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폴리에틸렌테레프탈레이트와 나일론 6 알로이 섬유의 구조와 성질(II) -알로이 섬유의 제조와 물성 분석-
민병길,임목근,이광상,유영출,한재성,Min, Byung Gil,Lim, Mok Keun,Lee, Kwang Sang,Yu, Yeong-Chool,Han, Jae Sung 한국섬유공학회 2014 한국섬유공학회지 Vol.51 No.5
The preparation of polymer alloys from immiscible blends of poly(ethylene terephthalate) (PET) and nylon 6 was investigated using epoxy as a reactive compatibilizer during melt compounding. The domain size of nylon 6 in the PET matrix could be controlled to the submicron level by addition of 0.5-2.0 wt% epoxy to the blends. Melt spinning of the alloys were successfully performed in a pilot scale. The alloy fibers containing 5-10 wt% nylon 6 exhibited reasonable mechanical properties, with up to 3 g/d tenacity and 35% elongation. Moreover, the alloy fibers showed improved moisture absorption properties compared with that of neat PET fibers.
생리적 신호를 이용한 통증 인식을 위한 딥 러닝 네트워크
( Kim Ngan Phan ),이귀상 ( Guee-sang Lee ),양형정 ( Hyung-jeong Yang ),김수형 ( Soo-hyung Kim ) 한국정보처리학회 2021 한국정보처리학회 학술대회논문집 Vol.28 No.2
Pain is an unpleasant experience for the patient. The recognition and assessment of pain help tailor the treatment to the patient, and they are also challenging in the medical. In this paper, we propose an approach for pain recognition through a deep neural network applied to pre-processed physiological. The proposed approach applies the idea of shortcut connections to concatenate the spatial information of a convolutional neural network and the temporal information of a recurrent neural network. In addition, our proposed approach applies the attention mechanism and achieves competitive performance on the BioVid Heat Pain dataset.