• 제목/요약/키워드: Knowledge-driven

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농업ㆍ농촌정보화 추진을 위한 KMS 구축방향

  • 정호진
    • 한국데이타베이스학회:학술대회논문집
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    • 한국데이타베이스학회 1999년도 국제컨퍼런스 디지털컨텐츠 활용을 통한 지식경영의 확산
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    • pp.299-310
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    • 1999
  • 세계는 부가가치 창출의 원천이 되는 토지ㆍ노동ㆍ자본이던 산업사회에서 지식ㆍ정보가 주된 요소인 지식기반경제 (Knowledge-Driven Economy)로 진입 o 노동ㆍ자본 투입량보다 지식의 축적ㆍ활용이 경제발전 핵심. (중략)

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정답문서집합 자동 구축을 위한 속성 기반 분류 방법 (Attribute-Based Classification Method for Automatic Construction of Answer Set)

  • 오효정;장문수;장명길
    • 한국정보과학회논문지:소프트웨어및응용
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    • 제30권7_8호
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    • pp.764-772
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    • 2003
  • 본 논문에서는 사용자에게 보다 유용한 정보를 제공하기 위하여 개념의 활용분야에 따른 속성 분류 기법이라는 새로운 분류 기법을 제안하고, 이를 활용해 정답문서집합 지식베이스를 자동으로 구축하는 방안을 제시한다. 제안된 방법은 범주간의 구분이 유동적인 속성의 특성을 반영하기 위하여 속성 특징(clue)을 활용함으로써 분류 정확도를 높이고, 개념망에 정의된 개념들 사이의 관계를 참조함으로써 지식베이스를 구축하기 위한 노력과 비용을 최소화하여 점진적인 분류기 생성을 가능하게 한다. 실험을 통해 제안된 방법의 정확도와 효율성을 입증하였으며, 정답문서기반 정보검색 시스템을 위한 정답문서집합 구축과정에 적용시킨 결과를 제시함으로써 방법의 실제 효용성을 보였다.

Knowledge-driven speech features for detection of Korean-speaking children with autism spectrum disorder

  • Seonwoo Lee;Eun Jung Yeo;Sunhee Kim;Minhwa Chung
    • 말소리와 음성과학
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    • 제15권2호
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    • pp.53-59
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    • 2023
  • Detection of children with autism spectrum disorder (ASD) based on speech has relied on predefined feature sets due to their ease of use and the capabilities of speech analysis. However, clinical impressions may not be adequately captured due to the broad range and the large number of features included. This paper demonstrates that the knowledge-driven speech features (KDSFs) specifically tailored to the speech traits of ASD are more effective and efficient for detecting speech of ASD children from that of children with typical development (TD) than a predefined feature set, extended Geneva Minimalistic Acoustic Standard Parameter Set (eGeMAPS). The KDSFs encompass various speech characteristics related to frequency, voice quality, speech rate, and spectral features, that have been identified as corresponding to certain of their distinctive attributes of them. The speech dataset used for the experiments consists of 63 ASD children and 9 TD children. To alleviate the imbalance in the number of training utterances, a data augmentation technique was applied to TD children's utterances. The support vector machine (SVM) classifier trained with the KDSFs achieved an accuracy of 91.25%, surpassing the 88.08% obtained using the predefined set. This result underscores the importance of incorporating domain knowledge in the development of speech technologies for individuals with disorders.

자료기반 물환경 모델의 현황 및 발전 방향 (Data-Driven Modeling of Freshwater Aquatic Systems: Status and Prospects)

  • 차윤경;신지훈;김영우
    • 한국물환경학회지
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    • 제36권6호
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    • pp.611-620
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    • 2020
  • Although process-based models have been a preferred approach for modeling freshwater aquatic systems over extended time intervals, the increasing utility of data-driven models in a big data environment has made the data-driven models increasingly popular in recent decades. In this study, international peer-reviewed journals for the relevant fields were searched in the Web of Science Core Collection, and an extensive literature review, which included total 2,984 articles published during the last two decades (2000-2020), was performed. The review results indicated that the rate of increase in the number of published studies using data-driven models exceeded those using process-based models since 2010. The increase in the use of data-driven models was partly attributable to the increasing availability of data from new data sources, e.g., remotely sensed hyperspectral or multispectral data. Consistently throughout the past two decades, South Korea has been one of the top ten countries in which the greatest number of studies using the data-driven models were published. Among the major data-driven approaches, i.e., artificial neural network, decision tree, and Bayesian model, were illustrated with case studies. Based on the review, this study aimed to inform the current state of knowledge regarding the biogeochemical water quality and ecological models using data-driven approaches, and provide the remaining challenges and future prospects.

Job Creation during Korea's Transition to a Knowledge Economy

  • CHOI, KYUNGSOO
    • KDI Journal of Economic Policy
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    • 제44권3호
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    • pp.75-99
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    • 2022
  • This paper analyzes job creation when the Korean economy transitioned to a knowledge economy from the 1990s to the 2010s. During this period, the ratio of service to manufacturing jobs increased, knowledge intensive industries grew, and job creation became geographically concentrated around Seoul. The changes slowed down in the 2010s, and overall job growth weakened. To analyze the effect of job creation driver industries during this period, the main part of which are knowledge intensive tradable service industries, on local service job creation, I use a modified version of the local labor market of Moretti (2010). I analyze the job changes during 1995-2005 and during 2006-2016 in 237 Si-Gun-Gu areas in the Census on Establishments datasets. I find that one manufacturing job creates 0.5 local service jobs and that one tradable service job creates 1.1 jobs within Gu areas of metro cities and 2.3 jobs in Si-Gun areas. The job creation relationship between the tradable and local service sectors was not altered in this period. As more jobs were created in the tradable sector driven by the transition to a knowledge economy, job creation overall remained active, with the opposite also being true.

