• The Research Journal of the Costume Culture
• /
• v.20 no.6
• /
• pp.838-853
• /
• 2012

The purpose of this study is to identify adult learners' decision making variables, satisfaction, and evaluation toward fashion education as a university lifelong education program. As decision making variables, this study included participation purpose, information source, and selection criteria for lifelong education center and program. Regarding satisfaction toward fashion education, this study included satisfaction toward program and satisfaction toward education condition and administrative services. Data were gathered by both questionnaires and focus group interview(FGI) with 12 adults who completed the program. While questionnaires were used for decision making variables and satisfaction, FGI was used for evaluation. Frequency was used to analyze the questionnaires and content analysis was used to analyze the results of FGI. The findings showed that respondents participated mostly because of hobby or interest and got information mostly from acquaintances. They regarded program contents as the selection criteria for lifelong education center. They also regarded lecturers' professionality as the selection criteria for the program and showed high satisfaction toward lecturers' passion. Regarding education condition and administrative services, they showed high satisfaction. FGI also showed the importance of individual competence, career development, a work-study program, a on-site study program, and lecturer. The results suggest methods to make university lifelong education programs more appealing to adults who want to attend universities for non-degree university programs.

• The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology
• /
• v.30 no.3
• /
• pp.76-87
• /
• 2017

Objectives : This study aimed to analyze the recent acupuncture clinical trial on atopic dermatitis and to suggest the plan about how to improve its quality. Methods : Data were collected through electronic database including MEDLINE. We set up the search terms for "atopic dermatitis AND acupuncture" and limited period of data within 6 years and type for RCT(Randomized Clinical Trial), SR(Systemic Review). Results : Total 5 studies were selected. Two were RCTs, and the rest were SRs. RCTs were insufficient about acupoint selection criteria and foundation. SRs both pointed out that systematic clinical trial is required. Conclusions : Based on these, we suggested the plan as follows. 1. Selection criteria - We should reevalute the participants by using diagnostic criteria and scales. 2. Selection acupoints - We should present the foundation that why we choose these acupoints. 3. Establishing acupuncture and control group - We should make control group clearly after calculating the number of participants statistically. 4. Blinding - We should propse the method, type, procedure and evaluation about randomization. 5. Evaluation scale - We should select the suitable scales for research objectives.

• Journal of Korean Society on Water Environment
• /
• v.33 no.3
• /
• pp.348-358
• /
• 2017

The process of evaluating and selecting the best available techniques presents various characteristics for each country. In the case of EU, BAT is selected through TWG meeting after first screening, mass and energy balance, impact assessment and decision support process. Korea has proposed four principles to select BAT that can be carbon neutral for each environmental infrastructure in order to reduce greenhouse gas emissions. In order to evaluate and select the best available technique, it is necessary to differentiate the method according to whether it is a technique generally applied at the current workplace, whether it is a single technique or a combination technique, and whether it is a technology technique or management technique. In the case of a single technique, it should be evaluated whether it is a technique applied in the workplace, excessive cost, superior environmental technique over BAT, and secondary environmental pollution. In the case of multiple techniques, it is necessary to examine whether the emission standards are met and whether the pollutants can be treated at the same level as BAT. In the case of BAT candidates for management techniques, whether or not they contribute directly or indirectly to lowering the emission level of pollutants can be an important evaluation item. In the case of environmental techniques that are not generally applied in the workplace, it is recommended that the following 8 steps be carried out, including those prescribed by law. In the first stage, the list of performance evaluation factors is listed. In the second stage, the level of disposal of pollutants and the level of satisfaction with standards are listed. In the third stage, the environmental evaluation elements are listed. In the fourth stage, Is to list the economic evaluation elements, step 6 is to list the pollution and accident prevention evaluation factors, step 7 is the quantitative evaluation of the technical working group, and step 8 is BAT confirmation through deliberation of the central environmental policy committee.

• Journal of the Korean Society of Food Culture
• /
• v.28 no.2
• /
• pp.195-203
• /
• 2013

The aim of this study was to provide strategic implications for the coffee market in which competition got severer through IPA analysis based on the attributes of selection of a specialized franchise coffee shop. The results of a positive analysis conducted with undergraduates in their twenties were as follows: According to the evaluation of the importance of the attributes of selection of a specialized coffee shop, the most important were 'cleanliness and hygienic facilities inside the shop (6.09)' and 'taste and quality of the menu (coffee) (6.09)'. According to the performance analysis, those showing the highest performance were 'brand image (4.92)' and 'cleanliness and hygienic facilities inside the shop (4.92)'. According to the result of IPA analysis, what customers regarded as being the most important were 'taste and quality of the menu (coffee)', 'kindness of the staff', and 'cleanliness and hygienic facilities inside the shop', and, in fact, they showed great performances as well. However, 'price of the menu (coffee)' was regarded as being important but did not indicate a great performance; therefore, they showed dissatisfaction with it. Although they did not think 'environment around the shop', 'brand image', 'brand recognition' or 'interior size and scale of the shop' were important, the attributes did not appear to show great performances. Therefore, we need constant maintenance strate gies regarding the fact that consumers are considered to be very important for evaluation, and should make efforts to change the price in advance.

