| Título : |
6th International Conference, FDSE 2019, Nha Trang City, Vietnam, November 27–29, 2019, Proceedings |
| Tipo de documento: |
documento electrónico |
| Autores: |
Dang, Tran Khanh, ; Küng, Josef, ; Takizawa, Makoto, ; Bui, Son Ha, |
| Mención de edición: |
1 ed. |
| Editorial: |
[s.l.] : Springer |
| Fecha de publicación: |
2019 |
| Número de páginas: |
XVI, 748 p. 416 ilustraciones, 186 ilustraciones en color. |
| ISBN/ISSN/DL: |
978-3-030-35653-8 |
| Nota general: |
Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos. |
| Palabras clave: |
Software de la aplicacion Inteligencia artificial Protección de datos Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Seguridad de datos e información Imágenes por computadora visión reconocimiento de patrones y gráficos |
| Índice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro constituye las actas de la 6.ª Conferencia Internacional sobre Ingeniería de Seguridad y Datos del Futuro, FDSE 2019, celebrada en la ciudad de Nha Trang, Vietnam, en noviembre de 2019. Los 38 artículos completos y 14 artículos breves presentados junto con 2 artículos de discursos principales fueron cuidadosamente revisado y seleccionado entre 159 presentaciones. Los artículos seleccionados están organizados en los siguientes títulos temáticos: conferencias magistrales invitadas, estudios avanzados en aprendizaje automático, avances en el procesamiento y la optimización de consultas, análisis de big data y sistemas distribuidos, aprendizaje profundo y aplicaciones, infraestructura y gestión de datos en la nube, ingeniería de seguridad y privacidad, Autenticación y control de acceso, Blockchain y ciberseguridad, sistemas y aplicaciones de gestión de datos emergentes, artículos breves: seguridad e ingeniería de datos. |
| Nota de contenido: |
Invited Keynotes -- Individual Privacy Supporting Organisational Security -- A New Test Suite Reduction Approach Based on Hypergraph Minimal Transversal Mining -- Advanced Studies in Machine Learning -- Machine Learning Based Monitoring of the Pneumatic Actuators' Behavior Through Signal Processing Using Real-world Data Set -- A Comparative Study of the Use of Coresets for Clustering Large Datasets -- Leakage Classification Based on Improved KullbackLeibler Separation in Water Pipelines -- Mining Incrementally Closed Itemsets over Data Stream with the Technique of Batch-Update -- A Combination Solution for Sleep Apnea and Heart Rate Detection based on Accelerometer Tracking -- A Model for Real-time Traffic Signs Recognition based on the YOLO Algorithm - A Case Study using Vietnamese Traffic Signs -- Disease Prediction using Metagenomic Data Visualizations based on Manifold Learning and Convolutional Neural Network -- An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese -- Advances in Query Processing and Optimization -- Computing History-Dependent Schedules for Processes with Temporal Constraints -- Finding All Minimal Maximum Subsequences in Parallel -- OCL2PSQL: An OCL-to-SQL Code-Generator for Model-Driven Engineering -- Big Data Analytics and Distributed Systems -- Framework for Peer-to-Peer Data Sharing over Web Browsers -- Efficiently Semantic-aware Pairwise Similarity an Applicable Use-case -- Lower Bound on Network Diameter for Distributed Function Computation -- Deep Learning and Applications -- A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification -- Age and Gender Estimation of Asian Faces using Deep Residual Network -- Light-weight Deep Convolutional Network-Based Approach for Recognizing Emotion on FPGA Platform -- Metagenome-based Disease Classification with Deeplearning and Visualizations based on Self-Organizing Maps -- Cloud Data Management and Infrastructure -- On Analyzing the Trade-off between Over-Commitment Ratio and Quality of Service in NFV Datacenter -- Dynamic Data Management Strategy on Cloud Network by Fog Computing Model -- Openness in Fog Computing for the Internet of Things -- A Top-Down Scheduling for Time Efficient Data Aggregation in WSNs -- Security and Privacy Engineering -- A New Technique to Improve the Security of Elliptic Curve Encryption and Signature Schemes -- A Visual Model for Privacy Awareness and Understanding in Online Social Networks -- A Method to Enhance the Security Capability of Python IDE -- Studying Machine Learning Techniques for Intrusion Detection Systems -- Authentication and Access Control -- Enforcing Access Controls