3.3 Input-Correlated TBR (PMTBR) |
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170 | (1) |
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8.3.4 Non-linear Positive Real Balancing |
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170 | (1) |
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8.3.5 Balancing of Nonlinear |
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170 | (1) |
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8.3.6 Model Reduction Truncation |
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171 | (1) |
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8.4 Efficient Activation of Electronic Component Models' Convolutional Neural Network Parameters |
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171 | (1) |
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8.4.1 Weight-Initialization Methods |
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172 | (1) |
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8.5 Non-linear Trajectory Linear Technique in Circuit Modeling for a Non-linear Differential Mathematical Model |
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172 | (3) |
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8.5.1 Linear Order Reduction Trajectory Pieceways |
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172 | (1) |
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8.5.2 Creating the Local Linearized Models |
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173 | (1) |
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8.5.3 Create a Significantly Decreased Subspace |
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174 | (1) |
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8.5.4 Creation of the TPWL Lowered the Weighted Principles Calculations |
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174 | (1) |
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8.6 MOR for ANSYS vs ROM Workstation Model Order Reducing for Massive Scale ODE Circuits |
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175 | (2) |
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177 | (1) |
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177 | (1) |
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8.6.3 Comparison between Both Algorithms |
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177 | (1) |
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8.7 Circuit Simulation Deputy Transient Sensitivity Analysis |
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177 | (2) |
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8.7.1 Transient Analyzes of Sensitivity |
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178 | (1) |
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8.8 Component Replacements Electricity Circuits Component Reducing Index |
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179 | (2) |
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8.8.1 Element Replacement |
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180 | (1) |
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181 | (1) |
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8.9 Use of 2D Non-uniform Quick Fourier Process Transformations Technology to Analyze the Micro-strip Insulated Circuitry |
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181 | (1) |
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182 | (1) |
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182 | (1) |
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8.10 A Filter Design Framework with Multi-criteria Optimization Based on a Genetic Algorithm |
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182 | (3) |
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8.10.1 Traditional Quantitative Measurements |
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183 | (1) |
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8.10.2 Multicriteria Optimization Function Design |
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183 | (1) |
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8.10.3 Multicriteria Optimization Genetic Algorithm |
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184 | (1) |
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8.11 Technique of Thermally Networking in Heavy Machinery Construction |
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185 | (2) |
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8.11.1 Thermal Networks Concept |
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185 | (1) |
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8.11.2 Hierarchical Thermal Networks Approach |
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186 | (1) |
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8.11.3 Modeling of Ventilation |
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186 | (1) |
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186 | (1) |
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8.11.3.2 Ventilation Networks |
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187 | (1) |
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8.11.3.3 Structural Thermal Network |
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187 | (1) |
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8.12 Hierarchical Mixed Multi-rating in Circuit Simulation |
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187 | (2) |
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187 | (1) |
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8.12.2 Compatibility of Master Nodes |
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188 | (1) |
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188 | (1) |
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8.12.4 Hierarchical Mixed Multi-rate |
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188 | (1) |
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8.13 Automatic Partitioning for Multi-rate Methods |
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189 | (1) |
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8.14 Multi-rate transient algorithm |
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190 | (1) |
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190 | (1) |
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8.14.2 The Optimal Partition |
