• Title/Summary/Keyword: Vector representation

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Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization

  • Benziane, Sarah Hachemi;Benyettou, Abdelkader
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.268-284
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    • 2017
  • The dorsal hand vein biometric system developed has a main objective and specific targets; to get an electronic signature using a secure signature device. In this paper, we present our signature device with its different aims; respectively: The extraction of the dorsal veins from the images that were acquired through an infrared device. For each identification, we need the representation of the veins in the form of shape descriptors, which are invariant to translation, rotation and scaling; this extracted descriptor vector is the input of the matching step. The optimization decision system settings match the choice of threshold that allows accepting/rejecting a person, and selection of the most relevant descriptors, to minimize both FAR and FRR errors. The final decision for identification based descriptors selected by the PSO hybrid binary give a FAR =0% and FRR=0% as results.

Sensorless Control of Induction Motor using Adaptive FNN Controller (적응 FNN에 의한 유도전동기의 센서리스 제어)

  • Lee, Young-Sil;Lee, Jung-Chul;Lee, Hong-Gyun;Nam, Su-Myeong;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2004.10a
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    • pp.179-181
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    • 2004
  • This paper is proposed an adaptive fuzzy-neural network(A-FNN) controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed estimation of induction motor using A closed-loop state observer. The rotor position is calculated through the stator flux position and an estimated flux value of rotation reference frame. A closed-loop state observer is implemented to compute the speed feedback signal. The results of analysis prove that the proposed control system has strong robustness to rotor parameter variation, and has good steady-state accuracy and transitory response.

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SVG document editing system based on XML for structured graphic representation (XML기반의 구조화된 그래픽 표현을 위한 SVG문서 저작 시스템)

  • 배희재;송병규;김윤기;김창수;정회경
    • Proceedings of the Korean Information Science Society Conference
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    • 2004.04a
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    • pp.817-819
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    • 2004
  • 인터넷의 급속한 발전은 기존의 정적인 웹을 탈피하여 사용자들로 하여금 더욱더 동적이고 다양한 콘텐츠를 요구하는 형태로 바뀌어 가는 실정이다. 따라서 이러한 사용자들의 욕구를 충족시키기 위해 인터넷 상에서 표현의 고급화와 체계적이고 구조적인 방식의 콘텐츠를 생성하고 관리하기 위한 방법들이 논의됨에 따라 이를 충족시키기 위한 방법으로 W3C(World Wide Web Consortium)에서는 SVG(Sealable Vector Graphics)를 제안하였다. SVG는 기존의 인터넷에서 사용되던 비트맵 기반의 디스플레이 보다 훨씬 풍부하고 정교한 그래픽 표현을 제공하기 때문에 기능이나 장지 호환성의 희생 없이 완전하게 벡터 그래픽을 표현한다. 또한. 그래픽에 대한 논리적인 구조를 기술함으로써 인덱싱, 검색, 저장 또는 공유가 가능하도록 정의하고 있다. 이에 본 논문에서는 SVG에 관한 기초기술 연구 및 구조화된 SVG 문서를 사용자 중심의 편집 인터페이스를 통해 일반 사용자들이 손쉽게 그래픽 객체를 직접 저작함에 따라 복잡한 SVG 구문을 자동으로 생성하는 SVG 문서 저작 시스템을 설계 및 구현한다.

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3-D Representation of Cavity Region from Ultrasonic Image Acquired in the Time Domain (시간 영역에서 획득된 초음파 영상의 심내강 영역에 대한 3차원 표현)

  • Won, C.H.;Chae, S.P.;Koo, S.M.;Kim, M.N.;Cho, J.H.
    • Proceedings of the KOSOMBE Conference
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    • v.1997 no.05
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    • pp.119-122
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    • 1997
  • In this paper, we represented the variation of heart cavity area in the space domain by 3-d rendering. We arranged the 2-d sequence of ultrasonic image acquired in the time domain as volumetric data, and extracted heart cavity region from 3-d data. For the segmentation of 3-d volume data, we extracted the cavity region using the method of expanding the cavity region that is same statistical property. By shading which is using light and object normal vector, we visualized the volume data on image plane.

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Sequence-to-sequence Autoencoder based Korean Text Error Correction using Syllable-level Multi-hot Vector Representation (음절 단위 Multi-hot 벡터 표현을 활용한 Sequence-to-sequence Autoencoder 기반 한글 오류 보정기)

  • Song, Chisung;Han, Myungsoo;Cho, Hoonyoung;Lee, Kyong-Nim
    • Annual Conference on Human and Language Technology
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    • 2018.10a
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    • pp.661-664
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    • 2018
  • 온라인 게시판 글과 채팅창에서 주고받는 대화는 실제 사용되고 있는 구어체 특성이 잘 반영된 텍스트 코퍼스로 음성인식의 언어 모델 재료로 활용하기 좋은 학습 데이터이다. 하지만 온라인 특성상 노이즈가 많이 포함되어 있기 때문에 학습에 직접 활용하기가 어렵다. 본 논문에서는 사용자 입력오류가 다수 포함된 문장에서의 한글 오류 보정을 위한 sequence-to-sequence Denoising Autoencoder 모델을 제안한다.

