• Title/Summary/Keyword: 데이터분석프로그램

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Program Development of Integrated Expression Profile Analysis System for DNA Chip Data Analysis (DNA칩 데이터 분석을 위한 유전자발연 통합분석 프로그램의 개발)

  • 양영렬;허철구
    • KSBB Journal
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    • v.16 no.4
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    • pp.381-388
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    • 2001
  • A program for integrated gene expression profile analysis such as hierarchical clustering, K-means, fuzzy c-means, self-organizing map(SOM), principal component analysis(PCA), and singular value decomposition(SVD) was made for DNA chip data anlysis by using Matlab. It also contained the normalization method of gene expression input data. The integrated data anlysis program could be effectively used in DNA chip data analysis and help researchers to get more comprehensive analysis view on gene expression data of their own.

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A Study on Performance Analysis Data Collection Method Using Batch-job Scheduler onLarge-Scale Cluster System (대규모 클러스터 시스템에서 배치작업 스케줄러를 활용한 성능 분석 데이터 수집 방법 연구)

  • Jae-Kook Lee;Min-Woo Kwon;Do-Sik An;Taeyoung Hong
    • Annual Conference of KIPS
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    • 2023.11a
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    • pp.37-39
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    • 2023
  • 사용자 응용 프로그램의 특징을 분석하고 효율적인 시스템 운영을 통하여 사용자 프로그램 최적화를 지원하기 위하여 소프트웨어 프로파일링을 수행한다. 특히 국가 슈퍼컴퓨터인 누리온과 같이 8,400대가 넘는 계산노드로 구성된 클러스터 시스템에서 응용 프로그램의 프로파일링 데이터를 사용자의 개입없이 수집하고 데이터를 분석하는 것에는 한계가 있다. 본 연구에서는 배치작업 스케줄러를 활용하여 사용자의 개입 없이 응용 프로그램의 프로파일링 데이터를 수집하기 위한 방법을 제안한다. 그리고 제안한 방법을 누리온에서 구현하고 사용자 응용 프로그램이 실행될 때 프로파일링 데이터가 수집되는 것을 확인한다.

Development of educational programs for managing medical information utilizing medical data generation and analysis techniques (의료 데이터 발생과 분석기술을 활용한 의료정보관리 교육용 프로그램 개발)

  • Choi, Joonyoung
    • Journal of Digital Convergence
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    • v.15 no.10
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    • pp.377-386
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    • 2017
  • This study has developed a medical information management educational program that can improve the management ability of medical information. The educational medical information management program was developed for 8mnths uing VB. The database utilized the ACCESS Database, which allows learners to easily understand and understand the structure of the data. The learners enter data in the discharge analysis and the cancer registration program and the incomplete program after analyze the medical records. After entering and saving data, medical information management programs can be used to understand and analyze the structure of the database to generate medical information. The educational programs can improve the ability of learners to manage medical information by extracting the necessary data from the database directly through SQL and creating various medical information. However, although the medical information management program is an educational program, there is no evaluation system for the learners program operation. Accordingly, the next studies should develop the assessment system of the medical information management program for learners evaluation.

An Examination of the Course Syllabi related to Data Science at the ALA-accredited Library and Information Science Programs (데이터사이언스 관련 교과목의 강의 계획서 분석: ALA의 인가를 받은 문헌정보학 프로그램을 중심으로)

  • Park, Hyoungjoo
    • Journal of the Korean Society for information Management
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    • v.39 no.1
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    • pp.119-143
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    • 2022
  • This preliminary study examined the status of data science-related course syllabi in the American Library Association (ALA) accredited Library and Information Science (LIS) programs. The purpose of this study was to explore LIS course syllabi related to data science, such as course title, course description, learning outcomes, and weekly topics. LIS programs offer various topics in data science such as the introduction to data science, data mining, database, data analysis, data visualization, data curation and management, machine learning, metadata, and computer programming. This study contributes to helping instructors develop or revise course materials to improve course competencies related to data science in the ALA-accredited LIS programs.

Applying Static Analysis to Improve Performance of Programs using Flash Memory Storage (플래시 메모리 저장 장치를 사용하는 프로그램의 성능 향상을 위한 정적 분석 기법의 응용)

  • Paik, Joon-Young;Cho, Eun-Sun
    • Journal of KIISE:Computing Practices and Letters
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    • v.16 no.12
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    • pp.1177-1187
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    • 2010
  • Flash memory becomes popular storage for small devices due to its efficiency, portability, low power consumption and large capacity. Unlike on hard disks, however, write operation on flash memory is much more expensive than read operation, so that it is critical for performance enhancement to reduce the number of executions of write operation. This paper proposes static analysis to rewrite a program to reduce the total number of write operations by merging writable data in a minimum number of pages. To achieve this, we collect information about writable areas by static analysis, and about frequently executed paths by profiling for practicality, and combine both to rewrite the application program to reallocate data. The performance enhancement gained from the proposed methods is shown using a FAST simulator.