in IoT Networks -- Resource-constrained IoT Authentication Protocol: An ECC-based Hybrid Scheme for Device-to-Server and Device-to-Device Communications -- Adventures in the Analysis of Access Control Policies -- Blockchain and Cybersecurity -- Detect Abnormal Behaviours in Ethereum Smart Contracts Using Attack Vectors -- MyWebGuard: Toward a User-Oriented Tool for Security and Privacy Protection on the Web -- Blockchain-based Open Data: An Approach for Resolving Data Integrity and Transparency -- Emerging Data Management Systems and Applications -- GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning -- Visualization of Medical Images Data Based on Geometric Modeling -- Evaluating Session-Based Recommendation Approaches on Datasets from Different Domains -- Exploiting Social Data to Enhance Web Search -- Retinal Vessels Segmentation by Improving Salient Region Combined with Sobel Operator Condition -- Energy Saving Solution for Air Conditioning Systems -- Short papers: Security and Data Engineering -- Identifying Minimum Set of Persons That Influenced by a Promotion Campaign -- Facial Expression Recognition On Static Images -- Cryptocurrencies Price Index Prediction Using Neural Networks On Bittrex Exchange -- Application of Fuzzy Logic in University Suggestion System for Vietnamese High School Students -- Towards an Improvement of Complex Answer Retrieval System -- Keyword-search Interval-query Dynamic Symmetric Searchable Encryption -- The Implicit Effect of Items Rating on Recommendation System -- Counting People Using Images from Two Low Cost Webcams -- Predicting the Price of Bitcoin Using Hybrid ARIMA and Machine Learning -- Deep Learning Approach for Receipt Recognition -- Efficient CNN Models for Beer Bottle Cap Classification Problem -- An Approach for Plagiarism Detection in Learning Resources -- Detecting Kuzushiji Characters from Historical Documents by Two-dimensional Context Box Proposal Network -- An Empirical Study on Fabric Defect Classification using Deep Network Models. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
6th International Conference, FDSE 2019, Nha Trang City, Vietnam, November 27–29, 2019, Proceedings [documento electrónico] / Dang, Tran Khanh, ; Küng, Josef, ; Takizawa, Makoto, ; Bui, Son Ha, . - 1 ed. . - [s.l.] : Springer, 2019 . - XVI, 748 p. 416 ilustraciones, 186 ilustraciones en color. ISBN : 978-3-030-35653-8 Libro disponible en la plataforma SpringerLink. Descarga y lectura en formatos PDF, HTML y ePub. Descarga completa o por capítulos.
| Palabras clave: |
Software de la aplicacion Inteligencia artificial Protección de datos Procesamiento de imágenes Visión por computador Aplicaciones informáticas y de sistemas de información Seguridad de datos e información Imágenes por computadora visión reconocimiento de patrones y gráficos |
| Índice Dewey: |
005.3 Ciencia de los computadores (Programas) |
| Resumen: |
Este libro constituye las actas de la 6.ª Conferencia Internacional sobre Ingeniería de Seguridad y Datos del Futuro, FDSE 2019, celebrada en la ciudad de Nha Trang, Vietnam, en noviembre de 2019. Los 38 artículos completos y 14 artículos breves presentados junto con 2 artículos de discursos principales fueron cuidadosamente revisado y seleccionado entre 159 presentaciones. Los artículos seleccionados están organizados en los siguientes títulos temáticos: conferencias magistrales invitadas, estudios avanzados en aprendizaje automático, avances en el procesamiento y la optimización de consultas, análisis de big data y sistemas distribuidos, aprendizaje profundo y aplicaciones, infraestructura y gestión de datos en la nube, ingeniería de seguridad y privacidad, Autenticación y control de acceso, Blockchain y ciberseguridad, sistemas y aplicaciones de gestión de datos emergentes, artículos breves: seguridad e ingeniería de datos. |
| Nota de contenido: |
