• 제목/요약/키워드: Laboratory data

검색결과 6,402건 처리시간 0.035초

실험실정보관리시스템의 확장을 위한 오픈 소스 기반의 빅데이터 처리 기술에 관한 연구 (A Study on Big Data Processing Technology Based on Open Source for Expansion of LIMS)

  • 김순곤
    • 한국정보전자통신기술학회논문지
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    • 제14권2호
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    • pp.161-167
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    • 2021
  • 실험실정보관리시스템(LIMS, Laboratory Information Management System)은 실험실 데이터를 저장, 가공, 검색 그리고 분석하기 위한 중앙화된 데이터베이스로서 검사, 분석, 시험 업무를 수행하는 실험실을 위해 특별히 고안된 컴퓨터 시스템 또는 시스템을 의미한다. 특히 LIMS는 실험실의 운영을 지원하는 기능을 갖추고 있으며, 워크플로우 관리나 데이터 추적지원 등이 필요하다. 본 논문에서는 실험실의 운영을 위하여 빅데이터 자동화 수집 기술의 하나인 크롤링 기술을 활용하여 웹사이트 및 다양한 채널에 존재하는 데이터를 수집한다. 수집된 시험 방법 및 내용 중 시험자가 활용할 수 있는 유용한 시험 방법 및 내용을 추천한다. 그리고 이에 대한 피드백을 관리하여 수집 채널의 검증이 가능한 상호보완적인 LIMS 플랫폼을 구현한다.

SWAT-CUP을 이용한 8일간격 유량측정자료의 일유량 확장 가능성 평가 (Evaluation of the Possibility of Daily Flow Data Generation from 8-Day Interval Measured Flow Data using SWAT-CUP)

  • 정재운;조소현;임병진;오태윤;함상인;김갑순
    • 한국물환경학회지
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    • 제28권4호
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    • pp.595-600
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    • 2012
  • This study is to assess the application of SWAT-CUP(Soil and Water Assessment Tool-Calibration Uncertainty Programs) and to extend daily flow data from 8-day interval flow data which has been measured by Korean Ministry of Environment(MOE). Model sensitivity analysis and calibration were performed with sequential uncertainty fitting(SUIF-2), which is one of the programs interfaced with SWAT, in the package SWAT-CUP. The most sensitive parameters were SOL_K.sol, CH_N2.rte, CN2.mgt, SOL_BD.sol, ALPHA_BF.gw, ALPHA_BNK.rte, SOL_AWC.sol, CH_K2.rte, SFTMP.bsn, GW_DELAY.gw. Following the sensitivity analysis, SWAT-CUP calibration was carried out using 8-day interval flow data from January 2008 to December 2010. The results were then assessed based on the visual agreement and simulated flow plots and the performance statistics generated $R^2$ and NSE which are 0.71 and 0.61 respectively. Results of these statistics indicated that there was a good agreement between the observed and simulated flow. To extend daily flow data from 8-day interval flow data, parameters, which were estimated by SWAT-CUP, re-entered for SWAT model. As a result, the observed flow data were found to reflect the trend of simulated flow data. From these results, it is thought that this method could be used to provide daily flow data using 8-day interval flow data.

Gramene database: A resource for comparative plant genomics, pathways and phylogenomics analyses

  • Tello-Ruiz, Marcela K.;Stein, Joshua;Wei, Sharon;Preece, Justin;Naithani, Sushma;Olson, Andrew;Jiao, Yinping;Gupta, Parul;Kumari, Sunita;Chougule, Kapeel;Elser, Justin;Wang, Bo;Thomason, James;Zhang, Lifang;D'Eustachio, Peter;Petryszak, Robert;Kersey, Paul;Lee, PanYoung Koung;Jaiswal, kaj;Ware, Doreen
    • 한국작물학회:학술대회논문집
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    • 한국작물학회 2017년도 9th Asian Crop Science Association conference
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    • pp.135-135
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    • 2017
  • The Gramene database (http://www.gramene.org) is a powerful online resource for agricultural researchers, plant breeders and educators that provides easy access to reference data, visualizations and analytical tools for conducting cross-species comparisons. Learn the benefits of using Gramene to enrich your lectures, accelerate your research goals, and respond to your organismal community needs. Gramene's genomes portal hosts browsers for 44 complete reference genomes, including crops and model organisms, each displaying functional annotations, gene-trees with orthologous and paralogous gene classification, and whole-genome alignments. SNP and structural diversity data, available for 11 species, are displayed in the context of gene annotation, protein domains and functional consequences on transcript structure (e.g., missense variant). Browsers from multiple species can be viewed simultaneously with links to community-driven organismal databases. Thus, while hosting the underlying data for comparative studies, the portal also provides unified access to diverse plant community resources, and the ability for communities to upload and display private data sets in multiple standard formats. Our BioMart data mining interface enable complex queries and bulk download of sequence, annotation, homology and variation data. Gramene's pathway portal, the Plant Reactome, hosts over 240 pathways curated in rice and inferred in 66 additional plant species by orthology projection. Users may compare pathways across species, query and visualize curated expression data from EMBL-EBI's Expression Atlas in the context of pathways, analyze genome-scale expression data, and conduct pathway enrichment analysis. Our integrated search database and modern user interface leverage these diverse annotations to facilitate finding genes through selecting auto-suggested filters with interactive views of the results.

