• 한국정밀공학회지
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• 제14권4호
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• pp.110-118
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• 1997

Multi-layer neural networks with error back-propagation algorithm have a great potential for identifying nonlinear systems with unknown characteristics. However, because they have a demerit that the speed of convergence is too slow, various methods for improving the training characteristics of backpropagition networks have been proposed. In this paper, a fuzzy division method is proposed to improve the convergence speed, which can find out an effective fuzzy division by the tuning of membership function and independently train each neural network after dividing the network model into several parts. In the simulations, the proposed method showed that the optimal fuzzy partitions could be found from the arbitray initial ones and that the convergence speed was faster than the traditional method without the fuzzy division.

• 전기학회논문지P
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• 제63권4호
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• pp.290-294
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• 2014

PID(Proportional, Integral, Derivative) controller is the most popular process controllers in nuclear power plants. The optimized parameter setting of the process controller contributes to the stable operation and the efficiency of the operating nuclear power plants. PID parameter setting is tuned when new process control systems are installed or current process control systems are changed. When the nuclear plant is shut down, a lot of PID tuning methods such as the Trial and Error method, Ultimate Oscillation method operation, Ziegler-Nichols method, frequency method are used to tune the PID values. But inadequate PID parameter setting can be the cause of the unstable process of the operating nuclear power plant. Therefore the results of PID parameter setting should be simulated, optimized and finally verified. This paper introduces the simulation method of PID tuning to optimize the PID parameter setting and confirms them of the actual PID controller in the operating nuclear power plants. The simulation method provides the accurate process modeling and optimized PID parameter setting of the multi-loop control process in particular.

• 한국광학회지
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• 제13권5호
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• pp.384-389
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• 2002

본 논문은 DWDM 응용을 위한 새로운 개념의 파장안정화 모듈을 제안한다. 일반적으로 내장형/외장형 파장안정화기에서는 LD의 파워를 모니터링 하는 모니터 PD 이외에 파장을 모니터링하는 하나의 에탈론 PD가 사용된다. 50 GHz응용에서 에탈론의 각도를 미세 조정하는 방법이 일반적이다. 그러나, 에탈론의 미세 각도 튜닝으로 인한 파장안정화기 성능에 미치는 영향은 대단히 크며 미세 각도로 정렬하는 공정은 매우 어렵다. 에탈론 PD 배열 블록을 사용함으로써 파장안정화 모듈의 기계적인 에탈론 정렬 오차를 낮출 수 있으며 미세 파장 조정이 가능하다. 파장안정화 모듈의 에탈론 각도 조정에 따른 FSR과 최대 투과 파장의 위치 변화 정도를 계산하였으며 본 실험에 사용된 파장안정화 모듈의 최적화된 초기 에탈론 회전 각도를 보고한다.

• 한국항공우주학회지
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• 제50권8호
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• pp.523-530
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• 2022

다양한 임무에서 활용 가능한 무인기 다개체 시스템은 단일 무인기보다 복잡하므로 효율적인 대형 제어방식이 요구된다. 특히 광역 탐색임무에 있어 통신량 및 연산량 부담이 적으며, 무인기간 자율적인 대형 형성이 가능한 분산 제어형의 유동적인 대형 형성이 필요하다. 본 연구는 스캔 면적의 확장 및 탐색 성능향상을 위해 Swarm 대형과 뱅크 정렬 대형, 대형 전체 운동을 고려한 대형 형성 알고리즘을 제안한다. 본 알고리즘은 상대거리에 대해서 2차 진동 특성을 가지며 parameter tuning을 통해 알고리즘을 설계할 수 있다. 또한 통상적인 무인기 시스템에 적합하도록 제어명령을 변환하였고, 시뮬레이션을 통해 알고리즘의 대형 형성 및 운동에 대한 성능을 입증하였다.

• IEIE Transactions on Smart Processing and Computing
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• 제4권3호
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• pp.149-151
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• 2015

Coupling with a ring of capacitors introduces in-phase coupling current in multi-stage LC oscillators, increasing coupling strength and phase spacing accuracy. Capacitive coupling is effective at high-frequency applications because it increases coupling strength with the operating frequency. However, capacitive loading from the ring lowers operating frequency and reduces the tuning range. Mathematical expressions of phase noise and phase spacing accuracy with capacitive coupling are examined here, and transistor-level simulations confirm the effectiveness of the capacitive coupling.

• 제어로봇시스템학회논문지
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• 제18권5호
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• pp.413-418
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• 2012

This paper presents a multi-robot path planner for environment exploration and monitoring. Robotics systems are being widely used as data measurement tools, especially in dangerous environment. For large scale environment monitoring, multiple robots are required in order to save time. The path planner should not only consider the collision avoidance but efficient coordination of robots for optimal measurements. Nonlinear spring force based planning algorithm is integrated with the spatial gradient following path planner. Perturbation/Correlation based estimation of spatial gradient is applied. An algorithm of tuning the stiffness for robot coordination is presented. The performance of the proposed algorithm is discussed with simulation results.

• KIEE International Transactions on Power Engineering
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• 제5A권2호
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• pp.125-131
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• 2005

Service restoration is one of the most important missions in distribution system operation. This paper proposes a multi-agent system approach to distribution system restoration. Every relay is developed as an agent by adding its own intelligent, self-tuning and communication ability. The relay agent independently calculates and corrects its restoration index through communication with neighboring agents and its own intelligence. The proposed algorithm is applied to a simple network to demonstrate its soundness and effectiveness.

• 대한전자공학회:학술대회논문집
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• 대한전자공학회 2000년도 ITC-CSCC -2
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• pp.969-972
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• 2000

This paper proposes 1.5V-3GHz CMOS PLL with a new delay cell for operating in high frequency and multi chained two stage VCO to improve phase noise performance. The proposed multi-chained architecture is able to reduce a timing jitter or a transition spacing and the newly VCO is operating in high frequency. The PFD circuit designed to prevent fluctuation of charge pump circuit under the locking condition. Simulation results show that the tuning range of proposed VCO is wide at 1.8GHz-3.2Ghz and power dissipation is 0.6mW.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2004년도 하계학술대회 논문집 A
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• pp.403-405
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• 2004

A service restoration is one of the most important missions in distribution system operation. This paper proposes a multi-agent system approach to distribution system restoration. Every relay is developed as an agent by adding its own intelligent, self-tuning and communication ability. Relay agent calculates and corrects its restoration index by itself through communication with neighboring agents and its own intelligence. The proposed algorithm is applied to a simple network to show how to calculate restoration index. Keywords Multi-Agent System, Service Restoration, Distribution Networks

• 한국정보처리학회:학술대회논문집
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• 한국정보처리학회 2021년도 추계학술발표대회
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• pp.446-448
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• 2021

In training a deep learning model, it is crucial to tune various hyperparameters and gain speed and accuracy. While hyperparameters that mathematically induce convergence impact training speed, system parameters that affect host-to-device transfer are also crucial. Therefore, it is important to properly tune and select parameters that influence the data loader as a system parameter in overall time acceleration. We propose an automated framework called Num Worker Tuner (NWT) to address this problem. This method finds the appropriate number of multi-processing subprocesses through the search space and accelerates the learning through the number of subprocesses. Furthermore, this method allows memory efficiency and speed-up by tuning the system-dependent parameter, the number of multi-process spawns.