• Title/Summary/Keyword: Regional learning

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Character Recognition using Regional Structure

  • Yoo, Suk Won
    • International Journal of Advanced Culture Technology
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    • v.7 no.1
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    • pp.64-69
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    • 2019
  • With the advent of the fourth industry, the need for office automation with automatic character recognition capabilities is increasing day by day. Therefore, in this paper, we study a character recognition algorithm that effectively recognizes a new experimental data character by using learning data characters. The proposed algorithm computes the degree of similarity that the structural regions of learning data characters match the corresponding regions of the experimental data character. It has been confirmed that satisfactory results can be obtained by selecting the learning data character with the highest degree of similarity in the matching process as the final recognition result for a given experimental data character.

Capacity Building Programs for Emerging Countries by the Korean Regional Innovation Model: Policy Analysis and Suggestions (한국형 지역혁신모델의 신흥국 전수사업 : 정책분석과 제안)

  • Kim, Hak-Min
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.19 no.3
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    • pp.75-82
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    • 2018
  • Recently, emerging countries have been paying attention to Korean economic development policy, trying to adopt the Korean regional innovation model. Korea is also interested in exporting its regional innovation model and enhancing economic cooperation with those countries. This paper aims to analyze the capacity-building programs of the Korean regional innovation model for emerging countries and suggests policies for it. For this purpose, the local innovators' participation patterns in the process of collaborative learning/networking/interaction are investigated with a focused group-interview method. From an analysis of the programs supported by Korean organizations, this study finds that the correlation coefficient between the training time of capacity building and the participation rate of local members' collaborative learning is very high (0.975). Since the correlation coefficient between the participation rates of collaborative learning and networking is relatively low (0.667), a policy to link local collaborative learning to networking should be provided. As the correlation coefficient between the participation rates of networking and interaction is high (0.950), networking is a key to regional innovation. This study recommends activity programs to promote networking among local innovators, rather than training and consulting programs. As introduced in the Chungnam Techno Park case, this study suggests that the capacity-building program should include programs to initiate a collaborative learning network, to create a local-demand, regional innovation model, and to operate the regional innovation platform, which should be done by local innovators in the emerging countries.

Research on the Types of Regional Public Facilities that appear in the Elementary School Curriculum - For Seoul Village-Coupled School Regional Experiential Activity - (초등학교 교과과정에 나타나는 지역공공시설 유형에 관한 연구 - 서울시 마을결합형학교 지역체험활동을 위한 -)

  • Son, Suk-Eui;Kim, Seung-Je
    • Journal of the Korean Institute of Educational Facilities
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    • v.27 no.4
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    • pp.3-10
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    • 2020
  • Not only the education that follows the school curriculum but also the education that cultivates practical abilities, such as creative experiential activity, is becoming more and more important in the elementary education in order to accept the social demand about the change in the educational environment. Among these movements, 'village-coupled school' has been carried forward as a policy of the Seoul Metropolitan Office of Education since 2016, and it is operating various programs to establish the educational cooperation system of schools and villages. Particularly, each office of education is publishing the 'village resource sourcebook' and introducing the student experiential programs of public facilities that are located at each region in order to enable the experiencing of experiential activities that utilized educational resources of the region. However, the standard or basis about the composition of the regional experiential learning curriculum is currently missing. Regarding the operation of the regional experiential learning, it seems that the school curriculum and associated facility experience or others would mutually increase the educational synergy effect. This research is a proposal to increase the educational effect of regional experiential learning. In the aspect of the experience at a public facility located in the region, it aims at analyzing the use, characteristic, and others of public facilities that appear in the elementary school textbook and propose the base data of the composition of the experiential activity program related to the curriculum.

