• Title/Summary/Keyword: Storing Method

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Optimal Traffic Information using Fuzzy Neural Network

  • Hong, You-Sik;Lee, Choul--Ki
    • International Journal of Fuzzy Logic and Intelligent Systems
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    • v.3 no.1
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    • pp.105-111
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    • 2003
  • This paper is researching the storing of 40 different kinds of conditions. Such as, car speed, delay in starting time and the volume of cars in traffic. Through the use of a central nervous networking system or AI, using 10 different intersecting roads. We will improve the green traffic light. And allow more cars to easily flow through the intersections. Now days, with increasing many vehicles on restricted roads, the conventional traffic light creates prove startup-delay time and end-lag-time. The conventional traffic light loses the function of optimal cycle. And so, 30-45% of conventional traffic cycle is not matched to the present traffic cycle. In this paper proposes electro sensitive traffic light using fuzzy look up table method which will reduce the average vehicle waiting time and improve average vehicle speed. Computer simulation results prove that reducing the average vehicle waiting time which proposed considering passing vehicle length for optimal traffic cycle is better than fixed signal method which dosen't consider vehicle length.

A Transformation of XML DTD to Relational Database Schema Using Functional Dependency (함수적 종속관계를 이용한 XML DTD의 관계형 스키마 변환)

  • Lee Jung-hwa;Lee Man-sik;Yun Hong-won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.8 no.7
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    • pp.1604-1609
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    • 2004
  • We have to convert XML DTD into relational database schema for storing XML Document at relational database. Hybrid inlining algorithm are used for converting XML DTD to relational database schema. But this method have some problem. That is the relational database schema have N:N relationship are created according this method are not satisfied with third normal from. Therefore, We proposed Extended Hybrid inlining algorithm for solving this problem in this paper.

XML Document Clustering Technique by K-means algorithm through PCA (주성분 분석의 K 평균 알고리즘을 통한 XML 문서 군집화 기법)

  • Kim, Woo-Saeng
    • The KIPS Transactions:PartD
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    • v.18D no.5
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    • pp.339-342
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    • 2011
  • Recently, researches are studied in developing efficient techniques for accessing, querying, and storing XML documents which are frequently used in the Internet. In this paper, we propose a new method to cluster XML documents efficiently. We use a K-means algorithm with a Principal Component Analysis(PCA) to cluster XML documents after they are represented by vectors in the feature vector space by transferring them as names and levels of the elements of the corresponding trees. The experiment shows that our proposed method has a good result.

Development of recycle energy storage system on electric rail car (전동차 회생 에너지 저장 시스템 개발에 관한 연구)

  • Kim Gil-dong;Kim Jong-Dae;Lee Han-Min
    • Proceedings of the KSR Conference
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    • 2005.11a
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    • pp.660-664
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    • 2005
  • There are operated the six thousand train in the interior of a country, $95\%$ of them are possible usage of resuscitation, Especially, Among them VVVF-Inverter vehicle has a merit of the highest recycle rate, but we don't use a apt recycled energy. Although the existing recycle energy used inverter method supply with electric power, it is decided in accordance with the state of sources. So efficiency of recycled electric power is of poor quality and catenary-voltage-fluctuation be generate because of recycled electric power. and it is able to affect system of safety train service. We'll research the method of supply according to wire condition after storing recycle energy made during train's stopping relation to Advanced EMU Research. Those methods are divided SMES, Fly-Wheel and Supercapacitor. and Considering the both economical efficiency and system application, we'll develop recycle energy storage system suitable our country condition.

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On the Coastline Date Compression in Digital Chart Selecting Conspicuous Coast Positiona as Node Points (현저한 해안 위치를 절점으로 선정하는 디지털 해도에서의 해안선 데이터 압축)

  • 임정빈;고광섭;최낙현
    • Journal of the Korean Society of Marine Environment & Safety
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    • v.4 no.1
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    • pp.13-20
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    • 1998
  • Since the digital chart consists of a large number of points, the effective method for the coastline data compression(CDC), storing the data compactly and reproducting the coastline feature accurately, is important. In the CDC, the key technique is to determine the optimal positions as node points in given coastlines. In this paper, a new CDC method, selecting node points with conspicuous coast positions in the view point on navigation and adopting spline interpolation to the nodes partly, is proposed. Using the northern part of KEOJE-DO coastline in Korean chart No.204, CDC experiments are carrie out with various compression ratio. The results fro the influence of coastline shape according to various CDC methods are discussed and presented.

