• 산업경영시스템학회지
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• 제26권4호
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• pp.31-41
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• 2003

This paper deals with a cell formation problem for a set of m-machines and n-processing parts. Generally, a cell formation problem is known as NP-completeness. Hence the cell formation problem with multiple objectives is more difficult than single objective problem. The paper considers multiple objectives; minimize number of intercell movements, minimize intracell workload variation and minimize intercell workload variation. We propose a multiple objective genetic algorithms(MOGA) resolving the mentioned three objectives. The MOGA procedure adopted Pareto optimal solution for selection method for next generation and the concept of Euclidean distance from the ideal and negative ideal solution for fitness test of a individual. As we consider several weights, decision maker will be reflected his consideration by adjusting high weights for important objective. A numerical example is given for a comparative analysis with the results of other research.

• 한국통신학회논문지
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• 제34권2C호
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• pp.200-208
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• 2009

H.264/AVC의 매크로블록 단위의 비트율 제어 방법은 부적당한 양자화 파라미터 할당으로 인해 한 프레임에 할당된 목표 비트가 일찍 고갈되곤 하는 문제가 있다. 이 경우 잔여 매크로블록들을 부호화 하기 위해 제한 범위내의 가장 큰 양자화 파라미터가 사용되고 화질 저하로 이어진다. 또한 양자화 파라미터의 할당을 위해 사용되는 헤더 비트량 예측도 이전 프레임과 현재프레임의 부호화된 매크로블록들의 헤더 비트량의 평균으로 구해진다. 따라서 실제 발생하는 헤더 비트량과 오차가 크다. 본 논문에서는 현재 프레임에서 부호화 도중 발생하는 조기 목표 비트 고갈을 막기 위해 이전 프레임들에서 음수 목표 비트를 갖는 매크로블록의 수를 이용한 적응적 양자화 파라미터 결정 방법과 정확한 양자화 파라미터 결정을 위해 향상된 헤더 비트량 예측 방법을 제시한다.

• 한국안전학회지
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• 제27권2호
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• pp.111-116
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• 2012

This study deals with the traffic accidents of circular intersections in Korea. The purposes are to comparatively analyze the characteristics by operational type, and to develop the models using the data of 82 intersections. In pursuing the above, this study gives particular emphasis to modeling such the accidents as the roundabout and rotary in urban area. The main results analyzed are as follows. First, the null hypotheses that the number of accidents are the same in both the urban and rural intersections, and roundabout and rotary in urban area, were analyzed to be rejected. Second, 3 accident models were developed, which were all statistically significant. The independent variables used in the above models are the ADT, number of approach lane, bus stop, parking facilities, and others. This study could be expected to give some implications to the traffic safety policy decision-making.

• 동아시아식생활학회지
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• 제18권2호
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• pp.242-252
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• 2008

The objective of this study was to suggest a new efficiency measurement indicator for evaluating the menu management efficiency of decision making units(DMUs) in contract-foodservice operations and to determine the relationship between the DEA(data envelopment analysis) menu efficiency score and menu factors. The results of applying DEA revealed relatively efficient types of service and frequency of meals. The efficient service was shown as a self-service type that operates Monday to Saturday. The considered menu factors included meal price, food cost per meal, meal counts, number of menu items, use of favorite menu use, forecasting error, accuracy of ordering, ratio of inventory, ratio of food loss, use of processed foods and use of prepared vegetables are considered. There were significant correlations between the DEA score and meal price, meal counts, number of menu items, ratio of food loss, accuracy of ordering and use of processed foods respectively. According to the regression results, menu price had a positive influence on the DEA menu efficiency score, and food cost per meal and the use of prepared foods had negative influences respectively.

