• Journal of Integrative Natural Science
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• v.4 no.1
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• pp.31-37
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• 2011

Various algorithms and system development are being required to support the advanced decision making of navigation information support system because of a serious loss of lives and property accidents by officer's error like as carelessness and decision faults. Much of researchers have introduced the techniques about the systems, but they hardly consider environmental factors. In this paper, We collect the context information in order to assess the risk, which is considered the various factor of the sailing ship, then extract the features of knowledge context, which is to apply the weight of correlation coefficients among data in context information. We decide the risk after the extract features through the classification and prediction of context information, and compare the value accuracy of proposed method in order to compare efficiency of the weighted value with the non-weighted value. As a result of experience, we know that the method of weight properties effectively reflect the marine environment because the weight accurate better than the non-weighted.

• Proceedings of the Korea Information Processing Society Conference
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• 2012.11a
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• pp.1452-1455
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• 2012

본 논문은 출시된 지능형 교통 기반으로 설계된 RoboCAR 운행제어 개발과 시험을 하고자 한다. 이를 위해 시스템 설계를 통해,Test Case 추출과 실제로 적용하여 구현된 소프트웨어를 시험에 목적을 둔다. 이 절차는 Use-Case Diagram 설계, Decision Factor 추출, 이 기반으로 Cause-Effect Diagram을 생성한다. Cause-Effect Diagram을 통해 Decision Table을 생성한다. 최종적으로 Decision Table을 기반으로 Test Case를 추출한다. 추출된 Test Case를 적용하여 시스템을 테스트 하였고, 설계와 구현이 동일하게 되었음을 검증하였다.

• Nuclear Engineering and Technology
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• v.53 no.1
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• pp.314-321
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• 2021

As Indonesia is rich in natural resources, nuclear power remains a low priority among energy alternatives. However, Indonesia needs to introduce nuclear power to improve the atmospheric environment and to support sustainable economic growth. This study conducted a two-stage survey of logit-probit and analytic hierarchy process to analyze the perception of Indonesian energy policymakers regarding the introduction of nuclear power, the potential for change, and key decision factors. The analysis confirms that the perception of nuclear power is positive and that the willingness to expand nuclear power can improve if negative conditions, such as underdeveloped technology level, foreign aid and assistance, and safety issues are addressed. In addition, it is confirmed that the policy makers consider political/social and environmental factors to be more important for decision-making. The results of this study can give inplications and be used as a key reference for Indonesia's nuclear power policy

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.1
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• pp.385-405
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• 2019

High Efficiency Video Coding (HEVC) enables significantly improved compression performance relative to existing standards. However, the advance also requires high computational complexity. To accelerate the intra prediction mode decision, a minimum risk Bayesian classification framework is introduced. The classifier selects a small number of candidate modes to be evaluated by a rate-distortion optimization process using the sum of absolute Hadamard transformed difference (SATD). Moreover, the proposed method provides a loss factor that is a good trade-off model between computational complexity and coding efficiency. Experimental results show that the proposed method achieves a 31.54% average reduction in the encoding run time with a negligible coding loss of 0.93% BD-rate relative to HEVC test model 16.6 for the Intra_Main common test condition.

• International conference on construction engineering and project management
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• 2013.01a
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• pp.497-501
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• 2013

An important decision-making element for the success of housing redevelopment projects is a prediction of the profitability of redevelopment. Risk factors influencing profitability were deduced through a review of the literature about profitability and a risk analysis developed by a survey of maintenance projects. In addition, a profitability prediction depending on the analysis of risk factors is necessary to judge the business feasibility of a project in the planning stages. A profitability prediction model of management and disposal method, which is calculated by proportional rate and which helps estimate contributions to profitability, is proposed to prevent difficulties in business development. The proposed model has the potential to prevent interruptions, reduce the length of projects, generate cost savings, and enable rational decision-making during the project period by allowing a judgment of profitability at the planning stage.