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Development of a Domain Component Specification Method (영역 컴포넌트 명세방법 개발)

  • Oh, Young-Bae;Jang, Jin-Ho;Baik, Doo-Gwon
    • Journal of Information Technology Services
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    • v.1 no.1
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    • pp.141-148
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    • 2002
  • As an optimun alternatives for the solution of recent software crisis, we have to develop component technologies so as to develop and propagate business components for various domains to industries. For the sake of development of business components, a conceptual architecture which defines a model for component assembly should be prescribed first, and a systematic specification method based on this model be defined, so we can build a system environments for making specifications and development of each component by the consistent scheme. In this study, we propose a domain architecture model for implementing the pUblic component bank as a project supported by the ministry of information and communication, discuss the conceptual model of specification for developing components of storing component bank, specification steps, specification approach for application of business domains and the development results of them.

An Analysis on the $CO_2$ Reduction and Sequestration Technology using the AHP (AHP를 이용한 $CO_2$ 저감 및 처리기술 분석)

  • 이덕기;최상진;박수억;하영진;이정태
    • Journal of Energy Engineering
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    • v.13 no.3
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    • pp.219-227
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    • 2004
  • World have been encouraged to develop technologies that contribute to CO$_2$ emission reduction for many years. Those technologies can be categorized into capture, storage or sequestration, utilization, etc. There have been lots of efforts, in Korea, to develop the technology as well. In this paper, the impact factors of the technologies, especially in CDRS (Carbon Dioxide Reduction & Sequestration Center), were selected and were weighed by SMM (Storing Models Method) and AHP (Analytic Hierarchy Process) in order to evaluate the four representative areas of the technologies.

Levelized Information Retrieval Method in Context Awareness Environments (컨텍스트 인식 환경에서 레벨화된 정보 검색 기법)

  • Kim, Sung-Rim;Kwon, Joon-Hee
    • Journal of the Institute of Electronics Engineers of Korea TE
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    • v.42 no.1
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    • pp.47-52
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    • 2005
  • The context-aware retrieval method is one of the fundamental characteristics in ubiquitous computing. The essential aims of context-aware retrieval method are retrieving relevant information and delivering information quickly. We propose a new method that retrieves relevant information and delivers information quickly using characteristics of levelized contexts. We extract rules and recommendation information in the near future using context values and rules. Then we prefetch recommendation information in very near future using access score. Our method retrieves relevant information and deliver information quickly by storing only recommendation information to be needed in near future using the characteristics of levelized contexts.

Management of Historical Images by Time Interval and Interrelation (이력 영상의 시간 간격과 연관성에 의한 데이터 관리 기법)

  • 윤홍원
    • Journal of Korea Multimedia Society
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    • v.4 no.6
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    • pp.543-553
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    • 2001
  • In this paper, we proposed management strategy of medical image data in order to solve the problem in traditional medical images migration method. As management strategy of medical image data we proposed EAT(Expanded Average Transaction time) data migration method and data storing method based on temporal interrelation. In EAT data migration strategy, we define the dividing criterion which distinguish entity versions to be stored in each storage and also define entity versions to be stored in each storage. We defined degree of overlap and degree of difference for any two entity versions, and integrated those values and described method which place entity versions to storage. In order to compare the number of cluster references when we change rate of temporal queries, the number of cluster references of proposed method is smaller than that of traditional method.

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An Efficient Rendering Method for Anisotropic Volume Data in 3D Medical Imaging (3차원 의학영상 처리에서 사용되는 비균등 볼륨 데이터를 위한 효율적인 렌더링 방법)

  • 김태영;신병석
    • Journal of Biomedical Engineering Research
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    • v.23 no.6
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    • pp.491-498
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    • 2002
  • In medical visualization fields, anisotropic volume data are more common than isotropic ones. In this paper, we propose an efficient rendering method for anisotropic volume data, which directly computes the intensity of intermediate samples by interpolating the intensity of two corresponding voxels on consecutive slices. Unlike conventional rendering method, it does not require a preprocessing step for generating intermediate slices or additional memory for storing them. In order to evaluate the validity and performance of our method, we applied the method to shear-warp rendering algorithm. Experimental results show that this method improves rendering speed without significantly sacrificing the image quality.