• Fibers and Polymers
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• 제6권3호
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• pp.263-268
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• 2005

Alpaca fibers have some distinct properties such as softness and warmth, which have not been fully understood in combination with the fiber internal structures. In the present investigation, the internal structures of alpaca fibers have been closely examined under the scanning electron microscope (SEM), especially in the longitudinal direction. The results showed that numerous pigment granules reside loosely inside pockets in brown and dark-brown alpaca fibers. These pigment granules were mainly distributed inside the cortical cells, the medullation regions as well as underneath the cuticles. Their size in the brown alpaca fibers was smaller and more uniformly round than in the dark-brown fibers. These granules in colored alpaca fibers loosen the bundle of cortical cells, providing many crannies in the fibers which may contribute to the superior flexibility, warmth and softness of the fibers. Moreover, there are no heavy metal elements found in the granules. The mordant hydrogen peroxide bleaching employed could eliminate the pigment granules and create many nano-volumes for further dyeing of fibers into more attractive colors.

• Fibers and Polymers
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• 제5권2호
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• pp.128-133
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• 2004

This paper reports the effects of bleaching of alpaca tops and dyeing of bleached alpaca tops/yarns on the quality of tops and yarns. A dark brown alpaca top was bleached with hydrogen peroxide. Two bleaching methods were tried for effectiveness of color removal. A portion of each bleached top was dyed after bleaching. Color parameters were examined for unbleached, bleached and bleached/dyed tops, these tops were then converted into yarns of different twist levels and counts using a worsted spinning system. Some of the bleached yarn from each bleaching method was dyed in a package dye vat to compare the difference of top dyeing versus yarn package dyeing on yarn quality. Fiber diameter, yarn strength, yarn evenness, yarn hairiness and fiber degradation were tested to examine the effects of bleaching and dyeing on these properties at top and yarn stages. A processing route for bleaching and dyeing alpaca fiber was recommended.

• Fibers and Polymers
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• 제4권3호
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• pp.124-128
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• 2003

Dark brown Alpaca fiber was reduced in shade via selective bleaching with peroxide. Two selective oxidative bleaching methods were tested on alpaca top to assess their effectiveness for color removal and fiber quality properties. Color change, bundle strength, weight loss, fiber diameter, surface modification, dye-ability and dye wash fastness were assessed for both methods and compared with the original brown top. Bleach method 1 (BL-I) showed little surface modification, 5.8% weight loss and 2.4% strength loss. D1925 yellowness index was reduced to 74.3 from 83.1 and provided a good base for the dyeing of medium to deep shades. Bleach method 2 (BL-II) displayed considerable surface modification, 7.8% weight loss and 18% strength loss. BL-II also resulted in a mean diameter reduction of 1.9 micron during bleaching. Yellowness was reduced to 64.5 from 83.1 and provided a very good base for the dyeing of medium to deep shades. BL-I showed better exhaustion of the premetallised dye Lanaset Violet B than BL-II. Wash fastness for BL-II was 1 grey scale unit poorer than BL-I. BL-II showed far better color clarity at pale depths however the wash fastness of the finished product was not good enough to maintain the depth or clarity of the color. BL-I showed poorer clarity of color but exhibited better wash fastness results.

• Asian-Australasian Journal of Animal Sciences
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• 제23권4호
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• pp.444-449
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• 2010

The aim of this study was to measure the hair melanins of various colors and to find the relationship between the quantity of melanins and hair color phenotypes in alpacas. According to the Munsell color system, 3 healthy alpacas were selected for each of the 22 different hair color phenotypes (66 alpacas altogether). Alpaca hair was taken from the lateral thoracic region and then dissolved with different solutions to obtain melanins. The values of alkali-soluble melanins (ASM), eumelanin (EM) and pheomelanin (PM) were measured by spectrophotometric assay, and labeled as Sp.ASM, Sp.EM and Sp.PM, respectively. Data were analyzed using SPSS11.5 software. Results showed that average Sp.ASM and Sp.PM were increased as the color deepened from white to black, ranging from 0.500 to 4.543 for Sp.ASM and from 0.268 to 1.457 for Sp.EM. However, average Sp.PM had no such apparent relationship with color. Based on the value of Sp.ASM and EM, 7 hues were produced and gray was a single hue. Most of the data were in a normal distribution (p>0.10). ANOVA analysis showed that mean values of Sp.ASM, Sp.EM and Sp.PM were significantly different (p<0.05). The results also showed that Sp.ASM was positively correlated with Sp.EM but the correlation between Sp.ASM and Sp.PM was not significantly different from 0. It is concluded that EM is the major constituent of alpaca hair melanin; there is a significant correlation among ASM, EM and alpaca hair colors, and EM is the most reliable parameter for distinguishing these groups.

