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Advanced information networ...
Monografía
monografia Rebiun32108333 https://catalogo.rebiun.org/rebiun/record/Rebiun32108333 m o d | cr cnu|||||||| 221113s2022 sz a ob 001 0 eng d 9783030996192 electronic bk.) 9783030996185 UPVA 998068839903706 UAM 991008182587604211 CBUC 991005082369506711 CBUC 991010724183806709 UCAR 991008310017004213 CBUC 991010724183806709 MiAaPQ eng rda pn MiAaPQ MiAaPQ 004.6 23 Advanced information networking and applications. Volume 3 proceedings of the 36th International Conference on Advanced Information Networking and Applications (AINA-2022) edited by Leonard Barolli, Farookh Hussain, Tomoya Enokido Cham, Switzerland Springer [2022] Cham, Switzerland Cham, Switzerland Springer 2022 1 online resource (697 pages) 1 online resource (697 pages) Text txt rdacontent computer c rdamedia online resource cr rdacarrier Lecture Notes in Networks and Systems Ser. v.451 Includes bibliographical references and index Intro -- Welcome Message from AINA-2022 Organizers -- Organization -- AINA-2022 Organizing Committee -- Honorary Chair -- General Co-chairs -- Program Committee Co-chairs -- Workshops Co-chairs -- International Journals Special Issues Co-chairs -- Award Co-chairs -- Publicity Co-chairs -- International Liaison Co-chairs -- Local Arrangement Co-chairs -- Finance Chair -- Web Co-chairs -- Steering Committee Chair -- Tracks and Program Committee Members -- 1. Network Protocols and Applications -- Track Co-chairs -- TPC Members -- 2. Next-Generation Wireless Networks -- Track Co-chairs -- TPC Members -- 3. Multimedia Systems and Applications -- Track Co-chairs -- TPC Members -- 4. Pervasive and Ubiquitous Computing -- Track Co-chairs -- TPC Members -- 5. Web-Based and E-Learning Systems -- Track Co-chairs -- TPC Members -- 6. Distributed and Parallel Computing -- Track Co-chairs -- TPC Members -- 7. Data Mining, Big Data Analytics and Social Networks -- Track Co-chairs -- TPC Members -- 8. Internet of Things and Cyber-Physical Systems -- Track Co-chairs -- TPC Members -- 9. Intelligent Computing and Machine Learning -- Track Co-chairs -- TPC Members -- 10. Cloud and Services Computing -- Track Co-chairs -- TPC Members -- 11. Security, Privacy and Trust Computing -- Track Co-chairs -- TPC Members -- 12. Software-Defined Networking and Network Virtualization -- Track Co-chairs -- TPC Members -- AINA-2022 Reviewers -- AINA-2022 Keynote Talks -- Data Intensive Scalable Computing in Edge/Fog/Cloud Environments -- Resource Management in 5G Cloudified Infrastructure: Design Issues and Challenges -- Contents -- LSTM-Based Reinforcement Q Learning Model for Non Intrusive Load Monitoring -- 1 Introduction -- 2 Related Work -- 3 Design of the Proposed Intelligent Algorithm -- 3.1 Recurrent Long Short-Term Memory (LSTM) 3.2 Reinforcement Learning: Q-Reinforcement Learning -- 3.3 Proposed Model: Reinforcement Learning Based on Recurrent LSTM -- 3.4 Description of the Training Database for NILM -- 3.5 Evaluation Metrics -- 4 Simulation Results -- 5 Conclusion -- References -- Machine Learning for Student QoE Prediction in Mobile Learning During COVID-19 -- 1 Introduction -- 2 QoE Definition and Metric -- 3 Proposed Framework -- 3.1 Student Engagement Detection Module -- 4 QoE Estimation for MOS Prediction -- 5 Conclusion -- References -- XceptionUnetV1: A Lightweight DCNN for Biomedical Image Segmentation -- 1 Introduction -- 2 Motivation -- 3 Proposed Model -- 3.1 Xception Units -- 3.2 Residual Learning -- 3.3 Atrous