• Title/Summary/Keyword: automatic identification

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Facial Region Tracking by Infra-red and CCD Color Image (CCD 컬러 영상과 적외선 영상을 이용한 얼굴 영역 검출)

  • Yoon, T.H.;Kim, K.S.;Han, M.H.;Shin, S.W.;Kim, I.Y.
    • Proceedings of the KIEE Conference
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    • 2005.05a
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    • pp.60-62
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    • 2005
  • In this study, the automatic tracking algorithm tracing a human face is proposed by using YCbCr color coordinated information and its thermal properties expressed in terms of thermal indexes in an infra-red image. The facial candidates are separately estimated in CbCr color and infra-red domain, respectively with applying the morphological image processing operations and the geometrical shape measures for fitting the elliptical features of a human face. The identification of a true face is accomplished by logical 'AND' operation between the refined image in CbCr color and infra-red domain.

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Automatic Speaker Identification in Fairytales towards Robot Storytelling (로봇 동화 구연을 위한 동화 상 발화문의 화자 자동파악)

  • Min, Hye-Jin;Kim, Sang-Chae;Park, Jong C.
    • Annual Conference on Human and Language Technology
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    • 2012.10a
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    • pp.77-83
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    • 2012
  • 본 연구에서는 로봇의 자동 동화구연을 목표로 발화문장 상의 감정 파악 및 등장인물 별 다앙한 TTS 보이스 선택에 활용 가능한 발화문장의 화자 파악문제를 다룬다. 본 연구에서는 기존 규칙기반 방법론에서 많이 활용되어온 자질인 후보의 위치, 화자 후보의 주격/목적격 여부, 발화동사 존재 여부를 비롯하여 동화에 자주 나타나는 등장인물의 의미적 분류 및 등장인물의 등장/퇴장과 관련된 동사들을 추가 자질로 활용한다. 사람 및 동식물, 무생물이 모두 화자가 될 수 있는 동화 코퍼스에서 제안한 자질들을 활용하여 의사결정트리로 학습 및 검증한 결과 규칙기반의 베이스라인 방법에 비해 최대 49%의 정확도가 향상되었고, 제안한 방법론이 데이터의 변화에도 강인한 것을 확인할 수 있었다.

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Modeling and prediction of rapid pollution of insulators in substations based on weather information

  • Nanayakkara, Nishantha;Nakamura, Masatoshi;Goto, Satoru;Taniguchi, Takashi
    • 제어로봇시스템학회:학술대회논문집
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    • 1994.10a
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    • pp.202-206
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    • 1994
  • Mathematical model of the pollution rate of substation insulators is constructed, taking the model parameters as wind speed, wind direction, typhoon conditions and rainfall in an hourly basis. The main feature of model construction is to distinguish the effect of each parameter by separately analyzing the positive and negative pollution causing factors. Model parameters for the insulators of Karatsu substation, Saga, Japan were estimated and model validation was done using the actual data, in which the pollution deposits on the insulators were measured using pilot insulator and 'salt meter'. The proposed model of the pollution rate [mg/cm$^{2}$/hr] enables the identification of the effective parameters and prediction of the pollution rate so that it helps for the automatic decision making for insulator cleaning or the model can be used as a tool for the substation engineers to make precautionary measures.

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Unknown Parameter Identifier Design of Discrete-Time DC Servo Motor Using Artificial Neural Networks

  • Bae, Dong-Seog;Lee, Jang-Myung
    • Transactions on Control, Automation and Systems Engineering
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    • v.2 no.3
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    • pp.207-213
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    • 2000
  • This paper introduces a high-performance speed control system based on artificial neural networks(ANN) to estimate unknown parameters of a DC servo motor. The goal of this research is to keep the rotor speed of the DC servo motor to follow an arbitrary selected trajectory. In detail, the aim is to obtain accurate trajectory control of the speed, specially when the motor and load parameters are unknown. By using an artificial neural network, we can acquire unknown nonlinear dynamics of the motor and the load. A trained neural network identifier combined with a reference model can be used to achieve the trajectory control. The performance of the identification and the control algorithm are evaluated through the simulation and experiment of nonlinear dynamics of the motor and the load using a typical DC servo motor model.

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Comparison of Application Effect of Natural Language Processing Techniques for Information Retrieval (정보검색에서 자연어처리 응용효과 분석)

  • Xi, Su Mei;Cho, Young Im
    • Journal of Institute of Control, Robotics and Systems
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    • v.18 no.11
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    • pp.1059-1064
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    • 2012
  • In this paper, some applications of natural language processing techniques for information retrieval have been introduced, but the results are known not to be satisfied. In order to find the roles of some classical natural language processing techniques in information retrieval and to find which one is better we compared the effects with the various natural language techniques for information retrieval precision, and the experiment results show that basic natural language processing techniques with small calculated consumption and simple implementation help a small for information retrieval. Senior high complexity of natural language processing techniques with high calculated consumption and low precision can not help the information retrieval precision even harmful to it, so the role of natural language understanding may be larger in the question answering system, automatic abstract and information extraction.

