2019 3rd International Symposium on Computer Science and Intelligent Controls (ISCSIC 2019)

[基本信息]

会议名称:2019 3rd International Symposium on Computer Science and Intelligent Controls (ISCSIC 2019)

开始日期:2019-09-25

结束日期:2019-09-27

所在国家:Netherlands

所在城市:Amsterdam

[重要日期]

摘要截稿日期:2018-12-25

全文截稿日期:2018-12-31

[会务组联系方式]

会议网站:http://www.iscsic.org/

[征文范围及要求]

Topics of interest for submission include, but are not limited to:

Cyber-physical systems (CPS)

· Modeling and control of CPS, such as networked control, distributed optimization, and distributed learning, modeling of tightly integrated physical processes, computation platforms and networks, autonomy in CPS

· Networking infrastructure and management for CPS, such as quality of services, heterogeneous networks, wireless sensor networks, scalability of complex networks

· Software tools and middleware for CPS research

· Human computer/machine interaction

· Non-functional issues for CPS, such as security, privacy, and dependability

· Development and implementation of various CPS

Internet of Things (IoT)

· Networking infrastructure for IoT to address heterogeneity, scalability, and Interoperability issues

· IoT communication and coordination middleware and platforms

· Intelligent sensing of environment, physiological sensing, human motion tracking

· Non-functional issues for CPS, such as security, privacy, and dependability

· Applications of IoT in smart home, smart building, smart city, smart factory, smart grid, healthcare, transportation and logistics

Intelligent Control

· Intelligent control theories, such as adaptive, predictive, robust control, distributed/decentralized control, optimization, decision support systems, and process control and stability

· Autonomous systems

· Computational intelligence and natural computing

· Applications of intelligent control in various application domains, such as aerospace, manufacturing, medicine, agriculture, engineering, etc.

Traditional Computer Science Topics

· Networked and distributed systems

· Computer vision, image and signal processing

· Machine learning and artificial intelligence, such as supervised, unsupervised learning, fuzzy logic, neural networks, deep learning, genetic programming

· Pattern recognition

· Modeling and formal methods

· Software engineering

· Security, privacy, reliability, and dependability