Computer Applications in Engineering and Management
- Length: 340 pages
- Edition: 1
- Language: English
- Publisher: Chapman & Hall
- Publication Date: 2022-04-08
- ISBN-10: 1032078820
- ISBN-13: 9781032078823
- Sales Rank: #0 (See Top 100 Books)
The book Computer Applications in Engineering and Management is about computer applications in management, electrical engineering, electronics engineering, and civil engineering. It covers the software tools for office automation, introduces the basic concepts of database management, and provides an overview about the concepts of data communication, internet, and e-commerce. Additionally, the book explains the principles of computing management used in construction of buildings in civil engineering and the role of computers in power grid automation in electronics engineering.
Features
- Provides an insight to prospective research and application areas related to industry and technology
- Includes industry-based inputs
- Provides a hands-on approach for readers of the book to practice and assimilate learning
This book is primarily aimed at undergraduates and graduates in computer science, information technology, civil engineering, electronics and electrical engineering, management, academicians, and research scholars.
Cover Half Title Series Page Title Page Copyright Page Table of Contents Preface Authors Chapter 1 Introduction of Management, Civil, Electrical and Electronic (MCEE) in Computers 1.1 Introduction 1.2 Management Computing 1.2.1 Modes of Data Processing 1.2.2 Online Processing 1.2.3 Real-Time Processing 1.2.4 Distributed Data Processing 1.2.5 Basic Functions of Data Processing 1.2.6 Application Portfolio Development 1.2.7 Characteristics of Portfolio-Based IT Management 1.2.8 Management of Data Processing Systems in Business Organizations 1.2.9 Computerized Financial Accounting System (FAS) 1.2.10 Computerized Inventory Control System 1.2.11 Computerized Payroll System 1.2.12 Computerized Invoicing System 1.2.12.1 Processing Steps 1.3 Civil Computing 1.3.1 Computing Simulated Simulations Engineering Application 1.3.2 Application of CAD System 1.4 Electrical Computing 1.4.1 Remote Control Structures 1.4.2 Example of Remote Laboratory 1.5 Electronic Computing 1.5.1 Detailed Study 1.5.2 Performance Model 1.5.2.1 Storage Access Time 1.5.2.2 Waiting Time 1.6 Conclusion Chapter 2 Management Cost Computing 2.1 Web-Based Built Cost Prediction Integrated System 2.1.1 Cost Analysis Based on FCE and RS Project Construction 2.1.1.1 FCE Infrastructure Cost 2.1.2 Theory of Rough Sets 2.1.3 ANN Based on PSO 2.1.4 Conceptualization of Internet-Based Cost Prediction 2.2 Research of Corporate Credit-Based Computing 2.2.1 Financing Dealing 2.2.2 Regression Analysis of Principal Component Analysis 2.2.3 Analysis of Corporate Credit Risk 2.3 Evaluation of Industrial Parks Industrial Transformations and Environmental 2.3.1 Industrial Transformation Patterns and Environmental Parks Reform 2.3.2 Technological Restructuring Assessment and Sustainability Reformation Updated by MATLAB Program Based on Analytic Hierarchy Process 2.4 Integrating Framework Based on Embedding Equipment Monitoring Systems 2.4.1 Overview on MIC 2.4.2 System Architecture 2.4.3 An Instance of MIC Systems Integration 2.5 Processing and Analysis and Mathematical Modeling of Two-Stage Estimate Method 2.5.1 The Mathematical Model 2.5.2 Method of Evaluation and Completion of the Modeling 2.5.3 Hat Matrix and Fitted Values 2.5.4 Selection of Frequency 2.5.5 Simulation Techniques 2.6 Development and Realization of Parallelism Reduced Power Parallel E0 Algorithms 2.6.1 Description of E0 Algorithm 2.6.2 Design for Low-Power Consumption 2.6.3 Simultaneous Infinitely Customizable E0 Algorithm Low Power Structure 2.6.4 Performance Assessment and Comparisons 2.7 Conclusion Chapter 3 Management Rule Mining Computing 3.1 Association Rules Mining