• 제목/요약/키워드: Basic Data

검색결과 18,497건 처리시간 0.048초

BASIC 언어를 사용한 Hill-Sliding 무감독 분류법 Algorithm 개발 (Development of the Hill-Sliding Clustering Algorithm Using BASIC Language)

  • 鄭夢炫;崔圭弘;朴景允;Park, J.Kyoungyoon
    • 대한원격탐사학회지
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    • 제1권1호
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    • pp.89-97
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    • 1985
  • Hill-Sliding Clustering이라는 다변량 자료의 무감독 분류 방법을 Apple II personal computer의 BASIC언어를 사용한 Algorithm으로 개발하였다. 이 Algorithm으로 다변량 multimode를 갖는 정규 분포 자료에서 사전 지식없이 자료를 집단화하여 구분해 낼 수 있게 되 었다. 한국 연안 지역의 Landsat(지구 자원 탐사 위성)의 다중, Spectrum 영상 자료에 적용한 시 험 결과, 매우 고무적 결론을 얻었다.

Design and Implementation of a Crypto Processor and Its Application to Security System

  • Kim, Ho-Won;Park, Yong-Je;Kim, Moo-Seop
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2002년도 ITC-CSCC -1
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    • pp.313-316
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    • 2002
  • This paper presents the design and implementation of a crypto processor, a special-purpose microprocessor optimized for the execution of cryptography algorithms. This crypto processor can be used fur various security applications such as storage devices, embedded systems, network routers, etc. The crypto processor consists of a 32-bit RISC processor block and a coprocessor block dedicated to the SEED and triple-DES (data encryption standard) symmetric key crypto (cryptography) algorithms. The crypto processor has been designed and fabricated as a single VLSI chip using 0.5 $\mu\textrm{m}$ CMOS technology. To test and demonstrate the capabilities of this chip, a custom board providing real-time data security for a data storage device has been developed. Testing results show that the crypto processor operates correctly at a working frequency of 30MHz and a bandwidth o1240Mbps.

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Automation of Solid Freeform Fabrication System

  • Min, Sang-Hyun;Um, Tai-Joon
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 2002년도 ICCAS
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    • pp.91.1-91
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    • 2002
  • 1. Introduction Present study presents the basic concept of a Solid Freeform Fabrication System using a rapid prototyping procedure and optimal control for a transferring and accumulating system. And it developed a novel rapid prototyping process that can use ceramic or metal as well as polymer as a basic material. 2. Solid Freeform Fabrication System 2.1 Basic Theory A 3D CAD data of the model is converted to the 2D cross-section data of the slides. A ceramic or metal tape of thickness 0.5-1.5mm is cut by a laser beam with the cross-section data of the slide. A 3D model was obtained by transferring and accumulating the slides. The final product is manufactured by sin...

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확률에 기초한 한국의 기본 설계풍속 주정 (Probability-Based Estimates of Basic Design Wind Speeds In Korea)

  • 조효남;백현식;차철준
    • 한국전산구조공학회:학술대회논문집
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    • 한국전산구조공학회 1988년도 가을 학술발표회 논문집
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    • pp.7-12
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    • 1988
  • This study presents rational methods for probability-based estimates of basic design wind speeds in Korea and develops a risk-bases nation-wide map of design wind speeds. The paper examines the fitting of the Type-I extreme model to maximum yearly non-typhoon wind data from long-term records based on the conventional method and to maximum monthly nod-typhoon wind data from short-term records following Grigorin's approach. The paper also reviews the applicability of the method using short records of about 5 years. The basic design wind speeds for typhoon and non-typhoon wind at a station are made to be obtained from a mixed model which is given as a product of typhoon and non-typhoon extreme wind distributions. A practical method which is based on the fitting of the Type I model to records or typhoon and non-typhoon mixed wind data at a station is also preposed in this study.

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SPEECH SYNTHESIS USING LARGE SPEECH DATA-BASE

  • Lee, Kyu-Keon;Mochida, Takemi;Sakurai, Naohiro;Shirai, Katasuhiko
    • 한국음향학회:학술대회논문집
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    • 한국음향학회 1994년도 FIFTH WESTERN PACIFIC REGIONAL ACOUSTICS CONFERENCE SEOUL KOREA
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    • pp.949-956
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    • 1994
  • In this paper, we introduce a new speech synthesis method for Japanese and Korean arbitrary sentences using the natural speech data-base. Also, application of this method to a CAI system is discussed. In our synthesis method, a basic sentence and basic accent-phrases are selected from the data-base against a target sentence. Factors for those selections are phrase dependency structure (separation degree), number of morae, type of accent and phonemic labels. The target pitch pattern and phonemic parameter series are generated using those selected basic units. As the pitch pattern is generated using patterns which are directly extracted form real speech, it is expected to be more natural than any other pattern which is estimated by any model. Until now, we have examined this method on Japanese sentence speech and affirmed that the synthetic sound preserves human-like features fairly well. Now we extend this method to Korean sentence speech synthesis. Further more, we are trying to apply this synthesis unit to a CAI system.

