• The Journal of the Korea Contents Association
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• v.17 no.10
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• pp.65-71
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• 2017

It is true that there is a possibility of distortion in the statistical surveys or actual surveys depending on which investigator, what purpose, and how research method. Even statistical results are more likely to be 'lying', and statistics on crime or delinquent are sometimes referred to as 'whopper'. There are many reasons for not trusting statistics on crime or delinquent, but one of the main causes is the existence of a hidden crime or an unreported crime. In order to overcome these hidden crime problems, victim surveys or self-report surveys are being used. However, this method also has the problem of underreporting or overreporting depending on the type of crime. Because investigations into crime, delinquency, and deviant behavior are very sensitive, the subjects have a psychological burden. A randomized response model has been developed and used in the field of statistics as a way to induce a true answer to the sensitive content which is burdensome to reveal the experiences of the survey subjects. This technique is a very useful way to solve the problems of victim surveys or self-report surveys. Nevertheless, there are very few cases in the field of criminology in Korea. Therefore, in order to examine the applicability of the randomized response model in the field of criminology, this study used the randomized response model to actually measure the content of prostitution for college students and the effectiveness of the randomized response model was confirmed.

• 지역과문화
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• v.8 no.3
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• pp.1-25
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• 2021

Nosong-dong is used to be center of the administration, education and transportation in Jeonju. It has ironically been the location of the city's prostitution quarter 'called Seonmichon'. This place is recently selected as an area of urban regeneration by Jeonju. The project has involved numerous programs which gradually transfer this place for the women's rights and arts. This paper focuses on exploring the socio-cultural meanings of a community museum, an archive for gender equality, and an exhibition site for local artists. The Seonmichon quarter has long been stigmatized as an area of ill repute and regarded with contempt by the surrounding neighborhood. It is space where polarized interests are entangled. City authority has tried to reflect this by presenting a variety of perspectives on the Seonmichon district. An initiative of the community museum has been its hosting of several exhibitions around the themes of women's rights and community arts. The most remarkable aspect of the exhibitions that have taken place in the heart of the Seonmichon district has been the active participation of local community residents as a catalyst for progressive social change. The paper's overall purpose is to provide an introduction and analyze the process of development of the exhibition initiative, and further examine the social role and meaning of the community museum in Nosong-dong, as well as its future tasks and directions.

• RED RIBBON
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• s.70
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• pp.26-27
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• 2006

한국의 성산업에 외국에서 이주해온 여성들이 유입되기 시작한 것은 1990년대 중반부터이다. ‘한국외국인관광시설업협회’는 1996년부터 예술흥행사증 발급을 편법적으로 활용하여 필리핀 여성들과 구 소련계 여성들을 성매매 목적으로 도입하였다. 그 후 한국정부는 외국인 공연허가제 규제를 완화의 일환으로 폐지하고, 외국인 연예인을 수입하는 절차를 대폭 간소화하여 인력수입업자들은 일정한 시설요건만 갖추면 쉽게 근로자파견사업허가를 받도록 하였다. 즉, 국내에서 일하는 외국인 연예인은 국내공연 기획사에 고용된 근로자로서 공연업소에 파견되는 근로자로 자리매김한 것이다. 그러나 그들은 실상 공연을 하는 것보다 성적 서비스를 하도록 강요당하며 인권의 사각지대에 놓여 있다.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.513-515
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• 2022

본 연구는 범죄를 발생시키는데 관련된 여러가지 요인들을 기반으로 범죄 예측 모델을 생성하고 설명 가능 인공지능 기술을 적용하여 인천 광역시를 대상으로 범죄 발생에 영향을 미치는 요인들을 분석하였다. 범죄 예측 모델 생성을 위해 XG Boost 알고리즘을 적용하였으며, 설명 가능 인공지능 기술로는 Shapley Additive exPlanations (SHAP)을 사용하였다. 기존 관련 사례들을 참고하여 범죄 예측에 사용된 변수를 선정하였고 변수에 대한 데이터는 공공 데이터를 수집하였다. 실험 결과 성매매단속 현황과 청소년 실종 가출 신고 현황이 범죄 발생에 큰 영향을 미치는 주요 요인으로 나타났다. 제안하는 모델은 범죄 발생 지역, 요인들을 미리 예측하여 제시함으로써 범죄 예방에 사용되는 인력자원, 물적자원 등을 용이하게 쓸 수 있도록 활용할 수 있다.

