• 제목/요약/키워드: coupled error

검색결과 311건 처리시간 0.024초

A scheduling problem of manufacturing two types of components at a two-machine pre-assembly stage

  • Sung, Chang-Sup;Yoon, Sang-Hum
    • 한국경영과학회:학술대회논문집
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    • 한국경영과학회 1996년도 추계학술대회발표논문집; 고려대학교, 서울; 26 Oct. 1996
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    • pp.307-309
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    • 1996
  • This paper analyses a deterministic scheduling problem concerned with manufacturing two types of components at a pre-assembly stage which consists of two independent feeding machines each producing its own type of component. Each type represents a unique component which may have variations in its size or quality. Therefore, the completion time of each component depends on both its type and quality (size) variations. Such manufactured components are subsequently assembled into various component dependent products. The problem has the objective measure of minimizing the total weighted completion time of a finite number of jobs(products) where the completion time of each job is measured by the latest completion time of its two components at the pre-assembly stage. The problem is shown to be NP-complete in the strong sense. A WSPT rule coupled with a machine-aggregation idea is developed for good heuristics which show the error bound of 2.

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On-line Screening HPLC-ABTS를 이용한 강황으로부터 Curcuminoids의 생물활성 분석 (Bioactivity Analysis of Curcuminoids from Turmeric using On-line Screening HPLC-ABTS)

  • 최선도
    • Journal of Applied Biological Chemistry
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    • 제56권3호
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    • pp.137-139
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    • 2013
  • 강황(Curcuma longa)으로부터 bisdemethoxycurcumin (BDMC), demethoxycurcumin (DMC) 및 curcumin의 생물 활성을 offline-ABTS 측정법과 on-line screening high-performance liquid chromatography (HPLC)-ABTS 측정법을 적용한 빠른 스크리닝을 통해 정량 및 성분 분리를 하였다. 이때, off-line-ABTS와 on-line screening HPLC-ABTS 비교는 미미한 오차를 보여주었다.

μFIA 바이오 센서를 이용한 포도당 농도 측정 (Measurement of Glucose Concentration Using a μFIA Biosensor)

  • 송대빈
    • Journal of Biosystems Engineering
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    • 제28권5호
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    • pp.465-468
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    • 2003
  • A microdialysis coupled flow injection amperometric biosensor was calibrated to measure the concentration of glucose using 7 standard samples from 10ml to 70ml of glucose solution. The output of the sensor increased linearly with an increase in the glucose concentration with an $R^2$ correlation of 0.99. The amperometric biosensor was then applied to measure the. glucose concentration of 2 commercial samples(Orange and Pineapple juice) and the results compared with HPLC. Around 12% error was observed in glucose concentration measurements of the samples analyzed. The sensor has potential in rapid measurement once the calibration is done. Potential for on-line sensing is also discussed.

연소배기 가스의 계측을 위한 다이오드 레이저 센서 (Diode-Laser Absorption Sensors for measurement of combustion Gas)

  • 신명철;김세원;김동혁
    • 한국연소학회지
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    • 제11권3호
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    • pp.26-35
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    • 2006
  • This work forcus on the development of gas sensor that measure the concentrations of exhaust gas using diode laser, Each diode laser for exhaust gas measurement is set to work at near-IR using both DA and WMS methods. Also use of fiber-coupled optical elements makes such a sensor rugged and easy to align. The results showed that gas concentrations of $O_2$, CO, $CO_2$, NO are accurately measured within ${\pm}2%$ error. The application of WMS method increased the beam intensity 2-3 times higher than DA method. It were experimentally compared WMS (Wavelength Modulation Spectroscopy) with DA (Direct Absorption) for the accuracy.

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신경 회로망을 이용한 유압 굴삭기의 일정각 굴삭 제어 (A constant angle excavation control of excavator's attachment using neural network)

  • 서삼준;서호준;김동식
    • 제어로봇시스템학회:학술대회논문집
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    • 제어로봇시스템학회 1996년도 한국자동제어학술회의논문집(국내학술편); 포항공과대학교, 포항; 24-26 Oct. 1996
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    • pp.151-155
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    • 1996
  • To automate an excavator the control issues resulting from environmental uncertainties must be solved. In particular the interactions between the excavation tool and the excavation environment are dynamic, unstructured and complex. In addition, operating modes of an excavator depend on working conditions, which makes it difficult to derive the exact mathematical model of excavator. Even after the exact mathematical model is established, it is difficult to design of a controller because the system equations are highly nonlinear and the state variable are coupled. The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbance and performance improvement with the on-line learning in the position control of excavator attachment.

