• 제목/요약/키워드: experimental database

검색결과 1,085건 처리시간 0.022초

데이터베이스 시스템을 위한 EBORD 성능 평가 방법론 (The EBORD Benchmark for Database Systems)

  • 정회진;이상호
    • Journal of Information Technology Applications and Management
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    • 제12권2호
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    • pp.29-43
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    • 2005
  • The paper presents the EBORD (Extended Benchmark for Object-Relational Databases) benchmark, which is an extension of the BORD benchmark for object-relational databases. The EBORD benchmark is developed to evaluate the database common functions that should be supported in modern database systems. Besides the 36 test queries already defined in the BORD benchmark, totally 22 test queries in five categories are newly defined in order to measure the index-relevant performance issues and database import capabilities. The EBORD benchmark also features scalability, use of a synthesized database, and a query-oriented evaluation. In order to show the feasibility of the proposed benchmark, we implement it with two commercial database systems. The experimental results and analyses are also reported.

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철골접합부 상세별 에너지 소산 (Energy Dissipation of Steel Connection Details)

  • 김장훈
    • 한국지진공학회:학술대회논문집
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    • 한국지진공학회 2003년도 추계 학술발표회논문집
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    • pp.155-162
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    • 2003
  • The evolved energy concept has been demonstrated to fir the seismic evaluation of various steel connection details with the objective basis. For this, the strain energy stored in the structural system obtained from the experimental database has been normalized by that of a benchmark system. In this notion, the ideal elastic-perfectly plastic structural system has been assumed as a benchmark. In addition, the attempt shows that those previously peformed experimental database can be recycled to have further significance.

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DNA Chip Database for the Korean Functional Genomics Project

  • Kim, Sang-Soo
    • 한국생물정보학회:학술대회논문집
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    • 한국생물정보시스템생물학회 2001년도 제2회 생물정보 워크샵 (DNA Chip Bioinformatics)
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    • pp.11-28
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    • 2001
  • The Korean functional Genomics Project focuses on stomach and liver cancers. Specimens collected by six hospital teams are used in BNA microarray experiments. Experimental conditions, spot measurement data, and the associated clinical information are stored in a relational database. Microarray database schema was developed based on EBI's ArrayExpress. A diagrammatic representation of the schema is used to help navigate over marty tables in the database. Field description, table-to-table relationship, and other database features are also stored in the database and these are used by a PERL interface program to generate web-based input forms on the fly. As such, it is rather simple to modify the database definition and implement controlled vocabularies. This PERL program is a general-purpose utility which can be used for inputting and updating data in relational databases. It supports file upload and user-supplied filters of uploaded data. Joining related tables is implemented using JavaScripts, allowing this step to be deferred to a later stage. This feature alleviates the pain of inputting data into a multi-table database and promotes collaborative data input among several teams. Pathological finding, clinical laboratory parameters, demographical information, and environmental factors are also collected and stored in a separate database. The same PERL program facilitated developing this database and its user-interface.

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Analysis of Impact Between Data Analysis Performance and Database

  • Kyoungju Min;Jeongyun Cho;Manho Jung;Hyangbae Lee
    • Journal of information and communication convergence engineering
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    • 제21권3호
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    • pp.244-251
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    • 2023
  • Engineering or humanities data are stored in databases and are often used for search services. While the latest deep-learning technologies, such like BART and BERT, are utilized for data analysis, humanities data still rely on traditional databases. Representative analysis methods include n-gram and lexical statistical extraction. However, when using a database, performance limitation is often imposed on the result calculations. This study presents an experimental process using MariaDB on a PC, which is easily accessible in a laboratory, to analyze the impact of the database on data analysis performance. The findings highlight the fact that the database becomes a bottleneck when analyzing large-scale text data, particularly over hundreds of thousands of records. To address this issue, a method was proposed to provide real-time humanities data analysis web services by leveraging the open source database, with a focus on the Seungjeongwon-Ilgy, one of the largest datasets in the humanities fields.

Prediction of the shear capacity of reinforced concrete slender beams without stirrups by applying artificial intelligence algorithms in a big database of beams generated by 3D nonlinear finite element analysis

  • Markou, George;Bakas, Nikolaos P.
    • Computers and Concrete
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    • 제28권6호
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    • pp.533-547
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    • 2021
  • Calculating the shear capacity of slender reinforced concrete beams without shear reinforcement was the subject of numerous studies, where the eternal problem of developing a single relationship that will be able to predict the expected shear capacity is still present. Using experimental results to extrapolate formulae was so far the main approach for solving this problem, whereas in the last two decades different research studies attempted to use artificial intelligence algorithms and available data sets of experimentally tested beams to develop new models that would demonstrate improved prediction capabilities. Given the limited number of available experimental databases, these studies were numerically restrained, unable to holistically address this problem. In this manuscript, a new approach is proposed where a numerically generated database is used to train machine-learning algorithms and develop an improved model for predicting the shear capacity of slender concrete beams reinforced only with longitudinal rebars. Finally, the proposed predictive model was validated through the use of an available ACI database that was developed by using experimental results on physical reinforced concrete beam specimens without shear and compressive reinforcement. For the first time, a numerically generated database was used to train a model for computing the shear capacity of slender concrete beams without stirrups and was found to have improved predictive abilities compared to the corresponding ACI equations. According to the analysis performed in this research work, it is deemed necessary to further enrich the current numerically generated database with additional data to further improve the dataset used for training and extrapolation. Finally, future research work foresees the study of beams with stirrups and deep beams for the development of improved predictive models.

