5篇
您的检索式：作者名="Ren Guoquan"
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| 1 | The Temperature/Humidity Control System of Equipment Warehouse Based on Fuzzy Control Algorithm 显示文摘 | LIU Jinhua REN Guoquan TIAN Guang | 2014 | Mechatronics and Automatic Control Systems2014，237，： | 1 |
| 2 | The optimal decomposition in wavelet threshold de-noising algorithm layer adaptive identification and simulation 显示文摘 | WANG Wei ZHANG Yintang REN Guoquan | 2009 | Journal of Instruments and Meters2009，30，3： | 1 |
| 3 | Cucumber ( Cucumis sativus L.) over-expressing cold-induced transcriptome regulator ICE1 exhibits changed morphological characters and enhances chilling tolerance显示文摘 | Liying Liu Liusheng Duan Jiachang Zhang Zhenxian Zhang Guoquan Mi Huazhong Ren | 2009 | Scientia Horticulturae2009，，1： | 1 |
| 4 | Audio-visual keyword transformer for unconstrained sentence-level keyword spotting显示文摘As one of the most effective methods to improve the accuracy and robustness of speech tasks,the audio-visual fusion approach has recently been introduced into the field of Keyword Spotting(KWS).However,existing audio-visual keyword spotting models are limited to detecting isolated words,while keyword spotting for unconstrained speech is still a challenging problem.To this end,an Audio-Visual Keyword Transformer(AVKT)network is proposed to spot keywords in unconstrained video clips.The authors present a transformer classifier with learnable CLS tokens to extract distinctive keyword features from the variable-length audio and visual inputs.The outputs of audio and visual branches are combined in a decision fusion module.As humans can easily notice whether a keyword appears in a sentence or not,our AVKT network can detect whether a video clip with a spoken sentence contains a pre-specified keyword.Moreover,the position of the keyword is localised in the attention map without additional position labels.Exper-imental results on the LRS2-KWS dataset and our newly collected PKU-KWS dataset show that the accuracy of AVKT exceeded 99%in clean scenes and 85%in extremely noisy conditions.The code is available at http://gffzz188fe103f8f1460asko9xp0qk096k6qqo.ffgz.tsg.suse.edu.cn/jialeren/AVKT. | Yidi Li Jiale Ren Yawei Wang Guoquan Wang Xia Li Hong Liu | 2024 | CAAI Transactions on Intelligence Technology2024，9，1： | 0 |
| 5 | Decentralized and overall condition monitoring system for large-scale mobile and complex equipment显示文摘It is an urgent project to realize online and overall condition monitoring and timely fault diagnosis for large-scale mobile and complex equipment. Moreover, most of the existing large-scale complex equipment has quite insufficient accessibility of examination, although it still has quite a long service life. The decentralized and overall condition monitoring, as a new concept, is proposed from the point of view of the whole system. A set of complex equipment is divided into several parts in terms of concrete equipment. Every part is processed via one detecting unit, and the main detecting unit is connected with other units. The management work and communications with the remote monitoring center have been taken on by it. Consequently, the difficulty of realizing a condition monitoring system and the complexity of processing information is reduced greatly. Furthermore, excellent maintainability of the condition monitoring system is obtained because of the modularization design. Through an application example, the design and realization of the decentralized and overall condition monitoring system is introduced specifically. Some advanced technologies, such as, micro control unit (MCU), advanced RISC machines (ARM), and control area network (CAN), have been adopted in the system. The system's applicability for the existing large-scale mobile and complex equipment is tested. | Cao Jianjun Zhang Peilin Ren Guoquan Fu Jianping | 2007 | Journal of Systems Engineering and Electronics2007，18，4： | 0 |
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