추나요법을 적용한 추간판탈출증에 의한 경추척수증 환자 치험 1례

유정석,이휘용,조이현,Yu, Jung-Suk,Lee, Hwi-Yong,Cho, Yi-Hyun 척추신경추나의학회 2008 척추신경추나의학회지 Vol.3 No.1

Objects : This study was to report a clinical effect of Chuna Treatment for Cervical Myelopathy due to disc herniation. Methods : The patient was diagnosed as Cervical Myelopathy due to disc herniation through Cervical spine MRI and treated by cervical traction technique of Chuna Treatment with conservative management. JOA score(Japanese Orthopedic Association score), Recovery rate of Hirabayashi, VAS(Visual Analogue Scale), Dynamometer score, ROM(Range of Motion) and Motor weakness Grade were used. Results and Conclusion : JOA score, VAS, Dynamometer score, ROM and Motor weakness Grade were improved and Recovery rate was 100%.

부동산가격지수를 활용한 파생금융상품 개발방안 연구

유정석(Yu, Jung Suk) 한국부동산학회 2011 不動産學報 Vol.45 No.-

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to suggest the desirable direction to develop financial derivatives and index-linked securities based on real estate price indexes. (2) RESEARCH METHOD This study was focused on real estate market research and case study. The data for the analysis consist of the size of commercial/non-commercial real estate markets and capital markets in a group of advanced countries such as the US, UK, and Japan including Korea. Case study covers the examples of operating real estate derivatives markets in US and UK. (3) RESEARCH FINDINGS Unlike commercial real estate index, it is possible to develop not only real estate derivatives but also index-linked securities and funds once reliable housing real estate price indexes are publicly traded in Korea exchange. 2. RESULTS To determine underlying assets for real estate derivatives, it is recommended to benchmark KOSPI 200 index futures transactions. However, the time is not yet ripe for the development of financial derivatives based on commercial real estate market indexes in Korea because time-series available have a very short history and transaction is relatively opaque, private as well as scarce compared to that of advanced countries.

당뇨의 한의학적 치료에 대한 최근 연구동향

정한성,유정석,송범용,Jung, Han-Sung,Yu, Jung-Suk,Song, Beom-Yong 대한약침학회 2008 Journal of pharmacopuncture Vol.11 No.4

Objective The purpose of this study was to analyze the directions of Korean Medicine treatment of diabetes mellitus. Methods We reviewed the 52 studies about diabetes mellitus which had been published from 2000 to 2007. We selected those studies from the search engine of the web site of five journals. Those were the Journal of Korean Oriental Medical Society, Korean Journal of Oriental Physiology & Pathology, the Journal of Korean Acupuncture & Moxibustion Society, Korean Journal of Oriental Internal Medicine and the Journal of Korean Pharmacopuncture Institute. Results 1. The types of diabetes mellitus model in studies were the model used Alloxan(2cases), the model used Streptozotocin(41cases), NOD mice(1case), ob/ob mice(1case), db/db mice(5cases) and rats fed highfat diet(2cases). 2. The types of method in studies were pharmacopuncture(8cases), herbal medcine(47case) and both pharmacopuncture and herbal medcine(3cases). the types of materials in studies were single herb(24cases), multiple herbs(32cases) and both single and multiple herbs(4cases). 3. The types of evaluation criteria in studies were glucose, pancreas, liver, kidney, serum lipid, oxidative stress, nervous system, vascular system and immunity. Conclusions There have been reported many studies of diabetes mellitus in Korean Medicine. It requires to study further types of diabetes mellitus, kinds of herbs and complications of diabetes mellitus for Korean Medicine treatment of diabetes mellitus was covered the ground.

