Calls for Papers (special): Journal of Database Management (JDM)


Special Issue On: Advances Mobile Multimedia Data Communications over Edge Computing: Challenges and Emerging Applications

Submission Due Date
7/30/2022

Guest Editors
Prof. Honghao Gao, Shanghai University, China
Prof. Muddesar Iqbal, London South Bank University, UK
Prof. Walayat Hussain,University of Technology Sydney, Australia

Introduction
The prosperity of 5G technology brings the development of the unmanned vehicle, global/personal communication and networking, and remote sensing system. It has attracted great attention from academic and industrial communities in recent years. However, traditional networks depend on the closed and planned architecture to multimedia communications. Thus, for mobile network, it has many challenges such as self-organization, configuration update, network security, load balancing, and so on.

Mobile Multimedia Data Communications are organized by mobile devices, wireless protocol and mobile network. This infrastructure support presents certain advantages, such as high efficiency and centralized management, bringing signals such as data, voice, and message to each other mobile devices. We have witnessed that mobile edge computing which can process data at the nearest available nodes is emerging as a very promising computation architecture to handle ever-increasing demands. It enables the millions of connected mobile devices to execute real-time applications directly at the network edge and provides sufficient mobility support. Thus, we can consider the mobile networks as the middle layer to flexibly handle mobile communications, and then to carry out the multimedia upload and download. The field offers a bunch of interdisciplinary emerging techniques for the Mobile Multimedia Data Communications, such as wireless connection, big data handling, survivability analysis, offloading and load-balancing routing, as well as the application to the unmanned vehicle and personal global networking.

Objective
The focus for this special issue is on advances in Mobile Multimedia Data Communications over Edge Computing. Researchers from academic fields and industries worldwide are encouraged to submit high quality unpublished original research articles as well as review articles in broad areas relevant to theories, technologies and emerging applications.

Recommended Topics
  • Software-defined Mobile Multimedia Data Communications
  • UAV, airship and balloon networking for Multimedia
  • Machine learning/deep learning for Mobile Multimedia Data Communications
  • Handover and mobility management for Mobile Multimedia Data Communications
  • Mobile edge computing for Mobile Multimedia Data Communications
  • Big data and intelligent visualization for Mobile Multimedia Data Communications
  • Evolution computing for Mobile Multimedia Data Communications
  • Time series analysis of Mobile Multimedia Data Communications
  • Survivability analysis for Mobile Multimedia Data Communications
  • Load-balancing routing for Mobile Multimedia Data Communications
  • Trust, security, and privacy in Mobile Multimedia Data Communications
  • Application about unmanned vehicle, global/personal Multimedia communication.


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Advances Mobile Multimedia Data Communications over Edge Computing before February 20, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Honghao Gao
Lead Guest Editor
JOURNAL OF DATABASE MANAGEMENT (JDM)
E-mails: gaohonghao@shu.edu.cn

Special Issue On: AI-empowered Internet of Things for Data-Driven Computational Social Systems

Submission Due Date
9/30/2022

Guest Editors
Joe Xiang, Yale University, USA
Ahmedin M. Ahmed, Florida International University, USA
Xhemal Zenuni, South East European University, Macedonia

Introduction
Computational social systems (CSSs) focus on topics such as modeling, simulation, analysis, and understanding of social systems from the quantitative and/or computational perspective. "Systems" can be man-man, man-machine, and machine-machine organizations and adversarial situations as well as social media structures and their dynamics. With the advance of Internet of Things and communication technologies, various kinds of data from diverse areas can be acquired nowadays. As a result, CSSs are becoming ever more complex. Data-driven CSSs aim to conduct pre-competitive research on architectures and design, modeling, and analysis techniques for cyber-physical systems, with emphasis on making full use of big data and artificial intelligence. These applications include transportation systems, automation, security, smart buildings, smart cities, medical systems, energy generation and distribution, water distribution, agriculture, military systems, process control, asset management, and robotics. However, due to the progressive transformation from host-centric networking to information-centric networking, CSSs pose fundamental challenges in multiple aspects, such as heterogeneous data generation, efficient data sensing and collection, real-time data processing, and greater request arrival rates. Thus, there is a great need for a powerful way that can deal with emerging issues in data-driven CSSs more efficiently and effectively in the age of big data.

