개방형 BIM기반 개산견적을 위한 데이터 모델 구축 방안

김한준(Kim, Han-Joon),최중식(Choi, Jung-Sik),김한샘(Kim, Han-Saem),김인한(Kim, In-Han) 대한건축학회 2013 대한건축학회논문집 Vol.29 No.3

Recently, Buildings have been ordered larger, more complicated, and free form design. So the adoption of BIM technology is in creasing the demand for large and complex construction of information for efficient management and utilization. Properties of BIM model can be used to automatically calculate quantities information in estimates field. This characteristic is expected to have a significant effect for the accuracy and reliability of the construction Cost estimates. This research is to develop a data model for Open BIM-based estimates to ensure accuracy and reliability, and improve interoperability of information. So studies of the overview of BIM-based QTO and estimates were researched. Also domestic and foreign BIM-based QTO and estimates case research were analyzed to draw out the implications to find a solution to the problems. Necessary properties requirements were drawn out by analyzing IDM and IFC spec was drawn out by analyzing MVD. Through these a method for Open BIM-based estimates was proposed. Also, to increase the application of the construction information classification system, domestic and foreign application of construction information classification systems were researched and analyzed. From the domestic research utilization the construction type classification of Public Procurement Service was selected as the most effective classification system and was applied. In addition “Code Generator” was developed and Pilot test model was applied to verify the data model and the availability of requirements was reviewed. With the variety of construction information classification systems that exist in the domestic construction industry, the method from this research can be applied into the domestic practical field.

췌십이지장절제술에서 유문부보존술의 수술후 췌장위축 예방효과

김선회(Sun-Whe Kim),김기환(Ki Hwan Kim),한준구(Joon-Koo Han),박용현(Yong-Hyun Park) 대한외과학회 1998 Annals of Surgical Treatment and Research Vol.55 No.4

한국 영화와 드라마에 나타난 성형외과 의사와 성형수술의 이미지

김한준,황건,Kim, Han Joon,Hwang, Kun 대한두개안면성형외과학회 2012 Archives of Craniofacial Surgery Vol.13 No.2

Nowadays, plastic surgical operations are increasingly being performed in Korea. We have gained added interest in this because some professional pictures contain plastic surgery in their venue. In the films, we intend to see the recognition of society for plastic surgeons and which field of plastic surgery. The list of movies for analysis were 'Plastic Beauty (1975)', 'Penthouse Elephant (2005)', '200 Pounds Beauty (2006)', 'Cinderella (2006)', and 'Time (2006)'. The TV dramas were 'She is looking (2005)', 'Lovers (2006-2007)', and 'Before & After Plastic Surgery Clinic (2008)'. Films were analyzed according to the following: the chief complaints and names of the operations, character of plastic surgeons, result of the operation and its possibility in reality, and its effect of plastic surgery on the life of the patients. Most of the film contained facial transplantation or the change of the face or body different from the original shape. Character type of the plastic surgeons was mostly medical realism, rather than ideal humanism. Most of the plastic surgeons have capability as a doctor; however, some of them had extramarital affairs. The surgery was successful in most of the cases, but were the patients happy with the results? This was not the case in the movies. In only one movie, '200 Pounds Beauty', the patient became happy; rest of them were eminently unhappy with the outcome. Why the discrepancy? It is difficult to analyze the minds of the people in the films, but considering that the majority of the characters in the films were rather unsavory, one may deduce that a crooked mind functions differently. Perhaps it is too much to hope for a day that will come when we will see a film that portrays the mental anguish that accompanies each and every procedure the Korean plastic surgeons make.

연관규칙 마이닝을 활용한 뉴스기사 키워드의 연관성 탐사

김한준,장재영,Kim, Han-Joon,Chang, Jae-Young 한국인터넷방송통신학회 2011 한국인터넷방송통신학회 논문지 Vol.11 No.6

