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ACCRETION FLOW AND DISPARATE PROFILES OF RAMAN SCATTERED O VI λλ 1032, 1038 IN THE SYMBIOTIC STAR V1016 CYGNI

  • Heo, Jeong-Eun;Lee, Hee-Won
    • 천문학회지
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    • 제48권2호
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    • pp.105-112
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    • 2015
  • The symbiotic star V1016 Cygni, a detached binary system consisting of a hot white dwarf and a mass-losing Mira variable, shows very broad emission features at around 6825 Å and 7082 Å, which are Raman scattered O vi λλ 1032, 1038 by atomic hydrogen. In the high resolution spectrum of V1016 Cyg obtained with the Bohyunsan Optical Echelle Spectrograph these broad features exhibit double peak profiles with the red peak stronger than the blue counterpart. However, their profiles differ in such a way that the blue peak of the 7082 feature is relatively weaker than the 6825 counterpart when the two Raman features are normalized to exhibit an equal red peak strength in the Doppler factor space. Assuming that an accretion flow around the white dwarf is responsible for the double peak profiles, we attribute this disparity in the profiles to the local variation of the flux ratio of O vi λλ 1032, 1038 in the accretion flow. A Monte Carlo technique is adopted to provide emissivity maps showing the local emissivity of O vi λ1032 and O vi λ1038 in the vicinity of the white dwarf. We also present a map indicating the differing flux ratios of O vi λλ 1032 and 1038. Our result shows that the flux ratio reaches its maximum of 2 in the emission region responsible for the central trough of the Raman feature and that the flux ratio in the inner red emission region is almost 1. The blue emission region and the outer red emission region exhibit an intermediate ratio around 1.5. We conclude that the disparity in the profiles of the two Raman O vi features strongly implies accretion flow around the white dwarf, which is azimuthally asymmetric.

부산 아파트 단지 배치형태 변화의 요인과 과정에 관한 연구 (Determinants and Processes of Morphological Transformation of Apartment Complexes in Busan)

  • 이상진;박소현
    • 대한건축학회논문집:계획계
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    • 제35권3호
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    • pp.91-102
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    • 2019
  • This study explores the causes and processes of morphological transformation of apartment complexes in Busan. All apartment complexes built until the year 2016 were selected for statistical analysis, drawing/map examination, field observation, selected expert interviews based on 6 periodical groups: Period I(~1990), Period II(1991~1995), Period III(1996~2000), Period IV(2001~2005), Period V(2006~2010), and Period VI(2011~2016). The research argues for three 'arrangement' types, P1U, L1U and P2U, which have dominated the whole periods occupying 88% of the total 260 complexes. The switch of the leading type represents for morphological transformation of apartment complexes. Four aspects, density(F.A.R.), height(maximum number of floors), deformed-building-type ratio, and building-orientation, have affected the change of 'arrangement' types. Density was the major cause of the arrangement-type switch, from P1U to L1U, on Period II(1991~1995). The morphological change, from type L1U to P2U, on Period V(2006~2010) was caused by height and orientation, and is correlated with the increased number of deformed-type buildings. The first phase morphological change on Period II(1991~1995) was resulted by the supply side of apartment. However, the second phase transformation on Period V(2006~2010) had gone through the complex process including reflection of consumers' demands. The significance of research is to reveal the morphological transformation process of apartment complexes through analytical investigation of the entire apartment data in Busan. The result shows that the major change of urban paysage started to occur from Period V(2006~2010), and the superficial evaluation on apartment 'being monotonous and repetitive' may not be proper at least from the perspective of town plan.

