Search Results - "Hu, S. G."

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  1. 1

    A dynamic AES cryptosystem based on memristive neural network by Liu, Y. A., Chen, L., Li, X. W., Liu, Y. L., Hu, S. G., Yu, Q., Chen, T. P., Liu, Y.

    Published in Scientific reports (28-07-2022)
    “…This paper proposes an advanced encryption standard (AES) cryptosystem based on memristive neural network. A memristive chaotic neural network is constructed…”
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  2. 2

    Braille recognition by E-skin system based on binary memristive neural network by Liu, Y. H., Wang, J. J., Wang, H. Z., Liu, S., Wu, Y. C., Hu, S. G., Yu, Q., Liu, Z., Chen, T. P., Yin, Y., Liu, Y.

    Published in Scientific reports (03-04-2023)
    “…Braille system is widely used worldwide for communication by visually impaired people. However, there are still some visually impaired people who are unable to…”
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  3. 3

    Efficient and reconfigurable reservoir computing to realize alphabet pronunciation recognition based on processing-in-memory by Liu, Shuang, Wu, Yuancong, Xiong, Canlong, Liu, Yihe, Yang, Jing, Yu, Q., Hu, S. G., Chen, T. P., Liu, Y.

    Published in Applied physics letters (06-09-2021)
    “…With its high energy efficiency and ultra-high speed, processing-in-memory (PIM) technology is promising to enable high performance in Reservoir Computing (RC)…”
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  4. 4

    Winner-takes-all mechanism realized by memristive neural network by Wang, J. J., Yu, Q., Hu, S. G., Liu, Yanchen, Guo, Rui, Chen, T. P., Yin, Y., Liu, Y.

    Published in Applied physics letters (09-12-2019)
    “…Winner-takes-all (WTA), an important mechanism in neural networks of recurrently connected neurons, is a critical element of many models of cortical…”
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  5. 5

    Smart electronic skin having gesture recognition function by LSTM neural network by Liu, G. Y., Kong, D. Y., Hu, S. G., Yu, Q., Liu, Z., Chen, T. P., Yin, Y., Hosaka, Sumio, Liu, Y.

    Published in Applied physics letters (20-08-2018)
    “…Rapid growth of soft electronics has enabled various approaches for developing artificial skin. However, currently existing electronic skin is still facing…”
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  6. 6

    Highly spectrum-selective ultraviolet photodetector based on p-NiO/n-IGZO thin film heterojunction structure by Li, H K, Chen, T P, Hu, S G, Li, X D, Liu, Y, Lee, P S, Wang, X P, Li, H Y, Lo, G Q

    Published in Optics express (19-10-2015)
    “…Ultraviolet photodetector with p-n heterojunction is fabricated by magnetron sputtering deposition of n-type indium gallium zinc oxide (n-IGZO) and p-type…”
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  7. 7

    Epilepsy detection with artificial neural network based on as-fabricated neuromorphic chip platform by Liu, Y. H., Chen, L., Li, X. W., Wu, Y. C., Liu, S., Wang, J. J., Hu, S. G., Yu, Q., Chen, T. P., Liu, Y.

    Published in AIP advances (01-03-2022)
    “…Epilepsy is a serious neurological condition caused by a sudden abnormality of brain neurons. An accurate epilepsy detection based on electroencephalogram…”
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  8. 8

    Protein adsorption, fibroblast activity and antibacterial properties of poly(3-hydroxybutyric acid- co-3-hydroxyvaleric acid) grafted with chitosan and chitooligosaccharide after immobilized with hyaluronic acid by Hu, S.-G, Jou, C.-H, Yang, M.C

    Published in Biomaterials (01-07-2003)
    “…Poly(3-hydroxybutyric acid- co-3-hydroxyvaleric acid) (PHBV) membrane was treated with ozone and grafted with acrylic acid. The resulting membranes were…”
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  9. 9

    A Neuromorphic-Hardware Oriented Bio-Plausible Online-Learning Spiking Neural Network Model by Qiao, G. C., Hu, S. G., Wang, J. J., Zhang, C. M., Chen, T. P., Ning, N., Yu, Q., Liu, Y.

    Published in IEEE access (2019)
    “…Neuromorphic hardware inspired by the brain has attracted much attention for its advanced information processing concept. However, implementing online learning…”
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  10. 10

    Predicting House Price With a Memristor-Based Artificial Neural Network by Wang, J. J., Hu, S. G., Zhan, X. T., Luo, Q., Yu, Q., Liu, Zhen, Chen, T. P., Yin, Y., Hosaka, Sumio, Liu, Y.

