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151.
When wireless sensor networks (WSN) are deployed in the vegetable greenhouse with dynamic connectivity and interference environment, it is necessary to increase the node transmit power to ensure the communication quality, which leads to serious network interference. To offset the negative impact, the transmit power of other nodes must also be increased. The result is that the network becomes worse and worse, and node energy is wasted a lot. Taking into account the irregular connection range in the cucumber greenhouse WSN, we measured the transmission characteristics of wireless signals under the 2.4 Ghz operating frequency. For improving network layout in the greenhouse, a semi-empirical prediction model of signal loss is then studied based on the measured data. Compared with other models, the average relative error of this semi-empirical signal loss model is only 2.3%. Finally, by combining the improved network topology algorithm and tabu search, this paper studies a greenhouse WSN layout that can reduce path loss, save energy, and ensure communication quality. Given the limitation of node-degree constraint in traditional network layout algorithms, the improved algorithm applies the forwarding constraint to balance network energy consumption and constructs asymmetric network communication links. Experimental results show that this research can realize the energy consumption optimization of WSN layout in the greenhouse. 相似文献
152.
The Journal of Supercomputing - The heterogeneous many-core architecture plays an important role in the fields of high-performance computing and scientific computing. It uses accelerator cores with... 相似文献
153.
Xu Qianqian Xiong Jiechao Cao Xiaochun Huang Qingming Yao Yuan 《International Journal of Computer Vision》2021,129(5):1732-1753
International Journal of Computer Vision - Nowadays, how to effectively evaluate visual properties has become a popular topic for fine-grained visual comprehension. In this paper we study the... 相似文献
154.
Jiang Hongzhi Li Yuxi Zhao Huijie Li Xudong Xu Yang 《International Journal of Computer Vision》2021,129(5):1787-1787
International Journal of Computer Vision - In the original publication of the article, the name of the last author should be Yang Xu, instead of Xu Yang. “Xu” is the family name, and... 相似文献
155.
Gu Min Gu Yanhui Luo Weilan Xu Guandong Yang Zhenglu Zhou Junsheng Qu Weiguang 《Neural computing & applications》2021,33(11):6009-6025
Neural Computing and Applications - Semantic understanding is an essential research issue for many applications, such as social network analysis, collective intelligence and content computing,... 相似文献
156.
Gao Fang Jia Xiaofeng Zhao Zhiyun Chen Chih-Cheng Xu Feng Geng Zhe Song Xiaotong 《Microsystem Technologies》2021,27(4):1545-1557
Microsystem Technologies - Artificial intelligence (AI), together with its applications, has received world-wide attentions and is expected to exert force on the development of global economy and... 相似文献
157.
Neural Computing and Applications - 相似文献
158.
Zhang Dan Li Pan Zhao Lei Xu Duanqing Lu Dongming 《Neural computing & applications》2021,33(19):12957-12971
Neural Computing and Applications - Deep convolutional neural networks have achieved great success for image denoising recently. However, increasing the depth of the neural network cannot... 相似文献
159.
Xu Furong Liu Ke Yu Zhuliang Deng Xin Wang Guoyin 《Neural computing & applications》2021,33(14):8513-8524
Neural Computing and Applications - It is a long-standing challenge to reconstruct the locations and extents of cortical neural activities from electroencephalogram (EEG) recordings, especially... 相似文献
160.
Wang Fei Zhang Weiwei Xu Zongfeng Ping Jingyu Chu Hao 《Neural computing & applications》2021,33(15):9061-9073
Neural Computing and Applications - In real-world application of affective brain–computer interface (aBCI), individual differences across subjects and non-stationary characteristics of... 相似文献