항공영상을 이용한 딥러닝 기반 건물객체 추출 기법들의 비교평가 (Comparative evaluation of deep learning-based building extraction techniques using aerial images)

  • 모준상;성선경;최재완
    • 한국측량학회지
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    • 제39권3호
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    • pp.157-165
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    • 2021
  • 최근 위성영상, 항공사진 등의 해상도가 향상됨에 따라 고해상도 원격탐사 자료를 이용한 다양한 연구가 진행되고 있다. 특히, 국토 전역의 건물객체 추출은 수치지도 레이어 및 주제도 작성에 필수적이기 때문에 높은 정확도가 요구된다. 본 연구에서는 딥러닝의 영상처리 기법 중 의미론적 분할에 사용되는 대표적인 모델인 SegNet, U-Net, FC-DenseNet, HRNetV2를 이용하여 건물객체 추출 모델을 생성하고, 이에 따른 모델의 평가를 수행하였다. 학습자료는 다양한 건물들로 이루어진 영상을 이용하여 생성하였고, 평가는 세 지역에 나누어서 진행하였다. 먼저 학습자료와 인접한 지역을 통해 모델의 성능을 평가하였고, 이후 학습자료와 상이한 지역을 통해 모델의 적용성을 평가하였다. 그 결과 HRNetV2 모델이 건물객체 추출의 성능과 적용성 면에서 가장 우수한 결과를 보였다. 본 연구를 통해 수치지도 내 건물레이어 생성 및 수정의 가능성을 확인하였다.

Study on the Development and Functional Characteristics of Salted Egg with Liquid Smoke

  • Putri Widyanti Harlina;Tri Yuliana;Fetriyuna;Raheel Shahzad;Meihu Ma
    • 한국축산식품학회지
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    • 제43권3호
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    • pp.471-490
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    • 2023
  • In this study, the duck eggs were salted with none or 2.5% and 5.0% (v/v) of liquid smoke (LS), respectively. As a control, samples salted without LS were used. The 2-thiobarbituric acid (TBA) values, 1-diphenyl-2-picrylhydrazyl (DPPH) radical scavenging ability, and reducing power of the three groups were tested at 0, 7, 14, and 21 and 28 days to determine the effects of LS on the antioxidant activity of treated eggs. In addition, gas chromatography-mass spectrometry (GC-MS) and electronic nose (E-Nose) were used to analyze the volatile flavor components of fresh duck eggs, LS, control, and salted duck eggs enriched with 2.5% (v/v) LS after 28 days of salting. The TBA value considerably increased with an increase in salting period, and the treated egg's TBA value significantly associated with LS concentration. The TBA value decreased as the LS concentration increased. The amount of LS present was highly associated with their capacity to scavenge DPPH radicals. The reducing power of the samples was substantially correlated with the LS concentration, and the reducing power increased with increasing LS concentration. The GC-MS data revealed that phenols and ketones were the predominant chemicals present in the LS, and they were also found in the eggs added to the LS even though they were absent in the fresh eggs and control. The flavor of the control group and treated eggs with LS differed significantly, according to the principal component analysis and radar map of the E-nose. The texture study results revealed that the LS significantly impacted the hardness, cohesiveness, and chewiness of eggs.

4-색 알고리즘 (The Four Color Algorithm)

  • 이상운
    • 한국컴퓨터정보학회논문지
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    • 제18권5호
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    • pp.113-120
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    • 2013
  • 본 논문은 지금까지 NP-완전인 난제로 알려진 4-색 정리를 $O(n)$선형시간 복잡도로 수기식과 컴퓨터를 활용하여 증명하는 알고리즘을 제안하였다. 제안된 알고리즘은 그래프 $G=(V_1,E_1)$의 정점 집합 V를 최대 독립집합 $\bar{C_1}$와 최소 정점 피복 집합 $C_1$으로 정확히 양분하는 기법을 적용하여 $\bar{C_1}$에 첫 번째 색을 배정하고, $C_1$ 집합의 정점들로 축소된 연결 그래프 $G=(V_2,E_2)$를 대상으로 $\bar{C_2}$$C_2$로 양분하여 $\bar{C_2}$에 두 번째 색을 지정하였다. $C_2$ 집합의 정점들로 축소된 연결 그래프 $G=(V_3,E_3)$를 대상으로 $\bar{C_3}$$C_3$로 양분하여 $\bar{C_3}$에 세 번째 색을 지정하였다. 마지막으로$C_3$$\bar{C_4}$로 하여 4번째 색을 배정하였다. 2개의 실제 지도 그래프와 2개의 평면 그래프를 대상으로 제안된 알고리즘을 적용한 결과 모든 그래프에서 채색수 ${\chi}(G)=4$를 찾는데 성공하였다. 결국, 제안된 "4-색 알고리즘"은 평면 그래프의 4-색을 결정하는 일반적인 알고리즘으로 적용할 수 있을 것이다.