• The Research Journal of the Costume Culture
• /
• v.9 no.5
• /
• pp.734-746
• /
• 2001

The purpose of this study is to investigate the influence of women's self-image on image evaluation of clothing self-image, and on their selection of clothing styles by situations. The subject of investigation was 500 women above 20 living in Daegu. 6 types of clothing styles including classic, casual, elegant, dramatic, romantic, and mannish and 7 social situations including shopping near house, shopping in a busy street, cultural center, wedding ceremony, dinning out, alumni meeting or fraternity meeting, and couples meeting were used for this study. Data analysis was performed using SPSS package, which included factor analysis, reliability test, cluster analysis, ANOVA, and X²-test. The results are summarized as follows. 1. Adult women could be classified into 4 groups such as the passive mannish, the passive feminine, the active mannish, and the active feminine by their self-images. 2. There were different opinions on each clothing style by self-image. In the image of each clothing style by self-image groups, the passive feminine group considered classic style having effect to make people look tall, mature and elegant style to make people look active and charming. Also, they rated the boldness of dramatic style and the activeness of mannish style high. The active feminine group estimated the boldness of mannish style high. 3. Selection of clothing style differed according to various situations. More formal the situation was, more classic style tended to be selected and for less formal situation, mannish style was selected.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.16 no.4
• /
• pp.1128-1145
• /
• 2022

Owing to the rapid development of information science, data analysis based on machine learning has become an interdisciplinary and strategic area. Marine predators algorithm (MPA) is a novel metaheuristic algorithm inspired by the foraging strategies of marine organisms. Considering the randomness of these strategies, an improved algorithm called co-evolutionary cultural mechanism-based marine predators algorithm (CECMPA) is proposed. Through this mechanism, search agents in different spaces can share knowledge and experience to improve the performance of the native algorithm. More specifically, CECMPA has a higher probability of avoiding local optimum and can search the global optimum quickly. In this paper, it is the first to use CECMPA to perform feature subset selection and optimize hyperparameters in support vector machine (SVM) simultaneously. For performance evaluation the proposed method, it is tested on twelve datasets from the university of California Irvine (UCI) repository. Moreover, the coronavirus disease 2019 (COVID-19) can be a real-world application and is spreading in many countries. CECMPA is also applied to a COVID-19 dataset. The experimental results and statistical analysis demonstrate that CECMPA is superior to other compared methods in the literature in terms of several evaluation metrics. The proposed method has strong competitive abilities and promising prospects.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.7
• /
• pp.1773-1793
• /
• 2023

Automated machine learning, often referred to as "AutoML," is the process of automating the time-consuming and iterative procedures that are associated with the building of machine learning models. There have been significant contributions in this area across a number of different stages of accomplishing a data-mining task, including model selection, hyper-parameter optimization, and preprocessing method selection. Among them, preprocessing method selection is a relatively new and fast growing research area. The current work is focused on the recommendation of preprocessing methods, i.e., feature subset selection (FSS) algorithms. One limitation in the existing studies regarding FSS algorithm recommendation is the use of a single learner for meta-modeling, which restricts its capabilities in the metamodeling. Moreover, the meta-modeling in the existing studies is typically based on a single group of data characterization measures (DCMs). Nonetheless, there are a number of complementary DCM groups, and their combination will allow them to leverage their diversity, resulting in improved meta-modeling. This study aims to address these limitations by proposing an architecture for preprocess method selection that uses ensemble learning for meta-modeling, namely AutoFE-Sel. To evaluate the proposed method, we performed an extensive experimental evaluation involving 8 FSS algorithms, 3 groups of DCMs, and 125 datasets. Results show that the proposed method achieves better performance compared to three baseline methods. The proposed architecture can also be easily extended to other preprocessing method selections, e.g., noise-filter selection and imbalance handling method selection.

• Proceedings of the Korea Contents Association Conference
• /
• 2007.11a
• /
• pp.153-159
• /
• 2007

With development of the methodology for the selection of future emerging research and technology subject it will reach and the research for the concrete item selection which leads is propelled. It uses scientometrics objective indexes and accomplished information analysis of highly cited paper(HCP) & Clustering from the present paper. Scopus data about under using it accomplishes information analysis of construction traffic fields. It selects emerging research of construction traffic fields, it compares a national for technical trend.

• Journal of Korean Institute of Industrial Engineers
• /
• v.32 no.1
• /
• pp.18-28
• /
• 2006

Some issues which should be considered in an R&D project selection problem are as follows: First, quantitative analysis on the efficiencies of R&D projects is required to guarantee objective validity in the evaluation of the projects. For this reason, the methodology for selecting R&D projects should be based on mathematical models that perform quantitative analysis. Second, in general there are ordinal factors like Likert-scale in the data for evaluating R&D projects. Previous researches, however, couldn't suggest explicit methods incorporating these ordinal factors into models. Third, for the R&D project selection problems with limited resources like budget, it is necessary to decide the perfect ranking of the all projects. This paper develops a mathematical model that can be applicable to the problems of selecting R&D projects with the previous features. In this paper, we improve the original DEA model for evaluating efficiency to incorporate ordinal factors and suggest a new model which can decide the perfect ranking of all projects by merging the improved DEA model and AHP method. Furthermore a web-based R&D project selection system using the DEA/AHP model suggested in this paper is developed and illustrated.

• Journal of the Korea Safety Management & Science
• /
• v.10 no.1
• /
• pp.91-105
• /
• 2008

Nowadays, circulation industry is taking charge of important role in improvement of competitive power on the manufacturing industry and public welfare increase of consumer, price stabilization, employment creation and so on. A lot of research have been progressing for formation of total circulation complex, but decision making for selection of location on some facility is only calculated the optimum value when correct data values are inserted. However, a lot of decision making is accomplished in situation that have little knowledge of objective and constraints and as real world is also evaluated inclusive of analyst's subjectivity about variable, indefinite and fuzzy part, so it is decreasing a reliability on evaluation result and complicating objective evaluation on various effect and negative impact. Accordingly, from under like this situation, this study is to develop location decision model of circulation complex using fuzzy theory from the intention for the most reasonable decision making in fuzzy situation based on decision making problem on conventional location and size decision that did to be satisfactory constraints necessarily.