In order to provide a reference for rocky desertification control in karst areas,we take the case of Hongfeng Lake Rocky Desertification Comprehensive Control Demonstration Area in Qingzhen City of Guizhou Province,an...In order to provide a reference for rocky desertification control in karst areas,we take the case of Hongfeng Lake Rocky Desertification Comprehensive Control Demonstration Area in Qingzhen City of Guizhou Province,and expound strength,weakness,opportunity and challenge in its ecological restoration,using SWOT analysis method in management sciences.And we finally put forth scientific strategies for ecological restoration in this demonstration area.展开更多
Recently,deep learning-based semantic communication has garnered widespread attention,with numerous systems designed for transmitting diverse data sources,including text,image,and speech,etc.While efforts have been di...Recently,deep learning-based semantic communication has garnered widespread attention,with numerous systems designed for transmitting diverse data sources,including text,image,and speech,etc.While efforts have been directed toward improving system performance,many studies have concentrated on enhancing the structure of the encoder and decoder.However,this often overlooks the resulting increase in model complexity,imposing additional storage and computational burdens on smart devices.Furthermore,existing work tends to prioritize explicit semantics,neglecting the potential of implicit semantics.This paper aims to easily and effectively enhance the receiver's decoding capability without modifying the encoder and decoder structures.We propose a novel semantic communication system with variational neural inference for text transmission.Specifically,we introduce a simple but effective variational neural inferer at the receiver to infer the latent semantic information within the received text.This information is then utilized to assist in the decoding process.The simulation results show a significant enhancement in system performance and improved robustness.展开更多
基金Guizhou Science and Technology Plan Project(S20071061)Social Public Relations Plan Project of Guizhou Provincial Department of Technology(SY20113096)Guizhou Philosophy and Social Sciences Plan Project(11GZQN19)
文摘In order to provide a reference for rocky desertification control in karst areas,we take the case of Hongfeng Lake Rocky Desertification Comprehensive Control Demonstration Area in Qingzhen City of Guizhou Province,and expound strength,weakness,opportunity and challenge in its ecological restoration,using SWOT analysis method in management sciences.And we finally put forth scientific strategies for ecological restoration in this demonstration area.
基金supported in part by the National Science Foundation of China(NSFC)with grant no.62271514in part by the Science,Technology and Innovation Commission of Shenzhen Municipality with grant no.JCYJ20210324120002007 and ZDSYS20210623091807023in part by the State Key Laboratory of Public Big Data with grant no.PBD2023-01。
文摘Recently,deep learning-based semantic communication has garnered widespread attention,with numerous systems designed for transmitting diverse data sources,including text,image,and speech,etc.While efforts have been directed toward improving system performance,many studies have concentrated on enhancing the structure of the encoder and decoder.However,this often overlooks the resulting increase in model complexity,imposing additional storage and computational burdens on smart devices.Furthermore,existing work tends to prioritize explicit semantics,neglecting the potential of implicit semantics.This paper aims to easily and effectively enhance the receiver's decoding capability without modifying the encoder and decoder structures.We propose a novel semantic communication system with variational neural inference for text transmission.Specifically,we introduce a simple but effective variational neural inferer at the receiver to infer the latent semantic information within the received text.This information is then utilized to assist in the decoding process.The simulation results show a significant enhancement in system performance and improved robustness.
