• Korean Journal of Health Education and Promotion
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• v.13 no.2
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• pp.97-114
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• 1996

Recently, attention for health promotion is rising. Alcohol is widely consumed among adults. About 1/3 of people 15 years of older enjoy drinking alcohol. Some 80% of them drink a half or more bottle of soju each time. Regular excessive drinking of alcohol may cause various problems. WHO(1990) reported that social problems such as divorce, unemployment, and financial difficulties ; psychological problems such as melancholy, suicide, and drug abuse ; physical problems such as cirrhosis, lung cancer, high blood pressure, stroke, and sterilization. The patients with liver disease are estimated to be 628,000. Approximately, 12,000 persons are dying by chronic liver disease and cirrhosis each year. Among the people of 15 years or older, persons dependent on alcohol are estimated to be 1,480,000. This study suggests policies to reduce the consumption of alcohol for planning for health promotion. Limitations of sites and times of sales and designation of sellers, designation of sites prohibiting drinking, limitation of alcohol sales promotion, and restrictions on advertisement can be inaugurated. Increase of price through the raise of tax and taxation of promotion cost. Education of high risk groups such as soldiers, pregnant women, and the youth can be introduced. Provision of alternative socialization programs instead of drinking. Some approaches on target groups were suggested.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2006.06a
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• pp.294-300
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• 2006

This case study shows constructing the knowledge-based system using a rule-based approach for detecting transactions regarding money laundering in the Korea Financial Intelligence Unit (KoFIU). To better manage the explosive increment of low risk suspicious transactions reporting from financial institutions and to conjugate data converged into the KoFIU from various organizations, the adoption of a knowledge-based system is definitely required. We designed and constructed the knowledge-based system for anti-money laundering by committing experts of each specific financial industry co-worked with a knowledge engineer. The outcome of the knowledge base implementation shows that the knowledge-based system is filtering STRs in the primary analysis step efficiently and so has made great contribution to improve efficiency and effectiveness of the analysis process. It can be said that establishing the foundation of the knowledge base under the entire framework of the knowledge-based system for consideration of knowledge creation and management is indeed valuable.

• Journal of the Korean Society of Costume
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• v.23
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• pp.183-196
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• 1994

The purpose of this study is , by analyze the relationship among clothing involvement which is major expanatory variable in the stage of product purchase and consumption, evaluation criteria of housewives, to help to give understanding the concept of involvement and to supply the fundamental data for constructing marketing stratege. The subject of this study was a 510 housewives and the items of study were three such as suit , one piece dress, blouse, skirt , and blue jean, T-shirt. For analyzing data frequency analysis, percent , mean , standard deviation , factor analysis. F-test, Duncan -test , MANOVA, t-test , and Pearson's product -moment correlation coefficient were used. The results are as follows. 1. Clothing involvement was divided into 4 dimensions such as fashion, pleasure, symbolism, and perceived risk. Evaluative criteria had 5 dimensions such as harmony , dignity , practicality , price, and fashion. 2. There was significant difference in the occupaton of working housewives and the expenditure of money on clothing concerning clothing involvement. 3. There was significant difference in items concerning the degrees of importance of each evaluation factor. Harmony was the first important dimension and practicality was the second by housewives. The degree of clothing involvement has a significant positive correlation with the factors of evaluation on each item. Each dimension of clothing involvement had a significant positive correlation with the factors of evaluation.

• Journal of Korea Multimedia Society
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• v.23 no.2
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• pp.282-292
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• 2020

In order to minimize casualties from marine vessel accidents that occur frequently at home and abroad, it is important to ensure the safety of the passengers aboard the vessel in the event of an accident. There is an EPIRB system as a system for disaster preparedness in the marine situation currently on the market, but there is a problem that the price is very expensive. In order to overcome the cost problem, which is a disadvantage of previous system, LoRaWAN-based communication is used. LoRaWAN communication-based vessel positioning and risk detection system based on LoRaWAN communication transmits measurement data of each module using two Beacon and GPS modules to stably perform position measurement for both indoor and outdoor situations. The rider danger situation detection system can detect the safety status of the rider using the 3-axis acceleration sensor, collect data from the rider positioning system and the rider safety status detection system, and send to server using LoRa communication. When conducting communication experiments in the long-distance maritime situation and actual communication experiments using the implemented system, it was found that the two experiments showed over 90% communication success rate on average.

