• 제목/요약/키워드: VECTOR

검색결과 14,420건 처리시간 0.038초

에어컨 인버터의 3차원 Vector제어 (Three dimensional vector control of airconditioner inverter)

  • 장재석;이장명
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1997년도 한국자동제어학술회의논문집; 한국전력공사 서울연수원; 17-18 Oct. 1997
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    • pp.500-503
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    • 1997
  • In this paper, we investigate the control methodology of inverter Airconditioner, using the three dimensional vector scheme. The method of three dimensional vector aims at the determination of optimal switching patterns for PWM to reduce switching loss and to improve the performance supplied voltage. The induction motors are widely used for home Airconditioners. These motors can be classified into two types: on or off control of Airconditioner and the speed control of motor. For speed control of motors, generally PWM methods are used. The PWM method based upon the modulation of triangular wave can not afford to supply line voltage to the motor sufficiently because of the capacity of processing speed of micro processors. Therefore airconditioner can not be operated efficiently. This problem can be solved with the method of three dimensional vector since it can increase the supplied voltage and maximum operating frequency of motor to 173V and 96Hz, respectively. As the result, this method shows 10 - 15% increase of voltage and 10% increase of operating frequency over the modulation of triangular wave. According to a theoretical study, the number of switching in the method of three dimensional vector is smaller than that of the modulation of triangular wave. The power consumption can be reduced and the supplied voltage can be increased. In other words, the efficiency of Airconditioner can be improved. We show that the method of three dimensional vector can supply higher voltage than the modulation of triangular method through the experiments and verify the degree of improvement of efficiency theoretically.

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3D 메쉬 모델의 쉐이딩 시 시각적 왜곡을 방지하는 법선 벡터 압축에 관한 연구 (The Compression of Normal Vectors to Prevent Visulal Distortion in Shading 3D Mesh Models)

  • 문현식;정채봉;김재정
    • 한국CDE학회논문집
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    • 제13권1호
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    • pp.1-7
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    • 2008
  • Data compression becomes increasingly an important issue for reducing data storage spaces as well as transmis-sion time in network environments. In 3D geometric models, the normal vectors of faces or meshes take a major portion of the data so that the compression of the vectors, which involves the trade off between the distortion of the images and compression ratios, plays a key role in reducing the size of the models. So, raising the compression ratio when the normal vector is compressed and minimizing the visual distortion of shape model's shading after compression are important. According to the recent papers, normal vector compression is useful to heighten com-pression ratio and to improve memory efficiency. But, the study about distortion of shading when the normal vector is compressed is rare relatively. In this paper, new normal vector compression method which is clustering normal vectors and assigning Representative Normal Vector (RNV) to each cluster and using the angular deviation from actual normal vector is proposed. And, using this new method, Visually Undistinguishable Lossy Compression (VULC) algorithm which distortion of shape model's shading by angular deviation of normal vector cannot be identified visually has been developed. And, being applied to the complicated shape models, this algorithm gave a good effectiveness.

Construction of a New Gene-Fusion Expression Vector, pMONSTER

  • Baek, Chang-Ho;Wee, Sec-Han
    • Journal of Microbiology and Biotechnology
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    • 제10권5호
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    • pp.663-669
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    • 2000
  • The fur (ferric uptake regulation) expression vector pMON2064 was modified to produce a Fur-fusion expression vector. A kinker site, factor Xa cleavage site, and several restriction endonuclease sites were introduced to facilitate easy cloning and isolating of the fusion protein. The resulting fusion expression vector, pMONSTER, was then used to make fusion expression vector, pMONSTER, was then used to make fusion proteins with $\beta$-galactosidase and the protease of the human immunodeficiency virus type 1 (HIV-1 PR). Strain SW4020 harboring the Fur $\beta$-galactosidase fusion vector produced blue colonies on a 5-bromo-4-chloro-3-indolyl-$\beta$-D-galactoside plate and the resulting 133 kDa fusion protein reacted with an anti-Fur antibody. The strain harboring the Fur-HIV-1 PR fusion vector produced a 29 kDa fusion protein, which also reacted with an anti-Fur antibody. The Fur-HIV-1 PR fusion protein was purified by a single column application that was designed to isolate the Fur protein. The purified Fur-HIV-1 PR fusion protein digested with factor Xa cleaved a recombinant Gag protein to release smaller fragments, including a p24 capsid protein. The Fur-HIV-1 PR fusion protein itself did not exhibit any proteolytic activity.

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Selective Encryption Algorithm Based on DCT for GIS Vector Map

  • Giao, Pham Ngoc;Kwon, Gi-Chang;Lee, Suk-Hwan;Kwon, Ki-Ryong
    • 한국멀티미디어학회논문지
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    • 제17권7호
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    • pp.769-777
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    • 2014
  • With the rapid interest in Geographic Information System (GIS) contents, a large volume of valuable GIS dataset has been distributed illegally by pirates, hackers, or unauthorized users. Therefore the problem focus on how to protect the copyright of GIS vector map data for storage and transmission. At this point, GIS security techniques focusing on secure network and data encryption have been studied and developed to solve the copyright protection and illegal copy prevention for GIS digital map. But GIS vector map data is very large and current data encryption techniques often encrypt all components of data. That means we have encrypted large amount of data lead to the long encrypting time and high complexity computation. This paper presents a novel selective encryption scheme for GIS vector map data protection to store, transmit or distribute to authorized users using K-means algorithm. The proposed algorithm only encrypts a small part of data based on properties of polylines and polygons in GIS vector map but it can change whole data of GIS vector map. Experimental results verified the proposed algorithm effectively and error in decryption is approximately zero.