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191 | (1) |
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8.15 Partitioning Algorithms |
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191 | (1) |
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8.16 Dynamically Changing Partitioning |
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191 | (2) |
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8.17 Simulation of Quasiperiodic Signals via Warped MPDAEs Using Houben's Approach |
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193 | (1) |
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8.17.1 Multidimensional Model |
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193 | (1) |
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193 | (1) |
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193 | (2) |
Chapter 9 Computational Electromagnetics |
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195 | (22) |
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9.1 Finite Integration Techniques RF & Microwave Simulations - From Individual to System Architecture |
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195 | (4) |
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9.1.1 The Minimum Technique for Algebraic Integration |
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195 | (1) |
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196 | (1) |
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9.1.3 Discretization Mesh Types |
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196 | (1) |
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9.1.4 Domain's Computations of Transmission and Reception |
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197 | (2) |
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9.2 Design and Simulation |
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199 | (4) |
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9.2.1 Specific Application Categories and Current Prospects |
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200 | (1) |
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9.2.2 The Energy Viewpoint in Computational Electromagnetics |
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200 | (3) |
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9.3 Newton and Newtonian Approximation Reflect the Increase with the Approach of Diagonal Final Integrations |
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203 | (1) |
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9.3.1 Discretization of the Maxwell Equations |
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203 | (1) |
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9.3.2 Assembling of a Matrix of Organizational Norms |
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203 | (1) |
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203 | (1) |
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203 | (1) |
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204 | (1) |
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9.4 Discharge Modelling of a Decisions Related Techniques Fixed Support |
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204 | (1) |
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9.4.1 Electromagnetic Model |
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204 | (1) |
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205 | (1) |
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9.5 Electrostatic On-Chip Models based on Dual Indefinite Integrated Technique, Reduced-Order |
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205 | (2) |
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9.5.1 The Numerical Method |
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206 | (1) |
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9.6 Approaches for Emi Filter Integrating Approximate Simultaneous Capacity |
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207 | (3) |
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208 | (2) |
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9.6.1.1 EPC of Coupled Windings |
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209 | (1) |
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9.7 Method of EM Wave Dispersion Applied to Buffered Block Forward Backward (BBFB) |
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210 | (2) |
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9.7.1 Integral Coupled Electric Field Equations for Homogeneity Dielectric Systems |
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211 | (1) |
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9.8 Finite Element Asymmetric Connectivity and Electroquasistic Field Simulations Boundary Integral Methods |
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212 | (1) |
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9.8.1 Electro-Quasistatic Field Domains Compression |
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212 | (1) |
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9.8.1.1 Electro-Quasistatic Fields of Transition |
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212 | (1) |
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9.8.2 Model Finite Element Problem |
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212 | (1) |
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9.8.3 Boundary-Element Formulation |
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213 | (1) |
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9.8.4 Symmetric FEM-BEM Coupling |
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213 | (1) |
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9.8.4.1 Continuous Formulation |
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213 | (1) |
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9.9 Hysteresis Price Modeling Computer Errors |
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213 | (2) |
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9.9.1 Experimental Evidence Produced Computer Mistakes |
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214 | (1) |
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215 | (1) |
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9.9.3 Testing of Preisach Model Accuracy |
