• Journal of the Korean Dietetic Association
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• v.13 no.3
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• pp.250-264
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• 2007

The purpose of this study was to compare dietitians' with cooks' actual sterilization performance for improving points of sanitation practices of cooking instruments and facilities in Kyonggi Province school foodservices. A total of 400 questionnaires were mailed to the dietitians and the cooks at elementary and middle schools in Kyonggi Province. Finally, 140 dietitians and 140 cooks replied by making a total of 280 replies(70%). The results of this study found that the cooks' attitudes toward the sterilization of the vegetable cutter body, multiple shelf, and distributing cart showed higher frequencies than the dietitians'. Cooks disinfected the vegetable cutter blade, multiple shelf, distributing cart, cook's aprons, and 'L' transporting cart better than dietitians' guides expected. In the sterilization method, cooks performed better than indicated when cooking with rubber gloves. The most difficult thing in dietitians' managing sterilization was the lack of cooking facilities and instruments. They strongly demanded the detailed explanatory notes according to their own Cities and Provinces and the circumstantial manual of disinfection parts in School Foodservice Sanitary Management Guide. There were possibilities of food-poisoning, infection and safety incidents due to the budgetary shortage of cooking facilities and instruments.

• Journal of the Korea Safety Management & Science
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• v.7 no.4
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• pp.61-71
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• 2005

Many researches have been focused on the analysis of industry disasters in order to reduce them. As a similar endeavor, this paper provides a propensity analysis of injured people from various industries using classification and regression tree(CART), a data mining algorithm. The sample for this work was chosen from 25,157data related to various industries during one year ( $2003.2\sim2004.1$ ) at Kangwon-Do in Korea. For the purpose of this paper, eight independent variables (injured date, injured time, injured month, type of Injured person, continuous service period, sex, company size, age)are taken from injured person group. According to the analysis result, it is found that five out of the eight factors that are predicted as significant have salient effects. Factors of season, time/hour, day of the week, or month which disasters happened do not show any significant effect. This paper provides common features of injured people. The provided analysis result will be helpful as a starting point for root cause analysis and reduction of industry disasters and also for development of a guideline of safety management.

• 한국ITS학회:학술대회논문집
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• 2008.11a
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• pp.1-7
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• 2008

• Journal of the Economic Geographical Society of Korea
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• v.21 no.2
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• pp.90-106
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• 2018

This study suggests a gateway strategy for transporting agri-food exports to expand exports after examining the patterns of Korean agri-food exports by commodities and the role of export gateways. Korean agri-food exports have increased, but processed food exports have increased significantly compared to fresh agricultural products during the last 17 years. More importantly, Busan port is the main agri-food export hub in Korea. Under these circumstances, this paper examines the determinants of processed cereal-based food (HS 19) exports through Busan port using classification and regression tree (CART) analysis. As a result, the main factors that help to predict the real value of Korean exports are the GDP of the export destination countries, their distances from Korea and their GNI per capita. The destinations of Korean agri-food exports are finally classified into eight groups, which reveals the characteristics of clusters and provides useful insights for the strategies to expand agri-food exports.

• Journal of Korea Multimedia Society
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• v.7 no.7
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• pp.877-885
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• 2004

In this paper, we propose an enhancement shot change detection method using the neural net and the robust feature selection out of multiple features. The previous shot change detection methods usually used single feature and fixed threshold between consecutive frames. However, contents such as color, shape, background, and texture change simultaneously at shot change points in a video sequence. Therefore, in this paper, we detect the shot changes effectively using robust features, which are supplementary each other, rather than using single feature. In this paper, we use the typical CART (classification and regression tree) of data mining method to select the robust features, and the backpropagation neural net to determine the threshold of the each selected features. And to evaluation the performance of the robust feature selection, we compare the proposed method to the PCA(principal component analysis) method of the typical feature selection. According to the experimental result. it was revealed that the performance of our method had better that than the PCA method.

• The Journal of Korean Medicine
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• v.31 no.5
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• pp.41-59
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• 2010

Objective: Headache is one of the most common symptoms in primary medical care. The purpose of this study was to support medical treatment by consideration of a new CTTH (chronic tension-type headache) oriental medical diagnosis index. Methods: An Oriental medical diagnosis questionnaire was administered to a CTTH group, migraine group and normal group. The result was classified by using LDA, CART, factor diagnosis and tested in comparison with the original diagnosis. Also, weighting method based on expert opinions was done. Results: 1. The result analyzed by using LDA has an accuracy of 93.9% in comparison with the original diagnosis. 2. High accuracy showed when the test was performed with about 35 significant questions and four questions selected based on SPSS Wilks' lambda. 3. There was accuracy of 90.9% when differentiation was performed by using CART compared with original diagnosis. 4. 10 factors has a high initial value after factor analysis, consisting of questions to the similar differentiation. 5. Diagnosis formula of headache was made by using weighting method based on expert opinions. Conclusion: Oriental medical diagnosis questionnaires make it possible to classify headaches significantly. The study about weighting method of CTTH can make it possible to classify symptoms more accurately.

