• Title/Summary/Keyword: 특성인자

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Key Parameter of Peel-off Test for Reliability Assessment of Toner Film (토너 박막의 신뢰성 평가를 위한 Peel-off Test의 주요인자)

  • Kim, Kwang-Il;Kim, Dae-Eun
    • Transactions of the Korean Society of Mechanical Engineers A
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    • v.34 no.11
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    • pp.1567-1573
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    • 2010
  • In printing systems, the reliability of printed material depends on the ability of the toner film to remain adhered to the paper surface. In order to measure the strength between the toner film and the paper surface, a peel-off test is often performed. After conducting the test, the amount of toner film remaining on the paper is measured in order to determine the interfacial strength. The results of this test can be affected by many factors such as the peeling rate, weight of the roller used, and dwell time of tape. Sensitivity analysis was performed with respect to peeling rate, weight of roller and dwell time of tape at different levels. It was found that the interfacial strength increased with an increase in these main parameters. On the other hand, the trend with respect to the percentage of toner loss was different. Further, the interfacial strength and percentage of toner loss were significantly affected by the peeling rate.

Analysis of Regional Environment in the Nak-Dong River Watershed using Geographic Information System (지리정보시스템을 이용한 낙동강 유역권의 광역환경분석)

  • Jung, Sung-Kwan;Park, Kyung-Hun
    • Journal of the Korean Association of Geographic Information Studies
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    • v.3 no.1
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    • pp.12-22
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    • 2000
  • Recently urbanization and industrialization around the Nak-dong river watershed have lead to the regional environmental problems. In this viewpoint, we took up variables which were related to watershed environment, and found out spatial and environmental properties of the Nak-dong river using factor analysis, ANOVA test and geographic information system. The results may be summarized as follows; three common factors which were named as urban, agricultural and industrial pollutant factor extracted from statistical methods. Spatial distribution of watershed environment could be found by connection attributes of factor scores derived from factor analysis to digital map using GIS. According to the results, distribution of pollutant sources were concentrated in the main stream of the Nak-dong river and its tributaries, Kum-ho river. So it is necessary to manage the watershed environment in due consideration of environmental carrying capacity.

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Speaker Recognition Using Dynamic Time Variation fo Orthogonal Parameters (직교인자의 동적 특성을 이용한 화자인식)

  • 배철수
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.17 no.9
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    • pp.993-1000
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    • 1992
  • Recently, many researchers have found that the speaker recognition rate is high when they perform the speaker recognition using statistical processing method of orthogonal parameter, which are derived from the analysis of speech signal and contain much of the speaker's identity. This method, however, has problems caused by vocalization speed or time varying feature of speed. Thus, to solve these problems, this paper proposes two methods of speaker recognition which combine DTW algorithm with the method using orthogonal parameters extracted from $Karthumem-Lo\'{e}ve$ Transform method which applies orthogonal parameters as feature vector to ETW algorithm and the other is the method which applies orthogonal parameters to the optimal path. In addition, we compare speaker recognition rate obtained from the proposed two method with that from the conventional method of statistical process of orthogonal parameters. Orthogonal parameters used in this paper are derived from both linear prediction coefficients and partial correlation coefficients of speech signal.

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A Study on the Image and Visual Preference for the Seongpanak Districtat at the Mt. Hallasan (한라산 성판악 등산로 주변 경관이미지 및 선호도 특성에 관한 연구)

  • Kim, Sei-Cheon;Huh, Joon
    • Korean Journal of Environment and Ecology
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    • v.21 no.2
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    • pp.134-140
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    • 2007
  • The purpose of this study is to investigate the landscape image and visual preference for ridges of the Seongpanak district at Mt. Hallasan. For this, the evaluation of the artificial and natural landscape is compared through the medium of color slides. Data is analyzed through the descriptive statistics and spatial image is analyzed by factor analysis algorithm. Principle component analysis and Varimax Method are applied to extraction and factor rotation respectively. The results of this study can be summarized as follows : General visual imagesthe Seongpanak district at Mt. Hallasan are clean, beautiful and attractive. The degree of visual preference increased commensurately with the lower rate of artificial factors. Landscape Factors covering the spatial image are found to be 'aesthetic value', 'spatial scale', 'natural quality', and 'topography' factor, which account for 57.6% of the total variants. The aesthetic value variable is the most important factor in visual preference and the unnatural factors are found to present negative elements with visual preference.

