• 대한전자공학회논문지SD
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• 제46권12호
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• pp.96-104
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• 2009

일반적인 동적 전압 조절(dynamic voltage scaling)의 가정과는 다르게 실제 시스템에 있어서는 응용 프로그램의 성능이 프로세서의 동작 속도에 정비례하지 않는다. 본 연구에서는 응용 프로그램의 성능과 동작 속도의 관계를 실측을 통하여 수치화하여 응용 프로그램의 특성을 모델링하고 각기 다른 응용 프로그램 특성 계수를 갖는 태스크 집합에 적합한 스케줄링 기법을 제시하였다. 또한, 모든 태스크의 단위 수행시간 변화에 따른 에너지의 변화량이 동일해야 에너지 최적이 된다는 해석적인 정리를 제시하였다. 본 연구에서 제시하는 스케줄링 기법은 이러한 해석적 정리에 기반을 두기 때문에 항상 각 태스크에 시스템 에너지 최적이 되는 조절비를 제시한다. 합성 태스크 집합을 이용한 실험결과에서 기존 연구 대비 약 7%의 추가적인 에너지 절감 효과를 얻을 수 있었다.

• 복식
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• 제54권3호
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• pp.73-85
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• 2004

The purpose of this study was to investigate the characteristic and sensibility of Japanism fashion designs which represented by Japanese designers and Western designers. The stimulus were 29 pictures of contemporary fashion designs which represented the Japanism style fashion designs from fashion collections. The data were analyzed by Cluster analysis, Factor analysis, Multidimensional Scaling Method and Regression Analysis. The specific objectives were as follows ; 1) As result of design analysis, Japanism fashion sensibility is unique and good-looking. 2) As result of the factor analysis. 4 factors which are Attractiveness, Attention, Maturity and Hardness and softness. 3) According to sensibility positioning, The Japanism fashion design was classified by Decorative-Simple, Hard-Soft. 4) As result of the Regression Analysis, The preference of Japanism fashion design was related to attractive factor. 5) As result of the Regression Analysis. The buying desirable of Japanism fashion design was related to attractive, attentive and mature factor.

• 산업기술연구
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• 제25권A호
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• pp.39-47
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• 2005

Air void systems in hardened concrete has an important influence on concrete durability such as freeze-thaw resistance, water permeability, surface scaling resistance. Linear traverse method and point count method described at ASTM are the routine analysis of the air void system that have been widely used to estimate the spacing factor in hardened concrete. Recently, many concretes often have a spacing factor higher than the generally accepted $200-250{\mu}m$ limit for the usual range of air contents. This study is proposed to estimate the plane spacing factor by calculation of simplicity. The plane spacing factor need two parameters that are air content and numbers of air voids in the hardened concrete. Those obtained from the standard air-void system analysis of the ASTM C 457. The equation is valid for all values of paste-to-air ratio because the estimation of paste content is unnecessary at the using ASTM C 457. The plane spacing factor yields a similar estimate of the standard spacing factor.

• 한국토양비료학회지
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• 제41권6호
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• pp.387-392
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• 2008

토양의 중요한 5가지 특성 즉, 지형, 배수등급, 유효토심, 토성(속), 자갈함량 등의 특성을 이용하여 이 5가지의 특성을 복합적으로 인지하는 것은 매우 어려운 일이기 때문에 이들을 새로운 차원에 적용시켜 그 연관성들을 보고자 다차원척도법(Multidimensional Scaling)을 이용하였다. 퇴적암 유래토양의 각 특성별 구분기준은 우리나라 전체 토양에 대하여 단순화를 시도하였다. 즉, 지형요인은 15 $\rightarrow$ 9개로, 토성(속)은 32 $\rightarrow$ 6개로, 배수등급은 6 $\rightarrow$ 5개로 축합하였고, 유효토심(4개) 및 석력함량(3개)은 그대로 분석에 이용하였다. 지형요인은 산악지, 구릉지, 산록경사지, 곡간지, 선상지의 5등급으로 분류되었으며, 토성(속)은 사양질, 식양질, 미사식양질,식질의 4등급으로 분류되었으며, 배수등급은 "매우양호", "양호", "약간양호", "약간불량", "불량"의 5등급으로 분류되었다. 유효토심은 0~20, 20~50, 50~100,100cm 이상의 4등급으로 분류되었고, 자갈함량은 0~10, 10~35, 35% 이상의 3등급으로 분류되었다. 전체적으로 eigenvector면에서 볼 때 2, 3사분면에서 1, 4사분면으로 갈수록(왼쪽에서 오른쪽으로) 산토양 쪽으로 가면서 토성도 세립화하는 것을 알 수 있었다. Eigenvalue측면에서 볼 때는 뚜렷한 경향을 찾아보기는 어려웠으나 eigenvector를 기준하고 그 내에서eigenvalue를 고려하면 그룹들간의 차이가 많이 나타나는 것으로 보였다. 이와 같이 약간의 예외적인 토양이 분포함에 주시하여 분석인자의 가중치를 조정하거나, 인자의 가감등에 의하여 군집내의 동질성을 개선할 여지가 있었다. 또한 동일군집에 포함되는 토양들의 특성을 보다 면밀히 조사.연구하여 기존의 분류단위를 재고해야 할 필요성도 인정되었다.

