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조국래(Cho Kook-Rae) 한국체육과학회 2010 한국체육과학회지 Vol.19 No.3
There have not been enough research cases conducted on the brain activities involving preperformance routines in bowling. The purpose of this study was to determine bowlers' brain activities when they are engaged in preperformance routines in order to clear the spare pins. Subjects participated in this experiment were twenty university students(male=10, female=10) who were attending G University in Korea. Ten subjects were assigned to experimental group (Expert Group) and the other 10 were assigned to control group (Ordinary Group). Both groups were required to plan and execute preperformance routines when 6 different sets of spare pins, which were of different levels of difficulty were projected on the monitor. In order to measure EEG, 8 electrodes were attached around the heads of the subjects. The means of the measurements were computed using FFT method. 3-Way Analysis of Variance was conducted using SPSS (version 17.0). The results of the research are as follows: First, alpha and theta power measured in the area of F3 & F4, C3 & C4, and P3 & P4 of experimental group were significantly higher than those of control group. Second, it was found the degree of brain activity were different depending on the areas of measure. It can be concluded that elite groups are superior to ordinary bowlers in the domain of attention to tasks and engage themselves in the different types of cognitive processing.
중대재해처벌법 대응을 위한 GPTs 기반 안전 권고 시스템
손종욱(Jong-Wuk Son),조국래(Kook rae Cho) 한국HCI학회 2024 한국HCI학회 학술대회 Vol.2024 No.1
본 논문은 중대재해처벌법에 따른 기업의 안전 보건 조치 강화 요구에 대응하기 위해 Custom GPT(Generative Pre-trained Transformer)를 기반으로 한 안전 권고 시스템의 개발 및 적용에 초점을 맞춘다. 특히, 소규모 사업장에서 안전 관리 체계 구축의 어려움을 해결하기 위한 저비용, 고효율의 AI 솔루션을 제안합니다. 이 시스템은 작업 현장의 실시간 이미지와 데이터를 기반으로 위험 요소를 식별하고, 적절한 안전 조치를 권고한다. 본 연구는 HCI(Human-Computer Interaction) 분야에서 인공지능의 활용 가능성을 탐구하며, 중대재해 예방 및 작업자 안전 보장에 기여하고자 한다.