• 한국가스학회지
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• 제8권4호
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• pp.70-76
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• 2004

본 연구에서는 가스 산업 시설에서의 적합한 잠재위험성 확인 기법을 선정하기 위해 가스 산업 시설 및 12가지의 기법들을 분석하고, 기법 선정에 영향을 미치는 6가지의 요소를 적용하여 기법 선정에 대한 guideline을 제시하였다. 합리적인 기법의 선정을 위해서 선정에 영향을 미치는 요소들과 각 공정 또는 설비별 사고 발생의 원인과 결과를 8가지의 특성으로 분류하여 4가지의 index를 작성하였다. 또한, flowchart 형식의 의사 결정 과정에 작성된 index를 대입하여 사용이 부적합한 기법들을 소거하고, 최적의 기법 사용에 대한 대안을 제시할 수 있도록 하였다. 또한, 규제요건 비대상 사업장의 자체적 내부 안전성 향상을 위한 guideline으로 활용될 수 있을 것이다.

• 융합경영연구
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• 제11권2호
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• pp.57-68
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• 2023

Purpose: This study aims to improve the evaluation system for selecting supportive housing applicants, addressing inconsistency, lack of health and care evaluation, and the need for a quantitative evaluation tool. Proposed improvements include a consistent evaluation index and items for each resident type, selecting suitable residents for independent living and community integration. Research design, data and methodology: This study analyzed the supportive housing selection checklist provided by the Seoul Metropolitan Government, the supportive housing ordinance, and the SH Corporation's operation guidelines. Results: Study finds current supportive housing tenant selection system lacks consistency and proposes improvements. The same terms should be used for the same evaluation items, health and care evaluation items should be added for all tenants, and a quantitative evaluation tool should be used. Consistent evaluation index and items should be created for each resident type in the same evaluation area. The aim is to select suitable tenants with potential for independent living and community integration. Conclusions: This study improves the evaluation system for selecting supportive housing applicants by addressing inconsistencies and adding essential evaluation items related to health and care. While the study is significant, future research should focus on developing quantitative evaluation tools for all detailed items.

• 한국경영과학회지
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• 제41권3호
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• pp.1-21
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• 2016

The Markowitz portfolio selection model uses estimators to deduce input parameters. However, the estimation errors of input parameters negatively influence the performance of portfolios. Therefore, this model cannot be reliably applied to real-world investments. To overcome this problem, we suggest an algorithm that can exclude stocks with large estimation error from the portfolio by applying a tracking signal to the Markowitz portfolio selection model. By calculating the tracking signal of each stock, we can monitor whether unexpected departures occur on the outcomes of the forecasts on rate of returns. Thereafter, unreliable stocks are removed. By using this approach, portfolios can comprise relatively reliable stocks that have comparatively small estimation errors. To evaluate the performance of the proposed approach, a 10-year investment experiment was conducted using historical stock returns data from 6 different stock markets around the world. Performance was assessed and compared by the Markowitz portfolio selection model with additional constraints and other benchmarks such as minimum variance portfolio and the index of each stock market. Results showed that a portfolio using the proposed approach exhibited a better Sharpe ratio and rate of return than other benchmarks.

• Journal of Positioning, Navigation, and Timing
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• 제7권4호
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• pp.255-265
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• 2018

In this paper, the positioning performance index is proposed. The proposed index is used to find satellites that degrade positioning performance to improve the positioning performance. To do this, the proposed index is calculated using the code measurement quality and the DOP. And, through the experiment, the effectiveness of the proposed index is confirmed. In the experiment, the quality of the code measurements is analyzed, and the effectiveness of the proposed index is confirmed by comparing with the result of the precise float solution. Finally, it is shown that the precise float solution performance is improved by using the proposed index.

• 산업융합연구
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• 제20권2호
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• pp.1-9
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• 2022