Algorithms 3.1.1 Basic Principles of Association Rules 3.1.2 Rules of Association 3.1.2.1 Improving the Algorithm to Increase Mining Efficiency 3.1.2.2 Suggest New Algorithms to Enlarge the Classification Models 3.1.2.3 Rules of General Association 3.1.2.4 Quantitative Association Rules 3.1.2.5 Fuzzy Association Rules 3.1.2.6 Rare Association Rules 3.1.2.7 Other Association Rules 3.1.3 Integration and Classification of Association Rules 3.1.4 Parameter Research such as Support and Trust 3.2 Application to Building Coolant Charge of Rough Set Theory and Fuzzy LS-SVM 3.2.1 Basic Principle of RST and Fuzzy LS-SVM 3.2.2 RST- and Fuzzy-LS-SVM-Based Data Preparation 3.2.3 Comparative Analysis of Cooling 3.3 An Efficient Algorithm for Feature Extraction, Dynamic Load Balancing Clonal Genetic Optimization Technique 3.3.1 Combinatorial Optimization Approach 3.3.2 HCSGA Algorithm 3.3.3 MATLAB Implementation 3.4 Clone Particle Selection Swarm Optimizing Power Demand Estimates Based on BP Neural Network 3.4.1 Estimation of Generating Capacity 3.4.2 The Artificial Neural Network Learning Process Is Based on the Swarm Algorithm of Clone Selection (CSPSO-BP) 3.4.3 Power Demand Forecast 3.4.4 Service Building Emergency Management Sharing Platform 3.4.5 Emergency Management 3.4.6 Architecture of Messaging Protocol 3.4.6.1 Basic Components 3.4.6.2 Indicator Management 3.4.6.3 IQ Data Navigation 3.4.7 Component Design 3.4.7.1 Quality Service 3.4.7.2 Statistics Service 3.4.7.3 Catalog Service 3.4.7.4 Earthquake Client Application 3.5 A Criminal Investigation Interactive Intelligent Analysis 3.5.1 Principle of Knowledge Mapping 3.5.2 Interactive Intelligent Analysis Systems 3.5.2.1 Establishment of Cooperative Relational Database 3.5.2.2 Intuitionistic Fuzzy Learning System 3.5.2.3 An Examples Reasoning Approach 3.6 Conclusion Chapter 4 Quality Learning Management Computing 4.1 Performance Measurement Using Part of This Growing Evaluation of the Cloud-Based Education 4.1.1 Quality Evaluation Criteria 4.1.1.1 Relevance 4.1.2 Interpretation 4.1.3 Knowledge Actions Analytical Performance Evaluation 4.1.4 Refection Evaluation 4.1.5 Evaluation of Tutor Support 4.1.6 Case Study and Discussion 4.2 Investigation on Averaging Grayscale Biometric Authentication 4.2.1 Image Pre-Processing 4.2.2 Feature Vector 4.2.3 Innovative Vector Approach 4.2.4 Algorithm Analysis Feature Extraction 4.3 The Active Leveled Interest Management in Distributed Virtual Environment 4.3.1 AMINET 4.3.2 Leveled Interest Management 4.3.3 Active Leveled Interest Management 4.4 Mono-Face Extraction and Parameterization of the Eye Contour 4.4.1 Face Segmentation 4.4.2 Face Normalization 4.4.3 Eye Contour Extraction 4.4.4 Parameterization of the Eye Contour 4.5 Container Terminal Logistics System Modeling and Simulation Study 4.5.1 Logistics System Modeling Technology 4.5.1.1 Oversea Review 4.5.1.2 Technologies for Numerical Simulation 4.5.1.3 Models 4.5.1.4 Primary Coverage and Key Problem 4.5.2 Verification Validation and Accreditation 4.5.2.1 Review 4.5.2.2 Primary Coverage and Key Problem 4.5.3 Test and Design Screening Robust 4.5.3.1 Critical Screening Review 4.5.3.2 Robust Review 4.5.3.3 Screen Primary Coverage and Fundamental Problem 4.5.3.4 Principal Reporting and Substantial Real Problem 4.6 Lasers Speedy Prototype Digitized Contour Line Mapping 4.6.1 Principle Comparing of SLS, SL, and LOM 4.6.2 Digitalized Contour Line Scanning 4.6.3 Scanning of Laser Beam 4.7 Using Wavelet Coefficient Fitting, 3D Surface Texture Synthesis 4.7.1 Use Wavelet Polynomial Approximation New Texture Fabrication 4.7.1.1 Discrete Wavelet Transform 4.7.1.2 Use of the Wavelet Coefficient for the Novel Materials Synthesizing 4.7.2 3D Fabrication Machined Surface Reproduction and Reflecting 4.7.2.1 Gradient Method Mathematics Foundation 4.8 Consolidated Block-Based Features Extraction Cutting Algorithms 4.8.1 