• Title/Summary/Keyword: 한국형 위험기반검사

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Analysis of Safety of the Chemical Facilities by Korea Risk Based-Inspection in the Petrochemical Plant (석유화학공장에서의 한국형 위험기반검사에 의한 화학설비의 안정성 평가)

  • Kim, Tae-Ok;Lee, Hern-Chang;Shin, Pyng-Sik;Choi, Byung-Nam;Jo, Ji-Hoon;Choi, Byung-Young;Park, Sung-Hoo;Kim, Hung-Kun
    • Journal of the Korean Society of Safety
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    • v.22 no.6
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    • pp.35-40
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    • 2007
  • As a way of improving the safety of the chemical facilities, the risk based-inspection(RBI) was executed for the facilities of the applied petrochemical plant using KS-RBI Ver. 3.0 program developed based on the API-581 based resource document(BRD). From an evaluation result of KS-RBI program, we could find the evaluation of the process safety management(PSM) for the applied plant, risk of the applied process, risk of static facilities and pipes, and the demage mechanism of the facilities. Also, we could suggest a proper inspection plan(frequency and method of inspection) using the calculated risk and the status of the facilities. Therefore, the applied plant could be achieved a reduced inspection cost by an extension of inspection frequency, improved productivity, improved reliability of the facilities, and a computerized history management.

Development of Statistical/Probabilistic-Based Adaptive Thresholding Algorithm for Monitoring the Safety of the Structure (구조물의 안전성 모니터링을 위한 통계/확률기반 적응형 임계치 설정 알고리즘 개발)

  • Kim, Tae-Heon;Park, Ki-Tae
    • Journal of the Korea institute for structural maintenance and inspection
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    • v.20 no.4
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    • pp.1-8
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    • 2016
  • Recently, buildings tend to be large size, complex shape and functional. As the size of buildings is becoming massive, the need for structural health monitoring(SHM) technique is ever-increasing. Various SHM techniques have been studied for buildings which have different dynamic characteristics and are influenced by various external loads. Generally, the visual inspection and non-destructive test for an accessible point of structures are performed by experts. But nowadays, the system is required which is online measurement and detect risk elements automatically without blind spots on structures. In this study, in order to consider the response of non-linear structures, proposed a signal feature extraction and the adaptive threshold setting algorithm utilized to determine the abnormal behavior by using statistical methods such as control chart, root mean square deviation, generalized extremely distribution. And the performance of that was validated by using the acceleration response of structures during earthquakes measuring system of forced vibration tests and actual operation.

Estimation of Effect Zone for the Establishment of Damage-Minimizing Plan of Chemical Plants (화학공장의 사고피해 최소화 대책수립을 위한 영향범위 평가)

  • Lee, Hern-Chang;Han, Seong-Hwan;Cho, Ji-Hoon;Shin, Dong-Il;Kim, Tae-Ok
    • Journal of the Korean Institute of Gas
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    • v.15 no.2
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    • pp.69-74
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    • 2011
  • As a way to propose a method for the establishment of practical damage-minimizing plan for chemical plants, the release scenario was established by using API-581 BRD and the effect zone was estimated by the KS-RBI program supporting the quantitative cause analysis. And the risk assessment was performed. As a result, we found that to minimize the damage of a chemical plant, it is effective to use four release hole diameters (small, medium, large and rupture) and release time estimated according to the classes of detection and isolation systems. In addition, it can be safely said that through appling the damage areas considering weighted average by failure frequency and worst-case simultaneously, industrial sites can come up with the effective emergency response plan.

Safety Verification Techniques of Privacy Policy Using GPT (GPT를 활용한 개인정보 처리방침 안전성 검증 기법)

  • Hye-Yeon Shim;MinSeo Kweun;DaYoung Yoon;JiYoung Seo;Il-Gu Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.2
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    • pp.207-216
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    • 2024
  • As big data was built due to the 4th Industrial Revolution, personalized services increased rapidly. As a result, the amount of personal information collected from online services has increased, and concerns about users' personal information leakage and privacy infringement have increased. Online service providers provide privacy policies to address concerns about privacy infringement of users, but privacy policies are often misused due to the long and complex problem that it is difficult for users to directly identify risk items. Therefore, there is a need for a method that can automatically check whether the privacy policy is safe. However, the safety verification technique of the conventional blacklist and machine learning-based privacy policy has a problem that is difficult to expand or has low accessibility. In this paper, to solve the problem, we propose a safety verification technique for the privacy policy using the GPT-3.5 API, which is a generative artificial intelligence. Classification work can be performed evenin a new environment, and it shows the possibility that the general public without expertise can easily inspect the privacy policy. In the experiment, how accurately the blacklist-based privacy policy and the GPT-based privacy policy classify safe and unsafe sentences and the time spent on classification was measured. According to the experimental results, the proposed technique showed 10.34% higher accuracy on average than the conventional blacklist-based sentence safety verification technique.

