BigData 2018 - FGCS SI on Big Data and Internet of Things

Big Data and Internet of Things (IoT) have produced profound impacts to our everyday life and are hands in hands to offer better quality of services, better fusion of technologies, instant communications and express deliveries of services. The fusion between Big Data and IoT can produce positive impacts in the next-generation of our development in smart cities, national planning and forecasting of our future activities and investments. Big Data and IoT fusion can be pervasive to our daily life in healthcare, finance, security, transportation and education. To enable next generation of different services, we need to understand and realize the significance of fusion between hardware and software, and between security and reality. By doing so, we can get very light and portable devices that can contain petabytes of data, which need layers of security functions and services to make them protected. We can also use one device that can be a mobile phone, instant messenger, video conferencing center, GPS, database, investment analytics, weather forecaster, camera and data processing center. We can also provide real time security services that can destroy a vast variety of Trojans and viruses, block all security breaches, restore things back to normal and keep the owners alert and safe in real time. Big Data and IoT fusion can help high-tech sectors such as weather forecasting, space technology and biotechnology to enable thousands of simulations to be completed in seconds. All these high tech features have become reality and not just in movies enabled by the impacts of Big Data and IoT fusion. In this call, we seek high quality papers that can demonstrate proofs-of-concept, services, solutions for research challenges, case studies, analytics, real world examples and successful deliveries of Big Data and IoT fusion. Top papers from the international conference on Big Data Analytics and Business Intelligence http://www.xjtlu.edu.cn/en/events/2017/06/internat... at Xi’an Jiaotong-Liverpool University in China will also be invited and authors must add new contributions of another 60% and above.
Topics
Submissions could consist of theoretical and applied research in topics including, but not limited to:
Big Data and IoT fusion for health informatics and medical services
Big Data and IoT fusion for business intelligence and finance
Big Data and IoT fusion for modern education
Big Data and IoT fusion for energy applications and services
Big Data and IoT fusion for natural science, weather forecasting and earth science
Big Data and IoT fusion for smart cities
Big Data and IoT fusion for security, privacy and trust
Big Data and IoT fusion for 5G networks and communications
Big Data and IoT fusion for mobile services and computing
Big Data and IoT fusion for the next generation architecture
Big Data and IoT fusion for any forms of predictive modeling and analytics
Big Data and IoT fusion for real world examples and case studies
Proposed schedule
Submission Deadline (Full Paper): 30 September 2017 (A pre-screening process will be used)
Notification of Acceptance/Revisions: 30 December 2017
Final paper production deadline: 31 March 2018
Publication Date: expected in summer 2018
Submission Guidelines
Each paper will go through a rigorous peer-review process by at least three international reviewers. Submissions must be made through https://www.evise.com/evise/jrnl/FGCS, and selecting article type name of SI: IoTBD_fusion".
Guest Editors
Dr. Gang Sun (Managing Guest Editor, MGE)
University of Electronic Science and Technology of China (UESTC), Chengdu, China
gangsun-AT-uestc.edu.cn
Dr. Victor Chang
Xi’an Jiaotong Liverpool University, Suzhou China
ic.victor.chang-AT-gmail.com
Prof. Steven Guan
Xi’an Jiaotong Liverpool University, Suzhou China
Steven.Guan-AT-xjtlu.edu.cn
Dr. Muthu Ramachandran
Leeds Beckett University, Leeds, UK
muthuuk-AT-yahoo.co.uk
Prof. Jin Li,
Guangzhou University, Guangzhou, China
jinli71-AT-gmail.com
Prof. Dan Liao
University of Electronic Science and Technology of China (UESTC), Chengdu, China
liaodan-AT-uestc.edu.cn