CALL FOR PAPERS
Special Session on Big Data Analytics in Urban Computing and Smart Cities
Modern cities are facing challenging problems in terms of deterioration of environment quality, heavy traffic congestion, over-consumption of energy, and other socio-technical issues. There are multiple dimensions to this complex and taxing problem, which requires real-time analytics based on large volumes of multiple-source data sets for real-time predictions and decision-making. The research work on .urban computing. (UC) have provided solutions based on data mining techniques, which can help meet some of these challenges in urban planning and management.
Building smart cities require multi-disciplinary teams composed of researchers and practitioners working together to solve urban computing and smart city service problems. Coping with emerging challenges in engineering diverse complex cyber systems requires the use of state-of-the-art technologies and solutions in smart sensing/devices/materials, IoT, networking, cloud computing, big data, and mobile cloud services, to build innovative smart city services and application systems.
The Special Sessionp on Big Data Analytics in Urban Computing and Smart Cities is set up to provide a unique platform for multi-disciplinary researchers, industry solution vendors, and government agencies to exchange innovative ideas, research results and solutions, as well as project experience reports and stories. BDAURCSC2018 will include a highly selective program of technical papers, demos, panel discussions and keynote speeches. We welcome high-quality papers that describe original and unpublished research on the real issues, challenges and needs in building smart cities for now and future.
The topics include but are not limited to the following:
Smart Foundations
- Software engineering for smart cities
- Self-adaptive issues in big data analytics
- Emergent and evolving behaviors in smart cities
- Risk control in decision support systems based on big data analytics
Smart Transportation
- Intelligent transportation systems and technologies
- Smart city transportation planning and evaluation
- Smart bike programs and assessments
- Transportation behavior analysis and prediction
Smart Utilities
- Smart sewage and water
- Smart electricity, grids, meters
- City utility consumption and economic analysis
Smart Public Health
- City healthcare service monitoring assessment
- Smart medical service systems and solutions
- City public health and management
- Smart medical and healthcare systems and tools
Smart Public Safety
- City crime watching and alerting systems
- City emergency management and infrastructures
- City emergency alerting/responding/recovery
Smart Social Services
- Smart food, shelter and public housing
- Smart recreation
- Smart education and training
Smart Governance
- Smart city permit service systems and solutions
- Smart city IT connectivity management
- Smart city data management and warehouse
- Smart city network management and services
Smart Communities and Neighborhoods
- Smart home and smart building
- Smart social community networks/infrastructures
- City community and association management
- Smart city community connectivity and solutions
Smart Environment
- City environment monitoring and analysis
- Smart illegal dumping detection and monitoring
- City air/water/soil quality monitor and analytics
Submission:
Please submit to the track on
Big Data Analytics in Urban Computing and Smart Cities
through the conference submission portal.
Conference Contact Information:
DMSVIVA 2018 Conference Secretariat
KSI Research Inc.
156 Park Square
Pittsburgh, PA 15238 USA
E-mail: dmsviva2018@easychair.org
Important Dates:
Paper submission due: Midnight EST, March 14, 2018 (extended hard deadline)
Notification of acceptance: April 20, 2018
Early registration deadline: May 10, 2018
Camera-ready copy: May 10, 2018
Conference organized by:
KSI Research, USA
Special Session Organizer:
Dr. Zhi Li
Professor of Software Engineering
Vice Dean of College of Computer
Science and Information Technology
Head of Software Engineering Department
Guangxi Normal University, China
Email: zhili18888@163.com (priority)
or zhili@gxnu.edu.cn