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The purpose of this paper was to investigate the effect of a training state-of-the-art convolution neural network (CNN) for millimeter-wave radar-based hand gesture recognition (MR-HGR). Focusing on the small training dataset problem in MR-HGR, this paper first proposed to transfer the knowledge with the CNN models in computer vision to MR-HGR by fine-tuning the models with radar data samples. Meanwhile, for the different data modality in MR-HGR, a parameterized representation of temporaldoi:10.3390/s21010259 pmid:33401744 fatcat:zk35wm7a3nfuphl62pssnv5i7i
more »... velocity (TSV) spectrogram was proposed as an integrated data modality of the time-evolving hand gesture features in the radar echo signals. The TSV spectrograms representing six common gestures in human–computer interaction (HCI) from nine volunteers were used as the data samples in the experiment. The evaluated models included ResNet with 50, 101, and 152 layers, DenseNet with 121, 161 and 169 layers, as well as light-weight MobileNet V2 and ShuffleNet V2, mostly proposed by many latest publications. In the experiment, not only self-testing (ST), but also more persuasive cross-testing (CT), were implemented to evaluate whether the fine-tuned models generalize to the radar data samples. The CT results show that the best fine-tuned models can reach to an average accuracy higher than 93% with a comparable ST average accuracy almost 100%. Moreover, in order to alleviate the problem caused by private gesture habits, an auxiliary test was performed by augmenting four shots of the gestures with the heaviest misclassifications into the training set. This enriching test is similar with the scenario that a tablet reacts to a new user. The results of two different volunteer in the enriching test shows that the average accuracy of the enriched gesture can be improved from 55.59% and 65.58% to 90.66% and 95.95% respectively. Compared with some baseline work in MR-HGR, the investigation by this paper can be beneficial in promoting MR-HGR in future industry applications and consumer electronic design.
We studied continuous sign language recognition using Doppler radar sensors. Four signs in Chinese sign language and American sign language were captured and extracted by complex empirical mode decomposition (CEMD) to obtain spectrograms. Image sharpening was used to enhance the micro-Doppler signatures of the signs. To classify the different signs, we utilized an improved Yolov3-tiny network by replacing the framework with ResNet and fine-tuned the network in advance. This method can removedoi:10.3390/electronics9101577 fatcat:apotncey3jgazefre4y57zkexm
more »... epentheses from the training process. Experimental results revealed that the proposed method can surpass the state-of-the-art sign language recognition methods in continuous sign recognition with a precision of 0.924, a recall of 0.993, an F1-measure of 0.957 and a mean average precision (mAP) of 0.99. In addition, dialogue recognition in three daily conversation scenarios was performed and evaluated. The average word error rate (WER) was 0.235, 10% lower than in of other works. Our work provides an alternative form of sign language recognition and a new approach to simplify the training process and achieve a better continuous sign language recognition effect.
Rapid and accurate identification of new essential genes in under-studied microorganisms will significantly improve our understanding of how a cell works and the ability to re-engineer microorganisms. However, predicting essential genes across distantly related organisms remains a challenge. Here, we present a machine learning-based integrative approach that reliably transfers essential gene annotations between distantly related bacteria. We focused on four bacterial species that havedoi:10.1093/nar/gkq784 pmid:20870748 pmcid:PMC3035443 fatcat:bfx63dckxreudmypjla3xklcz4
more »... cterized essential genes, and tested the transferability between three pairs among them. For each pair, we trained our classifier to learn traits associated with essential genes in one organism, and applied it to make predictions in the other. The predictions were then evaluated by examining the agreements with the known essential genes in the target organism. Ten-fold cross-validation in the same organism yielded AUC scores between 0.86 and 0.93. Cross-organism predictions yielded AUC scores between 0.69 and 0.89. The transferability is likely affected by growth conditions, quality of the training data set and the evolutionary distance. We are thus the first to report that gene essentiality can be reliably predicted using features trained and tested in a distantly related organism. Our approach proves more robust and portable than existing approaches, significantly extending our ability to predict essential genes beyond orthologs.
The 10 MeV accelerator-driven subcritical system (ADS) Injector-I test stand at Institute of High Energy Physics (IHEP) is a testing facility dedicated to demonstrate one of the two injector design schemes [Injector Scheme-I, which works at 325 MHz], for the ADS project in China. The Injector adopted a four vane copper structure RFQ with output energy of 3.2 MeV and a superconducting (SC) section accommodating fourteen e̱ṯa̱g=0.12 single spoke cavities, fourteen SC solenoids and fourteen coldarXiv:1705.05068v1 fatcat:e4prki552rdtdbmeoqijec3l5i
more »... Ms. The ion source was installed since April of 2014, periods of commissioning are regularly scheduled between installation phases of the rest of the injector. Continuous wave (CW) beam was shooting through the injector and 10 MeV CW proton beam with average beam current around 2 mA was obtained recently. This contribution describe the results achieved so far and the difficulties encountered in CW commissioning.
