• Title/Summary/Keyword: Data Leaks

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Probabilistic Risk Analysis of Dropped Objects for Corroded Subsea Pipelines (부식을 고려한 해저 파이프라인의 확률론적 중량물 낙하 충돌 위험도 해석)

  • Kumar, Ankush;Seo, Jung Kwan
    • Journal of the Society of Naval Architects of Korea
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    • v.55 no.2
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    • pp.93-102
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    • 2018
  • Quantitative Risk Assessment (QRA) has been used in shipping and offshore industries for many years, supporting the decision-making process to guarantee safe running at different stages of design, fabrication and throughout service life. The assessments of a risk perspective are informed by the frequency of events (probability) and the associated consequences. As the number of offshore platforms increases, so does the length of subsea pipelines, thus there is a need to extend this approach and enable the subsea industry to place more emphasis on uncertainties. On-board operations can lead to objects being dropped on subsea pipelines, which can cause leaks and other pipeline damage. This study explains how to conduct hit frequency analyses of subsea pipelines, using historical data, and how to obtain a finite number of scenarios for the consequences analysis. An example study using probabilistic methods is used.

Source Tracking Models on Chemical Leaks for Emergency Response in Chemical Plants Based on Deep Learning of Big Data (화학공장 누출사고 대응을 위한 빅데이터-딥러닝 누출원 추적모델)

  • Kim, Hyunseung;Shin, Dongil
    • Proceedings of the Korean Society of Disaster Information Conference
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    • 2017.11a
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    • pp.339-340
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    • 2017
  • 화학공장의 누출사고는 초기에 적절히 대응하지 못할 경우 화재 폭발과 같은 2차 3차의 복합재난사고로 확산될 위험성이 매우 높다. 이러한 이유로 누출사고 발생 초기에 누출이 발생한 지점을 신속히 파악하여 현장안전요원에게 알림으로써, 보다 체계적이고 효율적인 초기대응을 가능하게 하여, 사고피해를 완화시킬 수 있는 통합적인 누출사고 대응시스템 구축은 매우 중요하다고 할 수 있다. 본 연구에서는, 통합적인 누출사고 대응시스템 구축을 위한 선행연구로, 딥러닝 기반의 누출원추적 모델 개발을 제안한다. 여수에 위치한 실제 화학공장을 대상으로 누출사고 시나리오에 대한 Computational Fluid Dynamics (CFD) 시뮬레이션을 진행한 뒤, 화학공장 경계면에 배치된 각 센서별 위치에서의 농도, 풍향 그리고 풍속데이터를 추출하고, 센서 좌표를 추가하여 인공신경망을 학습시켰다. 학습된 모델은 40개의 누출후보군에 대해 학습에 사용되지 않은 상황들에서도 75.43%의 정확도로 누출이 일어난 지점을 실시간 예측해냄을 확인하였다. 또한 누출지점 예측이 일치하지 않은 경우도, 예측된 지점이 실제 누출이 일어난 지점과 물리적으로 매우 인접함을 확인함으로써 제안된 모델을 실제 현장에 적용할시 기대되는 효과는 더 클 것으로 판단하였다.

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A Study on Vehicle-based Durability Evaluation for Weight-reduced Valve Parts of the Dual Clutch Transmission

  • ChanEun Kim;TaeWook Kim
    • Tribology and Lubricants
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    • v.40 no.1
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    • pp.24-27
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    • 2024
  • A monotype valve body for a dual clutch transmission has the potential to reduce costs, weight, and manufacturing time by modularizing various parts, including those of existing solenoid packs and valve bodies, into one through the application of super-precision die casting technology. However, this approach may lead to challenges such as reduced rigidity and increased interference due to modularization and compactness, impacting both product performance due to the reduced weight as well as durability and reliability. Unlike existing products, this approach requires a high-precision thin-wall block to avoid more complicated flow line formation, interference between flow lines, and leaks, as well as a strict quality requirement standard and precise inspections including detection of internal defects. To conduct precise inspections, we built an equivalent model corresponding to a driving distance of 300,000 km. Testing involved simulating actual road loads using a real vehicle and a chassis dynamometer in the FTP-75 mode (EPA Federal Test Procedure). The aim of the study was to establish a vehicle load-based part durability model for manufacturing a mono-type valve body and to develop fundamental technology for part weight reduction through preliminary design by introducing analytical weight reduction technology based on the derived results.

