• Title/Summary/Keyword: Plant Database

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Development of ISI UT Auto Flaw Evaluation and Acceptance Module of Nuclear Power Plants (원전 ISI UT 자동 결함평가 및 판정 모듈 개발)

  • Park, Ik-Keun;Park, Un-Su;Kim, Hyun-Mook;Kim, Chung-Seok;Um, Byong-Guk;Lee, Jong-Po
    • Proceedings of the KSME Conference
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    • 2000.11a
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    • pp.212-218
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    • 2000
  • The importance and role of pre-/in-service inspection(PSI/ISI) for nuclear power plant(NPP) components are intimately related to plant design, safety, reliability, operation, etc. In this paper, for an effective and efficient management of large amounts of PSI/ISI data in NPPs, an intelligent database program(WS-IDPIN) for PSI/ISI data management of NPP was developed. WS-IDPIN program enables the prompt extraction of previously conducted PSI/ISI conditions and results so that the time-consuming data management, painstaking data processing and analysis in the past are avoided. Furthermore, development of ISI UT auto flaw evaluation and acceptance module based on ASME Code Sec. XI were presented. This module can be used for any angle beam examination from flat plate to spherical shapes as selected by the proper azimuthal angle. This program can be further developed as a unique PSI/ISI data management expert system.

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Hot Pepper Functional Genomics: Monitoring of Global Gene Expression Profiles During Non-Host Resistance Reactions in Hot Pepper Plant ( Capsicum annuum).

  • Lee, Sanghyeob;Chung, Eun-Joo;Park, Doil
    • Proceedings of the Korean Society of Plant Pathology Conference
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    • 2003.10a
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    • pp.80.2-81
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    • 2003
  • Since hot peppers (Capsicum annuum L.) are getting reputation as an important source of vitamins, medicine and many other areas, consumption and cultivation is being increased in the world. In spite of this usefulness, so little attention has been given to the hot pepper plants. To date, less than 500 nucleotide sequences including redundancy has been identified in NCBI database. Therefore we started to EST sequencing project for initial characterization of the genome, because of the large genome size of hot pepper (2.7 3.3 ${\times}$ 109 bp), To date, a set of 10,000 non-redundant genes were identified by EST sequencing for microarray-based gene expression studies. At present, cDNA microarrays containing 4,685 unigene clones are used for hybridization labeled targets derived from pathogen infected and uninoculated leaf tissues. Monitoring of gene expression profiles of hot pepper interactions with soybean pustule pathogen (Xag;Xanthomonas axonopodis pv. glycine) will be presented.

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Development of the 'Three-stage' Bayesian procedure and a reliability data processing code (3단계 베이지안 처리절차 및 신뢰도 자료 처리 코드 개발)

  • 임태진
    • Korean Management Science Review
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    • v.11 no.2
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    • pp.1-27
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    • 1994
  • A reliability data processing MPRDP (Multi-Purpose Reliability Data Processor) has been developed in FORTRAN language since Jan. 1992 at KAERI (Korean Atomic Energy Research Institute). The purpose of the research is to construct a reliability database(plant-specific as well as generic) by processing various kinds of reliability data in most objective and systematic fashion. To account for generic estimates in various compendia as well as generic plants' operating experience, we developed a 'three-stage' Bayesian procedure[1] by logically combining the 'two-stage' procedure[2] and the idea for processing generic estimates[3]. The first stage manipulates generic plant data to determine a set of estimates for generic parameters,e.g. the mean and the error factor, which accordingly defines a generic failure rate distribution. Then the second stage combines these estimates with the other ones proposed by various generic compendia (we call these generic book type data). This stage adopts another Bayesian procedure to determine the final generic failure rate distribution which is to be used as a priori distribution in the third stage. Then the third stage updates the generic distribution by plant-specific data resulting in a posterior failure rate distribution. Both running failure and demand failure data can be handled in this code. In accordance with the growing needs for a consistent and well-structured reliability database, we constructed a generic reliability database by the MPRDP code[4]. About 30 generic data sources were reviewed and available data were collected and screened from them. We processed reliability data for about 100 safety related components frequently modeled in PSA. The underlying distribution for the failure rate was assumed to be lognormal or gamma, according to the PSA convention. The dependencies among the generic sources were not considered at this time. This problem will be approached in further study.

