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      • 유도 '되치기 본'의 개선 방안에 관한 연구

        김의환,김도준,김규수,김관현,김종달,최종삼,조용철,박순진,윤익선,안병근,정 훈,김미정,한성철 龍仁大學校 武道硏究所 1999 武道硏究所誌 Vol.10 No.1

        The purpose of this study was to reform practically a Korean Judo's Doechigi-Bon(Forms of Counterattack, judo's Gaeshi no Kata, Judo's Uradori no Kata, Judo's Gonosen no Kata) that was established in 1955 Korea, according to changing of techniques by Judo's modernization, in order to have Judo's carefulness and systematic diffusion. Reform procedure of Judo's Doechigi-Bon was 1st stage, Questionnaire survey 303 judokas, 2nd stage, Technical seminar by judo experts(12 judo professor) 4 times, 3rd stage, wording report for reform, 4rd stage, Discussion and judgement of Teaching and Judgement commission of Korean judo Association(KJA), 5th stage, Public hearing for reform in KJA, 6th stage, Report and decision of board of directors in KJA, 7th stage, public publication of Judo News(No.53) in KJA. Basic principle of reform of Judo's Doechigi-Bon were as table 1. Table 1. Basic principle of reform of Judo's Doechigi-Bon ------------------------------------------------------------------------------- Items Reformed Key Points of Judo's Doechigi-Bon ------------------------------------------------------------------------------- 1. Structure 1) Grand classification : Classified by 3 parts(1,2,3Gyo) 2)Medium classification : Te waza, Goshi waza, Ashi waza devided per each part(Gyo) 3)Sub-classification : Classified five techniques per each part(Gyo) 2. Contents 1) Selected established techniques as possible 2) Considered rationalty and overlapping of counterattack techniques 3. Decision of Conterattack techniques 1) Refered to results of Basic Questionnaire survey 2) Priority to decisions of Judo expert technical seminar -------------------------------------------------------------------------------- Reformed Korean Judo's Doechigi-Bon(Forms of Counterattack techniques-KJA, 1999) are as follows: 1. Gyo; ① Uki otoshi -> Uchi mata ② Harai goshi -> Harai goshi gaeshi ③ O soto gari -> O soto gake ④ Ko uchi gari -> Sasae tsurikomi ashi ⑤ O uchi gari -> Ko soto gari 2. Gyo; ① Ippon seoi nage -> Okuri eri jime ② Tsuri domi goshi -> Uki waza ③ Okuri ashi harai -> Okuri ashi harai ④ Ko soto gari -> Tai otoshi ⑤ Hiza guruma -> Hiza guruma 3. Gyo; ① Kata guruma -> Sumi gaeshi ② Tai otoshi -> Ko soto gari ③ Hane goshi -> Harai tsurikomi ashi ④ Uchi mata -> Tai otoshi ⑤ Tomoe nage -> O uchi gari

      • 연삭가공에서 절삭유 에어로졸 측정평가에 관한 연구

        황덕철,황준,우창기,정의식 한국공작기계학회 2005 한국공작기계학회 춘계학술대회논문집 Vol.2005 No.-

        This paper presents the experimental results to analyze the characteristics of cutting fluid aerosol generation in grinding process. Machining is a one of the broad manufacturing process to produce the parts, products and various molds and dies. The environmental impact due to aerosol generation via atomization process is a major concern associated with environmental consciousness. Experimental results show that the generated fine aerosol which particle size less than 10 micron appears near worker's breath zone under given operational conditions. The aerosol concentration is much higher enough to affect human health risk with its generated aerosol quantities. This qualitative analysis can be provided the basic knowledge for further research for environmentally conscious machining technology developments.