WRL loader implementation for VRML rendering (VRML 렌더링을 위한 WRL분석기 구현)

  • 김세현;류승택;최정단;윤경현
    • Proceedings of the Korean Information Science Society Conference
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    • 2000.04b
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    • pp.658-660
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    • 2000
  • VRML 데이터를 지원하는 3차원 기반의 응용프로그램 제작을 위하여 VRML 데이터 파일인 WRL을 분석하고, WRL을 읽어들일 수 있는 파서(parser)를 제작하였다. 제작된 파서는 VRML의 구조를 계층적으로 보여주는 프로그램과, 읽어들인 데이터를 바탕으로 가상공간을 네비게이션(navigation)하는 프로그램을 통해 검증하였다. 본 논문에서는 응용프로그램의 요구에 수준에 따라 WRL의 정보를 효율적으로 분석하는 방법과, 읽어들인 정보를 가공하여 렌더링에 적용하는 방법을 설명하였다.

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A Static Analysis of Android Programs (안드로이드 프로그램 정적 분석 고찰)

  • Lee, Ho-Seok
    • Proceedings of the Korean Information Science Society Conference
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    • 2012.06c
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    • pp.227-229
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    • 2012
  • 본 논문은 Android 프로그램의 정적 분석 방법을 논의한다. Android 프로그램 정적 분석의 목적은 오류발견, 개인정보 해킹 코드 발견, 바이러스 발견, 프로그램 분류 등등이다. 본 논문에서는 Android 프로그램의 분석을 위하여 구문 패턴 정적 분석과 프로그램으로부터 객체 다이아그람과 Flowchart 를 생성하여 프로그램 동적 실행을 추정하여 분석하는 통합된 정적 분석 방법을 논의한다. 프로그램 실행 추정 분석은 프로그램에서 객체 생성, 메소드 호출, 데이터 흐름, 실행 흐름, API 호출과 진행 과정 등을 추정하여, 구문 패턴 정적 분석만으로는 파악하지 못하는 프로그램 실행의 동적 분석이 가능하도록 한다.

A Study on the Operation Plans for Seongnam Public Library Programs in the Post-COVID-19 Era (포스트 코로나 시대 성남시 도서관의 문화프로그램 운영 방안 연구)

  • Song, Min Sun
    • Journal of Convergence for Information Technology
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    • v.12 no.4
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    • pp.177-186
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    • 2022
  • The purpose of this study is to suggest operation plans for library programs in preparation for the post-COVID-19 by analyzing the current status of library programs before and after the outbreak of COVID-19 based on the data of the Seongnam public libraries on the Public Data Portal. So, based on 1,317 data collected through the data purification process for duplicates and errors in the files uploaded by Seongnam City, ①programs' subject & type, ②program target users, ③program operation types(online or offline), ④program operating time & number of days, ⑤characteristics of programs preferred by users etc. were analyzed. As results of the analysis, online programs were not operated at all before COVID-19, but online programs started to be operated in earnest after August 2020. Also, there were many experiential activity lectures for infants and elementary school students in 2019, but reading activity lectures for adults and elementary school students increased in 2020. There were many types of online lectures, such as real-time lectures using online video conferencing programs, YouTube video viewing & live broadcasting, and the use of Naver Band & Cafe.

Development of Education Programs for Sports Clubs using Sports Data (운동부를 위한 스포츠 데이터 활용 교육 프로그램 개발)

  • Kim, Semin;Woo, SungHee
    • Journal of Practical Engineering Education
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    • v.13 no.3
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    • pp.435-442
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    • 2021
  • In this study, a program was developed to educate the students and athletes of the school sports team on the overall knowledge of using sports data. Accordingly, existing research and requirements for using sports data were analyzed, a learning plan was designed, and an education program was developed in a step-by-step manner according to the educational requirements. In addition, as there is no research yet on data science education for school athletics and adult sports officials in existing studies, this study includes the problem definition, data collection, data pre-processing, and data analysis, as well as the additional stages of data visualization and simulation analysis. It is expected that the sports industry's interest in sports data will increase through this study.

A Study on Regional-customizededucation program selection model using big data analysis (빅데이터 분석을 활용한 지역 맞춤형 교육프로그램 선정 모형 개발)

  • Hyeon-Seong Kim;Jin-Sook Kim
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.2
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    • pp.381-388
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    • 2023
  • This thesis is purposed to develop a regional-customized education program selection model using big data analysis. Based on the literature review, the concepts and characteristics of big data and lifelong education are analyzed. In addition, this thesis presents how to collect the data for lifelong education and to use big data suitable for the characteristics of lifelong education. Based on these results, a regional- customized lifelong education program selection model is developed. The regional customized lifelong education program model is developed by the following six steps. The customized education program model proposed in this study has a high degree of flexibility in terms of practical use, as it can be utilized in real-time data provision methods such as the nationally approved Lifelong Learning Personal Status Survey without the need for analysis one year later, allowing for selective analysis and future predictions. It is clear that there is a significant need and value for big data in the education field. Furthermore, all programs used in the sample model are provided free of charge, and due to the programming nature, the community is actively engaged in exchanges, making it very easy to modify and improve for the development of a more complete education program model in the future.