• Title/Summary/Keyword: CPSD

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Establishing Process of National Regional Policy for the Sunbelt Development Initiative of the Southern Coastal Area in Korea (남해안 선벨트 구상의 지역정책화 과정과 특징에 관한 시론적 연구)

  • Lee, Jeong-Rock
    • Journal of the Korean Geographical Society
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    • v.48 no.5
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    • pp.651-666
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    • 2013
  • The objective of this study is to introduce the characteristics and establishing process of national regional policy for the sunbelt developmentr initiative of the southern coastal area in Korea. Discussion on the development of southern coastal area of Korea with some members of the Korea Society of Future Studies began in the early 1990s, and its discussion was continued with the activities by the Committee on Regional Unity of the Grand National Party and Namhaean Forum. The sunbelt development initiative was selected as one of the major commitments of the Grand National Party in the 17th presidential election of Korea. Since the launching of the Lee Myung-bak government, the Presidential Committee on Balanced National Development made a comprehensive plan for sunbelt development of southern coastal area(CPSD), and this plan was confirmed by central governmental planning in May 2010. CPSD is meaningful in terms of the fir first national regional planning and legal plan in Korea. The target year of CPSD is 2020, and some projects by CPSD started in 2010. However, there are many negative views that CPSD will not be going too well. Therefore, new efforts and roles of geographers who participated in the process of planning of CPSD are required for the success of CPSD.

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Robot Control based on Steady-State Visual Evoked Potential using Arduino and Emotiv Epoc (아두이노와 Emotiv Epoc을 이용한 정상상태시각유발전위 (SSVEP) 기반의 로봇 제어)

  • Yu, Je-Hun;Sim, Kwee-Bo
    • Journal of the Korean Institute of Intelligent Systems
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    • v.25 no.3
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    • pp.254-259
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    • 2015
  • In this paper, The wireless robot control system was proposed using Brain-computer interface(BCI) systems based on the steady-state visual evoked potential(SSVEP). Cross Power Spectral Density(CPSD) was used for analysis of electroencephalogram(EEG) and extraction of feature data. And Linear Discriminant Analysis(LDA) and Support Vector Machine(SVM) was used for patterns classification. We obtained the average classification rates of about 70% of each subject. Robot control was implemented using the results of classification of EEG and commanded using bluetooth communication for robot moving.