Proceedings of the 11th International Conference on Computer Engineering and Networks [[electronic resource] /] / edited by Qi Liu, Xiaodong Liu, Bo Chen, Yiming Zhang, Jiansheng Peng

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2022
• Edizione: 1st ed. 2022.
• Descrizione fisica: 1 online resource (1699 pages)
• Disciplina: 621.39
• Soggetto topico: Computational intelligence; Telecommunication; Computer networks; Computer science; Computational Intelligence; Communications Engineering, Networks; Computer Communication Networks; Computer Science
• Persona (resp. second.): LiuQi <active 2021>
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Intro -- Preface -- Contents -- IOTS Internet of Things and Smart Systems -- A Double Incentive Trading Mechanism for IoT and Blockchain Based Electricity Trading in Local Energy Market -- 1 Introduction -- 2 Blockchain-Based Local Energy Market -- 3 Methodology -- 3.1 System Architecture -- 3.2 Transaction Mechanism -- 4 Case Study -- 5 Conclusion -- References -- A Survey on Task Offloading in Edge Computing for Smart Grid -- 1 Introduction -- 2 Edge Computing -- 2.1 Definition of Edge Computing -- 2.2 Architecture of Edge Computing -- 3 Task Offloading in Edge Computing -- 3.1 The Classification of Task Offloading -- 3.2 Task Unloading Process -- 3.3 Task Offloading Scenario -- 4 Challenges and Future Works -- 5 Conclusion -- References -- Data Fusion of Power IoT Based on GOWA Operator and D-S Evidence Theory -- 1 Introduction -- 2 Related Works -- 3 DFMD -- 4 Simulation -- 4.1 Datasets -- 4.2 Simulation Results -- 5 Conclusion -- References -- Edge Task Offloading Method for Power Internet of Things Based on Multi-round Combined Auction -- 1 Introduction -- 2 Related Work -- 3 Problem Formulation -- 4 Algorithm Design Based on Auction Model -- 4.1 Tender Submission Stage -- 4.2 Resource Block Pre-allocation Phase -- 4.3 Winner Determination Stage -- 5 Experimental Evaluation -- 6 Conclusion -- References -- VEC-MOTAG: Vehicular Edge Computing Based Moving Target Defense System -- 1 Introduction -- 2 Related Work -- 3 Threat Model and System Overview -- 4 System Design: Vehicular Edge Computing Based MOTAG System -- 4.1 Accessibility Constraint -- 4.2 QoS Constraints -- 4.3 Capacity Constraints -- 5 Evaluation -- 6 Conclusion -- References -- AIA Artificial Intelligence and Applications -- Short-Term Wind Power Forecasting Based on the Deep Learning Approach Optimized by the Improved T-distributed Stochastic Neighbor Embedding. ; 1 Introduction -- 2 Proposed Approaches -- 2.1 Wind Power Forecasting Model Architecture Design -- 2.2 Data Preprocessing of the Wind Power Time Series -- 2.3 Metrics Design for Wind Power Forecasting -- 3 Experiments -- 4 Conclusions -- References -- Adaptive Image Steganographic Analysis System Based on Deep Convolutional Neural Network -- 1 Introduction -- 2 Adaptive Image Steganography Analysis Method -- 2.1 Deep Convolutional Neural Network Structure -- 2.2 Steganalysis Method -- 3 Model Training -- 3.1 Experimental Data and Platform -- 3.2 Experimental Results and Analysis -- 4 System Design -- 4.1 System Framework Design -- 4.2 System Function -- 5 Conclusion -- References -- An Efficient Channel Attention CNN for Facial Expression Recognition -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Face Detection and Correction -- 3.2 Improved Network Framework Based on DenseNet -- 3.3 Loss Function -- 4 Experiment -- 4.1 Experimental Platform -- 4.2 Experimental Results -- 5 Conclusion -- References -- Handwritten Digit Recognition Application Based on Fully Connected Neural Network -- 1 Introduction -- 2 Key Technologies of Fully Connected Neural Network in Handwritten Digit Recognition -- 2.1 Activation Function -- 2.2 Sigmoid Function -- 2.3 Relu Function -- 2.4 Loss Function -- 2.5 The Core Code of the Fully Connected Neural Network in the Application of Handwritten Digit Recognition -- 3 MNIST Data Set -- 3.1 Analysis of Results -- References -- Detection System of Truck Blind Area Based on YOLOv3 -- 1 The Introduction -- 2 YOLOv3 -- 2.1 Introduction to YOLOV3 Algorithm -- 2.2 YOLO3 Network Structure -- 3 System is Introduced -- 3.1 System Architecture Diagram -- 3.2 The System Design -- 4 The System Test -- 4.1 The Test Environment -- 4.2 Test Indicators -- 4.3 The Experimental Process -- 5 Conclusion -- References. ; Driver Fatigue Detection Algorithm Based on SMO Algorithm -- 1 Introduction -- 2 Fatigue State Recognition Based on Machine Vision -- 2.1 Face Feature Location -- 2.2 Extraction of Eye Feature Parameters Based on SMO Selection Strategy -- 2.3 Training Test Based on the Opening and Closing Degree of Human Eyes -- 3 Simulation Experiment -- 4 Conclusion -- References -- Image Mosaic Technology Based on Harris Corner Feature -- 1 Introduction -- 2 Theory and Technology -- 2.1 Image Registration -- 2.2 Harris Image Feature Extraction -- 2.3 Calculation of Homography Matrix -- 3 Image Mosaic Process -- 3.1 Feature Point Capture -- 3.2 Adaptive Non-maximum Suppression -- 3.3 Description of Key Points -- 3.4 Matching of Key Points -- 3.5 The Composition of New Images -- 4 Experiment -- 4.1 Image Mosaic of Existing Data Sets -- 4.2 Actual Shot Image -- 5 Concludes -- References -- Image