Description
Advances in Internet, Data and Web Technologies, 1st ed. 2020
The 8th International Conference on Emerging Internet, Data and Web Technologies (EIDWT-2020)
Lecture Notes on Data Engineering and Communications Technologies Series, Vol. 47
Coordinators: Barolli Leonard, Okada Yoshihiro, Amato Flora
Language: English
Subject for Advances in Internet, Data and Web Technologies:
Keywords
Big Data and Cloud Computing; Data Centers and IT Virtualization Technologies; Databases and Data Warehouses; Data Management and Information Retrieval; Data Sensing; Integration and Querying Systems and Interfaces; Data Security; Trust and Reputation; Data Visualization and Representation Tools; Engineering of Data Sets; Repositories and Digital Infrastructures; EIDWT; EIDWT 2020
576 p. · 15.5x23.5 cm · Paperback
Description
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This book presents original contributions on the theories and practices of emerging Internet, data and web technologies and their applicability in businesses, engineering and academia. The Internet has become the most proliferative platform for emerging large-scale computing paradigms. Among them, data and web technologies are two most prominent paradigms, and manifest in a variety of forms such as data centers, cloud computing, mobile cloud, mobile web services and so on. Together, these technologies form a digital ecosystem based on the data cycle, from capturing to processing, analysis and visualization. The investigation of various research and development issues in this digital ecosystem is made all the more important by the ever-increasing needs of real-life applications, which involve storing and processing large amounts of data.
As a key feature, the book addresses advances in the life-cycle exploitation of data generated from the digital ecosystem, and datatechnologies that create value for businesses, moving toward a collective intelligence approach.
Given its scope, the book offers a valuable reference guide for researchers, software developers, practitioners and students interested in the field of data and web technologies.
Judging Students’ Learning Style from Big Video Data Using Neural Network.- A Multi-Modal Interface for Control of Omnidirectional Video Playing on Head Mount Display.- A Fuzzy-based System for Actor Node Selection in WSANs Considering Task Accomplishment Time as a New Parameter.- Performance Evaluation of WMN-PSODGA Hybrid Simulation System for Node Placement.- Evaluation of Parallel Data Transmission in the Mobile Fog Computing Model.- Cognitive Approaches for Sensor Data Analysis in Transformative Computing.- Development and Evaluation of Road State Information Platform based on Various Environmental Sensors in Snow Countries.- Design of a DSL for Converting Rust Programming Language into RTL.- Blockchain for IoT-Based Digital Supply Chain: A Survey.
