• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.163-169
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• 2022

This study is a one group pretest-posttest design study to confirm changes in career choice commitment, career decision-making self-efficacy, and career maturity before and after high school students participate in the Gyeonggi-do health cluster curriculum. The study was conducted on 47 second grade high school students who participated in health clusters of 3 high schools in Gyeonggi-do. The study was conducted from March 8, 2021 to December 29, 2021, and data collection was conducted through a self-reported questionnaire. Data were analyzed using SPSS 22.0 with frequency and percentage, mean and standard deviation, and paired t-test. As a result of the study, high school students who participated in the health cluster curriculum improved their career choice commitment(t=-9.01, p<.001), career decision-making self-efficacy(t=-8.45, p<.001), and career maturity(t=-3.63, p=<.002) statistically significantly after participation. Through the results of this study, a standardized program of the health cluster curriculum that can improve the level of career decision-making of high school students should be developed.

• Journal of the Korea Safety Management & Science
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• v.14 no.3
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• pp.151-158
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• 2012

The objective of this paper is to propose a method of how to perform risk assessment in the early stage of defense research and development for the acquisition of weapon systems. An advanced method for risk assessment and its associated objective functions are developed first based on the concept of systems engineering. The developed method is then applied to carry out the analysis of alternatives in the trade-off environments. As a case study, the multi-purpose training ship is considered, where it is performed using the notions of technology readiness levels, degrees of difficulty, and technology need values to facilitate design space visualization and decision maker interaction. It is noted that decision makers can benefit from our approach as an improved risk assessment method in the context of multi-criteria decision making.

• Journal of Digital Contents Society
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• v.16 no.5
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• pp.671-680
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• 2015

The Joint Bayesian[1] method was published in 2012. Since then, it has been used for binary classification in almost all state-of-the-art face recognition methods. However, no improved methods have been published so far except 2D-JB[2]. In this paper we propose an improved version of the JB method that considers the features of both the given face image and its mirror image. In pattern classification, it is very likely to make a mistake when the value of the decision function is close to the decision boundary or the threshold. By making the value of the decision function far from the decision boundary, the proposed method reduces the errors. The experimental results show that the proposed method outperforms the JB and 2D-JB methods by more than 1% in the challenging LFW DB. Many state-of-the-art methods required tons of training data to improve 1% in the LFW DB, but the proposed method can make it in an easy way.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.46 no.1
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• pp.15-22
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• 2023

An Ant Colony Optimization Algorithm(ACO) is one of the frequently used algorithms to solve the Traveling Salesman Problem(TSP). Since the ACO searches for the optimal value by updating the pheromone, it is difficult to consider the distance between the nodes and other variables other than the amount of the pheromone. In this study, fuzzy logic is added to ACO, which can help in making decision with multiple variables. The improved algorithm improves computation complexity and increases computation time when other variables besides distance and pheromone are added. Therefore, using the algorithm improved by the fuzzy logic, it is possible to solve TSP with many variables accurately and quickly. Existing ACO have been applied only to pheromone as a criterion for decision making, and other variables are excluded. However, when applying the fuzzy logic, it is possible to apply the algorithm to various situations because it is easy to judge which way is safe and fast by not only searching for the road but also adding other variables such as accident risk and road congestion. Adding a variable to an existing algorithm, it takes a long time to calculate each corresponding variable. However, when the improved algorithm is used, the result of calculating the fuzzy logic reduces the computation time to obtain the optimum value.