Invited Keynotes -- Individual Privacy Supporting Organisational Security -- A New Test Suite Reduction Approach Based on Hypergraph Minimal Transversal Mining -- Advanced Studies in Machine Learning -- Machine Learning Based Monitoring of the Pneumatic Actuators' Behavior Through Signal Processing Using Real-world Data Set -- A Comparative Study of the Use of Coresets for Clustering Large Datasets -- Leakage Classification Based on Improved KullbackLeibler Separation in Water Pipelines -- Mining Incrementally Closed Itemsets over Data Stream with the Technique of Batch-Update -- A Combination Solution for Sleep Apnea and Heart Rate Detection based on Accelerometer Tracking -- A Model for Real-time Traffic Signs Recognition based on the YOLO Algorithm - A Case Study using Vietnamese Traffic Signs -- Disease Prediction using Metagenomic Data Visualizations based on Manifold Learning and Convolutional Neural Network -- An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese -- Advances in Query Processing and Optimization -- Computing History-Dependent Schedules for Processes with Temporal Constraints -- Finding All Minimal Maximum Subsequences in Parallel -- OCL2PSQL: An OCL-to-SQL Code-Generator for Model-Driven Engineering -- Big Data Analytics and Distributed Systems -- Framework for Peer-to-Peer Data Sharing over Web Browsers -- Efficiently Semantic-aware Pairwise Similarity an Applicable Use-case -- Lower Bound on Network Diameter for Distributed Function Computation -- Deep Learning and Applications -- A Combined Enhancing and Feature Extraction Algorithm to Improve Learning Accuracy for Gene Expression Classification -- Age and Gender Estimation of Asian Faces using Deep Residual Network -- Light-weight Deep Convolutional Network-Based Approach for Recognizing Emotion on FPGA Platform -- Metagenome-based Disease Classification with Deeplearning and Visualizations based on Self-Organizing Maps -- Cloud Data Management and Infrastructure -- On Analyzing the Trade-off between Over-Commitment Ratio and Quality of Service in NFV Datacenter -- Dynamic Data Management Strategy on Cloud Network by Fog Computing Model -- Openness in Fog Computing for the Internet of Things -- A Top-Down Scheduling for Time Efficient Data Aggregation in WSNs -- Security and Privacy Engineering -- A New Technique to Improve the Security of Elliptic Curve Encryption and Signature Schemes -- A Visual Model for Privacy Awareness and Understanding in Online Social Networks -- A Method to Enhance the Security Capability of Python IDE -- Studying Machine Learning Techniques for Intrusion Detection Systems -- Authentication and Access Control -- Enforcing Access Controls in IoT Networks -- Resource-constrained IoT Authentication Protocol: An ECC-based Hybrid Scheme for Device-to-Server and Device-to-Device Communications -- Adventures in the Analysis of Access Control Policies -- Blockchain and Cybersecurity -- Detect Abnormal Behaviours in Ethereum Smart Contracts Using Attack Vectors -- MyWebGuard: Toward a User-Oriented Tool for Security and Privacy Protection on the Web -- Blockchain-based Open Data: An Approach for Resolving Data Integrity and Transparency -- Emerging Data Management Systems and Applications -- GMeta: A Novel Algorithm to Utilize Highly Connected Components for Metagenomic Binning -- Visualization of Medical Images Data Based on Geometric Modeling -- Evaluating Session-Based Recommendation Approaches on Datasets from Different Domains -- Exploiting Social Data to Enhance Web Search -- Retinal Vessels Segmentation by Improving Salient Region Combined with Sobel Operator Condition -- Energy Saving Solution for Air Conditioning Systems -- Short papers: Security and Data Engineering -- Identifying Minimum Set of Persons That Influenced by a Promotion Campaign -- Facial Expression Recognition On Static Images -- Cryptocurrencies Price Index Prediction Using Neural Networks On Bittrex Exchange -- Application of Fuzzy Logic in University Suggestion System for Vietnamese High School Students -- Towards an Improvement of Complex Answer Retrieval System -- Keyword-search Interval-query Dynamic Symmetric Searchable Encryption -- The Implicit Effect of Items Rating on Recommendation System -- Counting People Using Images from Two Low Cost Webcams -- Predicting the Price of Bitcoin Using Hybrid ARIMA and Machine Learning -- Deep Learning Approach for Receipt Recognition -- Efficient CNN Models for Beer Bottle Cap Classification Problem -- An Approach for Plagiarism Detection in Learning Resources -- Detecting Kuzushiji Characters from Historical Documents by Two-dimensional Context Box Proposal Network -- An Empirical Study on Fabric Defect Classification using Deep Network Models. |
| En línea: |
https://link-springer-com.biblioproxy.umanizales.edu.co/referencework/10.1007/97 [...] |
| Link: |
https://biblioteca.umanizales.edu.co/ils/opac_css/index.php?lvl=notice_display&i |
|  |
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