• 전기전자학회논문지
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• 제27권3호
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• pp.251-257
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• 2023

본 논문에서는 비전 트랜스포머의 셀프 어텐션이 갖는 지역적 특징 부족을 개선하는 이중 구조 셀프 어텐션 방법을 제안한다. 객체 분류, 객체 분할, 비디오 영상 인식에서 합성곱 신경망보다 연산 효율성이 높은 비전 트랜스포머는 상대적으로 지역적 특징 추출능력이 부족하다. 이 문제를 해결하기 위해 윈도우 또는 쉬프트 윈도우를 기반으로 하는 연구가 많이 이루어지고 있으나 이러한 방법은 여러 단계의 인코더를 사용하여 연산 복잡도의 증가로 셀프 어텐션 기반 트랜스포머의 장점이 약화 된다. 본 논문에서는 기존의 방법보다 locality inductive bias 향상을 위해 self-attention과 neighborhood network를 이용하여 이중 구조 셀프 어텐션을 제안한다. 지역적 컨텍스트 정보 추출을 위한 neighborhood network은 윈도우 구조보다 훨씬 단순한 연산 복잡도를 제공한다. 제안된 이중 구조 셀프 어텐션 트랜스포머와 기존의 트랜스포머의 성능 비교를 위해 CIFAR-10과 CIFAR-100을 학습 데이터를 사용하였으며 실험결과 Top-1 정확도에서 각각 0.63%과 1.57% 성능이 개선되었다.

• 대한본초학회지
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• 제38권5호
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• pp.61-67
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• 2023

Objective : Mori Fructus has been used to relieve thirst, and treat dizziness, tinnitus, and insomnia caused by poor constitution. This study was performed to investigate the protective effect of the ethanol extract of Mori Fructus (MF) in ultraviolet B (UVB)-induced apoptotic cell death in human keratinocyte cells. Methods : MF was prepared by extracting 100 g of Mori Fructus in 1 L of 100% ethanol for 48 h. 3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide (MTT) assay was used to measure cell viability. Apoptosis was determined by terminal deoxynucleotidyl transferase dUTP nick end labeling (TUNEL) assay, and the expression of apoptosis-related proteins was observed by Western blot. Tyrosinase activity was measured with a colorimetric commercial kit. Results : MF promoted cell vitality and inhibited apoptosis of UVB-induced HaCaT cells. MF pretreatment reduced TUNEL-positive cells and increased the expression of caspase-3 and -9. MF also displayed antioxidant effect with high radical scavenging ability. At 2 ㎎/㎖ concentration, the 2,2'-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid (ABTS) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical inhibition rates were 55.3 ± 4.6% and 48.5 ± 1.3%, respectively. Furthermore, MF showed a concentration-dependent inhibitory effect on tyrosinase. Conclusion : These results suggest that MF functions as a protective regulator in UVB-induced HaCaT cells by regulating apoptosis and partially exerting antioxidant effects. In addition, the tyrosinase inhibitory effect of MF shows the potential for MF to be used for skin pigmentation.

• Journal of Preventive Medicine and Public Health
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• 제56권1호
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• pp.67-76
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• 2023

Objectives: Previous studies have reported that people with disabilities are more likely to be impoverished and affected by excessive medical costs than people without disabilities. Public transfer income (PTI) reduces financial strain in low-income households. This study examined the impact of PTI on catastrophic health expenditures (CHE), focusing on low-income households and households with Medical Aid beneficiaries that contained people with disabilities. Methods: We constructed a panel dataset by extracting data on registered households with disabilities from the Korea Welfare Panel Study 2012-2019. We then used a generalized estimating equation model to estimate the impacts of PTI on CHE. A subgroup analysis was carried out to assess the moderating effects of family income levels and health insurance types. Results: As PTI increased, the odds ratio (OR) of CHE in households that contained people with disabilities decreased significantly (OR, 0.92; 95% confidence interval [CI], 0.89 to 0.94; p<0.001). In particular, PTI effectively reduced the likelihood of CHE for low-income households (OR, 0.85; 95% CI, 0.81 to 0.89; p<0.001) and those who received medical benefits (OR, 0.78; 95% CI, 0.68 to 0.89; p<0.001). Conclusions: This study highlights the positive effect of PTI on decreasing CHE. Household income and the health insurance type were significant effect modifiers, but economic barriers seemed to persist among low-income households with non-Medical Aid beneficiaries. Federal policies or programs should consider increasing the total amount of PTI targeting low-income households with disabilities that are not covered by the Medical Aid program.