      • KCI등재

        Consumer Sentiment and Housing a Market Activities

        Eui-Chul Chung(정의철),Donald R. Haurin 한국주택학회 2010 주택연구 Vol.18 No.4

        본 연구에서는 소비자의 주택구입 심리가 주택판매량 및 착공량에 미치는 영향을 분석하였다. 주택판매량 및 착공량과 시장기본요인 및 주택구입 심리간의 장.단기적 관계를 파악하기 위해 오차수정모형을 구축하였으며, 미국의 1971년 2분기부터 2008년 1분기까지의 분기별 시계열 자료를 이용하여 모형을 추정하였다. 추정결과 주택판매량(신규 및 기존주택 판매량) 및 착공량과 소비자 주택구입 심리 및 주요 경제변수들 사이에는 공적분관계가 성립하였으며 장기균형에 수렴하는 오차수정 메카니즘이 존재하였다. 단기적 불균형을 조정하는 속도는 신규 주택판매량이 상대적으로 높았으며, 기존주택 판매량이 상대적으로 낮았다. 소비자 주택구입 심리지수는 주택판매량과 착공량의 단기적 변화에 영향을 주는 주요 변수 중 하나로 나타났다. 또한 소비자 주택구입 심리지수는 주택판매량과 착공량에 대하여 다기간 영향을 주는 것으로 분석되었으며 이러한 영향이 주택시장의 변동성에 영향을 주었을 것으로 판단된다. 한편 소비자 주택구입 심리지수가 설명변수로 포함된 모형은 그렇지 않은 모형에 비해 모형의 설명력을 크게 증대시키는 것으로 나타났다. 신규주택 판매량을 종속변수로 이용한 모형의 경우 조정된 결정계수 값이 0.23, 기존주택 판매량의 경우 0.29, 주택착공량의 경우 0.15만큼 증가하는 것으로 분석되었다. 종합적으로 볼 때 소득, 금리, 주택생산비용 등 시장기본요인들이 주택판매량과 착공량을 설명하는데 중요하지만 소비자 심리지수 또한 매우 중요하고 가치있는 추가적인 정보를 제공한다고 볼 수 있다. This study examines the influenced of consumers’ sentiment about the housing market on housing market outcomes. Error correction models are estimated focusing on the long run properties and short run dynamics of home sales and housing starts. We find that home sales and housing starts are cointegrated with a measure of consumer sentiment as well as key economic variables, and there exists an error correction mechanism in home sales and housing starts. The speed of adjustment correcting disequilibrium conditions is relatively fast in the new home sales market and relatively slow in the existing home sales market. Consumer sentiment is found to be one of the major variables affecting the short run change in home sales and housing starts. The consumer sentiment variable also produces a multiperiod effect on housing and this effect likely increases the volatility of the market. Overall, our results indicate that market fundamental variables are not sufficient statistics to represent observed housing market outcomes and consumers’ attitudes provide significant and valuable additional information.

      • KCI등재
      • KCI등재
      • KCI등재

        자가주택소유의 묵시적 소득을 고려한 소득불평등 연구

        정의철 ( Eui Chul Chung ),김진욱 ( Geneuhc Kim ) 한국부동산분석학회 2009 不動産學硏究 Vol.15 No.3

        This paper examines the impact of imputed income from owner-occupied housing on household`s income inequality. An ower-occupier earns implicit income from not paying rent for her house whereas she has to pay rent if renting. This imputed income is found to take unignorable portion of the household`s total income. Using KLIPS data in 2005, we measured total income inequality and then decomposed it by income sources including imputed income from owner-occupied housing. We then analyzed the marginal contribution of imputed income to total income inequality. It was found that, based on owner-occupier sample, the Gini coefficient of imputed income was 0.55, higher than that of labor income but much lower than other income sources such as financial income and property income. The relative marginal impact of imputed income on total income inequality was-0.023, meaning that 1% increase in imputed income decreases total income inequality by 0.023%. Imputed income worked as an equalizing factor of total income inequality for owner-occupiers. Based on full sample including non owner-occupiers, the Gini coefficient of imputed income was found to be 0.73, greater than that from owner-occupier sample. The relative marginal impact of imputed income was 0.007, meaning that imputed income has a negligible impact on total income inequality. These results indirectly suggest that government policies to support homeownership can moderately contribute to lessen income inequality.

      • KCI등재후보
      • KCI우수등재
      • KCI등재

        주거비용이 청년층의 가구형성에 미치는 영향 분석

        정의철 ( Eui Chul Chung ) 한국부동산분석학회 2012 不動産學硏究 Vol.18 No.2

        This paper examines the determinants of household formation of young adults with a special emphasis on the effects of housing costs. Based on KLIPS data in 2004 and 2008, probit models were estimated to understand household formation behavior of young adults with 20 to 35 years of age. The estimation results indicate that, while the age and labor income of young adults are important factors for young adults to leave their parental homes and to form new households, their marital status is found to be the most significant determinant. The marginal effect analysis shows that when a young adult is married, the probability of forming a new household increases as much as 78%. Chonsei price as housing costs is also found to be influential to household formation of young adults. An increase of Chonsei price as much as 10 million Won decreases the probability of household formation as much as 1.3 percent. If the annual rate of increase in Chonsei price is 10 percent point higher, the probability decreases as much as 0.2 percent.

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