제57차 추계학술대회 및 총회 : 포스터연제 ; 여드름 환자의 삶의 질에 관한 연구

조태호,조희령,강익준,홍석범,심우영,김낙인 대한피부과학회 2005 초록집 Vol.43 No.20

제57차 춘계학술대회 : 일반포스터 ; 석회화를 동반한 결절성 한선종 1예

조태호,최천필,심우영,김낙인,허충림,이무형 대한피부과학회 2005 초록집 Vol.43 No.10

문단 중요도 지수를 고려한 문서 요약

조태호 한국전문가시스템학회 1998 학술대회 Vol.2 No.1

백 데이터의 키워드의 범주별 가중치에 근거한 텍스트 분류

조태호 한국전문가시스템학회 1998 학술대회 Vol.2 No.1

A scheme of automatic document classification will be presented in this paper. So far, documents have been classified according to its contents manually. Therefore, it costs very much to assign a category to them because human investigates their contents. As the amount of data stored in storage media is increased exponentially, it becomes necessary to store documents according to their category, to access them easily. It requires automatic text classification to store documents like that. Before performing text classification, back data should be constructed. The back data stores the information about keywords; the frequency to each category, the number of documents to each category. And a document is represented with a list of keywords. Categorical points to each category are computed by summing the frequency of each keyword from back data, or the number of documents from it. The category that contains the largest categorical points is selected as the category of a document. In the result of an experiment of news article classification, the precision is about 98%.

범주별 대표 키워드에 의한 텍스트 분류

조태호 한국전문가시스템학회 1998 학술대회 Vol.2 No.1

A scheme of automatic document classification will be presented in this paper. So far, documents have been classified according to its contents manually. Therefore, it costs very much to assign a category to them because human investigates their contents. As the amount of data stored in storage media is increased exponentially it becomes necessary to store documents according to their category, to access them easily. It requires automatic text classification to store documents like that. The scheme for automatic text classification proposed in this paper, is based on the document indexing, in which a document is represented as a list of keywords. The number of common keywords between keywords from the document itself and representative keywords from a back data classifies documents. As an example, the proposed scheme is applied to Classify news articles into 3 categories; politics, sports, and business. The measurements of performance evaluation are classification rate, correctness rate, and classified correctness rate.

Klopfer의 과학교육 목표 분류 체계에 의한 제 6차 자연과 학습목표 분석 : -3.4학년 중심으로- -focused on 3rd and 4th grade-

조태호 晋州敎育大學校 科學敎育硏究所 1996 科學敎育硏究 Vol.22 No.-

In order to search for the course for better management of elementary science curricula and to suggest an improvement on elementary science education. objectives of the teacher's guide book of elementary science education in the 6th current curriculum was analyzed by Klopfer's classification scheme for science eduction in this study. Six categories of knowledge and comprehension(A.O), processes of scientific inquiry(B.O~E.O), application of scientific knowledge and methods(F.O), manual skills(G.O), attitudes and interests(H.O), and orientation(I.O) were all comprised in the objectives of science subject matter about 3rd and 4th grade of elementary science education of the 6th current curriculum. As the results of studies, learning objectives were mainly composed of knowledge and comprehension(A.O) and scientific inquiry(B.O~E.O) above 80%. The proportion of A.O category was 31%, 49% in 3rd and 4th grade respectively, and B.O~E.O category was 57%, 25% in 3rd and 4th grade respectively. Although the learning objectives of F.O and G.O category were respetively composed about 6~11% of the all of the teacher's guide book in 3rd and 4th grades, and that of H.O and I.O category were poorly composed about 1~2%. For the analysis of the scientific inquiry category(B.O~E.O), the proportion of B.O category was 63%, 47% in 3rd and 4th grade respectively, and that of C.O and D.O category was allocaed to 17~25% respectively in 3rd and 4th grade, and that of E.O category 0~4%. As the learning objectives of scientific inquiry category was mainly comprised to observing and measuring(B.O), these of building, testing, and revising a theoretical model category was neglected.

