• 제목/요약/키워드: vector computer

검색결과 1,998건 처리시간 0.033초

매입형 영구자석 동기전동기의 최소 손실 벡터제어 (Loss Minimizing Vector Control of Interior Permanent Magnet Synchronous Motor)

  • 정의훈;이용재;하정익
    • 전력전자학회논문지
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    • 제20권4호
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    • pp.330-336
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    • 2015
  • This paper presents a loss-minimizing vector control method for interior permanent magnet synchronous motor (IPMSM). Conventionally, maximum torque per ampere (MTPA) control, which minimizes copper loss, has been widely used in industry. Iron loss, however, is not considered in MTPA control. In this paper, the loss model, including iron loss and copper loss, is derived to further reduce drive loss. The loss-minimizing vector controller is implemented based on the loss model. The controller generates optimal current vectors according to the operating conditions. The performance and validity of the proposed method are proved by experimental results through comparison with conventional methods.

입 영역에서 외곽선의 기울기 보정을 통한 특징벡터 생성 기법 (A Feature Vector Generation Technique through Gradient Correction of an Outline in the Mouth Region)

  • 박정환;정종진;김국보
    • 한국멀티미디어학회논문지
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    • 제17권10호
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    • pp.1141-1149
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    • 2014
  • Recently, various methods to effectively eliminate the noise are researched in image processing techniques. However, the conventional noise filtering techniques, which remove most of the noise, are less efficient for remained noise detection after filtering due to exploiting no face feature information. In this paper, we proposed a feature vector generation technique in the mouth region by distinguishing and revising the remained noise through gradient correction, when the outline is extracted after performing noise filtering.

I-벡터 기반 오픈세트 언어 인식을 위한 다중 판별 DNN (Multiple Discriminative DNNs for I-Vector Based Open-Set Language Recognition)

  • 강우현;조원익;강태균;김남수
    • 한국통신학회논문지
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    • 제41권8호
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    • pp.958-964
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    • 2016
  • 본 논문에서는 여러 개의 이원 support vector machine (binary SVM)을 사용하여 세 개 이상의 클래스를 분류하는 multi-class SVM과 유사하게 다중의 판별 deep neural network (DNN) 모델을 사용하는 i-벡터 기반의 언어 인식 시스템을 제안한다. 제안하는 시스템은 NIST 2015 i-vector Machine Learning Challenge 데이터베이스에 포함된 i-벡터들을 이용하여 학습 및 테스트 되었으며, 오픈 세트에서 기존의 cosine distance, multi-class SVM 및 단일 neural network (NN) 기반의 언어 인식 시스템에 비하여 높은 성능을 보임이 확인되었다.

시-공간 벡터 채널에서 배열 안테나를 적용한 DS-CDMA 시스템의 대역폭과 각도 퍼짐에 따른 효과 (Performance Analysis of DS-CDMA System with Smart Antenna for Angular Spread and Bandwith in Spatio-temporal Vector Channel)

  • 전준수;유중찬;박현수;최민석;김철성
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2004년도 하계종합학술대회 논문집(1)
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    • pp.83-86
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    • 2004
  • In this paper, the performance of wideband CDMA system with smart antenna is analyzed for different bandwidth(1.25MHz, 2.5MHz, 5MHz) and angular spread at base station. In detail, the spatio-temporal wideband multipath vector channel model is proposed. And the received signals in 2D-RAKE receiver are rigorously analyzed in proposed vector channel model. We consider the effect of correlation between any two elements of antenna array. Several multipahts within one chip are distinguished into each one and the strongest signal is selected as a desired one. As a result, the performance of W-CDMA system with smart antenna in spatio-temporal wideband vector channel has been improved in proportion to the increase of angular spread and bandwidth.

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하이브리드 기법을 이용한 영상 식별 연구 (A Study on Image Classification using Hybrid Method)

  • 박상성;정귀임;장동식
    • 한국컴퓨터정보학회논문지
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    • 제11권6호
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    • pp.79-86
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    • 2006
  • 영상 식별 기술은 대용량의 멀티미디어 데이터베이스 환경 하에서 고속의 검색을 위해서 필수적이다. 본 논문은 이러한 고속 검색을 위하여 GA(Genetic Algorithm)과 SVM(Support Vector Machine)을 결합한 모델을 제안한다. 특징벡터로는 색상 정보와 질감 정보를 사용하였다. 이렇게 추출된 특징벡터의 집합을 제안한 모델을 통해 최적의 유효 특징벡터의 집합를 찾아 영상을 식별하여 정확도를 높였다. 성능평가는 색상, 질감. 색상과 질감의 연합 특징벡터를 각각 사용한 성능 비교. SYM과 제안된 알고리즘과의 성능을 비교하였다. 실험 결과 색상과 질감을 연합한 특징벡터를 사용한 것이 단일 특징벡터를 사용한 것 보다 좋은 결과를 보였으며 하이브리드 기법을 이용한 제안된 알고리즘이 SVM알고리즘만을 이용한 것 보다 좋은 결과를 보였다.

