• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.10a
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• pp.351-353
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• 2021

In recent years, while the demand for electricity is rapidly increasing, fire accidents due to negligence in management of switchboards. In particular, switchboards for industrial and electrical resource control can cause serious problems. Thus, for the safety management of power switchboard, a secondary response is conducted to control firing when a specific condition value is satisfied, but in this case, it is highly likely that a considerable amount of time has elapsed after firing. In this paper, we propose a method to acquire big data for the development of a switchboard temperature and power control system that can actively respond to the current situation by monitoring and learning the temperature of the switchboard's busbar connection in real time. Specifically, a method for periodically acquiring and managing data such as temperature and power from various scattered sensors is proposed.

• Journal of the Korea Society for Simulation
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• v.18 no.3
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• pp.103-112
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• 2009

In a nuclear power plant (NPP), periodic sensor calibrations are required to assure sensors are operating correctly. However, only a few faulty sensors are found to be calibrated. For the safe operation of an NPP and the reduction of unnecessary calibration, on-line calibration monitoring is needed. In this paper, principal component-based Auto-Associative support vector regression (PCSVR) was proposed for the sensor signal validation of the NPP. It utilizes the attractive merits of principal component analysis (PCA) for extracting predominant feature vectors and AASVR because it easily represents complicated processes that are difficult to model with analytical and mechanistic models. With the use of real plant startup data from the Kori Nuclear Power Plant Unit 3, SVR hyperparameters were optimized by the response surface methodology (RSM). Moreover the statistical techniques are integrated with PCSVR for the failure detection. The residuals between the estimated signals and the measured signals are tested by the Shewhart Control Chart, Exponentially Weighted Moving Average (EWMA), Cumulative Sum (CUSUM) and generalized likelihood ratio test (GLRT) to detect whether the sensors are failed or not. This study shows the GLRT can be a candidate for the detection of sensor drift.

• The KIPS Transactions:PartC
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• v.19C no.3
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• pp.209-214
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• 2012

Time synchronization is important role in a network, especially in Wireless Sensor Network (WSN) which is required for time-critical applications such as surveillance, tracking, data fusion and scheduling. Time synchronization in WSN should meet the other different requirements than the one in other networks because WSN has critical resource constraints, especially power consumption. This paper presents a new time synchronization scheme for WSN, which is energy efficient by reducing communication overhead. Simulation test shows this new scheme has better energy efficiency and performance of accuracy than existing schemes proposed previously.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.18 no.4
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• pp.124-130
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• 2004

In this paper, we developed DSP(Digital Signal Processor)-based control system to automatically open and close passive filter, which is used to reduce harmonics, according to operating condition of loads. Passive filter control system automatically open and close each branch of filter according to working conditions of loads by sending signals to open and close installation of passive filter after measuring and monitoring voltage, current, harmonics, reactive power, power factor and so on. We verified it's performance by connecting control system with passive filter in the power line using the 100HP D.C motor drive, opening and closing passive filter according to operation condition of motor, and measuring harmonics and reactive power, etc.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.1
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• pp.200-206
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• 2016

It is necessary to develop a real-time monitoring system for electric facilities, operating and managing system for the accident prevention of electrical demand facilities anytime, anywhere. In this paper, we propose the implementation of distributing board monitoring system based on Internet of Things(IoT). The proposed system is installed in existing distributing board that it can transmit status information of distributing board and control information through the cloud server and the wireless local area network. The distributing board monitoring system can monitor and control the condition of distributing board by system administrator. The results show that the margin of error was ${\pm}5%$ in performance evaluation.

• Journal of the Society of Naval Architects of Korea
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• v.47 no.1
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• pp.93-98
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• 2010

In this paper, PLC which can be installed easily and is stable to transfer datum, is tested for approving its application in a real ship. Internet access service, CCTV monitoring, light control and huge sensor communications are needed for enhancing the convenience and safety of passengers and crew in ships. In order to apply PLC in ships, we surveyed some noises interrupting PLC in ships and investigated the PLC characteristics. The Hannara, a training ship of Korea Maritime University, was used for the test. We measured and analyzed blocking noises using by NI's SCXI-1001. When noises of specific frequency band occurred near the PLC frequency band, PLC transfer capacity was low for mass datum. We developed and verified some methods to apply PLC in a ship under lots of noises.

