• 한국의류학회지
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• 제23권8호
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• pp.1194-1205
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• 1999

The hand characteristics of bast blended fabrics are studied by a subective evaluation method. To offer basic data for development of better hand of bast fiber fabrics customer's hand preference surveys are executed as well. IN this study 51 varieties of linen or ramie blended fabrics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen fabics of various blending ratio density and thickness and Hansan ramie Chinese ramie and a Shingosen farbic and used. To evaluate the hand of the fabrics subjectively nine ranks' semantic differential scale questions of 26 items are developed with adjective pairs. A seven ranks' scale is also developed to evaluate hand preferences in blouse and jacket cloths, Through subjective evaluation of bast blended fabrics the 26 items could be classified into seven kinds of hand classification : surface characteristics extensibility/drapability felling of heaviness stiffness resilience moisture property and feeling of density. The cumulative variance value explained by these seven factors is 67.18% According to the results of fabrics' preference by age groups no significant differences are found in blouse cloths but a few significant differences are found among different age groups in jacket clothes. However experts and non-experts show considerable differences on preference It can be concluded that fabrics' preference I more dependent on professionality than on age. In the survey experts. However more drapery cloths are preferred by experts and cloths with drier touch are preferred by non-experts. Experts prefer rougher less even less winding heavier and sparser fabrics but non-experts prefer rougher lighter thinner and stiffer fabrics as jacket cloths.

• 한국안전학회지
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• 제24권4호
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• pp.90-95
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• 2009

The purpose of this study is to investigate industrial safety and health experts' opinions on the examination system of WMSDs(work related musculoskeletal disorders) risk factors. For doing this, a questionnaire study and two FGIs(focused group interview) were conducted. A questionnaire with open questions about the examination system was developed, and sent to 42 experts consented bye-mail. Of the experts, 24 experts responded, whose data were used in the analysis. The FGIs were performed for the persons in charge of industrial safety and health in industries and ergonomists. The questionnaire study revealed that most experts(91.3%) agreed with legalization of employers' duty for preventing WMSDs, necessity of the 11 tasks designated by Ministry of Labor, the examination system and ergonomics program, and pertinency for the examination system classification of periodic and occasional one. However, more than half experts disagreed with timeliness and appropriateness of the legal system. This was validated by the low approval rates for appropriateness of the 11 tasks, methods of the examination, charge person in the examination and ergonomics program. FGIs showed that it was desirable for the examination system to be legalized, and that the system was generally properly performed. It was suggested that the system be partially revised with reflecting problems disclosed during its enforcement rather than whole revision. It is expected that when revising relevant legal system, the results of this study would be used as valuable data.

• 융합경영연구
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• 제12권2호
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• pp.11-18
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• 2024

Purpose: The purpose of this study is to suggest the activation plan of the post-construction sales through the results of a survey on the perception of Seoul citizens and experts. Research design, data and methodology: The purpose of this study is to suggest the activation plan of the post-construction sales through the results of a survey on the perception of Seoul citizens and experts. Results: According to a survey of Seoul citizens' perceptions, 76.7% of Seoul citizens were well aware of post-construction sales and recognized that post-construction sales would reduce pre-sale speculation and confusion in the real estate market. Second, 73.6% of Seoul citizens were willing to buy houses through post-construction sales, and third, 79.6% of Seoul citizens recognized that a post-sale system was necessary. Experts' opinions generally responded to the expansion of the introduction of post-construction sales, saying, 'It is necessary for both the public and the private sectors'. Second, while experts say that there are also positive effects, negative effects such as polarization centered on large corporations, an increase in sales prices, and a decrease in housing supply are also concerned. Third, experts responded that 'diversification of financing methods' is the most important task in revitalizing the post-sale system. Conclusions: The policy implications are that it is necessary to mandate the post-construction sales in the long term, and that the quality assurance system needs to be supplemented even if the sale is promoted post-construction sales. In addition, private participation is essential to revitalize the post-construction sales, and government support such as initial financing, low-interest rates, and various financing measures should be sought to expand private participation.