현재 대부분의 웹포털 사이트는 인기도 또는 중요도가 높은 키워드를 제공하는 서비스가 제공되고 있는데, 구체적으로 태그 클라우드 형태와 연관 검색 서비스와 같은 사용자 친화형 서비스를 지원하고 있다. 하지만 일반적으로 뉴스기사는 날짜와 분야별로 기사들이 분류되어 있기에, 사용자는 카테고리별로 나누어진 기사를 읽을 수만 있을 뿐 그 기사와 연관된 다른 기사를 쉽게 찾아보지는 못한 실정이다. 또한 연관 검색어 서비스도 사용자가 검색한 입력내용을 기반으로 연관성 정도를 분석하기에 충분한 객관성을 보장하지 못하고 있다. 본 논문에서는 기존의 태그 클라우드 방식에서 좀 더 나아가 축적된 뉴스 기사로 부터 검색 키워드와 밀접히 연관된 키워드를 추출하여 제공하는 기사 검색 방식을 제안한다. 제안 기법은 기본적으로 연관규칙 마이닝을 이용하여 키워드 연관성을 추출하게 되며, 뉴스기사 특성을 반영하여 문장 내부에 존재하는 키워드에 한정하여 연관성을 추출한다. 연관된 키워드 집합을 이용하여 키워드와 가장 밀접한 기사를 검색할 뿐만 아니라, 연관 키워드간의 관계성을 보여줌으로써 뉴스 기사들 속에 숨겨진 연관정보의 탐색을 가능하게 한다. The current Web portal sites provide significant keywords with high popularity or importance; specifically, user-friendly services such as tag clouds and associated word search are provided. However, in general, since news articles are classified only with their date and categories, it is not easy for users to find other articles related to some articles while reading news articles classified with categories. And the conventional associated keyword service has not satisfied users sufficiently because it depends only upon user queries. This paper proposes a way of searching news articles by utilizing the keywords tightly associated with users' queries. Basically, the proposed method discovers a set of keyword association patterns by using the association rule mining technique that extracts association patterns for keywords by focusing upon sentences containing some keywords. The method enables users to navigate the space of associated keywords hidden in large news articles.

투광형 실리콘 슁글드 태양광 모듈을 위한 타공형 스트링 제작

김한준(Han Jun Kim),박민준(Min-Joon Park),송진호(Jinho Song),정태웅(Taewung Jeong),문대한(Daehan Moon),정채환(Chaehwan Jeong) 한국태양광발전학회 2020 Current Photovoltaic Research Vol.8 No.4

Transparent photovoltaics (PV) are used in various applications such as building-integrated photovoltaics (BIPV). However, crystalline silicon (c-Si) is not used for developing transparent PV due to its opaque nature. Here. we fabficate the three holes in 6-inch c-Si solar cells using laser scribing process with an opening area ratio of about 6.8% for transparent c-Si solar modules. Moreover, we make the shingled strings using the perforated cells. Our 7 interconnected shingled string PV cells with 21 holes show a solar to power conversion of 5.721 W. In next work, we will fabricate a transparent c-Si PV module with perforated strings.

저탄소도시계획지원을 위한 포털서비스의 구축방향

김한준(Kim, Han-Joon),최홍준(Choi, Hong-Jun) 한국산학기술학회 2013 한국산학기술학회논문지 Vol.14 No.5

본 논문은 도시.지역계획 등 공간계획 분야의 계획지원시스템(PSS)을 핵심구성요소인 도시모형(특히, 토지이 용-교통 모형 LUTM)과 지리정보시스템(GIS) 기술의 발전과정을 중심으로 검토하고, 지구온난화 등 환경문제를 중심 으로 한 계획과정에 대한 시민참여 요구 확대, 인터넷과 모바일을 기반으로 한 IT 기술심화를 주요 특징으로 하는 변 화된 계획환경에 대응하여 PSS의 보완 또는 확장 개념으로서 저탄소도시계획지원에 초점을 둔 포털서비스의 구축방 향을 제안한다. This study reviews planning support systems (PSS) in the context of the development processes of urban models(focusing on Land-Use Transport Models, LUTM) and Geographic Information Systems (GIS), both of which are key components of PSS supporting spatial plannings like urban and regional planning. It also explores changing planning environments like increased demands of citizen participation, especially in the environmental sector like global warming, and intensified development of Information technologies based on Internet and mobile networks. As a conclusion this study proposes a prototype of portal service to support low-carbon city planning to mitigate the greenhouse gas as an alternative to supplement or reinforce PSS, reflecting the changing planning environments.

