• Title/Summary/Keyword: 학습자원

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A Study of the Performance of Virtual Education Systems (가상교육 지원 시스템 성능에 관한 연구)

  • Lee, Young-Houn;Kang, Seong-Guk;Kim, Myeong-Ryeol
    • The Journal of Korean Association of Computer Education
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    • v.4 no.1
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    • pp.77-85
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    • 2001
  • The virtual education has extended its position as a new educational mean in the whole society. A lot of cyber campuses like the virtual training institutes and the remote colleges were newly formed. With the development of the technology related to the Internet, new systems that support smooth virtual education have appeared. But the systems that had no problems at first became low speed gradually with the increase of the learners and contents and there arose a lot of problems. The problems can be solved through upgrading the hardware equipments, but it needs a lot of expenses and there always exists waste of unnecessary system resources. Accordingly, this study is to test the performance of the server through the simulation under various situations and investigate the plan for improvement in order to grope for the plan that can improve the performance of the virtual education systems. It is fragmentary simulation. But if we would like to correct the server programs and complement it on the basis of these plans for improvement, we may expect the sufficient improvement of performance. Also it may have sufficient values as data for smooth virtual education.

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중소기업구조개선(中小企業構造改善)과 지역기술혁신체제(地域技術革新體制)

  • Park, Jun-Gyeong
    • KDI Journal of Economic Policy
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    • v.18 no.2
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    • pp.3-61
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    • 1996
  • 80년대초 이후 기술혁신의 가속으로 중소기업에서도 기술변화에 대한 적응이 경쟁력의 유지를 위한 핵심과제가 되면서, OECD 국가는 중소기업에 대한 과학기술정보(科學技術情報)의 이전(移轉)을 촉진하는 정부지원을 확충하였다. 경제성과의 개선을 위해서는 기술혁신만이 아니라 기술혁신의 성과를 확산시키는 것도 중요하다는 인식으로 중소기업의 경쟁력향상에 기여하는 과학기술정보의 공급확대를 위하여 연구개발사업(硏究開發事業)에 대한 지원을 강화하는 동시에 중소기업에 대한 과학기술정보의 이전을 촉진하기 위하여 과학기술정보의 공급원(供給源)(대학, 시험연구기관 등)과 중소기업을 연결하는 다양한 중개(仲介)(촉매(觸媒))기관(機關)의 설립 운영을 지원하고 있다. 연구개발과 과학기술정보이전에 관한 과학기술공급원과 중소기업간의 인식의 차이를 해소하기 위하여 정보교환(情報交換)과 인적교류(人的交流)를 확대하고 과학기술공급원이 제공하는 지식을 중소기업이 이용하기 쉬운 기술로 변환하기도 한다. 이러한 기능을 중개기관이 효과적으로 수행하기 위해서는 중소기업 사업자와 신뢰관계(信賴關係)를 구축하는 것이 긴요하며, 기술변화를 인지 수용하도록 유도하는 초기단계에서는 중소기업의 네트워크를 통하여 접근하는 것이 효과적이다. 이러한 기술확산과정(技術擴散過程)의 특성으로 인하여 지역혁신체제(地域革新體制)의 구축과 기술혁신정책(技術革新政策)의 지역화(地域化)가 강조되고 있다. 최근에 통상산업부와 과학기술처도 기술혁신정책의 지역화를 시도하고 있다. 연구기반과 산업기반을 고려하여 지역별로 다양한 유형의 산학연 공동연구기반이 구축될 계획이다. 기술혁신정책의 지역화는 시도단계에 불과하며 효율적인 지역혁신체제를 구축하기 위한 여건도 불리하다. 선진국에 비하여 대학과 연구기관의 연구자원(硏究資源)에서도 현격한 차이가 있으나, 네트워크의 혁신성을 좌우하는 지식집약형 중소기업의 비중과 중소기업기술개발의 혁신성에서도 선진국에 비하여 절대열위에 있다. 이러한 불리한 여건을 극복하기 위하여 중소기업의 혁신현장에 밀착된 지역의 전문가집단이 지역경제의 비전과 지역산업의 특수성을 고려하여 지역연구개발사업(地域硏究開發事業)을 전략적으로 기획하고 효율적으로 추진하며, 기획 추진과정에 참여하는 지역대학 지역시험연구기관 지역산업단체 등이 구성하는 지역사회(地域社會)의 협의체(協議體)가 정보공유(情報共有)와 공동학습(共同學習)을 통하여 지역혁신체제의 형성을 주도하고 경쟁과 협력의 조화를 통하여 기술혁신을 가속시키는 지역사회(地域社會)의 규범(規範)과 문화(文化)가 정착되도록 노력하며 중앙정부는 지역연구개발사업에 대한 지원에서 투명하고 합리적인 평가기준을 제시하고 지역산업의 혁신성과에 의하여 지원을 차등화(差等化)하는 경쟁원리를 도입하여 지역사회의 합리적 의사결정을 유도해야 한다.

