• Title/Summary/Keyword: auto-input method

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Design of a permanent magnetic synchronous motor speed servo controller using on-line tuning PI control method (온라인 동조 PI 제어기법을 이용한 영구자석형 동기전동기의 속도 제어기 설계)

  • Jun, In-Hyo;Im, Sang-Duck;Choi, Jung-Keyng;Park, Seung-Yub
    • Journal of the Korean Institute of Telematics and Electronics S
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    • v.35S no.12
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    • pp.36-45
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    • 1998
  • In this paper, a method of on-line PI gain-tuninng is proposed for the speed control of brushless D.C. motor by investigating the pattern of input and output without estimating parameter. Proportional gain is tuned in the process to obtain a fast speed response by supplying the maximum constant input. And integral gain is appropriately tuned in the process of proportional control so that the response may be stably converged and the overshoot may be prevented. Therefore because both control and gain-tuning are executed concurrently, additional works that estimate parameters and so on aren't required in the proposed method. In the proposed method, both fast-response and overshoot problem are well solved, and it is more useful and convenient than existing auto-tuning methods in the speed control of D.C. motor. It is illustrated by simulations and experimental results that the proposed method is useful and stable.

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A Forecasting Method for Court Auction Information System using Exponential Smoothing (지수평활을 이용한 법원 경매 정보 시스템의 낙찰가 예측방법)

  • Oh, Kab-Suk
    • Journal of the Korea Society of Computer and Information
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    • v.11 no.5 s.43
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    • pp.59-67
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    • 2006
  • This paper proposes a forecasting method for court auction information system using exponential smoothing. The system forecast a highest bid price for claim analysis, and it is designed to offer an quota information by the bid price. For this realization, we implemented input interface of object data and web interface of information support. Input interface can be input, update and delete function and web interface is support some information of court auction object. We propose a forecasting method using exponential smoothing of a highest bid price for auto-claim analysis with real time information support and the results are verified the feasibility of the proposed method by experiment.

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A Study on Identification of State-Space Model for Refuse Incineration Plant (쓰레기 소각플랜트의 상태공간모델 규명에 관한 연구)

  • Hwang, l-Cheol;Jeon, Chung-Hwan;Lee, Jin-Kul
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.24 no.3
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    • pp.354-362
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    • 2000
  • This paper identifies a discrete-time linear combustion model of Refuse Incineration Plant(RIP) which characterizes steam generation quantity, where the RIP is considered as a MIMO system with thirteen-inputs and one-output. The structure of RIP model is described as an ARX model which are analytically obtained from the combustion dynamics. Furthermore, using the Instrumental Variable(IV) identification algorithm, model structure and unknown parameters are identified from experimental input-output data sets, In result, it is shown that the identified ARX model well approximates the input-output combustion characteristics given by experimental data sets.

Appearance-based Object Recognition Using Higher Order Local Auto Correlation Feature Information (고차 국소 자동 상관 특징 정보를 이용한 외관 기반 객체 인식)

  • Kang, Myung-A
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.7
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    • pp.1439-1446
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    • 2011
  • This paper describes the algorithm that lowers the dimension, maintains the object recognition and significantly reduces the eigenspace configuration time by combining the higher correlation feature information and Principle Component Analysis. Since the suggested method doesn't require a lot of computation than the method using existing geometric information or stereo image, the fact that it is very suitable for building the real-time system has been proved through the experiment. In addition, since the existing point to point method which is a simple distance calculation has many errors, in this paper to improve recognition rate the recognition error could be reduced by using several successive input images as a unit of recognition with K-Nearest Neighbor which is the improved Class to Class method.

Using Freeze Frame and Visual Notifications in an Annotation Drawing Interface for Remote Collaboration

  • Kim, Seungwon;Billinghurst, Mark;Lee, Chilwoo;Lee, Gun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.12 no.12
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    • pp.6034-6056
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    • 2018
  • This paper describes two user studies in remote collaboration between two users with a video conferencing system where a remote user can draw annotations on the live video of the local user's workspace. In these two studies, the local user had the control of the view when sharing the first-person view, but our interfaces provided instant control of the shared view to the remote users. The first study investigates methods for assisting drawing annotations. The auto-freeze method, a novel solution for drawing annotations, is compared to a prior solution (manual freeze method) and a baseline (non-freeze) condition. Results show that both local and remote users preferred the auto-freeze method, which is easy to use and allows users to quickly draw annotations. The manual-freeze method supported precise drawing, but was less preferred because of the need for manual input. The second study explores visual notification for better local user awareness. We propose two designs: the red-box and both-freeze notifications, and compare these to the baseline, no notification condition. Users preferred the less obtrusive red-box notification that improved awareness of when annotations were made by remote users, and had a significantly lower level of interruption compared to the both-freeze condition.

