• Proceedings of the KAIS Fall Conference
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• 2010.05a
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• pp.149-152
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• 2010

본 연구에서는 소프트웨어 제품을 개발하여 테스팅을 거친 후 사용자에게 인도하는 시기를 결정하는 방출문제에 대하여 연구되었다. 인도시기에 관한 모형은 무한 고장 수에 의존하는 비동질적인 포아송 과정을 적용하였다. 이러한 포아송 과정은 소프트웨어의 결함을 제거하거나 수정 작업 중에도 새로운 결함이 발생될 가능성을 반영하는 모형이다. 적용모형은 여러 수명 분포들을 적합시키는데 효율적인 특성을 가진 콤페르쯔, 파레토, 로그-로지스틱 모형과 같은 로그형 특성분포를 이용하였다. 따라서 소프트웨어 요구 신뢰도를 만족시키고 소프트웨어 개발 및 유지 총비용을 최소화 시키는 방출시간이 최적 소프트웨어 방출 정책이 된다. 본 논문의 수치적인 예에서는 고장 간격 시간 자료를 적용하고 모수추정 방법은 최우추정법을 이용하여 최적 방출시기를 추정하였다.

• Proceedings of the Korean Society for Information Management Conference
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• 2018.08a
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• pp.73-77
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• 2018

본 연구는 국내 의약품 검색 사이트를 국가와 사기업의 두 그룹으로 나누어 사용 경험을 평가하였다. 피터 모빌의 허니콤 모델을 해당 연구에 맞게 수정하여 편리성, 정보접근성의 차이점, 그리고 신뢰도에 대한 설문 조사지를 작성하였다. 일반인을 대상으로 총 18개의 문항으로 설문을 진행하였으며, 구글 설문지를 통해 10대에서 60대까지의 219명에게 답변을 받았다. 분석방법은 다중로지스틱회귀분석으로 사용경험이 재방문 여부에 미치는 영향을 살펴보았다. 설문결과 91%가 사기업 사이트를 더 선호하였다. 본 연구는 향후 개발될 의약품 정보 검색과 앱개발에 기반자료가 될 수 있고 보다 편리한 검색환경의 개선 자료로 활용될 수 있음에 그 의의가 있다.

• Fire Science and Engineering
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• v.33 no.6
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• pp.72-79
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• 2019

Through this study, we developed a model for predicting chemical accidents lead to casualties. The model was derived from the logistic regression analysis model and applied to the variables affecting the accident. The accident data used in the model was analyzed by studying the statistics of past chemical accidents, and applying independent variables that were statistically significant through data analysis, such as the type of accident, cause, place of occurrence, status of casualties, and type of chemical accident that caused the casualties. A significance of p < 0.05 was applied. The model developed in this study is meaningful for the prevention of casualties caused by chemical accidents and the establishment of safety systems in the workplace. The analysis using the model found that the most influential factor in the occurrence of casualty in accidents was chemical explosions. Therefore, there is an urgent need to prepare countermeasures to prevent chemical accidents, specifically explosions, from occurring in the workplace.

• Journal of Korea Technology Innovation Society
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• v.16 no.1
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• pp.303-322
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• 2013

A relevance of supporting business of technology financing for technologically innovative SMEs is strongly required for its continuous expansion and development. This study analyzes empirically whether the selection of recipient firms from technology financing have been performed in accordance with its objectives and purposes. Results show that the probability of receiving technology financing is more likely to increase with higher technology rankings and higher operating income ratio. On the other hand, the probability of obtaining financing might be decreased gradually, as the size of capital and age of the firm are increasing. Results also show that technology rankings and firm's major characteristics are found to affect significantly on the decision-making of technology financing. Several useful comments are suggested to improve the relevance of the technology financing since the correct classification rate, which explains the appropriateness of the model, is not at high level. In addition, technology rankings are not uncorrelated with the amount of financing in regression analysis. These research results will contribute to ensure the appropriateness and credibility of the technology financing decision-making.