• 인터넷정보학회논문지
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• 제17권6호
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• pp.143-152
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• 2016

본 연구에서는 과학영재들에게 ICT 핵심역량을 키워줄 수 있는 교육 방안을 수립하기 위해 과학영재들에게 필요한 ICT 핵심역량은 무엇이며, 과학영재들에게 ICT 핵심역량을 키워줄 수 있는 효과적인 교육 방법은 무엇인지 등을 확인하고자 하였다. 이를 위해 창의적인 미래인재에게 필요한 ICT 역량에 대한 기존 연구[6]를 기반 모델로 설정하여, 해당 연구에서 제시하고 있는 핵심역량 등에 대해 영재교육 전문가 그룹을 대상으로 의견조사를 실시함으로써 그 타당성을 검토하였다. 본 연구의 특성상 대규모의 영재교육 담당 전문가들을 대상으로 한 의견조사가 필요하다는 점과 이러한 전문가들이 지리적으로 전국에 걸쳐 분산되어 있다는 난점을 극복하기 위해 온라인 의견조사지를 제작하여 전문가들의 의견을 수집하였다. 수집된 자료는 주로 빈도분석에 의해 요약, 종합하는 방법으로 현장 전문가들의 의견을 확인하는데 활용되었다. 일부 ICT 역량 수준별 비교 등의 집단비교를 위해 x2검증 또는 변량분석(ANOVA)이 활용되었다. 연구의 결과를 요약하면 다음과 같다. 첫째, 대부분의 G/T 전문가들은 과학영재학생들을 위한 교육과정에 ICT 역량을 강화하기 위한 내용의 중요성과 필요성을 인식하고 있었다. 둘째, 대부분의 G/T 전문가들은 지식기술역량, 통합창의역량, 인성역량의 3대 핵심역량이 과학영재들을 위한 ICT 역량으로서 타당한 것으로 인식하였다. 셋째, 대부분의 G/T 전문가들은 각 핵심역량별로 제시된 하위교육목표들을 과학영재들을 위한 ICT 역량 강화 교육의 교육목표로서 타당한 것으로 인식하였다. 넷째, 대부분의 G/T 전문가들은 과학영재들을 위한 ICT 역량 강화 교육의 교육 형태로서 '산출물 제작 중심 교육'과 '정보기기 활용 교육'이 중요하다고 인식하였다

• 방사선산업학회지
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• 제17권1호
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• pp.61-67
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• 2023

A Study on the Introduction of Dose Constraints for Occupational Exposures: Focusing on Experts' Opinions by Field of Radiation Industry. The International Commission on Radiological Protection suggests Justification, Optimization, and Dose Limits as the three principles of radiological protection, among which, as a means of protection optimization, ICRP 103 recommends to set dose constraints. In this study, opinions are collected from experts in each category of radiation industries for stakeholder participation to qualify dose constraints. A guidance and questionnaire for analyzing the dose constraints have been developed for their collection, and opinions were collected from radiation protection experts in selected categories. 20 out of 22 experts, consisted with 91%, have assessed the dose constraints setting is necessary, and 2 experts, consisted with 9%, assessed it is unnecessary. The average of dose constraint presented by experts for RI production institutions is to be the highest level of 15.3 mSv, and light-water reactors (14.6 mSv), non-destructive inspection (14.4 mSv), heavy-water reactor and medical institutes (13.9mSv) is to be above the overall average dose constraint. In case of public institutions, the average dose constraint is to be 8.6mSv, and research institutions (8.8mSv), educational institutions (9.6 mSv), waste disposal sites (9.7 mSv), and general industries (10.6 mSv) are resulted to below the overall average dose constraint. As for the means of setting dose constraints, 8 experts out of 22 suggested setting dose constraints for each specific industry or task. And, 5 experts especially suggest setting dose constraints for the specific groups with relatively high exposure, such as workers with above the record levels. As a countermeasure for workers who exceed the dose constraints, 15 experts out of 22 expressed that the cause analyses for them and preparation for a plan of reducing them are necessary.

• 한국보육지원학회지
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• 제13권3호
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• pp.19-38
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• 2017

Objective: The purpose of this study is to examine the practical experiences of childcare experts, parents, and daycare center directors who participated in the 'Daycare Centers Monitoring Program' carried out in K city. Methods: Participants were three childcare experts who belong to the monitoring group in K city, three mothers with infants and children, and three daycare center directors who were selected for the 'Daycare Centers Monitoring Program'. Results: As a result of the research, the childcare experts experienced the following; 1) sharing interesting experiences with parents, 2) a perception of the monitoring program for taking advantage of mutual strengths, 3) the opportunity of maintaining a sense of presence in early childhood education institutions, et al. The mothers' experiences were shown to include, 1) resolving small questions about the operation and management of a daycare center, 2) feelings of relief through observing the life style of infants and children, 3) the joy and reward of being a member of the monitoring group, et al. The directors' experiences were indicated to include 1) a psychological discomfort recognized as a target of the daycare monitoring and as 'another evaluation', 2) the confusion caused by different reviews, 3) an ambiguity on the unfamiliar indexes and contents electronically documented, et al. Conclusion/Implications: Based on these results, there was a discussion about actual suggestions and educational implications on the daycare monitoring program in order to improve the quality of daycare services in childcare centers.