• Journal of the Institute of Electronics Engineers of Korea TC
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• v.43 no.1 s.343
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• pp.19-24
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• 2006

Wireless sensor networks(WSN) technology has various applications such as surveillance and information gathering in the uncontrollable area of human. One of major issues in WSN is the research for reducing the energy consumption and reliability of data. A system with forward error correction(FEC) can provide an objective reliability while using less transmission power than a system without FEC. In this paper, we propose to use LDPC codes of various code rate(0.53, 0.81, 0.91) for FEC for WSN. Also, we considered node-to-node interference in addition to AWGN channel. The proposed system has not only high reliable data transmission at low SNR, but also reduced transmission power usage.

• Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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• v.20 no.5
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• pp.64-71
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• 2006

We developed a fiber-optic temperature sensor system, with 10 fiber Bragg gratings, for abnormal high-temperature monitoring in power systems. We used Gaussian line-fitting algorithm to compensate the spectrum distortion in the wavelength-scanned Farby-Perot filter demodulation scheme. Compared with highest-peak-detection method, the proposed algorithm substantially reduced measurement errors. The overall measurement error was less than 1[%] compared with the reference thermocouple and the linearity error was 0.37[%].

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.464-466
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• 2007

H-Bridge Multi-Level (HBML) 고압인버터는 저압의 반도체 소자를 사용하는 단상 H-Bridge 인버터로 구성 된 셀을 직렬로 연결함으로써 정현파에 가까운 고전압을 얻을 수 있고, 입 출력 고조파가 낮아서 필터가 필요 없는 토폴로지로 산업분야에서 사용이 확대되고 있다. 본 논문은 HBML 고압인버터의 마스터 제어기와 셀 제어기의 통신 하드웨어를 병렬로 구성하여서 하나의 전압지령 값과 Angle 값으로 셀에서 PWM을 구현 할 수 있는 분산제어 방식을 제안한다. 이 방식에서 셀 제어기가 전압, 전류, 주파수, 보호기능, 통신감시 정보 등 셀 제어의 대부분을 담당함으로써 마스터 제어기의 부담을 줄이고, 따라서 신호선의 개수를 줄일 수 있다. 또 통신하드웨어의 종단에 마스터 제어기를 연결만 하면 마스터제어기의 2중화가 가능하므로 사용하고 있던 마스터 제어기의 고장 발생 시에 대체하여 사용할 수 있으므로 시스템의 안정성 향상에 도움을 준다. 선간전압 33레벨로 구성된 HBML 고압인버터 시험을 통해 제안된 방식의 타당성과 신뢰성을 검증한다.

• Proceedings of the KIPE Conference
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• 2007.07a
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• pp.449-451
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• 2007

현재 몇 가지의 제품으로 시장에 출시되어 가정에 조금씩 보급되기 시작한 홈 서비스 로봇은 각각의 제품이 청소, 도난방지 감시, 애완용 등의 특정한 기능을 가지고 가정에서 쉽게 사용 할 수 있도록 날로 발전을 더해가고 있다. 그러나 이러한 현재의 로봇들은 대부분 탑재된 기능과 인공지능이 결합하여 스스로 동작하는 자동화 로봇의 특징만을 지니고 있을 뿐이다. 홈 서비스 로봇의 정의에 충실한 사용자와의 커뮤니케이션의 기능은 거의 전무 하며, UI를 이용한 사용자 인터페이스의 환경에 의존할 뿐이다. 따라서 본 논문에서는 현재 홈서비스의 로봇의 한계성을 극복하고, 저렴하며 활용성이 높은 새로운 홈서비스 로봇의 모델을 제시한다.