• 복식문화연구
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• 제30권3호
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• pp.331-347
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• 2022

The purpose of this study is to investigate historical and geographical environments in the development of the Naxi costumes of Chinese ethnic minorities and their characteristics-including religious cultures and totem worship-and to suggest the direction of fashion design toward the modernization of traditional costumes. The research methodology involved the collection of materials and investigatation into the history, culture, and characteristics of Naxi costumes; in particular, the "seven-star" sheepskin cape, one of the Naxi people's important ethnic costumes as demonstrated by the women's clothing that has been designed in reflection of this traditional costume. The results are as follows. First, Naxi costumes are found to have overall coherence and distinct locality when retained in the process of modernizing the traditional costume. The theme of this work is titled "By the Light of the Moon and the Stars," which is expressed in contemporary fashion by the use of grey and dark red against a background of black, a color preferred by the Naxi people. Second, the Naxi people's seven-star sheepskin cape is a symbol of women's clothing with its characteristic patterns, shapes, and colors, and it is subject to creative modernization while retaining its unique ethnic characteristics. Third, the work expresses the contemporary stylishness of the costume while maintaining the customary decorative accessories from the Naxi people's traditional culture.

• 한국전기전자재료학회논문지
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• 제35권5호
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• pp.431-438
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• 2022

기능성 소재연구에서 in situ 분석 기법은 외부 자극 (전기장, 자기장, 빛, 등) 또는 주변 환경 (온도, 습도, 압력, 등)과 같이 주어진 자극에 의해 소재의 물리적 특성이 어떻게 활성화/진화되는지 분석하는데 있어서 매우 중요하다. 특히, 전기장 인가에 따른 in situ X-선 회절(XRD) 실험은 다양한 강유전체, 압전체, 전왜 재료의 외부 전기장 인가에 따른 전기-기계적 반응의 기본 원리를 이해하기 위해 광범위하게 활용되었다. 본 튜토리얼 논문에서는 일반 실험실 규모의 XRD 장비를 이용하여 전기장 인가에 따른 in situ XRD 분석의 기본 원리/핵심 개념을 간략하게 소개한다. In situ XRD 측정법은 외부 전기장을 인가하여 구동되는 다양한 전기-기계 재료의 구조적 변형을 체계적으로 식별/모니터링하는 데 매우 유용할 것으로 기대한다.

• 인간식물환경학회지
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• 제24권6호
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• pp.629-638
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• 2021

Background and objective: This study was conducted to develop diameter growth models for thinned Quercus glauca Thunb. (QGT) stands to inform production goals for treatment and provide the information necessary for the systematic management of this stands. Methods: This study was conducted on QGT stands, of which initial thinning was completed in 2013 to develop a treatment system. To analyze the tree growth and trait response for each thinning treatment, forestry surveys were conducted in 2014 and 2021, and a one-way analysis of variance (ANOVA) was executed. In addition, non-linear least squares regression of the PROC NLIN procedure was used to develop an optimal diameter growth model. Results: Based on growth and trait analyses, the height and height-to-diameter (H/D) ratio were not different according to treatment plot (p > .05). For the diameter of basal height (DBH), the heavy thinning (HT) treatment plot was significantly larger than the control plot (p < .05). As a result of the development of diameter growth models by treatment plot, the mean squared error (MSE) of the Gompertz polymorphic equation (control: 2.2381, light thinning: 0.8478, and heavy thinning: 0.8679) was the lowest in all treatment plots, and the Shapiro-Wilk statistic was found to follow a normal distribution (p > .95), so it was selected as an equation fit for the diameter growth model. Conclusion: The findings of this study provide basic data for the systematic management of Quercus glauca Thunb. stands. It is necessary to construct permanent sample plots (PSP) that consider stand status, location conditions, and climatic environments.

• 한국해양공학회지
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• 제36권1호
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• pp.32-40
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• 2022

Underwater optical images face various limitations that degrade the image quality compared with optical images taken in our atmosphere. Attenuation according to the wavelength of light and reflection by very small floating objects cause low contrast, blurry clarity, and color degradation in underwater images. We constructed an image data of the Korean sea and enhanced it by learning the characteristics of underwater images using the deep learning techniques of CycleGAN (cycle-consistent adversarial network), UGAN (underwater GAN), FUnIE-GAN (fast underwater image enhancement GAN). In addition, the underwater optical image was enhanced using the image processing technique of Image Fusion. For a quantitative performance comparison, UIQM (underwater image quality measure), which evaluates the performance of the enhancement in terms of colorfulness, sharpness, and contrast, and UCIQE (underwater color image quality evaluation), which evaluates the performance in terms of chroma, luminance, and saturation were calculated. For 100 underwater images taken in Korean seas, the average UIQMs of CycleGAN, UGAN, and FUnIE-GAN were 3.91, 3.42, and 2.66, respectively, and the average UCIQEs were measured to be 29.9, 26.77, and 22.88, respectively. The average UIQM and UCIQE of Image Fusion were 3.63 and 23.59, respectively. CycleGAN and UGAN qualitatively and quantitatively improved the image quality in various underwater environments, and FUnIE-GAN had performance differences depending on the underwater environment. Image Fusion showed good performance in terms of color correction and sharpness enhancement. It is expected that this method can be used for monitoring underwater works and the autonomous operation of unmanned vehicles by improving the visibility of underwater situations more accurately.

