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古代祭儀와 춤의 機能에 관한 硏究 : 賽神에 있어서의 巫舞의 機能을 중심으로
김온경 新羅大學校 1985 論文集 Vol.19 No.-
This study aims basically at the genetic study on the Korean dance through its development, nature and quality, examining the function of dance which was the chief object in the ancient rite. Along with this, I examined the religious significance of the dance by regional groups and by types, and also research into the effect of Gut on the Korean dance by types. From the earliest times, in order to save his life in time of danger man prayed for some supernatural force, that is, the sprit, and to lend the aid of thespirit incantation was performed as an essential part of magic. The dance of Korea generated with the ritual dance as an absolute requisite to promote the incantation developed spontaneously to Gut, a religion of the Korean folk. In Gut there is dance where there is song and there is divine spirit where man is, so that this religious rite is both an art and a creative act. Here we may know that there is an ecstacy of union of man and god and that the cultural events for the public, which accompanied with music, started with using Nong-ak in the New Year`s day events and in Community Festival. Tahl-chum(mask dance) is a type of an artistic performance of Gut. Tahl makes us transcend the daily-life experience with its implication, and with the ability of visionary fancy. Tahl-chum proved to have the function of communicating the hope of the public. Most of the kinds of the Korean dances proved to be reorganized by the influence of shamanism or shamanistic dance of artistic value. For this religious aspect the Korean dance developed with spiritual mystery. The nature of the Korean dance lies in the harmonious beauty of repose, balance and movement which is obtained at the moment of Zen, namely, of spiritual concentration. In method of this study, I took the records inquiry on the introduction of the ancient rite and on the actual practices of Gut I took, for the most part, theon-the-spot survey. Since I am a member of Folk Arts Company, I referred to the practical materials on technique.
무릎운동훈련들이 안쪽빗넓은근과 가쪽넓은근의 수축 개시시간에 미치는 효과
김명진,김지원,이재온,박경희,신화경 한국전문물리치료학회 2001 한국전문물리치료학회지 Vol.8 No.2
The purpose of this study was to investigate the effect of knee exercises on the onset times of vastus medialis oblique muscle (VMO) and vastus lateralis muscle (VL) and in healthy subjects. Fifteen subjects (7 men, 8 women) in a mean age of 25.4 years participated in the study. Electromyographic (EMG) signals were recorded from the VMO and VL under four exercises. Knee exercises consisted of open kinematic terminal knee extension, straight leg raising, isometric hip adduction exercise, and closed kinematic terminal knee extension. No significant differences were found in the onset times of EMG activities of VMO and VL in the four exercises. There were also no significant differences among the exercises. These results coincided with previous studies that found no difference between onset of VMO and VL. However, it is difficult to say that there is no difference between onset of VMO and VL in healthy subjects. To confirm this results, further researches that follow same onset determination metod and exercises are needed. Not only is the study of onset time of muscle needed, but also the studies of the amount of activation and the rate of increase of muscle activation are needed.
Test 시간단축을 위한 Parallel Test Algorithm 개발
전용주,신경선,온정근,전병실 전북대학교 전자산업개발연구소 1990 전자산업연구 Vol.1 No.-
This paper proposed a new test algorithm for pattern sensitive fault in large size RAM with high circuit dendity. we proposed the three algorithm such as prametric checkerboard test, column weight sensitive test, and bit line decoder test. Column sensitive faults in RAM's are a class of faults in which the contents of the column containing the cell in presence of a fault. we formally define a fault model to include such faults and present and algorithm to detect fault from this fault model.
온민귀(Min-Gwi On),김명후(Myoung-Hoo Kim),김진석(Jin-Seok Kim),유일경(Il-Kyoung You),임성훈(Sung-Hun Lim),김재철(Jae-Chul Kim) 대한전기학회 2011 전기학회논문지 Vol.60 No.1
This paper analyzed the application of Superconducting Fault Current Limiter (SFCL) on 22.9 [㎸] bus tie in a power distribution system. Commonly, the parallel operations of power main transformers offer a lot of merits. However, when a fault occurs in the parallel operation of power main transformer, the fault currents might exceed the interruption capacity of existing protective devices. To resolve this problem, thus, the SFCL has been studied as the fascinating device. In case that, Particularly, the SFCL could be installed to parallel operation of various power main transformers in power distribution system of the Korea Electric Power Corporation (KEPCO) on 22.9 [㎸] bus tie, the effect of the resistance of SFCL could reduce the increased fault currents and meet the interruption capacity of existing protective devices by them. Therefore, we analyzed the effect of application and proposed the proper impedance of the R-type SFCL on 22.9 [㎸] bus tie in a power distribution system using PSCAD/EMTDC.
Gated Multi-Modal Neural Networks를 이용한 다중 웨어러블 센서 결합 방법 및 일상 행동 패턴 분석
온경운(Kyoung-Woon On),김은솔(Eun-Sol Kim),장병탁(Byoung-Tak Zhang) 한국정보과학회 2017 정보과학회 컴퓨팅의 실제 논문지 Vol.23 No.2
본고에서는 다중 웨어러블 센서 데이터로부터 사용자의 일상 생활 행동 패턴을 분석할 수 있는 새로운 기계학습 모델을 제안한다. 제안하는 모델은 다중 웨어러블 센서 데이터를 효과적으로 학습하기 위하여 사람이 다중 센서 정보를 처리하는 방법을 적용한 새로운 신경망 모델이다. 제안하는 Gated multi-modal neural netoworks는 계층적 신경망 구조를 가지고 있으며 Gate 모듈을 통해 각 센서 데이터를 선택적으로 결합하여 처리하는 특징을 가진다. 실험을 위해 다중 웨어러블 장치를 착용하고 일상 생활 중 한 가지인 레스토랑에서의 행동 센서 데이터를 수집하였다. 실험 결과로서, 제시하는 모델을 이용하여 실제 웨어러블 센서 데이터를 분석하였을 때 분류 정확도가 비교적 정확하고 빠르게 처리할 수 있음을 확인하였다. 또한 모델의 중간 계층에서의 노드의 활성화 패턴 분석을 통해 자동으로 일상생활 패턴을 추출할 수 있고 이를 이용하여 지식 스키마를 생성할 수 있음을 확인하였다. We propose a new machine learning algorithm which analyzes daily activity patterns of users from multi-modal wearable sensor data. The proposed model learns and extracts activity patterns using input from wearable devices in real-time. Inspired by cue integration of human"s property, we constructed gated multi-modal neural networks which integrate wearable sensor input data selectively by using gate modules. For the experiments, sensory data were collected by using multiple wearable devices in restaurant situations. As an experimental result, we first show that the proposed model performs well in terms of prediction accuracy. Then, the possibility to construct a knowledge schema automatically by analyzing the activation patterns in the middle layer of our proposed model is explained.