• 대한본초학회지
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• 제22권2호
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• pp.109-114
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• 2007

Objectives : A morphological classification among Sinomenium acutum, Cocculus trilobus and Aristolochia fangchi was made through microscopic observation. Method : The slice of the tested material made by paraffin section technique was colored with Safranine Malachite Green contrast methods, and then observed and photographed by olymphus-BHT. Result : 1. Fiber bundles of pericycle in S. acutum are like a crescent moon, stone cells were found among fiber bundles, and starch grain and raphides of calcium oxalate were included in parenchyma. 2. C. trilobus has the fiber bundle of pericycle resembling a crescent moon, but does not have the raphidesof calcium oxalate. 3. A. fangchi has the raphides of calcium oxalate, but does not have the fiber bundles of pericycle. 4. Stems and roots of S. acutum arc mostly similar, but only stems have the pith. Conclusion :' C. trilobus and A. fangchi can be distinguished from each other by the fiber bundles of pericycle and the raphides of calcium oxalate.

• 한국의류학회지
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• 제22권6호
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• pp.772-780
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• 1998

The purpose of this research was to investigate the fiber content of and the characteristics of non-fibrous matters within the textiles exhumed from Keumreung-Ri, Pajoo of Kyunggi-do. Various microscopic methods' and the IR spectroscopy were used for the identification of fibers. The KS K 0251 Test Method as well as the IR spectroscopy and the SEM were used for the analysis of econ-fibrous matters. Fiber identification showed that each of the Pajoo samples were composed either of silk, cotton, or ramie. The results of the analysis of non-fibrous matters were as follows. The amount of water-extracted compound exceeded that of chloroform-extracted compound in both Pajoo 2 and Pajoo 5 samples. In Pajoo 5 sample which have already been dry cleaned using the mixed solution of n-hexane and n-dacane, the amount of chloroform extracted compound was 0% of the total extracted matter. The enzyme and HCI disintegration steps further removed the soils those were nonsoluble in water or chloroform. The most extraction was achieved at the HCI extraction stage.

• 대한본초학회지
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• 제30권4호
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• pp.65-69
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• 2015

Objectives : The root ofCyanchum wifordii(CW) had been used as herbal medicine, 'Baeksuo', in Korea. However, the root ofCynanchum auriculatum(CA) had also been mis-used as 'Baeksuo' in herbal markets, due to its morphological similarity with CW. This study aimed to compare discriminative features and establish the identification-keys between two herbal medicines using microscopic methods.Methods : Microscopic preparations including fixation, rapid dehydration, paraffin infiltration, paraffin embedding, sectioning, mounting, and staining, were performed and the microscopic features between CW and CA samples were compared.Results : The starch grain of parenchymal cells, the amounts of calcium oxalate crystals, cell sizes, and the shape of phloem were not different between CW and CA samples. However, the clusters of stone cells which were conglomerated at outer cortex were apparently observed in CA sample (4~8 layers of stone cells), but not in CW sample (2~4 layers of stone cells, or not). Xylem of CW consisted of several vessels and fiber bundles which were formed as linear shapes and discontinuous radial lines, while that of CA, in which radial lines was not observed, were shaped as a wedge and scattered near cambium with comparatively few fiber bundles enclosed vessels. Especially, in the xylem of CA, fiber bundles located towards cambium were relatively more developed than those located outward cambium.Conclusions : The identification-keys established in this study would be helpful to discriminate microscopic features between CW and CA.

• Steel and Composite Structures
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• 제22권1호
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• pp.13-24
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• 2016

In the present paper, glass fibers are substituted partially with monofilament fishnet and polyester matrix for making the composites. The composite specimens were prepared in accordance with ASTM for analyzing the flexural strength and dynamic mechanical properties. Furthermore, machinability revealed the interaction of glass fiber and partial substituted monofilament fishnet fiber with the matrix. Fiber pullouts on the fractured specimen during the physical testing of the composites are also investigated by COSLAB microscope. The results reveal that the fishnet based composites have appreciably higher flexural properties. Furthermore, the glass fiber, woven roving and fishnet composite has more storage modulus and significant mechanical damping. The composite specimens were fabricated by hand lay-up method. Hence, these composites are the possible applications to develop the value added products. The results of this study are presented.

• 한국식품조리과학회지
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• 제19권1호
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• pp.79-82
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• 2003

Volatile compounds in Elsholtzia splendens were extracted by solid phase microextraction (SPME). Two kinds of SPME fiber, carboxen/polydimethylsiloxane (CAR/PDMS) and polydimethylsiloxane (PDMS) were used to determine the selectivity of the fibers to the different flavor compounds present in the Elsholtzia splendens. Identification of volatile compounds was based on the linear retention indices (RI) and the comparison of their mass spectra with those of on-computer library. Thirty compounds were identified in the volatile compounds extracted by CAR/PDMS fiber, including 1 aldehyde, 5 alcohols, 3 hydrocarbons, 17 terpene hydrocarbons, 3 ketones and 1 miscellaneous. And 5 alcohols, 3 hydrocarbons, 18 terpene hydrocarbons, 3 ketones and 2 miscellaneouses were identified in PDMS fiber. These results suggested that the selectivity of PDMS fiber was similar to that of CAR/PDMS fiber in Elsholtzia splendens. The major volatile compounds were naginataketone and elsholtziaketone in Elsholtzia splendens.