태양에너지 이용 향상을 위한 태양 전지의 기하하적 배치

조태호 에너지기후변화교육학회 2016 에너지기후변화교육 Vol.6 No.2

건축물의 가치와 에너지 절감을 위하여 태양전지는 많은 건축물에 응용되고 있다. 일반적으로 상용화된 태양전지의 설치방법들은 모듈이나 어레이의 2차원적 배열을 기본으로 하고 있어 설치면적에 많은 제약을 받는다. 2차원적인 태양전지의 배열에서 벗어나 태양의 입사각, 그림자 발생 억제, 모듈 당 셀의 수 등을 고려한 3차원적인 구조를 갖는 태양전지 모듈을 개발할 필요가 있다. 3차원적인 태양전지 모듈의 설치는 단위 면적당 태양전지의 발전효율을 최대로 증가시킬 수 있다. 따라서 본 연구에서는 태양전지 모듈을 2차원 평판형과 3차원 서랍형, 방사형, 계단형을 제작하여 기하학적 배치에 따른 태양전지의 효율을 비교하였다. 3차원 태양전지 모듈은 2차원 평판형 태양전지에 비해서 효율이 향상되었다. 특히, 서랍형 태양 전지 모듈은 다른 태양 전지 모듈(평판형, 계단형, 방사형)에 비해 전력 효율이 높으며, 이동 및 보관이 용이하다. 그러나 방사형의 경우 모듈의 제작단계에서의 오류가 많고, 태양전지 셀을 가공함으로 인해 효율적인 측면에서 좀 더 보완할 필요가 있었다.

부인과 악성종양의 진단에 있어서 세침천자세포검사의 유용성

조태호,차상헌,문원실,이치훈,홍기언,허승재 대한산부인과학회 1992 Obstetrics & Gynecology Science Vol.35 No.9

저자들은 부인과 악성종양이 의심되는 46명의 환자에서 48예의 세침천자를 시행하여 다음과 같은 결과를 얻었다. 1. 진단결과 세침천자상 악성세포 양성인 진양성은 22예, 진음성은 19예, 위음성은 4예, 의중 1예, 부적합검체 4예였다. 2. 통계학적 결과 민감도는 84.6%이고 특이도는 100%, 위음성율 15.3% 이었으며 음성예측도는 82.8%이었다. To evaluate the efficacy of fine-needle aspiration in gynecologic oncology, 48 cases of fine-needle aspiration were performed on 46 patients suspected of having primary or recurrent gyneclolgic malignancy. There were 22 positive cases for malignant cell, 22 negative cases, 1 suspicious case and 3 inadequate specimens. Excellent correlation was noted between the cytologic and subsequent histopathologic diagnosis of 22 cases. Among 22 positive results, pathologic esamination showed 9 squamous cell carcinoma, 2 Adenosquamous cell carcinoma, 2 undifferentiated carcinoma, and 9 adenocarcinoma. There was no false positive case, and the sensitivity of the fine-needle aspiration was 84.6%. These data suggest that fine-needle aspiration cytology is a safe and effective method in diagnosis of gynecologic malignancies.

Inverted Index based Modified Version of K-Means Algorithm for Text Clustering

조태호 한국정보처리학회 2008 Journal of information processing systems Vol.4 No.2

This research proposes a new strategy where documents are encoded into string vectors and modified version of k means algorithm to be adaptable to string vectors for text clustering. Traditionally, when k means algorithm is used for pattern classification, raw data should be encoded into numerical vectors. This encoding may be difficult, depending on a given application area of pattern classification. For example, in text clustering, encoding full texts given as raw data into numerical vectors leads to two main problems: huge dimensionality and sparse distribution. In this research, we encode full texts into string vectors, and modify the k means algorithm adaptable to string vectors for text clustering.

Neural Text Categorizer for Exclusive Text Categorization

조태호 한국정보처리학회 2008 Journal of information processing systems Vol.4 No.2

This research proposes a new neural network for text categorization which uses alternative representations of documents to numerical vectors. Since the proposed neural network is intended originally only for text categorization, it is called NTC (Neural Text Categorizer) in this research. Numerical vectors representing documents for tasks of text mining have inherently two main problems: huge dimensionality and sparse distribution. Although many various feature selection methods are developed to address the first problem, the reduced dimension remains still large. If the dimension is reduced excessively by a feature selection method, robustness of text categorization is degraded. Even if SVM (Support Vector Machine) is tolerable to huge dimensionality, it is not so to the second problem. The goal of this research is to address the two problems at same time by proposing a new representation of documents and a new neural network using the representation for its input vector.