• Title/Summary/Keyword: Risk Estimation

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Estimation on the Risk of Pesticide Exposure by Food Intake

  • Chun, Ock-Kyoung;Kang, Hee-Gon;Cho, Nam-Jun
    • Proceedings of the Korean Society of Food Hygiene and Safety Conference
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    • 2002.05a
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    • pp.139-142
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    • 2002
  • This study carried out to evaluate TMDI(theoretical maximum daily intake) and EDI(estimated daily intake) for Korean by using MRLs, food intake, residue data, and correction factors and compare with ADI(acceptable daily intake) in order to estimate the health risk based on the pesticide exposure.

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A Study on Fault Tree Construction for Track Worker's Risk Assessment (선로 작업자 위험도 예측을 위한 고장수목 구성 연구)

  • Kwak Sang-Log;Wang Jong-Bae;Park Chan-Woo;Cho Yuen-Ok
    • Proceedings of the KSR Conference
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    • 2005.05a
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    • pp.123-126
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    • 2005
  • Recently many accidents have been occurred on track workers, these accidents have strong relationship with increase of train speed, electrification and multiple track portion. As a first step for the safety management, domestic and abroad track worker accidents data are analysed for the risk estimation of track worker. Analysis results shows that contact between track worker and train is the dormant reason. In order to reduce dormant reason fault trees are constructed in this study.

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MRE for Exponential Distribution under General Progressive Type-II Censored Samples

  • Kang, Suk-Bok;Cho, Young-Suk
    • Journal of the Korean Data and Information Science Society
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    • v.9 no.1
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    • pp.71-76
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    • 1998
  • By assuming a general progressive Type-II censored sample, we propose the minimum risk estimator (MRE) of the location parameter and the scale parameter of the two-parameter exponential distribution. An example is given to illustrate the methods of estimation discussed in this paper.

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- Development of a Safety Assessment System Model in the Manufacturing Industry - (제조업에 대한 안전성평가시스템 모델 구축에 관한 연구)

  • 성호경
    • Journal of the Korea Safety Management & Science
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    • v.5 no.2
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    • pp.11-26
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    • 2003
  • While a number of Korean companies have undergone ceaseless restructuring to survive today's rapidly changing global economy, the brick and mortar industry has been exerting their efforts to enhance the productivity through the development of new products, quality improvement, cost reduction measures. At present, various risk-evaluation measures have been taken in the fields at the discretion of an enterpriser, though, the effective methods enabling quantitative analysis are insufficient. Accordingly, this study is intended to contribute to the synthetic safety manage -ment in the factory fields and to suggest the quantitative -risk-analysis system by introducing such safety-estimation steps as assortment of processes, pre-assessment of risk factors, decision of risks, counter measures against studied risks, establishment of remedies.

Application of Risk Management to Forecasting Transportation Demand by Delphi Technique (Delphi기법을 통한 교통수요예측 Risk Management 적용 방안)

  • Chung, Sung-Bong
    • Journal of the Korea Safety Management & Science
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    • v.13 no.2
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    • pp.267-273
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    • 2011
  • Since 'The Act on Private Investment of The Infrastructure' was established in 1994, private investment as well as government's investment in transport infrastructure has been active. However investment in transport infrastructure has more risks than others' due to uncertainty both in traffic volume and in construction cost. In the current appraisal procedure of deciding transportation infrastructure investment, instead of risk management, the sensitivity analysis considering only the changes of benefit, cost and social discount rate which are main factor affecting economic feasibility is carried out. Therefore the uncertainty of various factors affecting demand, cost and benefit are not considered in feasibility study. In this study the problems in current investment appraisal system were reviewed. Using Delphi technique the major factors which have high uncertainty in feasibility study were surveyed and then improvement plan was suggested in the respective of classic 4 step demand forecasting method. The range estimation technique was also mentioned to deal with the uncertainty of the future.

Nonpararmetric estimation for interval censored competing risk data

  • Kim, Yang-Jin;Kwon, Do young
    • Journal of the Korean Data and Information Science Society
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    • v.28 no.4
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    • pp.947-955
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    • 2017
  • A competing risk analysis has been applied when subjects experience more than one type of end points. Geskus (2011) showed three types of estimators of CIF are equivalent under left truncated and right censored data. We extend his approach to an interval censored competing risk data by using a modified risk set and evaluate their performance under several sample sizes. These estimators show very similar results. We also suggest a test statistic combining Sun's test for interval censored data and Gray's test for right censored data. The test sizes and powers are compared under several cases. As a real data application, the suggested method is applied a data where the feasibility of the vaccine to HIV was assessed in the injecting drug uses.

A Study on the Risk Assessment System for Human Factors (휴먼에러를 중심으로 한 위험요인 도출 방법론에 관한 연구)

  • Jung, Sang Kyo;Chang, Seong Rok
    • Journal of the Korean Society of Safety
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    • v.29 no.3
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    • pp.79-84
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    • 2014
  • Human error is one of the major contributors to the accidents. A lot of risk assessment techniques have been developed for prevention of accidents. Nevertheless, most of them were interested in physical factors, because quantitative evaluation of human errors was difficult quantitatively. According to lack of risk assessment techniques about human errors, most of industrial risk assessment for human errors were based on data of accident analysis. In order to develop an effective countermeasure to reduce the risk caused by human errors, a systematic analysis is needed. Generally, risk assessment system is composed of 5 step(classification of work activity, identification of hazards, risk estimation, evaluation and improvement). This study aimed to develop a risk identification technique for human errors that could mainly be applied to industrial fields. In this study, Ergo-HAZOP and Comprehensive Human Error Analysis Technique were used for developing the risk identification technique. In the proposed risk identification technique, Ergo-HAZOP was used for broad-brush risk identification. More critical risks were analysed by Comprehensive Human Error Analysis Technique. In order to verify applicability, the proposed risk identification technique was applied to the work of pile head cutting. As a consequence, extensive hazards were identified and fundamental countermeasures were established. It is expected that much attention would be paid to prevent accidents by human error in industrial fields since safety personnel can easily fint out hazards of human factors if utilizing the proposed risk identification technique.

