• Proceedings of the KAIS Fall Conference
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• 2010.11a
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• pp.80-84
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• 2010

본 논문에서는 기존의 배전계통에 연계된 태양광전원에서 발생하는 양방향 보호협조에 대한 문제점을 분석하였다. 모의배전계통과 통합 보호기기장치, 모의 태양광전원장치로 구성된 태양광전원용 보호협조시험장치를 제작하여, 단락사고시험(OCR)과 지락사고시험(OCGR)에 대한 보호기기의 특성시험을 수행하였다. 태양광전원 연계에 의한 사고전류 공급으로 보호기기의 정정치 변동과 보호기기의 오동작, 부동작에 대한 동작특성을 분석하여, 기존의 배전계통에 연계된 태양광전원의 문제점을 분석하고, 그 대안을 제시하였다.

• Proceedings of the KIEE Conference
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• 2009.07a
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• pp.2193_2194
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• 2009

A digital over current relay(OCR) is realized by using TMS320C32 microprocessor. Fourier Transform is used to obtain the phasor of a current signal and a 2nd low pass filter is adopted to prevent aliasing error. H/W test shows almost same results with those of the S/W test. It could be possible that confirm simularity between H/W and S/W test in this paper.

• Proceedings of the KIEE Conference
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• 2008.07a
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• pp.195-196
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• 2008

Output of wind generators are changed by windy level. The change of the output also affects the amplitude of fault current. And this fault current causes OCR's mal-operation. To solve the problem, this paper adopts that Over Current Relay adapted for Decentralized generator algorithm.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.299-301
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• 2003

In this paper, a protection system using Multi-Agent concept for power distribution network is proposed. Multi agent system consist of Feeder agent, OCR(Over Current Relay) agent, Recloser agent and Switch agent. An agent calculates and corrects its parameter by itself through communication with neighboring agents and its own intelligence algorithm. Simulations in a simple distribution network show the effectiveness of the suggested protection system. Multi-Agent System, protection of distribution network, Communication.

• Proceedings of the KAIS Fall Conference
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• 2011.05a
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• pp.17-20
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• 2011

배전계통의 고장발생 시 광범위한 수용가에 정전파급을 일으킬 수 있으므로 신뢰성이 있는 보호협조의 설계가 매우 중요하다. 따라서 본 논문에서는 국내 22.9kV-y 배전계통에 연계된 보호기기들의 정정치와 보호협조 이상 유무를 확인할 수 있는 보호협조 평가알고리즘을 제시하고, 이 알고리즘을 이용하여 양방향 보호협조 평가시스템을 제작하였다. 본 연구에서 제작한 보호협조 평가시스템을 이용하여 배전용변전소의 보호기기(OCR, OCGR)와 배전선로에 설치되어 있는 보호기기(리클로즈)에 대하여 시뮬레이션을 수행하여, 제안한 알고리즘이 배전선로의 보호협조 및 안정화에 크게 기여할 수 있음을 확인하였다.

• Proceedings of the KIEE Conference
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• 2003.07a
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• pp.268-270
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• 2003

This paper proposes a software design and hardware implementation of Intelligent Electronic Device(IED) for power transformer. The relaying algorithm is based on DFT. The protection functions implemented include RDR with a second harmonic restraint for magnetizing inrush, OCR, OCGR, OVR, and UVR etc. The main board of IED is based on the TMS32C32 Processor. The IED was tested with relaying signals obtained for EMTP simulation package.

• Journal of Information Processing Systems
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• v.13 no.1
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• pp.174-183
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• 2017

In this paper, we propose a novel feature for recognizing handwritten Odia numerals. By using polygonal approximation, each numeral is segmented into segments of equal pixel counts where the centroid of the character is kept as the origin. Three primitive contour features namely, distance (l), angle (${\theta}$), and arc-tochord ratio (r), are extracted from these segments. These features are used in a neural classifier so that the numerals are recognized. Other existing features are also considered for being recognized in the neural classifier, in order to perform a comparative analysis. We carried out a simulation on a large data set and conducted a comparative analysis with other features with respect to recognition accuracy and time requirements. Furthermore, we also applied the feature to the numeral recognition of two other languages-Bangla and English. In general, we observed that our proposed contour features outperform other schemes.

