• Title/Summary/Keyword: Feature Feedback

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Periodic Disturbance Cancellation by using Dual-Input Describing Function (DIDF) Method (DIDF 방법을 이용한 주기성 외란의 제거)

  • Choe, Yeon-Wook;Lee, Hyung-Ki
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.59 no.1
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    • pp.168-175
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    • 2010
  • The issue of rejecting periodic disturbances arises in various applications dealing with rotating machinery. A new method using DIDF (Dual-Input Describing Function) is presented for the rejection of periodic disturbances with uncertain frequency. This can be added to an existing feedback control system without altering the closed-loop system stability. The objective is to design a nonlinear compensator to secure specified oscillation amplitude and frequency which are the same as disturbances. We suggest two procedures to determine coefficients for DIDF's synthesis. The structure of the proposed DIDF is so simple that we can easily synthesize. A number of computer simulations were carried out to demonstrate the salient feature of the proposed DIDF compared to the conventional ones(that is, adaptive algorithms).

Design of Music Learning Assistant Based on Audio Music and Music Score Recognition

  • Mulyadi, Ahmad Wisnu;Machbub, Carmadi;Prihatmanto, Ary S.;Sin, Bong-Kee
    • Journal of Korea Multimedia Society
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    • v.19 no.5
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    • pp.826-836
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    • 2016
  • Mastering a musical instrument for an unskilled beginning learner is not an easy task. It requires playing every note correctly and maintaining the tempo accurately. Any music comes in two forms, a music score and it rendition into an audio music. The proposed method of assisting beginning music players in both aspects employs two popular pattern recognition methods for audio-visual analysis; they are support vector machine (SVM) for music score recognition and hidden Markov model (HMM) for audio music performance tracking. With proper synchronization of the two results, the proposed music learning assistant system can give useful feedback to self-training beginners.

APPAREL PRODUCTS RETRIEVAL SYSTEM BASED ON PSYCOLOGICAL FEATURE SPACE

  • Ohtake, Atsushi;Takatera, Masayuki;Furukawa, Takao;Shimizu, Yoshio
    • Proceedings of the Korean Society for Emotion and Sensibility Conference
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    • 2000.04a
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    • pp.240-243
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    • 2000
  • An apparel products retrieval system was proposed in which users can refer to products using Kansei evaluation values. The system adopts relevance feedback using history of the retrieval to learn the tendency of user evaluation. The system is based on a vector space retrieval model using products images expression as semantic scales. The system makes a query from user inputting information and retrieves closest products from the database. Revising algorithms of the difference method. linear multiple regression performed to investigate the effectiveness and criteria of the search. As a result of evaluation of the accuracy, it was found that the linear multiple regression and the neural network models are effective for the retrieval considering the individual Kansei.

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Onboard Active Vision Based Hovering Control for Quadcopter in Indoor Environments (실내 환경에서의 능동카메라 기반 쿼더콥터의 호버링 제어)

  • Jin, Tae-Seok
    • Journal of the Korean Society of Industry Convergence
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    • v.20 no.1
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    • pp.19-26
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    • 2017
  • In this paper, we describe the design and performance of UAV system toward compact and fully autonomous quadrotors, where they can complete logistics application, rescue work, inspection tour and remote sensing without external assistance systems like ground station computers, high-performance wireless communication devices or motion capture system. we propose high-speed hovering flyght height control method based on state feedback control with image information from active camera and multirate observer because we can get image of the information only every 30ms. Finally, we show the advantages of proposed method by simulations and experiments.

Walking of a Planar Biped with an Intuitive Method (직관적인 방법에 의한 평면형 2족 로봇의 보행)

  • Chung, Goo-Bong
    • The Journal of Korea Robotics Society
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    • v.4 no.1
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    • pp.17-24
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    • 2009
  • This work deals with an intuitive method for a planar biped to walk, which is named Relative Trajectory Control (RTC) method. A key feature of the proposed RTC method is that feet of the robot are controlled to track a given trajectory, which is specially designed relative to the base body of the robot. The trajectory of feet is presumed from analysis of the walking motion of a human being. A simple method to maintain a stable posture while the robot is walking is also introduced in RTC method. In this work, the biped is modeled as a free-floating robot, of which dynamic model is obtained in the Cartesian space. Using the obtained dynamic model, the robot is controlled by a model-based feedback control scheme. The author shows a preliminary experimental result to verify that the biped robot with RTC method can walk on the even or uneven surfaces.

