• Journal of the Korea Institute of Information and Communication Engineering
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• v.26 no.11
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• pp.1599-1607
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• 2022

The data mainly used for the model are as follows: the personal information, the information of insurance product, etc. With the data, we suggest three types of models: content-based filtering model, collaborative filtering model and classification models-based model. The content-based filtering model finds the cosine of the angle between the users and items, and recommends items based on the cosine similarity; however, before finding the cosine similarity, we divide into several groups by their features. Segmentation is executed by K-means clustering algorithm and manually operated algorithm. The collaborative filtering model uses interactions that users have with items. The classification models-based model uses decision tree and random forest classifier to recommend items. According to the results of the research, the contents-based filtering model provides the best result. Since the model recommends the item based on the demographic and user features, it indicates that demographic and user features are keys to offer more appropriate items.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.18 no.6
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• pp.596-608
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• 2017

In 2002, the government arranged an institutional strategy to make it possible for a consumers to make a claim for damages caused by product defects against a business that produces and sells a product by enforcing the Product Liability Law(hereinafter referred to as 'PL'). On the other hand, due to the recent humidifier sterilizer accident, approximately 12 cases of related bills, such as a revised bill for the product liability law, have been proposed to the National Assembly at present in an effort to introduce the group action system and punitive compensation system for the purpose of the strengthening of the corporate product liability, and consumer damage relief. Ironically, as much as 62.6% of small & medium businesses, which are actual interested parties to this bill, are unaware of this. Many companies are responding to PL with the rationalization of document preparation & storage, clarification of responsibility relations with related business operators, and PL insurance policy purchase, or securing compensation funds as a means of Product Liability Defense(PLD), but the methods of preparation such as this leave much room for limits on the considerations of product design and product safety. This paper presents the individual management system model with more focus on product safety by looking into the clear concept of PL and the countermeasures against it, grasping the relevance between the PL system and individual management system, and integrating the PL response system in preparation for the PL. It is hoped that the result of this research objective will be evaluated as a rational countermeasure for small & medium businesses to respond effectively to the PL.

• International journal of advanced smart convergence
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• v.11 no.1
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• pp.111-116
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• 2022

After COVID-19, the number of people with sleep disorders around the world is increasing. In particular, in the flow of the 4th industrial revolution, the differentiation of types and characteristics of the sleep industry is accelerating. Therefore, in this study, the characteristics of each type of sleep-related industry were reclassified from an industrial point of view, and based on this, an attempt was made to review the classification system that can help companies develop sleep products and improve related national systems. Based on the 10th standard industry classification, we compared input cost, value, and usability and analyzed common characteristics, treatments, and preventive effects based on this. A comprehensive taxonomy using matrix analysis was reviewed. As a result, in terms of cost (A), the most common sleeping products are general mattresses and general bedding. It is an IOT device (auxiliary device), and the value aspect (B, B/D) included sleep cafe, bedding rental and management service, and sleep consulting. In terms of utility (A/B), a total of 6 product groups including sleep aids (health functional foods) belong to this category, and in terms of treatment (A/C), a total of 3 product groups including sleep clinics (medical services) belong to this category. As for the product group (A/D) with both properties, it was found that non-insurance sleep treatment medical devices, sleep-related over-the-counter drugs, and some sleep monitoring applications belong to this category. Ultimately, it was found that the sleep industry classification enables the most active product development and composition according to the relative relationship between cost and utility, and treatment and utility. appeared to be necessary.

• The Korean Journal of Applied Statistics
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• v.19 no.3
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• pp.461-479
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• 2006

This paper derives joint and conditional Lagrange multiplier tests based on Double-Length Artificial Regression(DLR) for testing functional form and/or the presence of individual(time) effect in a panel regression model. Small sample properties of these tests are assessed by Monte Carlo study, and comparisons are made with LM tests based on Outer Product Gradient(OPG). The results show that the proposed DLR based LM tests have the most appropriate finite sample performance.

