• 한국신재생에너지학회:학술대회논문집
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• 2010.11a
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• pp.182.2-182.2
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• 2010

A various algorism has been studied to extract possibly every energy from a wind turbine in conjunction with the increase of concern about wind power system. In order to verify these control algorism, it is essential to make the most similar conditions to the real wind turbine's environment. Therefore, using separately excited DC motor a wind turbine the most similar to the real turbine is simulated. Tower shadow effect and Wind shear effect are considered as well as inertia emulation. For the control of Back-to-Back Converter Vector current control methods and space vector pulse width modulation are used and for reducing THD of grid current LCL filter is considered. This simulation results verified the energy produced by wind all flows into the utility under the consideration of the characteristics of a wind turbine. The result of this paper is expected to be used as a basic material for analyzing the characteristics of the wind turbine generator.

• Proceedings of the KSRS Conference
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• 2005.10a
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• pp.687-690
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• 2005

Recently there have been a lot of kinds of damages in forest area such as forest fires, forest pest, landslide so that the efficient methods to mange those information and the way to face them are deadly needed. In this study, there were preparing the various vegetation index map and comparing them with the field surveying the tried to figure out which vegetation index algorism is the best proper to present forest fire damaged area. These all were based on Landsat ETM+ satellite image (2000.10.16). The result of this study is to select the high correlation algorism among the various vegetation indexes and then construct the forest fire disaster map, the case of forest fires damaged area.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.7 no.4
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• pp.151-155
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• 1982

Petri ant is employed to analyze the coneurrent system and to make it into a model. But the faculty of Petri net is limited. Therefore in this thesis a Petri net of which restricted edge and capacity are extended is proposed in order to improve the modeling faculty. This paper also proves that the algorism which I have designed, can be transformed into a general Petri net for improving the analytic power of the expanded Petri net. Through explanatory examples i have also shown the usefulness of the algorism.

• The Transactions of the Korean Institute of Electrical Engineers D
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• v.53 no.10
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• pp.714-719
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• 2004

The Controller Area Network (CAN) is being widely used in real-time control applications such as automobiles, aircraft, and automated factories. Unfortunately, CAN, in its current form, is not able to either share out the system bandwidth among the different devices fairly or to grant an upper bound on the transmission times experienced by the nodes connected to the communication medium as it happens, for instance, in the token-based networks. In this paper. we present the message scheduling for CAN, based on the distributed control scheme to integrate actuators and sensors in a humanoid robot. Besides introducing the new algorism, this paper also presents some performance figures obtained using a specially developed software simulator, while the behavior of the new algorism is compared with the traditional CAN systems, in order to see how effective they are.

• Proceedings of the KIEE Conference
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• 1999.07c
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• pp.1111-1113
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• 1999

This paper presents a algorism for evaluating contingency case power wheeling effects using Monte-Carlo simulation The effects of wheeling on generating cost, transmission losses, and system security are considered. For a specific operating condition, the effects are quantified by the sensitivity of specific quantities of interest with respect to wheeling level. This model is utilized within a Monte-Carlo simulation to calculate probability distribution functions of the incremental effects of wheeling on operating cost, transmission losses, and system security. The model and solution methods are applied on a IEEE RTS-96 system power system and the results are presented.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.1382-1383
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• 2008

In this paper, we have studied for analysis of the partial discharge(PD) signal based on fuzzy algorism. Partial discharge signal detector is difficult because of partial discharge signal is very non-linear. Also, it is very difficult work that separate partial discharge signal from noise. We constructed partial discharge accumulation detection system that use Labview for detection of non-linear partial discharge signal. And analyzed Partial discharge signal that is detected by Labview system utilizing Fuzzy model.

• Journal of the Korean Institute of Intelligent Systems
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• v.22 no.5
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• pp.583-589
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• 2012

This Paper contained Managing the Memory With Virtual Server, building Database for Broadcast and statistics, architecture Can Easily Build up Each Analysis algorism and How to Broadcast Analysis outcome for Inteligent Vessel Navigation Analysis System. Also concrete Algorism and formula for each navigation analysis that we studed(Collision, Patten, Traffic separation, Danger Area So on).

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.29 no.1
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• pp.58-61
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• 2016

Degradation in power cables used in distribution lines to the material of the wire, manufacturing method, but also the line of the environment, generates a variety of degradation depending upon the type of load. The local wire deterioration weighted wire breakage accident can occur frequently, causing significant proprietary damage can lead to accidents and precious. In this study, the signal detected by the eddy current aim to develop algorithms capable of determining the signals for the top part and at least part of the signal by using a signal processing technique called K-means algorithm.

• Proceedings of the KIEE Conference
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• 2007.07a
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• pp.1422-1423
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• 2007

This study deals with various neural network algorithms for the on-site partial discharge pattern recognition. For the purpose, the pattern recognition has been carried out on partial discharge data for the typical artificial defect using 9 different neural network models. In order to enhance on-site applicability, artificial defects were installed in the insulation joint box of extra-high voltage xLPE cables and partial discharges were measured by use of the metal foil sensor and a HFCT as a sensor. As the result, it is found out that the accuracy of pattern recognition could be enhanced through the application of the Sigmoid function, the Momentum algorithm and the Genetic algorism on the artificial neural networks. Although Multilayer Perceptron (MLP) algorism showed the best result among 9 neural network algorisms, it is thought that more researches on others would be needed in consideration of on-site application.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2005.10a
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• pp.966-970
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• 2005

A Robot Performance Evaluation System(RPES) Program with auto extraction algorism was developed according to the ISO 9283 robot performance criteria. The developed program looks for order point automatically in data that get laser measurement Instrument and estimate performance of robot using this order point. In addition, this program estimates Each Joint Motion of robot. Robot Performance Evaluation System(RPES) Software was developed with Visual Basic satisfying the need of Hyundai Motor Company. The developed system was implemented on NACHI 8608 AM 11 robot. The resulted output shows the effectiveness of the developed system.