• The Korean Journal of Food And Nutrition
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• v.11 no.5
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• pp.528-535
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• 1998

This study was conducted to provide some basic information for promoting efficiency in university food services. Subjects were 309 students of A, B and C university. The survey was done by questionaires, and the data were analyzed by SAS program. The quantity and nutritional values of food was evaluated as appropriate but temperature and freshness of food, use of seasonal food, variety of menu were indicated as unsatisfactory. Male students marked lower points on the price but female students gave lower scores for variety of menu and use of seasonl food. Employee hygiene fast service and neatness and kindness of workers were evaluated as appropriate but food sanitation and cleanness of dishes were indicated as unsatisfactory. A and B university students scored low marks on food sanitation. Female students scored higher marks on the employee's neatness. Arrangement of tables and chairs, location of returning utensils, location of counter use of menu board and ventilation facilities were scored as average but interior decoration and heating facilities were scored as low level. Students of a school scored low mark on the arrangement of tables, location of counter, heating facilities and interior decoration but students of B school scored low mark on the use of menu board. Calmness and comfortableness of dining hall was unsatisfactory but location of dining hall, serving time and waiting time were evaluated as appropriate. In conclusion improvements for temperature and freshness of food, use of seasonal food, variety of menu, food sanitation, cleanness of dishes, interior decoration, heating facility and resting area were indicated as necessary.

• Journal of Forest and Environmental Science
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• v.36 no.3
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• pp.187-198
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• 2020

This study extracted deforestation area and degraded forestland area, which are potential REDD+ (Reducing Emissions from Deforestation and Forest Degradation) project candidate areas in Paraguay using Land Cover Map (LCM) and Tree Cover Map (TCM). The REDD+ project objectives scenarios were set three stages: 'afforestation and economic efficiency scenario', 'local capacity reinforcement scenario', and 'Infrastructure-oriented scenario'. And then, we evaluated the project unit suitable area of the REDD+ project. All scenarios selected the evaluation factors for each scenario in addition to the area ratio factors for deforestation area and degraded forestland area and weighted values were extracted by assigning category scores. As a result of the three scenarios comparison analysis, Concepcion state score was the highest. Within Concepcion state, the Belon district had the highest score, making it appropriate as a project unit REDD+ project candidate area in Paraguay, while the San Carlos district had the lowest score. This study can be used as basic data for selecting REDD+ project candidate area in Paraguay, and it is expected to contribute sufficiently to REDD+ project if additional data or information of social, cultural and economic sectors are secured.

• Journal of the Korea Safety Management & Science
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• v.16 no.3
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• pp.23-34
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• 2014

With a view to analyzing the influential factors and their prioritization in association with the loss from construction disasters, this study has presented relative weighted value and importance for each category of loss by making a systematic classification of costs for non-insured categories (indirect costs) and conducting AHP analysis based on results of a survey of specialists. Through the study, first, I have divided the larger classification of loss factors into human loss factor, financial loss factor, special cost factor, and managerial loss factor, and, second, have presented prioritization of loss categories by allotting scores based on weighted values after calculating weighted value through pairwise comparison of loss levels. Based on these results of the study, we should be able to qualitatively calculate the loss costs that construction disasters inflict on business, promote rational decision-making and efficiency in spending related to a disaster, and compare it against safety investment designed to reduce disaster loss from the perspective of business strategy.

• Journal of Information Processing Systems
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• v.14 no.5
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• pp.1195-1214
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• 2018

Typical search engines may not be the most efficient means of returning images in accordance with user requirements. With the help of semantic web technology, it is possible to search through images more precisely in any required domain, because the images are annotated according to a custom-built ontology. With appropriate annotations, a search can then, return images according to the context. This paper reports on the design of a tourism ontology relevant to touristic images. In particular, the image features and the meaning of the images are described using various properties, along with other types of information relevant to tourist attractions using the OWL language. The methodology used is described, commencing with building an image and tourism corpus, creating the ontology, and developing the search engine. The system was tested through a case study involving the western region of Thailand. The user can search specifying the specific class of image or they can use text-based searches. The results are ranked using weighted scores based on kinds of properties. The precision and recall of the prototype system was measured to show its efficiency. User satisfaction was also evaluated, was also performed and was found to be high.

• Management Science and Financial Engineering
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• v.11 no.3
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• pp.79-93
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• 2005

Despite the fact that the sourcing process in B2B e-Marketplaces is one of the most important tasks, the evaluation and selection process of suppliers have been ad-hoc based and mainly dependent on the experience of sourcing managers' subjective knowledge. To remedy the problem, we developed a decision support System (called Wise - I) that helps sourcing managers evaluate suppliers in a more systematic way. The system reflects company's strategy and know-how by adopting company enforced weighted scores for different factors and employing a more scientific method of considering factors other than price and on-time delivery rate, utilizing the AHP method. This paper reports the effectiveness of the system as well as the detailed description of the system. To investigate the effectiveness of the system, we collected information through interview and questionnaire survey. The information was also augmented through the firm key index system, which monitors average delivery lead time and on-time delivery rate. The result indicates that the system leads to the efficiency of purchasing section and the transparency of buying process, therefore reduces delivery time and cost.