Objective
One of the key enablers for data-driven CSSs is the Internet of Things (IoT), which can exploit state-of-the-art communication technologies to support advanced services. However, IoT devices and management systems are typically manufactured by multiple vendors with multiple processes and standards. Furthermore, these devices will generate large amounts of data from different sources and types of sensors, which cannot be effectively processed by traditional methods. Therefore, the data transmission and processing in IoT for data-driven CSSs should be performed in a more intelligent manner. Recently, Artificial Intelligence (AI) has recently emerged as a powerful weapon that supports very implement efficient data analysis and make accurate decisions on service provisions in various kinds. Combining IoT with advanced AI technology can greatly benefit data-driven CSSs. AI-empowered solutions, such as deep learning and reinforcement learning, can better process the vast amounts of real-time data that stream from IoT devices to support intelligent services. In light of this potential, this special section provides a venue to cover comprehensively algorithms, frameworks, technologies, and applications of AI-empowered Internet of Things (AIoT) for data-driven CSSs.

This special issue focuses on the crossroads among scientists, industry practitioners, and researchers from the domains in brain science, internet of things, artificial intelligence, big data, complex network, etc. This special issue will cover comprehensively algorithms, frameworks, and technologies for data-driven data-driven CSSs.

Recommended Topics
  • Technical scope of the proposal includes, but not limited to:
  • AI based IoT data precess and management
  • IoT system architectures in data-driven CSSs
  • Intelligent communications for data-driven CSSs
  • AIoT for socio-technical systems
  • AIoT for cyber-physical systems
  • AIoT approaches for industrial scenarios
  • Smart sensing for data-driven CSSs
  • Advanced signal processing for data-driven CSSs
  • AI-enabled IoT for data-driven CSSs
  • Real-time analysis for data-driven CSSs
  • Machine learning and data mining for data-driven CSSs
  • Security, trust and privacy computing for data-driven CSSs
  • Explainable AI for data-driven CSSs
  • Real-world applications of AI and IoT for data-driven CSSs


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on AI-empowered Internet of Things for Data-Driven Computational Social Systems on or before September 30th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Joe Xiang
Ahmedin M. Ahmed
Xhemal Zenuni
Guest Editors
Journal of Database Management (JDM)
Emails: joe.xiang@ieee.org; Ahmedin.M.Ahmed@ieee.org; xh.zenuni@seeu.edu.mk

Special Issue On: Spatial-temporal Data Management and Application

Submission Due Date
10/12/2022

Guest Editors
Dr. Qilong Han, Harbin Engineering University, China.
Dr. Wenjie Zhang, The University of New South Wales, Austria.
Dr. Yafei Li, Zhengzhou University, China.
Dr. Xiaoou Ding, Harbin Institute of Technology, China.

Introduction
With the rapid growth of smartphones and location-based devices, we have access to vast amounts of spatio-temporal data. Spatio-temporal data management is the cornerstone of big data processing, and it is of great significance to support convection computing, intelligent analysis and mining. The importance of extracting knowledge from spatio-temporal data can solve a wide range of real-world problems, such as intelligent transportation and urban planning.
Artificial intelligence technologies such as deep learninghave achieved remarkable success in spatio-temporal data mining. Extending the application of spatial and spatio-temporal data analysis requires more advanced algorithmsand technologies to capture, store, manage, analyze, and visualize spatial or spatio-temporal data.

Objective
The special issue of Spatio-temporal Data Management and Intelligent Analysis serves as a forum for researchers and practitioners to present their latest research findings and engineering experiences in theoretical foundations, techniques, empirical research and novel applications.

Recommended Topics
  • Architecture for spatial-temporal data processing
  • Spatial temporal data mining
  • Spatial temporal data visualization
  • Spatial temporal data predication
  • Spatial temporal data fusion
  • Spatial temporal data privacy protection
  • Streaming data processing
  • Traffic data management
  • Industrial big data analysis


Submission Procedure
Researchers and practitioners are invited to submit papers for this special theme issue on Spatial-temporal Data Management and Application before October 12th, 2022. All submissions must be original and may not be under review by another publication. INTERESTED AUTHORS SHOULD CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/publish/contributor-resources/before-you-write/. All submitted papers will be reviewed on a double-blind, peer review basis. Papers must follow APA style for reference citations.

All inquiries should be directed to the attention of:
Dr. Qilong Han,
Dr. Wenjie Zhang,
Dr. Yafei Li,
Dr. Xiaoou Ding.
Guest Editors
Journal of Database Management (JDM)
Emails: hanqilong@hrbeu.edu.cn; Wenjie.zhang@unsw.edu.au; ieyfli@zzu.edu.cn; dingxiaoou@hit.edu.cn