보안 헬스 정보 교환을 이용한 온톨로지 지식기반 상황인식 U-헬스케어 어플리케이션 서비스 프레임워크 설계 (Ontology Knowledge-Driven Context-awere U-Healthcare Service Application Service Framework using Secure Health Information Exchange)

  • 김동현;김석수;최이정
    • 융합보안논문지
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    • 제14권7호
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    • pp.75-84
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    • 2014
  • 예방 의료에서 유비쿼터스 헬스케어는 노인 환자들의 수명연장에 대한 연구로 발전되고 있다. 이와 같은 연구들은 수명 연장 및 불의의 사고를 예방하기 위하여 모바일과 무선센서 기술을 사용하여 삶의 질을 향상 시켜 수명을 연장시키고 있다. 그러나 인터넷을 통해 유비쿼터스 헬스케어 응용프로그램이 모바일화 및 보급이 용이해짐에 따라 u-헬스정보 보호와 보안에 대한 위협이 증가하고 관심을 받고 있다. 따라서 본 논문에서는 보안 헬스 정보 교환 기술을 적용한 온톨로지를 이용하는 유헬스 케어 어플리케이션의 지식기반 상황인식 서비스 프레임워크를 제안한다. 본 연구에서는 유비쿼터스 컴퓨팅 환경에서 상황 영역의 보안 헬스 정보 교환 기술을 적용한 온톨로지를 위한 보편적인 어플리케이션 영역에서 상황 추론, 상황 모델링, 지식 기반 지원을 적용하는 것이다. 본 논문에서는 예방 서비스 질 변화를 위한 모바일 웹서비스, 상황 기술, 지식베이스에 대하여 논의한다.

제조업종의 표준 업무프로세스 개발 연구 (A Study on Process-driven Standardization in Manufacturing Industries)

  • 김훈태;정한일;한정우;양은찬;임춘성
    • 한국전자거래학회:학술대회논문집
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    • 한국전자거래학회 2001년도 International Conference CALS/EC KOREA
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    • pp.277-288
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    • 2001
  • Nowadays, for the competitive power of an enterprise, there are many attempts to implement information system that could support business innovation by business process re-engineering. However, there is no effort to standardize the core business processes of enterprise based on standards of data, documents. These facts make it difficult to introduce and implement enterprise information system designed by business processes of the higher level. Therefore, standardization of business process by analyzing the functionality and relationships among them are important and necessary. The results of our research are summarized as process-driven standardization (standardization of core business processes) and development of a repository. In process-driven standardization, we proposed the reference model by analyzing the business processes of the leading enterprises for core business processes. The reference model focuses on core business processes, such as sales management, procurement management, production management, logistics management, and customer support in manufacturing industry. We developed a knowledge-based system as a repository for a integrated management system of business process. And this repository was built up web-based system for the purpose of both reference and management.

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PIV 기법과 Digital Mask 기법을 적용한 버블유동 측정 (The Measurement of Bubble Driven Flow Using PIV and Digital Mask Technique)

  • 김상문;김현동;김경천
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2008년도 추계학술대회B
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    • pp.2700-2703
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    • 2008
  • An experiment on bubble-driven flow was performed in order to understand fundamental knowledge of flow structure around a rising bubble in a stagnant fluid. The measurement technique consists of a combination of the three most often used PIV techniques in multiphase flows: PIV with fluorescent tracer particles, the digital phase separation with a masking technique and a shadowgraphy. The key point of the measurement is that the background intensity of a PIV recording can be shifted to a higher level than a bubble region using a shadowgraphy in order to distinguish from fluorescent particles and a bubble as well. Flow fields were measured without an inaccurate analysis around a fluid-bubble interface by using only one camera simply.

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기업의 시장지향성과 투자의사결정 (Market orientation and investment decision of firms)

  • 표경민
    • 지식경영연구
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    • 제20권4호
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    • pp.119-129
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    • 2019
  • This paper is aim to test how market orientation is related to the investment decision making. After controlling for firm-specific factors, this study finds a significantly positive relationship between market orientation and R&D expenditures, especially firms with high ratio of intangible assets and low ratio of abnormal inventory assets. Under conditions of low quality of earnings, the negative relation between market orientation and R&D expenditures is enhanced in electronic related industries. This indicates that the relation between market orientation and R&D expenditures may exhibit more reasonable patterns for investment decision of firms in technology driven business environment.

가정 교과교육학 지식 관점에서 본 중등 가정과교사 임용시험 문항 분석 (An Analysis of the Items for the Home Economics Teacher Selection Test from the Perspective of the Pedagogical Content Knowledge in Home Economics Education)

  • 유난숙
    • 대한가정학회지
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    • 제49권1호
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    • pp.1-16
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    • 2011
  • This study analyzed the items for the Home Economics teacher selection test, which were carried out through the school year 2002 to 2010, based on Pedagogical Content Knowledge in Home Economics Education (H-PCK). Two frameworks were used: (1) H-PCK matrix transformed from the Content Knowledge in Home Economics Education (H-CK) and the Pedagogical Knowledge; (2) Five components of H-PCK. The results of this study were as follows: (1) The test items were classified into H-CK items and H-PCK items from the H-PCK matrix analysis. (2) While the number of items on knowledge of teaching strategies was the highest, no item on knowledge of understanding students was identified. Since the test can be considered as Measurement-Driven Instruction, it will have backward influences on the teacher education program in universities. Thus, if promising and capable new Home Economics teachers are to be recruited, the test items should include all the components of H-PCK.