Block-Based Normalized Cut 4.8.2 Parameter Selection 4.9 Composing Framework Depends on Particle Swarm Optimization Semantic and Syntactic Web Service Element 4.9.1 Weekends Service Web Feature Method of Composition 4.10 Conclusion Chapter 5 Mas-Based Data Modeling in Civil Engineering 5.1 Autonomous Sensor Taxonomies Assessment to Support Field Data Collection with Signal Processing Techniques 5.1.1 Initial Requirements for Representing DAQ Tools 5.1.2 Evaluation of Relevant Sensor Ontologies 5.1.3 Comparison of Sensor Ontologies for Supporting the Mapping of DAQ Tools to Field Data 5.2 i-Con: Geometrical Topology Based on a Semiotic Foundation for the Semantic Representation of Prefabricated Structures 5.2.1 Granularity 5.2.2 Reasoning and Affordances 5.2.3 Reasoning on Virtual Building Components 5.2.4 Mediation 5.3 A Technique to Automatic Segmentation of Workers’ Measures for Psychological Profiling 5.3.1 Data Collection 5.3.2 Motion Classification 5.4 An Integration Framework for the Decisions on Constructions Using Case-Based Reasoning 5.4.1 Expert systems 5.4.2 Expert System Using Case-Based Reasoning 5.5 Construction and Safety of an Emerging Educational Environment through the Merger of Competitive Matches and 4D Plan 5.5.1 State of the Art in the Construction Industry 5.5.2 Serious Games and H&S Training 5.5.3 Sandbox Environments and Mission Hubs 5.5.4 Design of the Virtual Environment 5.6 Communicating Devices Based on an Independent Landslide Monitoring Program 5.6.1 Slope Failure Forecasting 5.6.2 Autonomous Landslide Monitoring System 5.6.3 Laboratory Tests 5.7 A Combining for a Time-Efficient Assessment of a Simulation Studio in Structural Engineering: Colored Petri-Net and Multi-Agents 5.7.1 Simulation Model 5.7.2 Simulation Framework 5.8 Conclusion Chapter 6 Automated Building Information System in Civil 6.1 Recovery of the 3D Structure of the Inefficiently Generated Infrastructure Scenery 6.1.1 Background 6.2 Innovative Approaches to Computerized Civil Infrastructure Selecting Key Image Sequences 6.2.1 Automated Key Video Frames Extraction: Proposed Methodology 6.3 BIM-Enabled Building Commissioning and Handover 6.3.1 The Commissioning Process 6.3.2 BIM for the Construction and Transition of Buildings 6.4 Semanic Interchange Modules Customizable Models for the Precast AND/OR Pre-stressed Concrete Industry (SEM) 6.4.1 Semantic Exchange Modules (SEMs) 6.4.2 SEM Library Structure 6.4.3 Generation of SEM Model View 6.4.3.1 Process 6.4.4 Future Scope 6.5 The Difficulty of Building Regulations Computerization 6.5.1 Nature of Human Languages 6.5.2 Modeling Languages 6.5.3 Building Codes Computable Model 6.6 An Experimental Platform for Building Information Research 6.6.1 Common Model Server Platform 6.6.2 Common Model Checking Engine 6.7 Use among Building Owners and Requirements 6.7.1 BIM Adoption by Building Owners 6.7.2 Potential Benefits of BIM to Owners 6.7.3 BIM Execution Trends among Building Owners 6.7.4 Perceived Difficulties in BIM Adoption for Owners 6.8 Maintenance Knowledge a BIM Databases Enhanced Service 6.8.1 Methodology 6.8.2 Case Study 6.9 Building Information Model Systems Semiotic Analysis 6.9.1 A Semi-contained Approach for Describing Representations of Spatial Analysis 6.9.2 Research Method 6.9.3 Mode 1: Generating a 4D Model 6.9.4 Mode 2: Dynamically Representing the Process Visualization 6.10 Physiological Worker Load Assessment with Embedded Devices 6.10.1 Methodology 6.10.2 Test Description 6.11 Conclusion Chapter 7 Infrastructure Monitoring and Sustainable Building and Construction in Civil 7.1 A Combination Model-Free Technique for Feasibility Study during Ongoing Intelligent Building Surveillance 7.1.1 Introduction 7.1.2 Methodology 7.2 A New Approach to Non-intrusive Street Lighting Load Monitoring in Housing Developments 7.2.1 Load Monitoring Background 7.2.2 Proposed Vision 7.3 A New