• 제목/요약/키워드: Park Classification

검색결과 4,160건 처리시간 0.034초

부분방전원 분류기법의 패턴분류율 비교 (Comparison of Classification rate of PD Sources)

  • 박성희;임기조;강성화
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2005년도 하계학술대회 논문집 Vol.6
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    • pp.566-567
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    • 2005
  • Until now variable pattern classification methods have been introduced. So, variable methods in PD source classification were applied. NN(neural network) the most used scheme as a PD(partial discharge) source classification. But in recent year another method were developed. These methods is present superior to NN in the field of image and signal process function of classification. In this paper, it is show classification result in PD source using three methods; that is, BP(back-propagation), ANFIS(adaptive neuro-fuzzy inference system), PCA-LDA(principle component analysis-linear discriminant analysis).

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Classification of the vegetated terrain using polarimetric SAR processing techniques

  • Park Sang-Eun;Moon Wooil M
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.389-392
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    • 2004
  • Classification of Earth natural components within a full polarimetric SAR image is one of the most important applications of radar polarimetry in remote sensing. In this paper, the unsupervised classification algorithms based on the combined use of the polarimetric processing technique such as the target decomposition and statistical complex Wishart classification method are evaluated and applied to vegetated terrain in Jeju volcanic island.

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다채널 뇌파 분류를 위한 주성분 분석 기반 선형동적시스템 (PCA-based Linear Dynamical Systems for Multichannel EEG Classification)

  • Lee, Hyekyoung;Park, Seungjin
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2002년도 가을 학술발표논문집 Vol.29 No.2 (2)
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    • pp.232-234
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    • 2002
  • EEG-based brain computer interface (BCI) provides a new communication channel between human brain and computer. The classification of EEG data is an important task in EEG-based BCI. In this paper we present methods which jointly employ principal component analysis (PCA) and linear dynamical system (LDS) modeling for the task of EEG classification. Experimental study for the classification of EEG data during imagination of a left or right hand movement confirms the validity of our proposed methods.

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A Presentation of a Cost Classification System for Gas Plant Construction Projects

  • Park, Moonsun;Kim, Yongsu
    • 국제학술발표논문집
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    • The 6th International Conference on Construction Engineering and Project Management
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    • pp.625-626
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    • 2015
  • The purpose of this study is to present a cost classification system that can be used in gas plant construction projects. Towards this end, it examined the detailed statements of the construction companies which had experience in carrying out plant construction projects. Based on the above, it also presented a life-cycle (i.e., EPCC) cost classification system for the gas plant construction projects by conducting the Delphi analysis through the expert opinions.

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효율적인 정보화경영을 위한 데이터분류체계의 개선방안에 관한 연구 (A Study on the Improvement Directions of Data Classification Format for Efficient Information Management System)

  • 박재용
    • 통상정보연구
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    • 제6권3호
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    • pp.41-61
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    • 2004
  • Today, most companies are needed to become interested on e-Biz and information management system. Especially, Data classification format system was very important for application to effective and efficiency management decision support. They should include main entry which consists of department, employee's name, title, publication date. Now, each company is using eleven different methods on data classification format system. In this paper finding result was as follows, in other words, general management document case using the nine date classification methods and special report management document ca se using the twodata classification methods. The aim of this study is to investigate problems that the present data classification format system has and some concerns that should be taken into account in case of the modification of the data classification system and change into a new one. This study is based on the survey in that the company managergave to 35 companies throughout the nation. As a result, the survey indicates that the crucial concerns of the participating managers are ineffective management information source and the duplication of data classification systems. This paper is the transcendental study the introduction of data classification format systems to business companies in Korea. This paper provided the fundamental data for the effective business process reengineering in business activity for management information.

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Classification Index and Grade Levels for Energy Efficiency Classification of Agricultural Dryers in Korea

  • Shin, Chang Seop;Park, Jin Geun;Kim, Kyeong Uk
    • Journal of Biosystems Engineering
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    • 제39권2호
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    • pp.96-100
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    • 2014
  • Purpose: The objective of this study was to develop a classification index and the grade levels for a five-grade energy efficiency classification of agricultural dryers in Korea. Methods: The classification index and the grade levels were determined by using the performance test data published by the FACT over the last eight years to reflect a state of the art technology for agricultural dryers in Korea. The five grades were designed to have the classified dryers distributed normally over the grades with 15% for the $1^{st}$ grade, 20% for the $2^{nd}$ grade, 30% for the $3^{rd}$ grade, 20% for the $4^{th}$ grade and 15% for the $5^{th}$ grade. Results: The classification index was defined as the total amount of fuel and electrical energy consumed per 1% of the wet basis moisture content evaporated from a unit mass of grain or agricultural crops during the drying process: 1 MT of paddy rice for grain dryers and 1 kg of red pepper for agricultural crop dryers as the standard mass. Conclusions: The grade levels for the five-grade energy efficiency classification of grain dryers, kerosene dryers, and electric dryers were proposed in terms of the classification index value.