Analysis of the Relationship between Abdominal Ultrasound Based Kidney Stones, Obesity and Metabolic Syndrome (복부 초음파 검사 기반 신장결석과 비만 및 대사증후군 관련성 분석)

  • Kim, Ju Hee;Jang, Hyon Chol;Cho, Pyong Kon
    • Journal of the Korean Society of Radiology
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    • v.14 no.4
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    • pp.495-502
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    • 2020
  • Kidney stones are a common disease with an annual prevalence of about 30,000 people in Korea, and are deeply related to an increase in chronic kidney disease, high blood pressure, coronary artery disease, metabolic syndrome, type 2 diabetes, hyperlipidemia, and abdominal obesity. Therefore, in this study, 135 examinees who visited a general hospital in Dalseong-gun from May 2019 to June 2020 for a medical examination were examined. The relationship between kidney stones and factors related to obesity and metabolic syndrome were found in abdominal ultrasound. I tried to find out the relevance. As a result of the study, the risk of kidney stones in the abnormal group was increased by 4.255 times compared to the normal group in total cholesterol factor, and the risk of kidney stones in the abnormal group was increased by 2.072 times compared to the normal group in the low-density lipoprotein cholesterol factor. Total cholesterol factor and low-density lipoprotein cholesterol It was found that the factor affects the prevalence of kidney stones and metabolic syndrome. Since the risk of kidney stones is related to total cholesterol and low-density lipoprotein cholesterol factors, active attention should be paid to preventive purposes through health check-ups.

Development of Performance Verification Method for Components of IoT-based Industrial Valve Safety Management System (IoT 기반 산업용 밸브 안전관리 시스템 구성장치의 성능검증 방안 개발)

  • Kim, Jae-Ok;Lyu, Geun-Jun;Lee, Kyung-Sik;Kim, Jung-Hoon
    • Journal of the Korean Institute of Gas
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    • v.24 no.5
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    • pp.10-19
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    • 2020
  • Valve leak accidents in petrochemistry plants and gas utilities cause human and property damage. The main reason why happen gas inhalation, poisoning, fire and explosion accidents is gas valve leakage. To prevent gas leakage, inspectors check the facilities in the field. And they are at risk of gas leak accidents. So we applied IoT-based risk assessment, monitoring and automatic control system. It can detect both internal and external gas leakage, do real-time monitoring of industrial valve in the plant by using hybrid sensor. As the new safety management system for industrial valve is developed, it needs method to evaluate device performance and environmental components for the system. This study is about development of method to verify performance of the explosion-proofed hybrid sensing system include gas detector and optical fiber sensor supporting wire and wireless communication.

Association Study of NDFIP2 Genetic Polymorphism with Asthma in the Korean Population (한국인에서 NDFIP2 유전적 다형성과 천식의 상관 연구)

  • Choi, Eun Hye;Hwang, Dahyun
    • Korean Journal of Clinical Laboratory Science
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    • v.53 no.3
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    • pp.249-256
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    • 2021
  • Asthma is a chronic inflammatory airway disease. There are many factors including genetic and environmental factors that influence asthma. The mitogen-activated protein kinase (MAPK) pathway is involved in maintaining the T helper cells 1 and 2 (Th1/Th2) balance and plays an important role in the development of asthma. In this study, the correlation between the NDFIP2 gene that regulates the MAPK pathway and asthma was analyzed. The genetic polymorphism of the NDFIP2 gene was analyzed between 193 asthma patients and 3,228 healthy controls in Korea. As a result, 4 single nucleotide polymorphisms (SNPs) showed a significant correlation (P<0.05) and high relative risk with asthma. Among them, rs2783122 of NDFIP2 showed a statistically significant association with asthma (P-value=9.76×10-6, odds ratio (OR)=1.67, 95% confidence interval (CI)=1.33~2.10). In the SNP imputation on the NDFIP2, 16 SNPs were discovered, and all of them showed significant correlation with asthma and high odds ratio. The genotype-based mRNA expression analysis revealed that the group of minor alleles of rs1408049 showed increased mRNA expression. Increased NDFIP2 expression causes the activation of the MAPK pathway, and this may influence the development of asthma. In conclusion, the polymorphisms of NDFIP2 are associated with asthma development and this can provide the basis for new guidelines for the management of asthma in the Korean population.