• Asian Pacific Journal of Cancer Prevention
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• 제17권11호
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• pp.4913-4916
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• 2016

Objective: As a source of information, medical data can feature hidden relationships. However, the high volume of datasets and complexity of decision-making in medicine introduce difficulties for analysis and interpretation and processing steps may be needed before the data can be used by clinicians in their work. This study focused on the use of Bayesian models with different numbers of nodes to aid clinicians in breast cancer risk estimation. Methods: Bayesian networks (BNs) with a retrospectively collected dataset including mammographic details, risk factor exposure, and clinical findings was assessed for prediction of the probability of breast cancer in individual patients. Area under the receiver-operating characteristic curve (AUC), accuracy, sensitivity, specificity, and positive and negative predictive values were used to evaluate discriminative performance. Result: A network incorporating selected features performed better (AUC = 0.94) than that incorporating all the features (AUC = 0.93). The results revealed no significant difference among 3 models regarding performance indices at the 5% significance level. Conclusion: BNs could effectively discriminate malignant from benign abnormalities and accurately predict the risk of breast cancer in individuals. Moreover, the overall performance of the 9-node BN was better, and due to the lower number of nodes it might be more readily be applied in clinical settings.

• 한국심리학회지 : 문화 및 사회문제
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• 제21권1호
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• pp.67-96
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• 2015

본 연구의 목적은 한 개인이 내린 윤리적 의사결정이 개인중심 성향이나 집단중심 성향과 같은 개인의 문화성향과 상호작용하는지를 분석하는데 있다. 이를 위해 연구 1(N=92)에서는 개인의 문화성향에 따라 다수의 이익이 부각되거나 소수의 희생이 강조되는 상황에서 윤리적 의사결정의 차이가 나타나는지를 비교하였다. 그 결과 다수의 이익이 부각되는 상황에서는 공리주의적 입장에 대한 선호가 더 컸고, 소수의 희생이 강조되는 상황에서는 의무론적 입장에 대한 선호가 더 컸다. 또한 문화성향에 따른 도덕판단 기준의 중요성을 평정하게 했을 때, 개인중심성향에서는 위해와 공정의 기준을, 집단중심성향에서는 위해, 내 집단, 공정과 권위를 모두 도덕판단의 중요한 기준으로 인식하였다. 연구 2(N=30)에서는 개인 또는 집단을 어휘판단과제를 통해 점화시킨 후, 윤리적 의사결정의 과정을 마우스추적기법을 사용하여 분석하였다. 도덕판단에서 '네'와 '아니오'의 최종적 반응으로 이어지는 경로를 마우스궤적으로 분석한 결과, 소수의 희생이 부각되면 개인점화조건에서는 집단점화조건에 비해 마우스편차와 X축 방향전환횟수가 더 컸다. 또한 내집단과 연관된 행동을 판단할 때, 개인점화조건에서는 집단점화조건보다 마우스편차가 더 큰 경향성이 나타났다. 마우스편차의 증가는 자동적인 정서의 과정을 통제하면서, 다른 대안적인 응답을 동시에 고려하는 사고과정임을 생각할 때, 이 결과는 문화성향과 갈등상황에 따라 도덕판단의 과정이 달라질 가능성을 시사한다.

• 한국IT서비스학회지
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• 제21권4호
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• pp.1-26
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• 2022

Recently, the number of cases of purchasing food online has been increased, especially in the open market. Therefore, we examined the characteristics of status quo bias and switching costs in the open market. Also, in this study, the causal relationship between the characteristics of status quo bias and switching costs, switching costs and switching intention in the open market was investigated. The analysis result consists of four parts as follows. First, in the open market, rational decision making, which belongs to the characteristics of status quo bias, was found to have a positive (+) effect on time switching cost among switching costs, but did not have a positive (+) effect on economic and psychological switching cost. Second, cognitive misperceptions was consistent with the assumption that it have a positive (+) effect on all of the economic, time, and psychological switching cost, which are switching costs in the open market. Third, psychological commitment was found to have a positive (+) effect on economic and time switching cost among switching costs, but did not have a positive (+) effect on psychological switching cost. Fourth, psychological switching cost, which belongs to switching costs in the open market, was found to have a negative (-) effect like the hypothesis set in switching intention. However, it was found that economic and time switching cost did not have a negative (-) effect on switching intention. This study subdivided the switching costs into three dimensions and compared the degree of influence on the switching intention, and the degree of influence was different for each dimension. Therefore, it was found that when switching from the existing open market to the new open market, it is not possible to simply judge that the switching costs directly has a negative (-) effect on the switching intention or does not.