GPS 측량의 3차원 좌표변환에 의한 정밀위치결정 (The Precise Positioning with the 3D Coordinate Transformation of GPS Surveying)

  • 박운용;유복모;이기부
    • 대한공간정보학회지
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    • 제8권2호
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    • pp.47-60
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    • 2000
  • 본 연구에서는 인공위성영상을 이용한 토지피복 분류방법 중 파라메트릭한 분류와 비-파라메트릭한 분류의 대표성을 띤 최대우도 분류법과 신경망을 이용한 분류방법을 사용하여 분류정확도를 비교하였다. 분류정확도의 평가에 있어서 일반적인 분석가들이 사용하는 훈련지역에 대한 분류 정확도의 분석뿐만 아니라, 시험지역에 대한 정확도분석을 하였다. 그 결과, 최대우도분류기에 비하여 신경망의 분류기가 일반적인 훈련데이터의 분류에 있어서 약 3% 우월하였으며, 지상검증데이터를 사용한 분류결과에서는 시험에 사용된 두 분류기 모두 빈약한 분류결과를 나타내었으나, 신경망에 의한 분류가 최대우도에 비하여 약 10%정도 보다 신뢰할 수 있는 결과를 얻을 수 있었다.

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RI-Biomics 분야 기술정보 표준분류체계 개발 및 적용 (Development of the Standard Classification System of Technical Information in the Field of RI-Biomics and Its Application to the Web System)

  • 장솔아;김주연;박태진
    • 방사선산업학회지
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    • 제8권3호
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    • pp.155-159
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    • 2014
  • RI-Biomics is a new concept that combines radioisotopes (RI) and Biomics. For efficient collection of information, establishment of database for technical information system and its application to the system, there is an increasing need for constructing the standard classification system of technical information by its systematical classification. In this paper, we have summarized the development process of the standard classification system of technical information in the field of RI-Biomics and its application to the system. Constructing the draft version for the standard classification system of technical information was based on that standard classification one in national science and technology in Korea. The final classification system was then derived through the reconstruction and the feedback process based on the consultation from the 7 experts. These results were applied to the database of technical information system after transforming as standard code. Thus, the standard classification system were composed of 5 large classifications and 20 small classifications, and those classification are expected to establish the foundation of information system by achieving the circular structure of collection-analysis-application of information.

국립공원 서식지 유형 분류 체계 구축 (Habitat Type Classification System of Korean National Parks)

  • 김정은;노백호;이정윤;조형진;진승남;최진우;명현호
    • Ecology and Resilient Infrastructure
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    • 제8권2호
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    • pp.97-111
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    • 2021
  • 국립공원에 서식하는 생물종과 서식지 간의 관계를 공간적 평가에 활용하기 위해 생물종의 생태적 특성, 공간 유형, 식생군락, 지형 및 지질 조건을 기준으로 서식지 유형 분류 체계를 개발하고 서식지 분류 지도를 제작하였다. 서식지 유형의 체계적 분류 및 판정을 위해 분류기준표를 제작하였다. 분류 체계는 구조적 서식지를 중심으로 6개 대분류로 구분하였으며, 중분류는 59개의 생태계 유형으로 분류하였다. 산림생태계는 20개, 하천 및 습지생태계는 8개, 해안생태계는 16개, 농경지는 6개, 개발지는 9개, 해양생태계는 1개로 분류하였다. 서식지 분류 체계를 기반으로 정사영상, 정밀식생도, 임상도를 활용하여 서식지 분류 지도를 작성하였다. 서식지 분류 지도는 21개 국립공원에 대해 1,461개 도엽으로 구축하였다. 본 연구의 활용성을 높이기 위해 국내 서식지 조건을 고려한 서식지 분류 체계 고도화와 조사 프로토콜을 개발하여 서식지 평가에 적용하여야 한다.