• 한국산업융합학회 논문집
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• 제25권6_3호
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• pp.1147-1154
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• 2022

Now that the development of autonomous driving is progressing, LiDAR has become an indispensable element. However, LiDAR is a device that uses lasers, and laser side effects may occur. One of them is the much-talked-about eye-safety, and developers have been satisfying this through laser characteristics and operation methods. But eye-safety is just one of the problems lasers pose. For example, irradiating a laser with a specific energy level or higher in a dusty environment can cause deterioration of the dust particles, leading to a sudden explosion. For this reason, the dust ignition proof regulations clearly state that "a source with a pulse period of less than 5 seconds is considered a continuous light source, and the average energy does not exceed 5 mJ/mm 2 or 35 mW" [2]. Energy of output optical power is limited by the law. In this way, the manufacturer cannot define the usage environment of the LiDAR, and the development of a LiDAR that can be used in such an environment can increase the ripple effect in terms of use in application fields using the LiDAR. In this paper, we develop a LiDAR with low optical power that can be used in environments where high power lasers can cause problems, evaluate its performance. Also, we discuss and present one of the directions for the development of LiDAR with laser power limited by dust ignition proof regulations.

• 천문학회보
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• 제46권2호
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• pp.40.3-41
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• 2021

Minor mergers leave behind long lived, but extremely faint and extended tidal features including tails, streams, loops and plumes. These act as a fossil record for the host galaxy's past interactions, allowing us to infer recent accretion histories and place constraints on the properties and nature of a galaxy's dark matter halo. However, shallow imaging or small homogeneous samples of past surveys have resulted in weak observational constraints on the role of galaxy mergers and interactions in galaxy assembly. The Rubin Observatory, which is optimised to deliver fast, wide field-of-view imaging, will enable deep and unbiased observations over the 18,000 square degrees of the Legacy Survey of Space and Time (LSST), resulting in samples of potentially of millions of objects undergoing tidal interactions. Using realistic mock images produced with state-of-the-art cosmological simulations we perform a comprehensive theoretical investigation of the extended diffuse light around galaxies and galaxy groups down to low stellar mass densities. We consider the nature, frequency and visibility of tidal features and debris across a range of environments and stellar masses as well as their reliability as an indicator of galaxy accretion histories. We consider how observational biases such as projection effects, the point-spread-function and survey depth may effect the proper characterisation and measurement of tidal features, finding that LSST will be capable of recovering much of the flux found in the outskirts of L* galaxies at redshifts beyond local volume. In our simulated sample, tidal features are ubiquitous In L* galaxies and remain common even at significantly lower masses (M*>10^10 Msun). The fraction of stellar mass found in tidal features increases towards higher masses, rising to 5-10% for the most massive objects in our sample (M*~10^11.5 Msun). Such objects frequently exhibit many distinct tidal features often with complex morphologies, becoming increasingly numerous with increased depth. The interpretation and characterisation of such features can vary significantly with orientation and imaging depth. Our findings demonstrate the importance of accounting for the biases that arise from projection effects and surface-brightness limits and suggest that, even after the LSST is complete, much of the discovery space in low surface-brightness Universe will remain to be explored.

• 스마트미디어저널
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• 제12권10호
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• pp.19-28
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• 2023

과실 수확 분야에서 다양한 계절성과 수확 비용 상승 등으로 자동 로봇 수확에 대한 관심이 증가하고 있다. 빛의 변화, 바람에 의한 진동, 나뭇잎 및 가지 겹침 등 복잡한 과수원 환경에서 정확한 사과 검출은 어려운 문제이다. 본 논문에서는 로봇 자동 사과 수확에 유리한 데이터셋과 적응형 히트맵 회귀 모델을 소개한다. 사과 데이터셋은 사과 위치뿐만 아니라 가시성을 같이 레이블링하였다. 가시성에 따라 가우시안 모양을 조절하는 적응형 히트맵 회귀 모델을 사용하여 사과 중심점을 검출하는 방법을 제안한다. 실험 결과 MAP@K가 K=5와 K=10일 때 0.9809, 0.9801로 사과 수확 로봇에 응용 가능한 성능을 나타내었다.

