• 한국정보통신학회논문지
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• 제12권10호
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• pp.1883-1889
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• 2008

유비쿼터스 이동통신의 실현을 위해서는 사용자가 의식하지 않고도 통신 서비스를 제공받는 환경의 구축이 필요하다. 본 논문에서는 이를 위한 이동통신 환경 구축 알고리즘을 제안한다. LBS(Location Based Service) 기술을 이용 이동통신 단말기의 서비스 기능 환경을 자동적으로 인지하고, 이동통신 환경에 따른 다양한 사용자의 요청 및 환경에 대한 지속적인 상호 연동을 통한 서비스 제공으로 사용자의 편의를 극대화 하는데 그 목적이 있다. 알고리즘 구현을 위하여 MSC에 이동통신 환경 구축 파라메터에 따라 이동통신 환경을 결정하는 알고리즘을 제안하였으며 이를 C코드로 구현하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권5호
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• pp.1649-1665
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• 2021

In view of the low accuracy of the traditional FunkSVD algorithm, and in order to improve the computational efficiency of the algorithm, this paper proposes a parallel algorithm of improved FunkSVD based on Spark (SP-FD). Using RMSProp algorithm to improve the traditional FunkSVD algorithm. The improved FunkSVD algorithm can not only solve the problem of decreased accuracy caused by iterative oscillations but also alleviate the impact of data sparseness on the accuracy of the algorithm, thereby achieving the effect of improving the accuracy of the algorithm. And using the Spark big data computing framework to realize the parallelization of the improved algorithm, to use RDD for iterative calculation, and to store calculation data in the iterative process in distributed memory to speed up the iteration. The Cartesian product operation in the improved FunkSVD algorithm is divided into blocks to realize parallel calculation, thereby improving the calculation speed of the algorithm. Experiments on three standard data sets in terms of accuracy, execution time, and speedup show that the SP-FD algorithm not only improves the recommendation accuracy, shortens the calculation interval compared to the traditional FunkSVD and several other algorithms but also shows good parallel performance in a cluster environment with multiple nodes. The analysis of experimental results shows that the SP-FD algorithm improves the accuracy and parallel computing capability of the algorithm, which is better than the traditional FunkSVD algorithm.

• 한국전자통신학회논문지
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• 제3권1호
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• pp.19-25
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• 2008

미래의 유비쿼터스 실현을 위해서는 사용자가 의식하지 않고도 서비스를 제공받는 환경의 구축이 필요하다. 본 논문에서는 이를 위한 이동단말 상태인지 알고리즘을 제안한다. LBS 기술을 이용하여 단말기의 서비스 기능 상태를 자동적으로 인지하고, 단말기 상태에 따른 다양한 사용지의 요청 및 환경에 대한 지속적인 상호 연동을 통한 서비스 제공을 통해서 사용자의 편의를 극대화 하는데 그 목적이 있다. 알고리즘 구현을 위하여 MSC에 단말상태 결정 파라메터에 따라 단말 상태를 결정하는 알고리즘을 제안 하였으며 이를 C 코드로 구현 하였다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권1호
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• pp.53-76
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• 2020

The synchronous phasor measurement algorithm is the core content of the phasor measurement unit. This manuscript proposes a dynamic synchronous phasor measurement algorithm based on compressed sensing theory. First, a dynamic signal model based on the Taylor series was established. The dynamic power signal was preprocessed using a least mean square error adaptive filter to eliminate interference from noise and harmonic components. A Chirplet overcomplete dictionary was then designed to realize a sparse representation. A reduction of the signal dimension was next achieved using a Gaussian observation matrix. Finally, the improved orthogonal matching pursuit algorithm was used to realize the sparse decomposition of the signal to be detected, the amplitude and phase of the original power signal were estimated according to the best matching atomic parameters, and the total vector error index was used for an error evaluation. Chroma 61511 was used for the output of various signals, the simulation results of which show that the proposed algorithm cannot only effectively filter out interference signals, it also achieves a better dynamic response performance and stability compared with a traditional DFT algorithm and the improved DFT synchronous phasor measurement algorithm, and the phasor measurement accuracy of the signal is greatly improved. In practical applications, the hardware costs of the system can be further reduced.

