Proceedings of the 11th International Conference on Computer Engineering and Networks

• Autore: Liu Qi
• Pubblicazione: Singapore : , : Springer Singapore Pte. Limited, , 2021; ©2022
• Descrizione fisica: 1 online resource (1699 pages)
• Soggetto genere / forma: Electronic books.
• Altri autori: LiuXiaodong ChenBo ZhangYiming PengJiansheng
• 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.
• Titolo autorizzato: Proceedings of the 11th International Conference on Computer Engineering and Networks
• ISBN: 9789811665547; 9789811665530
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910508457803321
• Lo trovi qui: Univ. Federico II
• Serie: Lecture Notes in Electrical Engineering Ser.