Lifetime Risk Assessment of Lung Cancer Incidence for Nonsmokers in Japan Considering the Joint Effect of Radiation and Smoking Based on the Life Span Study of Atomic Bomb Survivors

  • Shimada, Kazumasa;Kai, Michiaki
    • Journal of Radiation Protection and Research
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    • v.46 no.3
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    • pp.83-97
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    • 2021
  • Background: The lifetime risk of lung cancer incidence due to radiation for nonsmokers is overestimated because of the use of the average cancer baseline risk among a mixed population, including smokers. In recent years, the generalized multiplicative (GM)-excess relative risk (ERR) model has been developed in the life span study of atomic bomb survivors to consider the joint effect of radiation and smoking. Based on this background, this paper discusses the issues of radiation risk assessment considering smoking in two parts. Materials and Methods: In Part 1, we proposed a simple method of estimating the baseline risk for nonsmokers using current smoking data. We performed sensitivity analysis on baseline risk estimation to discuss the birth cohort effects. In Part 2, we applied the GM-ERR model for Japanese smokers to calculate lifetime attributable risk (LAR). We also performed a sensitivity analysis using other ERR models (e.g., simple additive (SA)-ERR model). Results and Discussion: In Part 1, the lifetime baseline risk from mixed population including smokers to nonsmokers decreased by 54% (44%-60%) for males and 24% (18%-29%) for females. In Part 2, comparison of LAR between SA- and GM-ERR models showed that if the radiation dose was ≤200 mGy or less, the difference between these ERR models was within the standard deviation of LAR due to the uncertainty of smoking information. Conclusion: The use of mixed population for baseline risk assessment overestimates the risk for lung cancer due to low-dose radiation exposure in Japanese males.

Evidence-Based Benefit-Risk Assessment of Medication (근거에 기반한 의약품의 유익성-위해성 평가)

  • Lee, Eui-Kyung
    • The Journal of Health Technology Assessment
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    • v.1 no.1
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    • pp.22-26
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    • 2013
  • Objectives: Balancing benefits and risks through the drug life cycle has been discussed for many decades. The objective of this study was to review the processes and tools currently proposed for benefit-risk assessment of medicinal drugs. It aimed to establish scientific and efficient drug safety management system based on the synthetic analysis of benefit-risk evidence. Methods: We conducted a review of exiting literatures published by regulatory agencies or initiatives. Not only quantitative methodologies but also qualitative method were compared to understand their key characteristics for the benefit and risk assessment of drugs. Results: Recently, benefit-risk assessments have more structured approaches to decision making as part of regulatory science. Regulatory agencies such as European Medicines Agency, FDA have prepared plans to apply benefit-risk assessment to regulatory decision making. Also many initiatives such as IMI (Innovative Medicine Initiative) have conducted research and published reports about benefit-risk assessment. For benefit-risk assessment, four kinds of methods are necessary. Frameworks such as BRAT (Benefit Risk Action Team) framework, PrOACT-URL provide guidance for the whole process of decision-making. Metrics are measurements of risk benefit. The estimation techniques are methods to synthesis and combine evidences from various sources. The utility survey techniques are necessary to explicit preferences of various outcome from stakeholders. Conclusion: There is the lack of widely accepted, validated model for benefit-risk assessment. Nor there is an agreement among academia, industry, and government on methods for the quantitative valuation. It is also limited by available evidence and underlying assumptions. Nevertheless, benefit-risk assessment is fundamental to improve transparency, consistency and predictability for decision making through the structured systematic approaches.

An Experimental Study on the Estimation Flow-rate of Venturi Pump Using LightGBM (LightGBM을 이용한 수력 펌프 유량 추정의 실험적 연구)

  • Jin Beom Jeong;Jihwan Lee;Myeongcheol Kang
    • Journal of Drive and Control
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    • v.20 no.4
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    • pp.123-132
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    • 2023
  • In disaster situations, to facilitate rapid drainage, electric underwater pumps are installed manually. This poses a high risk of electric shock accidents due to a short circuit, and a lot of time is required for hose connection and installation of electrical devices. To solve these problems, a Venturi pump using the venturi effect without external power is used. However, Venturi pumps that operate without external power make it difficult to install flow sensors such as electric devices; consequently, it is difficult to check the real-time flow rate. This paper proposes a flow estimation logic to replace the function of the flow sensor for the venturi pump . To develop the flow estimation logic, the flow characteristics of the venturi pump, according to the operating conditions, were checked. After that, the relationship with the flow rate of the venturi pump was defined using a pressure sensor corresponding to a low-cost sensor. Finally, an analysis of the estimation error was performed using the developed flow estimation logic.