• Journal of applied mathematics & informatics
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• v.41 no.5
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• pp.973-988
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• 2023

In real-life scenarios, we may have to deal with real numbers or numbers in intervals or a combination of both to solve multi-criteria decision-making (MCDM) problems. Also, we may come across a situation where we must combine this interval and actual number membership values into a single real number. The most significant factor in combining these membership values into a single value is by using aggregation operators or scoring algorithms. To overcome such a situation, we suggest the cubic hypersoft set (CHSS) concept as a workaround. Ultimately, this makes it simple for the decision-maker to obtain information without misconceptions. The primary aim of this study is to establish some operational laws for the cubic hypersoft set, present the fundamental properties of aggregation operators and propose an algorithm by using the technique of order of preference by similarity to the ideal solution (TOPSIS) technique based on correlation coefficients to analyze the stress-coping skills of workers.

• Journal of the Korean Home Economics Association
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• v.46 no.6
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• pp.49-59
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• 2008

The purpose of this study was to examine the role of consumers' self-image and pursued-image of clothes on the clothing purchase decision making according to the location. Data were obtained from a questionnaire filled out by 575 women living in Seoul and Jechon. For data comparative analysis, paired t-test, t-test, factor analysis and multiple regression analysis were used. The results of this study are as follows: 1. There were significant differences in self-image and pursued-image in terms of clothing purchases between women who live in Seoul and Jechon residents. 2. Demographic variables influenced to the self-image and pursued-image of clothes factor. Among them, size of the city was the most important factor which influence to the clothing purchase behavior. 3. Self-image, pursued-image of clothes, problem recognition and evaluative criteria factors significantly differed between Seoul and Jechon residents. In two cities, problem recognition factor which was arisen by external stimulus and all of the evaluative criteria factors showed significant differences. 4. When the cities were partitioned by size(large and small city), the influence of self-image and pursued-image of clothes on the clothing purchase behavior showed different phases. Generally, self image and pursued-image of clothes were more important to various problem recognition and evaluative criteria factors in large city(i.e. Seoul) than in small city(i.e. Jechon). However economic rational factor was the exception.

• Journal of Environmental Policy
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• v.11 no.3
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• pp.3-24
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• 2012

Many ecosystems in Korea are currently managed by government organizations. Thus, public managers' decision-making has great influence on the management of ecosystems in Korea, and their decision-making could influence the matter of whether the ecosystems of Korea are managed effectively. This paper regards the goal of management of ecosystems as securing the sustainablilty of target ecosystems, and investigates public managers' decision-making and their psychological attitude on the management of ecosystems. Basically, managerial activities on ecosystems have uncertainties and usually public managers utilize the knowledge of law, science, intergovernmental relations, and local governance as their references for decision-making. To elucidate public managers' managerial decision-making on ecosystems, this paper adopts some psychological theories in explaining the judgment of human beings under uncertainties. Effective ecosystem management by public managers can be judged by how public managers adopt and utilize all of the above mentioned four kinds of knowledge on ecosystem management. An important factor in order to let them utilize the four kinds of knowledge is policy support. Therefore, as conclusion, this paper recommends some relevant policy measures that can support the ecosystem management of public managers.

• Journal of Engineering Education Research
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• v.13 no.4
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• pp.51-59
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• 2010

In order to manage the lectures efficiently in the university and improve the educational outcome, the process is needed that make diagnosis of the present educational outcome of each classes on a lecture and find factors of educational outcome. In most studies for finding the factors of the efficient lecture, statistical methods such as association analysis, regression analysis are used usually, and recently decision tree analysis is employed, too. The decision tree analysis have the merits that is easy to understand a result model, and to be easy to apply for the decision making, but have the weaknesses that is not strong for characteristic of input data such as multicollinearity. This paper indicates the weaknesses of decision tree analysis, and suggests the experimental solution using multiple decision tree algorithm to supplement these problems. The experimental result shows that the suggested method is more effective in finding the reliable factors of the educational outcome.

• Journal of Digital Convergence
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• v.19 no.7
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• pp.113-127
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• 2021

This study classifies review attributes into ratings, number of comments and image information in online shopping mall to verify their impact on brand attitude and purchase decision and e-WOM intention. Use SPSS 23.0 for frequency analysis, factor analysis and regression analysis. The results showed that review attributes have a positive effect on brand attitudes, purchase decision and e-WOM intention, but the number of comments has not affect on purchase decision. Brand attitude has a positive effect on purchase decision and e-WOM intention. Brand attitude has media effect in the relationship between ratings, image information and purchase decision, and in the relationship between review attributes and e-WOM intention. As these results, consumers don't always like to have a lot of comments. and should allow to focus on high ratings and photo reviews as much as possible when writing reviews.