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Derivation of SST using MODIS direct broadcast data

  • Chung, Chu-Yong;Ahn, Myoung-Hwan;Koo, Ja-Min;Sohn, Eun-Ha;Chung, Hyo-Sang
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.638-643
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    • 2002
  • MODIS (MODerate-resolution Imaging Spectroradiometer) onboard the first Earth Observing System (EOS) satellite, Terra, was launched successfully at the end of 1999. The direct broadcast MODIS data has been received and utilized in Korea Meteorological Administration (KMA) since february 2001. This study introduces utilizations of this data, especially for the derivation of sea surface temperature (SST). To produce the MODIS SST operationally, we used a simple cloud mask algorithm and MCSST algorithm. By using a simple cloud mask algorithm and by assumption of NOAA daily SST as a true SST, a new set of MCSST coefficients was derived. And we tried to analyze the current NASA's PFSST and new MCSST algorithms by using the collocated buoy observation data. Although the number of collocated data was limited, both algorithms are highly correlated with the buoy SST, but somewhat bigger bias and RMS difference than we expected. And PFSST uniformly underestimated the SST. Through more analyzing the archived and future-received data, we plan to derive better MCSST coefficients and apply to MODIS data of Aqua that is the second EOS satellite. To use the MODIS standard cloud mask algorithm to get better SST coefficients is going to be prepared.

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대학의 연구실 안전관리를 위한 연구활동 종사자의 안전의식 차이에 관한 연구 - 일반대학, 전문대학, 폴리텍대학 - (A study on the difference in safety awareness of research employees working for laboratory safety management of university institutes - University, Junior College, Polytechnic Colleges-)

  • 권윤아;권영국
    • 대한안전경영과학회지
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    • 제17권3호
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    • pp.89-96
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    • 2015
  • The study was conducted with statical analysis of data (828 data in 2010, 752 data in 2012, 648 data in 2014) in order to evaluate laboratory awareness difference of research employees working in different types of universities. Results of the study were as follows: First, university institutes in the order of polytechnic colleges, university, and junior college showed the highest laboratory safety awareness in 'awareness and education of laboratorial safety regulation' and 'awareness in laboratory risk factors'. Second, the difference in safety awareness of universities by year(years that conducted current status survey) was the highest in year 2014, then in 2010, and in 2008. Third, the difference of research employees working for laboratory safety management by year(years that conducted current status) showed that university had the highest laboratory safety awareness in year 2010, but it changed to polytechnic colleges in year 2012 and 2014. Through this study, we could recognize the difference in safety awareness of research employees working in university institutes.

데이터베이스를 이용한 통합제어시스템 용(用) 공정 데이터 관리 시스템 (Data management system for integrated control system)

  • 신경봉;허우정;김문철;김응석;김왕길;황진식
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1996년도 하계학술대회 논문집 B
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    • pp.1260-1262
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    • 1996
  • There has been much interested on the issues of designing and implementing the data acquisition and display system. This paper describes how to acquire and manage the data to be generated from sensor sources in a manufacturing process. The functionality of this data management system is composed of data acquisition, database management, processing and display of the available data. Also, this system has a adaptability to be carried throughout configuration management.