Sweet Bee Venom과 Bee Venom이 심박변이도(HRV)에 미치는 영향

육태한,유정석,정한성,Yook, Tae-Han,Yu, Jung-Suk,Jung, Han-Sung 대한약침학회 2008 Journal of pharmacopuncture Vol.11 No.1

Objective : In this study, we investigated the effects of Sweet Bee Venom(SBV) and Bee Venom(BV) at a acupoint, HT7(Shinmun) on the Heart Rate Variability(HRV) in the healthy man. And we tried to observe how Sweet Bee Venom and Bee Venom affects on the balance of the autonomic nervous system. Methods : We investigated on 22 heathy volunteers consisted of 10 subjects in SBV group and 12 subjects in BV group. Study form was a randomized, placebo-controlled, double-blind clinical trial. 22 subjects of each group were injected SBV and BV at HT7(Shinmun). And we measured HRV by QECG-3:LXC3203 (LAXTHA Inc. Korea) on 7 times : before and after injection per 5minutes during 30minutes. Results : 1. After SBV injection, Mean-RR was significantly high from 0 to 10 minutes, Mean-HRV was significantly low from to 10 minutes, SDNN was significantly high after 25minutes, Complexity was significantly high from 5 to 10 minutes and RMSSD was significantly high from 5 to 10minutes. 2. Complexity of SBV Group significantly decreased from 20 to 25minutes, RMSSD of SBV Group significantly increased from 10 to 15minute and from $20{\sim}25$minutes, SDSD of SBV Group significantly increased from 10 to 15 minute and from $20{\sim}25$minutes compared with that of BV group. 3. After SBV injection, Ln(VLF) was significantly from 25 to 30minutes. Conclusions : The results suggest that SBV in heathy adult man tend to activate the autonomic nervous system compared to BV within normal range.

서울시 단독주택 경매 낙찰결정요인 분석

김정선(Kim Jung Sun),유정석(Yu Jung Suk) 한국부동산학회 2015 不動産學報 Vol.60 No.-

부동산거래는 공급자와 수요자간 협상이 요구되는 일반시장과 수요자간 경쟁에 의해 형성되는 경매시장으로 구분된다. 최근 부동산 경매시장은 경기침체와 소득저하 등으로 공급이 증가하였고, 과거에 비해 부동산경매와 관련한 정보의 획득이 용이하고 시세보다 저렴한 가격에 부동산을 구입할 수 있다는 장점으로 수요가 증가하고 있다. 본 연구는 최근 양적 및 질적으로 확대되고 있는 부동산 경매시장에 대하여 다양한 정보를 제공하고자 로지스틱 회귀분석을 실시하여 경매 낙찰결정요인을 분석하였다. 실증분석은 2014년 1월부터 12월까지의 서울시 소재 주거용부동산 중 단독주택만을 기준으로 하였으며, 분석결과 낙찰확률을 증가시키는 변수는 개발여부, 낙찰가비율, 유찰횟수이며, 낙찰확률을 감소시키는 변수는 건물이용, ln감정가액, 임차인유무, 경매범위, 인수권리유무 등으로 나타났다. 1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to closely examine and provide statistical analysis on what variables and how they determine the success or failure of the auction of single houses. (2) RESEARCH METHOD The subject of examination in this research is restricted to single houses located in Seoul which were up at public auctions in 2014. For public bidding has a distinct feature that it is held on a specific day and its success and failure is determined that day, Logistics Regression Analysis model is used for examination. (3) RESEARCH FINDINGS Chief findings of this research seem to be consistent and plausible enough to provide meaningful results for the auction participants so as to enhance their predictability and make a contribution to their wise decision-making. 2. RESULTS The results of this study are as follows. 1) The variables that elevate the probability of success in bidding are found to be the followings: Whether the real property is repaired or well developed, a ratio of final contract price to the official evaluation price of the property and the number of biddings performed. 2) The variables that reduce the probability of success in bidding are found to be the followings: Whether the residential real property is used as single housing or multi-unit housing, the log value of official evaluation price of the property at the start of its auction, whether there is a tenant of the house, whether it is a stake auction and whether the final successful bidder should take over burden such as lien and legally protected superficies.

