• IEIE Transactions on Smart Processing and Computing
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• 제5권2호
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• pp.85-93
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• 2016

The existence of correlation characteristics brings significant potential advantages to the development of efficient routing protocols in wireless sensor networks. This research proposes a new simple method of clustering sensor nodes into correlation groups in multiple-correlation areas. At first, the evaluation of joint entropy for multiple-sensed data is considered. Based on the evaluation, the definition of correlation region, based on entropy theory, is proposed. Following that, a correlation clustering scheme with less computation is developed. The results are validated with a real data set.

• 한국멀티미디어학회논문지
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• 제18권3호
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• pp.323-329
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• 2015

In this paper we applied pattern recognition approach to detect audio forgery. Classification of the microphone types and models can help determining the authenticity of the recordings. Canonical correlation analysis was applied to extract feature for microphone classification. We utilized the linear dependence between two near-silence regions. To utilize the advantage of multi-feature based canonical correlation analysis, we selected three commonly used features to capture the temporal and spectral characteristics. Using three different microphones, we tested the usefulness of multi-feature based characteristics of canonical correlation analysis and compared the results with single feature based method. The performance of classification rate was carried out using the backpropagation neural network. Experimental results show the promise of canonical correlation features for microphone classification.

• 대한원격탐사학회지
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• 제17권4호
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• pp.335-344
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• 2001

Texture is extensively studied in a variety of image processing applications such as image segmentation and classification because it is an important property to perceive regions and surfaces. This paper focused on the analysis and synthesis of textured single and multiband images using Markov Random Field model considering the existent spatial correlation. Especially, for multiband images, the cross-channel correlation existing between bands as well as the spatial correlation within band should be considered in the model. Although a local interaction is assumed between the specified neighboring pixels in MRF models, during the maximization process, short-term correlations among neighboring pixels develop into long-term correlations. This result in exhibiting phase transition. In this research, the role of temperature to obtain the most probable state during the sampling procedure in discrete Markov Random Fields and the stopping rule were also studied.

• 전기학회논문지P
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• 제55권4호
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• pp.167-175
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• 2006

This paper presents a method to segment semiconductor wafer ID on poor quality images. The method is based on multiple templates and normalized gray-level correlation (NGC) method. If the lighting condition is not so good and hence, we can not control the image quality, target image to be inspected presents poor quality ID and it is not easy to identify and then recognize the ID characters. Conventional several method to segment the interesting ID regions fails on the bad quality images. In this paper, we propose a multiple template method, which uses combinational relation of multiple templates from model templates to match several characters of the inspection images. To find out the optimal solution of multiple template model in ID regions, we introduce newly-developed snake algorithm. Experimental results using images from real FA environment are presented.

• 천문학회보
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• 제40권2호
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• pp.31.3-32
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• 2015

We present the physical properties of star forming regions in IC 10 obtained from Korea VLBI Network (KVN) 22GHz, the Submillimeter Array (SMA) CO, Very Large Array (VLA) HI 21cm, optical (U, B, V and H-alpha), and Spitzer infrared observations. IC 10 is a nearby (~0.7Mpc) irregular blue compact dwarf (BCD) galaxy which is likely to be experiencing an intense and recent burst of star formation. This nearby infant system showing high star formation rate but low metallicity (<20% of that of the Sun) provides critical environment of interstellar medium (ISM) under which current galactic star formation models are challenged. To make quantitative analysis of the ISM in the galaxy, we apply 2D cross-correlation technique to the multi-wavelength data for the first time. By cross-correlating different tracers of star formation, dust and gas phases in IC 10 in a two dimensional way, we discuss the gas properties and star formation history of the galaxy.

• 천문학회보
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• 제42권2호
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• pp.82.3-83
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• 2017

We investigate the relationships between the peak fluxes of 18 solar energetic particle (SEP) events and associated coronal mass ejection (CME) 3D parameters (speed, angular width, and separation angle) obtained from SOHO, STEREO-A and/or B for the period from 2010 August to 2013 June. We apply the STEREO CME Analysis Tool (StereoCAT) to the SEP-associated CMEs to obtain 3D speeds and 3D angular widths. The separation angles are determined as the longitudinal angle between flaring regions and magnetic footpoints of the spacecraft, which are calculated by the assumption of Parker spiral field. The main results are as follows. 1) We find that the dependence of the SEP peak fluxes on CME 3D speed from multi-spacecraft is similar to that on 2D CME speed. 2) There is a positive correlation between SEP peak flux and 3D angular width from multi-spacecraft, which is much more evident than the relationship between SEP peak flux and 2D angular width. 3) There is a noticeable anti-correlation (r=-0.62) between SEP peak flux and separation angle. 4) The multiple regression method between SEP peak fluxes and CME parameters shows that the longitudinal separation angle is the most important parameter, and the CME 3D speed is secondary on SEP peak flux.

