• Title/Summary/Keyword: Knowledge-driven

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농업ㆍ농촌정보화 추진을 위한 KMS 구축방향

  • 정호진
    • Proceedings of the Korea Database Society Conference
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    • 1999.10a
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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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Attribute-Based Classification Method for Automatic Construction of Answer Set (정답문서집합 자동 구축을 위한 속성 기반 분류 방법)

  • 오효정;장문수;장명길
    • Journal of KIISE:Software and Applications
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    • v.30 no.7_8
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    • pp.764-772
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    • 2003
  • The main thrust of our talk will be based on our experience in developing and applying an attribute-based classification technique in the context of an operational answer set driven retrieval system. To alleviate the difficulty and reduce the cost of manually constructing and maintaining answer sets, i.e., knowledge base, we have devised a new method of automating the answer document selection process by using the notion of attribute-based classification, which is in and of itself novel. We attempt to explain through experiments how helpful the proposed method is for the knowledge base construction process.

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

  • Seonwoo Lee;Eun Jung Yeo;Sunhee Kim;Minhwa Chung
    • Phonetics and Speech Sciences
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    • v.15 no.2
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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.

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

  • Cha, YoonKyung;Shin, Jihoon;Kim, YoungWoo
    • Journal of Korean Society on Water Environment
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    • v.36 no.6
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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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    • v.44 no.3
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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.

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

  • Kim, Donghyun;Kim, Seoksoo;Choi, E-Jung
    • Convergence Security Journal
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    • v.14 no.7
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    • pp.75-84
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    • 2014
  • The advancement in ubiquitous healthcare specifically in preventive healthcare can lead to longer life expectancy especially for the elderly patients. To aid in preventing premature loss of lives as well as lengthening life span, this research aims to implement the use of mobile and wireless sensor technology to improve the quality of life and lengthen life expectancy. The threats to privacy and security have received increasing attention as ubiquitous healthcare applications over the Internet become more prevalent, mobile and universal. Therefore, we propose Context-aware Service of U-Healthcare Application based Knowledge using Ontology in secure health information exchange. This research also applies ontology in secure information exchange to support knowledge base, context modeling, and context reasoning by applying the general application areas for ontologies to the domain of context in ubiquitous computing environments. This paper also demonstrates how knowledge base, context technologies, and mobile web services can help enhance the quality of services in preventive ubiquitous healthcare to elderly patients.

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

  • 김훈태;정한일;한정우;양은찬;임춘성
    • Proceedings of the CALSEC Conference
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    • 2001.08a
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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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The Measurement of Bubble Driven Flow Using PIV and Digital Mask Technique (PIV 기법과 Digital Mask 기법을 적용한 버블유동 측정)

  • Kim, Sang-Moon;Kim, Hyun-Dong;Kim, Kyung-Chun
    • Proceedings of the KSME Conference
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    • 2008.11b
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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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Market orientation and investment decision of firms (기업의 시장지향성과 투자의사결정)

  • Pyo, Gyungmin
    • Knowledge Management Research
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    • v.20 no.4
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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.

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

  • Yu, Nan-Sook
    • Journal of the Korean Home Economics Association
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    • v.49 no.1
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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.