• 무역상무연구
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• 제55권
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• pp.155-181
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• 2012

This study considered as precautions in light of practical affairs related to a claim for damages focusing on CISG (1980) and PICC (2004). Given summarizing contents of this study, those are as follows. First, when exercising a claim for damages, proving the damages may be difficult and hard. Thus, there is necessity for stating the liquidated damages clause in contract given conclusion of contract. Second, as for the application of interest rate given a claim for interest, CISG is not covered interest rate. PICC is covered interest rate. However, there is possibility that PICC will not be applied as general principles. Thus, to remove this insecurity and uncertainty, there is necessity for stating this in contract by deciding on the detailed standard stipulation after fully discussing about interest payment with the counterpart given sale contract. Third, when a seller delivered non-conformity of the goods for contract, a buyer is desirable to exercise by discreetly judging the exercise method or limitation element on a problem of selecting and exercising remedy favorable to oneself out of a claim for damages and a right to reduce the price. Finally, There was suggestion that the contract parties are desirable to utilize by modifying and supplementing properly this in line with own business-based necessity and situation based on the ICC Model International Sale Contract, and to state CISG and PICC the governing law clause, in preparing contract. This study is expected to possibly become guideline in which the damaged party exercises a claim for damages or aims to cope with the counterpart's exercising a claim for damages.

• 지적과 국토정보
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• 제44권2호
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• pp.231-242
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• 2014

주택의 착공과 동시에 수분양자에게 주택을 분양하는 주택선분양제에서는 사업자가 분양의무를 이행하지 못할 위험이 항상 존재한다. 이러한 위험으로부터 수분양자를 보호하기 위해 주택분양보증제도가 도입 운영되고 있으나, 주택분양보증사고가 발생하면 수분양자 피해발생 등 여러 문제점이 발생한다. 따라서 주택분양보증사고에 대한 관심이 높지만, 지금까지 주택분양보증사고 발생요인에 대한 연구는 별로 없었다. 본 연구는 이러한 배경에서 주택분양보증사업의 사업장 특성과 사업자 특성 등의 자료를 기초로 주택분양보증사고에 영향을 미치는 요인을 분석하고 예측모형 개발의 가능성을 검토하였다. 분석방법으로는 이항로지스틱 회귀모형을 사용하였다. 분석결과 주택분양보증사고 발생은 주택분양사업장 소재지, 사업유형, 건설하는 주택의 유형, PF대출보증 유무 등의 사업장 특성과 시행사 시공사 신용등급, 주택건설 착공연도 등에 영향을 받는 것으로 나타났다.

• 한국주거학회논문집
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• 제14권4호
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• pp.109-119
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• 2003

This paper has examined a resident's feeling of satisfaction on residential environment. It has searched a policy direction to improve the quality of residential environment with three models in which what factors have an influence on the resident's feeling of satisfaction is evaluated. First, when the residents were asked why they chose lease APT, Low price was answered the most between two populations. Second, with regard to the feeling of satisfaction by categories, both populations showed similar results. The social prejudice on lease APT such as disadvantage on their children and unfavorable surroundings that has been engraved in people's mind about lease APT for a long time was never an issue any more. Third, when the two populations were examined by regression analysis with three models in terms of what factors had an effect on the feeling of satisfaction, there was no big difference in each effect of variables. Internal environment was a key variable for lease APT while external environment was a core variable for the APT that is converted into installment sale. In order to enhance the feeling of satisfaction on residential environment for lease APT residents, high quality turned out the most important factor between both populations, and then a loan with low interest rate and high average standard of APT followed. As unsatisfactory items, low cultural level, slowness in repairing works, and unsatisfactory finishing work were pointed out with regard to the low quality of internal facilities. In general, it turned out that the APT that was converted into installment sale was more preferable than lease APT. As known in this analysis, housing supply policy needs to be focused on quality and high average standard of APT should be achieved for the working classes.

• International Journal of Advanced Culture Technology
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• 제10권1호
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• pp.274-283
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• 2022

Korea is facing a number difficulties arising from rising housing prices. As 'housing' takes the lion's share in personal assets, many difficulties are expected to arise from fluctuating housing prices. The purpose of this study is creating housing price prediction model to prevent such risks and induce reasonable real estate purchases. This study made many attempts for understanding real estate instability and creating appropriate housing price prediction model. This study predicted and validated housing prices by using the LSTM technique - a type of Artificial Intelligence deep learning technology. LSTM is a network in which cell state and hidden state are recursively calculated in a structure which added cell state, which is conveyor belt role, to the existing RNN's hidden state. The real sale prices of apartments in autonomous districts ranging from January 2006 to December 2019 were collected through the Ministry of Land, Infrastructure, and Transport's real sale price open system and basic apartment and commercial district information were collected through the Public Data Portal and the Seoul Metropolitan City Data. The collected real sale price data were scaled based on monthly average sale price and a total of 168 data were organized by preprocessing respective data based on address. In order to predict prices, the LSTM implementation process was conducted by setting training period as 29 months (April 2015 to August 2017), validation period as 13 months (September 2017 to September 2018), and test period as 13 months (December 2018 to December 2019) according to time series data set. As a result of this study for predicting 'prices', there have been the following results. Firstly, this study obtained 76 percent of prediction similarity. We tried to design a prediction model of real estate transaction price with the LSTM Model based on AI and Bigdata. The final prediction model was created by collecting time series data, which identified the fact that 76 percent model can be made. This validated that predicting rate of return through the LSTM method can gain reliability.