On the Linearization of Volterra Nonlinear Systems using DWT and a Predistorter (DWT 및 전치 왜곡기를 이용한 볼테라 시스템 선형화)

  • 강동준;김영근;남상원
    • Proceedings of the IEEK Conference
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    • 2000.09a
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    • pp.553-556
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    • 2000
  • This paper proposes an adaptive linearization method of Volterra nonlinear systems using DWT(Discrete Wavelet Transform)and an LMS-type predistorter. In particular, the proposed wavelet transform-domain lineatization method leads to diagonalization of the input vector auto-correlation matrix which yields improvement of the convergence rate of the corresponding transform-domain LMS algorithm. Furthermore, the adaptive Volterra predistorter followed by a corresponding weakly Volterra nonlinear system(here. a TWT amplifier model in a satellite communication system) is utilized to compensate for the distortion in the output. Also,12-PSK and 4-QAM are applied as the input to the nonlinear system to be tested. Some simulation results show that the proposed linearization approach has better performance than DCT-based or conventional normalized LMS algorithms do.

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Transient State Improvement of Three-Phase ZSI with the Input Feedforward and Fuzzy PI Controller (입력 피드포워드와 퍼지 PI제어기를 갖는 3상 ZSI의 과도상태 개선)

  • WU, Yan-Jun;Jung, Young-Gook;Lim, Young-Cheol
    • Proceedings of the KIPE Conference
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    • 2012.07a
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    • pp.359-360
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    • 2012
  • This paper proposes a scheme of auto-tuning fuzzy PI controller and input voltage feed forward to control the output voltage of a three-phase Z-source inverter (ZSI). The proposed scheme adjusts the ts (Kp and Ki) in real time in order to find the most suitable Kp and Ki for PI controller and to simplify the controller design. The proposed scheme is verified the validity by experiment and co-simulation in PSIM and MATLAB/SIMULINK both load step change and input DC voltage variation in Z-source inverter, and has compared with the conventional PID control scheme. The experiment results involve of three-phase output voltage, Z-network capacitor voltage and dc-link peak voltage value. By those analysis and comparison, the availability of the proposed method in output voltage transient response quality improving has been verified. Compared with conventional PID method, the proposed method showed a more effective and robust control performance for coping with the severe disturbance conditions.

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Selection of ROI for the AF using by Learning Algorithm and Stabilization Method for the Region (학습 알고리즘을 이용한 AF용 ROI 선택과 영역 안정화 방법)

  • Han, Hag-Yong;Jang, Won-Woo;Ha, Joo-Young;Hur, Kang-In;Kang, Bong-Soon
    • Journal of the Institute of Convergence Signal Processing
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    • v.10 no.4
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    • pp.233-238
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    • 2009
  • In this paper, we propose the methods to select the stable region for the detect region which is required in the system used the face to the ROI in the auto-focus digital camera. this method regards the face region as the ROI in the progressive input frame and focusing the region in the mobile camera embeded ISP module automatically. The learning algorithm to detect the face is the Adaboost algorithm. we proposed the method to detect the slanted face not participate in the train process and postprocessing method for the results of detection, and then we proposed the stabilization method to sustain the region not shake for the region. we estimated the capability for the stabilization algorithm using the RMS between the trajectory and regression curve.

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A High-Performance and Low-Cost Histogram Equalization Scheme for Full HD Image (Full HD 비디오를 위한 고성능, 저비용 히스토그램 평활화 방법)

  • Choi, Jung-Hwan;Park, Jong-Sik;Lee, Seong-Soo
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.15 no.5
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    • pp.1147-1154
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    • 2011
  • Auto exposure (AE) in image signal processor (ISP) controls brightness of input image to the proper brightness when it is too dark or bright. But conventional AEs often fail to get proper brightness since AE controls only average brightness of image. Especially in applications that require object recognition, it cannot be solved the problem by AE of ISP. In this paper proposes Histogram Equalization (HE) processes that is the alternative of AE. It also proposes proper method to realize hardware and compensate HE problems conventional by using simple calculation.

APPLICATION OF VISUALLISP PROGRAMMING LANGUAGE TO 3D SLUICE MODELING

  • Nguyen Thi Lan Truc;Po-Han Chen
    • International conference on construction engineering and project management
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    • 2007.03a
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    • pp.337-345
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    • 2007
  • Nowadays, it is convenient to use 3D modeling tools for general planning before construction. Normally, a 3D model is built with 3D CAD such as 3D Studio Max, Maya, etc. or simply with AutoCAD. All these software packages are effective in building 3D models but difficult to use, because many provided functions and tools require prior knowledge to build both 2D and 3D designs. Moreover, the traditional method of building 3D models is most time-consuming as experienced operators and manual input are required. Therefore, how to minimize the building time of 3D models and provide easy-to-use functions for users who are not familiar with 3D modeling becomes important. In this paper, the VisualLISP programming language is used to create a convenient tool for efficient generation of 3D components for the AutoCAD environment. This tool will be demonstrated with the generation of a 3D sluice, an artificial passage for water fitted with a valve or gate to stop or regulate water flow. With the tool, users only need to enter the parameters of a sluice in the edit box and the 3D model will be automatically generated in a few seconds. By changing parameters in the edit box and pressing the "OK" button, a new 3D sluice model will be generated in a short while.

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