Right anterior mini-thoracotomy aortic valve replacement versus transcatheter aortic valve implantation in octogenarians: a single-center retrospective study

  • Ji Eun Im;Eun Yeung Jung;Seok Soo Lee;Ho-Ki Min
    • Journal of Yeungnam Medical Science
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    • v.41 no.2
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    • pp.96-102
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    • 2024
  • Background: The aim of this study was to compare the early outcomes of octogenarians undergoing minimally invasive right anterior mini-thoracotomy aortic valve replacement (RAT-AVR) with those undergoing transcatheter aortic valve implantation (TAVI) for aortic valve disease. Methods: In this single-center retrospective study, data were collected from octogenarians before and after RAT-AVR and TAVI between January 2021 and July 2022. Short-term outcomes, including the length of hospital stay, in-hospital mortality, all-cause mortality, and other major postoperative complications, were compared and analyzed. Results: There were no significant differences in in-hospital mortality, stroke, acute kidney dysfunction requiring renal replacement therapy, length of intensive care unit stay, or length of hospital stay. However, the TAVI group had a higher incidence of permanent pacemaker insertion (10% vs. 0%, p=0.54) and paravalvular leaks (75% vs. 0%, p<0.001). Conclusion: In the present study on octogenarians, both TAVI and RAT-AVR showed comparable short-term results. Although both procedures were considered safe and effective in the selected group, RAT-AVR had a lower incidence of complete atrioventricular block and paravalvular regurgitation.

A Review on the Classification of Skin Toxicity Hazards Due to Skin Contact with Chemical Substances (화학물질 피부접촉에 의한 피부독성 유해성 분류에 관한 고찰)

  • Kwon, Buhyun;Jo, Jihoon;Lee, Dohee
    • Journal of Korean Society of Occupational and Environmental Hygiene
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    • v.28 no.2
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    • pp.175-189
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    • 2018
  • Objectives: In this study, we analyze statistics on industrial accidents caused by chemical skin contact and provide skin toxicity hazard information on the related domestic system and circulation volumes. Methods and Results: We analyzed occupational fatalities and skin diseases caused by chemical leaks and contact from 2007 to 2016(10 years) and surveyed data on occupational skin diseases using the 2014 work environment survey data. The NIOSH Skin Notation Profiles for 57 chemical substances, which are provided to prevent occupational skin diseases, were searched and hazard information on skin contact with chemical substances was classified. In order to identify skin toxicity information among domestically distributed and legally regulated substances and to investigate skin-toxic substances, MSDS basic data on 19,740 chemical substances provided on the homepage of Korea Occupational Safety & Health Agency were searched. Acute toxicity(dermal) category 1-4 substances totaled 1,020, and the number of chemical substances classified as category 1 and 2 substances were 135 and 137, respectively. In the chemical substances prescribed by the Ministry of Employment and Labor, 173 substances were classified into acute toxicity(dermal) categories 1-4, 58 of which correspond to category 1 or 2. Conclusions: Within the present range of industrial accidents, the proportion of skin diseases due to contact with chemicals is not high. However, there is always a risk of occupational skin diseases due to increasing chemicals and due to the use of new chemicals. It is hoped that this information will be used by workplace safety and health officials and health and safety experts to prevent acute toxity(dermal) due to chemical skin contact.

Development of leakage detection model in water distribution networks applying LSTM-based deep learning algorithm (LSTM 기반 딥러닝 알고리즘을 적용한 상수도시스템 누수인지 모델 개발)

  • Lee, Chan Wook;Yoo, Do Guen
    • Journal of Korea Water Resources Association
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    • v.54 no.8
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    • pp.599-606
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    • 2021
  • Water Distribution Networks, one of the social infrastructures buried underground, has the function of transporting and supplying purified water to customers. In recent years, as measurement capability is improved, a number of studies related to leak recognition and detection by applying a deep learning technique based on flow rate data have been conducted. In this study, a cognitive model for leak occurrence was developed using an LSTM-based deep learning algorithm that has not been applied to the waterworks field until now. The model was verified based on the assumed data, and it was found that all cases of leaks of 2% or more can be recognized. In the future, based on the proposed model, it is believed that more precise results can be derived in the prediction of flow data.

A Study on the Institutional Improvement Directions of Industrial Security Programs: Focused upon Policies and Practices in the U.S. (산업보안의 제도적 발전방안 연구: 미국 사례를 중심으로)

  • Choi, Justin Jin-Hyuk
    • Korean Security Journal
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    • no.22
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    • pp.197-230
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    • 2010
  • This study examined the institutional improvement directions of industrial security programs, particularly focusing upon policies and practices in the U.S., to enhance the effectiveness of industrial security programs in Korea. This study also aimed to investigate the significance of institutional and/or policy implementations in preventing economic espionage attempt. Data leakage and/or loss of trade secrets in corporations has been a scary proposition and a serious headache to both the CEOs and the CSOs(Chief Security Officers). Security professionals or practitioners have always had to deal with data leakage issues that arise from e-mail, instant messaging(IM), and other Internet communication channels. In addition, with the proliferation of wireless and mobile technology, it's now much easier than ever for loss by data breaches to occur, whether accidentally or maliciously or even by an economic espionage attempt. The researcher in this study used both a case study and a comparative research to analyze the different strategies and approaches between the U.S. and Korea in regard of implementing policies to mitigate damages by economic espionage attempts and prevent them from occurring. The researcher first examined the current policies and practices in the U.S. in terms of federal government's and agencies' approach and strategies on industrial security programs and their partnerships with private-commercial-sectors. The purpose of this paper is to explain and suggest selected findings, and a discussion of actions to be taken on implementing a proactive and tactical approach to enhance the effectiveness of industrial security programs to fight against information loss or data leaks. This study used case reviews, literatures, newspapers, articles, and Internet resources relating to the subject of this study for triangulation of data. The findings during this research are as follows. This research suggests that both the private and the governmental sector should closely cooperate in the filed of industrial security to strengthen its traditional prevention strategies and reduce opportunities of economic espionage as well. This study finally recognizes both the very importance of institutional development led by the Government in preventing economic espionage attempts and its effectiveness when properly united with effective industrial security programs.