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215 | (1) |
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215 | (2) |
Chapter 10 Mathematical and Computational Methods |
|
217 | (18) |
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10.1 Manifold Mapping for Multilevel Optimization |
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217 | (1) |
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10.1.1 Optimizing Fine and Rough Modeling |
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217 | (1) |
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10.2 Multilateral Optimized Electromagnetic Devices Software Program |
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218 | (3) |
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10.2.1 Optimum Multi-objective Designing Elitist |
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219 | (1) |
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10.2.2 The MOOP Integrated Software Package |
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219 | (1) |
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220 | (1) |
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10.3 Multi-objective Optimization of the Design of Unitary ESBT Devices |
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221 | (1) |
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10.3.1 The ESBT Connected with MOSFET Device |
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221 | (1) |
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10.4 Fast Optimum Optimization of the Construction of a Semi-conductor Related to Energy Transportation |
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222 | (1) |
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10.4.1 The Optimum Dilemma of Modeling and Development |
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222 | (1) |
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10.4.2 Fast Technique for Optimization and Quantitative Modeling |
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223 | (1) |
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10.5 Extended Hydrodynamical Models for Charge Transport in SI |
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223 | (1) |
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10.6 Concerning the Development of a 3D Mesh Project Focused Upon Delaunay |
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|
224 | (4) |
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10.6.1 Delaunay Refinement |
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225 | (1) |
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10.6.2 Delaunay Tetramerization |
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225 | (1) |
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10.6.3 Predictions of Geometrical Topology |
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225 | (1) |
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10.6.4 Coordinates Mesh Data-Structures |
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226 | (1) |
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10.6.5 Detached Refining Elements |
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226 | (1) |
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10.6.6 Splitting Encroached Elements |
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226 | (1) |
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10.6.7 Representation of Globalized Facets |
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227 | (1) |
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10.6.8 Dynamically Modified Bookkeeping |
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227 | (1) |
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10.6.9 Point Set Location |
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227 | (1) |
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10.7 Non-linear Possible Issue Coupling FETI/BETI Solvers in (UN) Constrained Conditions |
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228 | (1) |
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10.8 A Hierarchy Pre-conditioner in Electromagnetic Electricity Coupled BE-FE |
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229 | (1) |
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10.8.1 Band Linear Systems Solution in VSLI Model Reduction |
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229 | (1) |
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10.9 MOESP Algorithm for Converting One-Dimensional Maxwell Equation into a Linear System |
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|
230 | (1) |
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10.9.1 Definition of the Problem |
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230 | (1) |
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230 | (1) |
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230 | (1) |
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10.10 Transient Noise Analysis Adaptive Methods |
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231 | (1) |
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10.10.1 Adaptive Numerical Methods |
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231 | (1) |
|
10.11 Efficient Performance in Grid Architectures with Distributed Software Activities |
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|
232 | (1) |
|
10.11.1 Implementation Paradigm for Professional for a Series of Projects |
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|
232 | (1) |
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10.11.2 Implementation of Worker Model |
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|
233 | (1) |
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233 | (2) |
Chapter 11 Basic Chipper Design in Electronic Computing |
|
235 | (30) |
|
11.1 On the Testing of a Differentially Stimulated Engine |
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|
235 | (2) |
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|
235 | (1) |
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11.1.2 Polynomial Representation |
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|
236 | (1) |
|
11.1.3 Non-linear Observatory |
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|
236 | (1) |
|