• Korean Management Science Review
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• v.30 no.2
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• pp.117-132
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• 2013

The objective of this paper is to provide an improved technology appraisal model, which considers a variety of macroeconomic variables such as consumer price index and producer price index. The improved model was built using cross correlation analysis and logistic regression analysis. The AUROC analysis showed that goodness-of-fit of the proposed model turned out to be improved than that of the existing model. The model proposed in the paper would be helpful for making a reasonable investments and financing decision, lessening the default rates by systematic risk management, and enhancing the technology commercialization capabilities.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.6
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• pp.1595-1606
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• 2015

Risk analysis is utilized in devising measures to manage information security risk to an acceptable level. In this risk management decision-making, the visualization of risk is important. However, the pre-existing risk visualization method is limited in visualizing risk factors three-dimensionally. In this paper, we propose an improved risk visualization method which can facilitate the identification of risk from the perspective of confidentiality, integrity, and availability respectively or synthetically. The proposed method is applied to an enterprise's risk analysis in order to verify how effective it is. We argue that through the proposed method risk levels can be expressed three-dimensionally, which can be used effectively for information security decision-making process for internal controls.

• Korean Journal of Construction Engineering and Management
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• v.2 no.1 s.5
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• pp.88-97
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• 2001

The Internet, the main issue of a new millennium, is being researched vitally for the progress of the construction industry, and the construction industry is considered to be led into a high-value added state-of-arts technology industry through CALS. Even if many construction companies gradually widen the use of the Internet for various purposes such as an electronic bidding system and an e-commerce system, the companies are still demanded to use the Internet more broadly and practically. Hence, the need for a tool for fast decision making and an effective construction management has risen. The PRIMA system has been developed specifically focused on meeting with those recent changes of the construction industry. This system is composed of three parts. Those are Just In Time(JIT) management, integrated application of man power${\cdot}$safety${\cdot}$work management and decision making process based on real-time information in the Internet. The usefulness of the PRIMA system has already been proved in a super-scale construction project. As the Internet environment get improved the use of the tool will be spread out gradually for many construction projects, regardless their size and location.

• Journal of the Korean Institute of Landscape Architecture
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• v.39 no.1
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• pp.65-74
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• 2011

To establish governance, which is rising as the new urban management system, it is significant to prepare Good-Local governance model that is proper to regional conditions and characteristics. This study analyzes changes in influence of governance participants appeared during the process in ecological park in Chungju Won-heung, using new methodology comparing ideal form and real condition regarding the influence of decision making, which is the key factor of governance. The result of this study showed that influence in participation of governance decision making improved gradually and this developed as Good-Local governance decision making by developing consultation regarding the new regional issue when it comes to operation and management. For further study, general model needs to be established through applying and analyzing suggested analysis method to various governance cases to evaluate the level of influence, which is the key component.

• Proceedings of the Society of Korea Industrial and System Engineering Conference
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• 2002.05a
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• pp.177-187
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• 2002

In this paper, we consider a multi-factor, multi-cause decision making problem of supply chain. And we show how to measure the operational efficiency of the components in supply chain and also how to improve the efficiency of each component and whole supply chain. As a methodology, the data envelopment analysis (DEA) is adopted to measure the efficiency by considering weight factors such as flexibility, information sharing, logistics level, etc. The proposed algorithm allows whole supply chain to have the improved efficiency rate.

• International Journal of Fuzzy Logic and Intelligent Systems
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• v.16 no.4
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• pp.308-317
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• 2016

Multiple evidences based decision making is an important functionality for computers and robots. To combine multiple evidences, mathematical theory of evidence has been developed, and it involves the most vital part called Dempster's rule of combination. The rule is used for combining multiple evidences. However, the combined result gives a counterintuitive conclusion when highly conflicting evidences exist. In particular, when we obtain two different sources of evidence for a single hypothesis, only one of the sources may contain evidence. In this paper, we introduce a modified combination rule based on the partial conflict measurement by using an absolute difference between two evidences' basic probability numbers. The basic probability number is described in details in Section 2 "Mathematical Theory of Evidence". As a result, the proposed combination rule outperforms Dempster's rule of combination. More precisely, the modified combination rule provides a reasonable conclusion when combining highly conflicting evidences and shows similar results with Dempster's rule of combination in the case of the both sources of evidence are not conflicting. In addition, when obtained evidences contain multiple hypotheses, our proposed combination rule shows more logically acceptable results in compared with the results of Dempster's rule.