• Title/Summary/Keyword: computer based estimation

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A Study on Sensorless Control of Switched Reluctance Generator Using Instantaneous Inductance (인덕턴스를 이용한 Switched Reluctance Generator의 위치센서 없는 구동에 관한 연구)

  • Oh, Sung-Bo;Kim, Young-Seok;Kim, Young-Jo;You, Wan-Sik
    • Proceedings of the KIEE Conference
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    • 2001.04a
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    • pp.317-319
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    • 2001
  • A Switched Reluctance Generator attracts much attention in the generator because of high efficiency, simplicity, and ruggedness. However, they require rotor position information to operate. In many systems, the rotor position sensor is expensive, limited and undesirable. This paper describes a new approach to estimating the rotor position of a SRG from the measured terminal voltage and current for rotor position sensorless control. The proposed method Is based on the instantaneous inductance of the SRG. The proposed technique is very simple and it is able to apply to high speed operation under the stable condition because of its simplicity. The initial rotor position estimation algorithm is efficient and reliable. The proposed method is verified by computer simulation.

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Attitude Control of Model Helicopter using the LQR Controller (최적 LQR 제어기를 이용한 모형 헬리콥터의 자세 제어)

  • Han, Hak-Sic;Jeong, Sang-Chul;Kim, Gwan-Hyung;An, Young-Joo;Lee, Hyung-Ki
    • Proceedings of the KIEE Conference
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    • 2002.07d
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    • pp.2171-2175
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    • 2002
  • Helicopter dynamics are plenty of nonlinearity. A complete mathematical model including propeller dynamics and fortes generated by the propellers is very difficult to obtain. So the method used to design to design a controller is a parameter estimation. Design controller based on variable structure system. This paper deals with LQR control technique to control efficiently, its elevation angle and azimuth one. The purpose of the experiment is to design a controller allows to use a desired elevation angle and azimuth ones. The system model has a helicopter model with 2-degree-of freedom. The simulation results were verified usefulness of controller.

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3D Face Modeling using Face Image

  • Kim, Sanghyuk;Ban, Yuseok;Park, Changhyun;Lee, Sangyoun
    • Journal of International Society for Simulation Surgery
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    • v.2 no.1
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    • pp.10-12
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    • 2015
  • Purpose It has been stated that patient satisfaction is the crucial factor for determining success in plastic surgery. The convergence of medical science and computer vision has made easier to satisfy patients who wants to have plastic surgery. In this paper, we try to apply 3D face modeling in plastic surgical area. Materials and Methods The author introduces a method for accurate 3D face modeling techniques using a statistical model-based 3D face modeling approach in a mirror system. Results We could successfully obtain highly accurate 3D face shape results. Conclusion The method suggested could be used for acquiring 3D face models from 2D face image and the result obtained from this could be effectively used for plastic surgical areas.

View synthesis in uncalibrated images (임의 카메라 구조에서의 영상 합성)

  • Kang, Ji-Hyun;Kim, Dong-Hyun;Sohn, Kwang-Hoon
    • Proceedings of the IEEK Conference
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    • 2006.06a
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    • pp.437-438
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    • 2006
  • Virtual view synthesis is essential for 3DTV systems, which utilizes the motion parallax cue. In this paper, we propose a multi-step view synthesis algorithm to efficiently reconstruct an arbitrary view from limited number of known views of a 3D scene. We describe an efficient image rectification procedure which guarantees that an interpolation process produce valid views. This rectification method can deal with all possible camera motions. The idea consists of using a polar parameterization of the image around the epipole. Then, to generate intermediate views, we use an efficient dense disparity estimation algorithm considering features of stereo image pairs. Main concepts of the algorithm are based on the region dividing bidirectional pixel matching. The estimated disparities are used to synthesize intermediate view of stereo images. We use computer simulation to show the result of the proposed algorithm.

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A Block Adaptive Bit Allocation for Progressive Transmission of Mean Difference Pyramid Image (Mean difference pyramid 영상의 점진적 전송을 위한 블록 적응 비트 배정)

  • 김종훈;신재범;심영석
    • Journal of the Korean Institute of Telematics and Electronics B
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    • v.30B no.4
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    • pp.130-137
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    • 1993
  • In this paper, A progressive coding of mean difference pyramid by Hadamard transform of the difference between two successive pyramid levels has been studied. A block adaptive bit allocation method based on ac energy of each sub-block has been proposed, which efficiently reduces the final distortion in the progressive transmission of image parameters. In our scheme, the dc energy equals the sum of the quantization errors of the Hadamard transform coefficients at previous level. Therefore proposed allocation method includes the estimation of dc energy at each pyramid level. Computer simulation results show some improvements in terms of MSE and picture quality over the conventional fixed allocation scheme.

