• Korean Journal of Social Welfare
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• v.58 no.2
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• pp.5-31
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• 2006

Since enforcement of the anti-prostitution law, in spite of systematic setting helping escape prostitution of the women who engage in prostitution that they have had the will lasting prostitution. Therefore, this study aimed to devise intervention plan helping their escape prostitution and return to social by examining individual and structural factor obstructing their escape prostitution The data were collected through the in-depth interview and text. And these were analysed according to coding, constitution of concept, matching, construction of explanation on the phenomenon. The nine women who engaging in prostitution were participated in this study. As a result of the data analysis, 46 concepts and 10 categories were generated. By classification of individual and structural factor, the outcomes of an interpretation were as follows: The cause obstructing Prostitutes' escape prostitution were (1) distrust on the policy of the government, (2) life-script was made by reaction-formation, (3) predestined resignation caused by anxiety, (4) body as capital goods, and (5) the commensal model with pimp. Based on this result, we proposed practical and political alternative plans for prostitutes.

• The KIPS Transactions:PartB
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• v.11B no.2
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• pp.207-212
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• 2004

This paper presents a reinforcement learning framework for stock trading systems. Trading system parameters are optimized by Q-learning algorithm and neural networks are adopted for value approximation. In this framework, cooperative multiple agents are used to efficiently integrate global trend prediction and local trading strategy for obtaining better trading performance. Agents Communicate With Others Sharing training episodes and learned policies, while keeping the overall scheme of conventional Q-learning. Experimental results on KOSPI 200 show that a trading system based on the proposed framework outperforms the market average and makes appreciable profits. Furthermore, in view of risk management, the system is superior to a system trained by supervised learning.

• The Journal of the Korea Contents Association
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• v.17 no.9
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• pp.406-417
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• 2017

The purpose of this study was to analyze an experience of sexual traffic victims and contribute for its formation of theory based on the results. A method of study was performed by using grounded theory method of Strauss and Corbin(1988). Through the results of study, one hundred and five concepts and thirty five subcategories and seventeen categories were deducted. 'destroy of mind and body' from the central phenomenon. The core category of experience of escaping from prostitution was presented by 'return of ordinary life recovered from destroy of life 'and the process of escaping from prostitution was presented in order of 'destroy of mind and body step', 'abandonment step', 'recovery of will step', 'challenge of adaption of ordianry life step'. In the study, it followed that an independent their own will of a sexually exploited women play an important role for a successful escaping from prostitution.

• Journal of Navigation and Port Research
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• v.26 no.3
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• pp.337-344
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• 2002

Although the number of site for ship sale and purchase are increasing year by year, we can not find the agent system for retrieving the necessary data automatically and efficiently. The object of this paper is to find the design structure of the intelligent agent systems by using wrapper technology. This paper is composed of two contents : design of retrieving system for agent and its application to ship sale and purchase. This paper will be evaluated in terms that its target domain is ship sale and purchase. In the result of the study, agent process is composed of reading URL, taking the source data, processing tag, pattern analysis, and storing the contents analysed.

• Journal of the Korea Convergence Society
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• v.10 no.1
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• pp.7-12
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• 2019

The application of neural networks to stock forecasting has received a great deal of attention because no assumption about a suitable mathematical model has to be made prior to forecasting and they are capable of extracting useful information from data, which is required to describe nonlinear input-output relations of stock forecasting. The paper builds neural network models to forecast daily KOrea composite Stock Price Index (KOSPI), and their performance is demonstrated. MAPEs of NN1 model show 0.427 and 0.627 in its learning and test, respectively. Based on the predicted KOSPI price, the paper proposes an alpha trading for trades in Exchange Traded Funds (ETFs) that fluctuate with the KOSPI200. The alpha trading is tested with data from 125 trade days, and its trade return of 7.16 ~ 15.29 % suggests that the proposed alpha trading is effective.