    Published in IEEE access (01-01-2018)
    “…Synaptic memristor has attracted much attention for its potential applications in artificial neural networks (ANNs). However useful applications in real life…”
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  11. 11

    A versatile neuromorphic system based on simple neuron model by Zhang, C. M., Qiao, G. C., Hu, S. G., Wang, J. J., Liu, Z. W., Liu, Y. A., Yu, Q., Liu, Y.

    Published in AIP advances (01-01-2019)
    “…Brain-inspired neuromorphic computing has attracted much attention for its advanced computing concept. However, the massive hardware cost in fully-connected…”
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  12. 12

    Design of a Neural Network-Based VCO With High Linearity and Wide Tuning Range by Guo, Rui, Qian, Kun, Wei, Jinping, Chen, Tupei, Liu, Yanchen, Kong, Deyu, Wang, J. J., Wu, Yuancong, Hu, S. G., Yu, Qi, Liu, Yang

    Published in IEEE access (2019)
    “…In this paper, a 2 GHz LC-VCO with neural network (Multilayer Perceptron) has been designed in a 0.13 ţm CMOS technology. With the integrated neural network,…”
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  13. 13

    Antibacterial and biodegradable properties of polyhydroxyalkanoates grafted with chitosan and chitooligosaccharides via ozone treatment by Hu, S.-G., Jou, C.-H., Yang, M.-C.

    Published in Journal of applied polymer science (20-06-2003)
    “…Acrylic acid was grafted to ozone‐treated poly(3‐hydroxybutyric acid) (PHB) and poly(3‐hydroxybutyric acid‐co‐3‐hydroxyvaleric acid) (PHBV) membranes. The…”
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  14. 14

    Implementation of a Low Noise Amplifier With Self-Recovery Capability by Liu, Yanchen, Zhang, Caizhi, Chen, Tupei, Kong, Deyu, Guo, Rui, Wang, J. J., Wu, Yuancong, Hu, S. G., Rong, L. M., Yu, Qi, Liu, Yang

    Published in IEEE access (2019)
    “…In this paper, an RF low noise amplifier (LNA) with self-recovery capability has been designed and implemented. A degradation model of hot carrier injection…”
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  15. 15

    The dynamic metabolomic changes throughout mouse epididymal lumen fluid potentially contribute to sperm maturation by Hu, S.‐G., Liang, A.‐J., Yao, G.‐X., Li, X.‐Q., Zou, M., Liu, J.‐W., Sun, Y.

    Published in Andrology (Oxford) (01-01-2018)
    “…Summary Epididymal lumen fluids are directly responsible for sperm maturation. However, very little is known about the molecular details of small molecule…”
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  16. 16

    Surface grafting of polyester fiber with chitosan and the antibacterial activity of pathogenic bacteria by Hu, S.-G., Jou, C.-H., Yang, M.-C.

    Published in Journal of applied polymer science (13-12-2002)
    “…Three polyesters—poly(ethylene terephthalate), poly(2‐methyl‐1,3‐propylene terephthalate‐co‐ethylene terephthalate), and poly(1,4‐cyclohexylene…”
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  17. 17

    Biocompatibility and antibacterial activity of chitosan and collagen immobilized poly(3-hydroxybutyric acid-co-3-hydroxyvaleric acid) by Hu, S.-G., Jou, C.-H., Yang, M.-C.

    Published in Carbohydrate polymers (19-11-2004)
    “…Acrylic acid (AA) was grafted to ozone treated poly (3-hydroxybutyric acid-co-3-hydroxyvaleric acid) (PHBV) membrane. The resulting membranes were further…”
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  18. 18

    Associative memory realized by a reconfigurable memristive Hopfield neural network by Hu, S.G., Liu, Y., Liu, Z, Chen, T.P., Wang, J.J., Yu, Q., Deng, L.J., Yin, Y., Hosaka, Sumio

    Published in Nature communications (25-06-2015)
    “…Although synaptic behaviours of memristors have been widely demonstrated, implementation of an even simple artificial neural network is still a great…”
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  19. 19

    Fullerene-Inspired Efficient Neuromorphic Network-on-Chip Scheme by Zhou, P. J., Yu, Q., Chen, M., Qiao, G. C., Zuo, Y., Zhang, Z., Liu, Y., Hu, S. G.

    “…Router-based network-on-chips (NoCs) are widely used for multi-core interconnection in neuromorphic chips. The NoC scheme has a great impact on communication…”
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  20. 20

    Handwritten-Digit Recognition by Hybrid Convolutional Neural Network based on HfO2 Memristive Spiking-Neuron by Wang, J. J., Hu, S. G., Zhan, X. T., Yu, Q., Liu, Z., Chen, T. P., Yin, Y., Hosaka, Sumio, Liu, Y.

    Published in Scientific reports (22-08-2018)
    “…Although there is a huge progress in complementary-metal-oxide-semiconductor (CMOS) technology, construction of an artificial neural network using CMOS…”
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