• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.59-73
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• 2016

The demand for subsurface transport is increasing. The users and the operators of road tunnels are exposed to risks with different causes. One main cause, however, is the traffic situation in the event of accidents. The importance of a Quantified Risk Assessment is increasing to quantify the safety of road tunnels and to balance the requirements (capacity, reliability, availability, maintainability and safety) of various stakeholders. Although there are classical methods for risk assessments, such as ETA and FTA. These methods are used for relatively simple cases because it could not relevantly reflect the diversity and relationship of the parameters. Therefore, a quantitative risk assessment based on Bayesian Probabilistic Networks considering interdependence between the parameters of a complex underground system as a double deck tunnel is provided.

• Transactions of the Korean Society of Mechanical Engineers
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• v.16 no.5
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• pp.1004-1010
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• 1992

In recent years, along with the development of ultrasonic probe with wide frequency range, the digitization of measuring instrument, and the development of operating process technics, it is possible to analyze ultrasonic pulse in frequency range. In this paper, applying to flaw model the ultrasonic spectroscopy method that can analyze ultrassonic pulse in frequency range, we examine the possibility of quantification of flaw and apply its result to the void and seperation in LSI package. Consequently, by using the change in frequency distribution and central frequency of sltrasonic pulse detected from flaw, the estimation of shape, size, and depth of flaw is possible. The change in central frequency is changed minutely by the sample materals and position of flaw, but changed mainly by the shape and size of flaw. And we can quantify the shape and size of flaw in LSI pakcage using the experimental result through flaw model.

• Journal of Digital Convergence
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• v.11 no.2
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• pp.323-330
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• 2013

The trend of the use of open softwares is increasing daily. Despite these increases in the use of open softwares, the importance of the problem of their quality is not considered enough. Also, if we look at the existing evaluation model which is used as the evaluation model of the existing open software, the level of the quantization is insufficient, the evaluator can show some subjectivity and as a clear evaluation method is not published, there are many problems to apply it in practice. Therefore, in this study, we have built an evaluation basis that can show consistent quantization without the influence of the evaluator and that can improve the evaluation speed with the automatization of the evaluation information acquisition. The built quality evaluation model will take an important role to evaluate and to improve the open software.

• Journal of the Korean Institute of Intelligent Systems
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• v.14 no.1
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• pp.39-45
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• 2004

This paper proposes a new blind measurement model of blocking artifacts. This model plays an important role in the assessment and enhancement of image quality caused by block-based DCT coding system. The proposed model can measure blocking artifacts without reference to original images and consider the HVS based visual model such as frequency sensitivity and channel masking effect to detect and measure overall blocking artifacts quantitatively. The experimental results show that the proposed model is highly effective in measuring blocking artifacts.

• Proceedings of the ESK Conference
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• 1996.04a
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• pp.2-7
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• 1996

인간이 마우스를 사용하면서 느끼는 감성은 불확실하고 모호하여 정량화하고 모형화하는데 많은 어려 움이 있었다. 본 연구에서는 퍼지로직을 이용하여 기존의 통계적 분석방법의 한계를 극복하고 좀 더 실제적인 감성예측을 위한 모형화의 방법론을 제시하고자 한다. 즉 퍼지회구식을 이용하여 인간이 마 우스를 사용할 때의 감성을 모형화 하였으며 이를 통하여 새로운 모델에 대한 감성의 예측의 방법을 제 시하였다. 본 연구에서 제시된 방법을 적용하기 위해 시판되고 있는 볼마우스 9종, 대학원생 6명을 대상으로 실험을 실시한 결과, 퍼지회귀식에 의한 감성의 예측을 예측값의 중심뿐만이 아니라 개략적인 산포도 함께 제시함으로써 보다 현실적인 예측이 가능하였다.

