• Title/Summary/Keyword: RS means

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High Temeprature Strength Property of Continuous SiC Fiber Reinforced SiC Matrix Composites (SiC 장섬유 강화 SiC 기지 복합재료의 고온강도 특성)

  • Shin, Yun-Seok;Lee, Sang-Pil;Lee, Jin-Kyung;Lee, Joon-Hyun
    • Proceedings of the Korean Society For Composite Materials Conference
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    • 2005.04a
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    • pp.102-105
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    • 2005
  • The mechanical properties of $SiC_f/SiC$ composites reinforced with continuous SiC fiber have been investigated in conjunction with the detailed analysis of their microstructures. Especially, the effect of test temperature on the characterization of $SiC_f/SiC$ composites was examined. In this composite system, a braiding Hi-Nicalon SiC fibric was selected as a reinforcement. $SiC_f/SiC$ composites have been fabricated by the reaction sintering process, using the complex matrix slurry with a constant composition ratio of SiC and C particles. The characterization of $RS-SiC_f/SiC$ composites was investigated by means of SEM, EDS and three point bending test. Based on the mechanical property-microstructure correlation, the high temperature applicability of $RS-SiC_f/SiC$ composites was discussed.

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Application of LabView-Based Parameter Scheduling Programming for a 6-Axis Articulated Robot (LabView기반 6축 수직 다관절 로봇의 파라미터 스케쥴링 프로그래밍에 관한 연구)

  • Kim, Seong-Bhn;Chung, Won-Jee;Kim, Hyo-Gon
    • Journal of the Korean Society of Manufacturing Technology Engineers
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    • v.24 no.3
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    • pp.327-333
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    • 2015
  • As industrial robots come into wider use, their control techniques are being developed along with enhancements in their performance. Specially, the dynamic performance of a 6-axis articulated industrial robot is greatly changed according to the position and orientation of the robot. This means that the PI parameter tuning of the robot and orientation of the robot. This mconsidering the dynamic characteristics of robot mechanism. In this study, $LabView^{(R)}$ programming was applied to automatically conduct parameter scheduling for various robot motions. Using forward and inverse kinematics of RS2, we can divide the working envelope of RS2 into 24 subspaces. We then conduct the gain-tuning according to each subspace. Finally, we program the actual gain scheduling, in which the optimized gain-tuning for each subspace to be passed should be changed for various robot motions using $LabView^{(R)}$.

Real Time Speaker Close-Up System using The Lip Motion Informations (입술 움직임 정보를 이용한 실시간 화자 클로즈업 시스템 구현)

  • 권혁봉;장언동;윤태승;안재형
    • Journal of Korea Multimedia Society
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    • v.4 no.6
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    • pp.510-517
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    • 2001
  • In this paper, we implement a real time speaker close-up system using lip motion information from input images having some people. After detecting a speaker from input moving pictures through one color CCD camera, the other camera closes up the speaker by using lip motion information. The implemented system detects a face and lip area of each person by means of a facial color and a morphological information, and then finds out a speaker by using lip area variation. A PTZ(Pan/Tilt/Zoom) camera is used in order to close up the detected speaker and it is controlled by RS-232C serial port. Consequently, we can exactly detect a speaker in input moving pictures including more than three people.

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Design of Space Search-Optimized Polynomial Neural Networks with the Aid of Ranking Selection and L2-norm Regularization

  • Wang, Dan;Oh, Sung-Kwun;Kim, Eun-Hu
    • Journal of Electrical Engineering and Technology
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    • v.13 no.4
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    • pp.1724-1731
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    • 2018
  • The conventional polynomial neural network (PNN) is a classical flexible neural structure and self-organizing network, however it is not free from the limitation of overfitting problem. In this study, we propose a space search-optimized polynomial neural network (ssPNN) structure to alleviate this problem. Ranking selection is realized by means of ranking selection-based performance index (RS_PI) which is combined with conventional performance index (PI) and coefficients based performance index (CPI) (viz. the sum of squared coefficient). Unlike the conventional PNN, L2-norm regularization method for estimating the polynomial coefficients is also used when designing the ssPNN. Furthermore, space search optimization (SSO) is exploited here to optimize the parameters of ssPNN (viz. the number of input variables, which variables will be selected as input variables, and the type of polynomial). Experimental results show that the proposed ranking selection-based polynomial neural network gives rise to better performance in comparison with the neuron fuzzy models reported in the literatures.

Cooperation Case between Railway Specialized Authorities and Local Government in LRT Project (경전철사업에서의 철도전문기관과 지자체 간의 협력사례)

  • Song, Jae-Il
    • Proceedings of the KSR Conference
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    • 2011.10a
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    • pp.2217-2224
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    • 2011
  • The railway industry has well developed with Korea's economic growth as follows - Industrial railway's electrification in 1973, Seoul subway opening in 1974, Busan subway opening in 1985, High speed railway opening in 2004. But LRT as city transportation means has been faced with many difficulties. Looking at the LRT projects implemented until now, there are some issues like the transportation demand, the quality & safety of RS and facilities, the poor management of inhabitant complaints and the failure to maintain policy coherence. They have caused not only the project schedule to extend but also the project costs to increase, even to obstruct the project progress itself in some cases. These risk factors become the obstacle of LRT project's success, but it is said that more basic problem is the lack of risk management capability of competent authorities in railway business. Under these circumstance, Railway specialized Authorities and Local government have cooperated to identify various risk factors and to prepare the measures in advance, so we try to introduce this cooperation case, which will help other local government as an useful reference.

