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      • KCI등재

        구분소유권의 성립시기에 관한 고찰

        김한민(Kim Han-Min),이재목(Lee Jae-Mok) 전북대학교 법학연구소 2017 法學硏究 Vol.51 No.-

        우리 사회는 산업화에 따른 인구의 도시집중 현상으로 인하여 과거 단독주택의 주거형태에서 아파트와 같은 집합건물의 주거형태로 급속하게 변화되어 왔으며, 상업시설 또한 수십 · 수백개의 상점이 한 건물에 밀집되어 있는 대규모의 집합건물이 급증함에 따라 구분소유권이 주요한 부동산 소유권의 한 형태로 자리매김하게 됨으로써, 구분소유권에 대한 권리의 명확화 및 이해당사자들의 보호필요성 또한 중시되고 있다. 이와 관련하여 대법원은 구분소유권의 성립에 관한 의미 있는 판결(대법원 2013. 1. 17.선고 2010다71578 전원합의체판결, 이하 ‘대상판결’이라 한다)을 선고하였다. 대상판결 이전의 기존판례는 대체적으로 집합건물대장에 구분건물로서 등록된 시점에 구분소유권이 성립한다고 판시하였지만, 대상판결을 통하여 구분건물이 물리적으로 완성되기 전이라도 건축허가신청이나 분양계약 등을 통하여 장래 신축되는 건물을 구분건물로 하겠다는 구분의사가 객관적으로 표시된다면 구분행위의 존재를 인정할 수 있고, 이후 1동의 건물 및 그 구분행위에 상응하는 구분건물이 객관적⋅물리적으로 완성되면 그 시점에 구분소유가 성립하므로, 더 이상 건축물대장등록은 구분소유의 성립요소가 아니라는 입장으로 기존의 견해를 변경한 것이다. 그러나, 구분소유권은 일물일권주의의 예외로 건물의 일부분이 독립한 소유권의 객체가 되는 물권으로서의 배타성과 대세적 효력이 있으므로 그에 관한 법률관계는 이해당사자들이 쉽게 인식할 수 있도록 명확하게 정해져야 한다는 점에서 볼 때, 구분행위는 건물을 신축하거나 기존 일반건물을 구분소유 건물로 변경하는 과정에서 명확히 판단할 수 있어야 하고, 그 시점을 구분행위로 보아도 사회통념상 크게 문제가 되지 않아야 할 것이므로, 건축허가나 분양계약의 체결만으로 구분소유권이 성립한다고 보기는 어려울 것이다. 이 글에서는 대상판결의 주요쟁점인 ‘구분소유권의 성립시기’에 관한 여러 견해를 검토하고, 이를 토대로 대상판결의 견해변경에 대한 타당성을 논의한 이후에, 마지막으로 법률관계의 명확화 측면과 구분건물 수분양자의 보호관점에서 논의되고 있는 입법론 등의 대안을 검토하기로 한다. As industrialization leads to concentration of population in urban areas in our society, the type of housing also changed from the single-family residential type to the multi-family residential type such as apartments. The commercial facilities has become more concentrated with one large building housing tens or hundreds of businesses. Therefore, the concept of the divided ownership system is receiving more spotlight as it becomes an important form of real estate ownership. Along with it, there are growing needs to clearly define the concept of divided ownership and protect the interests of the stakeholders. In response, the Supreme Court has made a significant decision pertaining to divided ownership (Supreme Court decision on Jan. 17, 2013, case no. 2010da71578, hereinafter referred to as “Target Ruling”). The previous ruling, specified that the divided ownership is established when the collective building is registered at the registry as a buildingsubject to divided ownership laws. But the Target Ruling rules that even before the building is physically completed, if there are any objective indication that the ownership of building would be divided, written in the building permit application or the sales contract, etc., the act of ownership division would be recognized. At the time of objective or physical completion of the building the divided ownership would take effect, thus the registration at the registry is no longer the constituent element. But, the divided ownership should be clearly defined in a way that the stakeholders clearly understand their rights over a part of the building as that right is exclusive and affects multiple individuals. Therefore, the act of dividing the ownership of the building needs to be clearly expressed during the construction or at the time of changing the form from a general building to a divided ownership. As a result, it is difficult to conclude that the divided ownership is established at the time of building permit acquisition or the execution of the sales agreement. In this study, “Establishment time of divided ownership”, the subject of Target Ruling, is reviewed and the validity of the change in the court’s ruling would be discussed. Lastly, the study explores alternative proposals to make the issue clearer from a legal standpoint and protect the interest of the stakeholders in the buildings.