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Effects of Surface Termination on Directional Emission from Photonic Crystal Waveguides

  • Chung, K.B.
    • Journal of the Optical Society of Korea
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    • v.12 no.1
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    • pp.13-18
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    • 2008
  • We numerically investigate by the finite-difference time-domain method the effects of surface termination on directional emission exiting a photonic crystal waveguide. The directed power and far-field beam profile for the original proposal [E. Moreno et al., Phys. Rev. B 69, 121402 (2004)] and its enhancement [S. K. Morrison et al., Appl. Phys. Lett. 86, 081110 (2005)] are computed for different values of some important parameters. We find another surface termination condition with a positive surface displacement in the structure of the original proposal which has a negative surface displacement. Our surface termination is more effective than the original structure, and nearly as effective as the termination for the enhancement, for directional emission. Besides, our termination is simpler than that for the enhancement. We confirm the effectiveness of directional emission from our termination in its far-field beam profile, radiation intensity distribution, and additionally the wave-vector space representation by the Fourier analysis.

Segmentation and Classification of Range Data Using Phase Information of Gabor Fiter (Gabor 필터의 위상 정보를 이용한 거리 영상의 분할 및 분류)

  • 현기호;이광호;황병곤;조석제;하영호
    • Journal of the Korean Institute of Telematics and Electronics
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    • v.27 no.8
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    • pp.1275-1283
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    • 1990
  • Perception of surfaces from range images plays a key role in 3-D object recognition. Recognition of 3-D objects from range images is performed by matching the perceived surface descriptions with stored object models. The first step of the 3-d object recognition from range images is image segmentation. In this paper, an approach for segmenting 3-D range images into symbolic surface descriptions using spatial Gabor filter is proposed. Since the phase of data has a lot of important information, the phase information with magnitude information can effectively segment the range imagery into regions satisfying a common homogeneity criterion. The phase and magnitude of Gabor filter can represent a unique featur vector at a point of range data. As a result, range images are trnasformed into feature vectors in 3-parameter representation. The methods not only to extract meaningful features but also to classify a patch information from range images is presented.

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Hybrid Intelligent Control for Speed Sensorless of SPMSM Drive (SPMSM 드라이브의 속도 센서리스를 위한 하이브리드 지능제어)

  • Lee Jung-Chul;Lee Hong-Gyun;Chung Dong-Hwa
    • The Transactions of the Korean Institute of Electrical Engineers D
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    • v.53 no.10
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    • pp.690-696
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    • 2004
  • This paper is proposed a hybrid intelligent controller based on the vector controlled surface permanent magnet synchronous motor(SPMSM) drive system. The hybrid combination of neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of SPMSM using neural network-fuzzy(NNF) control and speed estimation using artificial neural network(ANN) Controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The back propagation mechanism is easy to derive and the estimated speed tracks precisely the actual motor speed. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

Object-Based Image Search Using Color and Texture Homogeneous Regions (유사한 색상과 질감영역을 이용한 객체기반 영상검색)

  • 유헌우;장동식;서광규
    • Journal of Institute of Control, Robotics and Systems
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    • v.8 no.6
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    • pp.455-461
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    • 2002
  • Object-based image retrieval method is addressed. A new image segmentation algorithm and image comparing method between segmented objects are proposed. For image segmentation, color and texture features are extracted from each pixel in the image. These features we used as inputs into VQ (Vector Quantization) clustering method, which yields homogeneous objects in terns of color and texture. In this procedure, colors are quantized into a few dominant colors for simple representation and efficient retrieval. In retrieval case, two comparing schemes are proposed. Comparing between one query object and multi objects of a database image and comparing between multi query objects and multi objects of a database image are proposed. For fast retrieval, dominant object colors are key-indexed into database.

Sensorless Control of Induction Motor Using Fuzzy-Neural Network (퍼지-신경회로망을 이용한 유도전동기의 센서리스 제어)

  • Nam, Su-Myeong;Lee, Jung-Chul;Lee, Hong-Gyun;Lee, Young-Sil;Chung, Dong-Hwa
    • Proceedings of the KIEE Conference
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    • 2004.04a
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    • pp.177-180
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    • 2004
  • This paper is proposed a fuzzy neural network controller based on the vector controlled induction motor drive system. The hybrid combination of fuzzy control and neural network will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed estimation and control of speed of induction motor using ANN Controller. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. This paper is proposed the theoretical analysis as well as the simulation results to verify the effectiveness of the new method.

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