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A VIDEO GEOGRAPHIC INFORMATION SYSTEM FOR SUPPORTING BI-DIRECTIONAL SEARCH FOR VIDEO DATA AND GEOGRAPHIC INFORMATION

  • Yoo, Jea-Jun;Joo, In-Hak;Park, Jong-Huyn;Lee, Jong-Hun
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2002년도 Proceedings of International Symposium on Remote Sensing
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    • pp.151-156
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    • 2002
  • Recently, as the geographic information system (GIS) which searches, manages geographic information is used more widely, there is more requests for some systems which can search and display more actual and realistic information. As a response to these requests, the video geographic information system which connects video data obtained by using cameras and geographic information as it is by displaying the obtained video data is being more popular. However, because most existing video geographic information systems consider video data as an attribute of geographic information or use simple one-way links from geographic information to video data to connect video data with geographic information, they support only displaying video data through searching geographic information. In this paper, we design and implement a video geographic information system which connects video data with geographic information and supports hi-directional search; searching geographic information through searching video data and searching video data through searching geographic information. To do this, we 1) propose an ER data model to represent connection information related to video data, geographic information, 2) propose a process to extract and to construct connection information from video data and geographic information, 3) show a component based system architecture to organize the video geographic information system.

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Development of a distributed high-speed data acquisition and monitoring system based on a special data packet format for HUST RF negative ion source

  • Li, Dong;Yin, Ling;Wang, Sai;Zuo, Chen;Chen, Dezhi
    • Nuclear Engineering and Technology
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    • 제54권10호
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    • pp.3587-3594
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    • 2022
  • A distributed high-speed data acquisition and monitoring system for the RF negative ion source at Huazhong University of Science and Technology (HUST) is developed, which consists of data acquisition, data forwarding and data processing. Firstly, the data acquisition modules sample physical signals at high speed and upload the sampling data with corresponding absolute-time labels over UDP, which builds the time correlation among different signals. And a special data packet format is proposed for the data upload, which is convenient for packing or parsing a fixed-length packet, especially when the span of the time labels in a packet crosses an absolute second. The data forwarding modules then receive the UDP messages and distribute their data packets to the real-time display module and the data storage modules by PUB/SUB-pattern message queue of ZeroMQ. As for the data storage, a scheme combining the file server and MySQL database is adopted to increase the storage rate and facilitate the data query. The test results show that the loss rate of the data packets is within the range of 0-5% and the storage rate is higher than 20 Mbps, both acceptable for the HUST RF negative ion source.

처방전달시스템(Order Communication System) 사용자의 직무만족도에 영향을 미치는 요인 (Factors Related to the Satisfaction of User for the Order Communication System)

  • 조성식;장숙진;문대수;천재우;박영진
    • 대한임상검사과학회지
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    • 제37권2호
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    • pp.102-110
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    • 2005
  • The purpose of this study was to examine the factors related to satisfaction of users for the order communication system (OCS). The subjects of this study were 98 clerks at Chosun university hospital. The instruments used for this study were the conveniency and the practical application of the data developed by Lee, the satisfaction level developed by Sea Seang-mi and Kim in-sook. The data was analyzed by using the t-test, ANOVA, Pearson Correlation, Stepwise Multiple Regression with SPSS 10.0 program. The mean scores of the conveniency, the practical application of the data and the satisfaction level of user for the OCS was 3.28, 3.29 and 3.34, respectively. In general characteristics of the respondents, influencing factors to the perceived the conveniency of user for the OCS were gender, career and department. In general characteristics of the respondents, influencing factors to the perceived the practical application of the data of user for the OCS were department. In general, characteristics of the respondents, influencing factors to the perceived the satisfaction level of user for the OCS were gender, career and department. The correlation between the satisfaction level and the practical application of the data were statistically significant. The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data (90.3%). In conclusion, The main factors influencing to the satisfaction level of user for the OCS were the practical application of the data. Therefore, it is recommended that guidebooks of user for the OCS or various OCS programs to promote the satisfaction level of user for the OCS and to improve the satisfaction level of user for the OCS should be developed.

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Defending Non-control-data Attacks using Influence Domain Monitoring

  • Zhang, Guimin;Li, Qingbao;Chen, Zhifeng;Zhang, Ping
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • 제12권8호
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    • pp.3888-3910
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    • 2018
  • As an increasing number of defense methods against control-data attacks are deployed in practice, control-data attacks have become challenging, and non-control-data attacks are on the rise. However, defense methods against non-control-data attacks are still deficient even though these attacks can produce damage as significant as that of control-data attacks. We present a method to defend against non-control-data attacks using influence domain monitoring (IDM). A definition of the data influence domain is first proposed to describe the characteristics of a variable during its life cycle. IDM extracts security-critical non-control data from the target program and then instruments the target for monitoring these variables' influence domains to ensure that corrupted variables will not be used as the attackers intend. Therefore, attackers may be able to modify the value of one security-critical variable by exploiting certain memory corruption vulnerabilities, but they will be prevented from using the variable for nefarious purposes. We evaluate a prototype implementation of IDM and use the experimental results to show that this method can defend against most known non-control-data attacks while imposing a moderate amount of performance overhead.