• Title/Summary/Keyword: 축소 시스템 기법

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A Design of Adaptive Backstepping Controller for Improving Position Accuracy of Linear Motor-based Container Transportation System with Dynamic Friction (선형전동기기반 컨테이너 이송시스템의 위치정확도 향상을 위한 적응 Backstepping 제어기 설계)

  • Lee, Jin-Woo;Seo, Jung-Hyun;Han, Geun-Jo;Lee, Kwon-Soon
    • Proceedings of the Korean Institute of Navigation and Port Research Conference
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    • v.1
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    • pp.405-413
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    • 2006
  • In general mechanical servo systems, friction deteriorates the performance of controllers by its nonlinear characteristics. Especially, friction phenomenon causes steady-state tracking errors and limit cycles in position and velocity control systems, even though gains of controllers are tuned well in linear system model. Even if sensor is used higher accuracy level, it is difficult to improve tracking performance of the position to the same level with a general control method such as PID type. Therefore, many friction models were proposed and compensation methods have been researched actively. In this paper, we consider that the variation of mover's mass is various by loading and unloading. The normal force variation occurs by it an other parameters. Therefore, the proposed control system is composed of main position controller and a friction compensator. A parameter estimator for a nonlinear friction model is designed by adaptive control law and adaptive backstepping control method.

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Tensile Force Estimation of Externally Prestressed Tendon Using SI technique Based on Differential Evolutionary Algorithm (차분 진화 알고리즘 기반의 SI기법을 이용한 외부 긴장된 텐던의 장력추정)

  • Noh, Myung-Hyun;Jang, Han-Taek;Lee, Sang-Youl;Park, Taehyo
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.29 no.1A
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    • pp.9-18
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    • 2009
  • This paper introduces the application of DE (Differential Evolutionary) method for the estimation of tensile force of the externally prestressed tendon. The proposed technique, a SI (System Identification) method using the DE algorithm, can make global solution search possible as opposed to classical gradient-based optimization techniques. The numerical tests show that the proposed technique employing DE algorithm is a useful method which can detect the effective nominal diameters as well as estimate the exact tensile forces of the externally prestressed tendon with an estimation error less than 1% although there is no a priori information about the identification variables. In addition, the validity of the proposed technique is experimentally proved using a scale-down model test considering the serviceability state condition without and with the loss of the prestressed force. The test results prove that the technique is a feasible and effective method that can not only estimate the exact tensile forces and detect the effective nominal diameters but also inspect the damping properties of test model irrespective of the loss of the prestressed force. The 2% error of the estimated effective nominal diameter is due to the difference between the real tendon diameter with a wired section and the FE model diameter with a full-section. Finally, The accuracy and superiority of the proposed technique using the DE algorithm are verified through the comparative study with the existing theories.

A Study on the Implementation of Inverter Systems for Regenerated Power Control (회생전력 제어용 인버터 시스템의 구현에 관한 연구)

  • 金 敬 源;徐 永 泯;洪 淳 瓚
    • The Transactions of the Korean Institute of Power Electronics
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    • v.7 no.2
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    • pp.205-213
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    • 2002
  • This paper deals with the implementation of three-phase VSI systems which can control the power regenerated from DC bus line to AC supply. The overall system consists of the line-to-line voltage and line current sensors, an actual power calculator using d-q transformation method, a complex power controller with PI control scheme, a gating signal generator for modified q-conduction mode, a DPLL for frequency followup, and Power circuits. Control board is constructed by using a 32-bit DSP TMS32C32, two EFLDs , six ADCs, and a DAC. To verify the performance of the proposed system, we designed and constructed the propotype with the power rating of 5kVA at AC 220V. Experimental results show that the regenerated active power is well controlled to its command vague and the regenerated reactive power still remained at nearly zero through all operating modes.