Vision-Based Technique to Cracking Characterization by Integrating Knowledge to Understand With Structural Evaluation 7.3.1 Crack Quantification 7.3.1.1 The Proposed Approach 7.3.1.2 Unit Length Conversion Using 3D Scene Reconstruction 7.3.1.3 Perspective Error Compensation 7.4 Pothole Properties Measurement through Visual 2D Recognition and 3D Reconstruction 7.4.1 Current Pavement Evaluation Technique 7.4.1.1 Current Research State in the Detecting of Potholes 7.4.2 Sparse 3D 7.4.2.1 2D Video Stream Potholes Recognition 7.4.2.2 3D Sparse Approximation of the Road Surfaces 7.5 Assessing Indoor Smartphone Location Strategies to Improve Embedded Systems in the Building Industry 7.5.1 Methodology and Objectives 7.5.2 Findings KNN 7.5.2.1 Localization Performance 7.6 Analyze the Importance of Indoor Air Quality on Variations of Electricity use in Housing Developments 7.6.1 Test Bed Description 7.6.1.1 Setup 7.6.1.2 Hardware Configuration 7.6.1.3 Arduino Sketch Upload 7.6.1.4 Calibration 7.6.1.5 Load Monitoring and Data Capture 7.6.1.6 Visual Observations 7.7 Integrated Physiological Monitoring Status for the Evaluation of the Model between Emotional Exertion and Production for Road Construction 7.7.1 Method 7.7.2 Regression Models 7.7.2.1 Signal Processing 7.8 Evaluation of Low-Carbon Building Techniques for Simulating the Dynamic Response 7.8.1 SD Model 7.9 A Negative Emissions Building Adaptive, Context-Driven Evaluation Architecture 7.9.1 Benchmarking for Building Energy Performance 7.9.2 Dynamic and Context-Driven Benchmarking 7.9.3 Framework Implementation 7.10 Optimum Windows Selecting Radiation-Based Modeling 7.10.1 Methods of the Model Development 7.10.2 Model I 7.10.2.1 Setup of Baseline Building Surface 7.10.2.2 Metric Calculation 7.10.3 Model II 7.10.3.1 Window Subdivision 7.10.3.2 Daylighting Simulation 7.11 Conclusion Chapter 8 Circuit Simulation and Design 8.1 Evaluation of TKK CTL Circuit Simulation Occurrences 8.1.1 Interconnect Modeling 8.1.2 Linear MOR 8.1.3 Micromodel Realization 8.1.4 Module and Circuitry Block Behavioral Modeling 8.2 Outstanding Issues in Model Order Reduction 8.2.1 Massively Coupled Systems 8.2.2 Power Grid Modeled 8.3 Projection-Based Framework 8.3.1 Truncated Balanced Realizations 8.3.2 PRIMA Projection Algorithm 8.3.3 Input-Correlated TBR (PMTBR) 8.3.4 Non-linear Positive Real Balancing 8.3.5 Balancing of Nonlinear 8.3.6 Model Reduction Truncation 8.4 Efficient Activation of Electronic Component Models’ Convolutional Neural Network Parameters 8.4.1 Weight-Initialization Methods 8.5 Non-linear Trajectory Linear Technique in Circuit Modeling for a Non-linear Differential Mathematical Model 8.5.1 Linear Order Reduction Trajectory Pieceways 8.5.2 Creating the Local Linearized Models 8.5.3 Create a Significantly Decreased Subspace 8.5.4 Creation of the TPWL Lowered the Weighted Principles Calculations 8.6 MOR for ANSYS vs ROM Workstation Model Order Reducing for Massive Scale ODE Circuits 8.6.1 Algorithm of PRIMA 8.6.2 Freund’s Arnoldi 8.6.3 Comparison between Both Algorithms 8.7 Circuit Simulation Deputy Transient Sensitivity Analysis 8.7.1 Transient Analyzes of Sensitivity 8.8 Component Replacements Electricity Circuits Component Reducing Index 8.8.1 Element Replacement 8.8.2 Numerical QPSIM 8.9 Use of 2D Non-uniform Quick Fourier Process Transformations Technology to Analyze the Micro-strip Insulated Circuitry 8.9.1 NUFFT Algorithm 8.9.2 2D NUFFT Algorithm 8.10 A Filter Design Framework with Multi-criteria Optimization Based on a Genetic Algorithm 8.10.1 Traditional Quantitative Measurements 8.10.2 Multicriteria Optimization Function Design 8.10.3 Multicriteria Optimization Genetic Algorithm 8.11 Technique of Thermally Networking in Heavy Machinery Construction 8.11.1 Thermal Networks Concept 8.11.2 Hierarchical Thermal Networks Approach 8.11.3 Modeling of Ventilation 8.11.3.1 Formulation 8.11.3.2 Ventilation