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Feature Weighting for Opinion Classification of Comments on News Articles (뉴스 댓글의 감정 분류를 위한 자질 가중치 설정)

  • Lee, Kong-Joo;Kim, Jae-Hoon;Seo, Hyung-Won;Rhyu, Keel-Soo
    • Journal of Advanced Marine Engineering and Technology
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    • v.34 no.6
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    • pp.871-879
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    • 2010
  • In this paper, we present a system that classifies comments on a news article into a user opinion called a polarity (positive or negative). The system is a kind of document classification system for comments and is based on machine learning techniques like support vector machine. Unlike normal documents, comments have their body that can influence classifying their opinions as polarities. In this paper, we propose a feature weighting scheme using such characteristics of comments and several resources for opinion classification. Through our experiments, the weighting scheme have turned out to be useful for opinion classification in comments on Korean news articles. Also Korean character n-grams (bigram or trigram) have been revealed to be helpful for opinion classification in comments including lots of Internet words or typos. In the future, we will apply this scheme to opinion analysis of comments of product reviews as well as news articles.

A Study on the Development and Operation of a Curriculum Based on National Competency Standard (NCS) : Focus on the Case of Department of Real Estate and Urban Future at Hanyang Cyber University (국가직무능력표준(NCS) 기반 교육과정 개발 및 운영에 관한 연구 : H사이버대학 부동산도시미래학부 사례를 중심으로)

  • Ham, Nam-Hyuk;Kim, Jae-Jun;Yuh, Karen
    • The Journal of the Korea Contents Association
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    • v.16 no.3
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    • pp.694-711
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    • 2016
  • National Competency Standards (NCS) is a good resource for curriculum development and operations corresponding to the industrial damand. Recently, four-year colleges and universities are committed to a restructuring of the industry demand-driven training courses in order to strengthen competitiveness. However, NCS is focused to train the technical personnel in vocational training institutions(ex. College, Polytechnic University). Accordingly, NCS applications of four-year colleges and universities are hard to find. In this study, we propose a new model for NCS-based curriculum development and operations. Also, NCS was utilized to complement the existing curriculum. This paper includes the following contents; 1) NCS-based curriculum development process, 2) NCS-based course development and operation, 3) learner satisfaction analysis. Finally, this study provide practical implications to four-year colleges and universities to consider NCS application.

Self-Configuration System based on Context Adaptiveness (상황적응기능기반 자가구성 시스템)

  • Lee, Seung-Hwa;Lee, Eun-Seok
    • The KIPS Transactions:PartD
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    • v.12D no.4 s.100
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    • pp.647-656
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    • 2005
  • This paper proposes an adaptive resource self-management system that collects system resources, user information, and usage patterns as context information for utilization in self-configuration. This system ill ease the system maintenance burden on users by automation of large part of configuration tasks such as install, reconfiguration and update, and will also decrease cost and errors. Working from the gathered context information, this system allows users to select appropriate components and install them for user's system context. This also offers a more personalized configuration setting by using user's existing application setting and usage pattern. To avoid the overload on central server to transfer and manage related files, we employ Peer-to-Peer method. h prototype was developed to evaluate the system and a comparison study with the conventional methods of manual configuration and MS-IBM systems was conducted to validate the proposed system in terms of functional capacity, install time and etc.

An Effective Data Analysis System for Improving Throughput of Shotgun Proteomic Data based on Machine Learning (대량의 프로테옴 데이타를 효과적으로 해석하기 위한 기계학습 기반 시스템)

  • Na, Seung-Jin;Paek, Eun-Ok
    • Journal of KIISE:Software and Applications
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    • v.34 no.10
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    • pp.889-899
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    • 2007
  • In proteomics, recent advancements In mass spectrometry technology and in protein extraction and separation technology made high-throughput analysis possible. This leads to thousands to hundreds of thousands of MS/MS spectra per single LC-MS/MS experiment. Such a large amount of data creates significant computational challenges and therefore effective data analysis methods that make efficient use of computational resources and, at the same time, provide more peptide identifications are in great need. Here, SIFTER system is designed to avoid inefficient processing of shotgun proteomic data. SIFTER provides software tools that can improve throughput of mass spectrometry-based peptide identification by filtering out poor-quality tandem mass spectra and estimating a Peptide charge state prior to applying analysis algorithms. SIFTER tools characterize and assess spectral features and thus significantly reduce the computation time and false positive rates by localizing spectra that lead to wrong identification prior to full-blown analysis. SIFTER enables fast and in-depth interpretation of tandem mass spectra.

