• Korea Trade Review
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• v.45 no.6
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• pp.23-43
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• 2020

This study aims at analyzing the interactions between two of the most significant trade stakeholders in Korea, the Trade Ministry and the Legislature, using text network analysis. Tackling seven Action and Plan Reports for Requests from Parliamentary Inspection released by the National Assembly, this paper conducts a topic modelling analysis, particularly focusing on the reports for the three trade-related institutes: the MOTIE headquarter, Korea Trade Insurance Corporation, Korea Trade and Investment Promotion Agency. According to the analysis, such traditional topics of the MOTIE as enterprise, industry, business, management, development were frequently appeared in the reports. Trade-related topics including export, trade, commerce, investment, overseas, domestic, dispute, cooperation, efficiency, negotiation, service, promotion were repeatedly shown. Lastly, a case study on 2019 Parliamentary Inspection Report showed specific trade-related topics and relevant contents that raised issues in that year. This analysis implies that the text data driven from the Parliamentary Inspection Reports between the MOTIE and the National Assembly, can be established as so called 'trade policy information system' which are valuable not only for the two but also the rest of the trade stakeholders in Korea.

• Journal of Intelligence and Information Systems
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• v.27 no.1
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• pp.83-102
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• 2021

The government recently announced various policies for developing big-data and artificial intelligence fields to provide a great opportunity to the public with respect to disclosure of high-quality data within public institutions. KSURE(Korea Trade Insurance Corporation) is a major public institution for financial policy in Korea, and thus the company is strongly committed to backing export companies with various systems. Nevertheless, there are still fewer cases of realized business model based on big-data analyses. In this situation, this paper aims to develop a new business model which can be applied to an ex-ante prediction for the likelihood of the insurance accident of credit guarantee. We utilize internal data from KSURE which supports export companies in Korea and apply machine learning models. Then, we conduct performance comparison among the predictive models including Logistic Regression, Random Forest, XGBoost, LightGBM, and DNN(Deep Neural Network). For decades, many researchers have tried to find better models which can help to predict bankruptcy since the ex-ante prediction is crucial for corporate managers, investors, creditors, and other stakeholders. The development of the prediction for financial distress or bankruptcy was originated from Smith(1930), Fitzpatrick(1932), or Merwin(1942). One of the most famous models is the Altman's Z-score model(Altman, 1968) which was based on the multiple discriminant analysis. This model is widely used in both research and practice by this time. The author suggests the score model that utilizes five key financial ratios to predict the probability of bankruptcy in the next two years. Ohlson(1980) introduces logit model to complement some limitations of previous models. Furthermore, Elmer and Borowski(1988) develop and examine a rule-based, automated system which conducts the financial analysis of savings and loans. Since the 1980s, researchers in Korea have started to examine analyses on the prediction of financial distress or bankruptcy. Kim(1987) analyzes financial ratios and develops the prediction model. Also, Han et al.(1995, 1996, 1997, 2003, 2005, 2006) construct the prediction model using various techniques including artificial neural network. Yang(1996) introduces multiple discriminant analysis and logit model. Besides, Kim and Kim(2001) utilize artificial neural network techniques for ex-ante prediction of insolvent enterprises. After that, many scholars have been trying to predict financial distress or bankruptcy more precisely based on diverse models such as Random Forest or SVM. One major distinction of our research from the previous research is that we focus on examining the predicted probability of default for each sample case, not only on investigating the classification accuracy of each model for the entire sample. Most predictive models in this paper show that the level of the accuracy of classification is about 70% based on the entire sample. To be specific, LightGBM model shows the highest accuracy of 71.1% and Logit model indicates the lowest accuracy of 69%. However, we confirm that there are open to multiple interpretations. In the context of the business, we have to put more emphasis on efforts to minimize type 2 error which causes more harmful operating losses for the guaranty company. Thus, we also compare the classification accuracy by splitting predicted probability of the default into ten equal intervals. When we examine the classification accuracy for each interval, Logit model has the highest accuracy of 100% for 0~10% of the predicted probability of the default, however, Logit model has a relatively lower accuracy of 61.5% for 90~100% of the predicted probability of the default. On the other hand, Random Forest, XGBoost, LightGBM, and DNN indicate more desirable results since they indicate a higher level of accuracy for both 0~10% and 90~100% of the predicted probability of the default but have a lower level of accuracy around 50% of the predicted probability of the default. When it comes to the distribution of samples for each predicted probability of the default, both LightGBM and XGBoost models have a relatively large number of samples for both 0~10% and 90~100% of the predicted probability of the default. Although Random Forest model has an advantage with regard to the perspective of classification accuracy with small number of cases, LightGBM or XGBoost could become a more desirable model since they classify large number of cases into the two extreme intervals of the predicted probability of the default, even allowing for their relatively low classification accuracy. Considering the importance of type 2 error and total prediction accuracy, XGBoost and DNN show superior performance. Next, Random Forest and LightGBM show good results, but logistic regression shows the worst performance. However, each predictive model has a comparative advantage in terms of various evaluation standards. For instance, Random Forest model shows almost 100% accuracy for samples which are expected to have a high level of the probability of default. Collectively, we can construct more comprehensive ensemble models which contain multiple classification machine learning models and conduct majority voting for maximizing its overall performance.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.42
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• pp.133-160
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• 2009

