• The Journal of the Korea Contents Association
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• v.19 no.4
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• pp.111-119
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• 2019

The purpose of this study was to explore the determinants of minor and double major satisfaction of university students. To achieve this, F.G.I. was performed with the university teaching assistants to create a questionnaire. The survey was performed to the subject of 239 university students completing minor and double major. A statistical program (SPSS) was used for data analysis and factor analysis, reliability analysis, and multiple regression analysis were conducted. First, it drew three principal factors including need-achievement, class discrimination, and course registration discrimination by conducting factor analysis regarding survey questions on minor and double major. Next, the multiple regression analysis identifying the effects of the three principal factors was conducted. The results indicated three principal factors to be statistically significant. The degree of influence over satisfaction marked the highest in the order of need-achievement, class discrimination, and course registration discrimination. In the conclusion, the positive function and possibilities of minor and double major are proposed.

• Korean Journal of Social Welfare
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• v.65 no.2
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• pp.79-102
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• 2013

This study aimed at empirically analysing the double discrimination on the elderly with disabilities due to both age and disabilities in the labor market. To achieve this research goal, real employment probabilities and hourly wages of the elderly disabled(below "ED") were compared with those of the young disabled(below "YD") and those of the elderly non-disabled(below "END") to calculate empirical differentials between ED's and YD's, and ED's and END's. The differential decompositions between groups were applied by the Oaxaca(1973). The study results were as followings. First, the real gaps of the employment probabilities between ED and YD only appeared at the regular jobs and the gaps due to the characteristics between ED and YD were bigger than those due to the age discrimination. Second, on the contrary, the gaps of the hourly wages were caused by age discrimination more than characteristics between YD and ED. Third, it was not true that the elderly with disabilities take double discriminations in the labor market. It is therefore required to give the additional incentives to ED workers with government subsidies of employment promotion for the disabled provided. Second, it is proposed that the integrations the employment policies for the disabled with those for the aged because the disability as dependent valuable didn't have statistically significant effects on the employment probabilities and the hourly wage levels.

• Journal of the Korean Regional Science Association
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• v.32 no.2
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• pp.45-59
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• 2016

The purpose of this study is to analyze the static and dynamic change of wage differentials of women with disabilities in the Seoul local labor market. This study attempts to explain the double discrimination mechanism for disabled women and empirically gender discrimination and disability discrimination for them by using Oaxaca-Blinder decomposition analysis. In addition, using Juhn-Murphy-Pierce decomposition analysis. we analyze the wage differentials caused by the changed characteristics of disabled women and structures of discrimination at the Seoul local labor market. Data from the Panel Survey of Employment for the Disabled and Korean Labor and Income Panel Study for two years (2008, 2012) are used. According to the result, wage differentials of disabled women caused by disability discrimination is approximately 55% of total wage discrimination, whereas 45% is caused by gender discrimination during the period. Both observed and unobserved components move in the same direction to narrow wage differentials due to the disability discrimination and gender discrimination. Also the endowments in the Seoul local labor market about the changes of observed and unobserved components contribute more to narrow gender wage differentials, while these endowments widen disability wage differentials.

• The Transactions of the Korean Institute of Electrical Engineers A
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• v.49 no.8
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• pp.405-411
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• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper propolsed the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• Journal of the Korean Institute of Telematics and Electronics S
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• v.34S no.10
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• pp.141-150
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• 1997

In this paepr, we propose an intelligent double talk detector that can enhance the performance of the acoustic echo cancellation system. The conventional double talk detection methods often misunderstand the echo path changes as double talk. Although there exist several detection methods that can distinguish the echo path changes from the double-talks, they show poor tracking performance because of the excessive decision delay for the discrimination and can only be used after the adaptive digital filter converges. A new and more effective ditetion algorithm has been proposed, where the detection mechanism is performed by observing the change rate of the reflection coefficients of the two lattice predictors that re placed on the near-end and far-end terminals. The excellence of the proposed method is verified by extensive computer simulations using real speech signals.

• The Plant Pathology Journal
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• v.36 no.5
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• pp.509-514
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• 2020

Satsuma dwarf virus (SDV) seriously damages citrus production by reducing the quality and yield of fruit. To avoid contamination with SDV, mother trees are checked to be SDV-free in advance of nursery tree distribution. In this study, we compared an immunochromatographic assay (ICA) kit with double-antibody sandwich enzyme-linked immunosorbent assay (DAS-ELISA) for large-scale diagnosis of SDV in orchardgrown trees in Shizuoka Prefecture, Japan. The two methods gave conflicting results for 11 of 1,705 samples, all of which were negative by DAS-ELISA but positive by ICA. The samples scored as positive by either DAS-ELISA or ICA were analyzed by reverse transcription polymerase chain reaction and all were confirmed to be positive. These results validate the use of ICA as a screening method for large-scale diagnosis. Strain discrimination revealed that 16 of 22 isolates belonged to SDV, while citrus mosaic virus (CiMV) infection only and co-infection (SDV and CiMV) were in a minority.

• Proceedings of the KIEE Conference
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• 2000.07a
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• pp.366-368
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• 2000

When faults occur in transmission lines, the classification of faults is very important. If the fault is HIF(High Impedance Fault), it cannot be detected or removed by conventional overcurrent relays (OCRs), and results in fire hazards and causes damages in electrical equipment or personal threat. The fast discrimination of fault needs to effective protection and treatment and is important problem for power system protection. This paper proposes the fault detection and discrimination algorithm for LIFs(Low Impedance Faults) and HIFs(High Impedance Faults). This algorithm uses artificial neural networks and variation of 3-phase maximum currents per period while faults. A double lines-to-ground and line-to-line faults can be detected using Neural Network. Also, the other faults can be detected using the value of variation of maximum current. Test results show that the proposed algorithms discriminate LIFs and HIFs accurately within a half cycle.

• Proceedings of the KIEE Conference
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• summer
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• pp.384-387
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• 2004

The direction and the type of a fault on a transmission line need to be identified rapidly and correctly, The work described in this paper addresses the problem encountered by a conventional algorithm in a fault type classification in double circuit line, this arises due to a mutual coupling and CT saturation under the fault condition. We present an approach to identify fault type with novel neural network on double circuit transmission line. The neural network based on combined unsupervised training method provides the ability classify the fault type by different patterns of the associated voltages and currents.

• The Journal of Engineering Geology
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• v.4 no.1
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• pp.29-42
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• 1994

Discrimination studies between microearthquakes and underground explosions are carried out in the pure-continental path of north-south within the Korean Peninsula. The characteristic waveforms for explosions and microearthquakes are investigated in the light of observation and synthetic seismograms. The characteristic waveform generation is minnly a function of source mechanism and ray-path and former influences more strongly than the latter.A double-couple source mechanism for microeatthquakes and a single-couple(force) mechanism for explosions are presented in this study. It is found for very shallow events to have outstanding of $L_g$ waves in the transverse components that pass through the upper crust with period of 1 - 6 seconds and fundamental modes of Rayleigh waves, $R_g$ in the vertical component with period 8-12 seconds. Furthermore it is pointed out that the first arrival amplitudes of SH waves for explosions are always srnall regardless of azimuth of stations since there is non-existence of nodal lines for the explosion mechanism. Theoretical seismograms for explosions show the first motions of compression with short wavelengths as well as mostly fundamental modes of Rayleight waves, $R_g$ waves and $L_g$ waves, whereas those of micro-earthquakes give either compression or dilatation according to the ack azimuth epicenter to stations and poor or non $R_g$ waves and complicated $L_g$ waves, depending on the focal depth.

• 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.