Networks 8.11.3.3 Structural Thermal Network 8.12 Hierarchical Mixed Multi-rating in Circuit Simulation 8.12.1 Modular Modeling 8.12.2 Compatibility of Master Nodes 8.12.3 Index Properties 8.12.4 Hierarchical Mixed Multi-rate 8.13 Automatic Partitioning for Multi-rate Methods 8.14 Multi-rate transient algorithm 8.14.1 The DAE System 8.14.2 The Optimal Partition 8.15 Partitioning Algorithms 8.16 Dynamically Changing Partitioning 8.17 Simulation of Quasiperiodic Signals via Warped MPDAEs Using Houben’s Approach 8.17.1 Multidimensional Model 8.17.2 Houben’s Method 8.18 Conclusion Chapter 9 Computational Electromagnetics 9.1 Finite Integration Techniques RF & Microwave Simulations — From Individual to System Architecture 9.1.1 The Minimum Technique for Algebraic Integration 9.1.2 State of the Art 9.1.3 Discretization Mesh Types 9.1.4 Domain’s Computations of Transmission and Reception 9.2 Design and Simulation 9.2.1 Specific Application Categories and Current Prospects 9.2.2 The Energy Viewpoint in Computational Electromagnetics 9.3 Newton and Newtonian Approximation Reflect the Increase with the Approach of Diagonal Final Integrations 9.3.1 Discretization of the Maxwell Equations 9.3.2 Assembling of a Matrix of Organizational Norms 9.3.3 Newton Method 9.3.3.1 Iteration Scheme 9.3.4 C-magnet Core 9.4 Discharge Modelling of a Decisions Related Techniques Fixed Support 9.4.1 Electromagnetic Model 9.4.2 Mechanical Model 9.5 Electrostatic On-Chip Models based on Dual Indefinite Integrated Technique, Reduced-Order 9.5.1 The Numerical Method 9.6 Approaches for Emi Filter Integrating Approximate Simultaneous Capacity 9.6.1 EPC Technology 9.6.1.1 EPC of Coupled Windings 9.7 Method of EM Wave Dispersion Applied to Buffered Block Forward Backward (BBFB) 9.7.1 Integral Coupled Electric Field Equations for Homogeneity Dielectric Systems 9.8 Finite Element Asymmetric Connectivity and Electroquasistic Field Simulations Boundary Integral Methods 9.8.1 Electro-Quasistatic Field Domains Compression 9.8.1.1 Electro-Quasistatic Fields of Transition 9.8.2 Model Finite Element Problem 9.8.3 Boundary-Element Formulation 9.8.4 Symmetric FEM-BEM Coupling 9.8.4.1 Continuous Formulation 9.9 Hysteresis Price Modeling Computer Errors 9.9.1 Experimental Evidence Produced Computer Mistakes 9.9.2 Numerical Errors 9.9.3 Testing of Preisach Model Accuracy 9.10 Conclusion Chapter 10 Mathematical and Computational Methods 10.1 Manifold Mapping for Multilevel Optimization 10.1.1 Optimizing Fine and Rough Modeling 10.2 Multilateral Optimized Electromagnetic Devices Software Program 10.2.1 Optimum Multi-objective Designing Elitist 10.2.2 The MOOP Integrated Software Package 10.2.3 SPEA Algorithm 10.3 Multi-objective Optimization of the Design of Unitary ESBT Devices 10.3.1 The ESBT Connected with MOSFET Device 10.4 Fast Optimum Optimization of the Construction of a Semi-conductor Related to Energy Transportation 10.4.1 The Optimum Dilemma of Modeling and Development 10.4.2 Fast Technique for Optimization and Quantitative Modeling 10.5 Extended Hydrodynamical Models for Charge Transport in SI 10.6 Concerning the Development of a 3D Mesh Project Focused Upon Delaunay 10.6.1 Delaunay Refinement 10.6.2 Delaunay Tetramerization 10.6.3 Predictions of Geometrical Topology 10.6.4 Coordinates Mesh Data-Structures 10.6.5 Detached Refining Elements 10.6.6 Splitting Encroached Elements 10.6.7 Representation of Globalized Facets 10.6.8 Dynamically Modified Bookkeeping 10.6.9 Point Set Location 10.7 Non-linear Possible Issue Coupling FETI/BETI Solvers in (UN) Constrained Conditions 10.8 A Hierarchy Pre-conditioner in Electromagnetic Electricity Coupled BE-FE 10.8.1 Band Linear Systems Solution in VSLI Model Reduction 10.9 MOESP Algorithm for Converting One-Dimensional Maxwell Equation into a Linear System 10.9.1 Definition of the Problem 10.9.2 MOESP Algorithm 10.9.3 Maxwell Equation 