• 제목/요약/키워드: model of line segment

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화자확인 시스템을 위한 분절 알고리즘 (A Blind Segmentation Algorithm for Speaker Verification System)

  • 김지운;김유진;민홍기;정재호
    • 한국음향학회지
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    • 제19권3호
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    • pp.45-50
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    • 2000
  • 본 논문에서는 하위단어에 기반한 전화선 채널에서의 어구 종속 화자 확인 시스템을 위한 음성 분할 알고리즘인, 파라미트릭 필터링에 기반한 델타 에너지를 제안한다. 제안한 알고리즘은 특정 밴드의 주파수를 기준으로 대역폭을 변화시키며 필터링한 후 델타 에너지를 이용하는 방법으로 다른 알고리즘에 비해 주변환경에 강인한 것으로 나타났다. 이를 이용해 음성을 하위단어로 분할하고, 각 하위단어를 이용해 화자의 성문을 모델링하였다. 제안한 알고리즘의 성능 평가를 위해 EER(Equal Error Rate)를 사용한다. 그 결과 단일 모델의 EER이 약 6.1%, 하위 단어 모델의 EER이 약 4.0%로 본 논문에서 제안한 알고리즘을 사용했을 때 약 2%의 성능이 향상되었다.

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PC를 이용한 3차원 입체형상 모델생성 연구 (I) (Personal Computer Aided 3-D Model Generation (I))

  • 변문현;오익수
    • 대한기계학회논문집
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    • 제13권1호
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    • pp.59-66
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    • 1989
  • 본 연구는 이상에서 언급된 경향과 3차원 형상모델링 시스템 개발의 필요성에 따라 1차적으로 직육면체, 원기둥, 삼각기둥을 원형(primitive)으로 하는 모델러를 개발하여 CAD/CAM 시스템 개발의 기초자료를 제공함과 동시에 궁극적으로는 국내중소기업에서의 간단한 설계, 제작 생산분야에 알맞는 PC 수준의 전용 3차원 형상모델링 시스템을 개발할 목적으로 수행되었다.

트림된 NURBS 곡면의 효율적인 삼각화 알고리즘 (An Efficient Triangulation Algorithm for Trimmed NURBS Surfaces)

  • 정재호;박준영
    • 한국CDE학회논문집
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    • 제5권2호
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    • pp.144-154
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    • 2000
  • We propose an algorithm for obtaining a triangular approximation of a trimmed NLRBS surface. Triangular approximation is used in the pre-processing step of many applications such as RP(Rapid Prototyping), NC(Numerical Control) and FEA(Finite Element Analysis), etc. The algorithm minimizes the number of triangular elements within tolerance and generates a valid triangular mesh for STL file and NC tool path generation. In the algorithm, a subdivision method is used. Since a patch is a basic element of triangular mesh creation, boundary curves of a patch are divided into line segments and the division of curves is applied for the interior of the surface. That is, boundary curves are subdivided into line segments and two end points of each line segment are propagated to the interior of the surface. For the case of a trimmed surface, triangulation is carried out using a model space information. The algorithm is superior because the number of elements can be controlled as the curvature of the surface varies and it generates the triangular mesh in a trimmed region efficiently. To verify the efficiency, the algorithm was implemented and tested for several 3D objects bounded by NURBS surfaces.

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Managing and Querying Moving Objects in Networks

  • Kim Jae-Chul;Heo Tae-Wook;Lee Jai-Ho;Kim Kwang-Soo
    • 대한원격탐사학회:학술대회논문집
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    • 대한원격탐사학회 2004년도 Proceedings of ISRS 2004
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    • pp.367-370
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    • 2004
  • We model a moving object as a sizable physical entity equipped with GPS, wireless communication capability, and a computer such as a PDA and mobile phone. Furthermore, we have observed that a real trajectory of a moving object is the result of interactions among moving objects in the system yielding Multi-points instead of a line segment. In this paper, the new types and operations are integrated seamlessly into the moving object framework to achieve a relatively simple, consistent and powerful overall model and query language for constrained and unconstrained movement.

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Mixture model에 의한 홈쇼핑 이용자 시장세분화와 쇼핑성향 (A Study on Market Segmentations and Shopping Orientations of Home Shopping User: Based on Mixture Model)

  • 서정아;이진화;홍재원
    • 한국의류학회지
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    • 제32권7호
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    • pp.1023-1033
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    • 2008
  • The purpose of this study was to segment home-shopper market by using the demographic characteristics. This study enables a better unders landing of home-shoppers and improving the strategy of marketing. The specific objects of this study are as follow: First, it was to exam market segmentations by demographic factors using mixture model. Second, it was to exam shopping orientations of fashion merchandise according to segmentation groups. The data was collected from 637 subjects who had used the home shopping more than one time in a year. The data was analysised through frequencies, factor analysis, ANOVA, Duncan's mutiple range tests with SPSS 12.0 and Mixture model. The results of data are as follows: 1. The result of market segmentation as demographic factor using Mixture model was extracted to 4 market segments called 20's/ unmarried stage, 30's/ children bearing & rearing stage, 40's/ families with children's education stage, 50's/ aging stage. 2. Shopping orientations were extracted to 5 factors called a pleasure oriented, convenience oriented, off-line oriented, human oriented, thrift oriented.