A Study on the Triple Module Redundancy ARM processor for the Avionic Embedded System (항공용 임베디드 시스템을 위한 Triple Module Redundancy 구조의 임베디드 하드웨어 신뢰성 평가)

  • Lee, Dong-Woo;Kim, Byeong-Young;Ko, Wan-Jin;Na, Jong-Whoa
    • Journal of Advanced Navigation Technology
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    • v.14 no.1
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    • pp.87-92
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    • 2010
  • The design of avionic embedded systems requires high-dependability. In this paper, we studied the dependability of the triple modular redundancy (TMR) hardware for highly reliable aviation embedded system. In order to evaluate the dependability of the base ARM processor and the TMR ARM processor, we developed the simulation model of the reduced ARM and TMR ARM processors and performed the simulation fault injection for the analysis of the dependability of the two targets. In the fault injection experiments, we calculated the error recovery rate of the two the processor models. From the experimental results, we could confirm that the reliability of the TMR ARM processor was greater than the single ARM processor by ten times in some cases.

Face Recognition using LDA and Local MLP (LDA와 Local MLP를 이용한 얼굴 인식)

  • Lee Dae-Jong;Choi Gee-Seon;Cho Jae-Hoon;Chun Myung-Geun
    • Journal of the Korean Institute of Intelligent Systems
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    • v.16 no.3
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    • pp.367-371
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    • 2006
  • Multilayer percepteon has the advantage of learning their optimal parameters and efficiency. However, MLP shows some drawbacks when dealing with high dimensional data within the input space. Also, it Is very difficult to find the optimal parameters when the input data are highly correlated such as large scale face dataset. In this paper, we propose a novel technique for face recognition based on LDA and local MLP. To resolve the main drawback of MLP, we calculate the reduced features by LDA in advance. And then, we construct a local MLP per group consisting of subset of facedatabase to find its optimal learning parameters rather than using whole faces. Finally, we designed the face recognition system combined with the local MLPs. From various experiments, we obtained better classification performance in comparison with the results produced by conventional methods such as PCA and LDA.

Development of a Tiled Display GOCI Observation Satellite Imagery Visualization System (타일드 디스플레이 천리안 해양관측 위성 영상 가시화 시스템 개발)

  • Park, Chan-sol;Lee, Kwan-ju;Kim, Nak-hoon;Lee, Sang-ho;Seo, Ki-young;Park, Kyoung Shin
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2013.10a
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    • pp.641-642
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    • 2013
  • This research implemented Geostationary Ocean Color Imager (GOCI) observation satellite imagery visualization system on a large high-resolution tiled display. This system is designed to help users observe or analyze satellite imagery more effectively on the tiled display using multi-touch and Kinect motion gesture recognition interaction. We developed the multi-scale image loading and rendering technique for the massive amount of memory management and smooth rendering for GOCI satellite imagery on the tiled display. In this system, the unit of time corresponding to the selected date of the satellite images are sequentially displayed on the screen. Users can zoom-in, zoom-out, move the imagery and select some buttons to trigger functions using both multi-touch or Kinect gesture interaction.

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Intelligent Bridge Safety Prediction Edge System (지능형 교량 안전성 예측 엣지 시스템)

  • Jinhyo Park;Taejin Lee;Yong-Geun Hong;Joosang Youn
    • KIPS Transactions on Computer and Communication Systems
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    • v.12 no.12
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    • pp.357-362
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    • 2023
  • Bridges are important transportation infrastructure, but they are subject to damage and cracking due to various environmental factors and constant traffic loads, which accelerate their aging. With many bridges now older than their original construction, there is a need for systems to ensure safety and diagnose deterioration. Bridges are already utilizing structural health monitoring (SHM) technology to monitor the condition of bridges in real time or periodically. Along with this technology, the development of intelligent bridge monitoring technology utilizing artificial intelligence and Internet of Things technology is underway. In this paper, we study an edge system technique for predicting bridge safety using fast Fourier transform and dimensionality reduction algorithm for maintenance of aging bridges. In particular, unlike previous studies, we investigate whether it is possible to form a dataset using sensor data collected from actual bridges and check the safety of bridges.

