• International Journal of Concrete Structures and Materials
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• 제5권2호
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• pp.97-111
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• 2011

Modeling creep of concrete has been one of the most challenging problems in concrete. Over the years, research has proven the significance of creep and its ability to influence structural behavior through loss of prestress, violation of serviceability limit states or stress redistribution. Because of this, interest in modeling and simulation of creep has grown significantly. A research program was planned to investigate the significance of different factors affecting creep of concrete. This research investigation is divided into two folds: first, an in-depth study of the RILEM creep database and development of a homogenous database that can be used for blind computational analysis. Second: developing a probabilistic Bayesian screening method that enables identifying the significance of the different factors affecting creep of concrete. The probabilistic analysis revealed a group of interacting parameters that seem to significantly influence creep of concrete.

• 한국정보시스템학회지:정보시스템연구
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• 제30권4호
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• pp.227-245
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• 2021

Purpose The purpose of this study is to examine the variables affecting user satisfaction through previous studies and to examine the differences between apps. Differences are based on factors that determine the quality of real estate service apps and derived by the topic modeling results. Design/methodology/approach This study conducts topic modeling to find factors affecting user satisfaction of real estate service apps using user reviews. Sentiment analysis is additionally conduct on the derived topics to examine the user responses. Findings Users give high sentiment scores for services that can manage factors such as usefulness of information, false sales, and hype. In addition, managing the basic services of app is an important factor influencing user satisfaction.

• 한국IT서비스학회지
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• 제15권3호
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• pp.157-171
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• 2016

As unemployment rates and concerns about turnover keep growing, the need for information is also increasing. In these situations, the job reviews which share information about the company catch people's attention because they are usually created by people who worked at the company. The development of SNS and mobile environments has led to an increase in the web services that provide job reviews. For example, Jobplanet is a job review service in Korea, and Glassdoor.com offers a similar service in the US. Despite this attention, however, research utilizing job reviews is insufficient. This paper asks whether there are differences in ratios of job satisfaction factors by industry, using LDA topic modeling and co-occurrence analysis to explore the differences. Through the results of LDA, we find that the ratios of job satisfaction factors are similar by industry. At the same time, the results of co-occurrence analysis show that the co-occurrence frequency of some job satisfaction factors appears high: pay and welfare, balance of work and life, company culture. We expect that the result of this research will be helpful in comparative analysis of job satisfaction factors by industry. Furthermore, in this paper we suggest how to use the job review data in organizational behavior research.

• 한국도로학회논문집
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• 제14권6호
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• pp.93-101
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• 2012

PURPOSES : This study is to develop ISM for potential risk factor in School Zone. METHODS : Based on the literature review, the Analytic Hierarchy Process (AHP) has been used most widely. However, it is difficult to apply in practice because the AHP results have the characteristics of the independence between each element and the interlayer can not explain the interrelationship. The Network Analysis Process (ANP) is possible to analyze the relationship between the elements and the network through the feedback. But, the reliability of the analysis fall because of complicated pair of comparison, also it is difficult to solve the super matrix. In this study, the complicated relationship between each element is inquired through the Interpretive Structural Modeling (ISM). RESULTS : The methodology of ISM is developed to remove the children's potential risk factors in school zone. CONCLUSIONS : It is possible to remove the children's potential risk factors from low level to high level step by step and improve safety. Through this, risk factors can be removed from the low-level, and upper-level will automatically improve.

• 한국안전학회지
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• 제36권3호
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• pp.60-65
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• 2021

Human error is often in part in the cause of accidents and the result of various factors in an organization. Accidents should be investigated to elucidate all causes. Therefore, to reduce accidents, it is necessary to identify which factors affect human error within the organization. In this study, five groups of influencing factors on human error were selected using previousresearch, and operational definitions were made based on them. In addition, a questionnaire for measuring latent variables by operational definition was developed as an observation variable, and responses were received from employees of chemical companies in Ulsan. Based on SEM (structural equation modeling) analysis, 1) confirmatory factor analysis of variables in the human error model, 2) reliability and validity of latent variables, 3) correlations among latent variables, 4) influencing coefficients among influence factors, and 5) the verification results of the paths that these influencing factors have on human error are introduced in this study.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 하계종합학술대회 논문집(3)
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• pp.43-46
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• 2000

In this paper, we propose the method to express various factors for software architecture modeling effectively using UML extension mechanism. Furthermore, we show usefulness of proposed method by presenting several modeling techniques and their examples.