주택가격에 대한 심리적 태도가 주택 매매 거래량에 미치는 영향 분석

김대원(Dai-Won Kim),유정석(Jung-Suk Yu) 한국주택학회 2013 주택연구 Vol.21 No.2

본 연구에서는 시장 참여주체들의 심리적 태도가 거래량에 미치는 영향을 파악하기 위하여 주택소비심리지수와 거래량의 관계를 중심으로 분석을 실시하였다. 분석 모형을 설정함에 있어, 주택소비심리지수의 측정기간이 16개월에 불과한 점을 감안하여 15개 광역시·도별 데이터를 사용하는 패널데이터 분석으로 방법을 정하였다. 이 때, 주택시장 현실에서 주택 매매의사가 곧바로 매매거래 성사로 이어지지 못하고 일정 기간의 시차를 두고 이루어짐을 고려하여 패널 FDL 모형을 분석의 틀로 사용하였다. 패널 FDL 모형의 시차 결정을 위하여 본 연구에서는 주택소비심리지수와 거래량 간의 시차상관계수를 구하였으며, 주택소비심리지수에 3차 시차를 적용한 경우에 가장 많은 지역에서 최대 상관계수가 나타나는 것으로 확인되어 시차 3차를 패널 FDL 모형에 적용하였다. 또한, 패널 FDL 모형을 설정함에 있어 적합한 모형 추정 방법을 결정하기 위하여 몇 가지 가설검정을 실시하였다. 검정 결과, 본 연구에서는 패널 FDL 모형을 확률효과모형으로 추정하되, 개체간 이분산성을 고려하여 표준오차를 조정하는 robust 변량 추정방법을 사용하였다. 모형 추정 결과, 모든 시차에서 주택소비심리지수는 거래량에 양(+)의 영향을 미치고 있었으며, 시차가 증가할수록 계수 값은 감소하는 것으로 나타났다. 즉, 주택가격에 대한 심리적 태도는 일정기간의 시차를 두고 거래량 결정에 영향을 주고 있으며, 가격 상승에 대한 기대방향과 거래량 증가의 방향이 동일함을 분석 결과는 보여주고 있다. 본 연구의 분석 결과는 우리나라 주택시장에서도 소비심리지수가 주택시장을 예측할 수 있는 중요한 변수임을 보여주고 있는데, 이는 곧 국내 부동산시장 분석에 있어서 시장 참여주체들의 심리적 태도를 중요한 변수로 고려해야 함을 본 연구는 시사하는 것으로 보인다. 시장이란 결국 시장 참여주체들의 의사결정에 의해 이루어지는 공간이기 때문에 시장에서의 현상을 인간의 심리적 특성으로 이해하려는 시도는 다양하게 확장 및 응용되어 주택시장의 작동 원리를 이해하는데 많은 도움이 될 것으로 기대된다. This study examines the relationship between consumer sentiment and the trading volume to figure out the influence of a psychological attitude in the housing market. In regard of setting up the analysis model, we select panel data analysis of 15 cities and 16 month time series data considering the time series data are insufficient. Meanwhile, there's time lag between the market participant's intention and transaction, so panel FDL model is estimated. Estimation results reveal that consumer sentiment at every lag has positive(+) influence on the trading volume, the coefficient is getting smaller when the lags are getting bigger. What we can infer from the analysis results is that the psychological attitudes on the housing price affect trading volume with time lags, and the direction of the attitudes and the trading volume is identical. All these results show that the consumer sentiment could be a predictor of the housing market, which means we should take the psychological attitudes of the market participants as one of the important variables when we analyze the real estate markets in Korea.

주택가격에 대한 환율의 동태적 파급효과 분석

성용림(Sung, Yong Lim),유정석(Yu, Jung Suk) 韓國不動産學會 2013 不動産學報 Vol.54 No.-

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to figure out the relationship between foreign-exchange market and real estate market before and after Korean currency crisis and global financial crisis. (2) RESEARCH METHOD This study performed theoretical reviews and empirical analyses on foreign exchange rate and housing prices. This study obtained theoretical points of relations between them, drew related factors from the theoretical review discussed above, and used them for empirical analysis data. Especially this study utilized a VAR(vector autoregression) model. (3) RESEARCH FINDINGS In the results of this study, the major influence factors of housing prices were foreign exchange rate and interest rate, and empirically the most influence of housing prices was foreign exchange rate. 2. RESULTS The foreign exchange rate and housing prices had a positive(+) correlation before Korean currency crisis, they had a negative(-) correlation after Korean currency crisis, and after global financial crisis there was little change of housing prices when foreign exchange rate changed.

