Special Section on Smart City Oriented Cyber-Physical Systems
摘要截稿:
全文截稿: 2019-12-30
影响因子: 2.663
期刊难度:
CCF分类: 无
中科院JCR分区:
• 大类 : 计算机科学 - 3区
• 小类 : 计算机:硬件 - 3区
• 小类 : 计算机:跨学科应用 - 3区
• 小类 : 工程:电子与电气 - 3区
Overview
With the popularization of information technology and the continuous progress of big data technology, it has been urgent to generate various types of network intelligence and dynamic information collection systems. The Internet of Things (IoT) and computers with powerful functions can simulate urban operation by operating under reasonable safety regulation. However, a series of practical problems should be solved to make breakthroughs and realize sustainable development of a new urban generation.
Information technology is widely used for multi-dimensional aggregation in smart cities. By using technologies, such as networking, intelligent sensor placement can be applied in cities for the creation of object-linked information integration. Moreover, the collected information can be integrated with the Internet and other networks based on intelligent analyses. Such systems can implement analyses according to the requirements for intelligent decision support and communication. Practical systems can be established through information technology for public service, public industry, and public management. Also, the service efficiency of the government and the life quality of the public can be improved. A smart city emphasizes high-efficiency information processing ability, information resource integration ability, and management ability to coordinate various activities. Interdisciplinary, multi-level, cross-sectional, and cross-regional cooperation can realize the interconnection and mutual understanding among people, objects, networks and industries. Consequently, new models and new forms of urban development can be realized, which reflect the wisdom of smart cities.
As a complex multi-dimensional system, Cyber-Physical System (CPS) is a comprehensive computing, network and physical environment. The information world can be closely integrated with the physical world through the combination of control technology, communication technology and computing technology. With close relation to human life and social progress, IoT has been widely used in various fields such as industrial control, environmental monitoring, intelligent medical, intelligent transportation, intelligence grid, military reconnaissance and aerospace. As a typical application of IoT, intelligent medical systems can provide reliable, safe and real-time medical services in a wired or wireless way. The key information in intelligent transportation system, such as traffic signals, can be monitored in real time. The system analyzes, computes, and publishes a great deal of information, so that real-time road information can be shared by vehicles. By observing and real-time monitoring the system, road managers can release information and guide vehicles to improve urban traffic conditions.
High quality and up-to-date technology of CPS and IoT are the target of this special issue. It can be taken as a forum for researchers from different countries to discuss their works and progresses. Particularly, the issue aims to show the latest progress and development in the discovery and exploration of IoT. Both state-of-the-art practical applications and theoretical studies can be submitted. The submitted papers will be peer-reviewed and selected according to their quality and relevance to the special issue.
Topics:
Topics of interest include the following:
- Integration of provenance into Cyber-Physical Systems(CPS) and Internet-of-Things
- Internet of Vehicles and Internet of Things
- Real-time meanings in different application spaces: energy, transportation, medical and aeronautics
- Pervasive and Ubiquitous Technology in IoT
- Mining of spatial data in IoT
- Multimedia Communications and Visual Signal Processing in IoT
- Physical/virtual testbeds for real-time closed-loop control
- Robot navigation in IoT
- Knowledge reasoning in physical systems
- Machine learning and other approaches for real time data analytics