Results 31 to 40 of about 3,735 (251)

Classification of "fabrics hairiness" [PDF]

, 2008
katedra: KTM; přílohy: 1 DVD ROM; rozsah: 44 s., 15 s. obr. přílohVlastnosti povrchu patří mezi charakteristiky, pomocí kterých se hodnotí kvalita plošných textilií.
Tichá, Iva
core   +1 more source

A new species of Parasopubia (Orobanchaceae) from the southern Western Ghats, India

Anales del Jardín Botánico de Madrid, 2021
Parasopubia raghavendrae, a new species of Orobanchaceae is described from the southern Western Ghats of Kerala. It resembles P. delphinifolia and P. hofmannii var.
Divya Korappara Venugopal, Santhosh Nampy, Ayilliath Kuttiyeri Pradeep, Dani Francis, Vishnu Mohan, Syam Radh Sasi   +5 more
doaj   +1 more source

Yarn hairiness characterization using two orthogonal directions [PDF]

, 2009
We demonstrate that one can adequately characterize Yarn hairiness by imaging the yarn along a single projection direction using coherent optical processing.
Carvalho, Vítor, Cardoso, Paulo, Belsley, M., Vasconcelos, Rosa, Soares, Filomena   +4 more
core   +1 more source

Bioengineered Interfaces for Peripheral Nerve Sensory Restoration

Advanced Materials, EarlyView.
Half of amputees abandon their prosthetics for lack of feeling. This review charts the full path from peripheral nerve injury to restored sensation, through surgical, regenerative, noninvasive, and implanted approaches, and shows how injury type and interface material properties determine which strategy can deliver naturalistic feedback, and why ...
Sydney Swedick, Salim El Hadwe, Kesi Liang, George G. Malliaras, Damiano G. Barone   +4 more
wiley   +1 more source

Evenness and hairiness measurement of chenille yarn based on an improved pixel difference convolution for the pixel difference network

Journal of Engineered Fibers and Fabrics
To address the challenge of quality measurement in fancy yarns, an improved Pixel Difference Convolution (PDC) for the Pixel Difference Network (PiDiNet) is proposed for measuring the evenness and hairiness of chenille yarn. A computer vision-based image
Chenghan Yang, Yun Xu, Jianpeng Zhang, Jianxin Zhang   +3 more
doaj   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Determination of Optimum Twist Equation for the Long Staple Combed Cotton Ring-Spun Yarn

Fibers, 2020
The aim of this research was to determine the optimum twist equation for ring-spun yarns. The yarn twist can be calculated by different equations.
Dunja Šajn Gorjanc, Neža Sukič
doaj   +1 more source

Functional Fibers in Soft Robotics: Advances in Material, Structural, and Systemic Tactics

Advanced Robotics Research, EarlyView.
Fiber‐form robotic systems offer a scalable pathway toward embodied intelligence in soft robotics. This review surveys functional fibers as material, structural, and systemic elements, highlighting advances in responsive materials, architectural programing, and fabrication strategies.
Joonhee Won, Jaehyun Jang, Hyeonseo Kim, Inyoung Choi, Steve Park, Seongjun Park   +5 more
wiley   +1 more source

A Comparative Investigation of Cotton Yarn Properties with Various Twist Factors During Yarn-Steaming Treatment

Fibers
In this investigation, C20S (29.5 tex) and C30S (19.7 tex) ring-spun cotton yarns with different twist factors were produced using the same technological parameters for the yarn steaming process.
Wenqing Zhang, Bin Chen, Ruicheng Zhang, Keshuai Liu   +3 more
doaj   +1 more source

Flexible Sensors for Robotics Tactile Perception: A Review

Advanced Robotics Research, EarlyView.
Flexible tactile sensing for robotics is reviewed through four interconnected dimensions. Physical mechanisms include piezoresistive, capacitive, piezoelectric, triboelectric, iontronic, and optical sensing. Structural design includes bioinspired, defect‐based, and MEMS‐based tactile systems.
Yu Song, Ying Chen, Yihao Chen, Xue Feng
wiley   +1 more source