실물옵션을 이용한 민간부문 후분양제 사업가치 평가 : 위례신도시를 중심으로

진연화 ( Jin Yeon Hwa ),유정석 ( Yu Jung Suk ) 한국감정평가학회 2021 감정평가학논집 Vol.20 No.3

우리나라의 주택공급제도는 선분양제와 후분양제를 모두 허용하고 있지만, 주택건설업체의 자금난 등 금융지원 체계의 어려움 등으로 주택업계에서는 선분양제를 선호하고 있다. 우리나라의 선분양제도의 문제점인 주택가격 폭등으로 시세 차익을 기대하는 수분양자 또는 투기 세력을 차단하기 위하여, 단계적으로 후분양제를 도입하여야 함에도 주택업계의 초기 자금난과 미분양 위험 때문에 신속하게 후분양제를 도입하는 데 어려움이 있다. 본 연구에서는 주택시장의 정상화를 위해 주택을 완공 후 공급하는 후분양제도를 확대하기 위하여 위례 신도시 공공분양을 민간부문 중심으로 후분양제 도입을 위한 사업가치 평가 사례를 분석하였다. 본 연구는 민간 부문에서 공공택지를 우선 공급받아 후분양제를 시행하는 경우, 다양한 인센티브를 반영한 후 선분양제와 후분양제(공정률 60%, 100%)별 분양가격을 책정하여 민간분양주택의 사업성 가치를 평가하였다. 선분양의 순현재가치(NPV)는 수익이 발생하지만, 정부의 인센티브를 미적용 시 후분양에서는 사업성이 낮아 현시점에서는 후분양 도입이 어려운 것으로 나타났다. 하지만 본 연구에서 실물옵션 모형을 적용하여 후분양에 따른 미래의 불확실성을 옵션 가치로 추정한 결과, 사업추진이 가능한 것으로 산출되었다. 따라서, 민간 부문에서는 정부의 다양한 인센티브를 활용하여 신중히 후분양제를 도입할 필요성이 있다. Korea’s housing supply system allows for both the pre-sale and post-sale systems. However, the housing industry prefers the pre-sale system due to difficulties in obtaining financial support, particularly concerning housing construction companies. There needs to be a way to prevent purchasers or speculators from expecting development profits due to a surge in housing prices, an ongoing problem with Korea's pre-sale system. Despite the government’s introduction of the post-sales system in stages, it is difficult to quickly introduce the post-sales system due to the initial financial difficulties in the housing industry and the risk of unsold houses after completion. This study analyzes the case of business value evaluation of the Wirye New Town, focusing on the private sector for the purpose of expanding the post-sale system which supplies houses after the completion of the construction to normalize the housing market. This study evaluates the feasibility of private sale housing by setting the sale price for each pre-sale system and post-sale system (60% and 100% completion rate) after reflecting various incentives when the private sector first receives public housing land and implements the post-sale system. The study shows that while the net present value (NPV) of pre-sale generates revenue, if the government incentives are not applied, it is presently difficult to introduce a post-sale system due to low business viability. However, after estimating the future uncertainty caused by an optional post-sale system by applying the real option model in this study, it indicates that the project could be pursued. Therefore, in the private sector, it is necessary to carefully introduce the after-sales system using various government incentives.