In International trade the buyer and seller are normally separated from on another not only by distance but also by differences in language and culture. It is rarely possible for the performance of obligations to be simultaneous and the performance of contracts therefore calls for trust in a situation in which the parties are unlikely to feel able to trust each other unless they have a longstanding and successful relationship. Thus the seller under an international contract of sale will not wish to surrender documents of title to goods to the buyer until he has at least an assurance of payment, and no buyer will wish to pay for goods until he has received them. A gap of distrust thus exists which is often bridged by the undertaking of an intermediary known and trusted by both parties who will undertake on his own liability to pay the seller the contract price in return for the documents of title and then pass the documents to the buyer in return for the reimbursement. This is a common explanation of the theory behind the documentary letter of credit in which the undertaking of a bank of international repute serves as a "guarantee" to each party that the other will perform his obligations. The independence principle, also referred to as the "autonomy principle", is at the core of letter of credit or bank guarantee law. This principle provides that the letter of credit or bank guarantee is independent of the underlying contractual commitment - that is, the transaction that the credit is intented to secure - between the applicant and the beneficiary ; the credit is also independent of the relationship between the bank and its customer, the applicant. The most important exception to the independence principle is the doctrine of fraud in the transaction. A strict interpretation of the rule that the guarantee is independent of the underlying transaction would lead to the conclusion that neither fraud nor manifest abuse of rights by the beneficiary would constitute an objection to payment. There is one major problem related to "Independent guarantees", namely abusive or unfair callings. The beneficiary may make an unfair calling under the guarantee. The countermeasure of beneficiary's unfair calling divided three cases. First, advance countermeasure namely by contract. In other words, when the formation of the contract, the parties must insert the Force Majeure Clause, Arbitration Clause to Contract, and clear statement to the condition for demand calling. Second, post countermeasure namely by court. Many countries, including the United States, authorize the courts to grant an order enjoining the issuer from paying or enjoining the beneficiary from receiving payment under the guaranty letter. Third, Export Insurance. For example, the Export Credit Guarantees Department is prepared, subject to certain conditions, to cover the risk of unfair calling. Of course, KEIC in Korea is cover the risk of the all things for guarantees. On international projects, contractor performance is usually guaranteed by either a standby letters of credit or Independent guarantee. These instruments will be care the parties.

• International Commerce and Information Review
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• v.18 no.2
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• pp.107-127
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• 2016

There has not been enough distribution of documentary evidence of origin at the stage of domestic transaction yet due to the exporter bias of interest in utilizing FTA and shortage of attracting their issues, etc. although about more ten years has passed since Korea-Chile FTA was running. Furthermore, in case of issued and distributed documentary evidence of origin, the accuracy was doubt, so it contains various problems like errors in the certificate of origin issued by the final exporter. Accordingly, this study was to find out the limitations of 'declaration of origin third party confirmation system' operated in order to solve problems of lacking the management ability of origin place of the domestic supplier and improve the accuracy of certificate of origin (comprehensive), and to investigate a method of improvement. To achieve this, this study was to suggest the institutional complementary plans for distribution activation and error prevention on the declaration of origin and introduction plan of loss prevention plan due to the errors in the certificate of origin that the final exporter did not intend in the domestic areas in order to support the use of FTA smoothly for our enterprises.