Semantic Segmentation Based on Joint Normalization -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 Network Structure -- 3.2 Normalization Method -- 4 Experiment -- 4.1 Dataset -- 4.2 Analysis -- 5 Conclusion -- References -- DeepINN: Identifying Influential Nodes Based on Deep Learning Method -- 1 Introduction -- 2 Related Work -- 2.1 Node Identification Method Based on Node Ranking Method -- 2.2 Network Embedding Method -- 3 DeepINN -- 3.1 Node Similarity Based on Network Embedding -- 3.2 Node Sampling Algorithm Based on Community Structure -- 3.3 Node Screening Strategy Based on Influential Communities -- 4 Experimental Results -- 4.1 Data Preparation -- 4.2 Parameter Settings of the Network Embedding Methods -- 4.3 Results -- 5 Conclusion -- References -- Lightweight Semantic Segmentation Convolutional Neural Network Based on SKNet -- 1 Introduction -- 2 Related Work -- 3 Method -- 3.1 The Network Structure -- 3.2 SKNet -- 4 Experiment. ; 4.1 Experimental Environment -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Research on Image Detection and Extraction Method Based on Yin and Yang Discrete Points -- 1 Introduction -- 2 Design of the Sampling Method of Yin and Yang Discrete Points -- 2.1 Yin and Yang Discrete Points Sampling -- 2.2 Parameter Tuning of Discrete Point Sampling Method -- 2.3 Analysis of Anti-noise Interference Ability -- 2.4 Constructing Independent Regions of Discrete Graphs -- 3 Research on Shape Detection and Extraction Based on Yin And Yang Discrete Points -- 4 Experimental Results -- 5 Conclusion -- References -- Research on Short-Term Power Load Prediction Based on Deep Learning -- 1 Introduction -- 2 Deep Learning Models -- 3 Prediction Results and Analysis of Power Short-Term Load Models -- 4 Conclusion -- References -- Image Repair Methods Based on Deep Residual Networks -- 1 Related Work -- 2 Body Method -- 2.1 Repair the Module -- 2.2 Mitigation Module -- 2.3 Loss Function -- 3 Analysis of Experimental Results -- 4 Conclusions -- References -- Real-Time Traffic Sign Detection Based on Improved YOLO V3 -- 1 Introduction -- 2 YOLO V3 Target Detection Algorithm -- 3 Data Collection and Data Enhancement -- 3.1 Data Collection -- 3.2 Data Enhancement -- 4 Analysis of Experimental Simulation Results -- 5 Conclusion -- References -- Design of Ground Station for Fire Fighting Robot -- 1 Introduction -- 2 Ground Station Design -- 2.1 Basic Composition of Ground Stations -- 2.2 Operating System Module -- 2.3 Wireless Communication Module -- 2.4 Power Module -- 3 Project Design -- 3.1 Wireless Communication Module Design -- 3.2 Power Module Design -- 3.3 Overall Design Diagram Design -- 4 Conclusion -- References -- Baby Expression Recognition System Design and Implementation Based on Deep Learning -- 1 Introduction -- 2 Related Work. ; 2.1 Deep Learning Based on Neural Networks -- 2.2 Expression Detection and Correction -- 2.3 Face Recognition Technology -- 3 System Design -- 3.1 General Interface Design -- 3.2 Objective Comparison -- 3.3 System Module -- 3.4 Software Testing -- 4 Conclusion -- References -- Handwriting Imitation with Generative Adversarial Networks -- 1 Introduction -- 2 Related Work -- 3 Architecture -- 4 Experiment -- 4.1 Data Set -- 4.2 Experiment Result -- 5 Conclusion -- 6 Expectation -- References -- Epidemic Real-Time Monitor Based on Spark Streaming Real-Time Computing Algorithm -- 1 Introduction -- 2 Related Work -- 2.1 Introduction to Spark -- 2.2 Introduction to Spark Streaming -- 2.3 Comparison of the Advantages and Disadvantages of Spark Streaming and Storm -- 3 Method -- 3.1 Algorithm Introduction -- 3.2 Algorithm Implementation -- 4 Experiments -- 4.1 Test Results -- 5 Conclusion -- References -- Design and Implementation of Fruit and Vegetable Vending Machine Based on Deep Vision -- 1 Introduction -- 2 System Hardware Design -- 3 System Programming -- 3.1 System Control Terminal Design -- 3.2 System Recognition Terminal Program Design -- 4 Overall System Debugging -- 5 Summary and Outlook -- References -- Design and Implementation of License Plate Recognition System Based on Android -- 1 Introduction -- 2 The Overall Algorithm Flow of the System -- 3 Image Preprocessing -- 3.1 Image Grayscale Algorithm Selection -- 3.2 Image Binarization Algorithm Selection -- 3.3 Edge Detection Algorithm Selection -- 3.4 Morphological Processing -- 4 License Plate Positioning -- 5 Character Segmentation Test and Analysis -- 6 Application Design -- 7 Summary and Outlook -- References -- Pseudo-block Diagonally Dominant Matrix Based on Bipartite Non-singular Block Eigenvalues -- 1 Introduction. ; 2 Quasi-block Diagonally Dominant Matrix Based on Bipartite Non-singular Block Eigenvalues.
• Sommario/riassunto: This conference proceeding is a collection of the papers accepted by the CENet2021 – the 11th International Conference on Computer Engineering and Networks held on October 21-25, 2021 in Hechi, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.
• Titolo autorizzato: Proceedings of the 11th International Conference on Computer Engineering and Networks
• ISBN: 981-16-6553-2; 981-16-6554-0
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910743248403321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering, . 1876-1119 ; ; 808