A Study on Construction and Management Tools for Biological Named Entity Dictionary (생물학적 개체명 사전을 위한 구축 및 관리 도구에 관한 연구)

  • Jang, Hyun-Chul;Kim, Tae-Hyun;Lee, Hyun-Sook;Park, Soo-Jun;Park, Seon-Hee
    • Annual Conference of KIPS
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    • 2003.11b
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    • pp.853-856
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    • 2003
  • 바이오 텍스트 마이닝을 위한 정보 추출의 첫 단계는 생물학적 문헌으로부터의 유전자, 단백질, 세포조직 등과 같은 생물학적 개체명의 인식이다. 생물학적 개체명의 명명법상 특징이 매우 다양하고 저자의 개성에 의해 쉽게 좌우되어 단순히 규칙이나 학습 방법 만으로는 쉽게 개체명들을 인식할 수 없다. 또한, 생물학 관련 문헌에 나오는 가능한 모든 개체명과 이들의 모든 변형을 수록하는 것은 현실적으로 불가능하므로 이를 해결하기 위해 이미 알려진 개체명에 대해서 기본적으로 사전을 탐색하고 알려지지 않은 용어들을 규칙과 통계 기반 방법을 통하여 인식하는 것이 효과적이다. 그러나 만족할 만한 수준의 양질의 사전을 구축하는 것은 쉽지 않을 뿐만 아니라 많은 비용이 소요되며, 어느 순간 만족할 만한 성능을 낼 수 있는 사전을 구축했다. 할지라도 유지 관리 하는 것이 결코 쉬운 일이 아니며 마찬가지로 많은 비용을 필요로 하게 된다. 따라서, 잘 구축된 자원으로부터 필요한 정보를 추출하여 적절한 사전을 자동으로 구축하여 활용하는 방법을 사용할 경우, 사전 구축 및 관리에 드는 많은 비용을 줄이면서도 상당히 효과적인 성능을 얻을 수 있을 것이다. 본 연구에서는 바이오 텍스트 마이닝 엔진을 위한 생물학적 개체명 사전을 자동으로 구축하고 이를 쉽게 관리하도록 하는 도구를 개발하였다.

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Automatic Identification of Database Workloads by using SVM Workload Classifier (SVM 워크로드 분류기를 통한 자동화된 데이터베이스 워크로드 식별)

  • Kim, So-Yeon;Roh, Hong-Chan;Park, Sang-Hyun
    • The Journal of the Korea Contents Association
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    • v.10 no.4
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    • pp.84-90
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    • 2010
  • DBMS is used for a range of applications from data warehousing through on-line transaction processing. As a result of this demand, DBMS has continued to grow in terms of its size. This growth invokes the most important issue of manually tuning the performance of DBMS. The DBMS tuning should be adaptive to the type of the workload put upon it. But, identifying workloads in mixed database applications might be quite difficult. Therefore, a method is necessary for identifying workloads in the mixed database environment. In this paper, we propose a SVM workload classifier to automatically identify a DBMS workload. Database workloads are collected in TPC-C and TPC-W benchmark while changing the resource parameters. Parameters for SVM workload classifier, C and kernel parameter, were chosen experimentally. The experiments revealed that the accuracy of the proposed SVM workload classifier is about 9% higher than that of Decision tree, Naive Bayes, Multilayer perceptron and K-NN classifier.

Development directions of voluntarism in University students (일부 지역 대학생들의 의료봉사 프로그램 개발)

  • Kim, Chang-Gyu;Lim, Mi-Ran
    • Journal of the Korea Convergence Society
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    • v.2 no.2
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    • pp.57-65
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    • 2011
  • Voluntarism as an ethics standard for the human race in the 21st Century, suggest to us partical and realistic measures as well as an ideological framework which can solve the problems in the national area. Volunteer activities in the society by university and university students are very important within the nation, provincial communities as well as in the country area. This study focuses on voluntary activities of university students of all the local university on gyungsang buk do after looking in to the present situation of voluntarism and issues and seeks to search into the policy issues that university students voluntary activities should be directed towards. For the active execution of college students voluntary activities, it is necessary to establish partnerships between local communities and university, policy support from the university authorities, program development and expansion of the boundaries of volunteer avtivities, and connections between university Health voluntary health center.

Development of Mathematics Test-preparation and Test-taking Strategies Scales for Elementary School Students (초등학교 수학 시험준비전략과 시험수행전략 검사 개발)

  • Yum, Sichang;Yu, Hyunseok
    • Journal of Elementary Mathematics Education in Korea
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    • v.19 no.1
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    • pp.57-80
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    • 2015
  • This study was to develop the mathematics test-preparation and the test-taking strategies scales for elementary school students. Elementary school students and teachers participated in developing factors and items of the mathematics test-preparation and test-taking strategies scales. The subjects were 857 students in 6th grade from 13 elementary schools in G-city. The variable-centered approach such as exploratory factor analyses, confirmatory factor analyses, and reliability analyses were used for validating the scales. The results of the study were as follows. First, the mathematics test-preparation and the test taking strategies scales for elementary school students consisted of three strategies: cognitive, metacognitive, and learning resources management strategies, respectively. Second, the mathematics test-preparation strategies scale for elementary school students comprised of three factors and 23 items, and the mathematics test-taking strategies scale three factors and 24 items. The scales could be used to assess elementary students' mathematics test-preparation and test-taking strategies and to further develop programs for enhancing strategies use.