• 한국인터넷방송통신학회논문지
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• 제23권3호
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• pp.185-191
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• 2023

변동성 가치에 대한 미래 예측을 분석하는 연구는 여러 분야에서 이루어지고 있다. 하지만 이러한 미래 가치분석은 각 분야의 연구결과를 통해 각 분야에 따른 변수가 너무 많아 예측결과의 정확도가 낮으며 결과에 영향을 미치는 객관적인 핵심영향요소를 찾아내는 데 어려움이 있음을 알 수 있었다. 특히 다양한 영향인자의 중요도에 대한 객관적인 기준이 마련되지 않아 연구자의 주관에 의지하여 핵심영향인자를 판단하여 적용하는 실정이다. 이에 여러 분야에서 객관적으로 적용할 수 있는 변동성 재화가치 예측에 영향을 미치는 핵심영향인자 추출을 위한 합리적인 Process 모델이 필요하게 되었다. 본 연구에서 총 7단계로 핵심영향인자 추출을 위한 Process 모델링을 제시 하였으며, 각 단계별로 핵심영향인자 추출을 위한 방법을 구체적으로 정의하였다. 또한, 제안된 모델링을 이용하여 원자재 분야의 주요 변동재화 중 Ni금속을 적용하여 Simulation을 한 결과 기존 방식에 의한 예측 값 0.872%, 본 연구 모델링을 적용한 예측 값 0.864%로 예측 결과 값이 모델에서 제시한 기준에 부합함을 확인 하였다.

• 한국병원경영학회지
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• 제20권1호
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• pp.53-64
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• 2015

Our objective was to evaluate differences in linear regression versus multilevel(cross-level interaction model) modeling for affecting factors lumbar discectomy. The data were used in 2011 patients with HIRA sample data. Total number of analysis is 3,641 patients and 248 hospitals. The results of research model showed that the type and location of the hospital-level factors were significant. However, all factors of patient-level were similar in the two models. Therefore, it requires the selection of an appropriate model for a more accurate analysis of the influencing factors in the daily medical charge.

• Smart Structures and Systems
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• 제22권5호
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• pp.575-586
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• 2018

Computational Building Information Modeling (BIM) is an intelligent 3D model-based process that provides architecture, engineering, and construction professionals the insight to plan, design, construct, and manage buildings and infrastructure more efficiently. This paper aims at using BIM in Hospitals configurations protection. Infrastructure projects are classified as huge structural projects taking advantage of many resources such as finance, materials, human labor, facilities and time. Immense expenses in infrastructure programs should be allocated to estimating the expected results of these arrangements in domestic economy. Hence, the significance of feasibility studies is inevitable in project construction, in this way the necessity in promoting the strategies and using global contemporary technologies in the process of construction maintenance cannot be neglected. This paper aims at using the building information modeling in covering Imam Khomeini Hospital's equipment. First, the relationship between hospital constructions maintenance and repairing, using the building information modeling, is demonstrated. Then, using library studies, the effective factors of constructions' repairing and maintenance were collected. Finally, the possibilities of adding these factors in Revit software, as one of the most applicable software within BIM is investigated and have been identified in some items, where either this software can enter or the software for supporting the repairing and maintenance phase lacks them. The results clearly indicated that the required graphical factors in construction information modeling can be identified and applied successfully.

• 대한간호학회지
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• 제42권5호
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• pp.699-708
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• 2012

Purpose: This study was designed to test structural equation modeling of the quality of life of pre-dialysis patients, in order to provide guidelines for the development of interventions and strategies to improve the quality of life of patients with Chronic Kidney Disease (CKD). Methods: Participants were patients who visited the nephrology outpatient department of a tertiary hospital located in Seoul. Data on demographic factors, social support, nutritional status, physical factors and biobehavioral factors and quality of life were collected between March 4 and March 31, 2011. Results: In the final analysis 208 patients were included. Of the patients 42% were in a malnourished state. Anxious or depressed patients accounted for 62.0%, 72.6%, respectively. Model fit indices for the hypothetical model were in good agreement with the recommended levels (GFI=.94 and CFI=.99). Quality of life in pre-dialysis patients with CKD was significantly affected by demographic factors, social support, nutritional status, physical factors and biobehavioral factors. Biobehavioral factors had the strongest and most direct influence on quality of life of patients with CKD. Conclusion: In order to improve the quality of life in pre-dialysis patients with CKD, comprehensive interventions are necessary to assess and manage biobehavioral factors, physical factors and nutritional status.