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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재조합 베큘로바이러스벡터와 대조 벡터의 비교 (Comparison of Recombinant Baculovirus Vector Systems and Control Vector System)

  • 김지영;홍성갑
    • 한국정보통신학회:학술대회논문집
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    • 한국정보통신학회 2015년도 춘계학술대회
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    • pp.954-957
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    • 2015
  • polyhedron promoter, vesicular stomatitis virus G (VSVG), polyA, cytomegalovirus (CMV) promoter, enhanced green fluorescent protein (EGFP), protein transduction domain (PTD) 유전자로 구성된 재조합 베큘로바이러스를 제작하였다. 본 재조합 베큘로바이러스 시스템은 여러가지 세포주와 여러 가지 조직에 감염하여 시험하였고 재조합된 유전자의 전달과 유전자 발현을 대조 벡터시스템과 비교하였다. 본 연구의 결과로 제작된 재조합 베큘로바이러스 시스템은 유전자의 전달과 발현에 있어서 대조 벡터시스템 보다 효능과 안전성면에서 우수하였다.

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벡터 회귀 트리를 이용한 한국어 에너지 궤적 생성 (Generating Korean Energy Contours Using Vector-regression Tree)

  • 이상호;오영환
    • 한국음향학회지
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    • 제22권4호
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    • pp.323-328
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    • 2003
  • 본 논문에서는 한국어 TTS 시스템을 위한 에너지 궤적 생성 방법에 대해 설명한다. 에너지 궤적 생성을 위해 스칼라 회귀 트리를 확장한 벡터 회귀 트리를 제안하고 구현하였다. 벡터 회귀 트리는 특징 벡터로부터 목적 벡터를 예측할 수 있으며, 본 연구에서는 각 음소당 10개의 에너지 값을 예측한다. 실험을 위해 500 문장의 문장 코퍼스와 그 문장들을 발성한 음성 코퍼스를 수집하였고, 이중 300 문장을 이용하여 트리들을 학습하고 200 문장에 대해 실험하였다. 에너지 궤적의 예측 정확률을 높이기 위해 배깅 트리 (bagged tree)와 재구축 트리 (born again tree)도 함께 구현한 결과, 원음의 에너지 궤적과 예측된 에너지 궤적간의 상관계수가 0.803으로 기존의 방법보다 더 좋은 결과를 얻을 수 있었다.

Cytolytic Effects of an Adenoviral Vector Containing L-Plastin Promoter Regulated E1A in Hepatocellular Carcinoma Cells

  • Chung, In-Jae
    • Biomolecules & Therapeutics
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    • 제14권3호
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    • pp.148-151
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    • 2006
  • We have previously reported that 2.4 kb of L-plastin promoter (LP) could regulate the expression of adenoviral vector (AV) exogenous genes in a tumor cell specific manner. In the present study, we tested if the replication competent AdLPE1A vector results in a direct cytotoxic effect in hepatocelluar carcinoma (HCC) cells. In vitro cytotoxicity tests were carried out with replication-competent (AdLPE1A) and -incompetent (AdLPCD) LP-driven vectors. AdLPE1A is an AV in which LP was inserted 5' to the E1A and E1B genes. The AdLPCD vector contains LP and the E. coli cytosine deaminase (CD) gene in transcription unit. Exposure of cells to AdLPE1A generated a significant cytotoxic effect as compared to the control. Almost 90% of the cell had manifested the characteristic cytopatic effect on day 9 after infection of cells with 10 MOI of AdLPE1A. On the other hand, almost 35% of the cells were left when the cells had been treated with 100 MOI of AdLPCD together with 5-FC on day 9 when compared with the cells which had never been exposed neither 5-FC nor AdLPCD. These results showed that the replication competent AdLPE1A vector could kill the HepG2 cells directly by the oncolytic effect of the virus. The replication competent AV vector carrying viral E1A generated greater cytotoxic effect than the replication incompetent AV, which contains the CD prodrug activation transcription unit without E1A, in HepG2 cells.

특징점간의 벡터 유사도 정합을 이용한 손가락 관절문 인증 (Finger-Knuckle-Print Verification Using Vector Similarity Matching of Keypoints)

  • 김민기
    • 한국멀티미디어학회논문지
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    • 제16권9호
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    • pp.1057-1066
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    • 2013
  • 손가락 관절문(FKP, finger-knuckle-print)을 이용한 개인 인증은 손가락 관절부에 나타나는 주름의 특징을 이용하는 것으로, 텍스처의 방향 정보가 중요한 특징이 된다. 본 논문에서는 SIFT 알고리즘을 이용하여 특징점들을 추출하고, 벡터 유사도 정합을 통해 FKP를 효과적으로 인증할 수 있는 방법을 제안하다. 벡터는 질의 영상에서 추출한 특징점과 이에 대응되는 참조 영상의 특징점을 연결하는 방향 벡터로 정의된다. 국소적인 특징점 쌍으로부터 방향 벡터를 생성하기 때문에 방향 벡터 자체는 국소적인 특징만을 나타내지만, 두 영상 간에 존재하는 다른 벡터들 간의 유사도를 비교함으로써 전역적인 특징으로 확장되는 장점이 있다. 실험결과 제안하는 방법은 기존의 방향코드를 이용한 다양한 방식에 비하여 우수한 성능을 나타내었다.

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.