Advances in Intelligent Information Hiding and Multimedia Signal Processing : Proceeding of the 16th International Conference on IIHMSP in conjunction with the 13th international conference on FITAT, November 5-7, 2020, Ho Chi Minh City, Vietnam, Volume 2 / / edited by Jeng-Shyang Pan, Jianpo Li, Keun Ho Ryu, Zhenyu Meng, Aleksandra Klasnja-Milicevic

• Pubblicazione: Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2021
• Edizione: 1st ed. 2021.
• Descrizione fisica: 1 online resource (546 pages)
• Disciplina: 006.3
• Soggetto topico: Computational intelligence; Artificial intelligence; Signal processing; Multimedia systems; Medical informatics; Computational Intelligence; Artificial Intelligence; Signal, Speech and Image Processing; Multimedia Information Systems; Health Informatics
• Persona (resp. second.): PanJeng-Shyang
• Nota di contenuto: Intro -- Conference Organization -- Preface -- Contents -- About the Editors -- Design of Wideband Microstrip Helical VHF/UHF Antenna for Naval Ships Application -- 1 Introduction -- 2 Methodology for the Design -- 2.1 Selection of Antenna Shape -- 2.2 Selection of Feeding Type -- 2.3 Selection of Dielectric Substrate -- 2.4 Selection of Software for Design and Simulation -- 3 Design Architecture -- 3.1 Design Dimensions -- 3.2 Application -- 4 Simulation Results/Analysis -- 5 Conclusion -- References -- Research on Control Strategy of Four-Leg Inverter Under Unbalanced and Nonlinear Load -- 1 Introduction -- 2 Mathematical Model of Three-Phase Four-Leg Inverter -- 3 Repeated Controller Design -- 4 Integrated Control Design -- 5 Simulation Verification and Analysis -- 6 Conclusion -- References -- A Comparative Study on Interaction Design of Social Function in Music Application -- 1 Introduction -- 2 Related Work -- 2.1 Mobile Music App -- 2.2 The State of Art of Social Function of Mobile Music App -- 2.3 User Experience and Usability Evaluation -- 3 Experiment Design -- 3.1 Method -- 4 Results -- 4.1 Analysis of the Testing Results -- 5 Conclusion -- References -- Reconstruction Error-Based Efficient Deep Neural Network for Diabetes Prediction in the Korean Population -- 1 Introduction -- 2 Materials and Methods -- 2.1 Dataset -- 2.2 Proposed Method -- 2.3 Evaluation Methods -- 3 Experimental Study -- 4 Conclusion -- References -- Improved Cancer Classification with Supervised Variational Autoencoder on DNA Methylation Data -- 1 Introduction -- 2 Supervised Variational Autoencoder for Cancer Classification -- 2.1 Unsupervised Variational Autoencoder -- 2.2 Supervised Neural Network -- 3 Experimental Result -- 4 Conclusion -- References -- Cost-Sensitive Neural Network for Prediction of Hypertension Using Class Imbalance Dataset -- 1 Introduction. ; 2 Experimental Framework -- 2.1 Weighted Random Forest-Based Feature Selection -- 3 Cost-Sensitive Neural Network -- 3.1 Performance Measurements -- 4 Experimental Results -- 4.1 Dataset Generation and Weighted Random Forest Feature Importance -- 4.2 Evaluation Results -- 5 Conclusion and Future Work -- References -- Bayesian Meta Regression -- 1 Introduction -- 2 Related Work -- 3 Bayesian Meta Regression -- 3.1 Training BMR -- 4 Experimental Results -- 4.1 Predictive Performance -- 4.2 Model Uncertainty -- 5 Conclusion -- References -- Chromatographic Peaks of Dissolved Gases in Transformer Oil Identification by Random Forest -- 1 Introduction -- 2 Preliminaries -- 2.1 Random Forest Algorithm -- 2.2 Chromatography of Dissolved Gas -- 3 Process of Chromatographic Peaks Identification -- 3.1 Data Preprocessing -- 3.2 Classifier Design -- 4 Illustrative Example -- 5 Conclusions -- References -- Detection of Point Outliers in Meteorological Data (Case Study: