Screen LibraryAdvanced multimedia and ubiquitous engineering : MUE-FutureTech 2020 /
This book comprises selected papers from the 14th International Conference on Multimedia and Ubiquitous Engineering (MUE 2020) and the 14th International Conference on Future Information Technology (Future Tech 2020). And this book presents the latest developments in the field of ubiquitous computin...
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| Corporate Authors: | ; |
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| Group Author: | ; ; ; |
| Published: |
Springer,
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| Publisher Address: | Singapore : |
| Publication Dates: | [2021] |
| Literature type: | Book |
| Language: | English |
| Series: |
Lecture Notes in Electrical Engineering,
volume 716 |
| Subjects: | |
| Summary: |
This book comprises selected papers from the 14th International Conference on Multimedia and Ubiquitous Engineering (MUE 2020) and the 14th International Conference on Future Information Technology (Future Tech 2020). And this book presents the latest developments in the field of ubiquitous computing technologies. It also discusses the state of the art in the development of computational methods, involving theory, algorithms, numerical simulation, error and uncertainty analysis, and novel applications of new processing techniques in engineering, science, and other disciplines related to ubiquitous computing. This book is a great resource for students, researchers, and professors working in the field of ubiquitous computing. |
| Item Description: | 5 Conclusion. |
| Carrier Form: | xix, 200 pages : illustrations (some color) ; 24 cm. |
| Bibliography: |
Includes bibliographical references. References-Design of a Multi-core IP-NDN Gateway for Smart Dust IoT Environments-1 Introduction-2 Smart Dust IoT System-3 IP-NDN Gateway-4 Conclusion and Future Studies-References-A Study on Protocol Comparison for Energy-Efficient Network Configuration in Mobile Edge Computing-1 Introduction-2 Related Work-2.1 Mobile Edge Computing-2.2 Network Configuration of WSNs-3 A Comparative Study-3.1 Problem Statement-3.2 Study Condition-3.3 LEACH for MEC-3.4 PEGASIS for MEC-4 Performance Evaluation-4.1 Simulation Environment-4.2 Simulation Result. |
| ISBN: |
9789811593086 9811593086 |
| Index Number: | QA76 |
| CLC: | TP37-532 |
| Call Number: | TP37-532/I613-6/2020 |
| Contents: |
Intro -- Message from the FutureTech 2020 General Chairs -- Message from the FutureTech 2020 Program Chairs -- FutureTech 2020 Organization -- Message from the MUE 2020 General Chairs -- Message from the MUE 2020 Program Chairs -- MUE 2020 Organization -- Contents -- Research on Optimization of Knapsack Problem in Logistics Distribution -- 1 Introduction -- 1.1 Traditional Knapsack Problem Description -- 1.2 Particle Swarm Optimization Algorithm -- 2 Knapsack Problem Solution in Logistics Distribution -- 2.1 Simulated Annealing and Binary Particle Swarm Optimization (BPSOSA) 2.2 Particle Fitness Update -- 2.3 Weight, Learning Factor Update -- 2.4 Individual Optimal Solution and the Global Optimal Solution Update -- 2.5 Path Adjustment -- 3 Logistics Simulation System -- 3.1 Simulation Results and Analysis -- 4 Conclusion -- References -- Construct of Data Compression System for Urgent Data Transmission in Smart Dust Environment -- 1 Introduction -- 2 Previous Work -- 3 Hierarchical Transmit Method -- 3.1 The Normal Data Threshold Filtering Phase (The First Phase) -- 3.2 The Normal Data Integration Phase (The Second Phase) -- 4 Experiment -- 5 Conclusion -- References Entity Summarization in Fuzzy Knowledge Graph Based on Fuzzy Concept Analysis -- 1 Introduction -- 2 Related Work -- 3 Proposed Approach -- 3.1 Fuzzy Knowledge Graph -- 3.2 Problem Description -- 3.3 Proposed Approach -- 4 Conclusion -- References -- Interlacing Data to Classify Software in Linear Regression Approach -- 1 Introduction -- 2 Linear Regression in Machine Learning -- 2.1 Linear Regression in Software Classification -- 2.2 The Basic Approach of Interlacing Data -- 3 Interlacing Data in Linear Regression -- 4 Experimental Evaluation -- 5 Conclusion -- References Blockchain and Trusted Execution Environment Based Fairness Incentive Mechanism in Crowdsensing -- 1 Introduction -- 2 Related Work -- 3 Architecture and Operations of Our Proposed System -- 4 Experiment -- 5 Analysis and Conclusion -- References -- Identifying Critical Topics for Successful Games in Game Reviews by Applying Latent Dirichlet Allocation -- 1 Introduction -- 2 Background -- 3 Topic Modeling Analysis -- 3.1 Theoretical Framework -- 3.2 Methodology -- 4 Discussions -- 4.1 Stimulation-Response-Desire-Goal (SRDG) Model -- 4.2 Application and Development of the Model -- 5 Conclusion |