• International Area Studies Review
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• v.13 no.2
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• pp.643-666
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• 2009

When it comes to current balance, both of Korea and China enjoy the trade surplus in goods while both countries suffer trade deficit in service. This facts demonstrate that two countries have comparative disadvantages in service industry. In order to identify the international competitiveness of trade in service between Korea and China, several indexes such as TSI, RSCA and IMS was calculated, using the IMF's balance of payments (BOP) statistics as proxy. The results of this analysis are as follows. Korea has a comparative advantage in four sectors (Transportation services, Financial services, Royalties & license fees and Personal cultural recreation), while China has a comparative advantage in five sectors (Travel, Communication services, Insurance services, Computer & information services and Other Business services). Construction services are indeterminate. However, the competitiveness of the two sectors-communication and computer & information-which China has a comparative advantage will be transferred to Korea if some effort to reinforce the competitiveness is added because the gap is being narrowed.

• Korea Trade Review
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• v.41 no.5
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• pp.163-185
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• 2016

The impact of global trade on developing countries is a critical subject. Especially in this country, under difficult conditions like political issues with North Korea, achieved a trade surplus of 90.2 billion dollars last year. While the service trade recorded a deficit of 15.7 billion dollars in the same period. According to WTO, services are either the result of a production activity that changes the conditions of the consuming units (transformation services), or facilitates the exchange of products or financial assets (margin services). To unify and compare with the trade and service statistics of countries, they assorted 12 classifications of services like Manufacturing service on physical inputs owned by others, Maintenance and repair service n.i.e., Transport, Travel, Construction, Insurance and pension service, Financial service, Charges for the use of intellectual property n.i.e., Telecommunications, Computer and information services, Other business services, Personal, cultural and recreational services, and Government goods and services n.i.e. Thus, this study is to estimate the international competitiveness of service trade between 2006 and 2015 in Republic of Korea, according to EBOPS 6th. As a result, total service volume of export and import has increased in the last 10 years. Its volume, recently, accounts for 22% of total goods trade. Also the Korean Government can make a supporting policy and decide a supporting business in terms of service trade. Finally, we can find a mutual connectivity within 12 service businesses and between Service and Goods.

• Journal of Korea Spatial Information System Society
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• v.7 no.1 s.13
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• pp.25-37
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• 2005

Recently, with the development of wireless communications and mobile computing, interest about mobile computing is rising. Mobile computing can be regarded as an environment where a user carries mobile devices, such as a PDA or a notebook, and shares resources with a server computer via wireless communications. A mobile database refers to a database which is used in these mobile devices. The mobile database can be used in the fields of insurance business, banking business, medical treatment, and so on. Especially, LBS(Location Based Service) which utilizes location information of users becomes an essential field of mobile computing. In order to support LBS in the mobile environment, there must be an Embedded Spatial MMDBMS(Main-Memory Database Management System) that can efficiently manage large spatial data in spatial mobile devices. Therefore, in this paper, we designed and implemented the Embedded Spatial MMDBMS, extended from the HSQLDB which is an existing MMDBMS for PC, to manage spatial data efficiently in spatial mobile devices. The Embedded Spatial MMDBMS adopted the spatial data model proposed by ISO(International Organization for Standardization), provided the arithmetic coding method that is suitable for spatial data, and supported the efficient spatial index which uses the MBR compression and hashing method suitable for spatial mobile devices. In addition, the system offered the spatial data display capability in low-performance processors of spatial mobile devices and supported the data caching and synchronization capability for performance improvement of spatial data import/export between the Embedded Spatial MMDBMS and the GIS server.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.18
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• pp.27-62
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• 2002