Ulaanbaatar, Mongolia) -- 1 Introduction -- 1.1 Meteorological Data -- 2 Methods -- 3 Results -- 4 Conclusion -- References -- Short-Term Power Prediction for Photovoltaic Power Generation Based on IKPCA and PSO-BPNN -- 1 Introduction -- 2 Algorithm Principle -- 2.1 Kernel Principal Component Analysis -- 2.2 Particle Swarm Optimization -- 2.3 BP Neural Network -- 3 Feature Processing -- 4 Prediction Model -- 5 Example Analysis -- 5.1 Forecast Examples -- 5.2 Error Analysis -- 6 Conclusion -- References -- Research on Principal Component Feature Extraction Method Based on Improved Pearson Correlation Coefficient Analysis -- 1 Introduction -- 2 Correlation Analysis of Influencing Factors -- 2.1 Pearson Correlation Coefficient Principle -- 2.2 Improved Pearson Correlation Coefficient -- 3 Principal Component Analysis -- 4 Experiment Analysis. ; 4.1 Correlation Analysis of the Improved Pearson Correlation Coefficient -- 4.2 Feature Extraction Based on Principal Component Analysis -- 5 Conclusion -- References -- The Adaptive Compression System for Historical Data of Power Load -- 1 Introduction -- 2 Adaptive Compression Algorithm -- 3 Abnormal Data Correction -- 4 Adaptive Compression System -- 5 Experimental Analysis -- 6 Conclusion -- References -- Mongolian Spelling Error Correction Using Word NGram Method -- 1 Introduction -- 2 Proposed Method -- 3 How the Program Works -- 4 Experiments -- 5 Conclusion -- References -- Forecasting of the COVID-19 Spreading in Global Using the Exponential Smoothing Method -- 1 Introduction -- 2 Methodology -- 3 Datasets -- 4 Results and Analysis -- 5 Conclusions -- References -- Mongolian Part-of-Speech Tagging with Neural Networks -- 1 Introduction -- 2 Tagset Design -- 3 Method -- 3.1 Dataset -- 3.2 Feature Selection -- 3.3 Neural Model Architecture -- 4 Result -- 5 Conclusion -- References -- A Comparative Study of NoSQL and Relational Database -- 1 Database Solutions -- 2 Relational Database -- 2.1 The Cap Theorem -- 2.2 The ACID Properties -- 2.3 The BASE Properties -- 3 NoSQL Darabase Requirements -- 3.1 From Vertical Expansion to Horizontal Expansion -- 3.2 Classification of NoSql Databases -- 4 Comparision Between Related Databases (RDBMS) and NoSQL Databases -- 4.1 Comparision of MongoDB and MySQL Full-Text Research -- 5 Conclusion -- References -- Methodology in Securities Portfolio Selection from the Stock Exchange Listed Companies -- 1 Introduction -- 2 Material and Methods -- 2.1 Literature Review -- 2.2 Research Methodology -- 3 Results -- 4 Conclusion -- References -- Predicting Grade of General Entrance Exam Using Machine Learning Techniques -- 1 Introduction -- 2 Related Work -- 2.1 Important Factors for Prediction Student's Performance. ; 2.2 Machine Learning Methods -- 3 Data and Methodology -- 3.1 Data Collection -- 3.2 Methodology -- 4 Analysis and Result -- 4.1 Results in Feature Selection Experiments -- 4.2 Experiments -- 5 Conclusion -- References -- Predicting the Occurrence of Major Adverse Cardiac Events in Patients with Acute Coronary Syndrome Using Synthetic Minority Oversampling Technique and Machine Learning Approach -- 1 Introduction -- 2 Research Methods and Material -- 2.1 Experimental Framework -- 2.2 Data Extraction and Data Preprocessing -- 2.3 Dealing with Imbalanced Dataset -- 2.4 Statistical Analysis and Implementation Environments -- 2.5 Applied Machine Learning Algorithms -- 2.6 Performance Evaluation -- 3 Experimental Results and Discussion -- 3.1 Basic Characteristics -- 3.2 Experimental Results -- 3.3 Discussion -- 4 Conclusion -- References -- Process Analysis of the Online Course Development -- 1 Introduction -- 2 Research Methodology -- 3 Process Definition -- 4 Process