• Journal of Korea Trade
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• 제24권7호
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

• 유통과학연구
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• 제14권3호
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• pp.85-91
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• 2016

Purpose - Prior research has suggested that consumers typically prefer to have a larger number of options. However, preference of assortment size may depend on how depleted resources in consumers' mind are. Reduced capacity for self-regulation by resource depletion makes people rely on more intuitive and less effortful decision processing. When they are mentally depleted, people are likely to focus on the choice difficulty from large assortment, which leads to preference for the small assortment when they make a decision. It could be an important question potentially how being in a depleted mode through effortful self-regulation will influence on the evaluation of assortment size. To answer this questioner, we hypothesized that being engaged in self-regulation, as compared with not being engaged in self-regulation, will influence on the evaluation of product assortment size such as attractiveness, difficulty of choice, and anticipated regret. Research design, data, and methodology - In this study, we first manipulated self-regulatory resource availability using a self-regulation task (i.e., instructing participants to solve Sudoku puzzle vs. to solve diagram cube by filling any diagrams that they prefer into cube instead of number) and asked to indicate the difficulty of the tasks available to them ("How much difficulty did you feel when you complete the task?") Next, participants were asked to imagine that they were planning to buy a laptop at one of the two stores (small assortment: 6 options vs. large assortment: 30 options), both offering good quality of products. After reading the product descriptions, participants were instructed to consider all the information and choose a store that they would like to shop. Finally we measured the choice difficulty, evaluation of product assortments, and anticipated regret on a 7-point scale. We conducted two-way ANOVA in testing the main hypothesis that depleted consumers will show poorer subsequent self-control than non-depleted consumers when they make a decision in large assortment. Results - Compared with non-depleted participants, depleted participants showed the bigger difference from the degree of choice difficulty and product attractiveness between large and small assortments, but the result revealed only a significant interaction effect of resource depletion and assortment size on choice difficulty. Also depleted participants showed the smaller difference from the degree of anticipated regret between large and small assortments than non-depleted participants. Conclusion - Depleted individuals by a prior task are relatively effortless and intuitive form of choosing products so that they try to avoid making effortful trade-offs among choice difficulty such as large assortment, compare with non-depleted individuals. However, for anticipated regret, non-depleted individuals in small assortment anticipate more regret by excluding or at least restricting the possibility of buying attractive items or another kind of potential items than depleted individuals, regardless less choice difficulty in small option. To sum up, it is important to note that individuals are influenced by self-regulatory resources and their self-regulatory conditions contribute to the overall positive or negative impact of product assortment on choice.

• 디지털융복합연구
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• 제20권3호
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• pp.19-26
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• 2022

본 연구는 중국 <인민일보>의 한국 관련 기사에 대한 내용분석을 통해 한국의 국가 이미지가 어떻게 구축되고 있는가를 알아보는데 목적을 두고 있다. 연구대상은 2016년부터 2020년까지 <인민일보>에 게재된 한국 관련 기사 253건이다. 내용분석 방법을 이용해 기사 건수, 지면, 출처, 주제, 보도성향 등 5가지 항목에서 한국 관련 기사를 살펴보았다. 연구결과에 따르면, <인민일보>의 한국 관련 기사 건수는 2016년 이후 감소세를 보였고, 기사 주제는 정치, 사회 분야가 많았다. 2016년과 2017년에는 한국의 사드 배치 결정으로 인해 군사 분야 기사가 다수 게재되었고, 군사분야 기사에서만 부정적인 성향의 기사가 있었다. 대다수의 <인민일보> 한국 관련 기사는 한국을 긍정적으로 혹은 객관적으로 묘사하고 있음을 알 수 있었다. 이런 점으로 볼 때, <인민일보>는 긍정적인 한국의 국가 이미지를 구축하고 있음을 알 수 있다.