• Journal of the Korean Institute of Gas
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• v.8 no.4 s.25
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• pp.70-76
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• 2004

This research was for the analysis of gas industries and 12 Hazard evaluation techniques for the industries, and present the selection guideline of the techniques using 6 factors affecting them. 4 indexes & consequences of incidents into 8 characteristics. Also, combining the indexes with the selection procedure in flowchart format could reduce improper techniques and present alternatives. Also, it is used as guidelines to get safety improvement plan to gas companies.

• The Journal of Economics, Marketing and Management
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• v.11 no.2
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.41 no.3
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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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• v.7 no.4
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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.

• Journal of Industrial Convergence
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• v.20 no.2
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• pp.1-9
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• 2022

As the need for improvement of transparency and fairness in the selection of national R&D projects has been continuously raised, we analyzed the impact on the evaluation selection results by evaluation indexes for The land transportation technology commercialization support project and searched for ways to improve indexes using the analysis results. As for the research data, it were applied as selection results of new R&D projects and evaluation indexes in two fields(SME innovation and start-up) in 2021. Logistic regression analysis is used for the influence of each evaluation indexes on the evaluation result, and for the regression model, evaluation indexes with low influence are removed in advance through artificial neural network multiple perceptron analysis to improve the reliability of the analysis results. As a result of the analysis, in the field of SME innovation, the influence of the evaluation index on the workforce planning was the lowest and the influence of the appropriateness of commercialization promotion plan was the highest. In the start-up field, the influence of the evaluation indexes for technology development suitability, marketability, and suitability for carrying out the project were estimated to be similar to each other, and the influence of the technology evaluation index was found to be the lowest. The analysis results of this thesis suggest the need for continuous improvement of selection and evaluation indexes, and by using the analysis results to select a fair R&D institution according to the selection of appropriate indexes, it will be possible to contribute to deriving excellent research results and fostering excellent companies in the field of land transportation.

• ETRI Journal
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• v.36 no.1
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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.

• Journal of the Korea Safety Management & Science
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• v.9 no.6
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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.

• Korean Journal of Exercise Nutrition
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• v.14 no.2
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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.

• International conference on construction engineering and project management
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• 2013.01a
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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.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.4
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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.