The 10 MeV accelerator-driven subcritical system (ADS) Injector I test stand at Institute of High Energy Physics (IHEP) is a testing facility dedicated to demonstrate one of the two injector design schemes [Injector Scheme-I, which works at 325 MHz], for the ADS project in China. The ion source was installed since April of 2014, periods of commissioning are regularly scheduled between installation phases of the rest of the injector. Early this year, continuous wave (CW) proton beam has beendoi:10.18429/jacow-srf2017-moxa07 fatcat:ro5ahs2m3je2phuhtaibp7pzwa
more »... essfully obtained with energy of 10MeV and average beam current around 2 mA, the single spoke cavities with smallest developed beta (βg=0.12) were applied and successfully commissioned. Single spoke cavities with higher beta (βg=0.21) were also adopted for the last cryomodule of 25MeV proton linac, and 170uA CW proton beam were shooting through recently. This contribution reports the details of the development of the C-ADS SRF accelerator at IHEP and the challenges of the CW machine commissioning
Invention: IMT For the IMT group, IMT will be performed for 15 min per session, twice a day, with an initial load of 30% of MIP using a threshold inspiratory muscle trainer (c-type, Shengchang medical ...doi:10.3389/fcvm.2020.598054 pmid:33511161 pmcid:PMC7835280 fatcat:wgfe7zksbvewrpe3cnx7fkvfsq
(English summary) 99¢:90134 Jiao, Bao Cong (with Chen, Lan Ping) Global convergence of the restarting conjugate gradient algorithm with a generalized Curry line search. (Chinese. ... R. and (99d:00026) O’Leary, Dianne P. see Kolda, Tamara G.,; et al., 99e:90092 Ou, Zhiying (with Wang, Baiyan; Yan, Keming; Zhang, Shengchang) Weakly augmented Lagrange-function projected gradient methods ...
Beijing : Zhongguo qingnian, 2018, 208 p. 27 Fan Yiping 凡一平, Chan shengchang 蝉声唱. ... En un mot, il me fascinait, comme il fascinait mes camarades Lan Shangjie, Wei Liao, Qin Hongse et Wei Weiluan. ...doi:10.4000/ideo.2070 fatcat:llgx73g4xzeergdf7kdz5ndpei
(Summary) 2001m:28015 28A80 Wen, Shengchang Some problems in the third generation wave models and a new approach to ocean wave modeling. (English summary) Progr. Natur. Sci. ... (see 2001f:92001) 92D40 Wen, John T. see Complex robotic systems, 2001h:70011 Wen, Lan On the preperiodic set. (English summary) Discrete Contin. Dynam. Systems 6 (2000), no. 1, 237-241. (S. Yu. ...
2021 International Conference on Advanced Electrical Equipment and Reliable Operation (AEERO)
Liu, Shixiong Gong, Bin Li and Bing Qi ---------------------------------------Title: Research on Task Scheduling Algorithm for Edge Computing in Low-voltage Transformer the Area Network Author: Tian Lan ... Title: Joint Analysis of Vibration Signals and Switching Sequence Features of a Vacuum on Load Tap Changer Author: Tonglei Wang, Yong Ma, Fengbo Tao, Jiangang Xu, Tianxi Xie, Yikun Chai, Fan Zhang and Shengchang ...doi:10.1109/aeero52475.2021.9708222 fatcat:bdfv2s6crfbu7pmbx43luivn5q
We also thank Professor Xiaoning Wang and Dr Yuhui Chen for kindly providing Chang liver cells (School of Bioscience and Bioengineering, South China University of Technology), to Drs Song Li and Shengchang ...doi:10.1038/labinvest.2012.114 pmid:22890557 fatcat:decgkd6kynbxhpmgapywgxa2mm
2020 IEEE International Conference on High Voltage Engineering and Application (ICHVE)
insulation performance of 3D-printed functionally graded Insulator fabricated by active-mixing fused deposition modeling (AM-FDM) Li, Wen-Dong;Zhao, Jia-Wei;Chen, Yun;Wei, Yan-Hui;Jiang, Zhi-Hui;Wang, Chao;Lan ... Xu;Guanjun Zhang IEEE 1261 The Inner Voltage Component Analysis and Testing System for Converter Transformer Valve Side Bushings Li, Xining;Tang, Hao;Zhang, Shuqi;Cheng, Huanchao;Yang, Fan;Ji, Shengchang ...doi:10.1109/ichve49031.2020.9279428 fatcat:mrin4cgjy5frbgtbst7jnibwrm
Acknowledgements We thank Professor Shuo Lin, Dr Song Li and Shengchang Xin for assistance with zebrafish experiments. Conflict of Interest statement. None declared. ...doi:10.1093/hmg/ddv213 pmid:26089203 fatcat:kmjttoqonzeypehcpra6iowotq
Lameiro, Christian Lamonaca, Francesco Lamparelli, Rubens Augusto Camargo Lan, Guohao Lan, Shengchang Lan, Shoufeng Lan, Yucheng Lancaster, David Lanceros-mendez, Senentxu Landers, Andrew ...doi:10.3390/s20020576 fatcat:yjjvds6ndvdx5dp6gfcsvyfar4
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