11.1.4 Predictive Model Controller |
|
|
237 | (1) |
|
11.1.5 Digital Positioning Rotor |
|
|
237 | (1) |
|
11.1.6 DC Motor Power Converter |
|
|
237 | (1) |
|
11.2 Mash Digital Delta-Sigma Modulator with Multi-Moduli |
|
|
237 | (1) |
|
11.2.1 MASH Architectures |
|
|
237 | (1) |
|
11.2.2 Fractional-N Modulation Scheme |
|
|
238 | (1) |
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|
238 | (1) |
|
11.3 Sensorless PM-Drive Aspects |
|
|
238 | (1) |
|
11.3.1 Testing of Power Signals |
|
|
239 | (1) |
|
11.4 Micro-Accelerometer Silicone Resonant Technology Relies on Electromagnetic Robustness |
|
|
239 | (2) |
|
11.4.1 Operating Principle |
|
|
239 | (1) |
|
11.4.2 Theory Analysis Unfolded Beams |
|
|
240 | (1) |
|
11.4.3 Structure of Sensor Design |
|
|
240 | (1) |
|
11.5 Innovative Dual-Pulse Amplifier Driver Extended MEMS Switch Durability Use |
|
|
241 | (1) |
|
11.5.1 Dielectric Tunneling Charging |
|
|
241 | (1) |
|
11.5.2 Dielectric Charging Mathematical Model |
|
|
241 | (1) |
|
11.5.3 Equivalent Circuit Model |
|
|
241 | (1) |
|
11.5.4 Dual-Pulse Actuation Signal |
|
|
241 | (1) |
|
11.6 Optimal Control of Full Envelope Helicopter |
|
|
242 | (1) |
|
11.6.1 Manual Control of Helicopter |
|
|
242 | (1) |
|
11.6.2 Coordinate Frames and Transformations |
|
|
242 | (1) |
|
11.6.3 Motion Dynamic Equations |
|
|
242 | (1) |
|
11.6.4 Kinematic Equations |
|
|
242 | (1) |
|
11.6.5 Force and Moments Acting on Helicopter |
|
|
242 | (1) |
|
11.6.6 Trimming and Linearization |
|
|
242 | (1) |
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|
243 | (1) |
|
11.6.8 Microcontroller for Feedback Linearization |
|
|
243 | (1) |
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|
243 | (1) |
|
11.7 Accurate Motor Induction Parameter Evaluation |
|
|
243 | (2) |
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|
244 | (1) |
|
11.7.2 Parameters Determination |
|
|
244 | (1) |
|
11.7.2.1 Core Loss Measurements or Estimate |
|
|
244 | (1) |
|
11.7.2.2 Measurement or Estimation of Friction Losses |
|
|
244 | (1) |
|
11.7.2.3 Stray-Load Loss Calculation |
|
|
244 | (1) |
|
11.7.2.4 Stator Resistance Estimation |
|
|
244 | (1) |
|
11.8 Squirrel Cage Rotor Bars Broken-Simulation Models |
|
|
245 | (1) |
|
11.8.1 Model of Stator Winding |
|
|
245 | (1) |
|
11.8.2 Model of Rotor Winding |
|
|
246 | (1) |
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|
246 | (1) |
|
11.8.4 Investigated Machine |
|
|
246 | (1) |
|
11.9 Large Chipper Drive Many Designs |
|
|
246 | (1) |
|
11.9.1 Rotor Rheostat Slip Ring Engine |
|
|
247 | (1) |
|
11.10 Macrocell Location: Flow Guided by a Force |
|
|
247 | (2) |
|
|
248 | (1) |
|
11.10.2 Standard Cells Versus Macro-Cells |
|
|
248 | (1) |
|
11.10.3 Force Directed Graph Drawing Algorithms |
|
|
248 | (1) |
|
11.11 Surface Roughness Scattering in MOS Structures |
|
|
249 | (1) |
|
11.11.1 Associated Scattering Potentials |
|
|
249 | (1) |
|
11.11.2 Relative Strength of the Scattering Potentials |
|
|
249 | (1) |
|
11.11.3 Remote Surface Roughness Scattering |
|
|
249 | (1) |
|
11.12 A New Hybrid Recurring Mixed Frequency Domain Equalizer for Digital Communications |
|
|
249 | (1) |
|
11.12.1 Proposed Hybrid Recurrent Neural Equalizer |
|
|
250 | (1) |
|
11.12.2 Hybrid Neural Training Algorithm Training |
|
|
250 | (1) |
|
11.13 Integration of Crossed Cube Interconnection Networks |
|
|
250 | (1) |
|
11.13.1 Embedding Complete Binary Trees |
|
|
250 | (1) |
|
|
251 | (1) |
|
11.14 Fault-Tolerant Software: A Technique That Has a Component |
|
|
251 | (1) |
|
11.14.1 ROC Detection Approach and Recovery Based on Believability |
|
|
251 | (1) |
|
11.14.2 Aspect-Oriented Exception Handling Patterns |
|
|
251 | (1) |
|
11.14.3 Error Component of Identification and Exclusion |
|
|
252 | (1) |
|
11.15 AN Adaptation Uncertain Audio Multibiometric System |
|
|
252 | (1) |
|
11.15.1 Support Vector Machine Classifier |
|
|
252 | (1) |
|
11.15.2 Visual Front-End Subsystem |
|
|
253 | (1) |
|
11.15.3 Front-End Subsystem Audio Component |
|
|
253 | (1) |
|
11.16 Hardware Virtualization Design and Implementation Using a Purely Hardware-Assisted VMM |
|
|
253 | (1) |
|
11.16.1 Hardware Virtualization |
|
|
253 | (1) |
|
11.16.2 86 Architectural Limitations |
|
|
253 | (1) |
|
11.16.3 AMD SVM Architectural Extensions |
|
|
253 | (1) |
|
11.16.4 The Hardware-Assisted Virtual Machine Monitor |
|
|
254 | (1) |
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|
254 | (1) |
|
11.17 Prediction of Quality of Metrics-Driven Software without Fault Data |
|
|
254 | (1) |
|
|
255 | (1) |
|
11.17.1.1 Clustering Basics |
|
|
255 | (1) |
|
11.17.2 Clustering Algorithms |
|
|
255 | (1) |
|
|
255 | (1) |
|
11.18 Heterogeneous Embedded Software Computing Models |
|
|
255 | (1) |
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|
255 | (1) |
|
11.19 System-Level Design and Development |
|
|
256 | (1) |
|
11.19.1 System-Level Design Approaches |
|
|
256 | (1) |
|
11.20 Co-Design of Hardware/Software |
|
|
257 | (1) |
|
11.20.1 Specification and Modeling |
|
|
257 | (1) |
|
11.20.2 Design and Refinement |
|
|
257 | (1) |
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|
257 | (1) |
|
11.21 Modeling and Specification |
|
|
257 | (2) |
|
11.21.1 Computation Models |
|
|
257 | (2) |
|
11.21.1.1 Model of Finite State Machines (FSM) |
|
|
258 | (1) |
|
11.21.1.2 Discrete-Event Systems |
|
|
258 | (1) |
|
11.21.1.3 Petri Nets Simulation |
|
|
258 | (1) |
|
11.21.1.4 Data Flow Graphs |
|
|
258 | (1) |
|
11.21.1.5 Sync/Reactive Modeling |
|
|
259 | (1) |
|
11.21.1.6 Heterogeneous Models |
|
|
259 | (1) |
|
11.22 A Differential Diagram for Reflecting Petrine Object Recognition |
|
|
259 | (1) |
|
11.22.1 WN's Basic Notions |
|
|
259 | (1) |
|
11.22.2 Reflective Petri Nets Layout |
|
|
260 | (1) |
|
11.22.3 Handling State Transition |
|
|
260 | (1) |
|
11.23 The Dynamic Philosophers Example |
|
|
260 | (1) |
|
11.24 Use of Real-Time Hardware Xilinx Embedded System Graphics Processing System Co-Simulation |
|
|
261 | (2) |
|
11.24.1 Xilinx System Generators Design and Analysis for FPGA Implementation |
|
|
261 | (1) |
|
11.24.2 Hardware Description Language (HDL) Modules |
|
|
261 | (1) |
|
11.24.3 YCbCr Color Model |
|
|
262 | (1) |
|
|
263 | (2) |
Chapter 12 Demographic and Principles of Electronic Computing |