Optimization procedure for parameter design using neural network (파라미터 설계에서 신경망을 이용한 최적화 방안)

  • Na, Myung-Whan;Kwon, Yong-Man
    • Journal of the Korean Data and Information Science Society
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    • v.20 no.5
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    • pp.829-835
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    • 2009
  • Parameter design is an approach to reducing performance variation of quality characteristic value in products and processes. Taguchi has used the signal-to-noise ratio to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. However, there are difficulties in practical application, such as complexity and nonlinear relationships among quality characteristics and control factors (design factors), and interactions occurred among control factors. Neural networks have a learning capability and model free characteristics. There characteristics support neural networks as a competitive tool in processing multivariable input-output implementation. In this paper we propose a substantially simpler optimization procedure for parameter design using neural network. An example is illustrated to compare the difference between the Taguchi method and neural network method.

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광양만의 유기물 증가 환경에서 주요오염원과 오염원의 영향권

  • Lee, Yeong-Sik;Gang, Chang-Geun;Choe, Yong-Gyu;Lee, Sang-Yong
    • Proceedings of the Korean Environmental Sciences Society Conference
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    • 2006.05a
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    • pp.269-272
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    • 2006
  • 유기물 증가에 미치는 환경인자를 중심으로 그 수평분포 특성, 원인, 주요오염원의 영향권에 대하여 검토하기 위해 표층 해수와 표층 퇴적물을 조사하였으며, 그 결과를 요약하면 다음과 같다. 유기물변동에 영향을 미치는 인자에 대한 주요 오염원은 크게 섬진강과 동천 등의 담수, 광양시 생활하수, 여수산업단지로 크게 나누어볼 수 있었다. 해수와 퇴적물의 환경인자에 대한 수평분포 특성과 해수의 흐름 등을 고려하여 이들 주요 오염원의 영향권을 구분한 결과, (I) 섬진강 담수의 영향을 많이 받는 해역, (II) 광양시와 동천의 영향이 큰 해역, (III) 여수 산업단지의 영향을 많이 받는 해역으로 나누어졌다. 그리고, 오염원의 영향권별 수질환경인자의 특성으로는 섬진강 담수의 영향을 많이 받는 해역은 낮은 염분, 높은 농도의 $NO_3$-N과 $SiO_2$-Si, 담수와 생활하수의 영향이 큰 해역은 낮은 염분, 높은 농도의 $NO_3$-N, $NH_4$-N, $SiO_2$-Si, 여수 산업단지의 영향을 많이 받는 해역은 표층해수의 경우 높은 수온, 높은 농도의 $NH_4$-N과 $PO_4$-P, 퇴적물의 경우 높은 농도의 $NH_4$-N, $PO_4$-P, $SiO_2$-Si로 특징지울 수 있을 것으로 보인다.

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온도 스트레스에 의한 CIGS 박막 태양전지의 효율 변화 분석

  • Kim, Sun-Gon;Kim, Sang-Seop;Choe, Byeong-Deok
    • Proceedings of the Korean Vacuum Society Conference
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    • 2013.08a
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    • pp.224.1-224.1
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    • 2013
  • CIGS박막 태양전지의 온도에 의한 효율변화를 알아보기 위해 $25^{\circ}C$, $50^{\circ}C$, $100^{\circ}C$, $150^{\circ}C$, $200^{\circ}C$에서 각각 10시간을 노출시킨 후 전기적인 특성들을 측정하여 초기 값들과 비교해 보았다. 태양전지의 온도 스트레스에 의한 특성 및 파라미터들의 변화들을 확인하기 위해 Light I-V를 측정하여 비교 분석하였다. 실험에 사용한 소자의 초기 파라미터들은 $25^{\circ}C$에서 측정하였고, 개방전압 0.66V, 곡선인자 67.99%, 효율 10.49%이다. 각 온도별 노출에 대해 CIGS박막 태양전지의 효율은 $50^{\circ}C$, $100^{\circ}C$에서는 초기 값과 비슷하였고, $150^{\circ}C$, $200^{\circ}C$에서 초기 값 대비 22.8%, 57.5% 감소 특성을 보였다. 단락전류는 온도별 노출에 대해서 크게 변화하는 모습이 나타나지 않았고, 개방전압과 곡선인자는 효율과 마찬가지로 $150^{\circ}C$, $200^{\circ}C$에서 감소하는 모습이 나타났다. $150^{\circ}C$, $200^{\circ}C$에서 개방전압이 3.4%, 8.3%, 곡선인자는 19.9%, 53.7%정도 감소하였다. 이 실험을 통해 개방전압과 곡선인자가 일정 온도부터 온도의 영향을 받아 감소하고, 그 영향으로 효율이 감소하게 되는 것을 확인하였다.

