<p>This book constitutes the refereed conference proceedings of the 9<sup>th</sup> International Conference on Mobile Wireless Middleware, Operating Systems and Applications, MOBILWARE 2020, held in Hohhot, China, in July 2020. Due to COVID-19 pandemic the conference was held virtually.<br> The 21 r
Mobile Wireless Middleware, Operating Systems and Applications: 10th International Conference on Mobile Wireless Middleware, Operating Systems and ... Innovations in Communication and Computing)
β Scribed by Dalai Tang (editor), Joni Zhong (editor), Dalin Zhou (editor)
- Publisher
- Springer
- Year
- 2022
- Tongue
- English
- Leaves
- 160
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This book presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021), held virtually in a live stream. The papers included contribute to organized topics of 5G wireless communication, wireless sensor networks, knowledge extraction, instantaneous availability, complex networks, computer vision for mobile application, and mobile support robots. The research presents both theoretically and experimentally based topics. The work particularly benefits researchers, graduate students, and engineers who are interested in related technique improvement ranging from communication middleware and operating systems to networking protocols and applications.
- Presents the proceedings of the 10th International Conference on Mobile Wireless Middleware, Operating Systems and Applications (MOBILWARE 2021);
- Topics include 5G wireless communication, wireless sensor networks, knowledge extraction, and instantaneous availability;
- Relevant to researchers, students, and engineers involved in wireless technology and its applications.
β¦ Table of Contents
Preface
Conference Organization
Contents
Human Behavior Estimation Using Micro-vibration Sensor Based on Deep Boltzmann Machine
1 Introduction
2 Related Method
2.1 Boltzmann Machine
2.2 Restricted Boltzmann Machine
2.3 Deep Boltzmann Machine
3 Human Behavior Estimation System
4 Behavior Estimation Algorithm
4.1 Low-Pass Filter (LPF)
4.2 Weighted Root Mean Square (WRMS)
4.3 Autocorrelation Function (ACF)
4.4 Binarization
4.5 Feature Extraction by DBM
4.6 Classification by Neural Network
4.7 Time Series Majority Decision
5 Human Behavior Estimation Experiment
5.1 Training the Proposed Model
5.2 Experimental Methods
5.3 Behavior Estimation Results
5.4 Consideration
6 Conclusion
References
Topological Tracking for Mobility Support Robots Based on Multi-scale Batch Learning Growing Neural Gas
1 Introduction
2 Multi-scopic Simulations for Topological Twin
2.1 Multi-scopic Approach
2.2 Macroscopic Analysis Based on Human-Robot Mesoscopic Simulations
3 Topological Tracking
3.1 Multi-scale Batch Learning Growing Neural Gas
3.2 Topological Analysis by Adjacent Matrix
4 Simulation Results
5 Summary
References
Bibliographic Analysis of the Capacity and Applicability of Li-Fi Networks
1 Introduction
2 Related Works
3 Theoretical Background
3.1 Optical Communication
3.2 Photodiode
3.3 Li-Fi
4 Methodology
5 Results
5.1 Signal Modulation
5.2 Multi-User Access
5.3 Network Structure
5.4 Upload
5.5 Topology
5.6 Cells
5.7 Data Rates
5.8 Use Cases
5.9 Li-Fi and 5G
6 Conclusion
References
Layered-MAC: An Energy-Protected and Efficient Protocol for Wireless Sensor Networks
1 Introduction
2 Related Work
3 Requirements Analysis
3.1 Requirements Identification
3.2 Functional Requirements
3.3 Algorithm Design
4 Protocol Simulation
4.1 Test Plan
4.2 Experimental Results
4.3 Simulation Results for the Protocols Under Attack
5 Conclusion and Future Work
References
Study on Urban Travel Volume During the Outbreak of COVID-19
1 Introduction
2 Data and Methods
2.1 Study Area and Data
2.2 Hierarchical Spatiotemporal Model
2.3 Stability Judgment Based on Space-Time Effect
3 Conclusion
3.1 Model Implementation and Convergence
3.2 Model Performance Test
3.3 Results
4 Discussion
References
A Review of Additive Manufacturing (3D Printing) in Aerospace: Technology, Materials, Applications, and Challenges
1 Introduction
2 Main Processes in Aerospace
2.1 Fused Deposition Modeling (FDM)
2.2 Selective Laser Melting (SLM)
3 Materials
3.1 Metals and Alloys
3.2 Polymers and Composites
3.3 Ceramics
4 Aerospace Applications
4.1 Unmanned Aerial Vehicle (UAVs)
4.2 Satellites and Rockets
4.3 Aero-engine
4.4 Aerospace Flight
4.5 Machine Learning
5 Superiorities
6 Challenges
7 Prospects
8 Conclusions
References
Instantaneous Availability Analysis of Maintenance Process Based on Semi-Markov Model
1 Introduction
2 Preliminaries
3 Instantaneous Availability Analysis of Maintenance Process
4 Analysis Case of Instantaneous Availability
5 Conclusion
References
A Survey of Techniques for Constructing Mongolian Domain-Specific Knowledge Graph
1 Introduction
2 Related Work
2.1 Construction of Knowledge Graph
2.2 Challenges in Constructing Mongolian Knowledge Graph
3 Mongolian Named Entity Recognition
4 Conclusions and Future Work
References
Mongolian Word Segmentation Based on BiLSTM-CNN-CRF Model
1 Introduction
2 Neural Network Model
2.1 BiLSTM Model Layer
2.2 CNN Model Layer
2.3 CRF Model Layer
3 BiLSTM-CNN-CRF-Based Mongolian Word Segmentation Model
3.1 Data Annotation
3.2 Character Vectorization
3.3 BiLSTM-CNN-CRF Model Layer
4 Experiments and Analysis
4.1 Experimental Data
4.2 Experimental Parameter Settings and Evaluating Indicator
4.3 Experimental Results and Analysis
5 Conclusion
References
Safety Helmet Wearing Recognition Based on YOLOv5
1 Introduction
2 Method
2.1 Common Target Detection Models
Faster R-CNN
SSD
YOLO
2.2 YOLOv5
YOLOv5 Network Structure
Enhanced YOLOv5 Network Model
YOLOv5 Loss Function
3 Experiment
3.1 Training Environment
3.2 Dataset
3.3 Experiment and Results
Evaluation Index
Model Setting
Result
Comparison of Helmet Test Results
4 Conclusion
References
Index
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