• Journal of Intelligence and Information Systems
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• v.16 no.2
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• pp.19-32
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• 2010

Volatility plays a central role in both academic and practical applications, especially in pricing financial derivative products and trading volatility strategies. This study presents a novel mechanism based on generalized autoregressive conditional heteroskedasticity (GARCH) models that is able to enhance the performance of intelligent volatility trading systems by predicting Korean stock market volatility more accurately. In particular, we embedded the concept of the volatility asymmetry documented widely in the literature into our model. The newly developed Korean stock market volatility index of KOSPI 200, VKOSPI, is used as a volatility proxy. It is the price of a linear portfolio of the KOSPI 200 index options and measures the effect of the expectations of dealers and option traders on stock market volatility for 30 calendar days. The KOSPI 200 index options market started in 1997 and has become the most actively traded market in the world. Its trading volume is more than 10 million contracts a day and records the highest of all the stock index option markets. Therefore, analyzing the VKOSPI has great importance in understanding volatility inherent in option prices and can afford some trading ideas for futures and option dealers. Use of the VKOSPI as volatility proxy avoids statistical estimation problems associated with other measures of volatility since the VKOSPI is model-free expected volatility of market participants calculated directly from the transacted option prices. This study estimates the symmetric and asymmetric GARCH models for the KOSPI 200 index from January 2003 to December 2006 by the maximum likelihood procedure. Asymmetric GARCH models include GJR-GARCH model of Glosten, Jagannathan and Runke, exponential GARCH model of Nelson and power autoregressive conditional heteroskedasticity (ARCH) of Ding, Granger and Engle. Symmetric GARCH model indicates basic GARCH (1, 1). Tomorrow's forecasted value and change direction of stock market volatility are obtained by recursive GARCH specifications from January 2007 to December 2009 and are compared with the VKOSPI. Empirical results indicate that negative unanticipated returns increase volatility more than positive return shocks of equal magnitude decrease volatility, indicating the existence of volatility asymmetry in the Korean stock market. The point value and change direction of tomorrow VKOSPI are estimated and forecasted by GARCH models. Volatility trading system is developed using the forecasted change direction of the VKOSPI, that is, if tomorrow VKOSPI is expected to rise, a long straddle or strangle position is established. A short straddle or strangle position is taken if VKOSPI is expected to fall tomorrow. Total profit is calculated as the cumulative sum of the VKOSPI percentage change. If forecasted direction is correct, the absolute value of the VKOSPI percentage changes is added to trading profit. It is subtracted from the trading profit if forecasted direction is not correct. For the in-sample period, the power ARCH model best fits in a statistical metric, Mean Squared Prediction Error (MSPE), and the exponential GARCH model shows the highest Mean Correct Prediction (MCP). The power ARCH model best fits also for the out-of-sample period and provides the highest probability for the VKOSPI change direction tomorrow. Generally, the power ARCH model shows the best fit for the VKOSPI. All the GARCH models provide trading profits for volatility trading system and the exponential GARCH model shows the best performance, annual profit of 197.56%, during the in-sample period. The GARCH models present trading profits during the out-of-sample period except for the exponential GARCH model. During the out-of-sample period, the power ARCH model shows the largest annual trading profit of 38%. The volatility clustering and asymmetry found in this research are the reflection of volatility non-linearity. This further suggests that combining the asymmetric GARCH models and artificial neural networks can significantly enhance the performance of the suggested volatility trading system, since artificial neural networks have been shown to effectively model nonlinear relationships.