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Computation of Underwater Acoustic Field Using Acoustic Impedance as an Input Parameter for the Ocean Bottom (음향 임피던스를 해저면 입력인자로 이용하는 수중음장 계산)

  • Lee Seongwook;Oh Taekhwan;Na Jungyul;Lee Phil-Ho;Yoon Jong Rak
    • The Journal of the Acoustical Society of Korea
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    • v.25 no.1
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    • pp.1-6
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    • 2006
  • The Possibility of using acoustic impedance as an input Parameter for computation of underwater acoustic field in shallow waters was investigated. Analysis of the acoustic reflection from the ocean bottom with shear wave effect showed that acoustic impedances below the critical grazing angle have nearly angle-independent property and could be approximated with a single value of near-grazing impedance $Z_0$. Computations of the Propagation loss based on the concept of 'effective depth' indicate that near-grazing bottom acoustic impedances could be used as an input parameter for simulation of the acoustic fields in shallow waters.

A Comparison of Antenna Factor Characteristics for a Calculable Dipole Antenna by MoM and EMF Method (모멘트법과 기전력법을 적용한 계산가능 다이폴안테나의 안테나 인자 특성 비교)

  • Kim, Ki-Chai;Kim, Sang-Myeong;Kim, Ki-Chul;Kwon, Jae-Yong;Kang, Tae-Weon;Kim, Jeong-Hwan
    • The Journal of Korean Institute of Electromagnetic Engineering and Science
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    • v.23 no.3
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    • pp.275-282
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    • 2012
  • This paper presents a comparison of antenna factor characteristics computed by the Method of Moments(MoM) and the electromotive force(EMF) method for a calculable dipole antenna with a hybrid balun. An expression for the antenna factor is formulated using the concept of power mismatch loss. The input impedance and effective length of the antenna, which are in the formula of the antenna factor, are calculated using the two methods. The results show that the antenna factors are agreed within 0.24 dB, although the maximum difference between the input impedances obtained from the two methods is about 17 ${\Omega}$.

Seasonal rainfall short-term forecasting model considering climate indices (외부기상인자를 고려한 낙동강유역 계절강수량 단기예측모형)

  • Lee, Jeong-Ju;Kwon, Hyun-Han;Hwang, Kyu-Nam;Chun, Si-Young
    • Proceedings of the Korea Water Resources Association Conference
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    • 2011.05a
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    • pp.401-401
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    • 2011
  • 본 연구는 Bayesian MCMC(Markov Chain Monte Carlo)를 이용한 비정상성 빈도해석 모형에 외부기상인자를 결합하여 계절단위의 강수량을 예측하는데 목적을 두고 있으며, 그 중에서도 홍수 위험도와 관련하여 유용하게 이용될 수 있는 여름강수량을 예측 대상으로 하였다. 비정상성 빈도해석 모형을 기반으로 외부 기상인자에 의한 변동성을 고려하기 위해서는 대상 수문량을 한정할 필요가 있으며 극대치강수량과 연관성이 높은 장마전선, 태풍 등의 기상인자는 공간적 변동성 및 복합적인 특성들로 인해 예측인자를 구성하는 기상인자로 사용하기에는 무리가 있다. 따라서 본 연구에서는 계절단위의 수문량으로 여름강수량을 대상으로 하였으며, 이에 영향을 미치는 외부 기상인자로서 SST(sea surface temperature)와 OLR(outgoing longwave radiation)을 도입하였으며, 낙동강유역 여름강수량과의 공간 상관성이 높은 지역의 이전 겨울 SST와 6월 OLR을 예측인자로 활용한 7~9월 여름강수량 예측모형을 구성하였다. 모형의 검증은 결과를 알고 있는 2010년 여름 강수량을 대상으로 수행하였으며, 모형의 적용은 현재시점에서 관측된 2010년 겨울 SST와, 과거 관측 자료를 토대로 가정된 2011년 6월 OLR을 이용하여 2011년 여름 강수량을 예측하였다. 결과적으로 모형 매개변수들의 사후분포로부터 불확실성 구간을 포함한 예측결과를 구할 수 있었다.

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