Phytoncide 처리가 신선편이 양상추의 저장 중 이화학적, 미생물학적 및 관능적 특성에 미치는 영향 (Effects of Phytoncide Treatment on the Physicochemical, Microbiological, and Sensory Characteristics of Fresh-cut Lettuce)

  • 김도희;김한빛;문광덕
    • 한국식품저장유통학회지
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    • 제20권2호
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    • pp.166-172
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    • 2013
  • 본 연구는 솔잎 유래의 phytoncide essential oil을 증류수에 희석한 것(1%, v/v, DP)과 식용 에탄올에 희석한 것(1%, v/v, EP), 증류수(DW) 및 식용 에탄올(EE)을 침지액으로 이용하였다. pH는 DW 처리구에서 가장 높고 EP 처리구에서 가장 낮았으며, 증류수보다는 에탄올 포함 처리구에서, 대조구보다는 phytoncide 성분이 포함된 처리구에서 낮은 pH인 것으로 나타났다. 적정산도는 EP 처리구가 가장 높고, DW 처리구가 가장 낮은 것으로 나타나 pH의 결과와 잘 일치하는 경향이었다. 총 가용성 고형분 함량은 1.60~2.23의 범위로, 에탄올이 포함된 EE 및 EP 처리구에서 유의적으로 높은 함량으로 나타났으며, 포장필름 내 기체조성 분석결과, EP 처리구가 modified atmosphere packaging (MAP)의 원리인 저산소 및 고이산화탄소 조건인 것으로 나타났다. 관능검사 결과, 외관, 색 및 갈변 정도에서 EP 처리구가 유의적으로 높은 점수를 얻었으며, DW 처리구가 가장 낮은 점수를 얻어 갈변 저해에 뛰어난 효과가 있음을 알 수 있었다. 총균수는 저장 중 꾸준히 증가하는 경향이었으며, EP 처리구가 가장 완만한 증가율을 보여 항갈변뿐만 아니라 항균에도 효과가 있음을 확인할 수 있었다. 이러한 결과들로 보아 EP 처리구는 갈변 저해 및 항균에도 효과가 뛰어나 품질 유지에 긍정적인 영향을 미치므로, 고품질 신선편이 양상추의 가공 및 유통에 있어 효과적인 방법으로 이용될 수 있을 것이라 기대된다.

절대광속 측정기와 적분구를 이용한 벌브타입 LED 램프의 광효율 측정분석 (Comparative Analysis on luminous efficiency of bulb type LED lamps using both photogoniometer and integrating shpere)

  • 전상규;나종혁;김도환;이현영;조미령;최용원;양승용
    • 한국조명전기설비학회:학술대회논문집
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    • 한국조명전기설비학회 2009년도 추계학술대회 논문집
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    • pp.149-151
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    • 2009
  • This paper gives a comparative analysis on the luminous efficiency of the bulb type LED lamps. we compare and analyze the measurement values bulb type LED lamps using both photogoniometer and integrating sphere. The volt and watt of one 1map are 220 V and 7 W, respectively. The volt and watt of other one are 100 V and 5.3 W, respectively. the values of those were 79.7 1m/W and 76.9 1m/W in the integrating sphere, respectively. Similarly, the values of those were 80.2 1m/W and 79.3 1m/W on the photogoniometer, respectively. As a result, the value of luminous efficiency can be measured using either integrating sphere or absolute goniometer regardless of the difference in case of bulb type LED lamps.