• 한국멀티미디어학회논문지
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• 제15권7호
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• pp.859-869
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• 2012

다시점 영상 부호화는 시점 간에 변이 정보를 활용하여 부호화 효율을 향상시키기 위해 개발되었다. 하지만 다시점 영상 부호화는 변이 예측 때문에 높은 계산복잡도를 가진다. 본 논문은 다시점 영상 부호화의 계산 시간을 감소시키기 위한 비기준 화면의 빠른 모드결정 기법을 제안한다. 제안하는 기법은 2단계 과정을 수행한다. 계층적인 B 화면 구조의 기준 화면은 비기준 화면의 예측모드 선택과 높은 상관성을 가진다. 따라서 첫 번째 단계에서, 비기준 화면의 예측모드는 기준 화면의 매크로블록 영역을 이용함으로써 선택된다. 두 번째 단계에서, 우리는 7개 블록 크기의 Inter 예측모드의 참조 방향에서 높은 상관성을 이용하여 Inter 예측모드의 참조방향을 선택한다. 제안하는 기법으로 실험한 결과는 부호화 효율에 큰 손실 없이 부호화 시간에서 평균 약 44% 감소시킬 수 있었다.

• 환경영향평가
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• 제30권4호
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• pp.237-246
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• 2021

경기도 도시대기측정망의 시간별 PM₁₀과 PM_2.5 농도에 대하여 측정소별로 상관성을 분석하여 측정소별 미세먼지 농도자료의 유사성을 파악해보았다. 미세먼지 경보제를 위해 사용되고 있는 기존의 권역구분을 그대로 이용했을 때, 동일한 권역 내의 측정소들은 PM₁₀의 경우 0.68, PM_2.5는 0.70 이상의 피어슨 상관계수 값을 보였으나, 일부 측정소는 타 권역과 높은 상관성(예, 0.80 이상)을 보여주고 있었다. 또한, 현재 구분하고 있는 권역은 주로 고농도 사례 횟수에 따른 군집분석 결과와 지리적 요인 등을 복합적으로 고려하여 결정된 것이므로, 미세먼지 관리를 위해서는 농도 특성에 따라 권역을 재분류할 필요성이 있다. 따라서 본 연구에서는 다차원척도법을 이용하여 미세먼지의 시간별 농도변화와 지역별 배출 기여율을 고려한 재범주화를 진행할 수 있었고, 이를 시각적으로 도시화할 수 있었다. 그 결과, PM₁₀은 5개의 권역으로 분류되고, PM_2.5는 4개의 권역으로 구분되었다.

• 한국작물학회지
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• 제47권5호
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• pp.379-383
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• 2002

Allelic diversity of 44 microsatellite marker loci originated from the coding regions of specific genes or the non-coding regions of barley genome was analyzed for 19 barley genotypes. Multi-allelic variation was observed at the most of marker loci except for HVM13, HVM15, HVM22, and HVM64. The number of different alleles ranged from 2 to 12 with a mean of 4.0 alleles per micro-satellite. Twenty-one alleles derived from 10 marker loci are specific for certain genotypes. The level of polymorphism (Polymorphic Information Content, PIC) based on the band pattern frequencies among genotypes was relatively high at the several loci such as HVM3, HVM5, HVM14, HVM36, HVM62 and HVM67. In the cluster analysis using genetic similarity matrix calculated from microsatellite-derived DNA profiles, two major groups were classified and the spike-row type was a major factor for clustering. Correlation between genetic similarity matrices based on microsatellite markers and pedigree data was highly significant ($r=0.57^{**}$), but these two parameters were moderately associated each other. On the other hand, RAPD-based genetic similarity matrix was more highly associated with microsatellite-based genetic similarity ($r=0.63^{**}$) than coefficient of parentage.

• 화약ㆍ발파
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• 제36권4호
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• pp.26-34
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• 2018

인화성 물질을 보유하고 있는 시설물에서 인화성 물질이 유출되어 형성된 증기운의 폭발이 국내와 해외에서 자주 발생하고 있다. 본 연구에서는 증기운 폭발에 따른 폭풍 효과를 모사하기 위해서 TNT 등가법과 다중에너지법을 적용하였다. TNT 등가법은 단순하고 직접적인 적용이 가능하기 때문에 증기운 폭발을 해석하기 위해서 지금까지 널리 사용되고 있다. 그러나 TNT 등가법은 증기운 폭발로부터 발생하는 연소에너지와 이를 TNT 등가량으로 환산하는데 필요한 적절한 상관관계를 선택하는 것이 어렵다는 근본적인 단점을 가지고 있다. 다중에너지법에서는 증기운 폭발의 강도가 증기운이 확산되는 지역에서의 확산 경로의 레이아웃에 따라 달라진다고 가정한다. 즉 증기운의 잠재적 폭발력은 혼잡지역의 혼잡정도에 따라 달라진다. 본 연구에서는 TNT 등가법과 다중에너지법의 적용성을 평가하기 위해서 Flixborough 폭발사고를 사례연구로 분석하였다. 분석 결과 TNT 등가계수와 폭발강도계수를 현장상황에 맞게 적절히 선택하는 경우 TNT 등가법과 다중에너지법은 증기운 폭발 사고를 분석하는데 적합할 것으로 예상된다.