• Journal of Korean Society for Quality Management
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• v.38 no.2
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• pp.261-275
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• 2010

The purpose of this study is to empirically analyze the productivity change of the 10 Single PPM Certification Company in the 3 Industry(Electronics, Motor-Parts, Machines). In this study, Productivity change over the time in Korean small and medium sized firms in the 3 industries by the bootstrapped Malmquist Productivity Index(MPI). The traditional Malmquist Productivity Index(MPI) and Data Envelopment Analysis(DEA) Models have not only bias but also lack statistical confidence intervals. they could lead to wrong evaluations of the efficiency and productivity scores. In this paper, DEA and a MPI are combined with a bootstrap method in order to provide statistical inferences that analyze the performance of the Single PPM Certification Company. The data cover the period between 2004 and 2007. The result of this paper reveals : 1) The Electronics Industry had productivity effect of 17%, but there was not direct effect for other Industries(Motor-Parts, Machines). 2) average productivity Progress of the 7DMU(Electronics), 1DMU(Motor-Parts) and none(Machines).

• Journal of Information Science Theory and Practice
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• v.8 no.2
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• pp.68-78
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• 2020

This study is a preliminary study to develop an evaluation framework necessary for evaluating the DataON platform. The first objective is to examine expert perceptions of the level of DataON platform construction. The second objective is to evaluate the importance, stability, and usability of DataON platform features over OpenAIRE features. The third objective is to derive weights from the evaluation perspective for future DataON platform evaluation. The fourth objective is to examine the preferences of experts in each evaluation perspective and to derive unbiased evaluation criteria. This study used a survey method for potential stakeholders of the DataON platform. The survey included 12 professionals with at least 10 years of experience in the field. The 57 overall functions and services were measured at 3.1 out of 5 for importance. Stability was -0.07 point and usability was measured as -0.05 point. The 42 features and services scored 3.04 points in importance. Stability was -0.58 points and usability was -0.51 points. In particular, the stability and usability scores of the 42 functions and services provided as of 2018 were higher than the total functions were, which is attributed to the stable and user-friendly improvement after development. In terms of the weight of the evaluation point, the collection quality has the highest weight of 27%. Interface usability is then weighted 22%. Subsequently, service quality is weighted 19%, and finally system performance efficiency and user feedback solicitation are equally weighted 16%.

• The Journal of Korean Academic Society of Nursing Education
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• v.26 no.3
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• pp.238-247
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• 2020

Purpose: The purpose of this study was to identify the relationship between intrinsic motivation and learning outcomes of nursing college students who took the Fundamentals of nursing as a problem-based learning method. Methods: In this cross-sectional study, we identified the intrinsic motivations of 114 nursing students who completed problem-based learning using the Intrinsic Motivation Inventory. The t-test was conducted to identify differences according to intrinsic motivation, and correlation analysis was performed to confirm the relationship between intrinsic motivation and learning outcomes. Results: The group with higher intrinsic motivation showed higher scores in all domains of self-assessed learning outcomes than the lower group. It was the 'Relatedness with an instructor' that showed the highest correlation with the learning outcomes in the domains of intrinsic motivation. Conclusion: Problem-based learning is an effective learning method for cultivating the competencies needed for nurses. The intrinsic motivation of students is an important factor in the performance of problem-based learning. For the efficiency of problem-based learning, efforts should be made to develop and apply autonomy-supportive interventions that can enhance intrinsic motivation.

• The Research Journal of the Costume Culture
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• v.11 no.6
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• pp.913-924
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• 2003

The purpose of this study was to investigate the correlation between self-concept, clothing attitude and clothing buying behavior. The subjects used for the study were 300 male and female college students. The results of the study were as follows. The self-concept of subjects were identified four types(self-confident, positive to self, self-convinced and pessimistic). Self-confident type had the highest scores on self-concept and pessimistic type was the opposite. The clothing attitude was classified into 5 types(rational coordinative, clothing concerned, frugal, clothing showy and others conscious). Rational coordinative type and clothing concerned type were regarded more importantly than other types. The clothing buying behavior was emerged 5 types(economical, diffident, pleasure-seeking, impulsive and name-brand preferred). An economical efficiency was the most important factor in clothing buying behavior. The results of correlation between self-concept and clothing attitude showed that person who has more positive self-concept tends to have more interest and satisfaction toward clothing as well as tendency of showing off and rational coordination. The correlation between clothing attitude and clothing buying behavior showed that person who is more conscious to others tends to have more preference for name-brand products.

• Journal of Intelligence and Information Systems
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• v.8 no.2
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• pp.117-137
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• 2002

A CBR(Case-Based Reasoning) system solves the new problems by adapting the solutions that were used to solve the old problems. Past cases are retained in the case base, each in a specific form that is determined by features. Features are selected for the purpose of representing the case in the best way. Similar cases are retrieved by comparing the feature values and calculating the similarity scores. Therefore, the performance of CBR depends on the selected feature subsets. In this research, we measured the Selection Effect and the Elimination Effect of each feature. The Selection Effect is measured by performing the CBR with only one feature, and the Elimination Effect is measured by performing the CBR without only one feature. Based on these measurements, the feature subsets are selected. The resulting CBR showed better performance in terms of accuracy and efficiency than the CBR with all features.