10.10 Transient Noise Analysis Adaptive Methods 10.10.1 Adaptive Numerical Methods 10.11 Efficient Performance in Grid Architectures with Distributed Software Activities 10.11.1 Implementation Paradigm for Professional for a Series of Projects 10.11.2 Implementation of Worker Model 10.12 Conclusion Chapter 11 Basic Chipper Design in Electronic Computing 11.1 On the Testing of a Differentially Stimulated Engine 11.1.1 Torque Model 11.1.2 Polynomial Representation 11.1.3 Non-linear Observatory 11.1.4 Predictive Model Controller 11.1.5 Digital Positioning Rotor 11.1.6 DC Motor Power Converter 11.2 Mash Digital Delta-Sigma Modulator with Multi-Moduli 11.2.1 MASH Architectures 11.2.2 Fractional-N Modulation Scheme 11.2.3 The MASH DDSM 11.3 Sensorless PM-Drive Aspects 11.3.1 Testing of Power Signals 11.4 Micro-Accelerometer Silicone Resonant Technology Relies on Electromagnetic Robustness 11.4.1 Operating Principle 11.4.2 Theory Analysis Unfolded Beams 11.4.3 Structure of Sensor Design 11.5 Innovative Dual-Pulse Amplifier Driver Extended MEMS Switch Durability Use 11.5.1 Dielectric Tunneling Charging 11.5.2 Dielectric Charging Mathematical Model 11.5.3 Equivalent Circuit Model 11.5.4 Dual-Pulse Actuation Signal 11.6 Optimal Control of Full Envelope Helicopter 11.6.1 Manual Control of Helicopter 11.6.2 Coordinate Frames and Transformations 11.6.3 Motion Dynamic Equations 11.6.4 Kinematic Equations 11.6.5 Force and Moments Acting on Helicopter 11.6.6 Trimming and Linearization 11.6.7 Controller Design 11.6.8 Microcontroller for Feedback Linearization 11.6.9 State Integrator 11.7 Accurate Motor Induction Parameter Evaluation 11.7.1 Power Balance 11.7.2 Parameters Determination 11.7.2.1 Core Loss Measurements or Estimate 11.7.2.2 Measurement or Estimation of Friction Losses 11.7.2.3 Stray-Load Loss Calculation 11.7.2.4 Stator Resistance Estimation 11.8 Squirrel Cage Rotor Bars Broken—Simulation Models 11.8.1 Model of Stator Winding 11.8.2 Model of Rotor Winding 11.8.3 Rotor Faults 11.8.4 Investigated Machine 11.9 Large Chipper Drive Many Designs 11.9.1 Rotor Rheostat Slip Ring Engine 11.10 Macrocell Location: Flow Guided by a Force 11.10.1 Placement Tools 11.10.2 Standard Cells Versus Macro-Cells 11.10.3 Force Directed Graph Drawing Algorithms 11.11 Surface Roughness Scattering in MOS Structures 11.11.1 Associated Scattering Potentials 11.11.2 Relative Strength of the Scattering Potentials 11.11.3 Remote Surface Roughness Scattering 11.12 A New Hybrid Recurring Mixed Frequency Domain Equalizer for Digital Communications 11.12.1 Proposed Hybrid Recurrent Neural Equalizer 11.12.2 Hybrid Neural Training Algorithm Training 11.13 Integration of Crossed Cube Interconnection Networks 11.13.1 Embedding Complete Binary Trees 11.13.2 Embedding Cycles 11.14 Fault-Tolerant Software: A Technique That Has a Component 11.14.1 ROC Detection Approach and Recovery Based on Believability 11.14.2 Aspect-Oriented Exception Handling Patterns 11.14.3 Error Component of Identification and Exclusion 11.15 AN Adaptation Uncertain Audio Multibiometric System 11.15.1 Support Vector Machine Classifier 11.15.2 Visual Front-End Subsystem 11.15.3 Front-End Subsystem Audio Component 11.16 Hardware Virtualization Design and Implementation Using a Purely Hardware-Assisted VMM 11.16.1 Hardware Virtualization 11.16.2 86 Architectural Limitations 11.16.3 AMD SVM Architectural Extensions 11.16.4 The Hardware-Assisted Virtual Machine Monitor 11.16.5 HVMM Design 11.17 Prediction of Quality of Metrics-Driven Software without Fault Data 11.17.1 Clustering 11.17.1.1 Clustering Basics 11.17.2 Clustering Algorithms 11.17.2.1 K-Means 11.18 Heterogeneous Embedded Software Computing Models 11.18.1 Embedded Systems 11.19 System-Level Design and Development 11.19.1 System-Level Design Approaches 11.20 Co-Design of Hardware/ Software 11.20.1 Specification and Modeling 11.20.2 Design and Refinement 