• Journal of the Korea Society of Computer and Information
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• v.24 no.12
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• pp.167-174
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• 2019

The purpose of this study was to analyze the factors affecting the drinking behavior of adolescents. Based on this, it aims to suggest the practical and policy measures to prevent the drinking behavior of adolescents and to mediate / reduce them. We used binomial logistic analysis as an analysis method.As a result of this study, the individual factors affecting alcohol drinking were gender, smoking experience over the past year, sexual satisfaction, cyber delinquency, self-esteem, parental abuse, peer as family factors. Peer trust was significantly associated with attachment factors, and school adaptation factors were not found to be associated with alcohol drinking in adolescents. This suggests that multilateral efforts such as individuals, families, and communities are needed to mediate and reduce the drinking behavior of adolescents.

• Journal of Korean Society of Transportation
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• v.24 no.2 s.88
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• pp.139-145
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• 2006

This paper develops pedestrian fatality models capable of producing the probability of pedestrian fatality in collision between vehicles and pedestrians. Probabilistic neural network (PNN) and binary logistic regression (BLR) ave employed in modeling pedestrian fatality pedestrian age, vehicle type, and collision speed obtained from reconstructing collected accidents are used as independent variables in fatality models. One of the nice features of this study is that an iterative sampling technique is used to construct various training and test datasets for the purpose of better performance comparison Statistical comparison considering the variation of model Performances is conducted. The results show that the PNN-based fatality model outperforms the BLR-based model. The models developed in this study that allow us to predict the pedestrian fatality would be useful tools for supporting the derivation of various safety Policies and technologies to enhance Pedestrian safety.

• Journal of the Korea Society of Computer and Information
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• v.13 no.7
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• pp.1-9
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• 2008

In this paper, make a study decision problem called an optimal release policies after testing a software system in development phase and transfer it to the user. When correcting or modifying the software, because of the possibility of introducing new faults when correcting or modifying the software, infinite failure non-homogeneous Poisson process models presented and propose an optimal release policies of the life distribution applied log-logistic distribution which can capture the increasing! decreasing nature of the failure occurrence rate per fault. In this paper, discuss optimal software release policies which minimize a total average software cost of development and maintenance under the constraint of satisfying a software reliability requirement. In a numerical example, after trend test applied and estimated the parameters using maximum likelihood estimation of inter-failure time data, make out estimating software optimal release time.

• The Journal of the Korea Contents Association
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• v.12 no.5
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• pp.393-403
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• 2012

This study is to investigate social network of sports for all's instructor and occupational achievement. To accomplish this goal, this study sampled 240 instructors of sports facilities of Seoul utilizing purposive sampling method in 2011. But this study finally used 203 samples in data analysis. Validity and reliability of instruments tested by expert meetings and reliability analysis. Chronbach's ${\alpha}$ is over .674. Data analysis is logistic regression analysis and multiple regression analysis using SPSSWIN 18.0. Conclusions are the followings. First, gender, number of employment influence on employment throughout individual network. Second, social network influences on occupational achievement. Namely, individual network influences on wage satisfaction, social network influences fitness of academic career.

• The Journal of the Convergence on Culture Technology
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• v.5 no.2
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• pp.257-261
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• 2019

Service user satisfaction in the community service is also an important factor that leads to the improvement of the quality of the social service and the self - reliance of the service provider. The purpose of this paper is to examine the satisfaction factors affecting service continuity intentions in community service users, and provide direction and demand forecast information to improve user satisfaction and service satisfaction. In this study, the reliability test was conducted to check the reliability of each measurement tool and descriptive statistics and frequency analysis were conducted to identify the general characteristics of the study subjects. Logistic regression analysis was conducted to determine the effect of user satisfaction factors on service continuity. As a result of this study, it was confirmed that service user satisfaction in the community service is an important factor for improving the quality of social services and for the independence of service providers.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.439-450
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• 2022

Purpose: This study was to develop the Preventive Self-Management Knowledge related to Premature Labor (PSMK-PL) scale for women of childbearing age. Methods: Preliminary items were developed based on the literature and interview results of those who experienced premature labor. The online survey was conducted and the data of 250 women were analyzed using the DIMTEST and DETECT programs by applying the item response theory. Internal consistency reliability was analyzed with Cronbach's alpha (95% CI). Results: Among the 30 preliminary items, six items were deleted. The difficulty and discrimination of the 24 final three-dimensional scales were all acceptable, respectively. Cronbach's alpha (95% CI) was .89 (.87~.91). Conclusion: The PSMK-PL scale generally consisted of items with validity, and the reliability was acceptable.