• Journal of the Korea Institute of Information and Communication Engineering
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• v.10 no.8
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• pp.1422-1427
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• 2006

In order to estimate the power consumed by an embedded microprocessor during an execution of software, we measure and utilize the current consumed by the processor during the execution of each instruction. In this paper, we measure and analyse the current consumed by the microprocessor adc16s310 during the execution of arithmetic and logic instructions, and propose a power estimation model which estimates the current for all instruction executions precisely by using a small numbers of current measurements. The proposed model can estimate the current with an average 0.34% error by using only 5.84% of total current measurements for arithmetic and logic instructions of the processor.

• Journal of the Institute of Electronics and Information Engineers
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• v.50 no.4
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• pp.191-202
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• 2013

A control structure that makes possible the integration of a kinematic controller and a fuzzy logic (FL) deadzone compensator for mobile robots is presented. A tuning algorithm is given for the fuzzy logic parameters, so that the deadzone compensation scheme becomes adaptive, guaranteeing small tracking errors and bounded parameter estimates. Formal nonlinear stability proofs are given to show that the tracking error is small. The fuzzy logic deadzone compensator is implemented on a mobile robot to show its efficacy.

• Journal of the Korean Society for Precision Engineering
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• v.20 no.11
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• pp.91-99
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• 2003

When the driver suddenly depresses the brake pedal under critical conditions, the desired trajectory of the vehicle can be changed. In this study, the vehicle dynamics and fuzzy logic controller are used to control the vehicle trajectory. The dynamic vehicle model consists of the engine, the rotational wheel, chassis, tires and brakes. The engine model is derived from the engine experimental data. The engine torque makes the wheel rotate and generates the angular velocity and acceleration of the wheel. The dynamic equation of the vehicle model is derived from the top-view vehicle model using Newton's second law. The Pacejka tire model formulated from the experimental data is used. The fuzzy logic controller is developed to compensate for the trajectory error of the vehicle. This fuzzy logic controller individually acts on the front right, front left, rear right and rear left brakes and regulates each brake torque. The fuzzy logic controlling each brake works to compensate for the trajectory error on the split - $\mu$ road conditions follows the desired trajectory.

• Proceedings of the Korea Water Resources Association Conference
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• 2004.05b
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• pp.1381-1384
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• 2004

대상 지점의 수질 예측은 단순한 모델로 설명하는데 쉽지 않을 뿐만 아니라 많은 오차를 내포하고 있다. 그러나 최근, 신경회로망, 퍼지 논리, 전문가 시스템 및 유전자 알고리즘과 같은 인공지능이 대두되면서 복잡한 비선형 과정들을 나타낼 수 있게 되었다. 나아가 진정한 인공 지능을 실현하기 위해서는 신경회로망, 퍼지 논리, 전문가 시스템 및 유전자 알고리즘을 보다 효과적으로 이용하고 통합해야 가능할 것으로 기대된다. 본 연구에서는 유전자 알고리즘(Genetic Algorithm)을 T-S 퍼지시스템(Takagj-Sugeno Fuzzy system)의 삼각형 멤버쉽 함수 형태와 규칙 베이스를 최적화하기 위한 도구로 사용하였으면, 예측은 T-S 퍼지 시스템을 이용하여 실시하였다. 대상지점은 영산강 유역의 나주지점을 선정하여 유량자료 및 수질자료를 이용하여 GA와 T-S 퍼지 시스템의 결합에 의해 수질 예측을 실시할 결과 돌연변이율$(P_m)$ $0.05\~0.1$에서 우수한 결과를 얻을 수 있었다.

• Journal of the Korean Institute of Intelligent Systems
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• v.11 no.8
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• pp.736-741
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• 2001

The restoration optimum image from transformation image demands compound change of image change, calender reform, and multiple solution calculation. This study presents that system actively deal with outside interference, vibration, movement, mechanical feature on the operating or before the operating and avoids complicated mathematical numerical expression and revise based on expert knowledge based which applies Fuzzy Logic which is one of Artificial Intelligent technique.

