• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2001년도 봄 학술발표논문집 Vol.28 No.1 (B)
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• pp.427-429
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• 2001

지금까지 가상현실을 이용한 여러 가지 시스템들이 제안되어 왔다. 하지만 이러한 시스템들은 사용자에게 몰입감을 줄 수 있는 예측하기 힘든 다양한 상황을 제공하기보다는 미리 정해진 시나리오를 따라 고정된 형태의 흐름을 가지는 문제점이 있었다. 이를 해결하기 위해가상세계 내에서의 오브젝트의 행동이나 이벤트의 전개를 위한 여러 가지 방법들이 제안되어왔다. 하지만 이 방법들 역시 방대한 탐색 공간이나 한정된 범위내에서만 자율적인 움직임이 가능한 점 등의 문제점을 가지고 있다. 본 논문에서는 이를 해결하기 위하여 Causality에 기반한 이벤트의 전개모델을 제안한다. 이를 위해 본 논문은 먼저 frame구조를 이용하여 정형화한 Structured Causal Graph를 제안하고, 구성되어진 Structured Causal Graph를 이용하여 이벤트를 전개해나가는 방법을 제시한다.

• 한국시스템다이내믹스연구
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• 제3권2호
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• pp.69-91
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• 2002

This paper presents an analysis of the impact of the causal looping method to the Korean middle managers' decision-making processes. The sample included the observations of decisions made by 70 groups with 5 to 7 members each. The results showed that the causal looping method was a strong device to help Korean managers followed value-focused decision processes, as opposite to alternative-focuses ones. The lessons from this study suggest a direction for the development of the education method to improve group decision-making processes.

• 한국경영과학회지
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• 제19권1호
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• pp.17-40
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• 1994

The objectives of this paper are to apply fuzzy cognitive map (FCM)- related techniques to (1) extract causal knowledge from a specific problem-domain and (2) perform a series of causal analysis in complicated decision making area. We propose a set operation-based augmentation (SOBA) algorithm to combine multiple FCMs developed by multiple experts. Based on the SOBA knowledge acquisition algorithm, we can obtain a causal knowledge base fairly representing multiple experts' knowledge about a problem domain. The causal knowledge base built by SOBA algorithm can be described as a matrix form, guaranteeing mathematically compact operation compared with a production (if-then) knowledge base. We applied out method to stock market analysis problem whichis a typical of highly unstructured problems in OR/MS fields.

• 한국시스템다이내믹스연구
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• 제14권3호
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• pp.75-103
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• 2013

The purpose of this study is to use system dynamics to establish the relation among each variable through the construction process of Community Planning Model, and examine what changes policy scenarios per alternative cause in Community Planning through policy simulation of the constructed model. Therefore, this study extracted chief variables of Community Planning Projects through precedent researches related to Community Planning, and extracted variables were prepared as causal map to examine in what causal cycle feedback structure within Community Planning they can be explained. Next, Community Planning Model was constructed based on the prepared causal map. The model was verified by specialists' interviews and simulation of example areas. This study, which aimed to construct Community Planning Model using system dynamics, has a significance in that it prepared the foundation to provide useful methodology in monitoring the progress of project or establishing the plan of future Community Planning Projects.

• 한국지진공학회논문집
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• 제6권2호
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• pp.39-50
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• 2002

본 논문에서는 국내의 지진자료를 이용하여 지진특성을 추정하기 전에 적용할 수 있는 사전자료처리기법을 종합적으로 검토하였다. 사전처리 기법으로는 계기보정, 센서검교정상태 확인, 윈도우에 의한 스펙트럼 왜곡 최소화, non-causal ringing에 의한 초동 왜곡 보정 기법을 분석하였으며, 자료 선택시 주파수 영역의 S/N비 확인 및 포화된 자료의 사용가능성 여부를 제시하였다.

• 동아시아식생활학회지
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• 제17권1호
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• pp.136-142
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• 2007

This study measured the causal relationships among tourist-perceived sacrifice, service quality, service value, and behavioral intention of employee's service. A total of 224 questionnaires were completed. The equation model was used to measure the causal effect. The results demonstrated that the structural analysis result for the data was an excellent model fit. The influences of perceived value and service quality on service value were statistically significant. As expected, service quality and service value had significant effects on behavioral intention. Moreover, overall service quality played a mediating role in the relationship between perceived sacrifice and service value. Service value played a mediating role in the relationship between service quality and behavioral intention.

• International Journal of Advanced Culture Technology
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• 제8권4호
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• pp.161-166
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• 2020

The primary aim of this paper is to analyze the resultative adjunct clause, i.e., (thus/thereby/hence) ~ing participle and provide explicit syntactic, semantic and sociolinguistic explanation on the question what causes the cause-focused causal construction with resultative (thus/thereby/hence) ~ing participle in English. What comes first is either cause or effect clause. This study explores the recent style shift of causal constructions from the effect-focused pattern to the cause-focused pattern. In this study, we argue that the increasing number of the cause-focused main clause with a resultative ~ing participle clause shows the process of the style evolution improving speech/wring style in many respects including syntactic simplification, clarification of the sentence meaning with impact on the focused clauses, and improvement of the flow of speech/writing. The style shift found in the English resultative adjunct clauses, i.e., (thus/hence/thereby) ~ing participle constructions prove to be the style evolution from syntactic, semantic and sociolinguistic point of views.

• 한국건축시공학회:학술대회논문집
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• 한국건축시공학회 2022년도 봄 학술논문 발표대회
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• pp.85-86
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• 2022

Traditionally, the facility inspection was visually conducted by the managers, and consequently the result can be subjective because of different perspective and experience of them. To solve this problem, the studies on this topic has tried to integrate the UAS. However, it is still concerned to use in practice due to the lack of analysis of the performance factors affecting the UAS-based facility condition inspection. Hence, the purpose of this study is to identify the critical factors as well as their correlations by modeling causal loop diagram (CLD). A total of 20 variables were derived in four categorized groups, and the relationships were analyzed. Further study will develop a system dynamics (SD) model to simulate various scenarios based on stock-flow diagram through the defined relationships in this study.

• 무역학회지
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• 제46권5호
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• pp.115-130
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• 2021

The main purpose of this study is to analyze the causal relationship between import-export goods and transportation modes. To this end, five major commodity groups were selected from 2010 to 2018 such as Machinery and transport equipment (SITC 7), manufactured goods classified chiefly by material (SITC 6), chemicals and related products, n.e.s. (SITC 5), mineral, fuels, lubricants, and related materials (SITC 3), and miscellaneous manufactured articles (SITC 8). And using the panel VECM, the difference between transportation modes such as ports and airports was compared and analyzed through panel granger causality, Impulse response function, Forecasting error variance decomposition. As a result, it is confirmed that the causal relationship between major product groups and transportation modes showed different causal relationships depending on the characteristics of port and air transportation.

• Communications for Statistical Applications and Methods
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• 제31권1호
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• pp.155-178
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• 2024

Regression discontinuity (RD) design is one of the most widely used methods in causal inference for estimation of treatment effect when the treatment is created by a cutpoint from the covariate of interest. There has been little attention to RD design, although it provides a very useful tool for analysis of treatment effect for censored data. In this paper, we define the causal effect for survival function in RD design when the treatment is assigned deterministically by the covariate of interest. We propose estimators of this causal effect for survival data by using transformation, which leads unbiased estimator of the survival function with local linear regression. Simulation studies show the validity of our approach. We also illustrate our proposed method using the prostate, lung, colorectal and ovarian (PLCO) dataset.