• Ocean and Polar Research
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• 제33권2호
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• pp.99-111
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• 2011

To estimate the effects of limitation nutrients for phytoplankton growth and its influences on short-term variations of a winter phytoplankton community structure, we investigated the abiotic and biotic factors of surface and bottom waters at 20 stations of inner and offshore areas from 6 to 7 February in Gwangyang Bay, Korea. Also, several algal bio-assay studies were conducted to identify any additional nutrient effects on phytoplankton assemblage using surface water for the assay. The dominant species in the bay was diatom Skeletonema costatum, which occupied more than 70% of total species in most stations (St.1-16) of the inner bay. According to a cluster and multidimensional scaling (MDS) analysis based on phytoplankton community data from each station, the bay was divided into three groups. The first group included stations from the south-western parts of Myodo lsland, which can be characterized as a semien-closed eutrophic area with high phytoplankton abundance. The second group included most stations from the north-eastern part of Myodo lsland, influenced indirectly by surface water currents from offshore of the bay. The standing phytoplankton crops were lower than those of the first group. The other cluster was restricted to samples collected from offshore of the bay. In the bay, silicon (Si) and phosphorus (P) were not a major limiting factor for phytoplankton production. However, since the DIN: DIP and DSi: DIN ratios clearly demonstrated that there were potential stoichiometric N limitations, nitrogen (N) was considered as a limiting factor. Based on the algal bio-assay, in vivo fluorescence values in N (+) added experiments were higher compared to control and P added experiments. Our results suggested that nitrogen may act as one of the most important factors in controlling primary production during winter in Gwangyang Bay.

• 디지털산업정보학회논문지
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• 제11권1호
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• pp.171-182
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• 2015

The general wavelet transform has profitable property in non-stationary signal analysis specially. The tunable Q-factor wavelet transform is a fully-discrete wavelet transform for which the Q-factor Q and the asymptotic redundancy r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to match the oscillatory behavior of the signal of interest, so as to enhance the sparsity of a sparse signal representation. The TQWT is well suited to fast algorithms for sparsity-based inverse problems because it is a Parseval frame, easily invertible, and can be efficiently implemented. The transform is based on a real valued scaling factor and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. The transform is parameterized by its Q-factor and its over-sampling rate, with modest over-sampling rates being sufficient for the analysis/synthesis functions to be well localized. This paper describes filter design of 2D discrete-time wavelet transform for which the Q-factor is easily specified. With the advantage of this transform, perfect reconstruction filter design and implementation for performance improvement are focused in this paper. Hence, the 2D transform can be tuned according to the oscillatory behavior of the image signal to which it is applied. Therefore, application for performance improvement in multimedia communication field was evaluated.

