• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.8
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• pp.898-903
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• 2004

In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.

• Journal of the Korean Institute of Electrical and Electronic Material Engineers
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• v.17 no.9
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• pp.1006-1012
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• 2004

In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. Two learning schemes are used to classification; BP(Back propagation algorithm), SOM(self organized map - kohonen network). As a PD source, using treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And a]so these distribution characteristics are applied to classify PD sources by two scheme of the neural networks. In conclusion, recognition efficiency of BP is superior to SOM.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 1997.11a
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• pp.381-384
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• 1997

This paper describes the method of diagnosing the degradation by void defects of insulator inside in operation. Needle-shape void specimens, made from LDPE, were used to generate an electrical tree under ac voltage. The method uses a neural network system with input signal of AE patterns. AE pattern consists of the pulse count and average amplitude according to the phase angle. After the learning process was over, unknown emission patterns were put into the network. It was shown that the network discriminates the void deflects well. The effectiveness of the neural network system for partial discharge recognition was shown.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.11a
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• pp.558-562
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• 2003

In this paper, neural networks is studied to apply as a PD source classification in XLPE power cable specimen. For treeing discharge sources in the specimen, three defected models are made. And these data making use of a computer-aided discharge analyser, statistical and other discharge parameters is calculated to discrimination between different models of discharge sources. And also these parameter is applied to classify PD sources by neural networks. Neural Networks has good recognition rate for three PD sources.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2006.06a
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• pp.208-209
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• 2006

This study presents the thermal stress characteristics of TL porcelain insulators(healthy and ageing) by the accelerating thermal mechanical ageing test with forced temperature gradient. The test temperature gradient is $95^{\circ}C(-35{\sim}60^{\circ}C)$, it was focused to high temperature thermal stress as compared with IEC 60575 standard. There was no a discrimination in the case of healthy aluminous porcelain insulators, dissimilarly in crystoballite insulators according to this test method. It was indicated that the long tenn reliability by thermal stress was conformed reasonably through the conventional accelerating ageing test methods.

• Journal of Plant Biotechnology
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• v.31 no.1
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• pp.1-6
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• 2004

Bang-Poong and related species are an important herbal medicine. However, it is difficult to determine the commercial dry material through anatomical and chemotaxonomical characteristics. Here, we used a PCR-based technique for an accurate discrimination of Bang-Poong and related species. With the RAPD primers, 215 RAPDSs(random amplified polymorphic DNAs) were obtained, and 98% of them showed polymorphic patterns. RAPDs from the four primers were appropriate for the discrimination of S. divaricata $(T_{URCZ{\cdot}})\;S_{CHISKIN}$, those from the six primers for P. japonicum $T_{HUNBERG}$, those from the four primers for P. terebinthaceum $F_{ISHER}$, and those from the six primers for G. littoralis Fr. $S_{CHMIDT}$. The specific bands from the primer 425 were obtained and used to develop SCAR (sequence characterized amplified region) markers, based on the sequence information of the RAPD markers. The SCAR primers generated a 215 bp fragment specific to Peucedanum terebinthaceum $F_{ISHER}$, and a 177 bp and a 300 bp fragment specific to G. littoralis Fr. $S_{CHMIDT}$. As a result, the three SCAR markers were able to discriminate from two Bang-Poong related species.

• Journal of Ginseng Research
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• v.40 no.4
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• pp.395-399
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• 2016

Background: Korean ginseng (Panax ginseng) is one of the most important medicinal plants in the Orient. Among nine cultivars of P. ginseng, Chunpoong commands a much greater market value and has been planted widely in Korea. Chunpoong has superior quality "Chunsam" ($1^{st}$ grade ginseng) when made into red ginseng. Methods: A rapid and reliable method for discriminating the Chunpoong cultivar was developed by exploiting a single nucleotide polymorphism (SNP) in the auxin repressed protein gene of nine Korean ginseng cultivars using specific primers. Results: An SNP was detected between Chunpoong and other cultivars, and modified allele-specific primers were designed from this SNP site to specifically identify the Chunpoong cultivar and P. quinquefolius via multiplex polymerase chain reaction (PCR). Conclusion: These results suggest that great impact to prevent authentication of precise Chunpoong and other cultivars using the auxin repressed protein gene. We therefore present an effective method for the authentication of the Chunpoong cultivar of P. ginseng and P. quinquefolius.