• Proceedings of the KIEE Conference
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• 2000.07d
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• pp.2995-2997
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• 2000

원자력발전소의 열출력 계산 결과에 가장 큰 영향을 미치는 변수는 주급수 유량이며, 측정방식상의 특성(Venturi Fouling)으로 인해 계산시 과다하게 반영될 소지가 있다 본 연구에서는 이 측정 오차를 최소화하기 위하여 뉴로-퍼지 논리를 이용하여 주급수 유량을 예측한 후 그 결과를 통해 열출력을 재평가하고자 하였다. 즉, 뉴로-퍼지로의 입력 변수(증기발생기 압력 및 수위. 터빈 충동실 압력)들은 모의훈련으로 출력을 상승시키면서 취득한 후 Wavelet Denoising 기법을 이용하여 노이즈를 제거시키고. 뉴로-퍼지 추론 계통의 파라메타들을 최적화시키기 위하여 유전적 알고리듬 및 최소자승법에 의한 Hybrid Learning Rule을 이용하여 학습시켰다. 시뮬레이션을 수행한 결과, 주급수 유량이 양호하게 예측되어, 이 결과를 토대로 열출력을 평가하는데 본 알고리듬의 적용이 성공적임을 입증하였다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 2001.12a
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• pp.161-164
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• 2001

본 연구는 영상 이미지로 가공물을 획득하는 가공기에서 기계적인 충격이나 그 외의 요인으로 인한 가공기의 좌표공간과 CCD(Charge couple Device)카메라 상의 획득영상과의 좌표의 변화가 생기게 된다. 이에 그러한 변화에 둔감하고 유연한 좌표변환 계수를 제어기가 획득하게 함으로써 시스템의 신뢰성을 향상시키는데 그 목적이 있다. 본 논문은 이러한 좌표왜곡에 대한 수정 파라메터를 퍼지 논리에 의해 수정 하도록 하고 이를 어류가공기에 적용하여 그 효과가 나오도록 하는데 초점을 두었다.

• Transactions of the Korean Society of Mechanical Engineers A
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• v.21 no.3
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• pp.361-368
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• 1997

In order to eliminate position errors existing at the steady state in the motion control of robotic manipulators, a new fuzzy control algorithm is propeosed using three variables, position error, velocity error and integral of position errors as input variables of the fuzzy controller. Although the number of input variables of the fuzzy controller is increased from two to three, the number of fuzzy control rules is just increased by two. Three dimensional look-up table is used to reduce the computational time in real-time control, and a technique reducing the amount of necessary memory is introduced. Simulation and experimental studies show that the position errors at the steady state are decreased more than 90% compared to those of existing fuzzy controller when the proposed fuzzy controller is applied to the 2 axis direct drive SCARA robot manipulator.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.13 no.4
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• pp.785-796
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• 2009

In this paper, propose for mobile robot path planning and the reduction in sleep caused by a sleep history suggested a way to compensate for record sensor error. The proposed path plan reduces the robot slip to smooth a potential barrier in the potential field method, and compensates the tachometer error by robot slip using the fuzzy logic system. The efficiency of the proposed method is verified by means of simulations and experiments for path plan and slip revision.

• The Transactions of the Korean Institute of Power Electronics
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• v.6 no.1
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• pp.74-81
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• 2001

The sensorless scheme for Switched Reluctance Motor(SRM) drives must have the robustness and reliability because the noise and error are sensitive. These elements make electrically noisy environments due to the proximity of high current power circuits with small signal electronic circuits when SRM drives. Also, due to the leakage inductances and finite coupling capacitances, these can cause the noise on any low voltage current and voltage measurement circuit. The position estimate error occurs because the current and voltage including the noise are sued as the inputs of sensorless algorithm. In this paper the high robustness and resistance of input noise re described. The fuzzy logic based rotor estimation algorithm and the observer model are used to reduce the tolerance of input data.