• The Korean Society of Law and Medicine
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• v.3 no.1
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• pp.224-247
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• 2002

• Journal of Navigation and Port Research
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• v.37 no.6
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• pp.617-625
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• 2013

"Sale and purchase brokers" are independent contractors who act as agents for principals intending to seller or buy ships in English Maritime Law. The essential feature is that legal position of shipbroker is largely one of agency. They can be obtained by a study of the Lloyd's Register or the equivalent registers of other Classification Societies, the American Bureau of Shipping and Korean Registers. Such a broker is of valuable assistance to the prospective seller or purchaser. And the broker's liability normally arises in the context of a contract. But, expressed in general terms, those contractual obligations are, in absence of contrary agreement, to act with reasonable care and skilled to obtain the cover requested by his client not to guarantee that such will be concluded and to ensure that the scope of the policy, its essential terms and relevant exclusions are made known to the insured. Acting in this professional capacity, the broker's liability are such that the facts upon which an action for breach of contract may be based may also found an action for the trot of negligence provided that there is shown to be the necessary 'assumption of responsibility' by the broker conveyed directly or indirectly to the insured. This thesis deals with liability of S&P Brokers, the legal problems of ship broking, commission, conflicts of interest and secret commissions in English Maritime Law and the Cases.

• The Journal of the Korea Contents Association
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• v.9 no.7
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• pp.325-332
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• 2009

The Korean real estate transaction makes a contract after the buying and selling person concerned agreed a business condition. As for vendee, business consists of the method that I issue documents before provision and money left over provision and the registration at the same time, and register a contract deposit in vendor. However, it latent for the real estate transaction various accidents such as fraud from a contract day to time to finish a real estate registration transfer, embezzlement, double contract by the breach of trust. Nevertheless vendee comes to match vendor by an asymmetry of the information one-sidedly to the front completing a registration transfer. I may prevent stellionate by the breach of trust of vendor if I use an ESCROW system in such a responsibility blank state.

• Journal of the Korean Data and Information Science Society
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• v.26 no.3
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• pp.561-568
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• 2015

In this study we predict apartment prices per unit in Daegu-Gyeongbuk areas by spatial lag and spatial error models, both of which belong to so-called spatial regression model. A spatial weight matrix is constructed by k-nearest neighbours method and then the models for the apartment prices in March, 2012 are fitted using the weight matrix. The apartment prices in March, 2013 are predicted by the fitted spatial regression models and then performances of two spatial regression models are compared by RMSE (root mean squared error), RRMSE (root relative mean squared error), MAE (mean absolute error).

• The Korean Journal of Financial Management
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• v.9 no.2
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• pp.243-270
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• 1992

본 연구에서는 우리나라 시장이 미국시장과 다른 점을 이용하여 시가와 종가를 비교하여 동시호가방식(同時呼價方式)과 접속매매방식(接續賣買方式)의 차이를 추정하는 것이 적절한 것인지와 거래가격에 대한 가격제한폭(價格制限幅)의 영향(影響)을 살펴보았다. 여기서는 가격제한폭의 영향을 고려하기 위해 수익률이 아니라 절대가격변동(絶對價格變動)을 대상으로 하였다. 결과는 다음과 같다. 1) 일별 그리고 하루중 가격변화의 분포는 정규분포라고 할 수 없다. 2) 종가가 아니라도 가격제한폭의 영향을 받으며 상한가가 하한가보다 2.5배 이상 주가 변동을 제약한다고 할 수 있다. 시간대로는 종가를 제외하고는 오전종가에서 그 영향이 가장 크다. 3) 동시호가와 접속매매 방식에서 분산과 자기상관계수의 일관성 있는 차이를 발견할 수 없었다. 따라서 시가의 분산이 종가의 분산보다 크다는 결과는 거래방식의 차이뿐만아니라 하루중 첫번째 거래와 마지막 거래라는 특정 시간대의 가격이기 때문에 갖는 특성도 중요하다. 4) 각 시간대 별 가격 변화가 동일한 분포를 갖는가를 비모수 검증 방법에 의해 검증했을 때 접속매매인 오전종가와 오후 접속매매 종가의 분포는 다르다고 할 수 없었으며 시가와 종가는 다른 시간대의 분포와 유의하게 달랐다. 5) 하루중 어느 시간대에 가격변화의 분산이 가장 큰가를 검증한 결과 오전시가에서 오전종가까지 시간에서 분산이 가장 켰다. 그 다음으로는 오후 접속매매 종가에서 오후동시호가 종가까지로 이 시간대는 거의 시간차가 없다는 점에서 놀라운 현상이라 하겠다. 6) 종가를 제외하고는 모든 시간대에서 가격반전현상이 있었다. 이러한 현상은 거래시간 동안은 시장에 새로운 정보가 계속 도달하지만 비거래시간에는 정보가 도달하지 않아 이전 정보에 대해 조정하게 되며 이 조정에서 관성을 갖는다고 할 수 있다.