• Journal of Biosystems Engineering
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• v.34 no.4
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• pp.286-294
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• 2009

A high prevalence of protected horticulture farmer's work-related musculo-skeletal disorders (MSDs) have been reported in precedent studies. One of the tasks required ergonomic intervention to reduce the musculo-skeletal risks is the task of product transporting. The purpose of this study is to evaluate quantitatively the spinal load of operator using manual vehicles to predict and prevent musculo-skeletal risks. Spinal load in operators using 4 kinds of manual vehicle were analyzed. Before evaluating spinal load on operator using the manual vehicles by bio-mechanical approach, it is needed to validate human model. In this study, ADAMS LifeMOD human model shows satisfactory results, comparing with already validated model's results or measured results. While Operators pushed the manual vehicles(wheelbarrow, Trolley, 2 wheel cart, and 4 wheel cart) contained loads that were 0 N and 800 N, their spinal loads(compression force, shear force) were evaluated. The compression force demonstrated under the NIOSH action limits - 3410N - for all 4 manual vehicle's operators(McGill 1997; Marras 2000). However, the lateral shear force demonstrated over the University of Waterloo - 500N - for all 3 manual vehicle's operators except 4Wheel cart (Yingline and McGill, 1999). Therefore, operators have risks in prevalence of the musculo-skeletal disorders due to shear force. The findings of this study suggest that it need to be determine the spinal load, especially lateral shear force in designing the manual vehicles in the future.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.40 no.2
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• pp.129-136
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• 2017

Among the information technology and automation that have rapidly developed in the manufacturing industries recently, tens of thousands of quality variables are estimated and categorized in database every day. The former existing statistical methods, or variable selection and interpretation by experts, place limits on proper judgment. Accordingly, various data mining methods, including decision tree analysis, have been developed in recent years. Cart and C5.0 are representative algorithms for decision tree analysis, but these algorithms have limits in defining the tolerance of continuous explanatory variables. Also, target variables are restricted by the information that indicates only the quality of the products like the rate of defective products. Therefore it is essential to develop an algorithm that improves upon Cart and C5.0 and allows access to new quality information such as loss cost. In this study, a new algorithm was developed not only to find the major variables which minimize the target variable, loss cost, but also to overcome the limits of Cart and C5.0. The new algorithm is one that defines tolerance of variables systematically by adopting 3 categories of the continuous explanatory variables. The characteristics of larger-the-better was presumed in the environment of programming R to compare the performance among the new algorithm and existing ones, and 10 simulations were performed with 1,000 data sets for each variable. The performance of the new algorithm was verified through a mean test of loss cost. As a result of the verification show, the new algorithm found that the tolerance of continuous explanatory variables lowered loss cost more than existing ones in the larger is better characteristics. In a conclusion, the new algorithm could be used to find the tolerance of continuous explanatory variables to minimize the loss in the process taking into account the loss cost of the products.

• Journal of the Korea Society for Simulation
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• v.22 no.3
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• pp.55-69
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• 2013

Managers are required to adopt and implement the human resource management practice that fit firm's strategy the most, so that optimize overall performance. However, the time and relative resources that any firm has are limited, which demands managers to understand the relative importance of all sorts of HR practice and promote them in an order of their relative importance. This study follows the universal perspective and contingency perspective(according to firm size and strategy type), try to identify the most effective HR practice on performance as well as their relative importance by "CART Ensemble" analysis. The results are as follows. From universal perspective, firms always need to high level of integration between strategy and HR department, decision making participation, autonomy of speed of working, and autonomy of way of working. Contingency perspective also suggested the importance of integration between HRM and strategy. But others are different case by case. This study suggests useful implications for managers.

• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.266-273
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• 2005

Data mining techniques enable us to generate useful information for decision support from the data sources which are generated and accumulated in the process of routine organizational management activities. College administration system is a typical example that produces a warehouse of student records as each and every student enters a college and undertakes the curricular and extracurricular activities. So far, these data have been utilized to a very limited student service purposes, such as issuance of transcripts, graduation evaluation, GPA calculation, etc. In this paper, we utilize Holland career search test results, TOEIC score, course work list, and GPA score as the input for data mining and generation the student advisory information. Factor analysis, AHP(Analytic Hierarchy Process), artificial neural net, and CART(Classification And Regression Tree) techniques are deployed in the data mining process. Since these data mining techniques are very powerful in processing and discovering useful knowledge and information from large scale student databases, we can expect a highly sophisticated student advisory knowledge and services which may not be obtained with the human student advice experts.