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Assessment of Leak Detection Capability of CANDU 6 Annulus Gas System Using Moisture Injection Tests

  • Nho, Ki-Man;Kim, Wang-Bae;Sim, Woo-Gun
    • Nuclear Engineering and Technology
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    • v.30 no.5
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    • pp.403-415
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    • 1998
  • The CANDU 6 reactor assembly consists of an array of 380 pressure tubes, which are installed horizontally in a large cylindrical vessel, the Calandria, containing the low pressure heavy water moderator. The pressure tube is located inside the calandria tube and the annulus between these tubes, which forms a closed loop with $CO_2$ gas recirculating, is called the Annulus Gas System(AGS). It is designed to give an alarm to the operator even for a small pressure tube leak by a very sensitive dew point meter so that he can take a preventive action for the pressure tube rupture incident. To judge whether the operator action time is enough or not in the design of Wolsong 2,3 & 4, the Leak Before Break(LBB) assessment is required for the analysis of the pressure tube failure accident. In order to provide the required data for the LBB assessment of Wolsong Units 2, 3, 4, a series of leak detection capability tests was performed by injecting controlled rates of heavy water vapour. The data of increased dew point and rates of rise were measured to determine the alarm set point for the dew point rate of rise of Wolsong Unit 2. It was found that the response of the dew point depends on the moisture injection rate, $CO_2$ gas flow rate and the leak location. The test showed that CANDU 6 AGS can detect the very small leaks less than few g/hr and dew point rate of rise alarm can be the most reliable alarm signal to warn the operator. Considering the present results, the first response time of dew point to the AGS $CO_2$ flow rate is approximated.

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Development of Sensor Module and Control System Software for LPG/CNG Stations (LPG/CNG용 센서 모듈 및 관제시스템 S/W 개발)

  • Cho, Beomsek;Kim, Sungkwang;Kim, Sungtae;Kim, Jongmin
    • Journal of the Korean Institute of Gas
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    • v.22 no.1
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    • pp.53-59
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    • 2018
  • In Korea, The number of installed LPG Charging stations is about 2000, increasing by 26 every year. In these, about 500 charging stations are older above 15 year, accounting about 25% of total stations. About 86% of them are located in the city, which is causing serious damage if accident occurs. In this paper, we developed a duel gas sensor module and integrated control system software that can prevent and correspondence to gas leaks and fire accidents at LPG/CNG charging stations. The dual type sensor module has the function of collecting and transmitting the measured data to the sensors of methane, butane and hydrogen through RF433Mhz communication. In addition, each sensor is attached with two to improve stability and accuracy. The integrated control system software detects real-time data of the devices measured by the sensors and it send to the PC and smart phone of manager. Therefore, if accident occurs, the manager can check the status of the charging station regardless of time and place.

Dynamic quantitative risk assessment of accidents induced by leakage on offshore platforms using DEMATEL-BN

  • Meng, Xiangkun;Chen, Guoming;Zhu, Gaogeng;Zhu, Yuan
    • International Journal of Naval Architecture and Ocean Engineering
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    • v.11 no.1
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    • pp.22-32
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    • 2019
  • On offshore platforms, oil and gas leaks are apt to be the initial events of major accidents that may result in significant loss of life and property damage. To prevent accidents induced by leakage, it is vital to perform a case-specific and accurate risk assessment. This paper presents an integrated method of Ddynamic Qquantitative Rrisk Aassessment (DQRA)-using the Decision Making Trial and Evaluation Laboratory (DEMATEL)-Bayesian Network (BN)-for evaluation of the system vulnerabilities and prediction of the occurrence probabilities of accidents induced by leakage. In the method, three-level indicators are established to identify factors, events, and subsystems that may lead to leakage, fire, and explosion. The critical indicators that directly influence the evolution of risk are identified using DEMATEL. Then, a sequential model is developed to describe the escalation of initial events using an Event Tree (ET), which is converted into a BN to calculate the posterior probabilities of indicators. Using the newly introduced accident precursor data, the failure probabilities of safety barriers and basic factors, and the occurrence probabilities of different consequences can be updated using the BN. The proposed method overcomes the limitations of traditional methods that cannot effectively utilize the operational data of platforms. This work shows trends of accident risks over time and provides useful information for risk control of floating marine platforms.