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Classification and Regression Tree Analysis for Molecular Descriptor Selection and Binding Affinities Prediction of Imidazobenzodiazepines in Quantitative Structure-Activity Relationship Studies

  • Atabati, Morteza;Zarei, Kobra;Abdinasab, Esmaeil
    • Bulletin of the Korean Chemical Society
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    • 제30권11호
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    • pp.2717-2722
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    • 2009
  • The use of the classification and regression tree (CART) methodology was studied in a quantitative structure-activity relationship (QSAR) context on a data set consisting of the binding affinities of 39 imidazobenzodiazepines for the α1 benzodiazepine receptor. The 3-D structures of these compounds were optimized using HyperChem software with semiempirical AM1 optimization method. After optimization a set of 1481 zero-to three-dimentional descriptors was calculated for each molecule in the data set. The response (dependent variable) in the tree model consisted of the binding affinities of drugs. Three descriptors (two topological and one 3D-Morse descriptors) were applied in the final tree structure to describe the binding affinities. The mean relative error percent for the data set is 3.20%, compared with a previous model with mean relative error percent of 6.63%. To evaluate the predictive power of CART cross validation method was also performed.

관계형 데이터베이스를 이용한 수문자료 관리시스템 개발 (Development of Hydrologic Data Management System Based on Relational Database)

  • 김학관;박승우;김상민
    • 한국수자원학회논문집
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    • 제39권10호
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    • pp.855-866
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    • 2006
  • 본 연구에서는 유역 수문자료를 효율적으로 관리할 수 있는 수문자료관리시스템(HDMS)을 개발하였으며 경기도 화성시에 위치한 발안시험유역을 대상으로 시스템의 적용성을 보여주었다. MySQL 5.0을 사용하여 관계형 데이테베이스를 설계하였으며, MS-Visual Basic 6.0을 이용하여 윈도우 기반의 시스템을 개발하였다. HDMS는 자료검색시스템, 자료관리시스템, 자료분석시스템으로 구성되었다. 자료검색시스템과 자료관리시스템은 자료검색, 자료저장, 자료갱신, 자료추출의 기능을 제공하며, 자료분석시스템은 저장된 자료로부터 다양한 수문통계정보를 제공하며, 자료의 정확성 및 품질을 분석하고 평가한다.

Web-Enabler: Transformation of Conventional HIMS Data to Semantics Structure Using Hadoop MapReduce

  • Idris, Muhammad;Lee, Sungyoung
    • 한국정보처리학회:학술대회논문집
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    • 한국정보처리학회 2014년도 추계학술발표대회
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    • pp.137-139
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    • 2014
  • Objective: Data exchange, interoperability, and access as a service in healthcare information management systems (HIMS) is the basic need to provision health-services. Data existing in various HIMS not only differ in the basic underlying structure but also in data processing systems. Data interoperability can only be achieved when following a common structure or standard which is shareable such as semantics based structures. We propose web-enabler: A Hadoop MapReduce based distributed approach to transform the existing huge variety data in variety formats to a conformed and flexible ontological format that enables easy access to data, sharing, and providing various healthcare services. Results: For proof of concept, we present a case study of general patient record in conventional system to be enabled for analysis on the web by transforming to semantics based structure. Conclusion: This work achieves transformation of stale as well as future data to be web-enabled and easily available for analytics in healthcare systems.

교사교육을 위한 공공 빅데이터 수집 및 스프레드시트 활용 기초 데이터과학 교육 사례 연구 (A Case Study of Basic Data Science Education using Public Big Data Collection and Spreadsheets for Teacher Education)

  • 허경
    • 정보교육학회논문지
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    • 제25권3호
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    • pp.459-469
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    • 2021
  • 본 논문에서는 현장 교사 및 예비교사를 위한 기초 데이터과학 실습 교육 사례를 연구하였다. 본 논문에서는 기초 데이터과학 교육을 위해, 스프레드시트 SW를 데이터 수집 및 분석 도구로 사용하였다. 이후 데이터 가공, 예측 가설 및 예측 모델 검증을 위한 통계학을 교육하였다. 또한, 수천명 단위의 공공 빅데이터를 수집 및 가공하고, 모집단 예측 가설 및 예측 모델을 검증하는 교육 사례를 제안하였다. 이와 같은 데이터과학의 기초 교육내용을 담아, 스프레드시트 도구를 활용한 34시간 17주 교육 과정을 제시하였다. 데이터 수집, 가공 및 분석을 위한 도구로서, 스프레드시트는 파이썬과 달리, 프로그래밍 언어 및 자료구조에 대한 학습 부담이 없고, 질적 데이터와 양적 데이터에 대한 가공 및 분석 이론을 시각적으로 습득할 수 있는 장점이 있다. 본 교육 사례 연구의 결과물로서, 세가지 예측 가설 검증 사례들을 제시하고 분석하였다. 첫 번째로, 양적 공공데이터를 수집하여 모집단의 그룹별 평균값 차이 예측 가설을 검증하였다. 두 번째로, 질적 공공데이터를 수집하여 모집단의 질적 데이터 내 연관성 예측 가설을 검증하였다. 세 번째로, 양적 공공데이터를 수집하여 모집단의 양적 데이터 내 상관성 예측 가설 검증에 따른 회귀 예측 모델을 검증하였다. 그리고 본 연구에서 제안한 교육 사례의 효과성을 검증하기 위해, 예비교사와 현장교사의 만족도분석을 실시하였다.

A Scheme for Supporting Fast Handover in Hierarchical Mobile IPv6 Networks

  • Jung, Hee-Young;Kim, Eun-Ah;Yi, Jong-Wha;Lee, Hyeong-Ho
    • ETRI Journal
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    • 제27권6호
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    • pp.798-801
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    • 2005
  • This Letter proposes a scheme that supports a fast handover effectively in hierarchical mobile IPv6 networks (F-HMIPv6) by optimizing the associated data and control flows during the handover. By NS-2 simulation, we show that the proposed scheme can give better handover performance than a simple combination of existing schemes.

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