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Continuous Deformation Monitoring by Polymermatrix Carbon Fiber Sensitive Layer 被引量:2
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作者 郑华升 ZHU Sirong LI Zhuoqiu 《Journal of Wuhan University of Technology(Materials Science)》 SCIE EI CAS 2016年第3期705-712,共8页
Composite made of short-cut carbon fiber mat and vinyl ester resin was observed to be an effective sensor for tensile strain up to 6 000με. Based on its strain sensitivity, a skin-like sensitive layer which can cont... Composite made of short-cut carbon fiber mat and vinyl ester resin was observed to be an effective sensor for tensile strain up to 6 000με. Based on its strain sensitivity, a skin-like sensitive layer which can continuously cover the structural surface to sense strain in large area was developed. The sensitive layer was applied to continuously monitor the deformation of a simply supported beam. The result indicates that the fractional change in electrical resistance of the sensitive layer reversibly reflects the beam deformation in each section and describes the distribution of the average strain of the beam. The effect of temperature change on the monitoring was studied by monitoring tests conducted at different temperatures ranging from 20 to 80 ℃, which reveals temperature sensitivity in the sensitive layer and the temperature dependence of the piezoresistive behavior when the temperature exceeds 50 ℃. By the application of differential conaection principle, a method for temperature compensation was established and the gauge factor for the monitoring was dramatically increased. This method was verified experimentally. 展开更多
关键词 polymer-matrix carbon fiber sensitive layer strain sensitivity continuous deformation monitoring temperature compensation
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Swiftly accessible retinomorphic hardware for in-sensor image preprocessing and recognition:IGZO-based neuro-inspired optical image sensor arrays with metallic sensitization island
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作者 Kyungmoon Kwak Kyungho Park +7 位作者 Jae Seong Han Byung Ha Kang Dong Hyun Choi Kunho Moon Seok Min Hong Gwan In Kim Ju Hyun Lee Hyun Jae Kim 《International Journal of Extreme Manufacturing》 2025年第6期494-510,共17页
In-optical-sensor computing architectures based on neuro-inspired optical sensor arrays have become key milestones for in-sensor artificial intelligence(AI)technology,enabling intelligent vision sensing and extensive ... In-optical-sensor computing architectures based on neuro-inspired optical sensor arrays have become key milestones for in-sensor artificial intelligence(AI)technology,enabling intelligent vision sensing and extensive data processing.These architectures must demonstrate potential advantages in terms of mass production and complementary metal oxide semiconductor compatibility.Here,we introduce a visible-light-driven neuromorphic vision system that integrates front-end retinomorphic photosensors with a back-end artificial neural network(ANN),employing a single neuro-inspired indium-g allium-zinc-oxide photo transistor(NIP)featuring an aluminum sensitization layer(ASL).By methodically adjusting the ASL coverage on IGZO phototransistors,a fast-switching response-type and a synaptic response-type of IGZO photo transistors are successfully developed.Notably,the fabricated NIP shows a remarkable retina-like photoinduced synaptic plasticity under wavelengths up to 635 nm,with over256-states,weight update nonlinearity below 0.1,and a dynamic range of 64.01.Owing to this technology,a 6×6 neuro-inspired optical image sensor array with the NIP can perform highly integrated sensing,memory,and preprocessing functions,including contrast enhancement,and handwritten digit image recognition.The demonstrated prototype highlights the potential for efficient hardware implementations in in-sensor AI technologies. 展开更多
关键词 retinomorphic hardware in-sensor preprocessing image recognition neuro-inspired optical sensors indium-gallium-zinc-oxide metallic sensitization layer
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Macular thickness as a predictor of loss of visual sensitivity in ethambutol-induced optic neuropathy 被引量:5
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作者 Chun-xia Peng Ai-di Zhang +4 位作者 Bing Chen Bing-jian Yang Qiu-hong Wang Mo Yang Shi-hui Wei 《Neural Regeneration Research》 SCIE CAS CSCD 2016年第3期469-475,共7页
Ethambutol is a common cause of drug-related optic neuropathy.Prediction of the onset of ethambutol-induced optic neuropathy and consequent drug withdrawal may be an effective method to stop visual loss.Previous studi... Ethambutol is a common cause of drug-related optic neuropathy.Prediction of the onset of ethambutol-induced optic neuropathy and consequent drug withdrawal may be an effective method to stop visual loss.Previous studies have shown that structural injury to the optic nerve occurred earlier than the damage to visual function.Therefore,we decided to detect structural biomarkers marking visual field loss in early stage ethambutol-induced optic neuropathy.The thickness of peripapillary retinal nerve fiber layer,macular thickness and visual sensitivity loss would be observed in 11 ethambutol-induced optic neuropathy patients(22 eyes) using optical coherence tomography.Twenty-four healthy age-and sex-matched participants(48 eyes) were used as controls.Results demonstrated that the temporal peripapillary retinal nerve fiber layer thickness and average macular thickness were thinner in patients with ethambutol-induced optic neuropathy compared with healthy controls.The average macular thickness was strongly positively correlated with central visual sensitivity loss(r2=0.878,P=0.000).These findings suggest that optical coherence tomography can be used to efficiently screen patients.Macular thickness loss could be a potential factor for predicting the onset of ethambutol-induced optic neuropathy. 展开更多
关键词 nerve regeneration ethambutol-induced optic neuropathy optical coherence tomography peripapillary retinal nerve fiber layer ethambutol macular thickness visual sensitivity neural regeneration
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