• Animal Bioscience
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• 제36권6호
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• pp.980-989
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• 2023

Objective: Iris pattern recognition system is well developed and practiced in human, however, there is a scarcity of information on application of iris recognition system in animals at the field conditions where the major challenge is to capture a high-quality iris image from a constantly moving non-cooperative animal even when restrained properly. The aim of the study was to validate and identify Black Bengal goat biometrically to improve animal management in its traceability system. Methods: Forty-nine healthy, disease free, 3 months±6 days old female Black Bengal goats were randomly selected at the farmer's field. Eye images were captured from the left eye of an individual goat at 3, 6, 9, and 12 months of age using a specialized camera made for human iris scanning. iGoat software was used for matching the same individual goats at 3, 6, 9, and 12 months of ages. Resnet152V2 deep learning algorithm was further applied on same image sets to predict matching percentages using only captured eye images without extracting their iris features. Results: The matching threshold computed within and between goats was 55%. The accuracies of template matching of goats at 3, 6, 9, and 12 months of ages were recorded as 81.63%, 90.24%, 44.44%, and 16.66%, respectively. As the accuracies of matching the goats at 9 and 12 months of ages were low and below the minimum threshold matching percentage, this process of iris pattern matching was not acceptable. The validation accuracies of resnet152V2 deep learning model were found 82.49%, 92.68%, 77.17%, and 87.76% for identification of goat at 3, 6, 9, and 12 months of ages, respectively after training the model. Conclusion: This study strongly supported that deep learning method using eye images could be used as a signature for biometric identification of an individual goat.

• 한국측량학회지
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• 제40권1호
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• pp.23-30
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• 2022

최근 딥러닝을 이용한 이미지 매팅 방법에 관한 다양한 연구가 진행되고 있다. 특히, 사진측량 분야에서도 고품질의 실감모형을 제작하기 위해서는 촬영된 이미지에서 유물 정보를 추출하는 과정이 필요하며, 이와 같은 과정은 많은 시간과 인력이 들어 기존에는 크로마키를 이용하여 추출하는 방법이 많이 활용되고 있다. 그러나, 기존의 방법은 세부 분류에 대한 정확도가 떨어져 고품질 실감모형에 적용하기에는 어려움이 있었다. 본 연구에서는 사전배경정보와 훈련된 학습데이터를 이용하여 고해상도 유물 이미지에서 배경정보를 제거하고 추출된 유물 이미지에 대하여 정성적, 정량적 결과를 평가하였다. 그 결과 제안된 방법과 FBA(매뉴얼 트라이맵)이 정량적으로 높은 결과를 나타냈으며, 정성적 평가에서도 유물 주변부의 분류도가 높은 정확도를 보였다. 따라서 제안된 방법은 고해상도 유물 이미지 분류에 있어 사전배경정보 취득을 통하여 높은 정확도와 빠른 처리 속도를 나타냈으며, 실내 유물 촬영에서 그 활용 가능성을 확인하였다.

• Journal of Ginseng Research
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• 제47권4호
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• pp.593-603
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• 2023

Background: Korean Red Ginseng is a major source of bioactive substances such as ginsenosides. Efficacy of red ginseng extract (RGE), which contains not only saponins but also various non-saponins, has long been studied. In the water-soluble component-rich fraction of RGE (WS), a byproduct generated in the process of extracting saponins from the RGE, we identified previously unidentified molecules and confirmed their efficacy. Methods: The RGE was prepared and used to produce WS, whose components were isolated sequentially according to their water affinity. The new compounds from WS were fractionized and structurally analyzed using nuclear magnetic resonance spectroscopy. Physiological applicability was evaluated by verifying the antioxidant and anti-inflammatory efficacies of these compounds in vitro. Results: High-performance liquid chromatography confirmed that the obtained WS comprised 11 phenolic acid and flavonoid substances. Among four major compounds from fractions 1-4 (F1-4) of WS, two compounds from F3 and F4 were newly identified in red ginseng. The analysis results show that these compound molecules are member of the maltol-structure-based glucopyranose series, and F1 and F4 are particularly effective for decreasing oxidative stress levels and inhibiting nitric oxide secretion, interleukin (IL)-1β and IL-6, and tumor necrosis factor-α. Conclusion: Our findings suggest that a few newly identified maltol derivatives, such as red ginseng-derived non-saponin in the WS, exhibit antioxidant and anti-inflammatory effects, making them viable candidates for application to pharmaceutical, cosmetic, and functional food materials.

• 한국작물학회:학술대회논문집
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• 한국작물학회 2022년도 추계학술대회
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• pp.294-294
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• 2022

To date, there have been no reports on the cloning and characterization of a gene encoding SQS from Amaranthus, although there have been some reports on methods of extracting and purifying squalene from Amaranthus seeds. In this study, we monitored the expression pattern of the amaranth SQS gene in seeds at different developmental stages and in different tissues. The transcript expression pattern of the SQS gene was investigated using total RNA isolated from seeds at different stages of development. There were low levels of SQS transcripts at the early stage of seed development, and the levels remained low until the middle developmental stage. The expression of SQS increased rapidly to reach a peak at the mid-late developmental stage, and then declined dramatically. This pattern of expression was consistent with the results of RT-PCR analyses. All RNA samples generated a fragment of the expected size (183-bp). The amaranth SQS was expressed at low levels during the initial to middle stages of seed development, and its expression level increased at the mid-late development stage. Also The tissue-specific expression of amaranth SQS was determined by quantifying its mRNA in total RNA isolated from the leaves, petioles, stems, and roots of seedlings at the four- and six-leaf stages. Using qRT-PCR and RT-PCR analysis, we detected amaranth SQS transcripts in some of the tissues at the six-leaf stage, but in none of the tissues from plants at the four-leaf stage. SQS transcripts accumulated in almost equal amounts in stems and roots, while a lower level accumulated in leaves and petioles during seedling development at the four- to six-leaf stages. This study provides useful information about the molecular characterization of the SQS clone isolated from grain amaranth. A basic understanding of these characteristics will contribute to further studies on the amaranth SQS.