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야간 보행자인식을 위한 적외선 동영상의 형상특징벡터 생성기법 (Method of Generating Shape Feature Vector Using Infrared Video for Night Pedestrian Recognition)

  • 송병탁;김태석
    • 한국멀티미디어학회논문지
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    • 제21권7호
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    • pp.755-763
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    • 2018
  • In this paper, for recognize a night pedestrian from an infrared video, a new method differentiated from the existing feature vector is proposed and experimented. The new approach focuses on the shape feature vector of the structure and shape of the pedestrian image divided by the human body seven split ratio. The pedestrian images are divided into 7 square blocks from the still image of the preprocessing process. And to reduce the dimension, the square block is converted into a mosaic block. The scalar and direction of the shape feature vector is calculated by the brightness and position of the element in the mosaic. For practicality of infrared video system, the proposed method simplifies the data to be processed by reducing the amount of data in the preprocessing in order to continuously batch process the entire system in real time. Through the experiments, we verified the validity of the proposed shape feature vector. In comparison to the existing method, we propose a new shape feature vector generation method as the feature vector for night pedestrian recognition.

Bio-vector Generation Framework for Smart Healthcare

  • Shin, Yoon-Hwan
    • 한국컴퓨터정보학회논문지
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    • 제21권1호
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    • pp.107-113
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    • 2016
  • In this paper, by managing the biometric data is changed with the passage of time, a systematic and scientifically propose a framework to increase the bio-vector generation efficiency of the smart health care. Increasing the development of human life as a medicine and has emerged smart health care according to this. Organic and efficient health management becomes possible to generate a vector when the biological domain to the wireless communication infrastructure based on the measurement of the health status and to take action in accordance with the change of the physical condition. In this paper, we propose a framework to create a bio-vector that contains information about the current state of health of the person. In the proposed framework, Bio vectors may be generated by collecting the biometric data such as blood pressure, pulse, body weight. Biometric data is the raw data from the bio-vector. The scope of the primary data can be set to active. As the collecting biometric data from multiple items of the bio-recognition vectors may increase. The resulting bio-vector is used as a measure to determine the current health of the person. Bio-vector generating the proposed framework, it can aid in the efficiency and systemic health of healthcare for the individual.

Support Vector Machine을 이용한 유해 이미지 분류 (Adult Image Filtering using Support Vector Mchine)

  • 송철환;유성준
    • 한국정보과학회:학술대회논문집
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    • 한국정보과학회 2006년도 가을 학술발표논문집 Vol.33 No.2 (C)
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    • pp.218-221
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    • 2006
  • 본 논문은 인터넷의 대표적인 문제점중의 하나인 Adult Image 분류 연구에 대해 기술한다. 특히 우리는 이러한 Adult Image를 분류하기 위한 Data Set을 5가지 타입으로 구성한다. 이러한 각 Image에 대해 Color, Gradient, Edge Direction 특성의 Feature들을 추출하고 이를 Histogram으로 구성한다. 이렇게 구성된 Histogram을 Support Vector Machine에 적용하여 Adult Image를 분류한다. 그 결과, 우리는 8250개의 Test Set에 대하여 Recall(96.53%), Precision(97.33%), False Positive(2.96%), F-Measure(96.93%)의 성능 결과를 보여준다.

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SVG를 이용한 지리정보 활용에 대한 연구

  • 김희원
    • 한국GIS학회:학술대회논문집
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    • 한국GIS학회 2003년도 추계학술대회논문집
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    • pp.15-20
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    • 2003
  • As an emerging technology in Computer graphics areas, SVG(Scalable Vector Graphic) makes it possible to make use of Vector graphics for servicing maps in basic internet browsing environment. SVG based thematic map Internet GIS system implemented by this research is free of special server side GIS mapping system and client side extra technology. It provides high-quality vector map which can interact with the user, template map which can be used for other purpose, glance the future map based on Webservices technologies. Many good characteristics of SVG in mapping at computer screen and reusability of SVG document provide new era of visualzation of geographic information.

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주변 블록의 움직임 벡터 빈도수에 기반한 움직임 벡터 교정을 적용한 프레임 율 변환 기법 (Frame Rate Up-Conversion Using the Motion Vector Correction based on Motion Vector Frequency of Neighboring blocks)

  • 이정훈;한동일
    • 대한전자공학회:학술대회논문집
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    • 대한전자공학회 2007년도 하계종합학술대회 논문집
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    • pp.259-260
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    • 2007
  • In this paper, a frame rate up-conversion algorithm using the motion vector frequency of neighboring blocks to reduce the block artifacts caused by failure of conventional motion estimation based on block matching algorithm is proposed. Experimental results show good performance of the proposed scheme with significant reduction of the erroneous motion vectors and block artifacts.

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