• Journal of Arbitration Studies
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• v.26 no.4
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• pp.111-128
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• 2016

Trade between nations has been considered as exchange for material things. According to recent changes in the paradigm of global trade, trade is shifting focus on the exchange of an immaterial being. Among them, the service sector is growing fast and the health service has shown exceptional growth as the healthcare market is consistently expanding. It is also part of the global service targeting people all around the world. People visiting other countries for medical service tend to spend more money and stay longer than a traveler. For these reasons, global medical service is in the spotlight as a promising and higher value-added business. The global medical service industry has been developed around Asia, specifically Thailand, Singapore, India, etc. Compared to them, Korea has come late into the market of global healthcare and the Korean government is striving to attract foreign patients. Nevertheless, there is a lack of effort to make foreign patients visiting Korea revisit Korea. Regarding foreign patients' medical disputes, these are not yet a problem officially; however, the government cannot leave the matter as it is. Medical dispute related with foreign patients is a highly complex issue due to different languages, nationalities, cultures, etc. Particularly, Korea's medical tourism is developed with Chinese visiting Korea for plastic surgery and cosmetic procedure. Thus, the Korean medical tourism market can be crowded with a lot of minor medical agencies, so-called brokers, getting foreign patients connected to the medical institutions. Consequently, Korea has received a large number of complaints and dissatisfaction. No one can predict and know what's supposed to happen in the future. Efforts of the Korean government and medical institute attracting foreign patients could be in vain. In order to take a step forward, this paper will do research on present conditions and look for strategies of improving this industry, focusing on the part of medical agency and contributing to the improvement of the Korean medical tourism industry.

• The Journal of Information Technology
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• v.3 no.1
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• pp.73-88
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• 2000

Dramatic changes are beginning to occur in plastic card technologies today in the fields of banking, health care, id-cards and more. Advanced card technologies such as IC-card are playing an increasingly important role in new and innovation system. The merit of IC-card are more capacity, more secure, more reliable, quick and easy to update, secure offline processing, enabling technology etc than magnetic stripe card. And so many countries began using experiment of IC- card and our country began October 13 in Cheju island. Then there are three types using-experiment (K-cash, VISA-cash, MONDEX) in Korea. There are some problems such as standards, widely using, high cost, double investment etc. I think that important things in IC-card using is an international- standardizations and issuing corporation.

• Journal of the Korean Society of Costume
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• v.62 no.4
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• pp.195-206
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• 2012

Today, people are obsessed with fashion, makeup, hair care, weight control, and plastic surgery. In order to be satisfied with their appearance and attract attention, they invest so much time and money. The core values of many people are influenced heavily by materialism and appearance. Belly dancing is effective not only in just weight loss, but it also improves the health and corrects body postures like pelvis correction, and it also gives the dancers the pleasure of dancing to exotic music. A growing number of women in their 40s or older and senior citizens have become maniacs of belly dancing. The studies suggest that the participation in belly dancing helps increase life satisfaction and self-respect of the middle aged who often suffer from depression. Belly dancing has a strong effect in the life style of the middle-aged women. The costume and accessories necessary for belly dancing class help the participants) focus on the dance. These costumes and accessories reflect the desire of the wearer to be recognized in society. It is well shown in belly dancing that "fashion and beauty related services and products are used as an indicator to tell social status and position of the wearer as external elements like clothes, accessories, and physical appearance and have a highly important effect on interactions among people in society as a means of expressing oneself". In this respect, this study aims to examine middle-aged women's involvement in fashion and beauty depending on their participation in belly dancing.

• Proceedings of the KWS Conference
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• 2009.11a
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• pp.97-97
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• 2009