건물 형태 발생을 위한 3차원 선소의 계층적 군집화 (Hierarchical Grouping of Line Segments for Building Model Generation)

  • 한지호;박동철;우동민;정태경;이윤식;민수영
    • 전기전자학회논문지
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    • 제16권2호
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    • pp.95-101
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    • 2012
  • 위성 영상에서 건물형태를 발생하기위한 새로운 접근방식이 본 논문에서 제안되었다. 제안된 알고리즘은 낮은 수준의 선소들을 연결하고 유사한 개체들을 군집화하기 위해 선소 측정함수가 적용된 신경망이다. 제안된 신경망은 윤곽선 영상에서 추출된 윤곽선들을 군집화 목적으로 사용된다. 본 논문에서는 3차원 선소의 오류에 의한 군집화 결과의 비현실적 건물모델의 발생을 근원적으로 차단하기 위하여, 높이 정보를 이용한 계층적 군집화를 제안하였다. 제안된 새로운 거리척도의 신경망과 군집화를 통해 성공적인 건물모델의 재구성을 실험으로 보여주었다.

부하불평형 및 부하모형을 고려한 복합배전계통의 분산형전원의 연계 방안 (Interconnection of Dispersed Generation Systems considering Load Unbalance and Load Model in Composite Distribution Systems)

  • 이유정;김규호;이상근;유석구
    • 대한전기학회논문지:전력기술부문A
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    • 제53권5호
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    • pp.266-274
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    • 2004
  • This paper presents a scheme for the interconnection of dispersed generator systems(DGs) based on load .unbalance and load model in composite distribution systems. Groups of each individual load model consist of residential, industrial, commercial, official and agricultural load. The unbalance is involved with many single-phase line segment. . Voltage profile improvement and system loss minimization by installation of DGs depend greatly on how they are placed and operated in the distribution systems. So, DGs can reduce distribution real power losses and replace large-scale generators if they are placed appropriately in the distribution systems. The main idea of solving fuzzy goal programming is to transform the original objective function and constraints into the equivalent multi-objectives functions with fuzzy sets to evaluate their imprecise nature for the criterion of power loss minimization, the number or total capacity of DGs and the bus voltage deviation, and then solve the problem using genetic algorithm. The method proposed is applied to IEEE 13 bus and 34 bus test systems to demonstrate its effectiveness.

노년층 대상 의류 판매 웹사이트에서 제공하는 소비자 정보에 관한 내용 분석 연구 (Content Analysis of Consumer Information on On-Line Apparel Retailing Sites for Elderly Consumers)

  • 홍경희;추호정
    • 복식문화연구
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    • 제14권6호
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    • pp.971-986
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    • 2006
  • As baby boomer generations become older, these "New-age elderly" have emerged as an important consumer segment for apparel products. These young-minded elderly have positive attitudes to technology and enjoy many of high technology tool in their everyday life, which signals a huge market potential for internet apparel retailing targeting these elderly consumers. Internet apparel businesses are required to provide various consumer information to its consumers to facilitate the decision making process. For elderly consumers, who might have different shopping behaviors from the younger consumer segments, different kinds of information with higher quality would be required. As a preliminary step to develop internet consumer information model for elderly consumers, this study seeks to investigate the current practice of information offerings of internet apparel businesses for elderly consumers. Ten internet sites carrying apparel products for elderly consumers were selected and analyzed their offerings of consumer information by five researchers. This study found that internet apparel businesses targeting elderly consumers were still small-sized and lack of sophisticated technology to support these elderly consumers. Most web sites provided basic product information and service information but not fashion and trend related information. Managerial implications were discussed.

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뉴로-퍼지 추론 시스템을 이용한 물체인식 (Object Recognition Using Neuro-Fuzzy Inference System)

  • 김형근;최갑석
    • 한국통신학회논문지
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    • 제17권5호
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    • pp.482-494
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    • 1992
  • In this paper, the neuro-fuzzy inferene system for the effective object recognition is studied. The proposed neuro-fuzzy inference system combines learning capability of neural network with inference process of fuzzy theory, and the system executes the fuzzy inference by neural network automatically. The proposed system consists of the antecedence neural network, the consequent neural network, and the fuzzy operational part, For dissolving the ambiguity of recognition due to input variance in the neuro-fuzzy inference system, the antecedence’s fuzzy proposition of the inference rules are automatically produced by error back propagation learining rule. Therefore, when the fuzzy inference is made, the shape of membership functions os adaptively modified according to the variation. The antecedence neural netwerk constructs a separated MNN(Model Classification Neural Network)and LNN(Line segment Classification Neural Networks)for dissolving the degradation of recognition rate. The antecedence neural network can overcome the limitation of boundary decisoion characteristics of nrural network due to the similarity of extracted features. The increased recognition rate is gained by the consequent neural network which is designed to learn inference rules for the effective system output.

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도로지능화를 위한 교통축제어모형 개발에 관한 연구 (A study on the development of a corridos control model in the framework of the ITS)

  • 김동선
    • 대한공간정보학회지
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    • 제5권2호
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    • pp.29-43
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    • 1997
  • ITS 구축을 위한 고속도로축 통합최적제어모형은 진입램프미터링, 진출램프전환율 그리고 인접노면가로 g/C비 결정 등 3가지 제어 변수를 동시에 결정될 수 있도록 구축하였다. 또한 실시간 처리가 가능하도록 당초 비선형문제를 선형문제로 전환하기 위해 교통밀도 관계식을 두 개의 선형함수로 축약하고, SLP알고리즘을 사용한 컴퓨터 알고리즘도 제안하였다.

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