• Archives of Plastic Surgery
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• 제41권6호
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• pp.673-678
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• 2014

Background The depth of graft harvest and the residual dermis available for reepithelization primarily influence the healing of split-skin graft donor sites. When the thigh region is chosen, the authors hypothesize based on thickness measurements that the anterolateral region is the optimal donor site. Methods Full-thickness skin specimens were sampled from the anteromedial, anterior, and anterolateral regions of human cadavers. Skin specimens were cut perpendicularly with a custom-made precision apparatus to avoid the overestimation of thickness measurements. The combined epidermal and dermal thicknesses (overall skin thickness) were measured using a digital calliper. The specimens were histologically stained to visualize their basement membrane, and microscopy images were captured. Since the epidermal thickness varies across the specimen, a stereological method was used to eliminate observer bias. Results Epidermal thickness represented 2.5% to 9.9% of the overall skin thickness. There was a significant difference in epidermal thickness from one region to another (P<0.05). The anterolateral thigh region had the most consistent and highest mean epidermal thickness ($60{\pm}3.2{\mu}m$). We observed that overall skin thickness increased laterally from the anteromedial region to the anterior and anterolateral regions of the thigh. The overall skin thickness measured $1,032{\pm}435{\mu}m$ in the anteromedial region compared to $1,220{\pm}257{\mu}m$ in the anterolateral region. Conclusions Based on skin thickness measurements, the anterolateral thigh had the thickest epidermal and dermal layers. We suggest that the anterolateral thigh region is the optimal donor site for split-skin graft harvests from the thigh.

• 한국펄프종이공학회:학술대회논문집
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• 한국펄프종이공학회 2006년도 PAN PACIFIC CONFERENCE vol.2
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• pp.227-230
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• 2006

The $St{\ddot{o}}ckigt$ sizing test of the most-commonly used sizing tests is easily influenced by the individual testers' bias in recognizing red coloration. Therefore the test had to be modified to improve its reliability and reproducibility by automated recognition of a coloration procedure during testing. In order to achieve this, all measured variables occurring during the $St{\ddot{o}}ckigt$ test was first be analyzed and then reflected in the new automatic system. Secondly, the most important principle applied was to transform the RGB values of the droplet image to hue (H), saturation (S) and value (V) respectively. This is because RGB cannot be used as a color standard, owing to RGB's peculiarity of being seriously affected by the observer's point of view. Therefore, the droplet color had to be separated into three distinct factors, namely the HSV values, in order to allow linear analysis of the droplet color. When the average values of the vectors calculated during color variation from yellow to brown were plotted against time, it was possible to determine the vector value of hue, the most sensitive factor among HSV, at the specific time by differentiation of a function when it exceeds the critical point. Then, the specific time consumed up to the critical point was regarded as the $St{\ddot{o}}ckigt$ sizing degree. The conventional method took more time to recognize an ending point of coloration than the automatic method, and in addition the error ranges of the conventional sizing degrees on the specific addition points of AKD were wider than those of the automatic method.

• Imaging Science in Dentistry
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• 제41권4호
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• pp.155-159
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• 2011

Purpose : This study was performed to determine the prevalence of maxillary canine impaction on a basis of a single panoramic radiograph in Bangladeshi population. Materials and Methods : A random sample of seven hundred panoramic radiographs was collected from the patient record of a dental clinic. All the selected panoramic radiographs were taken from January 2009 to August 2010 by a single panoramic radiograph machine with the same exposure time (19 seconds) for all radiographs. One hundred and twenty panoramic radiographs were excluded to minimize the selection bias. In a dim lit room, an observer assessed the radiographs on a standard radiographic light box. The position of the impacted maxillary canine was recorded in line with the longitudinal axis of a tooth using the edge of a metal ruler. Data were subsequently put on SPSS 11.5 software and chi-square (${\chi}^2$) tests were applied to find out the association. Results : Among 580 panoramic radiographs it was found that impacted maxillary canines were present in only 7 (1.2%) radiographs. A statistical significant difference was found between the age of the patients and the vertical position of the impacted canines (p=0.000) and between the age of the patients and the horizontal position of the impacted canines (p=0.003). Conclusion : The prevalence was found to be low compared with the present study from the limitation of panoramic image. Further study needs to include three-dimensional imaging modality.

• Journal of Ecology and Environment
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• 제41권2호
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• pp.34-44
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• 2017

Background: Monitoring terrestrial vegetation cover condition is important to evaluate its current condition and to identify potential vulnerabilities. Due to simplicity and low cost, point intercept method has been widely used in evaluating grassland surface and quantifying cover conditions. Field-based digital photography method is gaining popularity for the purpose of cover estimate, as it can reduce field time and enable additional analysis in the future. However, the caveats and uncertainty among field-based vegetation cover estimation methods is not well known, especially across a wide range of cover conditions. We compared cover estimates from point intercept and digital photography methods with varying sampling intensities (25, 49, and 100 points within an image), across 61 transects in typical steppe, forest steppe, and desert steppe in central Mongolia. We classified three photosynthetic groups of cover important to grassland ecosystem functioning: photosynthetic vegetation, non-photosynthetic vegetation, and bare soil. We also acquired normalized difference vegetation index from satellite image comparison with the field-based cover. Results: Photosynthetic vegetation estimates by point intercept method were correlated with normalized difference vegetation index, with improvement when non-photosynthetic vegetation was combined. For digital photography method, photosynthetic and non-photosynthetic vegetation estimates showed no correlation with normalized difference vegetation index, but combining of both showed moderate and significant correlation, which slightly increased with greater sampling intensity. Conclusions: Results imply that varying greenness is playing an important role in classification accuracy confusion. We suggest adopting measures to reduce observer bias and better distinguishing greenness levels in combination with multispectral indices to improve estimates on dry matter.