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SLAM 기반 GPS/INS/영상센서를 결합한 헬리콥터 항법시스템의 구성 (SLAM Aided GPS/INS/Vision Navigation System for Helicopter)

  • 김재형;유준;곽휘권
    • 제어로봇시스템학회논문지
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    • 제14권8호
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    • pp.745-751
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    • 2008
  • This paper presents a framework for GPS/INS/Vision based navigation system of helicopters. GPS/INS coupled algorithm has weak points such as GPS blockage and jamming, while the helicopter is a speedy and high dynamical vehicle amenable to lose the GPS signal. In case of the vision sensor, it is not affected by signal jamming and also navigation error is not accumulated. So, we have implemented an GPS/INS/Vision aided navigation system providing the robust localization suitable for helicopters operating in various environments. The core algorithm is the vision based simultaneous localization and mapping (SLAM) technique. For the verification of the SLAM algorithm, we performed flight tests. From the tests, we confirm the developed system is robust enough under the GPS blockage. The system design, software algorithm, and flight test results are described.

Numerical Study of Drag and Noise Reduction of Electric Cable

  • Yoon, Tae-seok;Lee, Soogab
    • The Journal of the Acoustical Society of Korea
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    • 제20권4E호
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    • pp.17-23
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    • 2001
  • To develop the code of predicting flow-field and aeroacoustic noise by an electrical cable, a combined CFD-Acoustic analogy approach is selected. The two dimensional, unsteady and incompressible Reynolds-averaged Navier-Stokes solver with κ-ω and κ-ω SST turbulence modeling is used to calculate the near flow-field around an electric cable. Near-field results are then coupled with two-dimensional Curle's integral formulation based upon Lighthill's acoustic analogy with the assumption of acoustic compactness. To validate this code, numerical results are compared with experimental data for a circular cylinder. The simulation shows an overprediction on acoustic amplitudes, but overally speaking, the spectrum pattern of sound pressure agrees well with experiment within an acceptable amount of error. In addition, a few cross-sections of the cable were selected and tested with each other in terms of drag and radiated noise

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모드정합법을 이용한 20GHz 저손실 이중모드 채널여파기 (A 20 GHz low-loss dual - mode channel filter using mode matching method)

  • 정근욱;이재현;유경완;강성춘
    • 전자공학회논문지D
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    • 제34D권10호
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    • pp.53-59
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    • 1997
  • In this paper, we present a 20 GHz low-loss dual-mode channel filter designed by using mode matching method. The performance of dual-mode channel filter mainly depends on iris characteristics. Therefore the exact design of iris is the key point to get good frequncy response of the filter. MOde matching technique is widely used ot design several kinds of waveguide filters because it is simple in theory and can easily calculate the scattering matrices at the discontinuities with simple structure like iris coupled filters. Additionally the effect for finite thickness of the iris in the dual-mode cavity iflter is analyzed by te full-wave method, providing the exact filter implementation without trial and error.

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신경 회로망을 이용한 강압형 DC-DC 쵸퍼의 출력 전압 제어에 관한 연구 (A Study on the Output Voltage Control for Step-down Type DC-DC Chopper Using Neural Networks)

  • 배상준;이달해;김동희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1993년도 정기총회 및 추계학술대회 논문집 학회본부
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    • pp.114-116
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    • 1993
  • A novel Neural networks controller for Buck type DC-DC converter is presented and compared with the operation of sliding node coupled several control strategies for the converter. The connection weights of neural networks are trained by error back propagation algorithm. The behavior of the control system that arises fred the use of those methods is analyzed from the viewpoint of dynamic and steady state errors and simulation results are presented.

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분리형 GPS/DR 통합 칼만 필터 구현 (An Implementation of a Decoupled GPS/DR Integration Kalman Filter)

  • 서흥석;성태경;이상정
    • 제어로봇시스템학회논문지
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    • 제6권10호
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    • pp.928-935
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    • 2000
  • In order to improve the performance of a GPS/DR integration system, the error sources of DR sensors should be modeled accurately, This results in the increases in the dimension of the integration filter and, consequently, computational load becomes large. To reduce the computational load, suggested in this paper is a decoupled GPS/DR integration scheme that consists of two cascaded Kalman filters. The GPS velocity output is used in the first filter to calibrate the DR sensor and to fix the velocity as well. The velocity from the first filter is fed to the second filter where the position is corrected using the GPS position output. Experimental results show that the proposed integration scheme has positioning performance comparable to the conventional coupled one, while its computation is reduced to about 2/3.

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