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서현철,이경록,김진영,최승호,Seo Hyun-Chul,Lee Kyong-Rok,Kim Jin-Young,Choi Seung-Ho 대한음성학회 2002 말소리 Vol.43 No.-
This study presents performance analysis results of speaker adaptation for keyword spotting system. In this paper, we implemented MLLR (Maximum Likelihood Linear Regression) method on our middle size vocabulary keyword spotting system. This system was developed for directory services of universities and colleges. The experimental results show that speaker adaptation reduces the false alarm rate to 1/3 with the preservation of the mis-detection ratio. This improvement is achieved when speaker adaptation is applied to not only keyword models but also non-keyword models.
서현철,신정훈 한국융합신호처리학회 2019 융합신호처리학회 논문지 (JISPS) Vol.20 No.1
Motion sickness is dizziness symptom that occurs when movement detected in the vestibular organ and movement detected visually are collide with each other. When dizziness occurs, user complains of symptoms such as nausea and vomiting, sense of direction abnormality, and fatigue. These causes of dizziness are various and difficult to differentiate and treat the symptoms. Especially, among the types of dizziness VIMS(Visually Induced Motion Sickness) is a problem to solve in developing VR industry. These VIMS analysis can be done through user’s vital signs measurement and feature analysis, and EEG characteristics analysis. Therefore, this paper is discuss the minimization of motion sickness caused by visual information based on EEG signal and present research trends related to it. 멀미(Motion Sickness)란 전정기관에서 감지된 움직임과 시각적으로 감지된 움직임이 서로 충돌하는 경우에 발생하는 어지럼증 증상이다. 어지럼증이 발생할 경우 사용자는 메스꺼움 및 구토감, 방향 감각 이상과 피로 등의 증세를 호소한다. 이러한 어지럼증 원인이 다양하여 증상에 대한 감별과 치료가 어려운 질환이다. 특히 어지럼증의 유형 중 시각 정보로 인해 유발되는 어지럼증(Visually Induced Motion Sickness)은 발전하는 VR산업에서 해결해야 할 고질적인 숙제로 남아있다. 이러한 VIMS에 대한 분석은 사용자의 활력 징후 측정 및 특징 분석과 EEG 특성 분석을 통하여 가능하다. 이에 본 논문에서는 EEG 신호를 기반으로 시각 정보로 인해 유발되는 어지럼증(VIMS)의 최소화 방안에 대해 고찰하며, 그와 관련된 연구 동향들을 분석한다.
거주자 구성유형 및 소득수준에 따른 주거용 건물 내 전력소비성향
서현철,홍원화,남경목,Seo, Hyun-Cheol,Hong, Won-Hwa,Nam, Gyeong-Mok 한국주거학회 2012 한국주거학회 논문집 Vol.23 No.6
In this paper, we draws tendency of the electricity consumption in residential buildings according to inhabitants Composition types and the level of incomes. it is necessary to reduce energy cost and keep energy security through the electricity demand forecasting and management technology. Progressive social change such as increases of single household, the aging of society, increases in the income level will replace the existing residential electricity demand pattern. However, Only with conventional methods that using only the energy consumption per-unit area are based on Energy final consumption data can not respond to those social and environmental change. To develop electricity demand estimation model that can cope flexibly to changes in the social and environmental, In this paper researches propensity of electricity consumption according to the type of residents configuration, the level of income. First, we typed form of inhabitants in residential that existed in Korea. after that we calculated hourly electricity consumption for each type through National Time-Use Survey performed at the National Statistical Office with considering overlapping behavior. Household appliances and retention standards according to income level is also considered.