• Fibers and Polymers
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• 제6권3호
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• pp.259-262
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• 2005

Wool and alpaca fibers were coated with polypyrrole by vapor-phase polymerisation method. The changes in frictional and tensile properties of the single fibers upon coating with the conductive polymer are presented. Coating a thin layer of polypyrrole on the alpaca and wool fibers results in a significant reduction in the fiber coefficient of friction, as the conducting polymer layer smooths the protruding edges of the fiber scales. It also reduces the directional friction effect of the fibers. Depending on the type of fiber, the coating may slightly enhance the tensile properties of the coated fibers.

• 한국산업정보학회논문지
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• 제29권3호
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• pp.1-12
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• 2024

본 논문에서는 대규모 한국어 언어모델인 KoAlpaca를 파인튜닝하고 이를 이용한 블로그 텍스트 생성 시스템을 구현하였다. 소셜 미디어 플랫폼의 블로그는 기업 마케팅 수단으로 널리 활용된다. 수집된 협찬 블로그 텍스트의 감정 분석과 정제를 통한 긍정 리뷰의 학습 데이터를 구축하고 KoAlpaca 학습의 경량화를 위한 QLoRA를 적용하였다. QLoRA는 학습에 필요한 메모리 사용량을 크게 줄이는 파인튜닝 접근법으로 파라미터 크기 12.8B 경우의 실험 환경에서 LoRA 대비 최대 약 58.8%의 메모리 사용량 감소를 확인하였다. 파인튜닝 모델의 생성 성능 평가를 위해서 학습 데이터에 포함되지 않은 100개의 입력으로 생성한 텍스트는 사전학습 모델에 비해서 평균적으로 두배 이상의 단어 수를 생성하였으며 긍정 감정의 텍스트 역시 두 배 이상으로 나타났다. 정성적 생성 성능 평가를 위한 설문조사에서 파인튜닝 모델의 생성 결과가 제시된 주제에 더 잘 부합한다는 응답이 평균 77.5%로 나타났다. 이를 통해서 본 논문의 협찬물에 대한 긍정 리뷰 생성 언어모델은 콘텐츠 제작을 위한 시간 관리의 효율성을 높이고 일관된 마케팅 효과를 보장하는 콘텐츠 제작이 가능함을 보였다. 향후 사전학습 모델의 생성 요소에 의해서 긍정 리뷰의 범주에서 벗어나는 생성 결과를 감소시키기 위해서 학습 데이터의 증강을 활용한 파인튜닝을 진행할 예정이다.

• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.163-175
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• 2024

This study conducts topic modeling analysis on four electric scooter sharing platforms: Alpaca, SingSing, Kickgoing, and Beam. Using user review data, the study aims to identify key topics and issues associated with each platform, as well as uncover common themes across platforms. The analysis reveals that users primarily express concerns and preferences related to application usability, service mobility, and parking/accessibility. Additionally, each platform exhibits unique characteristics and challenges. Alpaca users generally appreciate convenience and enjoyment but express concerns about safety and service areas. SingSing faces issues with application functionality, while Kickgoing users encounter connectivity problems and device usability issues. Beam receives overall positive feedback, but users express dissatisfaction with application usability and parking. Based on these findings, scooter sharing service providers should focus on enhancing application features, stability, and expanding service coverage to meet user expectations and improve customer satisfaction. Furthermore, highlighting platform-specific strengths and providing tailored services can enhance competitiveness and foster continuous service growth and development.

