The development of multifunctional intelligent textiles has become an important innovation direction in the field of textile engineering, under the dual demands of intelligent health monitoring and environmental prote...The development of multifunctional intelligent textiles has become an important innovation direction in the field of textile engineering, under the dual demands of intelligent health monitoring and environmental protection. Although singlefunctional textiles with antibacterial, photochromic, and strain-sensing properties have been developed, they are unable to meet the demand for multifunctional textiles. In this respect, this study developed a poly(lactic acid) and poly(3-hydroxybutyrate)/thermoplastic polyurethane/carbon black nanoparticle composite nanofiber yarn(PPTCY) with a hollow-core-sheath structure using a simple conjugate electrospinning technology. PPTCY possessed excellent mechanical strength and could be effectively woven. More importantly, it not only enabled real-time visual monitoring of ultraviolet(UV) intensity in the environment but also possessed excellent antibacterial properties and strain-sensing performance. Its ΔE value was up to 58.24, and its antibacterial rates against Escherichia coli and Staphylococcus aureus were both 99.99%. This fabric had excellent strainsensing performance, high linearity, and durability under both pressure and stretching deformations. This research provides favorable technical support for the application of intelligent textiles in the field of UV protection and traffic safety.展开更多
During the sizing process,yarn congestion fault occurs at the reed teeth of a sizing machine.At present,the yarn congestion fault is generally handled by manual detection.The sizing production line operates on a large...During the sizing process,yarn congestion fault occurs at the reed teeth of a sizing machine.At present,the yarn congestion fault is generally handled by manual detection.The sizing production line operates on a large scale and runs continuously.Untimely handling of the yarn congestion fault causes a large amount of yarn waste.In this research,a machine vision-based algorithm for yarn congestion fault detection is developed.Through the analysis of the congestion fault and interference contour characteristics,the basic idea of image phase subtraction to identify the congestion fault is determined.To address the interference information appearing after image phase subtraction,the image pre-processing methods of Canny edge extraction and mean filtering are employed.According to the fault size and location characteristics,the fault contour detection algorithm based on inter-frame difference is designed.To mitigate the camera vibration interference,the anti-vibration interference algorithm based on affine transformation is studied,and the fault detection algorithm for the total yarn congestion fault is determined.The detection of 20 sets of field data is carried out,and the detection rate reaches 90%.This fault detection algorithm realizes the automatic detection of yarn congestion fault of sizing machine with certain real-time performance and accuracy.展开更多
为了解决生物信息学中基因多序列比对的计算速度慢和软件陈旧的问题,提出了基于Yarn(Yet Another Resource Negotiator)云平台的生物基因多序列比对并行计算方法Yarn_clustalW。分析了clustalW算法的数学模型及其面向MapReduce的任务划...为了解决生物信息学中基因多序列比对的计算速度慢和软件陈旧的问题,提出了基于Yarn(Yet Another Resource Negotiator)云平台的生物基因多序列比对并行计算方法Yarn_clustalW。分析了clustalW算法的数学模型及其面向MapReduce的任务划分方式,Yarn_clustalW中综合考虑了基因的长度和数目,采用一种基于阈值刻度的任务划分方式。利用NCBI的GenBank生物基因数据作为案例程序进行了测试。实验结果表明:Yarn_clustalW比起多序列比对clustalW串行计算方法具有更快的运行时间与加速比,可以使生物科研人员节省很多时间与精力,方便对于药物靶标的发现,缩短生物药物的开发周期。展开更多
基金supported by the Science and Technology Guidance Project of China National Textile and Apparel Council (Grant No.2024033)the Jiangsu Provincial Key Research and Development Program (Grant No.BE2019045)。
文摘The development of multifunctional intelligent textiles has become an important innovation direction in the field of textile engineering, under the dual demands of intelligent health monitoring and environmental protection. Although singlefunctional textiles with antibacterial, photochromic, and strain-sensing properties have been developed, they are unable to meet the demand for multifunctional textiles. In this respect, this study developed a poly(lactic acid) and poly(3-hydroxybutyrate)/thermoplastic polyurethane/carbon black nanoparticle composite nanofiber yarn(PPTCY) with a hollow-core-sheath structure using a simple conjugate electrospinning technology. PPTCY possessed excellent mechanical strength and could be effectively woven. More importantly, it not only enabled real-time visual monitoring of ultraviolet(UV) intensity in the environment but also possessed excellent antibacterial properties and strain-sensing performance. Its ΔE value was up to 58.24, and its antibacterial rates against Escherichia coli and Staphylococcus aureus were both 99.99%. This fabric had excellent strainsensing performance, high linearity, and durability under both pressure and stretching deformations. This research provides favorable technical support for the application of intelligent textiles in the field of UV protection and traffic safety.
基金National Key Research and Development Program of China(No.2017YFB1304001)。
文摘During the sizing process,yarn congestion fault occurs at the reed teeth of a sizing machine.At present,the yarn congestion fault is generally handled by manual detection.The sizing production line operates on a large scale and runs continuously.Untimely handling of the yarn congestion fault causes a large amount of yarn waste.In this research,a machine vision-based algorithm for yarn congestion fault detection is developed.Through the analysis of the congestion fault and interference contour characteristics,the basic idea of image phase subtraction to identify the congestion fault is determined.To address the interference information appearing after image phase subtraction,the image pre-processing methods of Canny edge extraction and mean filtering are employed.According to the fault size and location characteristics,the fault contour detection algorithm based on inter-frame difference is designed.To mitigate the camera vibration interference,the anti-vibration interference algorithm based on affine transformation is studied,and the fault detection algorithm for the total yarn congestion fault is determined.The detection of 20 sets of field data is carried out,and the detection rate reaches 90%.This fault detection algorithm realizes the automatic detection of yarn congestion fault of sizing machine with certain real-time performance and accuracy.
文摘为了解决生物信息学中基因多序列比对的计算速度慢和软件陈旧的问题,提出了基于Yarn(Yet Another Resource Negotiator)云平台的生物基因多序列比对并行计算方法Yarn_clustalW。分析了clustalW算法的数学模型及其面向MapReduce的任务划分方式,Yarn_clustalW中综合考虑了基因的长度和数目,采用一种基于阈值刻度的任务划分方式。利用NCBI的GenBank生物基因数据作为案例程序进行了测试。实验结果表明:Yarn_clustalW比起多序列比对clustalW串行计算方法具有更快的运行时间与加速比,可以使生物科研人员节省很多时间与精力,方便对于药物靶标的发现,缩短生物药物的开发周期。