The international sale contract is the central contracts in export-import transactions. A good sale contract or set of general conditions of sale will cover all the principal elements of the transaction, so that uncertainties are avoided. The parties' respective duties as concern the payment mechanism, transport contract and insurance responsibilities, inter alia, will all be clearly detailed in the contract. The following key clauses should be included in international contracts of sale and general conditions of sale: ${\bullet}$ preamble ${\bullet}$ identification of parties ${\bullet}$ description of goods ${\bullet}$ price and payment conditions ${\bullet}$ delivery periods and conditions ${\bullet}$ inspection of the goods - obligations and limitations ${\bullet}$ quantity or quality variations in the products delivered ${\bullet}$ reservation of title and passing of property rights ${\bullet}$ transfer of risk - how accomplished ${\bullet}$ seller's warranties and buyer's complaints ${\bullet}$ assignment of rights ${\bullet}$ force majeure clause and hardship clause ${\bullet}$ requirement that amendments and modifications be in writing ${\bullet}$ choice of law ${\bullet}$ choice of dispute resolution mechanism Under most systems of law, a party can be excused from a failure to perform a contract obligation which is caused by the intervention of a totally unforeseeable event, such as the outbreak of war, or an act of God such as an earthquake or hurricane. Under the American commercial code (UCC) the standard for this relief is one of commercial impracticability. In contrast, many civil law jurisdictions apply the term force majeure to this problem. Under CISG, the standard is based on the concept of impediments to performance. Because of the differences between these standards, parties might be well advised to draft their own force majeure, hardship, or excusable delays clause. The ICC publication, "Force Majeure and Hardship" provides a sample force majeure clause which can be incorporated by reference, as well as a hardship clause which must be expressly integrated in the contract. In addition, the ICC Model provides a similar, somewhat more concise formulation of a force majeure clause. When the seller wishes to devise his own excusable delays clause, he will seek to anticipate in its provision such potential difficulties as those related to obtaining government authorisations, changes in customs duties or regulations, drastic fluctuations in labour, materials, energy, or transportation prices, etc.

• Korean Journal of Clinical Laboratory Science
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• v.50 no.4
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• pp.511-524
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• 2018

The purpose of this study is to provide policy recommendations for manpower planning by forecasting the supply and demand of Medical Technologists. Supply was estimated using an in-and-out movement method with a demographic method based on a baseline projection model. Demand was projected according to a demand-based method using the number of clinico-pathologic examinations taken for Medical Technologists. Over- or undersupply of Medical Technologists will depend on the productivity scenario and assumptions and ultimately on governmental policy direction. In other words, whether the production of Medical Technologists is higher or lower than the current level depends on the government policy to consider insurance finances. In this study, we assessed 'productivity scenario 3' based on the productivity as of 2012, when the government's policy direction was not considered. Based on the demand scenario using the ARIMA model, the supply of Medical Technologists is expected to be excessive. This oversupply accounts for less than 10% of the total and therefore should not be a big problem. However, given that the employment rate of Medical Technologists is 60%, it is necessary to consider policies to utilize the unemployed. These measures should expand the employment opportunities for the unemployed. To this end, it is necessary to strengthen the functions of laboratories in the public health center, to increase the quota of Medical Technologists, to assure their status, to establish a permanent inspection system for outpatient patients, and to expand the export of Medical Technologists overseas.

• The Korean Journal of Air & Space Law and Policy
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• v.28 no.1
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• pp.3-54
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• 2013

Nowadays, major advanced countries in aviation technology are putting their effort to develop commercial and civil Unmanned Aircraft System(UAS) due to its highly promising market demand in the future. The market scale of commercial and civil UAS is expected to increase up to approximately 8.8 billon U.S. dollars by the year 2020. The usage of commercial and civil UAS covers various areas such as remote sensing, relaying communications, pollution monitoring, fire detection, aerial reconnaissance and photography, coastline monitoring, traffic monitoring and control, disaster control, search and rescue, etc. With the introduction of UAS, changes need to be made on current Air Traffic Management Systems which are focused mainly manned aircrafts to support the operation of UAS. Accordingly, the legislation for the UAS operation should be followed. Currently, ICAO's Unmanned Aircraft System Study Group(UASSG) is leading the standardization process of legislation for UAS operation internationally. However, some advanced countries such as United States, United Kingdom, Australia have adopted its own legislation. Among these countries, United States is most forth going with President Obama signing a bill to integrate UAS into U.S. national airspace by 2015. In case of Korea, legislation for the unmanned aircraft system is just in the beginning stage. There are no regulations regarding the operation of unmanned aircraft in Korea's domestic aviation law except some clauses regarding definition and permission of the unmanned aircraft flight. However, the unmanned aircrafts are currently being used in military and under development for commercial use. In addition, the Ministry of Land, Infrastructure and Transport has a ambitious plan to develop commercial and civil UAS as Korea's most competitive area in aircraft production and export. Thus, Korea is in need of the legislation for the UAS operation domestically. In this regards, I personally think that Korea's domestic legislation for UAS operation will be enacted focusing on following 12 areas : (1)use of airspace, (2)licenses of personnel, (3)certification of airworthiness, (4)definition, (5)classification, (6)equipments and documents, (7)communication, (8)rules of air, (9)training, (10)security, (11)insurance, (12)others. Im parallel with enacting domestic legislation, korea should contribute to the development of international standards for UAS operation by actively participating ICAO's UASSG.