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A Study on the Average Current-Mode Control AC/DC ZVT-Boost Converter with Active-Clamp Method (능동 클램프 방식을 이용한 AC/DC ZVT 승압형 컨버터의 평균전류모드 제어에 관한 연구)

  • Bae, Jin-Yong;Kim, Yong;Kim, Pill-Soo;Lim, Nam-Hyuk;Yoon, Suk-Ho;Chang, Sung-Won
    • Proceedings of the KIEE Conference
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    • 2001.07b
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    • pp.1005-1008
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    • 2001
  • This paper presents average current-mode control AC/DC ZVT(Zero Voltage Transition) Boost Converter. This boost converter perceives feed forward signal of input and feedback signal of output for average current-mode control proposed converter employs active-clamp method for ZVT. This converter gives the good PFC(Power Factor Correction), low line current hormonic distortions and tight output voltage regulations. This converter also has a high efficiency by active-clamp method. The principle of operation, feature, and design considerations are illustrated and verified through the experiment with a 150W, 120kHz prototype converter.

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Implementation of Android-based Mindmap Application for Shared Thinking (안드로이드 기반 사고 공유 마인드맵 애플리케이션 구현)

  • Hyun, Dong-Lim;Kim, Eun-Gil;Kim, Jong-Hoon
    • Journal of Fisheries and Marine Sciences Education
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    • v.23 no.2
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    • pp.234-243
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    • 2011
  • Mindmap is effective method to analyze informations. And, through mindmap, students can be able to grow their ability of logical reconstruction. In Modern society, people have been developing IT technology and variety of portable devices. So, Educational environments have been being changed accordingly, too. In this study, we have implemented mindmap application that based on android to share the group member's thinking. To effective sharing, we have used mindmap technique and photo attachment feature. In this study, expert evaluation has been carried out by elementary current teachers. In result of this expert evaluation, we have obtained positive feedback at sharing function, input technique and information display. Also, teachers have gave feedbacks that they are willing to use this application in class, if classroom environment is possible.

Training an Artificial Neural Network for Estimating the Power Flow State

  • Sedaghati, Alireza
    • 제어로봇시스템학회:학술대회논문집
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    • 2005.06a
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    • pp.275-280
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    • 2005
  • The principal context of this research is the approach to an artificial neural network algorithm which solves multivariable nonlinear equation systems by estimating the state of line power flow. First a dynamical neural network with feedback is used to find the minimum value of the objective function at each iteration of the state estimator algorithm. In second step a two-layer neural network structures is derived to implement all of the different matrix-vector products that arise in neural network state estimator analysis. For hardware requirements, as they relate to the total number of internal connections, the architecture developed here preserves in its structure the pronounced sparsity of power networks for which state the estimator analysis is to be carried out. A principal feature of the architecture is that the computing time overheads in solution are independent of the dimensions or structure of the equation system. It is here where the ultrahigh-speed of massively parallel computing in neural networks can offer major practical benefit.

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Transmission of channel quality indicator (CQI) for efficient scheduling of TD-HSDPA systems (TD-HSDPA에서 효율적인 스케줄링을 위한 채널품질정보 (CQI) 전송)

  • Yeo, Woon-Young;Lee, Sang-Yun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.269-270
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    • 2008
  • TD-SCDMA combines TDMA and CDMA components to provide more efficient use of radio resources, and includes a new feature called HSDPA (high-speed downlink packet access) in the R5 stage. The TD-HSDPA supports high-speed traffic with a shared channel, but the adopted mechanism causes feedback problem for scheduling. In this paper, we propose an improved mechanism that transmits channel quality indicator (CQI) more frequently, so that the TD-HSDPA scheduler can utilize all possible information about the downlink channel status.

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Radio resource allocation of TD-HSDPA based on position location of mobile terminals (TD-HSDPA에서 단말의 위치에 따른 무선자원 할당)

  • Yeo, Woon-Young;Kim, Seong-Keun
    • Proceedings of the IEEK Conference
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    • 2008.06a
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    • pp.271-272
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    • 2008
  • TD-SCDMA combines TDMA and CDMA components to provide more efficient use of radio resources, and includes a new feature called HSDPA (high-speed downlink packet access) in the R5 stage. The TD-HSDPA supports high-speed traffic with a shared channel, but its uplink mechanism causes feedback problem for scheduling. Since the base station of TD-SCDMA can estimate the location of mobile terminals precisely, it can also estimate the possible path loss. In this paper, the base station utilizes the estimated path loss for scheduling, which is related with CQI (channel quality indicator) values. The proposed mechanism can provide the TD-HSDPA scheduler with an intial CQI value for efficient transmission.

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