위키피디어 기반 개념 공간을 가지는 시멘틱 텍스트 모델

김한준(Han-Joon Kim),장재영(Jae-Young Chang) 한국전자거래학회 2014 한국전자거래학회지 Vol.19 No.3

텍스트마이닝 연구의 기본적인 난제는 기존 텍스트 표현모델이 자연어 문장으로 기술된 텍스트 데이터로부터 의미 또는 개념 정보를 표현하지 않는데 기인한다. 기존 텍스트 표현모델인 벡터공간 모델(vector space model), 불리언 모델(Boolean model), 통계 모델(statistical model), 텐서공간 모델(tensor space model) 등은 ‘Bag-of-Words’ 방식에 바탕을 두고 있다. 이러한 텍스트 모델들은 텍스트에 포함된 단어와 그것의 출현 횟수만으로 텍스트를 표현하므로, 단어의 함축 의미, 단어의 순서 및 텍스트의 구조를 전혀 표현하지 못한다. 대부분의 텍스트마이닝 기술은 대상 문서를 ‘Bag-of-Words’ 방식의 텍스트 모델로 표현함을 전제로 하여 발전하여 왔다. 하지만 오늘날 빅데이터 시대를 맞이하여 방대한 규모의 텍스트 데이터를 보다 정밀하게 분석할 수 있는 새로운 패러다임의 표현모델을 요구하고 있다. 본 논문에서 제안하는 텍스트 표현모델은 개념공간을 문서 및 단어와 동등한 매핑 공간으로 상정하여, 그 세 가지 공간에 대한 연관 관계를 모두 표현한다. 개념공간의 구성을 위해서 위키피디어 데이터를 활용하며, 하나의 개념은 하나의 위키피디어 페이지로부터 정의된다. 결과적으로 주어진 텍스트 문서집합을 의미적으로 해석이 가능한 3차 텐서(3-order tensor)로 표현하게 되며, 따라서 제안모델을 텍스트 큐보이드 모델이라 명명한다. 20Newsgroup 문서집합을 사용하여 문서 및 개념수준의 클러스터링 정확도를 평가함으로써, 제안 모델이 ‘Bag-of-Word’ 방식의 대표적 모델인 벡터공간 모델에 비해 우수함을 보인다. Current text mining techniques suffer from the problem that the conventional text representation models cannot express the semantic or conceptual information for the textual documents written with natural languages. The conventional text models represent the textual documents as bag of words, which include vector space model, Boolean model, statistical model, and tensor space model. These models express documents only with the term literals for indexing and the frequency-based weights for their corresponding terms; that is, they ignore semantical information, sequential order information, and structural information of terms. Most of the text mining techniques have been developed assuming that the given documents are represented as ‘bag-of-words’ based text models. However, currently, confronting the big data era, a new paradigm of text representation model is required which can analyse huge amounts of textual documents more precisely. Our text model regards the ‘concept’ as an independent space equated with the ‘term’ and ‘document’ spaces used in the vector space model, and it expresses the relatedness among the three spaces. To develop the concept space, we use Wikipedia data, each of which defines a single concept. Consequently, a document collection is represented as a 3-order tensor with semantic information, and then the proposed model is called text cuboid model in our paper. Through experiments using the popular 20NewsGroup document corpus, we prove the superiority of the proposed text model in terms of document clustering and concept clustering.

Research on Evolution of data Mining Systems

Han-joon Kim(김한준) 한국전자거래학회 2003 한국전자거래학회 학술대회 발표집 Vol.2003 No.-

국내 기업인수목적회사(Special Purpose Acquisition Company, SPAC)의 재무적 특성과 제도적 고찰

金漢俊(Han-Joon Kim) 한국기업법학회 2010 企業法硏究 Vol.24 No.3

The new financial product introduced in the domestic capital markets. SPAC, is established in the form of a paper company, in which promoters and sponsors usually consist of a management team investing their fund in a certain limited percentage of total shares outstanding. Through the intial public offering (IPO), outside investors may participate in the ownership of the SPAC, which is listed in either Korea Exchange or KOSDAQ. Moreover, most of the fund raised through the IPO (at least 90%) is to be kept in a trust company. At least one merger between the SPAC and a privately-held company, should be completed within 3 years (36 months), otherwise the SPAC will be liquidated thereafter. SPAC's management team relating to the distribution of remaining assets related to equity, can not claim their existing shares in the case of the delay or failure of the merger. Even in a successful merger, dissenting shareholders of the SPAC who oppose to the merger of the target company, may claim their own appraisal rights, under the current legal or regulatory system in Korea. Based upon the recent, volatile demand for the financial product in the domestic capital markets, the knowledge in this new investment vehicle is considered to be less informed, especially from the perspective of potential investors. Without thorough examinations or review of the characteristics of SPAC focusing on its financial and legal aspects, less informed investors can be led to chaos in structuring their own investment strategy in an effective and efficient manner. Research methodologies to perform this study are not theoretical or empirical. which were frequently adopted to investigate any issues in the finance literature. Instead, the descriptive results or analyses resulting from this interdisciplinary research between two academic fields, i.e., law and finance, may enhance the investors' knowledge on the newly introduced product and, in turn, contribute to reducing the possibility of investment risks by choosing their own optimal portfolios, as described above.

