The way people interact with machines through flexible acoustic sensors is revolutionizing the we live. However, developing a human-machine interaction sensor that simultaneously offers low cost, high stability, fidelity, and sensitivity remains significant challenge. In this study, based on sound-driven triboelectric nanogenerator was proposed. A poly(vinylidene fluoride) (PVDF)/graphene oxide (GO) composite nanofiber film obtained as dielectric layer electrospinning, copper-nickel alloy...

Traditional displacement sensors and computer vision technologies exhibit significant limitations when measuring multiple targets, including restrictions related to the measurement environment, manual tagging wiring issues associated with sensors. This paper proposes a method for multi-point vibration that integrates bicubic interpolation, sparse optical flow oriented FAST rotated BRIEF (ORB) detection algorithms, addressing aforementioned limitations. The proposed eliminates need tags...

Herein, a vertical contact‐separated triboelectric nanogenerator (TENG) composed of polyvinylidene fluoride (PVDF) and graphene oxide nanosheets (GO) is prepared. The effect GO on PVDF nanofibers analyzed to find the optimal mass fraction GO. morphology, structure, output performance are characterized by field emission scanning electron microscopy, X‐ray diffractometer, Fourier transform infrared spectrometer, digital oscilloscope. results show that PVDF/GO nanofiber films produce voltage...

Recently, video-based person re-identification (re-ID) has drawn increasing attention in compute vision community because of its practical application prospects. Due to the inaccurate detections and pose changes, pedestrian misalignment significantly increases difficulty feature extraction matching. To address this problem, paper, we propose a Reference-Aided Part-Aligned (RAPA) framework disentangle robust features different parts. Firstly, order obtain better references between videos,...

Abstract The objective is to improve the recognition rate of white and near cotton‐coloured impurities in raw cotton against a single visible light source background. A lightweight detection network model without anchor boxes based on improved YOLO v4‐tiny proposed this paper weighted feature fusion (WFF). WFF strategy was used accuracy algorithm. Meanwhile, address disadvantage that obtained by K‐means algorithm clustering do not have global features, anchor‐free tiny decoupled head schemes...

There is a large somatosensory gap between the three-dimensional (3D) printing of clothing and traditional garments due to limitations (e.g., air permeability skin-friendliness) materials. For this reason, application textile materials in 3D has become hot topic field printed clothing. Based on above, work prepared four kinds cotton-containing composite solutions then impregnated thermoplastic polyurethane core yarns these obtain types (3Dp-C-CYs). Afterward, based two-dimensional (2D)...

Velocity estimation of cotton flow is usually used to improve the accuracy foreign fibre elimination machines. A hybrid approach based on image cross-correlation and Kalman filter presented in this paper. Two linear CCD cameras at different locations were capture images synchronously. Afterwards, captured preprocessed segmented by connected region method obtain separated images. Subsequently, registration technology was calculate coordinate transformation parameters. For registration,...

Abstract The high-speed solenoid valve is the core component of cotton foreign fiber machine, and its dynamic response characteristics air flow at inlet outlet are key to determine accuracy strike. In order improve performance under variable working conditions, based on electromagnetic action mechanism valve, parameter analysis model for pressure optimization established in COMSOL. Taking driving voltage as system variables, law rise lag time change obtained. simulation result shows that...

摘要: 针对目前摩擦纳米发电机介电层表面微结构制作方法存在工艺流程复杂,成本高的问题,提出在聚二甲基硅氧烷(PDMS)中掺杂碳纳米管(CNT)提高介电常数,并以砂纸为模板快速在PDMS表面成型微结构,实现微结构CNT/PDMS弹性体膜摩擦纳米发电机介电层的制备。研究不同目数砂纸下PDMS表面微结构、CNT掺杂质量分数及载荷作用对摩擦纳米发电机性能输出的影响,测试发电机输出功率及耐久性。结果表明:表面微结构制作方法可增加介电层表面积提高发电机输出电压及电流,800目砂纸成型微结构时,摩擦纳米发电机输出最大;掺杂CNT可提高介电层电容值,CNT质量分数为1%时,电容值达到最大24.2 pF;制备的摩擦纳米发电机可产生最大瞬时功率密度1.23×10-3W/m3,且经10 000次工作循环,表现出较好的耐久性。

Abstract Textile materials have demonstrated significant potential in sound noise reduction due to their porous, lightweight, and easily processed nature. However, the current experimental setup for measuring absorption of small-sized samples is expensive. Additionally, there a lack suitable equipment flexible textiles as it challenging mount into an impedance tube. This paper presents design, fabrication, testing tubes specifically designed coefficients textile materials. The were based on...

In this study, a methodology for fabricating double‐arch triboelectric and piezoelectric composite nanogenerators using polyvinylidene fluoride (PVDF) graphene oxide (GO) is presented. Initially, nanofiber films comprising PVDF/GO are synthesized through electrostatic spinning. Subsequently, the film integrated with cotton fibers copper electrode to construct layer. contrast, another portion of film, alongside electrode, comprises layer, central acting as common electrode. Finally, structure...

According to the previous management of early warning and risk control methods, efficiency prediction is low, effect not good, disadvantages are very obvious. This paper mainly studies C4.5 algorithm, Apriori algorithm K-means algorithm. On basis association rules, data from above three algorithms fused. fusion results processed data, it builds optimizes model. The used in this model can be regarded as basic rules for mining. experimental show that solve problems control. method applied...

In the process of eliminating foreign fibers by fiber machine, estimating cotton flow velocity can help to improve accuracy machine. Linear CCD cameras at different positions are used collect image synchronously. The overlapping parts two images same time matched through processing algorithm. A measurement method based on SIFT feature matching algorithm is proposed. advantage scale invariant transformation (SIFT) introduced into extraction, which solves problem that it difficult extract...

Recently, unsupervised person re-identification (re-ID) methods based on pseudo-label generation have achieved impressive performance. Due to the lack of pedestrian labels and problem label noise in clustering, huge discrepancies across cameras cause model fail learn discriminative features. In order suppress noise, many schemes try correct feature learning target domain with help labeled source data. However, because gap, discrimination is difficult be transferred directly domain. To...

Recently, video-based person re-identification (re-ID) has drawn increasing attention in compute vision community because of its practical application prospects. Due to the inaccurate detections and pose changes, pedestrian misalignment significantly increases difficulty feature extraction matching. To address this problem, paper, we propose a \textbf{R}eference-\textbf{A}ided \textbf{P}art-\textbf{A}ligned (\textbf{RAPA}) framework disentangle robust features different parts. Firstly, order...