• 한국수소및신에너지학회논문집
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• 제28권1호
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• pp.47-55
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• 2017

This paper deals with the after-tax economic feasibility analysis of the hydrogen fueling station considering dynamic utilization. We selected an off-site hydrogen station in which the hydrogen is supplied by a central by-product hydrogen plant as a case study. Also, we made some sensitivity analysis by changing input factors such as the discount rate, the hydrogen station construction cost, the hydrogen demand and the hydrogen sale price. As a result, the hydrogen station will not be economical in 2020 due to the relatively high price of the hydrogen station construction cost and the low price of hydrogen sale price. In order to realize the economic feasibility of the hydrogen station in the early stage of the hydrogen economy, the subsidies on the annual operating cost as well as the construction cost are needed.

• 국제학술발표논문집
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• The 2th International Conference on Construction Engineering and Project Management
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• pp.490-497
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• 2007

Since the foreign currency crisis, Korean economy has suffered recession and the government launches residence and real estate policy in order to increase the demand and trade of real estate and to help the economy revitalization. 1 As a result, the rate of economy growth is shown the high increase with the figure of 10.9% in 1999 and 8.8% in 2000. However, it brings overheating market as a negative effect. Although, the government established the policy for the control of speculation, the policy causes instability of economy. This study is to analyze the effect between the residence policy and the housing cost since the foreign currency crisis through housing sale price estimation and housing lease price estimation and is to apply the basis data of the next residence policy.

• 혜화의학회지
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• 제22권1호
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• pp.129-143
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• 2013

This study was conducted to investigate the residue amount of pesticide on the 41 medicinal herbs in Daejeon area. This study was carried out to monitor the current status of pesticide residues in commercial medicinal herbs for sale of food use in 2012. It was performed using GC/ECD, GC/NPD, HPLC to analyze pesticides residues. Residues of 283 pesticides were analyzed by a simultaneous multiresidue method in 41 medicinal herbs being on sale in Daejeon. The medicinal herbs detected pesticides in 10 of 41 cases, showed a detection rate of 24.39%. The medicinal herbs which exceed the maximum residue limit were five cases as Cnidii Rhizoma, Osterici Radix, Artemisiae Capillaris Herba, Zizyphi Fructus and Alismatis Rhizoma. And pesticide residue of Cnidii Rhizoma and Alismatis Rhizoma exceeds the limit standard presented in only medicine use of KFDA. The residual pesticides which had the high detection rate were Chlopyrifos, Tebuconazole and Endosulfan in the detection of medicinal herbs. For further research, standards of Pesticide Residues in medicinal herbs should be added and more research of pesticide residues in medicinal herbs required. And standards of pesticide residues in medicinal herbs should be applied equally as medicines and food.

• 대한산업공학회지
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• 제15권2호
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• pp.87-91
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• 1989

A warranty is a contractual obligation incurred by a producer in connection with the sale of a product. The warranty specifies that producer agrees to remedy certain failures in the product sold. There have been many articles dealing with warranties, but they have studied about optimal warranty cost for the warranty period. In this study, an optimal preventive maintenance time interval is computed. The optimal preventive maintenance time interval minimizing warranty cost for the warranty period is discussed. It is assumed that failure rate is increasing and the failure rate after preventive maintenance or corrective maintenance lies between good as new and bad as old.

• 복식
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• 제51권2호
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• pp.53-64
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• 2001

The purpose of this study is to create the program for efficient inventory management and reduction, investigating the present conditions and factors of the inventory throughout current apparel industry. The research method applied in this study is to survey 92 domestic companies which were randomly selected with respect to the kinds of goods produced : men′s wear, women′s wear, and unisex wear. The research can be summarized as follows : 1. The seasonal stock rate of current apparel industry was 28.75%, and the rate of men′s wear companies was higher than that of women′s and unisex wear companies. 19.43% of stock cost reflection rate was applied, and the stack cost of men′s and women′s wear companies was higher than that of unisex wear companies. 2. Periodic bargain sale was the most frequently used way of stock clearance, and "uniform price sale"and outlet stores were the second and the third irrespectively. Unisex wear companies appeared to be more enthusiastic in stock clearance than the companies belonging to the other two categories. The main places for the stock clearance were department stores, outlet stores and enterprises specialized in the stock clearance. 3. QR production was proved to be the most commonly adjusted method of stock reduction, and the emphasis on development of new design and the utilization of stock management system through computer network were the next, While unisex wear companies had established the positive policies, men′s wear companies took lukewarm altitudes in every aspect. The companies selling on an order were 18.64%, and unisex wear companies showed the higher rate. The lead-time after QR production was 10.91 days, and it seemed to take more time for men′s wear companies than for women′s and unisex wear companies. The rate of the chance in stock was proved to decrease by 12.94%, and there was found no meaningful difference among the three categories of apparel companies.

• 경영과학
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• 제26권3호
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• pp.11-21
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• 2009

In this paper, we proposed some valuable analysis results of cultivation campaign marketing in A mobile telephone company. The cultivation campaign marketing is a new outbound TM campaign strategy composed of 4 steps for new subscribers. During the analyses, attrition rate of A mobile company, outbound TM rejection rate, contact rate/call success rate and additional service attrition rate after subscription are measured as an effect of cultivation campaign. The results showed that there were no statistical significance in improving retention rate between customers experienced 4 step cultivation campaign and control group. However, the cultivation campaign had a better effect on improving response rate and success of selling additional service product of mobile company compared to general selling campaign. This is because cultivation campaign group had been taking care of from subscription time. It is suggested that cultivation campaign had better confined customers more likely to buy additional service to outbound TM for the sake of financial efficiency.