• Proceedings of the Korean Society of Near Infrared Spectroscopy Conference
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• 2001.06a
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• pp.3105-3105
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• 2001

Ingests and fecal contamination on a poultry carcass is a food safety hazard due to potential microbiological contamination. A visible/near-infrared (NIR) spectrometer was used to discriminate among pure ingesta and fecal material, breast skin contaminated with ingesta or fecal material and uncontaminated breast skin. Birds were fed isocaloric diets formulated with either maize, mile, or wheat and soybean meal for protein requirements. Following completion of the feeding period (14 days), the birds were humanely processed and eviscerated to obtain ingests from the crop or proventriculus and feces from the duodenum, ceca, and colon portion of the digestive tract. Pure feces and ingesta, breast skin, and contaminated breast skin were scanned from 400 to 2500 nm and analyzed from 400 to 900 nm. Principal component analysis (PCA) of reflectance spectra was used to discriminate between contaminates and uncontaminated breast skin. Results indicate that visible (400 to 760 nm) and NIR 760-900 nm spectra can detect contaminates. From PCA analysis, key wavelengths were identified for discrimination of uncontaminated skin from contaminates based the evaluation of loadings weights.

• Proceedings of the Korean Institute of Electrical and Electronic Material Engineers Conference
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• 2003.05b
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• pp.8-11
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• 2003

We propose that when combustible burn with contain carbon, introduce fire detector with sensor of private-use detectable light energy as infrared and ultraviolet in energy of electromagnetic-wave type radiate from flame, method for correct discrimination to resemble fire produce false alarm of detector such as sun light, hot object radiation, are welding. This research using infrared sensor is pyroelectric infrared sensor based black body radiation theory. Ultraviolet sensor is uv Tron using gas multiplication effect to current discharge and photoelectric effect of metal. To have high sensibility and to gain proper output voltage, it has high responsive performance. This research introduced UV/IR compound type flame detector and proposed method of false alarm reduced to resemble fire. The result propres the prevention and extinction of fire technique degree, certificated operation of detector.

• Archives of Reconstructive Microsurgery
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• v.10 no.2
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• pp.169-174
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• 2001

Purpose : The problems of late deterioration of sensation and a double sensibility phenomenon are a known deficiency of the original neurovascular island flap. To eliminate this problems, the authors was performed to assess the results of Thumb-pulp loss reconstruction with a heterodigital neurovascular island Flap Using a Nerve Disconnecting-Reconnecting Technique Material and Methods : Between July. 1987 and November. 2000, we have used a disconnecting-reconnecting technique for heterodigital island flaps in which divided nerve of the transferred island flap is sutured to original nerve of the thumb in 9 patients. 9 patients with a mean follow-up period of 3.6 years were examined, while 7 patients were follow-up for 2years or more. Evaluation of results was based on flap quality, donor site quality, classic two-point sensory discrimination(2PD), and location of sensation(double sensibility), donor site cold intolerance, neuroma formation, scar contractures, total active movement(TAM) of the thumb and donor digit and subjective results and objective results. Results : The two-point discrimination was average 6.7 mm. Donor site paresthesia was observed more frequently in a short postoperative period. Sensation was referred to the thumb in all cases and the recovery occurred over a period of a two months. There were no flap complication or failures and the length of the thumb tip was preserved in all cases. Conclusion : This technique was found to provide well-vascularized pulp of the thumb with proper cortical representation in one operative stage.