• Title/Summary/Keyword: Data leak

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Discussions on the Leak Phenomena of Liquid Butane in the Open Air (액화석유가스(butane)의 대기중 누출현상에 대한 고찰)

  • Yoon, Jae-Kun
    • Journal of the Korean Society of Safety
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    • v.15 no.2
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    • pp.59-62
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    • 2000
  • Almost accidents related with gas have started with the leakage of LPG(Liquefied Petroleum Gas) in the open air. But experimental data of LPG leak jet are difficult to find because the safety of experiment is hard to secure and its phenomenon is not steady but transitional. This study is focused on the phenomena of injection jet of liquid butane to the open air. Simple experiment shows that only liquid butane jet in the open air is possible due to the slow vaporization because of low temperature difference between the liquid and air and low vapor pressure of liquid butane. Comparing with the water, 25~40% more liquid butane flow through the tube under the same pressure difference driving.

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An Algorithm for Detecting Leak of Defaced Confidential Information Based on SVDD (SVDD 기반 중요문서 변조 유출 탐지 알고리즘)

  • Ghil, Ji-Ho;Nam, Ki-Hyo;Kang, Hyung-Seok;Kim, Seong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.20 no.1
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    • pp.105-111
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    • 2010
  • This paper proposes the algorithm which addresses the problem of detecting leak of defaced confidential documents from original confidential document. Generally, a confidential document is defaced into various forms by insiders and then they are trying to leak these defaced documents to outside. Traditional algorithms detecting leak of documents have low accuracy because they are based on similarity of two documents, which do not reflect various forms of defaced documents in detection. In order to overcome this problem, this paper proposes a novel v-SVDD algorithm which is based on SVDD, the novelty detection algorithm. The result of experiment shows that there is significant improvement m the accuracy of the v-SVDD in comparison with the traditional algorithms.

Crack Opening Displacement Estimation for Engineering Leak-Before-Break Analyses of Pressurized Nuclear Piping (원자력 배관의 공학적 파단전누설 해석을 위한 균열열림변위 계산)

  • Huh Nam-Su;Kim Yun-Jae;Chang Yoon-Suk;Yang Jun-Seok;Choi Jae-Boons
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.28 no.10
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    • pp.1612-1620
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    • 2004
  • This study presents methods to estimate elastic-plastic crack opening displacement (COD) fur circumferential through-wall cracked pipes for the Leak-Before-Break (LBB) analysis of pressurized piping. Proposed methods are based not only on the GE/EPRI approach but also on the reference stress approach. For each approach, two different estimation schemes are given, one for the case when full stress-strain data are available and the other fur the case when only yield and ultimate tensile strengths are available. For the GE/EPRI approach a robust way of determining the Ramberg-Osgood (R-O) parameters is proposed, not only fur the case when detailed information on full stress-strain data is available but also for the case when only yield and ultimate tensile strengths are available. The COD estimates according to the GE/EPRI approach, using the R-O parameters determined from the proposed R-O fitting procedures, generally compare well with the published pipe test data. For the reference stress approach, the COD estimates according to the method based on both full stress-strain data and limited tensile properties are in good agreement with pipe test data. In conclusion, experimental validation given in the present study provides sufficient confidence in the use of the proposed method to practical LBB analyses even though when information on material's tensile properties is limited.

Estimation of Water Leak Rate in the Underground Oil Storage Cavern (지하 원유 저장공동에서의 누수량 산정에 대한 연구)

  • Shim, Hyun-Jin;Park, Tae-Jun;Jeong, Woo-Cheol;Kim, Ho-Yeong;Choi, Young-Tae
    • Tunnel and Underground Space
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    • v.20 no.4
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    • pp.233-240
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    • 2010
  • Double Plug is constructed for preventing mixing of two different oils between two compartments in the underground oil storage cavern. And the gas and oil tightness of double plug is tested from the measurement of water leakage from double plug after the completion of double plug water filling. If water leakage is underestimated, it can increase construction cost and if water leakage is overestimated, it can increase operating cost. Therefore, optimum water leakage should be estimated to cut down the cost. In this study, hydraulic stability analysis was conducted to consider permeable properties of rock mass around double plugs and a water leak rate from double plug was estimated from the hydraulic stability analysis and case study. Finally, the reliability of estimation of water leak rate was proven by comparing estimated water leak rate with measured data.

