• Title/Summary/Keyword: Yarn

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Development of Tension Control Device for Yarn (방사장력 제어장치의 개발)

  • 양승현;이석원
    • Proceedings of the KAIS Fall Conference
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    • 2001.11a
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    • pp.166-168
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    • 2001

  • 본 연구에서는 현재 직조 산업현장에서 전량 수입에 의존하고 있는 장력제어장치를 국산화할 목적으로 주변조건에 관계없이 정확하게 실의 장력과 실의 끊어짐을 감지할 수 있는 센서장치를 개발하고, 생산 제품의 조직 구성이 균일하게 이루어지도록 실의 공급속도에 따라서 일정한 장력을 유지시켜주는 제어 장치를 구성한다.

Sequential Pattern Mining for Intrusion Detection System with Feature Selection on Big Data

  • Fidalcastro, A;Baburaj, E
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.11 no.10
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    • pp.5023-5038
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    • 2017

  • Big data is an emerging technology which deals with wide range of data sets with sizes beyond the ability to work with software tools which is commonly used for processing of data. When we consider a huge network, we have to process a large amount of network information generated, which consists of both normal and abnormal activity logs in large volume of multi-dimensional data. Intrusion Detection System (IDS) is required to monitor the network and to detect the malicious nodes and activities in the network. Massive amount of data makes it difficult to detect threats and attacks. Sequential Pattern mining may be used to identify the patterns of malicious activities which have been an emerging popular trend due to the consideration of quantities, profits and time orders of item. Here we propose a sequential pattern mining algorithm with fuzzy logic feature selection and fuzzy weighted support for huge volumes of network logs to be implemented in Apache Hadoop YARN, which solves the problem of speed and time constraints. Fuzzy logic feature selection selects important features from the feature set. Fuzzy weighted supports provide weights to the inputs and avoid multiple scans. In our simulation we use the attack log from NS-2 MANET environment and compare the proposed algorithm with the state-of-the-art sequential Pattern Mining algorithm, SPADE and Support Vector Machine with Hadoop environment.

  • https://doi.org/10.3837/tiis.2017.10.018 인용 PDF KSCI

Effect of degumming on structure and mechanical properties of silk textile made with silk/polyurethane core-spun yarn

  • Bae, Yeon Su;Kim, Chun Woo;Bae, Do Gyu;Um, In Chul
    • International Journal of Industrial Entomology and Biomaterials
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    • v.33 no.2
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    • pp.132-137
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    • 2016

  • Although silk textile shows excellent performance when used in clothing over a long period, its limited elongation and elasticity have restricted its extension to other textile and non-textile applications. In the present study, silk textile was produced using silk/polyurethane core-spun yarn and degummed to enhance its elongation and elasticity. The effects of degumming on the structure and mechanical properties of the silk textile were examined. Scanning electron microscopy observation revealed that the silk filaments became finer and more flexible with degumming, resulting in increased tangling of weft yarns and a highly shrunk textile structure in the weft direction. Although the strength of the degummed silk textile was decreased, its elongation greatly increased by 383% (a 16-fold increase) because of the degumming treatment. In particular, the elasticity of the silk textile was greatly improved. The silk textile exhibited ~30% reduction in the elongation after the second extension; however, the elongation almost did not change after 18 additional extension-recovery tests.

  • https://doi.org/10.7852/ijie.2016.33.2.132 인용 PDF KSCI