• 제목/요약/키워드: safety interval

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A New Interference-Aware Dynamic Safety Interval Protocol for Vehicular Networks

  • 유홍석;장주석;김동균
    • 한국산업정보학회논문지
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    • 제19권2호
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    • pp.1-13
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    • 2014
  • In IEEE 802.11p/1609-based vehicular networks, vehicles are allowed to exchange safety and control messages only within time periods, called control channel (CCH) interval, which are scheduled periodically. Currently, the length of the CCH interval is set to the fixed value (i.e. 50ms). However, the fixed-length intervals cannot be effective for dynamically changing traffic load. Hence, some protocols have been recently proposed to support variable-length CCH intervals in order to improve channel utilization. In existing protocols, the CCH interval is subdivided into safety and non-safety intervals, and the length of each interval is dynamically adjusted to accommodate the estimated traffic load. However, they do not consider the presence of hidden nodes. Consequently, messages transmitted in each interval are likely to overlap with simultaneous transmissions (i.e. interference) from hidden nodes. Particularly, life-critical safety messages which are exchanged within the safety interval can be unreliably delivered due to such interference, which deteriorates QoS of safety applications such as cooperative collision warning. In this paper, we therefore propose a new interference-aware Dynamic Safety Interval (DSI) protocol. DSI calculates the number of vehicles sharing the channel with the consideration of hidden nodes. The safety interval is derived based on the measured number of vehicles. From simulation study using the ns-2, we verified that DSI outperforms the existing protocols in terms of various metrics such as broadcast delivery ration, collision probability and safety message delay.

경북지방 파이프하우스의 안전골조간격에 관한 연구 (A Study on the Safety Frame Interval of Pipe Houses in Kyungpook Region)

  • 이현우;이석건
    • 생물환경조절학회지
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    • 제4권2호
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    • pp.195-202
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    • 1995
  • As the pipe houses were constructed by imitation and routine without a structural design by now, they were often destructed by a strong wind or a heavy snowfall. The purpose of this study was to provide the basic data for the safety structural design of the pipe houses in Kyungpook region to prevent meteorological disaster. It was shown that the change of frame interval according to the safety factor under the wind load was similar that under the snow load. But the safety frame interval under the snow load was approximately 0.5-0.6m greater than that under the wind load for equal safety factor. Therefore, it seemed that the maximum safety frame interval was to be decided by the snow load. The frame of the pipe houses in Seungju region was structurally stable under the design snow load in recurrence intervals of 8-15years, but was unstable in Kolyong region.

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고장률의 불확실구간을 고려한 빈도구간과 결정론적 빈도의 설명력 연구 (Study of Explanatory Power of Deterministic Risk Assessment's Probability through Uncertainty Intervals in Probabilistic Risk Assessment)

  • 한만형;천영우;황용우
    • 한국안전학회지
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    • 제39권3호
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    • pp.75-83
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    • 2024
  • Accurately assessing and managing risks in any endeavor is crucial. Risk assessment in engineering translates the abstract concept of risk into actionable strategies for systematic risk management. However, risk validation is met with significant skepticism, particularly concerning the uncertainty of probability. This study aims to address the aforementioned uncertainty in a multitude of ways. Firstly, instead of relying on deterministic probability, it acknowledges uncertainty and presents a probabilistic interval. Secondly, considering the uncertainty interval highlighted in OREDA, it delineates the bounds of the probabilistic interval. Lastly, it investigates how much explanatory power deterministic probability has within the defined probabilistic interval. By utilizing fault tree analysis (FTA) and integrating confidence intervals, a probabilistic risk assessment was conducted to scrutinize the explanatory power of deterministic probability. In this context, explanatory power signifies the proportion of probability within the probabilistic risk assessment interval that lies below the deterministic probability. Research results reveal that at a 90% confidence interval, the explanatory power of deterministic probability decreases to 73%. Additionally, it was confirmed that explanatory power reached 100% only with a probability application 36.9 times higher.

우도구간 추정법에 의한 피로강도 데이터 평가법에 관한 연구 (A Study on Evaluation Method of Fatigue Strength Data Using Likelihood Interval Estimation Method)

  • 최창섭
    • 한국안전학회지
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    • 제10권2호
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    • pp.10-16
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    • 1995
  • In estimating the fatigue data, only the uniform safety rate has been applied so far However, since more reasonable design concepts such as machine structures or subsidiary materials will be required in the future, the importance of a statistical estimation method for fatigue data is being highlighted. With such basic conception in mind, this study was aimed at critically discussing the interval estimation method which has been applied using the classical statistics thus far It was conceived that this conventional method would result in the estimation of the unstable side from the viewpoint of the likelihood Interval estimation method. In this regard, this study aimed at estimating the fatigue strength through the likelihood interval estimation method comparing it with the conventional interval estimation method would result in the estimation of the unstable side from the viewpoint of the likelihood interval estimation method. One of the methods using the likelihood for estimation data is the Bayes method. Based on this theory, statistical estimations were positivly applied, and thereupon, the fatigue data were estimated.

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Optimal Number of Failures before Group Replacement under Minimal Repair

  • Young Kwan, Yoo
    • 대한안전경영과학회지
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    • 제6권1호
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    • pp.61-70
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    • 2004
  • In this paper, a group replacement policy based on a failure count is analysed. For a group of identical repairable units, a maintenance policy is performed with two phase considerations: a repair interval phase and a waiting interval phase. Each unit undergoes minimal repair at failure during the repair interval. Beyond the interval, no repair is made until a number of failures. The expected cost rate expressions under the policy is derived. A method to obtain the optimal values of decision variables are explored. Numerical examples are given to demonstrate the results.

