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황태규(Tae-Gyu Hwang),장은겸(Eun Gyeom Jang),안우영(Woo-Young Ahn) 한국컴퓨터정보학회 2013 한국컴퓨터정보학회 학술발표논문집 Vol.21 No.1
의료기술이 나날이 발전해 감에 따라 인류의 평균수명이 늘어나고 건강한 삶에 대한 관심도 늘어가고 있으나 여전히 사각지대가 남아있다. 영유아나 고령/특정 질병으로 몸이 불편한 가족이 있는 이들을 위하여 복잡한 장비가 필요 없이 쉽게 구비할 수 있는 장비들을 이용하여 많은 비용을 쓰지 않고도 환자의 상태를 언제 어디서나 파악 가능한 시스템이 필요하다.
소수력 발전용 한국형 공기주입식 고무댐 개발을 위한 유체-구조 연성 해석
황태규(Tae-Gyu Hwang),박재현(Jae-Hyoun Park),김정환(Jeong-Hwan Kim),김정렬(Jeong-Ryul Kim) 한국마린엔지니어링학회 2008 한국마린엔지니어링학회 학술대회 논문집 Vol.2008 No.-
Inflatable rubber dams are used for controlling flood, impounding water for recreations, preventing beach erosions, diverting water for irrigations, and generating hydropower. They are long, flexible, inflated with air, cylindrical structures on a rigid horizontal foundation such as concrete. The dam is modeled as an elastic shell inflated with air. The mechanical behaviors of the inflated dam model were investigated by using the finite element method. The analysis process such as One Way Coupling Fluid-Structure Interaction consists of two steps. First, the influences of the fluid side were investigated, viz, the shape changes of the inflated rubber dam due to the fluid motions was captured when the height of the dam was 30㎝ with air pressure 0.01㎫, at which the pressure distributions over the surface of the dam were calculated. And next, the structural deformations were calculated using the pressure distributions. The initial inlet velocity for flow field was set to 0.1㎧. The structural deformation behaviors were investigated. The final research goal is to develop a Korean Inflatable Rubber Dam to be used for generating small hydropower.
황태규(Tae-Gyu Hwang),박재현(Jae-Hyoun Park),김정환(Jeong-Hwan Kim),김정렬(Jeong-Ryul Kim) 대한기계학회 2008 대한기계학회 춘추학술대회 Vol.2008 No.5
Inflatable rubber dams are used for controlling flood, impounding water for recreations, preventing beach erosions, diverting water for irrigations, and generating hydropower. They are long, flexible, inflated with air, cylindrical structures on a rigid horizontal foundation such as concrete. The dam is modeled as an elastic shell inflated with air. The mechanical behaviors of the inflated dam model were investigated by using the finite element method. The analysis process such as One Way Coupling Fluid-Structure Interaction consists of two steps. First, the influences of the fluid side were investigated, viz, the shape changes of the inflated rubber dam due to the fluid motions was captured when the height of the dam was 30㎝ with air pressure 0.01㎫, at which the pressure distributions over the surface of the dam were calculated. And next, the structural deformations were calculated using the pressure distributions. The initial inlet velocity for flow field was set to 0.1㎧. The structural deformation behaviors were investigated. The final research goal is to develop a Korean Inflatable Rubber Dam.
황태규(Tae-Gyu Hwang),김성권(Sung Kwon Kim) 한국정보과학회 2021 정보과학회 컴퓨팅의 실제 논문지 Vol.27 No.10
추천시스템은 정확성 향상을 위해 정보검색 이론을 바탕으로 새로운 선호패턴을 도출하도록 심화하는 것이 핵심이다. 사용자의 편향은 사용자가 영화를 선택하고 평가하는 과정에 관여하지만, 편향과 의사결정의 관계를 다루는 연구는 많지 않다. 다중편향분석은 사용자와 영화의 속성이 의사결정에 미치는 영향을 분석하는 모델이고, 이 모델은 협업 필터링보다 더 나은 평점예측 성능을 보였다. 그러나 기존모델은 사용자속성의 편향과 영화속성의 편향에 대한 신뢰성을 고려하지 않는다. 제안된 방법은 사용자속성과 영화속성의 편향에 대한 신뢰도를 계산하고, 신뢰도가 떨어지는 속성의 편향을 신뢰도가 높은 속성의 편향으로부터 계산해서 기존모델의 성능을 개선하며, 속성의 편향을 계산하는 과정에는 속성 간의 상관관계를 반영한다. 본 논문에서는 다중편향분석모델의 성능개선을 위해 속성의 신뢰도 계산, 속성간의 상관관계 계산, 속성의 편향을 예측하는 방법에 대해 소개한다. 영화데이터를 사용해 실험한 결과, 제안된 방법을 통해 기존모델의 정확성이 향상됨을 확인할 수 있었고, 0.84~7.39%의 성능 향상율을 보였다. The core of the recommendation system is to derive new preference patterns based on information retrieval theory in order to improve accuracy. Although user bias is involved in the process through which users select and evaluate movies, few studies have been done on the relationship between bias and decision-making. Multiple bias analysis is a model which analyzes the effects of the user and the attributes of movies on decision-making, one that showed better rating prediction performance than collaborative filtering. However, the existing model does not consider the reliability of the bias of both user and movie attributes. The proposed method computes the reliability of said biases, those with low reliability from the bias of those with high reliability in order to improve the performance of the existing model, and reflects the correlations between attributes in the process of computing them. In this paper, methods of computing the reliability of attributes the correlations between attributes, as well as predicting the bias of attributes to improve the performance of multiple bias analysis models were introduced. Experiments were conducted using movie data, and based on the results, it was found that the accuracy of the existing model was improved through the proposed method with an improvement rate of 0.84 to 7.39%.