A Study on the Usefulness of Backend Development Tools for Web-based ERP Customization (Web기반 ERP 커스터마이징을 위한 백엔드 개발도구의 유용성 연구)

  • Jung, Hoon;Lee, KangSu
    • Journal of the Korea Convergence Society
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    • v.10 no.12
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    • pp.53-61
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    • 2019
  • The risk of project failure has increased recently as ERP systems have been transformed into Web environments and task complexity has increased. Although low-code platform development tools are being used as a way to solve this problem, limitations exist as they are centered on UI. To overcome this, back-end development tools are required that can be developed quickly and easily, not only from the front development but also from a variety of development sources produced from the ERP development process, including back-end business services. In addition, the development tools included within existing ERP products require a lot of learning time from the perspective of beginner and intermediate developers due to high entry barriers. To address these shortcomings, this paper seeks to study ways to overcome the limitations of existing development tools within the ERP by providing customized development tool functions by enhancing the usability of ERP development tools suitable for each developer's skills and roles based on the requirements required by ERP development tools, such as reducing the time required for querying, automatic binding of data for testing for service-based units, and checking of source code quality.

Development of an open source-based APT attack prevention Chrome extension (오픈소스 기반 APT 공격 예방 Chrome extension 개발)

  • Kim, Heeeun;Shon, Taeshik;Kim, Duwon;Han, Gwangseok;Seong, JiHoon
    • Journal of Platform Technology
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    • v.9 no.3
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    • pp.3-17
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    • 2021
  • Advanced persistent threat (APT) attacks are attacks aimed at a particular entity as a set of latent and persistent computer hacking processes. These APT attacks are usually carried out through various methods, including spam mail and disguised banner advertising. The same name is also used for files, since most of them are distributed via spam mail disguised as invoices, shipment documents, and purchase orders. In addition, such Infostealer attacks were the most frequently discovered malicious code in the first week of February 2021. CDR is a 'Content Disarm & Reconstruction' technology that can prevent the risk of malware infection by removing potential security threats from files and recombining them into safe files. Gartner, a global IT advisory organization, recommends CDR as a solution to attacks in the form of attachments. There is a program using CDR techniques released as open source is called 'Dangerzone'. The program supports the extension of most document files, but does not support the extension of HWP files that are widely used in Korea. In addition, Gmail blocks malicious URLs first, but it does not block malicious URLs in mail systems such as Naver and Daum, so malicious URLs can be easily distributed. Based on this problem, we developed a 'Dangerzone' program that supports the HWP extension to prevent APT attacks, and a Chrome extension that performs URL checking in Naver and Daum mail and blocking banner ads.

Korean Clinical Imaging Guidelines for the Appropriate Use of Chest MRI (한국형 흉부 MRI 영상 진단 정당성 권고안)

  • Jiyoung Song;Bo Da Nam;Soon Ho Yoon;Jin Young Yoo;Yeon Joo Jeong;Chang Dong Yeo;Seong Yong Lim;Sung Yong Lee;Hyun Koo Kim;Byoung Hyuck Kim;Kwang Nam Jin;Hwan Seok Yong
    • Journal of the Korean Society of Radiology
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    • v.82 no.3
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    • pp.562-574
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    • 2021
  • MRI has the advantages of having excellent soft-tissue contrast and providing functional information without any harmful ionizing radiation. Although previous technical limitations restricted the use of chest MRI, recent technological advances and expansion of insurance coverage are increasing the demand for chest MRI. Recognizing the need for guidelines on appropriate use of chest MRI in Korean clinical settings, the Korean Society of Radiology has composed a development committee, working committee, and advisory committee to develop Korean chest MRI justification guidelines. Five key questions were selected and recommendations have been made with the evidence-based clinical imaging guideline adaptation methodology. Recommendations are as follows. Chest MRI can be considered in the following circumstances: for patients with incidentally found anterior mediastinal masses to exclude non-neoplastic conditions, for pneumoconiosis patients with lung masses to differentiate progressive massive fibrosis from lung cancer, and when invasion of the chest wall, vertebrae, diaphragm, or major vessels by malignant pleural mesothelioma or non-small cell lung cancer is suspected. Chest MRI without contrast enhancement or with minimal dose low-risk contrast media can be considered for pregnant women with suspected pulmonary embolism. Lastly, chest MRI is recommended for patients with pancoast tumors planned for radical surgery.