11.20.3 Validation 11.21 Modeling and Specification 11.21.1 Computation Models 11.21.1.1 Model of Finite State Machines (FSM) 11.21.1.2 Discrete-Event Systems 11.21.1.3 Petri Nets Simulation 11.21.1.4 Data Flow Graphs 11.21.1.5 Sync/Reactive Modeling 11.21.1.6 Heterogeneous Models 11.22 A Differential Diagram for Reflecting Petrine Object Recognition 11.22.1 WN’s Basic Notions 11.22.2 Reflective Petri Nets Layout 11.22.3 Handling State Transition 11.23 The Dynamic Philosophers Example 11.24 Use of Real-Time Hardware Xilinx Embedded System Graphics Processing System Co-Simulation 11.24.1 Xilinx System Generators Design and Analysis for FPGA Implementation 11.24.2 Hardware Description Language (HDL) Modules 11.24.3 YCbCr Color Model 11.25 Conclusion Chapter 12 Demographic and Principles of Electronic Computing 12.1 Differentiation Using Neural Networks and Linear Regression Based on Perception and Traffic 12.1.1 The Road Traffic Congestion Estimation 12.1.2 Collection of Data Sets Tools and Techniques 12.1.3 Data Classification 12.2 RDF an Ontological Mobile Malware String Architectural Design: Testing and Assessment 12.2.1 Data Validation Process 12.2.2 NDVS Design 12.2.3 Functional Overview 12.2.4 Overview of the Framework Architecture 12.3 Identification of Vehicle Moving Movement’s Road Congestion Concentrations: Comparative among Artificial Neural Network and Data Mining Algorithms 12.3.1 Empirical Evidence Gathering 12.3.1.1 Balancing Class Distributions 12.3.2 Data Classifications 12.3.3 Sparely Populated Shared Memory Encoding Data to Be Used 12.3.4 Sparse Distributed Memories 12.3.5 Binary Codes and Distances 12.3.6 Binary Code 12.4 A Suggestion for the Integration of Artificial and Formal Logic 12.4.1 Conceptual Logic Theory 12.4.2 Structure of Prototype 12.4.3 A Feedforward Neural Network 12.4.4 The Dover Tides Predict 12.5 A Portfolio Management Clustering Application 12.5.1 The Optimization Problem 12.5.2 The Markowitz MVP Allocation 12.5.3 The Revised Allocation for Tobin Tangency 12.6 A Multi-Target Strategy to an Optimum Management Strategy in an IMS-QSE 12.6.1 New Process-Based Approach 12.6.1.1 Planning Phase 12.6.2 Quality Protection Systems 12.7 Geospatial Topographical Relationships for Infinite-Dimensional Circular Spaces 12.7.1 Qualitative Spatial Reasoning 12.7.2 Direction Spatial Relations 12.7.3 Distance Spatial Relations 12.8 Geographical Neighbors for Topographical Spatial Objects: The Multiple Scales Spherical Multidimensional Space Instance 12.8.1 Neighborhood Conceptualization Statistics: Model Snapshot 12.9 Multi-Agent Exploration inside Structural Collapses 12.9.1 Conversion to the Simulated World 12.9.2 Simulated Agent Tasks 12.9.3 2D Search Field Simulated 12.10 Diagnosis Communication Style by the Use of Concepts of the Neuro-Fuzzy, Evolutionary Algorithms, and Quantum Mechanics 12.10.1 Neuro-Fuzzy Network Module 12.11 The New Measure of Robust Principal Component Analysis 12.11.1 The Classical Principal Component Analysis (PCA) 12.12 The Effects of Demographics Differentiations on Authorship Identification 12.12.1 Feature 12.12.2 Framework 12.13 Anonymous ID Assignment and OPT-OUT 12.13.1 AIDA-D – Decentralized Anonymous Algorithm 12.13.2 Performance Analysis 12.14 Optimized k-Means Algorithm for Clustering of Biological Data 12.14.1 k-Means Clustering Algorithm 12.14.2 Computational Complexity 12.15 The Lévy Method and Applicability to Financing Ornstein–Uhlenbeck Processes 12.15.1 Ornstein-Uhlenbeck Processes 12.16 A New Territory Covering Categorization for Aerial Pictures: The Combination of Extended Reliance Tree-HMM and Uncontrolled Segmented 12.16.1 Extended Dependency Tree-Hidden Markov Models 12.16.2 Classification Scheme 12.16.3 Image Unsupervised Segmentation 12.16.4 Window Size Computation 12.16.5 Pre-Classification Photograph 12.16.6 Classification Correction 12.17 Conclusion Chapter 