• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.157.1-157
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• 2001

A new methodology is presented to diagnose faults in equipment plasma. This is accomplished by using neural networks as a pattern recognizer of radio frequency(rf) impedance match data. Using a realtime match monitor system, the match data were collected. The monitor system consisted mainly of a multifunction board and a signal flow diagram coded by Visual Designer. Plasma anomaly was effectively represented by electrical match positions. Twenty sets of fault-symptom patterns were experimentally simulated with experimental variations in process factors, which include rf source power, pressure, Ar and O$_2$ flow rates. As the inputs to neural networks, two means and standard deviations of positions were used ...

• Proceedings of the Korean Society of Machine Tool Engineers Conference
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• 2004.10a
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• pp.480-484
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• 2004

Despite is product that existent higher hrust engine, ship, vehicles, development equipment and Metal Bearing for plant equipment Cast White Metal Lining Bearing that is Bimetal Bearing standing 2 generation is accomplishing master and servant and this is foreseen to be used widely on industry whole in hereafter but Cast White Metal Bearing need minuteness processing, price competitive power is depending on income from superior another thing area than itself manufacture already in advanced nation to lowdown that the technique is generalized widely.

• The Transactions of the Korea Information Processing Society
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• v.4 no.6
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• pp.1401-1417
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• 1997

The major objective of this study is to propose an estimation method for the equipment operating cost in the data center outsourcing situation. To accomplish the objective, the fundamental concepts about the outsourcing pricing is first established by analyzing the previous research in this area. Then an actual case of data center outsourcing is evaluated. Based on the conceptual model and the actual case, a new method is proposed. Validity of the proposed method is verified by the quantitative comparison with the previous method. Reasonability and usefulness of the method were evaluated through the customer survey.

• Journal of Information Processing Systems
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• v.16 no.1
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• pp.30-41
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• 2020

Lines and textures are natural properties of the surface of natural objects, and their images can be sparsely represented in suitable frames such as wavelets, curvelets and wave atoms. Based on characteristics that the curvelets framework is good at expressing the line feature and wavesat is good at representing texture features, we propose a model for the weighted sparsity constraints of the two frames. Furtherly, a multi-step iterative fast algorithm for solving the model is also proposed based on the split Bergman method. By introducing auxiliary variables and the Bergman distance, the original problem is transformed into an iterative solution of two simple sub-problems, which greatly reduces the computational complexity. Experiments using standard images show that the split-based Bergman iterative algorithm in hybrid domain defeats the traditional Wavelets framework or curvelets framework both in terms of timeliness and recovery accuracy, which demonstrates the validity of the model and algorithm in this paper.

• The Transactions of the Korea Information Processing Society
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• v.6 no.5
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• pp.1385-1392
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• 1999

This paper describes the design of the monitoring system for monitoring the current status and indirect controlling of the Wet Station Equipment which is used for cleaning the wafer. Most of the conventional monitoring system depend on the special hardware and software. Basic design goal of monitoring system is provide the convenience for the use and the portability for the system. In order for the system to fulfil its requirements, it was designed using GUI (Graphical User Interface) facility based on the windows NT environment of IBM PC compatible and EtherNet board based on the TCP/IP protocol.

• Proceedings of the Korea Information Processing Society Conference
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• 2019.05a
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• pp.86-88
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• 2019

In a complex geographical environment, communication quality of communication equipment is being seriously challenged. Secondary Users(SUs) must make the best possible use the idle spectrums that Primary Users(PUs) do not use and change spectrum frequently. Using the relevance vector machine(RVM) to establish a signal noise Ratio(SNR) Model for interference information and bit error rate(BER). Through the model and real-time interference information, the minimum channel SNR meeting the BER requirements of communication equipment can be predicted, and we can also calculate the minimum transmitted power. According to the simulation results, this method has better performance for selecting available channel and restraining interference.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.64-66
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• 2023

Low Earth Orbit(LEO) Non-Terrestrial-Network(NTN) 은 위성을 사용하여 통신 서비스를 제공하지 못하는 도시 이외의 산간, 바다, 항공기 또는 외진 지역에 통신 서비스를 제공하는 모델이다. Terrestrial Network(TN) 핸드오버에서 사용되는 Measurement-Based Triggering(MHT)의 경우 User Equipment(UE)에서 측정된 값을 기반으로 Measurement Report를 전달한다. 그러나 NTN 환경에서의 HO triggering은 TN 과는 달리 장거리 통신을 요구하고 위성이 빠른 속도로 이동함에 따라 MHT에 사용되는 지표들을 대체할 방법이 필요하다. 이 논문에서는 측정 유효성을 대체할 수 있는 지표로 UE와 셀 중심 간의 거리 및 고도 각을 활용하여 HO triggering을 예측하는 시스템을 제안한다. 제안한 예측 시스템은 핸드오버 triggering 예측에 대해 우수한 성능을 보였으며 좋은 측정 결과를 얻을 수 있었다.

• Journal of Internet Computing and Services
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• v.21 no.1
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• pp.127-135
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• 2020

As the importance of the use and analysis of big data is emerging, there is a growing interest in natural language processing techniques for unstructured data such as news articles and comments. Particularly, as the collection of big data becomes possible, data mining techniques capable of pre-processing and analyzing data are emerging. In this case study with a telecom company, we propose a methodology how to formalize unstructured data using text mining. The domain is determined as equipment failure and the data is about 2.2 million equipment check ledger data. Data on equipment failures by 800,000 per year is accumulated in the equipment check ledger. The equipment check ledger coexist with both formal and unstructured data. Although formal data can be easily used for analysis, unstructured data is difficult to be used immediately for analysis. However, in unstructured data, there is a high possibility that important information. Because it can be contained that is not written in a formal. Therefore, in this study, we study to develop digital transformation method for unstructured data in equipment check ledger.

• Proceedings of the Korean Society for Agricultural Machinery Conference
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• 1996.06a
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• pp.179-186
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• 1996

• Proceedings of the KSRS Conference
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• 2009.03a
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• pp.246-249
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• 2009