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Roy C. Park
Researcher at Sangji University
Publications - 31
Citations - 514
Roy C. Park is an academic researcher from Sangji University. The author has contributed to research in topics: Service (business) & Cloud computing. The author has an hindex of 11, co-authored 30 publications receiving 375 citations. Previous affiliations of Roy C. Park include Dongseo University.
Papers
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Journal ArticleDOI
Chatbot-based heathcare service with a knowledge base for cloud computing
Kyung-Yong Chung,Roy C. Park +1 more
TL;DR: The proposed framework enables a smooth human–robot interaction that supports the efficient implementation of the chatbot healthcare service and proposes a chatbot-based healthcare service with a knowledge base for cloud computing.
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P2P cloud network services for IoT based disaster situations information
Kyung-Yong Chung,Roy C. Park +1 more
TL;DR: The proposed service is to combine IoT/M2M network with P2P cloud service for rapid and smooth response in the event of a disaster and provide the results as social services such as SNS.
Journal ArticleDOI
Knowledge-based health service considering user convenience using hybrid Wi-Fi P2P
TL;DR: The proposed service provides a high-quality health service by building a network using a dispersed cross-layer optimization algorithm that optimizes variables of the transmission control protocol/internet protocol stack in order to improve the energy efficiency of the u-health sensor network and system reliability.
Journal ArticleDOI
PHR open platform based smart health service using distributed object group framework
Kyung-Yong Chung,Roy C. Park +1 more
TL;DR: A PHR open platformbased smart health system is distributed object group framework based smart health service for managing chronic diseases using the distributed objectGroup framework.
Journal ArticleDOI
M2M-based smart health service for human UI/UX using motion recognition
TL;DR: An M2M-based smart health service for human UI/UX using motion recognition that can easily respond to dynamic changes in the wireless environment and conduct systematic management based on user’s motion recognition using technology to support mobility among sensor nodes in M1M.