• 제목/요약/키워드: support performances

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Improvement of Support Vector Clustering using Evolutionary Programming and Bootstrap

  • Jun, Sung-Hae
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • 제8권3호
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    • pp.196-201
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    • 2008
  • Statistical learning theory has three analytical tools which are support vector machine, support vector regression, and support vector clustering for classification, regression, and clustering respectively. In general, their performances are good because they are constructed by convex optimization. But, there are some problems in the methods. One of the problems is the subjective determination of the parameters for kernel function and regularization by the arts of researchers. Also, the results of the learning machines are depended on the selected parameters. In this paper, we propose an efficient method for objective determination of the parameters of support vector clustering which is the clustering method of statistical learning theory. Using evolutionary algorithm and bootstrap method, we select the parameters of kernel function and regularization constant objectively. To verify improved performances of proposed research, we compare our method with established learning algorithms using the data sets form ucr machine learning repository and synthetic data.

Evaluating a Technology Transfer and Commercialization Support Program: A Korean Case Study

  • Park, Mun-Su;Chang, Soonwoo Daniel
    • Asian Journal of Innovation and Policy
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    • 제9권3호
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    • pp.257-280
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    • 2020
  • The study analyzed the effectiveness of a technology transfer and commercialization support program to Korean technology transfer offices and firms. The study created a logic model to design a questionnaire to analyze how the support program, directly and indirectly, affected the technology transfer offices and the firms' performances. The study found that technology transfer offices are focused not only on potential firms' excavation activity to process the technology transfer but also on providing strategic support to provide practical assistance to the firms' needs. Not only has the number of technology transfer cases increased during the two-year program duration, but other activities, such as technical guidance and various strategic consulting for commercialization of the transferred technology, have also appeared to have increased considerably. Support program has helped strengthen the firms' internal capabilities, expand new market capabilities, and increase the firms' indirect performances.

Improving support performances of cone bolts by a new grout additive and energy absorber

  • Komurlu, Eren
    • Advances in materials Research
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    • 제11권3호
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    • pp.237-250
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    • 2022
  • The cone bolts with expanded front ends supply improved anchoring performances and increase energy absorbing capacities due to ploughing in the grouted drills. Within this study, use of a novel energy absorber for the cone bolt heads were investigated to assess its design in terms of supplying high support performances. Additionally, different grout material designs were tested to investigate whether the energy absorption capacities of the rock bolts can be improved using a silicone based thermoset polymer (STP) additive. To determine load bearing and energy absorption capacities, a series of deformation controlled pull-out tests were carried out by using bolt samples grouted in rock blocks. According to the results obtained from this study, maximum load bearing capacities of cone bolts are similar and mostly depend on the steel material strength, whereas the energy absorption capacity was determined to significantly vary in accordance with the displacement limits of the shanks. As a result of using STP additive and new polyamide absorber rings, displacement limits without the steel failure increase. The STP additive was found to improve the energy absorption capacities of grouted cone bolts. The absorber rings designed within this study were also assessed to be highly effective and able to double up the energy absorption capacities of the cone bolts.

사회적기업의 사회적 가치실현노력이 기업성과에 미치는 영향 - 외부지원환경 매개 효과를 중심으로 (Study on the Relation between Social Value Realization Efforts and Performances of Social Enterprises - Focudsing on Mediating Effect of External Support Environment)

  • 조영주;라영수
    • 한국콘텐츠학회논문지
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    • 제22권8호
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    • pp.307-317
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    • 2022
  • 본 연구는 사회적기업을 대상으로 사회적기업의 사회적가치 실현노력이 사회적기업의 성과에 미치는 영향 및 사회적 지원환경의 매개효과를 분석하였다. 분석을 위하여 사회적기업진흥원에서 사회적기업을 대상으로 실시한 '사회적경제 지역생태계 구축을 위한 지역자원 조사' 공개데이터 자료를 이용하여 통계 분석을 실시하였다. 분석결과 사회적기업의 사회적가치실현노력은 사회적기업의 사회적 성과와 경제적성과에 직접적인 영향을 미치는 것으로 나타났다. 특히 기업의 외부지원환경은 사회적가치실현 노력과 사회적 성과 간 각각 매개효과가 있는 것으로 나타났다. 그러나 Process for SPSS 4.0을 통한 매개효과의 통계적 유의성 검증결과, 외부지원환경은 사회적 가치실현노력과 사회적 성과 간 매개효과가 유의미했으나 경제적 성과에서는 매개효과가 비유의적이었다. 이로써 사회적 가치실현노력이라는 사회적자본이 사회적 성과에 미칠 수 있는 외부지원환경의 역할을 기대할 수 있을 것으로 보인다.