Further Investigations on the Financial Characteristics of Credit Default Swap(CDS) spreads for Korean Firms

김한준(Kim, Han-Joon) 한국산학기술학회 2012 한국산학기술학회논문지 Vol.13 No.9

본 연구에서는 미국발 금융위기의 근본 원인과 국내,외 금융시장에서 관심의 대상이 되고 있는 장외파생상 품의 일종인 신용부도스왑(Credit Default Swap, CDS) 혹은 합성부채담보부채권에 대한 내용을 사전적으로 분석하였 다. 2007년부터 문제화가 되기 시작한 미국발 금융위기의 근본 배경으로서, 2000년부터 2008년 초까지 약 5배나 급 속히 상승한 국제유가 요인 등이 동 위기의 기조원인으로서 분석되었다. 기존의 국내기업 관련 CDS 스프레드 분석 연구결과 등과 비교하여(예: Park & Kim, 2011), 본 연구에서는 일반성(commonality)과 견고성(robustness)의 제고를 위하여, 해당 실증적 방법론과 변수들(즉, 산업별 더미변수들 포함한 총 18가지의 설명변수들과 종속변수들(3가지))의 활용에서도, 더욱 포괄적이고 심층적인 분석을 수행하고자 하였다. 결과와 관련하여, 종속변수인 CDS 스프레드의 재 무적 특성 혹은 결정요인으로서, 4가지 설명변수들 (무위험수익률, 이자율의 기간구조, 자산의 크기, 변동성)이 다중회 귀모형을 통하여 각각의 통계적인 유의성(5% 신뢰수준)을 나타낸 반면, 추가적인 설명변수의 발견을 위하여 주성분분 석을 사용한 결과, 5가지 변수들(체계적 위험(베타), 수익성, 매출액 성장성, 변동성, 장부상 부채비욜)이 CDS 스프레 드에 대한 유의성을 보였다. 상기 결과들의 robustness 제고를 위하여, 사용된 총 18가지의 설명변수를 종합적으로 활 용한 ‘단계적 회귀식(stepwise regression)'의 결과에서는 CDS스프레드의 대용치인 모든 종속변수에서, 다음의 4가지 설명변수들이 결정요인으로서 발견되었다: 무위험수익률, 이자율의 기간구조, 변동성, 체계적 위험(베타). 또한, 산업별 유의성 관련, 수출주도형 산업으로 분류되는 자동차산업과 철강산업은 종속변수와 음(-)의 상관관계를 나타낸 반면, 내수업종인 통신서비스업종은 양(+)의 유의성을 보였다. This study examined the background of the recent global financial crisis and the concept of one of the financial derivatives such as the credit default swap(CDS) or synthetic CDO(collateral debt obligations), given the rapid growing and changing the over-the-counter derivative markets in their volume and structures. In comparison with the previous literature such as the study of Park & Kim (2011), this research empirically performed more thorough and comprehensive investigations to find any financial characteristics or attributes to determine the CDS spreads. Regarding the results obtained from the multiple regression models, the explanatory variables such as STYIELD3, SLOPE, INASSETS, and VOLATILITY, showed their statistically significant effects on all the tested dependent variables(DVs). Another procedure such as the principle component analysis(PCA), was also performed to account for additional IDVs as possible determinants of the dependent variables. Subsequent to this analysis, larger coefficients of each corresponding eigenvector such as BETA, PFT2, GROWTH, STD, and BLEVERAGE were found to be possible financial determinants. For robustness, all the IDVs were employed to be tested in the 'full' regression model with stepwise procedure. As a result, STYIELD3, SLOPE, and VOLATILITY, and BETA showed their statistically significant relationship with all the dependent variables of the CDS spreads.