국가연구개발사업 연구개발과제 선정에 대한 투명성과 공정성에 대한 개선 필요성이 지속적으로 제기됨에 따라, 국토교통기술사업화지원 사업을 대상으로 선정평가 지표별 평가 결과에 미치는 영향력을 분석하고 분석결과를 활용한 지표 개선 방안을 모색하였다. 연구자료는 2021년도 국토교통기술사업화지원 사업 중소기업 혁신, 스타트업 2개 분야의 신규 연구개발과제의 선정평가 결과 자료와 평가지표를 적용하였으며, 로지스틱 회귀분석을 이용하여 평가지표별 영향력을 분석하였다. 회귀모형은 분석결과의 신뢰성 제고를 위해 인공신경망 다중 퍼셉트론 분석을 수행하여 영향력이 낮은 평가지표를 사전에 제거하였다. 분석결과, 중소기업 혁신 분야는 인력운영계획에 대한 평가지표의 영향력이 가장 낮고 사업화 추진계획의 적절성 지표의 영향력이 가장 높게 나타났다. 스타트업 분야는 기술개발 적합성, 시장성, 사업수행 적합성 평가지표의 영향력이 상호 유사하게 추정되었으며, 기술성 평가지표의 영향력이 가장 낮게 나타났다. 본 논문의 분석결과는 지속적인 선정평가 지표의 개선 필요성을 시사하며, 분석결과를 활용한 타당한 평가지표 선정 및 공정한 연구개발기관 선정을 통해 국토교통 분야 우수 연구성과 도출 및 우수 기업 육성에 기여할 수 있을 것으로 사료된다.

• ETRI Journal
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• 제36권1호
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• pp.179-182
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• 2014

This letter presents a very simple yet very effective solution for fast reference frame (RF) selection in H.264/AVC. By efficiently making use of the correlation between the best RF indices in various inter modes, the proposed method significantly reduces the number of RFs to be examined at the expense of a very small miss rate. Simulation results show that the proposed method not only improves upon the coding performance of conventional methods but also reduces the encoding time significantly.

• 대한안전경영과학회지
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• 제9권6호
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• pp.31-38
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• 2007

The construction industry by its nature retains higher level of danger where the smallest of error may lead to a major catastrophe endangering many workers and public safety as well as provoke social criticism. With the aid of quantitative statistical data on safety-related calamity analyzed till this day, this paper handled in depth the analysis of diseases other than the accidents, and selected new variable indexes that influence the indirect sections of calamity that are mostly concealed and incorporated them in a new model. For the factor selection of new calamity evaluation model, FRAT(Frequency, Recency, Amount, Type of merchandise/service)technique of customer-related management in marketing was applied, and as for the significance of each factor in the weight selection of variables. Consequently, considering the graveness of the FRAT itself through safety management experts, the related researches must be expanded.

• 운동영양학회지
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• 제14권2호
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• pp.57-61
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• 2010

A journal listed by the Thompson Reuters for Scientific Citation Index Expended(SCIE) is important to be recognized internationally. There is no domestic journal related the exercise or sports discipline in spite of some domestic journals related other disciplines are recently listed in the SCIE. To be listed our Korean Journal of Exercise Nutrition(KJEN) on the SCIE, it is important to satisfy the criteria of SCIE. The criteria for journal evaluation and selection by Thompson Reuters include four main aspects. Evaluation of basic journal standards include timeliness of publication, international editorial conventions, bibliographic information in English and application of the peer review process. The editorial contents, international diversity and citation analysis are also evaluated. This study will propose the key points for listing the KJEN at SCIE journal.

• 국제학술발표논문집
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• The 5th International Conference on Construction Engineering and Project Management
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• pp.507-508
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• 2013

International Roughness Index (IRI) has been widely used by state DOTs to quantify pavement smoothness. When pavement condition falls below certain IRI thresholds, corresponding pavement maintenance treatments should be considered for application. Selection of appropriate IRI thresholds is essential to tactical allocation of limited resources to improve the conditions of states' roadway systems. This selection process is often challenging, however, because IRI thresholds are largely determined by Perceived Ride Quality (PRQ), and PRQ differs in each state. In this paper, a framework is proposed to address this problem. Passenger raters will be randomly selected from predetermined geographic locations, and their PRQ ratings collected. Taking this perceived ride data, along with other data collected, a statistical analysis will be conducted to establish the relationship between measured IRI values and PRQ. Appropriate IRI thresholds will then be determined. Once this framework is implemented, state DOTs could make informative maintenance decisions, which are expected to greatly enhance the public perception of pavement conditions in today's challenging economy.

• 디지털산업정보학회논문지
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• 제19권4호
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• pp.1-11
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• 2023

Clustering analysis is used in various fields including customer segmentation and clustering methods such as k-means are actively applied in the credit card customer segmentation. In this paper, we summarized the input features selection method of k-means clustering for the case of the credit card customer segmentation problem, and evaluated its feasibility through the analysis results. By using the label values of k-means clustering results as target features of a decision tree classification, we composed a method for prioritizing input features using the information gain of the branch. It is not easy to determine effectiveness with the clustering effectiveness index, but in the case of the CH index, cluster effectiveness is improved evidently in the method presented in this paper compared to the case of randomly determining priorities. The suggested method can be used for effectiveness of actively used clustering analysis including k-means method.