The Impact of State Financial Support on Active-Collaborative Learning Activities and Faculty-Student Interaction

  • Choi, Eun-Mee;Park, Young-Sool;Kwon, Lee-Seung
    • 산경연구논집
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    • 제10권2호
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    • pp.25-37
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    • 2019
  • Purpose - The goal of this study is to analyze the differences in education performances between students of the government's financial support program and those who do not receive support at a local university in Korea. Research design, data, and methodology - The questionnaire used was NASEL. NASEL is considered a highly suitable survey tool for professors, courses, and performances in Korean universities. The 290 students who participated and 44 students do not participate in the financial support program were surveyed for 10 days. The characteristics of students were investigated by frequency analysis and technical statistics. The analysis of student collective characteristics used independent t and f-tests,and one-way ANOVA with IBM SPSS Statistics 22.0 for statistical purposes. Results - The p-value of the group receiving financial support and the group without financial support in active-collaborative learning is 0.167. The p-value of the economically supported group and the non-supported group of the faculty-student interaction is 0.281. The confidence coefficient of the active-collaborative learning questionnaire is 0.861. The reliability coefficient of the questionnaire for the faculty-student interaction questionnaire is 0.871. Conclusions - There are no clear differences in active-collaborative learning and faculty-student interaction between participating and non-participating students in the economic program.

Surrogate Model Based Approximate Optimization of Passive Type Deck Support Frame for Offshore Plant Float-over Installation

  • Lee, Dong Jun;Song, Chang Yong;Lee, Kangsu
    • 한국해양공학회지
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    • 제35권2호
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    • pp.131-140
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    • 2021
  • The paper deals with comparative study of various surrogate models based approximate optimization in the structural design of the passive type deck support frame under design load conditions. The passive type deck support frame was devised to facilitate both transportation and installation of 20,000 ton class topside. Structural analysis was performed using the finite element method to evaluate the strength performance of the passive type deck support frame in its initial design stage. In the structural analysis, the strength performances were evaluated for various design load conditions. The optimum design problem based on surrogate model was formulated such that thickness sizing variables of main structure members were determined by minimizing the weight of the passive type deck support frame subject to the strength performance constraints. The surrogate models used in the approximate optimization were response surface method, Kriging model, and Chebyshev orthogonal polynomials. In the context of numerical performances, the solution results from approximate optimization were compared to actual non-approximate optimization. The response surface method among the surrogate models used in the approximate optimization showed the most appropriate optimum design results for the structure design of the passive type deck support frame.

질 관리 실무자가 인지하는 업무중요도와 수행업무에 관한 연구 (A Study on the Importance of Works Perceived by Quality Improvement Coordinators and Their Current Work Performances)

  • 김영주
    • 한국의료질향상학회지
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    • 제5권2호
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    • pp.224-237
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    • 1998
  • Background : This is an investigative study to analyse the importance of works perceived by Quality Improvement(QI) Coordinators and to evaluate their current work performances using the questionnaires developed by the investigator. Methods : The data were collected from 37 subjects over two weeks period from Oct. 1 to Oct. 17, 1998 and analysed by the descriptive statistics of SPSS program. The items of questionnaire are consisted of 13 work domains including 73 activities based on Quality Management(QM) Coordinator's job description of National Association for Healthcare Quality:data collection & analysis, communication, monitoring, evaluation, accreditation, tool development, policy development, program development, self development, education & trainning, system design, planning, and consultation & support. Results : 1) Of the performances in 13 work domains, the frequencies of the work performed were accreditation(89%), planning(88%), communication(83%), data collection & analysis(82%), monitoring(76%), policy development(72%), consultation & support (71%), education & trainning(70%), self development(68%), evaluation(63%), tool development(61%), program development(44%) and system design(43%) in order. 2) For the importances (1=not important, 5=very important), the policy development(4.46) scored highest then monitoring(4.42), planning(4.41), education & trainning(4.38), communication(4.35), evaluation(4.34) tool development (4.30), data collection & analysis(4.29), program development(4.22), consultation & support(4.22), accreditation(4.15), self development(4.05) and system design(3.98) in order. 3) There was a difference between the work performance and the perceived importance. The results showed the low performances in policy development, monitoring, education & trainning and evaluation which ranked high by the perceived importance and the high performances in accreditation, data collection & analysis, self development, communication and consultation & support which ranked middle to low by the perceived importance. 4) The reasons for low performances of QI Coordinators were the lack of clear assignment for the responsibility and allowed authority for work to QI Coordinators(30.8%), insufficient member of QI Coordinators(13.9%), lack of hospital director's interest(11.5%), low motivation of QI Coordinators (10.6%) and insufficient knowledge & experience of QI Coordinators (8.8%). Conclusion : Most works were perceived important by QI Coordinators, but there was a difference in the work performance. The works performed over 70% were related with accreditation, data collection & analysis, communication, planning and monitoring, on the other hand under 50% in performances were related with system design, program development, tool development and evaluation.