• Journal of Intelligence and Information Systems
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• v.17 no.3
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• pp.187-201
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• 2011

KOSPI200 index is the Korean stock price index consisting of actively traded 200 stocks in the Korean stock market. Its base value of 100 was set on January 3, 1990. The Korea Exchange (KRX) developed derivatives markets on the KOSPI200 index. KOSPI200 index futures market, introduced in 1996, has become one of the most actively traded indexes markets in the world. Traders can make profit by entering a long position on the KOSPI200 index futures contract if the KOSPI200 index will rise in the future. Likewise, they can make profit by entering a short position if the KOSPI200 index will decline in the future. Basically, KOSPI200 index futures trading is a short-term zero-sum game and therefore most futures traders are using technical indicators. Advanced traders make stable profits by using system trading technique, also known as algorithm trading. Algorithm trading uses computer programs for receiving real-time stock market data, analyzing stock price movements with various technical indicators and automatically entering trading orders such as timing, price or quantity of the order without any human intervention. Recent studies have shown the usefulness of artificial intelligent systems in forecasting stock prices or investment risk. KOSPI200 index data is numerical time-series data which is a sequence of data points measured at successive uniform time intervals such as minute, day, week or month. KOSPI200 index futures traders use technical analysis to find out some patterns on the time-series chart. Although there are many technical indicators, their results indicate the market states among bull, bear and flat. Most strategies based on technical analysis are divided into trend following strategy and non-trend following strategy. Both strategies decide the market states based on the patterns of the KOSPI200 index time-series data. This goes well with Markov model (MM). Everybody knows that the next price is upper or lower than the last price or similar to the last price, and knows that the next price is influenced by the last price. However, nobody knows the exact status of the next price whether it goes up or down or flat. So, hidden Markov model (HMM) is better fitted than MM. HMM is divided into discrete HMM (DHMM) and continuous HMM (CHMM). The only difference between DHMM and CHMM is in their representation of state probabilities. DHMM uses discrete probability density function and CHMM uses continuous probability density function such as Gaussian Mixture Model. KOSPI200 index values are real number and these follow a continuous probability density function, so CHMM is proper than DHMM for the KOSPI200 index. In this paper, we present an artificial intelligent trading system based on CHMM for the KOSPI200 index futures system traders. Traders have experienced on technical trading for the KOSPI200 index futures market ever since the introduction of the KOSPI200 index futures market. They have applied many strategies to make profit in trading the KOSPI200 index futures. Some strategies are based on technical indicators such as moving averages or stochastics, and others are based on candlestick patterns such as three outside up, three outside down, harami or doji star. We show a trading system of moving average cross strategy based on CHMM, and we compare it to a traditional algorithmic trading system. We set the parameter values of moving averages at common values used by market practitioners. Empirical results are presented to compare the simulation performance with the traditional algorithmic trading system using long-term daily KOSPI200 index data of more than 20 years. Our suggested trading system shows higher trading performance than naive system trading.

• Korean journal of communication and information
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• v.84
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• pp.99-123
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• 2017

We analyzed the movie (2016/ directed by J-yong E), which is entangled in politics of gender, age, class, or sexuality, naming as "spaces of Others", using the concepts of heterotopia of Foucault. Foucault addressed three types of spaces: the realistic space where we currently live, the unrealistic and non-existent utopia, and heterotopia, which functions antithetically to reality. Thus, Foucault's heterotopia can be considered to indicate "heterogeneous spaces" in reality. The Bacchus Lady revolves a 65-year old prostitute So-Young, sells her body to old men at the parks in downtown of Seoul. Old prostitute on streets are often referred as "Bacchus Ladies", because suggest the popular energy drink a bottle of Bacchus while selling sex. The movie represents some minorities such as transgender, Tina and madam of the club, G-spot, migrant women like Camila and Aindu, and a amputee, Dohoon. Through these people's bodies, the problems such as imperials, nations, ethnics, gender, age, class are entangled in the movie. The politics of these points work and construct heterotopias in four spaces of Others. First, the spaces which ageing and death are intersected. Second, the spaces of So-Young for prostitutes, Third, the spaces of So-Young's mothering: she adopted her baby to American when he was a infant, so she have felt guilty. Fourth, the spaces for So-young's quasi-family with Minho, a Kopian boy who was abandoned by Korean father, Dohoon, who is a poor amputee, and Tina, who is a transgender singer. Fifth, the spaces of speech of So-Young as the subaltern: the subaltern does not have the language to express its own experiences. In order to listen to the words of subaltern, we must do the task of measuring the silence. This cinematic representation of So-young as the subaltern makes her speak about her situation. Finally, the spaces constructed by the movie can be connected 'heterotopia of crisis', 'heterotopia of deviation' and 'heterotopia of fantasy'. The spaces of the movie represents lives of Others, nevertheless, So-Young's Otherness through spaces of heterotopia was transformed to an absolute Other by patriarchal traits of cinematic narrative.