• 한국지리정보학회지
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• 제25권2호
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• pp.48-58
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• 2022

본 연구에서는 흉고직경, 수고 등 산림지역 수목의 기하학적 구조 측정을 위한 휴대용 라이다 장비의 활용성을 평가하였다. 휴대용 라이다 장비의 정확도를 파악하기 위하여 태백산국립공원 내 대상지역(30m×30m)을 선정하고 매목조사를 통해 흉고직경과 수고를 측정하였다. 또, 라이다 장비의 활용성에 대한 객관적인 평가를 위해 편향, 평균제곱근오차, 절대평균오차, 상관계수 등 4가지 통계지표를 활용하였다. 분석결과, 흉고직경의 경우 매목조사와 휴대용 라이다 장비를 이용한 측정치가 거의 유사한 것으로 나타났으며, 휴대용 라이다 장비는 기존의 조사방식을 대체하기에 충분하였다. 그러나, 매목조사에 의한 수고 측정치는 다양한 오차를 포함하고 있어 라이다의 정확도를 파악하기에는 한계가 있었다. 향후 보다 신뢰성 있는 수고 측정방법을 통해 수집된 자료로부터 라이다 장비의 정확도를 평가하는 연구가 필요할 것으로 생각된다.

• Imaging Science in Dentistry
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• 제52권3호
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• pp.239-244
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• 2022

Purpose: Despite the proliferation of numerous morphometric and anthropometric methods for sex identification based on linear, angular, and regional measurements of various parts of the body, these methods are subject to error due to the observer's knowledge and expertise. This study aimed to explore the possibility of automated sex determination using convolutional neural networks(CNNs) based on lateral cephalometric radiographs. Materials and Methods: Lateral cephalometric radiographs of 1,476 Iranian subjects (794 women and 682 men) from 18 to 49 years of age were included. Lateral cephalometric radiographs were considered as a network input and output layer including 2 classes(male and female). Eighty percent of the data was used as a training set and the rest as a test set. Hyperparameter tuning of each network was done after preprocessing and data augmentation steps. The predictive performance of different architectures (DenseNet, ResNet, and VGG) was evaluated based on their accuracy in test sets. Results: The CNN based on the DenseNet121 architecture, with an overall accuracy of 90%, had the best predictive power in sex determination. The prediction accuracy of this model was almost equal for men and women. Furthermore, with all architectures, the use of transfer learning improved predictive performance. Conclusion: The results confirmed that a CNN could predict a person's sex with high accuracy. This prediction was independent of human bias because feature extraction was done automatically. However, for more accurate sex determination on a wider scale, further studies with larger sample sizes are desirable.

• 한국환경생태학회지
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• 제38권3호
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• pp.230-245
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• 2024

외부 환경변화에 민감한 양서류는 지역 내 생태환경의 변화나 교란을 평가하는 생물지표종으로 활용되고 있다. 도시화로 인한 서식지 파괴, 단절과 같은 인위적인 위협으로 인해 무미목 양서류 종 3분의 1이 멸종 위험에 처한 것으로 알려져있다. 무미목 양서류의 적절한 보호 및 보전전략 마련을 위해서는 개체군의 특성을 고려한 생물종 조사가 요구된다. 본 연구는 무미목 양서류의 번식기 울음소리를 이용한 생태모니터링에 있어 시민들의 참여 가능성을 모색하고자 하였다. 또한 적절한 품질관리 방안을 제안하여 오류나 편향을 제거하고 신뢰도 높은 생물종 출현 자료를 추출하고자 하였다. 시민과학 프로젝트는 국내에 서식하는 무미목 양서류 12종을 대상으로 2022년 4월 1일부터 8월 31일까지 전국을 대상으로 수행되었다. 시민들의 자발적인 참여를 통해 무미목 양서류의 번식기 울음소리를 직접 청취하고 모바일 애플리케이션을 통해 녹음함으로써 음성신호 모니터링이 진행되었다. 또한 품질관리 프로세스를 구축하여 시민들로부터 수집된 데이터의 오류 및 편향을 누락, 허위, 잘못된 식별과 같이 3단계로 분류하여 신뢰도 높은 생물종 출현 자료를 추출하고자 하였다. 시민참여 무미목 양서류 음성신호 모니터링 결과 총 6,808건의 관찰 기록을 수집할 수 있었다. 품질관리 프로세스를 통해 6,808건의 데이터 중 1,944건(28.55%)에서 오류 및 편향이 발생하였다. 오류 및 편향 유형으로는 누락이 922건 (47.43%)으로 높은 빈도를 보였으며 잘못된 식별 540건(27.78%), 허위 482건(24.79%) 순서로 나타났다. 시민과학프로젝트를 통해 국내에 서식하는 12종의 무미목 양서류 중 두꺼비(Bufo gargarizans Cantor), 한국산개구리(Rana coreana)를 제외한 10종의 무미목 양서류의 번식기 울음소리를 관찰할 수 있었다. 주로 개체수 감소로 인하여 관찰이 어렵거나 비 출현 개체의 번식기와 시민과학 프로젝트 진행 시점과의 차이로 인해 번식기 울음소리를 수집하는데 어려움이 발생한 것으로 나타났다. 본 연구는 시민참여를 토대로 국내에 서식하는 무미목 양서류의 번식기 울음소리를 통해 분포현황과 생물종 출현 자료 수집을 처음으로 검토한 연구이다. 향후 시민과학을 접목한 생물음향 모니터링 설계와 시민과학 데이터 품질관리 방안에 대한 기초자료로 활용될 수 있을 것으로 판단된다.