Transformation of Dynamic Loads into Equivalent Static Load based on the Stress Constraint Conditions (응력 구속조건을 고려한 동하중의 등가정하중으로의 변환)

  • Kim, Hyun-Gi;Kim, Euiyoung;Cho, Maenghyo
    • Journal of the Computational Structural Engineering Institute of Korea
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    • v.26 no.2
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    • pp.165-171
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    • 2013
  • Due to the difficulty in considering dynamic load in the view point of a computer resource and computing time, it is common that external load is assumed as ideal static loads. However, structural analysis under static load cannot guarantee the safety of design of the structures under dynamic loadings. Recently, the systematic method to construct equivalent static load from the given dynamic load has been proposed. Previous study has calculated equivalent static load through the optimization procedure under displacement constraints. However, previously reported works to distribute equivalent static load were based on ad-hoc methods. Improper selection of equivalent static loading positions may results in unreliable prediction of structural design. The present study proposes the selection method of the proper locations of equivalent static loads to dynamically applied loads when we consider transient dynamic structural problems. Moreover, it is appropriate to take into account the stress constraint as well as displacement constraint condition for the safety design. But the previously reported studies of equivalent static load design methods considered only displacement constraint conditions but not stress constraint conditions. In the present study we consider not only displacement constraint but also stress constraint conditions. Through a few numerical examples, the efficiency and reliability of proposed scheme is verified by comparison of the equivalent stress between equivalent static loading and dynamic loading.

발명하는 사람들-제54호

  • Han, Mi-Yeong
    • The Inventors News
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    • no.54
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    • pp.1-16
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    • 2007
  • 한국여성경제단체연합, 여성경제계 위해 공식 출범/발행인 칼럼/'마드리드 출원제도' 적극 활용 상표 침해 줄여라/일본 특허출원 심사기간 단축된다/기업.연구소 신입사원75%, 특허 관련 지식 전무/'주몽'이계인 씨 산자부 홍보대사 위촉/특허등록세, 신청 다음날 내도 된다/특허청, 6시그마 공공부문 혁신 주도/아듀 2006 한국여성발명협회 결산/자문위원 칼럼/로봇시장에도 브랜드 선점 열풍/농산물도 발명특허 상표 등록 시대/도소매업도 서비스업으로 출원 가능/기름대신 물 사용한 자동차, 항공기 현실화/반도체 배선 기술 특허 출원 상승세/자동차는 모바일 엔터네이너/'적외선 감지기술' 우리 생활속으로/서울반도체.바론테크, 일본 특허분쟁 승소/하나TV, 특허권 침해 피소/삼성전자, 분쟁.경쟁 대응위해 특허조직 통합/신한다이아몬드 일본 MDI 특허분쟁 승소/미니인터뷰/나노기술 응용한 디스플레이 특허출원 급증/미국의 두 배인 '휴면 특허', 대책 마련 시급/특허법원 "사용횟수 적다고 상표취소 못해"/종자번식 유전자 변형식물도 특허출원 가능/변리사 1차 시험 합격자 대폭 축소/역사 속의 발명품/하루 10분 발명교실/특허Q&A/신년인터뷰/화장하는 방법도 특허 받는다/'취업에서 결혼까지' 올인원 시스템 화제/아이디어 착상 및 발명 기법/아줌마의 힘이 발휘될 때까지 발명 또 발명/버뱅크의 식물 품종 개량/미국 청년, 몸짱 선탠용 티셔츠 발명/스위스, 국가경쟁력 1위의 비밀/저지방식,'유방암' 제발 위험 감소/서울대, 세계최초 암캐 복제 성공/국가 R&D 특허조사, 전체 R&D 부처로 확대/전국 초.중생 발명 글짓기.만화현상 공모전/특허청, 공공부문 성과주의 대통령상/한국여성발명협회 회원사 발명품 가이드

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Kinect-based Motion Recognition Model for the 3D Contents Control (3D 콘텐츠 제어를 위한 키넥트 기반의 동작 인식 모델)

  • Choi, Han Suk
    • The Journal of the Korea Contents Association
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    • v.14 no.1
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    • pp.24-29
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    • 2014
  • This paper proposes a kinect-based human motion recognition model for the 3D contents control after tracking the human body gesture through the camera in the infrared kinect project. The proposed human motion model in this paper computes the distance variation of the body movement from shoulder to right and left hand, wrist, arm, and elbow. The human motion model is classified into the movement directions such as the left movement, right movement, up, down, enlargement, downsizing. and selection. The proposed kinect-based human motion recognition model is very natural and low cost compared to other contact type gesture recognition technologies and device based gesture technologies with the expensive hardware system.