• 한국정보과학회논문지:컴퓨팅의 실제 및 레터
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• 제15권2호
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• pp.135-139
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• 2009

본 논문에서는 지역 전문가를 이용한 새로운 앙상블 방법을 제시하고자 한다. 이 앙상블 방법에서는 학습 데이타를 분할하여 속성 공간의 서로 다른 지역을 이용하여 전문가를 학습시킨다. 새로운 데이타를 분류할 때에는 그 데이타가 속한 지역을 담당하는 전문가들로 가중치 투표를 한다. UCI 기계 학습 데이타 저장소에 있는 10개의 데이타를 이용하여 단일 분류기, Bagging, Adaboost와 정확도를 비교하였다. 학습 알고리즘으로는 SVM, Naive Bayes, C4.5를 사용하였다. 그 결과 지역 전문가의 앙상블 학습 방법이 C4.5를 학습 알고리즘으로 사용한 Bagging, Adaboost와는 비슷한 성능을 보였으며 나머지 분류기보다는 좋은 성능을 보였다.

• 여성건강간호학회지
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• 제23권3호
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• pp.155-165
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• 2017

Purpose: The aim of this study was to understand the hand-on breast massage techniques used by well-known experts in breastfeeding clinics. Methods: A qualitative multiple-case design was applied that involved a feasibility test. Four experts sampling qualitative data collected by observing participants and in individual interviews were analyzed by content analysis, linking data to the propositions, and cross-case pattern matching. This study explored differences within and between cases, and the possibilities of replicating findings across cases. Thirty-nine postpartum women participated voluntarily in the feasibility test, which investigated the usability of four massage techniques. Results: The four techniques showed considerable similarities in terms of the application of stimulation to the breast base and increased flexibility of the wired flexible body, which was the core mechanism underlying the techniques. The breast management strategies were consistent with existing practice guidelines with the exception of using cold cabbage to control engorgement pain. There was insufficient scientific evidence for supporting the massage techniques used by the experts. All of the techniques showed 100% education completeness, but application rates were higher for self-control-oriented techniques. Conclusion: The massage techniques applied by experts in breastfeeding were based on hypotheses and self-control techniques are feasible to apply in practice.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제12권7호
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• pp.3128-3149
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• 2018

A number of effective methods for multiple-attribute group decision making (MAGDM) with interval-valued intuitionistic fuzzy numbers (IVIFNs) have been proposed in recent years. However, the different methods frequently yield different, even sometimes contradictory, results for the same problem. In this paper a novel criterion to determine the advantages and disadvantages of different methods is proposed. First, the decision-making process is divided into three parts: translation of experts' preferences, aggregation of experts' opinions, and comparison of the alternatives. Experts' preferences aggregation is considered the core step, and the quality of the collective matrix is considered the most important evaluation index for the aggregation methods. Then, methods to calculate the similarity measure, correlation, correlation coefficient, and energy of the intuitionistic fuzzy matrices are proposed, which are employed to evaluate the collective matrix. Thus, the optimal method can be selected by comparing the collective matrices when all the methods yield different results. Finally, a novel approach for aggregating experts' preferences with IVIFN is presented. In this approach, experts' preferences are mapped as points into two-dimensional planes, with the plant growth simulation algorithm (PGSA) being employed to calculate the optimal rally points, which are inversely mapped to IVIFNs to establish the collective matrix. In the study, four different methods are used to address one example problem to illustrate the feasibility and effectiveness of the proposed approach.

• Journal of Computing Science and Engineering
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• 제7권1호
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• pp.21-29
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• 2013

The introduction of recommender systems to existing online services is now practically inevitable, with the increasing number of items and users on online services. Popular recommender systems have successfully implemented satisfactory systems, which are usually based on collaborative filtering. However, collaborative filtering-based recommenders suffer from well-known problems, such as popularity bias, and the cold-start problem. In this paper, we propose an innovative collaborative-filtering based recommender system, which uses the concepts of Experts and Novices to create fine-grained recommendations that focus on being novel, while being kept relevant. Experts and Novices are defined using pre-made clusters of similar items, and the distribution of users' ratings among these clusters. Thus, in order to generate recommendations, the experts are found dynamically depending on the seed items of the novice. The proposed recommender system was built using the MovieLens 1 M dataset, and evaluated with novelty metrics. Results show that the proposed system outperforms matrix factorization methods according to discovery-based novelty metrics, and can be a solution to popularity bias and the cold-start problem, while still retaining collaborative filtering.