Analysis -- 5 Conclusion -- References -- Comparison of Classification Analysis Using LASSO and Principal Component Analysis for Kidney Cancer -- 1 Introduction -- 2 Materials and Methods -- 2.1 Materials -- 2.2 Methods -- 3 Experimental Results -- 3.1 Feature Selection by LASSO and PCA -- 3.2 Classification Analysis Using Data Mining Method -- 4 Conclusions -- References -- A New Optimization Based on Parallelizing Hybrid PSOGSA Algorithm -- 1 Introduction -- 2 Three Standard Algorithms -- 3 Parallel PSOGSA -- 4 Experimental Data -- 5 Conclusion -- References -- Research on Natural Gas Customer Evaluation Model and System -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Data Status -- 3.2 Theory and Method -- 4 Computer Support System for Customer Evaluation (CSSCE) -- 4.1 System Design -- 4.2 Data Description -- 4.3 Analysis Results of CSSCE -- References. ; Chromatographic Peak Identification Based on Bayesian Classification Model -- 1 Introduction -- 2 Chromatographic Data Processing -- 2.1 Characteristic Parameters Selection -- 2.2 Identification Model Construction -- 3 Training of Identification Model -- 4 Example Test Result and Analysis -- 5 Conclusion -- References -- Analysis and Diagnosis of Generator Step-Up Transformer Faults -- 1 Introduction -- 2 Case 1: A 220 kV Substation I# Generator Step-Up Transformer -- 2.1 Diagnosis and Results -- 2.2 Failures Analysis -- 3 Case 2: No. 2 Generator Step-Up Transformer of a 110 kV Substation -- 3.1 Disassembly Analysis -- 3.2 Failures Judgment -- 4 Conclusions and Suggestions -- References -- Design of Architecture for Carpooling Based on Flexible Pickup and Delivery Locations -- 1 Introduction -- 2 Conceptual Framework -- 3 System Architecture -- 3.1 Web Application Firewall (WAF) -- 3.2 Load Balancer (LB) -- 3.3 Data Transformation -- 3.4 AI and Data Science Processing Modules Using Hadoop Ecosystem -- 3.5 Data Warehousing, ETL (Extract, Transform, Load) and Reporting -- 3.6 Datacenter -- 4 Conclusion and Future Research -- References -- Enhanced Conditional Handover for 5G Heterogeneous Networks -- 1 Introduction -- 2 CHO Procedure and Its Problems -- 3 An Enhancement for CHO -- 4 Simulation Results -- 4.1 Ping-Pong Handovers -- 4.2 Signaling Cost -- 5 Conclusion and Future Works -- References -- Evaluation of Panoramic Image Projection for "Ulaanbaatar GigaPixel Panaroma" -- 1 Introduction -- 2 Related Work -- 2.1 Studying 360 Image Projection Formats Geometry -- 2.2 Mapping from 2D to 3D -- 3 Proposed Evaluation Framework -- 3.1 Visualizing Gigapixel Image Using Proposed Projection Method -- 3.2 Comparison of Viewport Images -- 3.3 Evaluate with Viewport Application -- 4 Results -- 4.1 Experimental Setup -- 4.2 Result -- 5 Conclusion -- References. ; Distant Metastases in Patients with Primary Uveal Melanoma.
• Sommario/riassunto: This book presents selected papers from the Sixteenth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, in conjunction with the Thirteenth International Conference on Frontiers of Information Technology, Applications and Tools, held on November 5–7, 2020, in Ho Chi Minh City, Vietnam. It is divided into two volumes and discusses the latest research outcomes in the field of Information Technology (IT) including information hiding, multimedia signal processing, big data, data mining, bioinformatics, database, industrial and Internet of things, and their applications.
• Titolo autorizzato: Advances in Intelligent Information Hiding and Multimedia Signal Processing
• ISBN: 981-336-757-1
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910484358703321
• Lo trovi qui: Univ. Federico II
• Serie: Smart Innovation, Systems and Technologies, . 2190-3026 ; ; 212