데이터베이스를 이용한 서보제어방식의 절곡기 개발에 관한 연구 (A Study on Development of Press Brake by Data-based Servo Control System)

  • 김경석;강기수;송충현;김성식
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2002년도 춘계학술대회 논문집
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    • pp.416-421
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    • 2002
  • The purpose of t his paper is to database each factors from experimental results and develop the servo-controlled feeding system on these database. At first, spring back and bending farce are analyzed by basic theory of bending processing. In database, through practical experiment by the expert various types of bending angel and thickness of plate are tested and classified with SB34P and Aluminum. For the development of servo-controlled feeding system, automatic feeding system is designed and manufactured with ball screw and LM guide and performance of the developed feeding system is tested under condition of standard machine tool examination. Also, Mechanical consideration of mainframe in press brake, development of controller based on NC, program for servo-control are studied. Finally, based on experimental data, the system is operated and compared with theoretical data

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Shear strength prediction for SFRC and UHPC beams using a Bayesian approach

  • Cho, Hae-Chang;Park, Min-Kook;Hwang, Jin-Ha;Kang, Won-Hee;Kim, Kang Su
    • Structural Engineering and Mechanics
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    • 제74권4호
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    • pp.503-514
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    • 2020
  • This study proposes prediction models for the shear strength of steel fiber reinforced concrete (SFRC) and ultra-high-performance fiber reinforced concrete (UHPC) beams using a Bayesian parameter estimation approach and a collected experimental database. Previous researchers had already proposed shear strength prediction models for SFRC and UHPC beams, but their performances were limited in terms of their prediction accuracies and the applicability to UHPC beams. Therefore, this study adopted a statistical approach based on a collected database to develop prediction models. In the database, 89 and 37 experimental data for SFRC and UHPC beams without stirrups were collected, respectively, and the proposed equations were developed using the Bayesian parameter estimation approach. The proposed models have a simplified form with important parameters, and in comparison to the existing prediction models, provide unbiased high prediction accuracy.

인삼양영탕을 이용한 실험연구 분석 (Analysis of experimental studies on Insamyangyoung-tang)

  • 최송이;김윤희;이혜원
    • 대한예방한의학회지
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    • 제19권2호
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    • pp.145-157
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    • 2015
  • Objective : This study aimed to analyze a comprehensive feature of experimental research on Insamyangyoungtang and develop a strategy that can be used for experimental studies on Insamyangyoung-tang in the future. Method : The journal search was performed using six databases : PubMed, Chinese database (China Network Knowledge Infrastructure, [CNKI]), Japan database (Japan Science and Technology Information Aggregator, Electronic, [J-STAGE]) and three Korean databases (Oriental Medicine Advanced Searching Integrated System [OASIS], Research Information Service System [RISS], and Korean Studies Information Service System [KISS]). We used limited keywords and analyzed studies by publication year, experimental models, and the subjects of biological activities. The mechanism of pharmacological activity in accordance with the therapeutic effects of Insamyangyoung-tang was noted. Results and Conclusion : A total of 43 studies (6 domestic studies and 37 foreign ones) were examined according to the inclusion criteria of the experimental study. Research on the pharmacological activities of Insamyangyoung-tang showed its therapeutic effects on the nervous and immune systems, as well as its anti-aging, anti-fatigue, and hematopoietic effects. Additional efficacy and safety assessments and experimental and clinical studies should be performed to evaluate the mechanism of Insamyangyoung-tang. The present review has provided preliminary information for further studies on Insamyangyoung-tang.

A new statistical approach for joint shear strength determination of RC beam-column connections subjected to lateral earthquake loading

  • Kim, Jaehong;LaFavet, James M.;Song, Junho
    • Structural Engineering and Mechanics
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    • 제27권4호
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    • pp.439-456
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    • 2007
  • Reinforced concrete (RC) joint shear strength models are constructed using an experimental database in conjunction with a Bayesian parameter estimation method. The experimental database consists of RC beam-column connection test subassemblies that maintained proper confinement within the joint panel. All included test subassemblies were subjected to quasi-static cyclic lateral loading and eventually experienced joint shear failure (either in conjunction with or without yielding of beam reinforcement); subassemblies with out-of-plane members and/or eccentricity between the beam(s) and the column are not included in this study. Three types of joint shear strength models are developed. The first model considers all possible influence parameters on joint shear strength. The second model contains those parameters left after a step-wise process that systematically identifies and removes the least important parameters affecting RC joint shear strength. The third model simplifies the second model for convenient application in practical design. All three models are unbiased and show similar levels of scatter. Finally, the improved performance of the simplified model for design is identified by comparison with the current ACI 352R-02 RC joint shear strength model.

Cereal Resources in National BioResource Project of Japan

  • Sato, Kazuhiro;Endo, Takashi R.;Kurata, Nori
    • Interdisciplinary Bio Central
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    • 제2권4호
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    • pp.13.1-13.8
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    • 2010
  • The National BioResource Project of Japan is a governmental project to promote domestic/international research activities using biological resources. The project has 27 biological resources including three cereal resources. The core center and sub-center which historically collected the cereal resources were selected for each cereal program. These resources are categorized into several different types in the project; germplasm, genetic stocks, genome resources and database information. Contents of rice resources are wild species, local varieties in East and Southwest Asia & wild relatives, MNU-induced chemical mutant lines, marker tester lines, chromosome substitution lines and other experimental lines. Contents of wheat resources are wild strains, cultivated strains, experimental lines, rye wild and cultivated strains; EST clones and full-length cDNA clones. Contents of barley resources are cultivar and experimental lines, core collection, EST/cDNA clones, BAC clones, their filters and superpool DNA. Each resource is accessible from the online database to see the contents and information about the resources. Links to the genome information and genomic tools are also important function of each database. The major contents and some examples are presented here.