Using Continuous Flow Data to Predict the Course of Air Leaks After Lung Lobectomy

  • Jaeshin Yoon;Kwanyong Hyun;Sook Whan Sung
    • Journal of Chest Surgery
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    • v.56 no.3
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    • pp.179-185
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    • 2023
  • Background: Assessments of air leaks are usually performed subjectively, precluding the use of air leaks as an evaluation factor. We aimed to identify objective parameters as predictive factors for prolonged air leak (PAL) and air leak cessation (ALC) from air flow data produced by a digital drainage system. Methods: Flow data records of 352 patients who underwent lung lobectomy were reviewed, and flow data at designated intervals (1, 2, and 3 hours postoperatively [POH] and 3 times a day thereafter [06:00, 13:00, 19:00]) were extracted. ALC was defined by flow less than 20 mL/min over 12 hours, and PAL was defined as ALC after 5 days. Cumulative incidence curves were obtained using Kaplan-Meier estimates of time to ALC. Cox regression analysis was performed to determine the effects of variables on the rate of ALC. Results: The incidence of PAL was 18.2% (64/352). Receiver operating characteristic curve analysis showed cut-off values of 180 mL/min for the flow at 3 POH and 73.3 mL/min for the flow on postoperative day 1; the sensitivity and specificity of these values were 88.9% and 82.5%, respectively. The rates of ALC by Kaplan-Meier analysis were 56.8% at 48 POH and 65.6% at 72 POH. Multivariate Cox regression analysis revealed that the flow at 3 POH (≤80 mL/min), operation time (≤220 minutes), and right middle lobectomy independently predicted ALC. Conclusion: Air flow measured by a digital drainage system is a useful predictor of PAL and ALC and may help optimize the hospital course.

Fuzzy event tree analysis for quantified risk assessment due to oil and gas leakage in offshore installations

  • Cheliyan, A.S.;Bhattacharyya, S.K.
    • Ocean Systems Engineering
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    • v.8 no.1
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    • pp.41-55
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    • 2018
  • Accidental oil and gas leak is a critical concern for the offshore industry because it can lead to severe consequences and as a result, it is imperative to evaluate the probabilities of occurrence of the consequences of the leakage in order to assess the risk. Event Tree Analysis (ETA) is a technique to identify the consequences that can result from the occurrence of a hazardous event. The probability of occurrence of the consequences is evaluated by the ETA, based on the failure probabilities of the sequential events. Conventional ETA deals with events with crisp failure probabilities. In offshore applications, it is often difficult to arrive at a single probability measure due to lack of data or imprecision in data. In such a scenario, fuzzy set theory can be applied to handle imprecision and data uncertainty. This paper presents fuzzy ETA (FETA) methodology to compute the probability of the outcomes initiated due to oil/gas leak in an actual offshore-onshore installation. Post FETA, sensitivity analysis by Fuzzy Weighted Index (FWI) method is performed to find the event that has the maximum contribution to the severe sequences. It is found that events of 'ignition', spreading of fire to 'equipment' and 'other areas' are the highest contributors to the severe consequences, followed by failure of 'leak detection' and 'fire detection' and 'fire water not being effective'. It is also found that the frequency of severe consequences that are catastrophic in nature obtained by ETA is one order less than that obtained by FETA, thereby implying that in ETA, the uncertainty does not propagate through the event tree. The ranking of severe sequences based on their probability, however, are identical in both ETA and FETA.