      • SCOPUSKCI등재

        A Study on Predicting Cryptocurrency Distribution Prices Using Machine Learning Techniques

        Han-Min KIM(김한민),Hoik KIM(김호익) 한국유통과학회 2019 유통과학연구 Vol.17 No.11

        Purpose: Blockchain technology suggests ways to solve the problems in the existing industry. Among them, Cryptocurrency system, which is an element of Blockchain technology, is a very important factor for operating Blockchain. While Blockchain cryptocur rency has attracted at tention, studies on cryptocurrency prices have been mainly conducted, however previous studies mainly conducted on Bitcoin prices. On the other hand, in the context of the creation and trading of various cryptocurrencies based on the Blockc hain system, lit tle research has been done on cryptocurrencies other than Bitcoin. Hence, this study attempts to find variables related to th the prices of Dash, Litecoin, and Monero cryptocurrencies using machine learning techniques. We also attempt to find differences in t he variables related to the prices for each cryptocurrencies and to examine machine learning techniques that can provide better performance. Research design, data, and methodology methodology: This study performed Dash, Litecoin, and Monero price prediction analysis of cryptocurrency using Blockchain information and machine learning techniques. We employed number of transactions in Blockchain, amount of generated cryptocurrency, transaction fees, number of activity accounts in Blockchain, Block creation difficulty, blo ck size, umber of created blocks as independent variables. This study tried to ensure the reliability of the analysis results through 10 10-fold cross validation. Blockchain information was hierarchically added for price prediction, and the analysis result wa s measured as RMSE and MAPE. ResultsResults: The analysis shows that the prices of Dash, Litecoin and Monero cryptocurrency are related to Blockchain information. Also, we found that different Blockchain information improves the analysis results for each cryptocu rrency. In addition, this study found that the neural network machine learning technique provides better analysis results tha than supportsupport-vector m

      • 사회적 기업의 효율성 예측: 데이터 마이닝 기법을 이용하여

        박경보(Kyungbo Park),김한민(Han-Min Kim),홍종의(Jong-Yi Hong) 한국기술혁신학회 2019 한국기술혁신학회 학술대회 발표논문집 Vol.2019 No.11

        최근 많은 사회적 기업이 설립되었으며, 사회적 기업은 정부의 지원이 반드시 필요하다. 정부는 제한된 자원을 효과적으로 사용하기 위해 사회적 목적과 경제적 목적을 효율적으로 달성하는 사회적 기업을 예측해서 지원해야한다. 본 연구는 효율적인 사회적 기업을 판별하기 위해 자료포락분석(DEA)를 이용하였으며, 효율적인 사회적 기업이 가지는 패턴을 찾기 위해 데이터마이닝 기법을 사용하였다. 분석결과, 효율적인 사회적 기업을 예측하는 가장 우수한 데이터 마이닝 기법은 의사결정나무로 나타났으며, 차후 사회적 기업뿐만 아니라 기타 영역으로 까지 확장하여 의사결정지원에 도움을 줄 수 있을 것이다. Many social enterprises have recently been established, and they need to be supported by the government. Governments should anticipate and support social enterprises that effectively achieve social and economic objectives in order to effectively use limited resources. This study used data envelopment analysis (DEA) to identify effective social enterprises and data mining techniques to find patterns of effective social enterprises. As a result, the best data mining technique for predicting an effective social enterprise is decision tree, and it can be extended to not only social enterprises but also other areas to help decision support.

      • WO3 크리스탈 미립자의 라만산란 연구

        곽철영 ( Chul Young Kwak ),김한민 ( Han Min Kim ) 건국대학교 기초과학연구소 1991 理學論集 Vol.16 No.-

        We prepared WO3 microcrystals(μc-WO3) of different sizes by gas-evaporation technique. The average particle size of these microcrystals was determined from transmission electron micrographs(TEM). From the room temperature Raman scattering measurements we found that. the microcrystals with the particle size of 3000 ~4000Å are in the room temperature phase of the bulk WO3(Phase V). And the microcrystals with the particle size of 500Å are in mixed phases, phase V and phase VII(ferroelectric phase, below-40℃) of the bulk WO3

      • KCI등재

        텍스트 마이닝을 활용한 분야별 블록체인 연관 이슈 및 중요도 분석: 뉴스, 웹사이트, 학술분야를 중심으로

        김호익(Ho-Ik Kim),김한민(Han-Min Kim),이민환(Min-Hwan Lee) 한국디지털콘텐츠학회 2020 한국디지털콘텐츠학회논문지 Vol.21 No.8

        Blockchain is emerging as a technology that can secure mutual trust as well as cryptocurrency As interest in Blockchain is increasing, previous studies have mainly focused on cryptocurrency related to Blockchain technology. However, there is a limit to explain Blockchain because cryptography is a systematic factor for continuously operating Blockchain. On the other hand, there is little systematic analysis of perspectives in Blockchain, despite discussions and qualitative researches on Blockchain in various fields. Based on this recognition, this study tried to analyze the blockchain-related issues and importance of Blockchain by field. This study, using text mining techniques, provides an interpretation of perspectives on Blockchain in news, web site, and academic field. As a result of analyzing 2,144 text data for Blockchain. As a results, it was found that Blockchain was perceived as conflicting issues, while there were few common issues in each field. The major blockchain-related issues in each field were found to be industrial development and market status in the news, public use and policy establishment in the website, and research and development and technical use in the academic field. Finally, the implications and limitations of this study and future research directions were discussed.

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