|
265 | (26) |
|
12.1 Differentiation Using Neural Networks and Linear Regression Based on Perception and Traffic |
|
|
265 | (2) |
|
12.1.1 The Road Traffic Congestion Estimation |
|
|
265 | (1) |
|
12.1.2 Collection of Data Sets Tools and Techniques |
|
|
266 | (1) |
|
12.1.3 Data Classification |
|
|
266 | (1) |
|
12.2 RDF an Ontological Mobile Malware String Architectural Design: Testing and Assessment |
|
|
267 | (3) |
|
12.2.1 Data Validation Process |
|
|
268 | (1) |
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|
268 | (1) |
|
12.2.3 Functional Overview |
|
|
268 | (1) |
|
12.2.4 Overview of the Framework Architecture |
|
|
269 | (1) |
|
12.3 Identification of Vehicle Moving Movement's Road Congestion Concentrations: Comparative among Artificial Neural Network and Data Mining Algorithms |
|
|
270 | (3) |
|
12.3.1 Empirical Evidence Gathering |
|
|
271 | (1) |
|
12.3.1.1 Balancing Class Distributions |
|
|
271 | (1) |
|
12.3.2 Data Classifications |
|
|
271 | (1) |
|
12.3.3 Sparely Populated Shared Memory Encoding Data to Be Used |
|
|
271 | (1) |
|
12.3.4 Sparse Distributed Memories |
|
|
272 | (1) |
|
12.3.5 Binary Codes and Distances |
|
|
272 | (1) |
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|
272 | (1) |
|
12.4 A Suggestion for the Integration of Artificial and Formal Logic |
|
|
273 | (1) |
|
12.4.1 Conceptual Logic Theory |
|
|
273 | (1) |
|
12.4.2 Structure of Prototype |
|
|
273 | (1) |
|
12.4.3 A Feedforward Neural Network |
|
|
274 | (1) |
|
12.4.4 The Dover Tides Predict |
|
|
274 | (1) |
|
12.5 A Portfolio Management Clustering Application |
|
|
274 | (1) |
|
12.5.1 The Optimization Problem |
|
|
275 | (1) |
|
12.5.2 The Markowitz MVP Allocation |
|
|
275 | (1) |
|
12.5.3 The Revised Allocation for Tobin Tangency |
|
|
275 | (1) |
|
12.6 A Multi-Target Strategy to an Optimum Management Strategy in an IMS-QSE |
|
|
275 | (2) |
|
12.6.1 New Process-Based Approach |
|
|
276 | (1) |
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|
276 | (1) |
|
12.6.2 Quality Protection Systems |
|
|
277 | (1) |
|
12.7 Geospatial Topographical Relationships for Infinite-Dimensional Circular Spaces |
|
|
277 | (1) |
|
12.7.1 Qualitative Spatial Reasoning |
|
|
277 | (1) |
|
12.7.2 Direction Spatial Relations |
|
|
277 | (1) |
|
12.7.3 Distance Spatial Relations |
|
|
277 | (1) |
|
12.8 Geographical Neighbors for Topographical Spatial Objects: The Multiple Scales Spherical Multidimensional Space Instance |
|
|
278 | (1) |
|
12.8.1 Neighborhood Conceptualization Statistics: Model Snapshot |
|
|
278 | (1) |
|
12.9 Multi-Agent Exploration Inside Structural Collapses |
|
|
278 | (2) |
|
12.9.1 Conversion to the Simulated World |
|
|
279 | (1) |
|
12.9.2 Simulated Agent Tasks |
|
|
279 | (1) |
|
12.9.3 2D Search Field Simulated |
|
|
280 | (1) |
|
12.10 Diagnosis Communication Style by the Use of Concepts of the Neuro-Fuzzy, Evolutionary Algorithms, and Quantum Mechanics |
|
|
280 | (1) |
|
12.10.1 Neuro-Fuzzy Network Module |
|
|
281 | (1) |
|
12.11 The New Measure of Robust Principal Component Analysis |
|
|
281 | (1) |
|
12.11.1 The Classical Principal Component Analysis (PCA) |
|
|
282 | (1) |
|
12.12 The Effects of Demographics Differentiations on Authorship Identification |
|
|
282 | (1) |
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283 | (1) |
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283 | (1) |
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12.13 Anonymous ID Assignment and OPT-OUT |
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283 | (1) |
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12.13.1 AIDA-D - Decentralized Anonymous Algorithm |
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284 | (1) |
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12.13.2 Performance Analysis |
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284 | (1) |
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12.14 Optimized k-Means Algorithm for Clustering of Biological Data |
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284 | (1) |
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12.14.1 k-Means Clustering Algorithm |
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285 | (1) |
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12.14.2 Computational Complexity |
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285 | (1) |
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12.15 The Levy Method and Applicability to Financing Ornstein-Uhlenbeck Processes |
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285 | (1) |
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12.15.1 Ornstein-Uhlenbeck Processes |
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286 | (1) |
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12.16 A New Territory Covering Categorization for Aerial Pictures: The Combination of Extended Reliance Tree-HMM and Uncontrolled Segmented |
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286 | (3) |
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12.16.1 Extended Dependency Tree-Hidden Markov Models |
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287 | (1) |
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12.16.2 Classification Scheme |
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287 | (1) |
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12.16.3 Image Unsupervised Segmentation |
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288 | (1) |
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12.16.4 Window Size Computation |
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288 | (1) |
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12.16.5 Pre-Classification Photograph |
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288 | (1) |
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12.16.6 Classification Correction |
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288 | (1) |
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289 | (2) |
Chapter 13 Rehabilitation Computing in Electronic Computing |
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291 | (48) |
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13.1 Applying View Models in SOA |
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291 | (4) |