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Establishment of Room Based Database for Configuration Management in Nuclear Power Plant - Focusing on the Design Requirement and Facility Configuration Information - (원자력발전소의 형상관리를 위한 실(Room)기반 데이터베이스 구축에 관한 연구 - 설계요건 및 형상정보를 중심으로 -)

  • Shin, Jaeseop
    • Korean Journal of Construction Engineering and Management
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    • v.19 no.6
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    • pp.34-45
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    • 2018
  • Nuclear power plant(NPP) is a large-sacle national infrastructure with total project cost of 77 billion dollars and period of 10 years or more. Moreover, since it is operated over 60 years, NPP is a facility closely related to national economy and public safety. Therefore, accurate information and consistent physical configuration should be maintained to enable accurate and economical decision making in NPP project process such as design, construction, operation, and decommission. Since NPP industry is more complicate and regulated than other industries, the importance of configuration management(CM) has been widely recognized in the early days. However, there were limitations in implementing systematic CM due to unclear purpose and subject. Therefore, this paper suggests a room-based database for CM in NPP reflects design requirements and facility configuration information.

Yearly Update of the List of Plant Diseases in Korea (6.2 Edition, 2024) (한국식물병명목록의 연간 현황 보고(6.2판, 2024년 개정본))

  • Jaehyuk Choi;Seon-Hee Kim;Young-Joon Choi;Gyoung Hee Kim;Ju-Yeon Yoon;Byeong-Yong Park;Hyun Gi Kong;Soonok Kim;Sekeun Park;Chang-Gi Back;Hee-Seong Byun;Jang Kyun Seo;Jun Myoung Yu;Dong-Hyeon Lee;Mi-Hyun Lee;Bong Choon Lee;Seung-Yeol Lee;Seungmo Lim;Yongho Jeon;Jaeyong Chun;Insoo Choi;In-Young Choi;Hyo-Won Choi;Jin Sung Hong;Seung-Beom Hong
    • Research in Plant Disease
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    • v.30 no.2
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    • pp.103-113
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    • 2024
  • Since 2009, the Korean Society of Plant Pathology has established the Committee on Common Names of Plant Disease to systematically review and determine plant disease names and related terminologies. The committee published the 6th edition of the List of Plant Diseases in Korea (LPDK) in 2022, and the list has been made publicly accessible online. The online database has significantly enhanced user accessibility, expedited update processes, and improved interoperability with other databases. As a result, the 6.1 edition of the list was released by online LPDK in 2023, detailing new disease names added over the preceding year and revisions to existing names. Subsequently, in 2024, the 6.2 edition was published, encompassing 6,765 diseases caused by 2,503 pathogen taxa across 1,432 host species. The public release of the online database has, however, introduced several challenges and tasks. Addressing these issues necessitates the development of modern, standardized nomenclature guidelines and a robust system for the registration of new disease names. Open communication and collaboration among the diverse members of the Korean Society of Plant Pathology are required to ensure the reliability of the LPDK.

A DATABASE FOR HUMAN PERFORMANCE UNDER SIMULATED EMERGENCIES OF NUCLEAR POWER PLANTS

  • Park, Jin-Kyun;Jung, Won-Dea
    • Nuclear Engineering and Technology
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    • v.37 no.5
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    • pp.491-502
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    • 2005
  • Reliable human performance is a prerequisite in securing the safety of complicated process systems such as nuclear power plants. However, the amount of available knowledge that can explain why operators deviate from an expected performance level is so small because of the infrequency of real accidents. Therefore, in this study, a database that contains a set of useful information extracted from simulated emergencies was developed in order to provide important clues for understanding the change of operators' performance under stressful conditions (i.e., real accidents). The database was developed under Microsoft Windows TM environment using Microsoft Access $97^{TM}$ and Microsoft Visual Basic $6.0^{TM}$. In the database, operators' performance data obtained from the analysis of over 100 audio-visual records for simulated emergencies were stored using twenty kinds of distinctive data fields. A total of ten kinds of operators' performance data are available from the developed database. Although it is still difficult to predict operators' performance under stressful conditions based on the results of simulated emergencies, simulation studies remain the most feasible way to scrutinize performance. Accordingly, it is expected that the performance data of this study will provide a concrete foundation for understanding the change of operators' performance in emergency situations.