무리행동과 인지적 유용성이 e-learning 컨텐츠 구매에 미치는 영향;구매 경험자와 잠재 구매자 그룹간의 차이 비교

  • Park, Eun-Ho;Yu, Cheol-U;Kim, Yong-Jin;Mun, Jeong-Hun;Choe, Yeong-Chan
    • 한국경영정보학회:학술대회논문집
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    • 2007.06a
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    • pp.435-440
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    • 2007
  • 본 연구는 무리행동과 인지적 유용성을 중심으로, e-learning 컨텐츠 구매에 미치는 영향을 e-learning 수강경험자 집단과 경험하지 못한 잠재구매자 집단의 차이점을 경험적인 측면에서 밝히고자 시도하였다. 전체 528명의 표본을 경험자(395명)와 비경험자(133명)로 나누어 PLS(Partial Least Square)를 통하여 분석한 결과 e-learning 구매 경험자는 인지적 유용성이 구매의도에 주는 영향이 무리행동의 영향보다 큰 것으로 나타났고, 잠재 구매자는 무리행동이 구매의도에 주는 영향이 더 큰 것으로 나타났다.

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Performance Assessment of Machine Learning and Deep Learning in Regional Name Identification and Classification in Scientific Documents (머신러닝을 이용한 과학기술 문헌에서의 지역명 식별과 분류방법에 대한 성능 평가)

  • Jung-Woo Lee;Oh-Jin Kwon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.19 no.2
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    • pp.389-396
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    • 2024
  • Generative AI has recently been utilized across all fields, achieving expert-level advancements in deep data analysis. However, identifying regional names in scientific literature remains a challenge due to insufficient training data and limited AI application. This study developed a standardized dataset for effectively classifying regional names using address data from Korean institution-affiliated authors listed in the Web of Science. It tested and evaluated the applicability of machine learning and deep learning models in real-world problems. The BERT model showed superior performance, with a precision of 98.41%, recall of 98.2%, and F1 score of 98.31% for metropolitan areas, and a precision of 91.79%, recall of 88.32%, and F1 score of 89.54% for city classifications. These findings offer a valuable data foundation for future research on regional R&D status, researcher mobility, collaboration status, and so on.

A Critical Discussion on Higher Lifelong Learning Ecosystem for Local University and Balanced Regional Development (지방대학과 지역균형발전을 위한 고등평생학습생태계에 대한 비판적 고찰)

  • Hur, Changsoo
    • The Journal of the Korea Contents Association
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    • v.22 no.5
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    • pp.633-642
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    • 2022
  • This is conducted with the aim of critical discussions on existing arguments, focusing on the establishment of a higher lifelong learning ecosystem. First, this study discusses the characteristics of university education in Korea and the discourse on the crisis of local universities. Second, the arguments on the establishment of lifelong learning society and a lifelong learning system. Third, the arguments for the establishment of a higher lifelong learning ecosystem are reviewed and practical measures for this are critically discussed. The conclusion is as follows. Measures for the establishment of a higher lifelong learning ecosystem have been discussed in considerable detail, and through this, the possibility of overcoming the crisis of local universities and balanced regional development is sufficient. However, first, the university should play a central role, but this study questions whether university reform could be achieved to suit it. Second, in order to overcome the crisis, national responsibility, responsibility, and continuous support are required. On the other hand, it raised questions about whether cooperation from the current Korean government authorities is possible. Third, local communities should also achieve governance and participate in democratic ways, raising questions about whether a foundation-forming strategy for stakeholder consensus is established.

Enhancing Regional Innovation System Potential: The Dimension of Firm Practices (지역혁신체제 잠재성 향상의 조건: 기업의 혁신활동을 중심으로)