Process Conditions Optimizing the Yield of Power Semiconductors (전력반도체의 수율향상을 위한 최적 공정조건 결정에 관한 연구)

  • Koh, Kwan Ju;Kim, Na Yeon;Kim, Yong Soo
    • Journal of Korean Society for Quality Management
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    • v.47 no.4
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    • pp.725-737
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    • 2019
  • Purpose: We used a data analysis method to improve semiconductor manufacturing yield. We defined and optimized important factors and applied our findings to a real-world process. The semiconductor industry is very cost-competitive; our findings are useful. Methods: We collected data on 15 independent variables and one dependent variable (yield); we removed outliers and missing values. Using SPSS Modeler ver. 18.0, we analyzed the data both continuously and discretely and identified common factors. Results: We optimized two independent variables in terms of process conditions; yield improved. We used DS Leak software to model netting and Contact CD software to model meshes. DS Leak shows smaller the better characterisrics and Contact CD shows normal the best characteristics Conclusion: Various efforts have been made to improve semiconductor manufacturing yields, and many studies have created models or analyzed various characteristics. We not only defined important factors but also showed how to control processing to improve semiconductor yield.

Identifying an Appropriate Analysis Duration for the Principal Component Analysis of Water Pipe Flow Data (상수도 관망 유량관측 자료의 주성분 분석을 위한 분석기간의 설정)

  • Park, Suwan;Jeon, Daehoon;Jung, Soyeon;Kim, Joohwan;Lee, Doojin
    • Journal of Korean Society of Water and Wastewater
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    • v.27 no.3
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    • pp.351-361
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    • 2013
  • In this study the Principal Component Analysis (PCA) was applied to flow data in a water distribution pipe system to analyze the relevance between the flow observation dates, which have the outliers of observed night flows, and the maintenance records. The data was obtained from four small size water distribution blocks to which 13 maintenance records such as pipe leak and water meter leak belong. The flow data during four months were used for the analysis. The analysis was carried out to identify an appropriate analysis period for a PCA model for a water distribution block. To facilitate the analyses a computational algorithm was developed. MATLAB was utilized to realize the algorithm as a computer program. As a result, an appropriate PCA period for each of the case study small size water distribution blocks was identified.

A Case of Chronic Renal Failure Associated with Systemic Capillary Leak Syndrome (전신성 모세혈관 누출 증후군으로 인한 만성 신질환 1예)

  • Baek, Seon Ha;Shin, Nara;Kim, Hyo Jin;Han, Mi Yeun;Choi, Dong-Ju;Bang, Soo-Mee;Kim, Sejoong;Paik, Jin Ho
    • Journal of Yeungnam Medical Science
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    • v.29 no.2
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    • pp.145-149
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    • 2012
  • Systemic capillary leak syndrome (SCLS) is an unusual entity characterized by hypovolemic shock, hemoconcentration, and hypo-albuminemia associated with paraproteinemia as a result of marked capillary hyper-permeability. Complications of this syndrome can include compartment syndromes, pulmonary edema, thrombosis, and acute kidney injury. This paper reports a case of severe SCLS accompanied by acute tubular necrosis caused by hypoperfusion and myoglobinuria secondary to rhabdomyolysis, which resulted in chronic kidney disease that necessitated hemodialysis. However, there have been rare data of residual end-organ damage after acute attacks in Korea. Therefore, this paper reports a case of complicated SCLS enough to hemodialysis and that developed into chronic kidney disease.

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Determining the Time of Least Water Use for the Major Water Usage Types in District Metered Areas (상수관망 블록의 대표적인 용수사용 유형에 대한 최소 용수사용 시간의 결정)

  • Park, Suwan;Jung, So-Yeon;Sahleh, Vahideh
    • Journal of Korean Society of Water and Wastewater
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    • v.29 no.3
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    • pp.415-425
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    • 2015
  • Aging water pipe networks hinder efficient management of important water service indices such as revenue water and leakage ratio due to pipe breakage and malfunctioning of pipe appurtenance. In order to control leakage in water pipe networks, various methods such as the minimum night flow analysis and sound waves method have been used. However, the accuracy and efficiency of detecting water leak by these methods need to be improved due to the increase of water consumption at night. In this study the Principal Component Analysis (PCA) technique was applied to the night water flow data of 426 days collected from a water distribution system in the interval of one hour. Based on the PCA technique, computational algorithms were developed to narrow the time windows for efficient execution of leak detection job. The algorithms were programmed on computer using the MATLAB. The presented techniques are expected to contribute to the efficient management of water pipe networks by providing more effective time windows for the detection of the anomaly of pipe network such as leak or abnormal demand.