Robust Music Identification Using Long-Term Dynamic Modulation Spectrum

  • Kim, Hyoung-Gook;Eom, Ki-Wan
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.2E
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    • pp.69-73
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    • 2006
  • In this paper, we propose a robust music audio fingerprinting system for automatic music retrieval. The fingerprint feature is extracted from the long-term dynamic modulation spectrum (LDMS) estimation in the perceptual compressed domain. The major advantage of this feature is its significant robustness against severe background noise from the street and cars. Further the fast searching is performed by looking up hash table with 32-bit hash values. The hash value bits are quantized from the logarithmic scale modulation frequency coefficients. Experiments illustrate that the LDMS fingerprint has advantages of high scalability, robustness and small fingerprint size. Moreover, the performance is improved remarkably under the severe recording-noise conditions compared with other power spectrum-based robust fingerprints.

GPS to monitor and track vehicle position in steel works

  • Park, Chel-No;Jee, Gyu-In
    • 제어로봇시스템학회:학술대회논문집
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    • 2001.10a
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    • pp.114.2-114
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    • 2001
  • In steel works, Locomotives and torpedo ladle cars are used to convey the smelted iron that comes out Blast Furnace to the steel-making mill. Above conveying vehicles are operated in all steel works area. And to trace their positions, after partitioned their areas, Automatic Vehicle Identification(RF-ID method) is installed on the railroad and identifies vehicle numbers. But AVI facilities have many problem that means that are too expensive, cost too much maintenance fee and inefficient management. This paper is to revamp those inefficient operations and state the status of operations of train positioning system, get to know what the problem is. And also when we use GPS to monitor and trace the vehicle position ...

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A Tool for the Analysis of Robot Soccer Game

  • Matko, Drago;Klancar, Gregor;Lepetic, Marko
    • International Journal of Control, Automation, and Systems
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    • v.1 no.2
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    • pp.222-228
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    • 2003
  • A tool which can be used for the analysis of a robot soccer game is presented. The tool enables automatic filtering and selection of game sequences which are suitable for the analysis of the game. Fuzzy logic is used since the data gathered by a camera is highly noisy. The data used in the paper was recorded during the game Germany - Slovenia in Hagen, on November 11, 2001. The dynamic parameters of our robots are estimated using the least squares technique. Meandering parameters are estimated and an attempt is made to identify the strategy of the opposing team with the method of introspection.

Automatic Face Identification System Using Adaptive Face Region Detection and Facial Feature Vector Classification

  • Kim, Jung-Hoon;Do, Kyeong-Hoon;Lee, Eung-Joo
    • Proceedings of the IEEK Conference
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    • 2002.07b
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    • pp.1252-1255
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    • 2002
  • In this paper, face recognition algorithm, by using skin color information of HSI color coordinate collected from face images, elliptical mask, fratures of face including eyes, nose and mouth, and geometrical feature vectors of face and facial angles, is proposed. The proposed algorithm improved face region extraction efficacy by using HSI information relatively similar to human's visual system along with color tone information about skin colors of face, elliptical mask and intensity information. Moreover, it improved face recognition efficacy with using feature information of eyes, nose and mouth, and Θ1(ACRED), Θ2(AMRED) and Θ 3(ANRED), which are geometrical face angles of face. In the proposed algorithm, it enables exact face reading by using color tone information, elliptical mask, brightness information and structural characteristic angle together, not like using only brightness information in existing algorithm. Moreover, it uses structural related value of characteristics and certain vectors together for the recognition method.

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An Overview of the Automatic Control Theory and Its Prospect (자동제어의 역사와 전망)

  • 양주호;정병건
    • Journal of Advanced Marine Engineering and Technology
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    • v.21 no.2
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    • pp.101-107
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    • 1997
  • 고전제어와 현대제어의 이론을 선형제어론을 중심으로 각각의 특징을 간략히 살펴보았다. 21세기의 문턱에 서 있는 현재, 과학의 발전은 급진전하고 있음은 주지하는 바이며, 이러한 시점에서 천학비재한 필자가 제어계의 미래를 전망한다는 것은 대단히 어려운 일이지만, 현재 상황으로 볼 때 짧은 기간의 미래에는 강인성에 중점을 둔 제어기의 설계에 관한 연구가 계속 되어지리라고 본다. 그리고 컴퓨터 기술의 발달과 더불어 복잡한 제어 알고리즘도 쉽게 실현될 수 있으므로 뉴럴네트워크 및 인공지능에 의한 제어 기술도 크게 발전될것으로 생각된다. 한편 일반적인 제어기의 설계 순서는 대상으로 하는 플란트의 동특성을 고려하여 플란트를 수학적으로 모델링하고, 모델링된 공칭모델을 기초로 하여 제어기를 설계한 다음, 시뮬레이션 및 실험을 통하여 설계된 제어계의 타당성을 검토하여 불만족스러운 경우는 제어계를 재설계하거나, 나아가 모델링을 다시 하는 것이 통상적으로 이용되어온 설계 순서였다. 이 경우는 플란트의 모델링 과정과 제어기 설계 과정이 완전히 독립적으로 이루어졌다. 그러나 최근 모델링과 제어기 설계의 불가분(나눌수 없음) 성이 제기되면서, 시스템의 동정(identification)과 보상기(compensator)의 통합화 설계기법이 제안되고 있으며, 앞으로 이 연구 테마도 흥미있는 한 분야가 될 것으로 생각된다.

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