Guest Editors
Dr. Yu-Hsiu Lin, National Taipei University of Technology, Taiwan.
Dr. Kai-Lung Hua, National Taiwan University of Science and Technology, Taiwan.
Dr. Heri Prasetyo, Universitas Sebelas Maret, Indonesia.
Summary
Recent breakthrough technologies are trending up for today’s technologically-driven society, from fundamental constituents of a city, including homes, buildings and factories, to smart ones. Researchers who are working on Artificial Intelligence of Things (AIoT) covering a wide range of subjects in Internet of Things (IoT) and Artificial Intelligence (AI) comprising expert systems, Machine Learning and Deep Learning have collaborated together to turn the concept of “smart homes”, “smart buildings” and “smart factories” from hype to reality. AIoT technologies have received tremendous attention from both academia and industry, as they now own numerous exciting applications in homes (buildings), manufacturing and cities with intelligent transportation systems. However, there are still challenges that need to be overcome for their foreseeable development. For instance, the paradigm is based on cloud computing, which is based on the network connectivity of the Internet that is not always available or is limited. In addition, it is not able to process data that need to be processed for real-time actionable insights at the data source. Compared to cloud computing, edge computing is a promising technique dedicated to, for example, AI enabled directly at the edge of the network for immediate decision making in practical fields of interest such as smart homes. Edge devices can be IoT devices as gateways, industrial controllers or switches, routers or sensors in homes, factories and cities. Edge computing can extend cloud computing and cover the shortages of cloud computing for applications and services developed for smart homes, manufacturing and cities through data science analytics from smart single/multiple sensing. In the meanwhile, they must be trustworthy and reliable with data security and privacy protection considered.
The objective of this special issue in CSSE is to explore novel consolidated and thoroughly evaluated methodologies and applications related to Advanced Cognitive Sensing Based on Edge-Cloud Computing in Smart Homes, Manufacturing and Cities Considering Data Security and Privacy Protection.
Keywords
– Smart single/multiple sensing (a multi-sensory framework) based on edge-cloud computing in smart homes (buildings)/manufacturing/cities
– AIoT/Artificial Intelligence/Computer Vision/Image Processing applied to smart homes (buildings)/manufacturing/cities
– Innovative applications and services for smart homes (buildings)/manufacturing/cities
– Multi-modal signal processing and analysis (reinforcement learning) for electric vehicles/autonomous vehicles/automated guided vehicles/autonomous drones
– Visible/infrared thermal/multispectral image analysis
– Vehicle robotics and control systems
– Collaborative/cooperative methods
– Data security and privacy protection in smart homes (buildings)/manufacturing/cities
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