• Animal Bioscience
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• 제36권11호
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• pp.1727-1737
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• 2023

Objective: The poultry industry is a primary source of animal protein worldwide. The gut microbiota of poultry birds, such as chickens and ducks, is critical in maintaining their health, growth, and productivity. This study aimed to identify longitudinal changes in the gut microbiota of laying hens from birth to the pre-laying stage. Methods: From a total of 80 Hy-Line Brown laying hens, birds were selected based on weight at equal intervals to collect feces (n = 20 per growth) and ileal contents (n = 10 per growth) for each growth stage (days 10, 21, 58, and 101). The V4 regions of the 16S rRNA gene were amplified after extracting DNA from feces and ileal contents. Amplicon sequencing was performed using Illumina, followed by analysis. Results: Microbial diversity increased with growth stages, regardless of sampling sites. Microbial community analysis indicated that Firmicutes, Proteobacteria, and Bacteroidetes were the dominant phyla in the feces and ileal. The abundance of Lactobacillus was highest on day 10, and that of Escherichia-shigella was higher on day 21 than those at the other stages at the genus level (for the feces and ileal contents; p<0.05). Furthermore, Turicibacter was the most abundant genus after changing feed (for the feces and ileal contents; p<0.05). The fecal Ruminococcus torques and ileal Lysinibacillus were negatively correlated with the body weights of chickens (p<0.05). Conclusion: The gut microbiota of laying hens changes during the four growth stages, and interactions between microbiota and feed may be present. Our findings provide valuable data for understanding the gut microbiota of laying hens at various growth stages and future applied studies.

• 한국컴퓨터정보학회논문지
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• 제29권1호
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• pp.77-84
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• 2024

본 논문에서는 컴퓨터 비전을 사용하여 6가지 측정값(눌린 단자의 길이, 단자 끝의 치수(폭), 눌린부분(와이어 부분, 코어 부분)의 폭)을 계산하여 와이어 하네스의 결함을 정확하고 빠르게 탐지할 것을 제안한다. 두 가지 유형의 데이터에서 Harris 코너 검출을 활용하여 물체의 위치를 탐지하고 측정 영역별 특징과 배경과 물체 사이의 음영 차이를 활용하여 각 샘플의 기울기를 반영하는 측정값을 추출하기 위한 기준점을 생성한다. 이후 유클리드 거리 방법과 보정 계수를 사용하여 예측값을 계산하는 방법을 통해 와이어의 위치 변화에 관계 없이 측정값을 예측할 수 있다. 각 측정 유형별로 99.1%, 98.7%, 92.6%, 92.5%, 99.9%, 99.7% 정확도를 달성하였으며, 모든 측정값에서 평균 97%의 정확도로 우수한 결과를 얻었다. 해당 검사 방법은 기존 검사 방법인 육안 검사의 문제점을 보완하고, 작은 양의 데이터만을 이용하여 우수한 결과를 도출 가능하다. 또한 이미지 처리만 이용하기 때문에 딥러닝 방법보다 더 적은 데이터와 비용으로 적용 가능할 것으로 기대된다.

• PNF and Movement
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• 제22권1호
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• pp.1-11
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• 2024

Purpose: The prevalent use of mobile devices may contribute to musculoskeletal disorders, such as forward head posture (FHP), among users. The measurement of the craniovertebral angle (CVA) using photographic images is frequently employed in assessing FHP. Although manual CVA measurement using photographic images is reliable in clinical settings, computer programs or mobile applications to support tele-physical therapy are not yet fully developed. Therefore, in the current study, we propose an automatic method for extracting CVA from photographic images of FHP subjects to facilitate tele-physical therapy. Methods: To develop the automatic CVA measuring computer program, photographic images were obtained from 10 FHP participants. The location information obtained from the markers attached to the tragus and the spinous process of the seventh cervical vertebra were used as coordinates. Using these coordinates, straight line 1 was generated by connecting the seventh spinous process of the cervical vertebra and the tragus, while straight line 2 was drawn parallel to the coordinate obtained from the seventh spinous process of the cervical vertebra. The arc tangent function was used to calculate the angle between the two straight lines. The automatic CVA measurement computer program utilizing photographic images was developed using MATLAB (ver. 2016b). Results: The results showed that the automatic CVA measurement computer program demonstrated stable repeatability and high accuracy. Conclusion: The proposed approach was able to automatically estimate the CVA using photographic images. The developed computer program can potentially be used for easier and more reliable clinical assessment of FHP.