  • Jong Ho Lee
    • Journal of the Economic Geographical Society of Korea
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    • v.6 no.1
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    • pp.61-77
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    • 2003
  • Finns are central economic agents that play an important role in systems of innovation as they take responsibility for generating and diffusing knowledge in both organizational and societal context. They must be considered as learning organizations which interact with other finns and institutions that share their environment. The systems of innovation literature accentuates institutional conditions that influence innovation in sectoral, regional or national levels. Meanwhile, it tends to ignore the complex dimensions of finn practices in relation to learning and innovation activities. In this context, this paper attempts to examine what finns do for sustaining innovation and how they learn to innovate. This is not just critical to know individual finns innovativeness which depends on interactions with environments within and outside the organizational boundary but also to evaluate the regional innovation system potential. In short, it is important to see that finns would attempt to take advantage of distributed knowledge within and across the boundaries of the finn without sticking to particular regional innovation systems. I argue that the more finns of a cluster attempt not only to combine localized sources of knowledge and external sources of knowledge but also to become a learning organization, the more increased regional innovation system potentials can be.

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Localization of Text-development on Regional Learning in Social Studies (사회과 지역학습 교재개발의 지역적 적합화 연구 -경남 산청과 충남 서산의 지역학습을 사례로-)

  • Son, Il;Jeon, Jong-Han
    • Journal of the Korean association of regional geographers
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    • v.10 no.2
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    • pp.466-478
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    • 2004
  • Regional learning in social studies has an important educational meaning in that it is a tabloid edition of social studies and it also satisfies the regionalization of national curriculum. Social studies in Korea have mainly been led by the social study curriculum of elementary school. But the local textbook which was currently used in elementary school is structured in a negative meaning of regionalization rather than positive one. It is suggested in this study that the regional learning of social studies in middle school should be pursued by the co-work of teachers and students. For this purpose, the theoretical and practical processes to develop the local textbook are compared between two distinctive localities such as Sancheong and Seosan. At first, the relative ratio among the six strands is decided to develop several themes for regional learning, considering the landscape, region-related discourses and ecological environments in each region. Secondly, several themes are extracted to organize the contents of local textbook in each region. Lastly, examples of content-organization are suggested in each region. The processes above are just an example of content-organization, not a fixed one. The process, themes extracted, and the content-organization for each region may be changed according to the school location, local situation, and the quality of classroom.

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Two-Phase Approach for Data Quality Management for Slope Stability Monitoring (경사면의 안정성 모니터링 데이터의 품질관리를 위한 2 단계 접근방안)

  • Junhyuk Choi;Yongjin Kim;Junhwi Cho;Woocheol Jeong;Songhee Suk;Song Choi;Yongseong Kim;Bongjun Ji
    • Journal of the Korean Geosynthetics Society
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    • v.22 no.1
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    • pp.67-74
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    • 2023
  • In order to monitor the stability of slopes, research on data-based slope failure prediction and early warning is increasing. However, most papers overlook the quality of data. Poor data quality can cause problems such as false alarms. Therefore, this paper proposes a two-step hybrid approach consisting of rules and machine learning models for quality control of data collected from slopes. The rule-based has the advantage of high accuracy and intuitive interpretation, and the machine learning model has the advantage of being able to derive patterns that cannot be explicitly expressed. The hybrid approach was able to take both of these advantages. Through a case study, the performance of using the two methods alone and the case of using the hybrid approach was compared, and the hybrid method was judged to have high performance. Therefore, it is judged that using a hybrid method is more appropriate than using the two methods alone for data quality control.

Canada's Regional Innovation Support System and Cluster Policy (캐나다의 지역혁신지원체제와 클러스터정책)

  • Nahm, Kee-Bom
    • Journal of the Economic Geographical Society of Korea
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    • v.11 no.4
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    • pp.647-660
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    • 2008
  • The main thrusts of Canadian regional innovation policy lies in the two tract system. Federal government decides only the strategic research and development sectors and priorities, and then researchers and stockholders in the regions decide and implement the specific networking relationships and appropriate governance system. This paper reviewed the decentralized and market-friendly Canadian regional innovation support system and the characteristics of Canadian innovation clusters: Learning, Labour, Location, Leadership, Legislation/ Labs. finally, policy implications for Korean regional innovation system such as networking, formation of social capital, and business support systems are offered.

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