Convolution -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Network Architecture -- 4.3 Loss Function -- 4.4 Training and Testing -- 4.5 Comparative Results -- 5 Conclusion -- References -- A Proposed Intrusion Detection Method Based on Machine Learning Used for Internet of Things Systems -- 1 Introduction -- 2 Methodology -- 3 Related Works -- 3.1 Binary Classification -- 3.2 Multi-class Classification -- 4 Evaluation Metrics for Classification Models -- 4.1 ML Algorithms -- 4.2 Evaluation Fundamental -- 5 Proposed Method and Simulation -- 5.1 Proposed Method Motivation -- 6 Implementation -- 7 Simulation -- 8 Conclusion -- References -- Shape Trajectory Analysis Based on HOG Descriptor for Isolated Word Sign Language Recognition -- 1 Introduction -- 2 Trajectories Matrix Extraction -- 2.1 The Static-Level -- 2.2 The Dynamic-Level -- 3 Shape Trajectory Analysis -- 4 Experimental Results -- 4.1 Dataset -- 4.2 Test Protocol -- 4.3 Results -- 4.4 Comparative Study with Existing Work -- 5 Conclusion and Future Works -- References -- How Australians Are Coping with the Longest Restrictions: An Exploratory Analysis of Emotion and Sentiment from Tweets 1 Introduction -- 2 Related Works -- 3 Methodology -- 3.1 Data Collection and Preparation -- 3.2 Experiment -- 4 Results and Discussion -- 5 Conclusion -- References -- COVID-19 Article Classification Using Word-Embedding and Extreme Learning Machine with Various Kernels -- 1 Introduction -- 2 Related Work -- 3 Study Design -- 3.1 Experimental Dataset -- 3.2 Word Embedding -- 3.3 Feature Selection Techniques -- 3.4 Extreme Learning Machine -- 4 Research Methodology -- 5 Empirical Results and Analysis -- 5.1 Comparative Analysis -- 5.2 Word-Embedding -- 5.3 Feature Selection -- 5.4 Extreme Learning Machine -- 5.5 Title and Content -- 6 Conclusion -- References -- An Improved Ant Colony Optimization Based Parking Algorithm with Graph Coloring -- 1 Introduction -- 2 Related Works -- 3 Preliminaries -- 3.1 ACO -- 4 Model Definition -- 5 An Ant Colony Optimization Parking Algorithm -- 5.1 Graph Coloring -- 5.2 The Pheromone Model -- 5.3 Constraint Relaxation -- 5.4 The Algorithm -- 6 Valuation -- 6.1 Simulation Results -- 6.2 Benchamarks -- 7 Conclusions -- References -- A Review About Machine and Deep Learning Approaches for Intelligent User Interfaces -- 1 Introduction -- 1.1 Application Trends for Intelligent User Interfaces -- 2 IUIs Overview -- 3 IUIs Classification -- 3.1 Machine Learning-Based Papers -- 3.2 Deep Neural Network-Based Papers -- 4 Conclusions -- References -- A Survey on Neural Recommender Systems: Insights from a Bibliographic Analysis -- 1 Introduction -- 2 Conventional and Deep Learning Approaches to Recommendation -- 2.1 Conventional Approaches -- 2.2 Neural Approaches -- 3 Bibliographic Analysis -- 4 Conclusions -- References -- Information Networking and e-Government in United Nations and Europe -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Empirical Results -- 5 Discussion -- 6 Conclusions -- References A Microservices Based Architecture for the Sentiment Analysis of Tweets -- 1 Introduction -- 2 The Container Based Framework -- 2.1 Design of the Framework -- 3 Platform Implementation -- 4 Conclusion and Future Works -- References -- Container-Based Platform for Computational Medicine -- 1 Introduction -- 2 Descriptions of the Functionality Provided by Atmosphere -- 3 New Architecture Based on Containerization Concept -- 3.1 Design Providing Functionality for Administrators -- 3.2 Design Providing