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- 저자 : 정철호 ( Chul Ho Chung ) (검색결과 75 건)
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통일분류(統一分類)에 의한 우리나라 토질(土質) 공학적(工學的) 특성(特性)에 관한 확률론적(確率論的) 연구(硏究)
정철호,Chung, Chul Ho 대한토목학회 1989 대한토목학회논문집 Vol.9 No.3
본(本) 논문(論文)은 과거(過去) 13년간(年間)(1974~1986) 주택공사(住宅公社)가 전국(全國) 74개(個) 도시(都市), 176개(個) 주택단지(住宅團地)에서 실시(實施)한 제반토질시험결과(諸般土質試驗結果)를 통일분류법(統一分類法)에 의(依)한 흙의 종류별(種類別), 토질정수(土質定數)의 분산(分散)의 정도(程度)를 확률적(確率的)으로 분석(分析)한 것이다. 이 논문(論文)에서 분석(分析)한 토질정수(土質定數)는 자연함수비(自然含水比), 토립자(土粒子)의 비중(比重), 아터버그 한계(限界), 표준매입시험치(標準買入試驗値), 일축압축강도(一軸壓縮强度), 압축지수(壓縮指數) 그리고 강도정수(强度定數) 등(等)이다. 연구분석(硏究分析)한 결과(結果), 물리적(物理的) 저성질(藷性質)은 통계변수(統計變數)인 변동계수(變動係數)를 기준으로 하여 비교(比較)할때 변동(變動)의 범위(範圍)가 비교적(比較的) 적은 반면(反面)에, 강도정수(强度定數)는 40%, 압축지수(壓縮指數)는 32% 정도(程度)의 변동계수(變動係數)를 가지며, 비중(比重)은 사질도(砂質土)에서 0.87-2.49%, 점성토(粘性土)에서 0.91-5.03%로 분산(分散)의 정도(程度)가 매우 작음을 확인(確認)하였다. This paper probabilisticly analyses the variance of the soil parameters on kinds of soil by conducting statistical analysis through the Unified Soil Classification System. Data used are the result of soil test which the Korea National Housing Corporation conducted in 176 sites of 74 cities throughout the country during the past 13 years from 1974 to 1986. In this paper, soil parameters such as natural water contents, specific gravity of soil particle, Atterberg limits, N-values, unconfined compression strength, compression index and shear strength parameter etc., is analysed. The result of the analysis is as follows. 1) The variance in physical properties of the soil is, when compared with coefficient of variation which is statistical variable, comparatively small. 2) The shear strength parameter is proved to be about 40% and compression index is about 32%. 3) The variance in specific gravity is 0.87-2.49% in granular soil and 0.91~5.03% in cohesive soil respectively. So, the degree of the variance is very small.
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사용자제작콘텐츠(UCC) 이용자의 수용 후 행동 모델 분석
정철호(Chul-Ho Jung),정영수(Young-Soo Chung) 한국데이타베이스학회 2010 Journal of information technology applications & m Vol.17 No.2
The primary objective of this paper is to examine post acceptance behavior model in UCC services. Based on the relevant literature reviews, this study posits six characteristics, that is, expectation confirmation, perceived usefulness, perceived enjoyment, satisfaction, and continuance intention as key variables to describe the post acceptance behavior model in UCC services. Then we constructed a research model and hypotheses about relationship between these variables. A total 286 usable survey responses of UCC service users have been employed in the analysis. The empirical results of this study are summarized as follows. Firstly, expectation confirmation has a positive effect on the perceived usefulness, perceived enjoyment, and satisfaction. Secondly, perceived enjoyment has a positive effect on the satisfaction. Lastly, perceived usefulness, perceived enjoyment, and satisfaction have a positive effect on the continuance intention. These results will be helpful for the UCC services sector to further develop service delivery strategies for strengthening the ongoing relationship with customers. Finally, some possible limits of the present research and future directions for such research were discussed.
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정철호(Chul-Ho Jung),이정효(Jung-Hyo Lee),이희준(Hee-Jun Lee),김영렬(Young-Real Kim),원충연(Chung-Yuen Won) 전력전자학회 2011 전력전자학술대회 논문집 Vol.2011 No.7
본 논문에서는 태양광 모듈을 이용한 발전 시스템과 전기자동차용 양방향 배터리 시스템을 결합한 하이브리드 시스템을 제안 하였다. 병렬 구조를 가진 시스템을 전력제어 함으로써 배터리의 전력을 효율적으로 사용할 수 있다. 이에 따라 제안된 알고리즘의 타당성을 시뮬레이션 모델을 통하여 검증하였다.
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정철호(Chul-Ho Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),전영선(Young-Sun Jun),김도연(Do-Yeon Kim),정병진(Byung-Jin Jung),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2008 한국조명·전기설비학회 학술대회논문집 Vol.2008 No.5월
The paper proposes a novel control algorithm for tracking maximum power of PV generation system. The maximum power of PV array is determinated by a insolation and temperature. Prior considered the term in PV generation system is how maximum power point is accurately tracked. The paper proposes a FNN(Fuzzy Neural-Network) control algorithm so as to accurately track those maximum power points. The proposed control algorithm comprises the antecedence part of fuzzy rule and clustering method, multi-layer neural network in the consequent part. FNN has the advantages which are depicted both high performance and robustness in Fuzzy control and high adaptive control in Neural Network Specially, it can show the outstanding control performance for parameter variations appling to non-linear character of PV array. In paper, the tracking speed and the accuracy prove the validity through comparing a proposed algorithm with a conventional one.
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