https://scholar.dgist.ac.kr/handle/20.500.11750/91 2026-04-21T16:53:23Z https://scholar.dgist.ac.kr/handle/20.500.11750/60266 Title: Performance Analysis of Sensor Fusion Models Using Unmanned Ground Vehicle Author(s): Minsu-Jo; Baek, Youngmi; Lee, Jin-Hee; Son, Sang Hyuk Abstract: In this paper, we analyze the performance of various sensor fusion models using an unmanned ground vehicle. In the given attack scenarios, we examine how the attacks influence on each fusion model by comparing the results of the models. We conduct the experiments with real measurement data obtained from an unmanned ground vehicle. © 2016 IEEE. 2015-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60265 Title: RemCare-Remote Caregiver Using Integrated Framework for People with Cognitive Disability Author(s): Lee, Jin-Hee; Son, Sang Hyuk Abstract: In recent years, people with cognitive disability has increased rapidly. The increase of them considerably affects the family and society that interact with the cognitively disabled person. Children with developmental disability or patients with dementia need to monitor and track their behaviors for their safety. We design smart tracking system which effectively can help to trace their location and to monitor their activities. The system applies a wireless sensor network with an efficient sensor deployment method and an adaptive packet scheduling algorithm. In addition, it provides the real-time monitoring to observe their situation and gives a quick alerting to them and caregivers. In this paper, we present an overview of an integrated framework. © 2016 IEEE. 2015-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60264 Title: A Survey of Obstacle Detection Using Vision Sensor for Autonomous Vehicles Author(s): Park, Jicheol; Lee, Jin-He; Son, Sang Hyu Abstract: Obstacle detection is one of the key requirements for autonomous vehicles. Many researchers have developed the techniques for obstacle detection for the safety of the drivers. Vision-based technique is one of popular obstacle detection techniques. We survey vision-based obstacle detection approaches, and present two approaches. In future work, we intend to implement a dynamic obstacle detection technique using vision sensors in urban road. © 2016 IEEE. 2015-12-31T15:00:00Z https://scholar.dgist.ac.kr/handle/20.500.11750/60263 Title: Poster: Software architecture for efficiently designing cloud applications using node.js Author(s): Ra, Ho-Kyeong; Yoon, Hee Jung; Salekin, Asif; Lee, Jin-Hee; Stankovic, John A.; Son, Sang Hyuk Abstract: We propose a practical solution for cloud application de- velopment using Node.js and Express library by presenting: (1) a software architecture which utilizes two standard in- heritance pattern techniques, the top-down and divide and conquer approaches, to effectively organize the structure of the application for improved maintainability and extensi- bility in the long-run, and (2) an easy-to-follow guideline that instructs the implementation procedures for develop- ing Node.js cloud applications. © 2016 Copyright held by the owner/author(s). 2015-12-31T15:00:00Z