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Failure Prediction Monitoring of DC Electrolytic Capacitors in Half-bridge Boost Converter (단상 하프-브리지 부스트 컨버터에서 DC 전해 커패시터의 고장예측 모니터링)

  • Seo, Jang-Soo;Shon, Jin-Geun;Jeon, Hee-Jong
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.63 no.4
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    • pp.345-350
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    • 2014
  • DC electrolytic capacitor is widely used in the power converter including PWM inverter, switching power supply and PFC Boost converter system because of its large capacitance, small size and low cost. In this paper, basic characteristics of DC electrolytic capacitor vs. frequency is presented and the real-time estimation scheme of ESR and capacitance based on the bandpass filtering is adopted to the single phase boost converter of uninterruptible power supply to diagnose its split dc-link capacitors. The feasibility of this real-time failure prediction monitoring system is verified by the computer simulation of the 5[kW] singe phase PFC half-bridge boost converter.

Decision Feedback Detector for Space-Time Block Codes over Time-Varying Channels

  • Ahn, Kyung-Seung;Baik, Heung-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.5C
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    • pp.506-513
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    • 2003
  • Most existing space-time coding (STC) schemes have been developed for flat fading channels. To obtain antenna diversity gain, they rely on channel state information (CSI) required at the receiver through channel estimation techniques. This paper proposes a new decision feedback decoding scheme for Alamouti-based space-time block coding (STBC) transmission over time-selective fading channels. In wireless channels, time-selective fading effects arise mainly due to Doppler shift and carrier frequency offset, Modelling the time-selective fading channels as the first-order Gauss-Markov processes, we use recursive algorithms such as Kalman filtering, LMS and RLS algorithms for channel tracking. The proposed scheme consists of the symbol decoding stage and channel tracking algorithms. Computer simulations confirm that the proposed scheme shows the better performance and robustness to time-selectivity.

An Adaptive Approach to Learning the Preferences of Users in a Social Network Using Weak Estimators

  • Oommen, B. John;Yazidi, Anis;Granmo, Ole-Christoffer
    • Journal of Information Processing Systems
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    • v.8 no.2
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    • pp.191-212
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    • 2012
  • Since a social network by definition is so diverse, the problem of estimating the preferences of its users is becoming increasingly essential for personalized applications, which range from service recommender systems to the targeted advertising of services. However, unlike traditional estimation problems where the underlying target distribution is stationary; estimating a user's interests typically involves non-stationary distributions. The consequent time varying nature of the distribution to be tracked imposes stringent constraints on the "unlearning" capabilities of the estimator used. Therefore, resorting to strong estimators that converge with a probability of 1 is inefficient since they rely on the assumption that the distribution of the user's preferences is stationary. In this vein, we propose to use a family of stochastic-learning based Weak estimators for learning and tracking a user's time varying interests. Experimental results demonstrate that our proposed paradigm outperforms some of the traditional legacy approaches that represent the state-of-the-art technology.

An Empirical Study on the Sprinkler Operational Characteristics and Escape Time Estimation (스프링클러 작동특성(作動特性)과 피난평가(避難評價)에 관한 실증적(實證的) 연구(硏究))

  • Jin, Bok-Kweon
    • Journal of the Korea Safety Management & Science
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    • v.8 no.3
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    • pp.37-50
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    • 2006
  • The trends in building construction these days are moving towards having better work spaces and greater suitability for the use of information technology. Therefore people can work in a more relaxed delightful and pleasant environment. Accident such as like fire could cause the mass destruction of human beings. This paper aims to evaluate the path of the spread of a fire and the suitability of fire fighting appliances for maximum egress time. General advanced phase of compartment. Aswell, we analyzed and verified the path of the flame in compartment fires. Also we conducted an analysis of the adaptation of sprinkler systems concerned with sprinkler RTI. Moreover those evaluation is made more earlier by the development and use of computer simulation program and rapid progress to apply PBFD (Performance Based Fire Design).

On-line Frequency Estimation Based on Cascade Adaptive Notch Filter and Application to Active Noise Control

  • Kim, Sunmin;Park, Youngjin
    • 제어로봇시스템학회:학술대회논문집
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    • 1998.10a
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    • pp.81-84
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    • 1998
  • For ANC systems applied to aircrafts or passenger ships, engines from which reference signals are usually measured are located so far from seats where main part of controllers are placed. It can make feedforward ANC scheme difficult to implement or very costly. Feedback ANC algorithms which do not require reference signals and use error signals alone to update the filter, are usually sensitive to measurement noise ' and impulse noise. In this paper, reference signal needed for the feedforward control is not measured directly but generated with the estimated frequencies. Cascade adaptive notch filter (ANF), which has the low computational burden, is used to implement ANC system in real time. Several ANFs of order 2 are connected in series to estimate multiple sinusoids. Computer simulations and experiments in the laboratory for verifying efficacy of the proposed algorithm are carried out.

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