• Nuclear Engineering and Technology
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• 제55권10호
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• pp.3515-3524
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• 2023

A reinforcement learning framework is proposed for the control problem of outlet steam pressure of the once-through steam generator(OTSG) in this paper. The double-layer controller using Proximal Policy Optimization(PPO) algorithm is applied in the control structure of the OTSG. The PPO algorithm can train the neural networks continuously according to the process of interaction with the environment and then the trained controller can realize better control for the OTSG. Meanwhile, reinforcement learning has the characteristic of difficult application in real-world objects, this paper proposes an innovative pretraining method to solve this problem. The difficulty in the application of reinforcement learning lies in training. The optimal strategy of each step is summed up through trial and error, and the training cost is very high. In this paper, the LSTM model is adopted as the training environment for pretraining, which saves training time and improves efficiency. The experimental results show that this method can realize the self-adjustment of control parameters under various working conditions, and the control effect has the advantages of small overshoot, fast stabilization speed, and strong adaptive ability.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2001년도 ICCAS
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• pp.90-90
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• 2001

This paper deals with the development of a practical control system or an algorithm for optimal aerobatic maneuvers and aerial combat maneuvers. First, a nonlinear flight trajectory tracking control system is synthesized and used to realize the optimal aerobatic maneuver. Some simulation results show that the trajectory achieved with the proposed tracking system is close to the optimal one. This means that the tracking system presented is the practical and effective method to realize the optimal aerobatic maneuvers. Second, the algorithm for a fighter in air combat is presented. This is a simple algorithm that uses a proportional navigation, some dynamic rules based on the conservation of specific energy and some experiential rules in air combat. However ...

• 조명전기설비학회논문지
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• 제14권1호
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• pp.59-66
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• 2000

최근 산업공정 시스댐이 복잡해지고 고도의 성능을 요구함에 따라 PLC의 하드혜어와 소프트웨어의 성능이 향상되었다. SFC 그래픽 언어는 순차 논리 알고리즘을 기술뿐만 아니라 인터록 제어 알고리즘과 같은 에러 관리 알고리즘을 기술하는 데에도 적합하다. 본 논문에서는 산업 공정 제어 시스템을 기술하는데 있어서 효과적으로 에러를 관리하기 위해 제한자를 이용 한 에러 관리 방법올 제안하였으며, 제안된 방법으로 필름 코탱기 제어 시스템을 구현한 결과 에러 관리가 용이하고 프로그랩 메모리의 용량을 줄일 수 있었음을 확인하였다.

• 한국통신학회논문지
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• 제13권5호
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• pp.411-421
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• 1988

본 논문에서는 Tabular法을 이용한 CCD(charge-coupled device) 4値論理回路를 설계하는 방법을 제시하였다. 첫 번째 4値 논리함수를 수산(手算) 및 컴퓨터 프로그래밍에 의해서 분해하고 이것을 기초로 하여 Tabular法에 의한 CCD 4値회로를 실현시키는 알고리즘을 유도하였다. 이 알고리즘에 의해서 2變數 4値 논리함수를 분해(分解)해서 4개의 기본게이트에 의해서 CCD회로를 실현시켰다. 본 논문의 방법에 의하면 기존방법에 비해 동일한 함수를 실현시키는데 소자수(素子數)와 코스트가 상당히 감소됨이 밝혀졌다.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.347-347
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• 2000

Nowadays, the Laser image is used to realize multi-media show for events, an advertising media and 3D simulation, realization of video image and so on. It is a hot issue to realize the laser image like computer graphic image. The image used in laser projector is vector graphic image that is described by linking point to point. A computer makes this continuous vector graphic images so that the image shows as an animation. A control signal converted by a computer makes the laser projector draw image. Two motors and universal joint are used to realize 2D laser image in this study. Developing a controller applied Look-ahead algorithm and software to interface with personal computer, This study is the chief aim of improving difference of moving velocity that is appeared from edge of vector graphic image and disparity of graphic density.

• 대한전자공학회논문지
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• 제26권11호
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• pp.1857-1866
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• 1989

In this paper, an algorithm to update a codebook using a neural network in consecutive images, is proposed. With the Kohonen's self-organizing feature map, we adopt the iterative technique to update a centroid of each cluster instead of the unsupervised learning technique. Because the performance of this neural model is comparable to that of the LBG algorithm, it is possible to update the codebooks of consecutive frames sequentially in TV and to realize the hardwadre on the real-time implementation basis.