• Korean Journal of Poultry Science
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• v.12 no.2
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• pp.119-126
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• 1985

The purpose of the study is to review the evolutional process of the U.S. broiler industry into the integrated production and marketing systems and to examine the factors influenced such a structural change over the Past half a century. The study is also carried out under the consideration that the experience gained by the integrated U.S. broiler industry could be utilized in applying the system to any non-integrated broiler industries like one in Korea. The U.S. broiler industry has been prevailed in the typical independent operation of all stages, from factor supply through growing to dressing and marketing until such time as growers began to suffer from financial difficulties right after the end of the World Wat II due mainly to lowered price of broilers stemmed from whopping decrease of the demand, which eventually reflected to the allied agribusiness sectors. The feed business field was the first reactor to this situation so that a kind of measures was taken to cope with the problems faced in such a way to provide extended credit on feeds first and help obtain chicks or sell broilers later. This trend has been practiced for broiler related agribusiness through late 1940's to work together with growers by coordinating its function between two or more stages involved in broiler production and marketing process as a means of spreading risk and sharing profit between stages Participated. The integrated system and contract farming thus became Popular across the country through mid 1950's.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.10 no.12
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• pp.5616-5642
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• 2016

Different from traditional auctions, electronic auctions provide a platform to allow bidders and auctioneers merchandise to each other over network anytime and anywhere. Auctioneers can publish information of goods, and bidders can choose the interested targets through this bidding platform. To ensure the fairness and security of electronic auctions, Li et al. have proposed a practical electronic auction scheme which can confirm the requirement of strong anonymity, bidding privacy, and secret bidding price. However, we have found out that Li et al.'s scheme may lurk the risk of the denial-of-service attack during the bidding phase in a sealed-bid auction. Thus, we propose a brand-new sealed-bid auction mechanism, in which the essentials of e-auction can be firmly preserved. In particular, each bidder only needs to register at the center once and then can join to multiple plays launched by different auctioneers. Moreover, the correctness of mutual authentication is confirmed according to the BAN logic model.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2018.05a
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• pp.294-295
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• 2018

Nowadays, the construction industry utilizes 3D models in the designing process, on which research is being conducted to establish an automated system for project cost estimation in connection with information related to construction such as material unit costs and wages, beyond the level of design interference review and construction quantity estimation. In this process, the project cost is estimated in connection with unit price data after takeoff the quantity based on the 3D model attributes and data types. A way to reduce cost and risk would be first developing prototypes of some of essential buildings and works, comparing and validating the outcomes, and then extending to the whole scope, because estimates differ on the basis of the scope and level of 3D design models as well as the data accuracy. This study analyzes case studies of project cost estimation by computing the quantity on the basis of 3D model in the construction industry and explores methodologies and management measures applicable for estimating nuclear power plant construction project costs.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.8
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• pp.33-40
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• 2020

The main aim of the study is to test a house pricing model by combining hedonic and asset-based pricing models. An understanding of the relationship between house pricing and its return (the rental income) helps to establish houses as a significant asset class. The model tested the relationship between house pricing (dependent variable) and the house attributes (independent variables) derived from Freeman's framework of housing attributes. This study uses a large data-set of 1,899 sample of new, high-end houses purchased between 2016 and 2019 collected from the national capital region of India (Delhi-NCR). The algorithm was built in R-Script, and stepwise multiple linear regression was used to analyze the model. The analysis of the model proves that the three significant variables, namely, carpet area, pay-off, and annual maintenance charges explain the price function. Further, the model is statistically fit. The major contribution of the study is to understand the key factors and their influence on the house pricing. The model will be helpful in risk assessment in the housing investment and enhance the chances of investment. Policy-makers can use information about the underlying valuation drivers of the house prices to stabilize the market and also in framing the tax policies.

• Journal of the East Asian Society of Dietary Life
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• v.22 no.2
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• pp.305-314
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• 2012

This study examined awareness and information acquisition behavior regarding food hygiene and safety and information search behavior of college students. The sample was obtained from 284 students in Yeungnam region through a self-administered questionnaire. To describe characteristics of the respondents, frequency distributions were used. In addition, $t$ tests, analysis of variance and Duncan multiple range tests were conducted. Data were analyzed by SPSS Windows V.18.0. The results of the study were as follows: (1) most respondents were concerned about food hygiene and safety. They were mostly interested in the expiration date label on breads, milk/dairy products, fish products and meat products, and price of cookies. Many respondents answered that foods produced and distributed in Korea were not safe. The respondents were most worried about endocrine disruptors among various food risk factors. The respondents received information on food hygiene and safety from blogs, mini-homepages, or Kin-searches on the Internet, electronic media, and food labeling in decreasing order.

• Journal of the Korean Society of Clothing and Textiles
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• v.32 no.2
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• pp.179-189
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• 2008

The purposes of this study were to segment surrogate internet shopping mall consumers by fashion leadership and to find the differences among the segmented groups in regard to surrogate internet shopping perceived risks, selection criteria, dissatisfactions with surrogate shopping malls, and other purchase behavior. The subjects of this study were female consumers who were users of surrogate internet shopping malls. The data were collected during October, 2005. The respondents returned the questionnaires and 283 questionnaires were finally used in the data analysis. The statistical analyses used for the study were factor analysis, ANOVA, Duncan test, and $X^2$-test. The results showed that consumers were segmented by four groups: fashion dual leaders, fashion leaders, fashion followers, and fashion laggards. These segmented groups were significantly different in regard to surrogate internet shopping mall perceived risks, selection criteria, dissatisfactions with surrogate shopping malls, and other purchase behavior. Generally, fashion dual leaders had less perceived risks, considered diverse selection criteria important, and were less dissatisfied with surrogate shopping malls. Also, the fashion dual leaders had a higher purchase frequency and paid a higher price on surrogate internet shopping malls.