Output Power Prediction of Combined Cycle Power Plant using Logic-based Tree Structured Fuzzy Neural Networks (로직에 기반 한 트리 구조의 퍼지 뉴럴 네트워크를 이용한 복합 화력 발전소의 출력 예측)

  • Han, Chang-Wook;Lee, Don-Kyu
    • Journal of IKEEE
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    • v.23 no.2
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    • pp.529-533
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    • 2019
  • Combined cycle power plants are often used to produce power. These days prediction of power plant output based on operating parameters is a major concern. This paper presents an approach to using computational intelligence technique to predict the output power of combined cycle power plant. Computational intelligence techniques have been developed and applied to many real world problems. In this paper, tree architectures of fuzzy neural networks are considered to predict the output power. Tree architectures of fuzzy neural networks have an advantage of reducing the number of rules by selecting fuzzy neurons as nodes and relevant inputs as leaves optimally. For the optimization of the networks, two-step optimization method is used. Genetic algorithms optimize the binary structure of the networks by selecting the nodes and leaves as binary, and followed by random signal-based learning further refines the optimized binary connections in the unit interval. To verify the effectiveness of the proposed method, combined cycle power plant dataset obtained from the UCI Machine Learning Repository Database is considered.

Development of Web-based Power Plant Simulator System (원격 훈련용 발전 시뮬레이터 개발)

  • Byun, Seung-Hyun;Kang, Hae-su;Woo, Joo-Hee;Lee, Jee-Hoon;Kim, Duck-Ho
    • KEPCO Journal on Electric Power and Energy
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    • v.7 no.2
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    • pp.277-283
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    • 2021
  • Power plant simulators have been used for operator training, control verification and engineering verification. In general, simulators can be used in the place where they are installed by only single user group at a time. Considering high cost of simulator development, a lot of available scenarios, the diversity of user level and accessibility based on users' work location, development of simulator system that can be used by multiple user groups regardless of location is required in order to enhance utilization of simulators. In this paper, the simulator system that can be used by multiple user group simultaneously without location limitation is proposed. The simulator system is composed of simulator servers, database servers, HMI servers, a web server, web clients. Simulator server consists of control model, process model that are developed for Circulating Fluidized Bed power plant located overseas. A web server manages user accounts, operation procedures, multiple server access between web client group and simulator server group. In other words, a web server makes a user group select a simulator server at a time. The developed simulator system is integrated after implementing process model, control model, HMI, and web server. Web client systems are installed on local site where power plant is located, while simulator servers, HMI servers, database servers, and a web server are located in KEPCO RI. The developed simulator system is verified by steady-state test, malfunction test and so on via remote access.

Supplementation of Zinc Nutrient Database and Evaluation of Zinc Intake of Korean Adults Living in Rural Area (한국인 상용 식품의 아연함량표를 보완하여 평가한 한국농촌성인의 아연 섭취 실태)

  • 이주연
    • Journal of Nutrition and Health
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    • v.31 no.8
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    • pp.1324-1377
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    • 1998
  • This study was conducted for two purposes ; (1) to develop a database for zinc levels in commonly usef Korean food items ; and (2) to calculated the zinc intake fo Korean adults living in a rural area. The currently used Korean food compositinotable was supplemented in term sof zinc content using several methods ; (1) analyzing 98 Korean Food items frequently consumed by Korean adults living in rural area. ; (2) adapting values from U.S Minnesota for 71 items ; and (3) imputing values from similar food for 282 items. A new zinc nutrient databse was constructed including zinc contentrs of 1,195 food items. Zinc intake of rural Korean adults was estimated by a 240hours recall method from 2 ,037 adults over 30 over 30years of age in Yeonchon -gun , Kyunggi province of Korea. Mean daily zinc intake of all subjects was 61mg an dmean intake level of males (7.0mg/day, 46.85 of RDA) was significantly thigher than females(5.2mg/day, 43.0% of RDA). Subjects in their 40's had the highest zinc intak ewhile those over 70 years of age consumed the least amount of zinc. The food group that contributed most to the dietary ainc intake of subjects was cereals and grain products supplying 38% of total zinc intake. The next most important group for zinc intak ewas the meat, poultry , and product group supplying 26% ot total intake. This group was followed by fishes and shellfishes, legumes and their products, and vegetales . For individual food items , reicecontribued most, supplying 27% of total zinc intake follwoed by beef(10%) and prok(9%) . Altogether, plant foods supplied 68% of zinc intake suggesting that the bioabailability of dietary ainc is low. In conclusion, these results show ethat the zinc intake of rural Korean adults is low and that sources of dietary zinc are mainly plant foods, suggesting low bioavailability . Further studies are needed to determine zinc intake and status of Korean population. The zinc database developed in this study will be very valuable for such studies.

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