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Comparison of Fine-Tuned Convolutional Neural Networks for Clipart Style Classification

  • Lee, Seungbin;Kim, Hyungon;Seok, Hyekyoung;Nang, Jongho
    • International Journal of Internet, Broadcasting and Communication
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    • 제9권4호
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    • pp.1-7
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    • 2017
  • Clipart is artificial visual contents that are created using various tools such as Illustrator to highlight some information. Here, the style of the clipart plays a critical role in determining how it looks. However, previous studies on clipart are focused only on the object recognition [16], segmentation, and retrieval of clipart images using hand-craft image features. Recently, some clipart classification researches based on the style similarity using CNN have been proposed, however, they have used different CNN-models and experimented with different benchmark dataset so that it is very hard to compare their performances. This paper presents an experimental analysis of the clipart classification based on the style similarity with two well-known CNN-models (Inception Resnet V2 [13] and VGG-16 [14] and transfers learning with the same benchmark dataset (Microsoft Style Dataset 3.6K). From this experiment, we find out that the accuracy of Inception Resnet V2 is better than VGG for clipart style classification because of its deep nature and convolution map with various sizes in parallel. We also find out that the end-to-end training can improve the accuracy more than 20% in both CNN models.

TiO2 전극 표면의 전자상태 계산 (Calculation on Surface Electronic State of $TiO_2$ Electrode)

  • 이동윤;이원재;송재성
    • 한국전기전자재료학회:학술대회논문집
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    • 한국전기전자재료학회 2003년도 하계학술대회 논문집 Vol.4 No.1
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    • pp.259-262
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    • 2003
  • The surface electronic state of rutile $TiO_2$, which is an oxide semiconductor and has a wide band gap of 3.1 $\sim$ 3.5 eV, was calculated by DV-$X_{\alpha}$ method, which is a sort of the first principle molecular orbital method and uses Hartre-Fock-Slater approximation. The $[Ti_{15}O_{56}]^{-52}$ cluster model was used for the calculation of bulk state and the $[OTi_{11}O_{34}]^{-24}$ model for the surface state calculation. After calculations, the energy level diagrams and the deformation electron density distribution map were compared in both models. As results, it was identified that the surface energy levels are found between the valence and conduction band of bulk $TiO_2$ on the surface area. The energy values of these surface-induced levels are lower than conduction band of bulk $TiO_2$ by 0.1 $\sim$ 1 eV. From this fact, it is expected that the surface energy levels act as donar levels in n-type semiconductor.

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지리적가중회귀분석을 이용한 관외입원진료비 비율의 지역 간 차이 분석 (Analysis on the Regional Variation of the Rate of Inpatient Medical Costs in Local-Out: Geographically Weighted Regression Approach)

  • 조은경;이광수
    • 보건의료산업학회지
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    • 제8권2호
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    • pp.11-22
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    • 2014
  • This study purposed to analyze the regional variation of the local-out rates of inpatient services. Multiple data sources collected from National Health Insurance Corporation and statistics Korea were merged to produce the analysis data set. The unit of analysis in this study was city, Gun, Gu, and all of them were included in analysis. The dependent variable measured the local-out rate of inpatient cost in study regions. Local environments were measured by variables in three dimensions: provider factors, socio-demographic factors, and health status. Along with the traditional ordinary least square (OLS) based regression model, geographically weighted regression (GWR) model were applied to test their effects. SPSS v21 and ArcMap v10.2 were applied for the statistical analysis. Results from OLS regression showed that most variables had significant relationships with the local-out rate of inpatient services. However, some variables had shown diverse directions in regression coefficients depending on regions in GWR. This implied that the study variables might not have consistent effects and they may varied depending the locations.