• Proceedings of the Korea Air Pollution Research Association Conference
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• 2003.05b
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• pp.62-63
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• 2003

대기 중 입자상 및 가스상 오염물질에 대한 오염원의 영향을 확인하고 기여도를 정량화하기 위하여 수용방법론 (receptor methods)이 이용되고 있다. 수용방법론은 각종 응용통계학을 기반으로 한 계량화 학적 분석기술로서, 일반대기 중 수용체에서 가스상ㆍ입자상 오염물질의 물리ㆍ화학적 특성을 분석한 후, 대기질에 영향을 미치는 오염원을 확인하고 기여도를 정량적으로 파악하여 대기오염 관리를 합리적으로 수행할 수 있는 통계적 방법이다. 또한 수용방법론은 입자상 및 가스상 오염물질의 분석에 다각도로 응용할 수 있으며, 합리적인 대기오염 관리를 유도하는 기초기술이라 할 수 있다(황인조 등, 2001). (중략)

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.17 no.2
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• pp.263-269
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• 2017

'Goal Model' is core knowledge of 'Autonomic Control System' suggested to minimize human interference in system management. 'Autonomic Control System' performs 'Monitoring-Analysis-Plan-Execution', that is the four step of 'Autonomic Control', based on 'Goal Model'. Therefore, it is necessary to quantify achievement ratio of 'Goal Model' of target system. Thus, this paper present 'Probabilistic Evaluation of Goal Model' for methodology how to quantify achievement ratio of 'Goal Model'. It comprises 3-steps including 'Goal modeling and weighting', 'Goal model monitoring', 'Goal model evaluation and analysis'. Through these research, we provide core knowledge for 'Autonomic Control system' and it is possible to increase the reliability of system by evaluating 'Goal model' with applying weight. As case study, we apply 'Goal model' to a 'Smart IoT Kit' and we demonstrate the validity of the suggested research.

• Tunnel and Underground Space
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• v.34 no.4
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• pp.301-311
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• 2024

In South Korea, following the 2016 Gyeongju and 2017 Pohang earthquakes, the need for earthquake disaster prevention has been increasing. Reliable techniques for probabilistic seismic hazard analysis and ground motion models are required for quantifying earthquake damage. Recently, there has been growing demand for deep underground facilities, necessitating accurate quantification techniques for earthquake damage in deep underground. In this study, ground motion models within rock were proposed using ground motion data measured at borehole seismic stations. A regression analysis, a type of empirical technique, was applied to 17 periods selected in a range from 0.01 to 10 s of spectral accelerations to develop the ground motion models. Residual analysis was performed to evaluate and improve the prediction performance of the ground motion model, with correction factors added to the model equation. When applying the proposed model, the group means of residuals approached zero, and the standard deviation of total residuals, similar to existing models proposed in other countries, confirmed the reliability of the proposed model.

• Journal of the Korea Institute of Building Construction
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• v.18 no.2
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• pp.151-159
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• 2018

Accident rate in the construction industry of South Korea is increasing every year, and it represents the highest percentage among industries. This shows that activities performed to prevent safety accidents in the country are not efficient when it comes to reduce the accident rate. In order to resolve this issue, a model for the prediction of human accidents should be established. In addition, it is required a quantification study based on pattern of human accidents. Therefore, the objective of this study is to quantify uncertainty of human accidents risk and predict how to change in various circumstances by using Monte Carlo Simulation. To achieve the objective, first, pattern of human accidents was defined. Second, insurance claim payout and information of human accidents during 14 years in construction site were collected. Third, descriptive analysis is conducted to determine the characteristics of the accident pattern. Fourth, to quantitatively analyze the pattern of the human accidents, the population of each accident occurrence and payout were estimated. Finally, estimated populations was analyzed according to characteristics of distribution by using Monte carlo simulation. In the future, this study can be used as a reference for developing the safety management checklist in construction site and development of prediction models of human accident.

• Proceedings of the Korean Institute of Industrial Safety Conference
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• 1997.11a
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• pp.91-96
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• 1997

건축물의 고층화와 그 구조의 다양화, 고밀도화에 따른 실내의 가연물 증가등으로 인한 화재의 잠재적인 위험성은 날로 증대되고 있으며, 건물화재를 완전히 방지하는 것은 현실적으로 거의 불가능하다고 볼 수 있다. 그러므로 건물의 잠재된 화재 위험성을 평가한다는 것은 건축물을 화재로부터 피해를 최소화하고, 화재를 미연에 예방한다는 측면에서 매우 중요한 일이다. 그러나 화재 위험성을 평가하는 방법이 표준화 되어있지 않고, 정량적 평가를 할 수 있는 방법이 매우 드문 것이 현실이다. 따라서 화재 위험성을 정량화 시켜 평가할 수 있는 평가모델을 개발하고, 이를 바탕으로 소프트웨어를 개발함으로써 체계적이고 쉽게 평가 할 수 있도록 하여 화재의 위험성을 감소시키는데 도움이 되도록 하였다. (중략)