• ALGAE
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• 제38권4호
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• pp.241-252
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• 2023

The genera Carolibrandtia and Chlorella have been described as small green algae with spherical cell shapes that inhabit various environments. Species of these genera are often difficult to identify because of their simple morphology and high phenotypic plasticity. We investigated two small coccoid strains from Antarctica based on morphology, molecular phylogeny by two alignment methods which have been applied to previous phylogenetic studies of the genus Chlorella, and comparison of the secondary structures of nuclear small subunit (SSU) and internal transcribed spacer (ITS) rDNA sequences. Light microscopy of two strains revealed spherical cells containing chloroplasts with pyrenoids, and the morphological characteristics of the strains were nearly identical to those of other Chlorella species. However, based on the phylogenetic analyses of nuclear SSU and ITS rDNA sequences, it was determined that the Antarctic microalgal strains belonged to two genera, as the Chlorella and Carolibrandtia. In addition, the secondary structures of the SSU and ITS2 sequences were analyzed to detect compensatory base changes (CBCs) that were used to identify and describe the two strains. A unique CBC in the SSU rDNA gene was decisive for distinguishing strain CCAP 211/45. The ITS2 rDNA sequences for each strain were compared to those obtained previously from other closely related species. Following the comparison of morphological and molecular characteristics, we propose KSF0092 as a new species, Chlorella terrestris sp. nov., and the reassignment of the strain Chlorella antarctica CCAP 211/45 into Carolibrandtia antarctica comb. nov.

• Animal Bioscience
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• 제37권4호
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• pp.576-590
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• 2024

Objective: The objective of this study was to identify genes associated with 305-day milk yield (MY) and fat yield (FY) that also influence the adaptability of the Thai multibreed dairy cattle population to tropical conditions. Methods: A total of 75,776 imputed and actual single nucleotide polymorphisms (SNPs) from 2,661 animals were used to identify genomic regions associated with MY and FY using the single-step genomic best linear unbiased predictions. Fixed effects included herd-year-season, breed regression, heterosis regression and calving age regression effects. Random effects were animal additive genetic and residual. Individual SNPs with a p-value smaller than 0.05 were selected for gene mapping, function analysis, and quantitative trait loci (QTL) annotation analysis. Results: A substantial number of QTLs associated with MY (9,334) and FY (8,977) were identified by integrating SNP genotypes and QTL annotations. Notably, we discovered 17 annotated QTLs within the health and exterior QTL classes, corresponding to nine unique genes. Among these genes, Rho GTPase activating protein 15 (ARHGAP15) and catenin alpha 2 (CTNNA2) have previously been linked to physiological traits associated with tropical adaptation in various cattle breeds. Interestingly, these two genes also showed signs of positive selection, indicating their potential role in conferring tolerance to trypanosomiasis, a prevalent tropical disease. Conclusion: Our findings provide valuable insights into the genetic basis of MY and FY in the Thai multibreed dairy cattle population, shedding light on the underlying mechanisms of tropical adaptation. The identified genes represent promising targets for future breeding strategies aimed at improving milk and fat production while ensuring resilience to tropical challenges. This study significantly contributes to our understanding of the genetic factors influencing milk production and adaptability in dairy cattle, facilitating the development of sustainable genetic selection strategies and breeding programs in tropical environments.

• 한국국방기술학회 논문지
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• 제5권4호
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• pp.16-21
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• 2023

세계적으로 지뢰의 수는 감소하는 추세이지만, 과거에 묻힌 지뢰로 인한 피해는 계속되고 있다. 이에따라 본 연구는 지뢰탐지 장비의 개선과 미래 군인 수의 감소 등으로 인해 발생할 수 있는 문제점, 제한사항에 대한 해결방안을 생각하였다. 현재 지뢰탐지기들에는 데이터 저장 기능이 탑재되어 있지 않아 연구 등을 위한 데이터 구축에 제한사항이 있다. 그리고 실제 환경에서 데이터 구축은 많은 시간과 인력이 들어가게된다. 그래서 본 연구에서는 gprMax 시뮬레이션을 활용하여 데이터를 생성하고, CNN 기반의 경량 모델인 MobileNet을 학습시켰고, 실제 데이터로 검증한 결과 97.35%의 높은 식별율을 볼 수 있었다. 그러므로 딥러닝, 시뮬레이션 등의 기술이 지리탐지 장비 등에 접목되는 가능성을 보고, 미래 발생할 수 있을 문제점을 어느정도 해소하고 우리군이 미래 과학기술군이 되기위한 무기체계 발전의 발판이 되길 기대한다.