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291 | (1) |
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13.1.2 Applying the "4 C 1" View Model |
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292 | (2) |
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13.1.3 Applying SOA Specific Models |
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294 | (1) |
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294 | (1) |
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13.1.4 Useful Elements from Other View Models |
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295 | (1) |
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13.1.4.1 RM-ODP, the Perspectives for Distributed Processing |
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295 | (1) |
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13.1.4.2 The SEI Viewpoint Model: "Views and Beyond" |
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295 | (1) |
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13.2 Independent and Centralized Opportunities to Showcase Actuator Network Optimum Worth Remembering |
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295 | (2) |
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13.2.1 Sample Frequency Calculation |
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296 | (1) |
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13.2.2 Autonomous Network |
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297 | (1) |
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13.3 Wi-Fi Point-to-Point Links: Performance Aspects of IEEE 802.11 |
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297 | (1) |
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13.4 Underground Telecommunications System That Is Based on a Subnet Transfer Scheme |
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298 | (3) |
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13.4.1 Principle of Subnet Handover Scheme |
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299 | (1) |
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13.4.2 Gateway Model on L3 STA |
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300 | (1) |
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13.4.3 The Reused Tunnel Model |
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300 | (1) |
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13.4.4 The Subnet-Based Communication System |
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300 | (1) |
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13.4.5 The Vehicle Subsystem |
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300 | (1) |
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13.4.6 The Central Control Subsystem |
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301 | (1) |
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13.4.7 The Roaming Subsystem |
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301 | (1) |
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13.5 Promespar: A Maximum Performance PROMES Regions Atmosphere Modeling Results |
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301 | (2) |
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13.5.1 The Regional Atmospheric Model PROMES |
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302 | (1) |
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13.6 Decreased Linux Adapter for Dolphins' SCI and DX Transparent Connectivity |
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303 | (2) |
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13.6.1 Dolphin's High-Speed Interconnects |
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303 | (1) |
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13.6.2 Scalable Coherent Interface (SCI) |
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304 | (1) |
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304 | (1) |
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13.6.4 Dolphin Software Stack |
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304 | (1) |
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13.7 Architecture of ETHOM |
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305 | (1) |
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305 | (1) |
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13.7.2 Connection Establishment |
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305 | (1) |
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13.7.3 Communication Phase |
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305 | (1) |
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13.8 Dyslipidemia Effect on a Fundamental Architectural Characteristic Mediated Dilation from Photographic Plethysmography |
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306 | (1) |
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13.8.1 Vascular Endothelial Dysfunction |
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306 | (1) |
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13.8.2 Flow-Mediated Dilation |
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306 | (1) |
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307 | (1) |
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13.9 Two-Dimensional Electric Resistance Study of the Generalized Solutions |
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307 | (1) |
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13.10 Bio-Application of a Large-Field Photoluminescence Microscopy for the Cell/Surface Investigation and the Effects of TGF-3, HCL and BSA/HCL in the Bone Monolayer Cell Separation Testing |
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308 | (1) |
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13.11 Implementation of a Novel, Broad Field Optical Absorption Microscope in TGF-3, BSA/HCL Cultivated Human Bone Cell Monolayers and Microencapsulation Characteristics |
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309 | (2) |
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310 | (1) |
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13.11.2 SP Substrate Preparation |
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310 | (1) |
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310 | (1) |