• Ocean and Polar Research
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• v.34 no.1
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• pp.93-99
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• 2012

The effect of water temperature and body weight on oxygen consumption by the fasted olive flounder Paralichthys olivaceus was investigated in order to assess the metabolic rate of this species under different conditions. The oxygen consumption rate (OCR) was measured at three different water temperatures (15, 20 and $25^{\circ}C$) and two different body weights [$9.1{\pm}1.2$ g (mean${\pm}$SD) for the juvenile group and $266.4{\pm}29.3$ g for the immature group] at an interval of 5 minutes for 24 hours using a closed flow-through respirometer. For each treatment condition, three replicates were set up and 135 fish in the juvenile group and 18 fish in the immature group were used. The OCRs exhibited a linear increase described by OCR=-82.06+28.30T ($r^2$=0.96, p<0.001) in the juvenile group and OCR=-52.52+14.73T ($r^2$=0.97, p<0.001) in the immature group. The OCRs decreased with increasing body weights at a given water temperature (p<0.001). The metabolic rate was related to the body weight of the fish as a power function with a weight exponent of between 0.77 and 0.82. $Q_{10}$ values ranged 1.67~2.28 when the temperature was between 15 and $20^{\circ}C$, 1.57~1.93 when the temperature was between 20 and $250^{\circ}C$, and 1.79~1.89 when the temperature was between 15 and $250^{\circ}C$. The energy expenditure by respiration increased with increasing water temperature and decreasing body weight (p<0.001). The mean energy loss rates at 15, 20 and $25^{\circ}C$ were 115.9, 149.8 and 208.2 kJ $kg^{-1}d^{-1}$ in the juvenile groups and 53.8, 81.2 and 101.9 kJ $kg^{-1}d^{-1}$ in the immature groups.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.19 no.1
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• pp.161-170
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• 2019

Multi-product mass production small and medium enterprise factories have a wide variety of products and a large number of products, wasting manpower and expenses for inventory management. In addition, there is no way to check the status of inventory in real time, and it is suffering economic damage due to excess inventory and shortage of stock. There are many ways to build a real-time data collection environment, but most of them are difficult to afford for small and medium-sized companies. Therefore, smart factories of small and medium enterprises are faced with difficult reality and it is hard to find appropriate countermeasures. In this paper, we implemented the contents of extension of existing inventory management method through character extraction on label with barcode and QR code, which are widely adopted as current product management technology, and evaluated the effect. Technically, through preprocessing using OpenCV for automatic recognition and classification of stock labels and barcodes, which is a method for managing input and output of existing products through computer image processing, and OCR (Optical Character Recognition) function of Google vision API. And it is designed to recognize the barcode through Zbar. We propose a method to manage inventory by real-time image recognition through Raspberry Pi without using expensive equipment.

• Annual Conference on Human and Language Technology
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• 1992.10a
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• pp.545-553
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• 1992

문자인식에 있어서 인식율을 높이기 위한 후처리의 한 방법으로서, 문법 정보를 이용하는 후처리를 제안하고자 한다. 즉, 문자 인식 시스템에 의해 인식된 국어문에 대해서 오인식된 문자를 포함하는 어절을 검출하고, 오인식된 문자의 적절한 후보를 선정하여 그에 따라 자동수정을 행하는 것을 전채 후처리 과정으로 전제한다. 본 논문에서는 형태소 분석을 통해 오인식된 부분을 검출하는 과정을 보임으로써 문자인식에 있어서 문법 정보를 이용하는 후처리의 가능성과 그 유효성을 보이는 것을 목적으로 한다.