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Development of 4-axis CNC Controller for Removing Trajectory Error (궤적 오차를 제거한 4축 CNC 제어기의 개발)

  • 이치환
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.406-409
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    • 1997
  • An economical 4-axis CNC controller employing step motors is designed and implemented in this paper. By using the inherent ability of holding position of the motor, the CNC controller uses open-loop control for removing trajectory error and for a simple hardware. Each drive of axis has an 8-bit microprocessor 89C52 and a PC controls the axes and pendant by means of RS232C serial communication. Backlash is also compensated at the axis controller. While compensating the backlash, the feed rate becomes zero in order to minimize trajectory error. The trajectories of 16ms interval are computed on PC and are sent to motor drives. In the drives, the trajectories are linearly interpolated for 2ms interval. The developed CNC does not require add-on specific motion card on PC. From the experimental results, the validity of the CNC controller based on step motor is proved.

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A Simulation Study on the Determination of Storage Location in Automated Warehousing Systems (자동창고 시스템의 저장위치 선정에 관한 시뮬레이션 연구)

  • Sohn, Kwon-Ik;Kim, Chang-Deog;Cho, Yong-Hwan
    • Journal of Industrial Technology
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    • v.14
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    • pp.49-61
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    • 1994
  • This study deals with the automated storage/retrieval systems (AS/RS) where the rack is discrete and the random storage assignment rule is adopted. New storage policies named FNSC (first no-cost zone, second closest-open location) and FNSH (first no-cost zone, second a half side closest-open location) are proposed. Simulation results indicate that performance of FNSH is slightly lower than that of the SCL but it does not need much time to perform. The "stay" strategy of S/R machine is examined as a means of increasing the frequency of dual command.

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Assessment of riparian buffers for reducing pollution according to land-cover pattern using RS and GIS

  • Ha, Sung-Ryong;Lee, Seung-Chul;Ko, Chang-Hwan;Jo, Yun-Won
    • Korean Journal of Remote Sensing
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    • v.22 no.5
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    • pp.445-449
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    • 2006
  • Diffuse pollution has been considering as a major source of the quality deterioration of water resources. The establishment of riparian vegetation strips or buffers along those areas of water bodies is used to reduce the threat of diffuse pollution. Remote sensing offers a means by which critical areas could be identified, so that subsequent action toward the establishment of riparian zones can be taken. On the behalf of KOMPSAT-2 satellite imagery as a high resolution spatial data, Landsat TM satellite data are used to aquire the land cover for the riparian buffers studied. This investigation aims to assess the riparian buffers established on the upper Geum river as a pollution mitigation. Through comparing the delineation of riparian buffer zones developed with the existing zones established by the government, we can find the critical distortion points of the existing riparian buffer zone.

DEVELOPMENT OF CHLOROPHYLL ALGORITHM FOR GEOSTATIONARY OCEAN COLOR IMAGER (GOCI)

  • Min, Jee-Eun;Moon, Jeong-Eon;Shanmugam, Palanisamy;Ryu, Joo-Hyung;Ahn, Yu-Hwan
    • Proceedings of the KSRS Conference
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    • 2007.10a
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    • pp.162-165
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    • 2007
  • Chlorophyll concentration is an important factor for physical oceanography as well as biological oceanography. For these necessity many oceanographic researchers have been investigated it for a long time. But investigation using vessel is very inefficient, on the other hands, ocean color remote sensing is a powerful means to get fine-scale (spatial and temporal scale) measurements of chlorophyll concentration. Geostationary Ocean Color Imager (GOCI), for ocean color sensor, loaded on COMS (Communication, Ocean and Meteorological Satellite), will be launched on late 2008 in Korea. According to the necessity of algorithm for GOCI, we developed chlorophyll algorithm for GOCI in this study. There are two types of chlorophyll algorithms. One is an empirical algorithm using band ratio, and the other one is a fluorescence-based algorithms. To develop GOCI chlorophyll algorithm empirically we used bands centered at 412 nm, 443 nm and 555 nm for the DOM absorption, chlorophyll maximum absorption and for absorption of suspended solid material respectively. For the fluorescence-based algorithm we analyzed in-situ remote sensing reflectance $(R_{rs})$ data using baseline method. Fluorescence Line Height $({\Delta}Flu)$ calculated from $R_{rs}$ at bands centered on 681 nm and 688 nm, and ${\Delta}Flu_{(area)}$ are used for development of algorithm. As a result ${\Delta}Flu_{(area)}$ method leads the best fitting for squared correlation coefficient $(R^2)$.

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Sequential Percentile Estimation for Sequential Steady-State Simulation (순차적 시뮬레이션을 위한 순차적인 Percentile 추정에 관한 연구)

  • Lee, Jong-Suk;Jeong, Hae-Duck
    • The KIPS Transactions:PartD
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    • v.10D no.6
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    • pp.1025-1032
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    • 2003
  • Percentiles are convenient measures of the entire range of values of simulation outputs. However, unlike means and standard deviations, the observations have to be stored since calculation of percentiles requires several passes through the data. Thus, percentile (PE) requires a large amount of computer storage and computation time. The best possible computation time to sort n observations is (O($nlog_{2}n$)), and memory proportional to n is required to store sorted values in order to find a given order statistic. Several approaches for extimating percentiles in RS(regenerative simulation) and non-RS, which can avoid difficulties of PE, have been proposed in [11, 12, 21]. In this paper, we implemented these three approaches known as : leanear PE, batching PE, spectral $P^2$ PE in the context of sequential steady-state simulation. Numerical results of coverage analysis of these PE approachs are present.