• Asian-Australasian Journal of Animal Sciences
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• 제23권4호
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• pp.430-436
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• 2010

The objective of the present studies was to develop and validate a system for isolation, purification and extended culture of pigment-producing cells in alpaca skin (melanocytes) responsible for coat color and to determine the effect of alpha melanocyte stimulating hormone treatment on mRNA expression for the melanocortin 1 receptor, a key gene involved in coat color regulation in other species. Skin punch biopsies were harvested from the dorsal region of 1-3 yr old alpacas and three different enzyme digestion methods were evaluated for effects on yield of viable cells and attachment in vitro. Greatest cell yields and attachment were obtained following dispersion with dispase II relative to trypsin and trypsin-EDTA treatment. Culture of cells in medium supplemented with basic fibroblast growth factor, bovine pituitary extract, hydrocortisone, insulin, 12-O-tetradecanolphorbol-13-acetate and cholera toxin yielded highly pure populations of melanocytes by passage 3 as confirmed by detection of tyrosinase activity and immunocytochemical localization of melanocyte markers including tyrosinase, S-100 and micropthalmia-associated transcription factor. Abundance of mRNA for tyrosinase, a key enzyme in melanocyte pigment production, was maintained through 10 passages showing preservation of melanocyte phenotypic characteristics with extended culture. To determine hormonal responsiveness of cultured melanocytes and investigate regulation of melanocortin 1 receptor expression, cultured melanocytes were treated with increasing concentrations of ${\alpha}$-melanocyte stimulating hormone. Treatment with ${\alpha}$-melanocyte stimulating hormone increased melanocortin receptor 1 mRNA in a dose dependent fashion. The results demonstrated culture of pure populations of alpaca melanocytes to 10 passages and illustrate the potential utility of such cells for studies of intrinsic and extrinsic regulation of genes controlling pigmentation and coat color in fiber-producing species.

• 정보관리학회지
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• 제40권3호
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• pp.77-98
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• 2023

본 연구는 지금까지 제안된 거대언어모델 가운데 LLaMA 및 LLaMA 기반 모델과 같이 연구데이터를 주요 사전학습데이터로 활용한 모델의 데이터 품질에 중점을 두어 현재의 평가 기준을 분석하고 연구데이터의 관점에서 품질 평가 기준을 제안하였다. 이를 위해 데이터 품질 평가 요인 중 유효성, 기능성, 신뢰성을 중심으로 품질 평가를 논의하였으며, 거대언어모델의 특성 및 한계점을 이해하기 위해 LLaMA, Alpaca, Vicuna, ChatGPT 모델을 비교하였다. 현재 광범위하게 활용되는 거대언어모델의 평가 기준을 분석하기 위해 Holistic Evaluation for Language Models를 중심으로 평가 기준을 살펴본 후 한계점을 논의하였다. 이를 바탕으로 본 연구는 연구데이터를 주요 사전학습데이터로 활용한 거대언어모델을 대상으로 한 품질 평가 기준을 제시하고 추후 개발 방향을 논의하였으며, 이는 거대언어모델의 발전 방향을 위한 지식 기반을 제공하는데 의의를 갖는다.

• 정보보호학회논문지
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• 제33권4호
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• pp.661-670
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• 2023

서버리스 컴퓨팅 패러다임의 등장과 함께 클라우드 기술이 발전함에 따라, 서버 관리를 위한 백엔드 인프라의 구조가 온프레미스부터 최신 컨테이너 기반 서버리스 컴퓨팅까지 다변화되고 있다. 그럼에도 불구하고, 서버 관리를 위한 접속방식은 전통적인 SSH 프로토콜에 여전히 의존하고 있으며, 보안성 및 확장성 측면에서의 한계점으로 인해, 사용자의 서버 인프라 관리 편의성 및 업무 생산성을 저하시킨다. 이러한 문제를 해결하기 위해 본 논문에서는 웹쉘을 프록시 기반의 서버 관리 프레임워크에 적용하여 실용성과 보안성을 갖춘 서버 관리체계 설계에 활용하고자 한다. 흔히 해커들이 서버의 취약점을 이용하여 임의 명령을 실행하기 위해 웹쉘을 사용하지만, 본 논문에서는 서버 관리 측면에서의 웹쉘 기술의 활용성에 대해 고찰하고, 웹쉘 기술을 사용한 접속 프록시 기반 서버 관리 프레임워크를 새롭게 제안한다. 또한, 본 논문에서는 실제 구현을 통하여 제안한 프레임워크가 추가적인 오버헤드 없이 표준적인 서버 접속 프로토콜로 사용되어온 SSH의 단점을 보완하고, 현대의 다양화된 컴퓨팅 환경에서도 대규모의 인프라를 효율적으로 운영할 수 있음을 보인다.