The use of thin plate increases due to the need for light weight in large ship. Thin plate is easily distorted and has residual stress by welding heat. Therefore, the thin plate should be carefully joined to minimize the welding deformation which costs time and money for repair. For one effort to reduce welding deformation, it is very useful to predict welding deformation before welding execution. There are two methods to analyze welding deformation. One is simple linear analysis. The other is nonlinear analysis. The simple linear analysis is elastic analysis using the equivalent load method or inherent strain method from welding experiments. The nonlinear analysis is thermo-elastic analysis which gives consideration to the nonlinearity of material dependent on temperature and time, welding current, voltage, speed, sequence and constraint. In this study, the welding deformation is analyzed by using thermo-elastic method for PCTC(Pure Car and Truck Carrier) which carries cars and trucks. PCTC uses thin plates of 6mm thickness which is susceptible to welding heat. The analysis dimension is 19,200mm(length) * 13,825mm(width) * 376mm(height). MARC and MENTAT are used as pre and post processor and solver. The boundary conditions are based on the real situation in shipyard. The simulations contain convection and gravity. The material of the thin block is mild steel with $235N/mm^2$ yield strength. Its nonlinearity of conductivity, specific heat, Young's modulus and yield strength is applied in simulations. Welding is done in two pass. First pass lasts 2,100 second, then it rests for 900 second, then second pass lasts 2,100 second and then it rests for 20,000 second. The displacement at 0 sec is caused by its own weight. It is maximum 19mm at the free side. The welding line expands, shrinks during welding and finally experiences shrinkage. It results in angular distortion of thin block. Final maximum displacement, 17mm occurs around welding line. The maximum residual stress happens at the welding line, where the stress is above the yield strength. Also, the maximum equivalent plastic strain occurs at the welding line. The plastic strain of first pass is more than that of second pass. The flatness of plate in longitudinal direction is calculated in parallel with the direction of girder and compared with deformation standard of ${\pm}15mm$. Calculated value is within the standard range. The flatness of plate in transverse direction is calculated in perpendicular to the direction of girder and compared with deformation standard of ${\pm}6mm$. It satisfies the standard. Buckle of plate is calculated between each longitudinal and compared with the deformation standard. All buckle value is within the standard range of ${\pm}6mm$.

• Journal of Intelligence and Information Systems
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• v.21 no.2
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• pp.69-92
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• 2015

The explosion of social media data has led to apply text-mining techniques to analyze big social media data in a more rigorous manner. Even if social media text analysis algorithms were improved, previous approaches to social media text analysis have some limitations. In the field of sentiment analysis of social media written in Korean, there are two typical approaches. One is the linguistic approach using machine learning, which is the most common approach. Some studies have been conducted by adding grammatical factors to feature sets for training classification model. The other approach adopts the semantic analysis method to sentiment analysis, but this approach is mainly applied to English texts. To overcome these limitations, this study applies the Word2Vec algorithm which is an extension of the neural network algorithms to deal with more extensive semantic features that were underestimated in existing sentiment analysis. The result from adopting the Word2Vec algorithm is compared to the result from co-occurrence analysis to identify the difference between two approaches. The results show that the distribution related word extracted by Word2Vec algorithm in that the words represent some emotion about the keyword used are three times more than extracted by co-occurrence analysis. The reason of the difference between two results comes from Word2Vec's semantic features vectorization. Therefore, it is possible to say that Word2Vec algorithm is able to catch the hidden related words which have not been found in traditional analysis. In addition, Part Of Speech (POS) tagging for Korean is used to detect adjective as "emotional word" in Korean. In addition, the emotion words extracted from the text are converted into word vector by the Word2Vec algorithm to find related words. Among these related words, noun words are selected because each word of them would have causal relationship with "emotional word" in the sentence. The process of extracting these trigger factor of emotional word is named "Emotion Trigger" in this study. As a case study, the datasets used in the study are collected by searching using three keywords: professor, prosecutor, and doctor in that these keywords contain rich public emotion and opinion. Advanced data collecting was conducted to select secondary keywords for data gathering. The secondary keywords for each keyword used to gather the data to be used in actual analysis are followed: Professor (sexual assault, misappropriation of research money, recruitment irregularities, polifessor), Doctor (Shin hae-chul sky hospital, drinking and plastic surgery, rebate) Prosecutor (lewd behavior, sponsor). The size of the text data is about to 100,000(Professor: 25720, Doctor: 35110, Prosecutor: 43225) and the data are gathered from news, blog, and twitter to reflect various level of public emotion into text data analysis. As a visualization method, Gephi (http://gephi.github.io) was used and every program used in text processing and analysis are java coding. The contributions of this study are as follows: First, different approaches for sentiment analysis are integrated to overcome the limitations of existing approaches. Secondly, finding Emotion Trigger can detect the hidden connections to public emotion which existing method cannot detect. Finally, the approach used in this study could be generalized regardless of types of text data. The limitation of this study is that it is hard to say the word extracted by Emotion Trigger processing has significantly causal relationship with emotional word in a sentence. The future study will be conducted to clarify the causal relationship between emotional words and the words extracted by Emotion Trigger by comparing with the relationships manually tagged. Furthermore, the text data used in Emotion Trigger are twitter, so the data have a number of distinct features which we did not deal with in this study. These features will be considered in further study.