컴퓨터 터미날 감시작업의 난이도 평가에 대한 연구

  • 김유창
    • 한국안전학회지
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    • 제7권3호
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    • pp.60-65
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    • 1992
  • As many industrial workers have been involved with computer terminal tasks, for example, monitor ing, inspection, or computer da4a entry etc., concerns for difficulty evaluation of computer terminal tasks are Increased. This study provides that eyeblink can be used as a means of difficulty evaluation of a computer terminal lask. Four subjects without color blindness are asked to perform the monitoring task of the binary choice type under five levels of task difficulty. In each task, eyeblink rates and eyeblink interval times were measured from the subjects. The results show that the eyeblink rate does decrease with an Increase in task difficulty. In addition, it was found that both eyeblink interval time and eyeblink Interval time variation increased with an increase in task difficulty. It was concluded that the change of eyeblink rate, eyeblink interval time and eyeblink interval time and eyeblink interval time variation could be regarded as a generalized response to the imposition of task difficulty.

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가설검정 및 구간추정에서 샘플크기 결정규칙의 고찰 및 유도 (Review and Derivation of Sample Size Determination for Hypothesis Testing and Interval Estimation)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2012년 추계학술대회
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    • pp.461-471
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    • 2012
  • Most useful statistical techniques in six sigma DMAIC are hypothesis testing and interval estimation. So this paper reviews and derives sample size formula by considering significance level, power of detectability and effect difference. The quality practioners can effectively interpret the practical and statistical significance with the rational sample sizing.

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동질성 및 이질성 모집단의 가설검정과 구간추정의 비교 (Comparision of Hypothesis Tests and Interval Estimations for Homogeneous and Heterogeneous Populations)

  • 최성운
    • 대한안전경영과학회:학술대회논문집
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    • 대한안전경영과학회 2009년도 춘계학술대회
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    • pp.365-370
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    • 2009
  • The present study proposes the various hypothesis tests and interval estimations for homogeneous and heterogeneous populations in the continuous and discrete process. These results can be used to complement the QC story 15 steps for quality improvement circle and DMAIC processes for six sigma innovation.

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안전계통의 이용불능도 및 최적시험주기에 미치는 인간실수의 영향 (Effects of Human Error on the Optimal Test Internal and Unavailability of the Safety System)

  • Chung, Dae-Wook;Koo, Bon-Hyun
    • Nuclear Engineering and Technology
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    • 제23권2호
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    • pp.174-182
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    • 1991
  • 안전계통의 이용불능도 및 최적시험주기 평가에 있어서 주기적인 시험과 관련된 인간실수의 영향을 고려하였다. 시험 및 보수와 관련된 인간실수는 건전한 계통이 시험 후 잘못된 상태에 놓이게 될 가능성과(Type A인간실수)건전하지 못한 계통이 시험시 감지되지 못할 가능성(Type B인간실수)이다. 계통이용불능도 및 최적시험주기에 미치는 인간실수의 영향을 결정하기 위하여 안전계통의 이용불능도를 계산하기 위한 사상수목모델이 개발되었다. 또한 안전주입계통의 신뢰도 분석을 통하여 계통전체에 미치는 영향을 평가하였다. 다양한 민감도 분석 결과, (1) 계통이용불능도는 인간실수의 확률이 커질수록 증가하며 Type A인간실수의 영향이 훨씬 크다. (2) 최적시험주기 는 Type A 인간실수가 커 질수록 약간 증가하나, Type B 인간실수가 커 질수록 감소한다. (3) 안전주입펌프의 시험주기를 고정시키면 안전주입계통의 이용불능도는 Type A인간실수가 커질수록 크게 증가하나 Type B 인간실수가 커지더라도 약간 증가한다. 따라서 인간실수의 영향을 고려 할 때 계통의 이용불능도를 일정 수준으로 유지하기 위해서는 시험주기(최적시험주기가 아님 )를 줄여야 한다. 그리고 시험 및 보수시 Type A 인간실수는 계통의 이용불능도에 미치는 영향이 크므로, 특히 TyPe A 인간실수를 줄이기 위한 노력이 필요하다.

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전동차 제동장치의 고장데이터와 비용함수를 고려한 유지보수 정책에 관한 연구 (A Study on the Maintenance Policy Considering the Failure Data of the EMU Braking System and the Cost Function)

  • 한재현;김종운;구정서
    • 한국안전학회지
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    • 제30권3호
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    • pp.13-19
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    • 2015
  • Railway vehicle equipment goes back again to the state just before when failure by the repair. In repairable system, we are interested in the failure interval. As such, a statistical model of the point process, NHPP power law is often used for the reliability analysis of a repairable system. In order to derive a quantitative reliability value of repairable system, we analyze the failure data of the air brake system of the train line 7. The quantitative value is the failure intensity function that was modified, converted into a cost-rate function. Finally we studied the optimal number and optimal interval in which the costs to a minimum consumption point as cost-rate function. The minimum cost point was 194,613 (won/day) during the total life cycle of the braking system, then the optimal interval were 2,251days and the number of optimal preventive maintenance were 7 times. Additionally, we were compared to the cost of a currently fixed interval(4Y) and the optimum interval then the optimal interval is 3,853(won/day) consuming smaller. In addition, judging from the total life, "fixed interval" is smaller than 1,157 days as "optimal interval".