• 보존과학회지
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• 제7권2호
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• pp.54-59
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• 1998

경기도 박물관에서 소장하고 있는 상복의 용도를 의복의 형태와 FT-IR 분광법에 의한 비섬유질 추출물의 분석으로 조사하였으며, 상복에 사용된 섬유의 감별을 위해서 현미경법, 용해법, 정색법을 적용하였다. 음이온계 세제인 LAS 계 세제를 사용하여 습식세척 후, 전자주사현미경으로 섬유표면에서의 세척 효과를 살펴보았다. 이상의 연구에서 다음과 같은 결론을 얻었다. 의복의 형태와 비섬유질추출성분 분석 결과 수의가 아니라 상복임이 확인되었다. 비섬유질 추출성분들은 탄화수소계, 알킬 알콜, 알데히드로 수의에서 발견될 가능성이 높은 지방산과 질소화합물들이 전혀 검출되지 않았다. 섬유 감별 결과 섬유의 종류는 삼베였다. 세척후의 섬유 표면이 세척 이전의 섬유표면에 비해서 매끄럽고 이물질의 부착이 거의 없는 것으로 보아 세척 효과는 높았음을 알 수 있었다.

• Food Science and Biotechnology
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• 제16권3호
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• pp.337-342
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• 2007

Conventional methods for pathogen detection and identification are labor-intensive and take days to complete. Biosensors have shown great potential for the rapid detection of foodborne pathogens. Fiber-optic biosensors have been used to rapidly detect pathogens because they can be very sensitive and are simple to operate. However, many fiber-optic biosensors rely on manual sensor handling and the sandwich assay, which require more effort and are less sensitive. To increase the simplicity of operation and detection sensitivity, a binding inhibition assay method for detecting Listeria monocytogenes in food samples was developed using an automated, fiber-optic-based immunosensor: RAPTOR (Research International, Monroe, WA, USA). For the assay, fiber-optic biosensors were developed by the immobilization of Listeria antibodies on polystyrene fiber waveguides through a biotin-avidin reaction. Developed fiber-optic biosensors were incorporated into the RAPTOR to evaluate the detection of L. monocytogenes in frankfurter samples. The binding inhibition method combined with RAPTOR was sensitive enough to detect L. monocytogenes ($5.4{\times}10^7\;CFU/mL$) in a frankfurter sample.

• 대한전기학회논문지:전기물성ㆍ응용부문C
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• 제49권12호
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• pp.691-697
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• 2000

A fiberoptic sensor using a low-coherence SLD as a light source has been studied. The sensor system employing an intrinsic fiber Fabry-Peort interferometer as a sensing tip and a fiber Mach-Zehnder interferometer as a processing one, overcomes the ambiguous reading caused by the highly periodic natrue of conventional high-precision interferometric sensors and provides unambiguous identification of the desired phase among several candidates on the transfer function of an interferometric signal. A tentative application to the temperature sensor shows the potential that the fiberoptic sensor has a side-dynamic range of $0-900^{\circ}C$ as well as reasonable resolution higher than $0.1^{\circ}C$ without ambiguity. Due to the inherent property of the optical fiber itself and the intrinsic fiber Fabry-Perot interferometer, the proposed fiberoptic sensor will give obvious benefits when it is applied to harsh environments to monitor some physical parameters such as temperature, strain, pressure and vibration.

• 대한가정학회지
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• 제19권2호
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• pp.135-141
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• 1981

This study was conducted to survey the end-use properties of the commercial men's socks. Date were obtained from 16 samples of men's socks gathered from department store, markets, specialty chain and variety store in street. Stretchness, performance of rib top, fiber contents, strength (abrasion and bursting), pilling properties and color fastness of socks tested in this study were as follows. 1. Stretchness of socks was sufficient but elongation of rib top was insufficient, therefore these facts are getting to become problem to consumers. 2. Fiber contents of samples were not in accord with the labelled item and criteria of Textile Fiber Product Identification Act. 3. Strength and pilling properties were vaious in according to fiber contents of socks. Socks blended of synthetic fibers were superior to that pure natural fibers in strength but not in pilling. 4. Color fastness to perspiration and rubbing were sufficient on the whole, but fastness to laundering in stain were very insufficient.

• Current Optics and Photonics
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• 제7권5호
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• pp.511-517
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• 2023

Pipelines play an important role in urban water supply and drainage, oil and gas transmission, etc. This paper presents a technique for pattern recognition of fiber optic vibration signals collected by a distributed vibration sensing (DVS) system using a deep learning residual network (ResNet). The optical fiber is laid on the pipeline, and the signal is collected by the DVS system and converted into a 64 × 64 single-channel grayscale image. The grayscale image is input into the ResNet to extract features, and finally the K-nearest-neighbors (KNN) algorithm is used to achieve the classification and recognition of pipeline damage.