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Effectiveness of Learning Performances According to Financial Motivation of University Students

  • PARK, Young-Sool;KWON, Lee-Seung;CHOI, Eun-Mee
    • Asian Journal of Business Environment
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    • 제9권3호
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    • pp.27-38
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    • 2019
  • Purpose - The aim of this study is to explore the effectiveness in educational differences between students of the government's financial-funded groups and the non-financial-funded groups at a university in Korea. Research design, data, and methodology - The study was conducted using a survey tool of National Assessment for Student Engagement in Learning. In total, 334 participants were surveyed, of which 290 students were participants in economic support program and 44 were nonattendance program students. The general characteristics of all of the participants were investigated by frequency analysis. The analysis of participants' collective characteristics used independent t and f-test, and one-way ANOVA with IBM SPSS Statistics package program 22.0. Results - The number of participating students is higher than that of non-participating students in relation to in-activities of university immersion, but the number of participating students is lower than that of non-participating students in relation to in-quality of student support. However, there was no statistical significance. The confidence coefficient of the university-immersion and student support questionnaire is 0.860 and 0.913, respectively. Conclusions - There is no significant difference in the activities of university immersion and student support between students who participate in the economic support program and those who do not.

건강가정지원센터의 네트워크 특성이 사업성과에 미치는 영향 연구 (Effects of the Network Characteristics of Healthy Family Support Center on its Performance)

  • 최옥자;박현식
    • 가족자원경영과 정책
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    • 제17권4호
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    • pp.85-100
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    • 2013
  • The purposes of this study are to explore the effect of the network characteristics of Healthy Family Support Center on its performance, and also to investigate the mediating effect of the organizational properties on the performance. We used the data from 148 healthy family support centers in National Survey in Korea. The analytic sample for this study consists of 102 responses.(response rate=68.9%) Multivariate regression model estimated the effects of the network's structural, interactive and functional characteristics and the interaction between the network's characteristics and organizational properties on the performance The findings of this study demonstrate that healthy family support centers with higher closeness centrality and with better functional characteristics reported more performances. Moreover, Centers that are more independent in organizational properties showed higher performances. However, the findings did not show that the interaction between the network's characteristics and organizational properties mediates on the performance.

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태양광 에너지 예측을 위한 SVM 및 ANN 모델의 성능 비교 (Performance comparison of SVM and ANN models for solar energy prediction)

  • 정원석;정영화;박문규;이창교;서정욱
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2018년도 추계학술대회
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    • pp.626-628
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    • 2018
  • 본 논문에서 기상 데이터를 사용하여 태양광 에너지를 예측하기 위해 기계학습 모델인 SVM(Support Vector Machine)과 ANN(Artificial Neural Network)의 성능을 비교한다. 장 단파 복사선 평균, 강수량, 온도 등 15가지 종류의 기상 데이터를 사용하여 두 모델을 생성하고, 실험을 통해 최적의 SVM의 RBF(Radial Basis Function) 파라미터와 ANN의 은닉층과 노드 개수, 정규화 파라미터를 도출하였다. SVM과 ANN 모델의 성능을 비교하기 위한 지표로서 MAPE(Mean Absolute Percentage Error)와 MAE(Mean Absolute Error)를 사용하였다. 실험 결과 SVM 모델은 MAPE=21.11, MAE=2281417.65의 성능을 달성하였고 ANN은 MAPE=19.54, MAE=2155345.10776의 성능을 달성하였다.

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