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13.12 Speech Rehabilitation Methods for Laryngectomies Patients |
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311 | (2) |
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13.12.1 Esophageal Speech |
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312 | (1) |
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13.12.2 Tracheesophageal Puncture (TEP) |
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312 | (1) |
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312 | (1) |
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13.12.4 Whispered and Phonated Speech |
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313 | (1) |
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13.12.5 Speech Regeneration |
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313 | (1) |
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13.13 Investigation of Glass Micropipette Tip Microstructures and Giga-Seal Effects |
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313 | (2) |
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13.13.1 3D Reconstruction of Micropipette Tip |
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314 | (1) |
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13.13.2 Effect of Canned Cycles on Drilled Whole Quality |
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314 | (1) |
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13.13.3 Drilling Canned Cycle |
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314 | (1) |
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13.14 Aqua Base Sterling Silver Slurry Micro Machining Pieces |
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315 | (1) |
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13.14.1 SU-8 Master Molds and Their Negative Replicas |
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315 | (1) |
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13.14.2 Preparing Stainless Steel Slurry |
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316 | (1) |
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13.14.3 De-Binding and Sintering |
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316 | (1) |
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13.15 Explanation of the Voxel-Based Element for Electronic Properties |
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316 | (2) |
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317 | (1) |
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13.15.2 Component Construction |
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317 | (1) |
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13.16 Contrast-Enhanced Evaluation of Pipelines Applications Drift Flux Estimates |
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318 | (1) |
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13.16.1 Application to a Vertical Pipe Considering the Buoyancy Effect |
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318 | (1) |
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13.16.2 Drift Flux Models as Applied to Wear Rate in Horizontal Pipelines |
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318 | (1) |
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13.16.3 The Continuous Model |
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318 | (1) |
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13.16.4 Particle Equation of Motion |
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318 | (1) |
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13.17 Condition Monitoring Frequencies Influence the Effectiveness of Manufacturing Industries |
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319 | (1) |
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13.17.1 Economic Optimization of Preventive Maintenance Schedule |
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319 | (1) |
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13.17.2 Queuing Models for Unreliable Machines |
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319 | (1) |
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13.18 On the Number of Thin-Wall Grinding Instability Predictions |
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320 | (1) |
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13.19 Risk Management of ERP SMES Infrastructure Development |
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320 | (2) |
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13.19.1 Main Characteristics of ERP Projects |
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321 | (1) |
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321 | (1) |
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13.20 Risk Management Tools |
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322 | (2) |
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13.20.1 Risk Analysis Method |
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322 | (1) |
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13.20.2 Characteristics Analysis Method |
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322 | (1) |
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13.20.3 Product Data Management |
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323 | (1) |
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323 | (1) |
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13.21 Sleeping in the Economic Class Aircraft Customer Sitting Position Analysis |
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|
324 | (2) |
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324 | (1) |
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13.21.2 Relationship of Subjective Method to Comfort and Discomfort |
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325 | (1) |
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13.21.3 Observation on Sleeping Posture |
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325 | (1) |
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13.21.4 Objective Analysis on Sitting Posture While Sleeping |
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326 | (1) |
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326 | (1) |
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327 | (12) |
Index |
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339 | |