13 Rehabilitation Computing in Electronic Computing 13.1 Applying View Models in SOA 13.1.1 View Models 13.1.2 Applying the “4 C 1” View Model 13.1.3 Applying SOA Specific Models 13.1.3.1 Service Views 13.1.4 Useful Elements from Other View Models 13.1.4.1 RM-ODP, the Perspectives for Distributed Processing 13.1.4.2 The SEI Viewpoint Model: “Views and Beyond” 13.2 Independent and Centralized Opportunities to Showcase Actuator Network Optimum worth Remembering 13.2.1 Sample Frequency Calculation 13.2.2 Autonomous Network 13.3 Wi-Fi Point-to-Point Links: Performance Aspects of IEEE 802.11 13.4 Underground Telecommunications System That Is Based on a Subnet Transfer Scheme 13.4.1 Principle of Subnet Handover Scheme 13.4.2 Gateway Model on L3 STA 13.4.3 The Reused Tunnel Model 13.4.4 The Subnet-Based Communication System 13.4.5 The Vehicle Subsystem 13.4.6 The Central Control Subsystem 13.4.7 The Roaming Subsystem 13.5 Promespar: A Maximum Performance PROMES Regions Atmosphere Modeling Results 13.5.1 The Regional Atmospheric Model PROMES 13.6 Decreased Linux Adapter for Dolphins’ SCI and DX Transparent Connectivity 13.6.1 Dolphin’s High-Speed Interconnects 13.6.2 Scalable Coherent Interface (SCI) 13.6.3 Dolphin DX 13.6.4 Dolphin Software Stack 13.7 Architecture of ETHOM 13.7.1 Configuration 13.7.2 Connection Establishment 13.7.3 Communication Phase 13.8 Dyslipidemia Effect on a Fundamental Architectural Characteristic Mediated Dilation from Photographic Plethysmography 13.8.1 Vascular Endothelial Dysfunction 13.8.2 Flow-Mediated Dilation 13.8.3 Data Acquisition 13.9 Two-Dimensional Electric Resistance Study of the Generalized Solutions 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 13.11 Implementation of a Novel, Broad Field Optical Absorption Microscope in TGF-3, BSA/HCL Cultivated Human Bone Cell Monolayers and Microencapsulation Characteristics 13.11.1 Cell Culture 13.11.2 SP Substrate Preparation 13.11.3 Wound Healing 13.12 Speech Rehabilitation Methods for Laryngectomies Patients 13.12.1 Esophageal Speech 13.12.2 Tracheesophageal Puncture (TEP) 13.12.3 Electro Larynx 13.12.4 Whispered and Phonated Speech 13.12.5 Speech Regeneration 13.13 Investigation of Glass Micropipette Tip Microstructures and Giga-Seal Effects 13.13.1 3D Reconstruction of Micropipette Tip 13.13.2 Effect of Canned Cycles on Drilled Whole Quality 13.13.3 Drilling Canned Cycle 13.14 Aqua Base Sterling Silver Slurry Micro Machining Pieces 13.14.1 SU-8 Master Molds and Their Negative Replicas 13.14.2 Preparing Stainless Steel Slurry 13.14.3 De-Binding and Sintering 13.15 Explanation of the Voxel-Based Element for Electronic Properties 13.15.1 Procedure Model 13.15.2 Component Construction 13.16 Contrast-Enhanced Evaluation of Pipelines Applications Drift Flux Estimates 13.16.1 Application to a Vertical Pipe Considering the Buoyancy Effect 13.16.2 Drift Flux Models as Applied to Wear Rate in Horizontal Pipelines 13.16.3 The Continuous Model 13.16.4 Particle Equation of Motion 13.17 Condition Monitoring Frequencies Influence the Effectiveness of Manufacturing Industries 13.17.1 Economic Optimization of Preventive Maintenance Schedule 13.17.2 Queuing Models for Unreliable Machines 13.18 On the Number of Thin-Wall Grinding Instability Predictions 13.19 Risk Management of ERP SMES Infrastructure Development 13.19.1 Main Characteristics of ERP Projects 13.19.2 Risk Factors 13.20 Risk Management Tools 13.20.1 Risk Analysis Method 13.20.2 Characteristics Analysis Method 13.20.3 Product Data Management 13.20.4 ERP 13.21 Sleeping in the Economic Class Aircraft Customer Sitting Position Analysis 13.21.1 Aircraft Seat 13.21.2 Relationship of Subjective Method to Comfort and Discomfort 13.21.3 Observation on Sleeping Posture 13.21.4 Objective Analysis on Sitting Posture While Sleeping 13.22 Conclusion References Index
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