머신 러닝 방법과 시계열 분석 모형을 이용한 부동산 가격지수 예측

배성완(Seong Wan Bae),유정석(Jung Suk Yu) 한국주택학회 2018 주택연구 Vol.26 No.1

본 연구의 목적은 부동산 가격지수 예측을 위한 머신 러닝 방법의 활용가능성을 확인하는 것이다. 이를 위해 머신 러닝 방법인 서포트 벡터 머신, 랜덤 포레스트, 그래디언트 부스팅 회귀 트리, 심층신경망, LSTM과 시계열분석 방법인 자기회귀이동평균모형, 벡터자기회귀모형, 베이지언 벡터자기회귀모형을 이용하여 아파트 매매실거래가격지수를 예측하고 모형간 예측력을 비교하였다. 연구 결과, 첫째, 머신 러닝 방법의 예측력이 시계열분석 모형보다 우수한 것으로 나타났다. 둘째, 시장이 안정적인 상황에서는 머신 러닝 방법과 시계열분석 방법 모두 시장 추세를 적절히 예측하는 것으로 나타났다. 셋째, 구조적인 변화 또는 외부 충격으로 시장이 급변하는 경우 머신 러닝 방법은 시장 추세를 대체로 유사하게 예측하는 것으로 나타났으나, 시계열분석 방법은 시장 추세를 전혀 예측할 수 없는 것으로 나타났다. 향후 머신 러닝 방법을 활용함으로써 부동산 시장에 대한 예측의 정확성이 향상 될 것으로 기대된다. This study aims to explore the feasibility of using machine learning methods to forecast the real estate price index. To do so, machine learning methods, such as support vector machine, random forest, gradient boosting regression tree, deep neural networks, and long short term memory networks (LSTM), and the time series analysis methods such as the autoregressive integrated moving average model (ARIMA), the vector autoregression model (VAR), and the Bayesian vector autoregressive model (Bayesian VAR), were used to predict the real estate price index for apartments. The following were the main findings of the comparison of their predictive abilities. First, the predictive power of machine learning methods is superior to that of the time series analysis methods. Second, in a stable market situation, both machine learning and time series analysis methods can predict market trends moderately well. Third, when the market undergoes a dramatic change due to structural changes or external shocks, the machine learning method can accurately predict market trends for the most part, whereas the time series analysis method fails to do so. Thus, the accuracy of real estate market forecasts can be expected to improve with the use of machine learning methods.

유치권의 재해석을 통한 부동산 경매의 불확실성 해소 방안에 관한 연구

노한장(No, Han Jang),유정석(Yu, Jung Suk) 韓國不動産學會 2013 不動産學報 Vol.53 No.-

1. CONTENTS (1) RESEARCH OBJECTIVES The purpose of this study is to explore an interpretational method for solving the uncertainty and its evil influences on real estate auctions. This study takes aim at supporting our prior study that recognizes priority performance and opposing power restriction of lien how it will go far toward solving the problems resulted from lien in real estate auctions. (2) RESEARCH METHOD This study was carried out through theory analysis and alternative re-interpretation of related laws on lien in real estate auctions. This is the follow-up study of our prior paper, therefore it is fundamentally based on the premises that lien also has the legal effects of priority performance and opposing power restriction in real estate auctions. For this reason, this study discusses the effect of lien from a different point of view as compared with the traditional majority opinions. We exhibited the theoretical logics why the existence of lien makes the procedures uncertain in real estate auctions. We analyzed lots of pre-existing studies and scrutinized the trend of judicial precedents of the Supreme Court in relation to the topic. This study has a totally unique approach in that it deals with both the practical and procedural laws systematically. In addition, this study features in discussing because it provides with realistic solutions within the current legal systems without any further actions. (3) RESEARCH FINDINGS Lien gives rise to uncertainty of real estate auction procedure through its biased value information. The existence of lien exerts a great influences on the performance of real estate auctions : (1) It increases the number of mismatching properties; (2) It turns down the rate of successful quantities and sold prices. Lien makes the successful bidders be liable for unexpected damages on account of unconditional debt undertakings. 2. RESULTS This study provides with an interpretational method from the viewpoint of new approach in order to solve the nuisance of lien in real estate auctions. It is strongly suggested that the prevailing opinions of denying allotment qualification for lien and imposing an unlimited debt undertaking on the successful bidders should be modified as follows: 1) It should be recognized that lien holds the qualification for allotment like other typical security rights including mortgage and pledge; 2) The bidders' unlimited debt undertakings for lien need to be taken switchover to conditional responsibility in accordance with the principle of opposing power. This study may contribute to settle the nuisance of lien and to revitalize the real estate auction markets.