Functionality for Developers -- 3.3 Design Providing Functionality for End-Users -- 4 Container-Based Platform -- 5 Implementation and Proof of Concept -- 6 Conclusion -- References -- Digital Twins for Autonomic Cloud Application Management -- 1 Introduction -- 2 The Cloud Application and Its Digital Twin -- 2.1 Cloud Application Modelling -- 2.2 Digital Twins -- 2.3 Optimized Cloud Application Management -- 3 Abstract Behavioral Specification Model as the Digital Twin -- 3.1 The Abstract Behavioral Specification Language -- 3.2 Modelling Cloud Applications with ABS -- 4 Discussion -- 5 Conclusion -- References -- Opportunities and Advantages of Cloud Migration of a Smart Restaurant System -- 1 Introduction -- 2 Related Works -- 3 Background -- 4 Smart Restaurant System Architecture -- 5 Cloud Migration of Smart Restaurant System -- 5.1 Agnostic Cloud Architecture -- 5.2 AWS Cloud Architecture -- 6 Conclusion -- References -- Analysis of Techniques for Mapping Convolutional Neural Networks onto Cloud Edge Architectures Using SplitFed Learning Method -- 1 Introduction -- 2 Background and Related Works -- 3 Federate Learning -- 3.1 Split Learning -- 3.2 SplitFed Learning -- 4 Computational and Architectural Patterns for Federate Learning -- 5 An Implementation Proposal of CNN in Federate Learning -- 6 Conclusion -- References In-cloud Migration of a Custom and Automatic Booking System -- 1 Introduction -- 2 Background and Related Work -- 3 Off-Cloud Booking System Architecture -- 4 In-Cloud Migration of on Premise Custom and Automatic Lodge Booking System -- 4.1 Agnostic Cloud Architecture -- 4.2 AWS Cloud Architecture -- 5 Conclusions and Future Works -- References -- Anomalous Witnesses and Registrations Detection in the Italian Justice System Based on Big Data and Machine Learning Techniques -- 1 Introduction -- 2 Related Works -- 3 The Data Analysis Pipeline -- 4 Anomalies Detection -- 4.1 Identification of ``Serial Witnesses'' -- 4.2 Recognition of Anomalous Registrations -- 5 Microservices Architecture -- 6 Conclusion and Future Works -- References -- A NLP Framework to Generate Video from Positive Comments in Youtube -- 1 Introduction -- 2 Literature Review -- 3 Methodology -- 4 Implementation -- 5 Conclusion -- References -- Smart Insole Monitoring System for Fall Detection and Bad Plantar Pressure -- 1 Introduction -- 2 Related Works -- 3 Gait Analysis -- 4 Hardware and Software Design -- 4.1 Hardware Descriptions -- 4.2 Software Implementation -- 5 Conclusion -- References -- A Recommendation Method of Health Articles Based on Association Rules for Health Terms Appeared on Web Documents and Their Application Systems -- 1 Introduction -- 2 Rerated Work -- 3 Proposed Method -- 3.1 Overview -- 3.2 Extraction of Association Rules -- 3.3 Calculation of Recommendation Score for Health Articles -- 4 Experiment -- 4.1 Experimental Purpose -- 4.2 Experimental Environment -- 4.3 Experimental Method -- 4.4 Experimental Result -- 5 Conclusion -- References -- A Voronoi Edge and CCM-Based SA Approach for Mesh Router Placement Optimization in WMNs: A Comparison Study for Different Edges -- 1 Introduction -- 2 Mesh Router Placement Problem -- 3 Proposed Method 3.1 CCM for Mesh Router Placement Optimization Artificial intelligence Enokido, Tomoya editor Barolli, Leonard editor Takizawa, Makoto editor Print version Barolli, Leonard. Advanced Information Networking and Applications Cham : Springer International Publishing AG,c2022 9783030996185 Lecture Notes in Networks and Systems Ser