• Journal of Digital Forensics
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• v.12 no.3
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• pp.1-8
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• 2018

A random chat application is a type of social dating application that helps people find a lover or spouse by randomly connecting and providing services such as text, voice and video chat. Recently, there has been globally a rapid increase in its use due to the fact that it provides people to quick and convenient encounters at low cost. However, it is used as one of method to prostitute or to trade drugs and become a cause of violent crimes due to various criminal occurring after actual meeting between app users. For this reason, a random chat application is likely to provide proof of prostitution or drug trade and clues to arrest rape, kidnapping and murder suspects. Thus, it is necessary to analyse random chat applications from the viewpoint of digital forensics investigation, but there is no related research at all. Therefore, in this paper, we analyzed artifacts of 6 Korea random chat application's user behaviors; Ranchat, AngTalk, SsumgThing, DaTalk, EveryTalk and Sail. As a result, we found that it is remain on mobile device that time and contents of message transmission/reception, sender/receiver, friend profile and user account creation time when user is using the applications.

• Korean Journal of Forensic Psychology
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• v.12 no.1
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• pp.75-97
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• 2021

This study investigated whether judgments of sexual violence involving juvenile victims vary by history of victim's juvenile prostitution, victim's behavior conforming to stereotypes of an "ideal" victim, and relationships between victim and perpetrator. The study also examined the effects of participants' level of authoritarianism and rape myth acceptance on their judgments of sexual violence. A total of 335 participants(170 females, 165 males) in their 20s to 50s assessed the degree of victim blaming and perpetrator sentencing. This study examined the effects of participants' gender and age on the judgments of victim blaming and perpetrator sentencing, and the mediation effects of authoritarianism and rape myth acceptance. As a result, participants blamed the victim more and imposed a lighter sentence on the perpetrator when the juvenile victim did not conform to the image of an "ideal" victim of sexual violence as opposed to a "typical victim". They also blamed the victim more when the victim and the perpetrator met through a chat application than when the victim and the perpetrator had known each other. Male participants as opposed to female participants blamed the victim more, punished the perpetrator more lightly, and exhibited a higher level of authoritarianism and rape myth acceptance. The older the participants were, the more they blamed the victim and the higher they demonstrated rape myth acceptance. The effect of the participants' gender on the judgment of the perpetrator punishment was mediated by rape myth acceptance, and the effect of the participants' gender and age on the victim blaming was mediated by authoritarianism and rape myth acceptance.

• Research in Community and Public Health Nursing
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• v.16 no.2
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• pp.167-176
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• 2005

Purpose: The purpose of this study was to identify factors to predict of condom use for the prevention of sexually transmitted diseases (STDs) among sex workers in a Korean community. The theoretical ground of this study was the Interaction Model of Client Health Behavior. Method: A descriptive, cross sectional and retrospective research design was employed in this study. A total of 100 sex workers who take a clinical check-up on STDs regularly at W Public Health Center were recruited by convenient sampling, and with consent to participate in this study. All of the measures were piloted, and the reliability of each scale ranged from 0.7 to 0.9. Data were analyzed using discriminating function analysis with SPSS-PC. Results: Five independent measures (partner preference for using condoms, subjects desire to prevent STD, age, type of relationship and sexual self-determination) contributed significantly to the best discriminating function. The discriminating function analysis resulted in correct classification of 83.1% of the respondents into their corresponding groups. Conclusion: Condoms are a main means of STDs prevention. Risk-reduction interventions that enhance communication skills and intrinsic motivation will be effective in increasing condom use to prevent STDs among sex workers.