• 디지털산업정보학회논문지
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• 제10권3호
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• pp.237-247
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• 2014

This paper describes a 2D discrete-time wavelet transform for which the Q-factor is easily specified. Hence, the transform can be tuned according to the oscillatory behavior of the image signal to which it is applied. The tunable Q-factor wavelet transform (TQWT) is a fully-discrete wavelet transform for which the Q-factor, Q, of the underlying wavelet and the asymptotic redundancy (over-sampling rate), r, of the transform are easily and independently specified. In particular, the specified parameters Q and r can be real-valued. Therefore, by tuning Q, the oscillatory behavior of the wavelet can be chosen to match the oscillatory behavior of the signal of interest, so as to enhance the sparsity of a sparse signal representation. The TQWT is well suited to fast algorithms for sparsity-based inverse problems because it is a Parseval frame, easily invertible, and can be efficiently implemented. The TQWT can also be used as an easily-invertible discrete approximation of the continuous wavelet transform. The transform is based on a real valued scaling factor (dilation-factor) and is implemented using a perfect reconstruction over-sampled filter bank with real-valued sampling factors. The transform is parameterized by its Q-factor and its oversampling rate (redundancy), with modest oversampling rates (e. g. 3-4 times overcomplete) being sufficient for the analysis/synthesis functions to be well localized. Therefore, This method services good performance in image processing fields.

• 한국환경생태학회지
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• 제19권3호
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• pp.287-298
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• 2005

본 연구는 지속가능한 자연생태계를 객관적이고 합리적으로 평가할 수 있는 지표군을 구축함으로써 국토 및 자연환경 보전의 기초자료 제공과 더불어 환경정책 수립이나 입안을 위한 방향제시를 위해 수행되었다. 생물적 요인, 무생물적 요인, 질적 요인, 기능적 요인 등 4개의 평가항목을 선정하였으며, 평가지표는 밀도, 총 질소량, 헤메로비등급, 재화생산등56개로 추출하였다. 평가항목과 평가지표가 신뢰계수 0.6 이상으로 확인되어 설문지 설계에는 큰 문제가 없는 것으로 나타났다. 평가지표의 상관분석 결과, 생물적 요인의 경우 군도와 우점도, 무생물적 요인의 경우 토성과 방위, 질적 요인의 경우 귀화율과자연파괴도, 기능적 요인의 경우산사태 방지와토양침식 방지가 높은상관성을 보였다. 다차원 척도법에 의해 차원결정을 수행한 결과, 스트레스값은 $0.042\sim0.133$, 적합도 지수는 0.9 이상으로 나타나 통계적 문제는 발생하지 않았다. X축의 경우 생물적 요인은 구조, 무생물적 요인은 관점, 질적 요인은 구성, 기능적 요인은 대상이고 Y축은 형태, 범위, 구조, 활동으로 형성되었다.

• 전자공학회논문지B
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• 제33B권5호
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• pp.17-24
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• 1996

In this paper, we present a robust performance improvement method for the NLCF(normalized left coprime factor) uncertain structure using loop shaping and the structure singular value. For this, we select weighting functions for a loop shaping considering condition numer, and transform the NLCF uncertain structure into the 4-block structure. However, we can't get a good performance on account of the restriction of weighting functions. To cope with this, we motivate the use of structured singular vlaue in the robust performance improvement procedure. After all, the robust performance improvement can be obtained by a factor W$_{a}$ and a scaling factor of D-K iteration.

• 한국기후변화학회지
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• 제5권4호
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• pp.349-357
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• 2014

Greenhouse gases (GHGs) from agricultural sector were categorized in a guideline book from Intergovernmental Panel on Climate Change (IPCC) as methane from rice paddy fields and nitrous oxide from agricultural soils. In general, GHG emissions were calculated by multiplying the activity data by emission factor. Tier 1 methodology uses IPCC default factors and Tier 2 uses country specific emission factors (CS). The CS and Scaling factors (SF) had been developed by NAAS (National Academy of Agricultural Science) projects from 2009 to 2012 to estimate how the advanced emissions. The purpose of this study was to compare GHG emissions calculated from IPCC default factors and NAAS CS and SF of agricultural sector in Korea. Methane emissions using CS and SF in rice paddy field was about 79% higher than those using IPCC default factors. In the agricultural soils, nitrous oxide emissions using CS from the 5 crops were about 40% lower than those using IPCC default. Except those 5 crops, approximately up to 52% lower emissions were calculated using CS compared to those using IPCC default factors. The total GHG emissions using CS and SF were about 33% higher than those using Tier 1 method by IPCC default factors.