• Journal of the Korean Society of Costume
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• v.64 no.3
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• pp.47-61
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• 2014

Dongdaemun Fashion District has been successfully positioned as the main hub for fashion product distribution in Korea since 1960 thanks to its unique and successful fashion merchandising system. This system enables the distributors to respond quickly to consumer need and inexpensive price. However, at the present time, Dongdaemun Fashion District has been facing serious challenges from new types of retail stores such as fast fashion brands like ZARA and online shopping malls. To achieve this result, statistical analysis was performed using data from 68 employees of wholesalers in the Dongdaemun Fashion District. They were required to answer questions regarding the marketing system supporting program, amenities like restrooms, and traffic congestion. For the case study, C.I.S, a successful global wholesale system in Italy, was selected. C.I.S has 130 offices offering professional services in the field of trade, legal and tax issues, and insurance. This study suggests cooperation among related wholesalers in order to make an area management plan in the Dongdaemun Fashion District. Also, for the wholesalers to build up product information system and infrastructure for the Global marketing strategy.

• Korea Trade Review
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• v.47 no.2
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• pp.69-88
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• 2022

This paper aims to predict Busan's regional product and employment using the logistic regression models and machine learning models. The following are the main findings of the empirical analysis. First, the OLS regression model shows that the main industries such as electricity and electronics, machine and transport, and finance and insurance affect the Busan's income positively. Second, the binomial logistic regression models show that the Busan's strategic industries such as the future transport machinery, life-care, and smart marine industries contribute on the Busan's income in large order. Third, the multinomial logistic regression models show that the Korea's main industries such as the precise machinery, transport equipment, and machinery influence the Busan's economy positively. And Korea's exports and the depreciation can affect Busan's economy more positively at the higher employment level. Fourth, the voting ensemble model show the higher predictive power than artificial neural network model and support vector machine models. Furthermore, the gradient boosting model and the random forest show the higher predictive power than the voting model in large order.

• Industrial Engineering and Management Systems
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• v.12 no.1
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• pp.2-8
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• 2013

Uncertainty theory is a branch of mathematics based on normolity, duality, subadditivity and product axioms. Uncertain process is a sequence of uncertain variables indexed by time. Canonical Liu process is an uncertain process with stationary and independent increments. And the increments follow normal uncertainty distributions. Uncertain differential equation is a type of differential equation driven by the canonical Liu process. Stability analysis on uncertain differential equation is to investigate the qualitative properties, which is significant both in theory and application for uncertain differential equations. This paper aims to study stability properties of linear uncertain differential equations. First, the stability concepts are introduced. And then, several sufficient and necessary conditions of stability for linear uncertain differential equations are proposed. Besides, some examples are discussed.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.4 no.3
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• pp.189-192
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• 2003

This Study attempts to explore the Concept, Necessity, and Applicability of the Catastrophe Bond (Cat Bond) in Korea. Cat Bond is a new financing product, which is not introduced in Korea yet. It is a new trend in world market to cooperate the insurance and capital market through the Cat Bond. Cat Bond has to be introduced in Korea as in a world market.

• Journal of the Korea Safety Management & Science
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• v.12 no.1
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• pp.161-168
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• 2010

This paper presents a six sigma project for improving customer satisfaction of a franchise store. The project follows a disciplined process of five macro phase : define, measure, analyze, improve, and control(DMAIC). Due to the limitation of existing methodologies, numerous difficulties arise during the six sigma application to transactional processes. This paper expected to be helpful to service industry in which is very difficult to measure and implement.

• Journal of applied mathematics & informatics
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• v.38 no.5_6
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• pp.439-461
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• 2020

A step-up option is a newly developed financial instrument that simultaneously provides higher security and profitability. This paper introduces two step-up options: step-up type1 and step-up type2 options, and derives the option pricing formulas using the Laplace transform. We assume that the underlying equity price follows a regime-switching model that reflects the long-term maturity of these options. The option prices are calculated for the two types of funds, a pure stock fund composed of risky assets only and a mixed fund composed of stocks and bonds, to reflect possible variety in the fund underlying asset mix. The impact of changes in the model parameters on the option prices is analyzed. This paper provides information crucial to product developments.