Diseases in tea trees can result in significant losses in both the quality and quantity of tea production.Regular monitoring can help to prevent the occurrence of large-scale diseases in tea plantations.However,existi...Diseases in tea trees can result in significant losses in both the quality and quantity of tea production.Regular monitoring can help to prevent the occurrence of large-scale diseases in tea plantations.However,existingmethods face challenges such as a high number of parameters and low recognition accuracy,which hinders their application in tea plantation monitoring equipment.This paper presents a lightweight I-MobileNetV2 model for identifying diseases in tea leaves,to address these challenges.The proposed method first embeds a Coordinate Attention(CA)module into the originalMobileNetV2 network,enabling the model to locate disease regions accurately.Secondly,a Multi-branch Parallel Convolution(MPC)module is employed to extract disease features across multiple scales,improving themodel’s adaptability to different disease scales.Finally,theAutoMLforModelCompression(AMC)is used to compress themodel and reduce computational complexity.Experimental results indicate that our proposed algorithm attains an average accuracy of 96.12%on our self-built tea leaf disease dataset,surpassing the original MobileNetV2 by 1.91%.Furthermore,the number of model parameters have been reduced by 40%,making itmore suitable for practical application in tea plantation environments.展开更多
In order to adapt to the construction needs of the smart grid, smart substation need to solve the problem of protocol conversion between the conventional non-standardized condition monitoring equipment and the standar...In order to adapt to the construction needs of the smart grid, smart substation need to solve the problem of protocol conversion between the conventional non-standardized condition monitoring equipment and the standardized monitoring system. This paper proposed a realization method of conversion method between Modbus and IEC61850. Object-oriented technology is used for information model on Modbus. After the analysis of IEC61850 and MMS information and service model, to establish the model mapping relationship between IEC61850, MMS and Modbus based on the principle of minimum information point which is one to one correspondence. Combined with the implementation of SISCO MMS-EASE LITE software development kit programming, giving a realization method using QT programming techniques based on the mapping model. Finally, the establishment the interval controller as an example of protocol scheme verifies the correctness and the feasibility of protocol conversion method.展开更多
To the Editor:The current coronavirus disease-19(COVID-19)pandemic spurs the development of antiviral drugs for SARS-CoV-2,as the number of patients with viral infections continues to rise globally in the context of w...To the Editor:The current coronavirus disease-19(COVID-19)pandemic spurs the development of antiviral drugs for SARS-CoV-2,as the number of patients with viral infections continues to rise globally in the context of widespread vaccination.Targeting the interaction between the receptor binding domain(RBD)of SARS-CoV-2 spike protein and the host cell ACE2 is a promising therapeutic strategy to effectively inhibit viral entry.展开更多
基金supported by National Key Research and Development Program(No.2016YFD0201305-07)Guizhou Provincial Basic Research Program(Natural Science)(No.ZK[2023]060)Open Fund Project in Semiconductor Power Device Reliability Engineering Center of Ministry of Education(No.ERCMEKFJJ2019-06).
文摘Diseases in tea trees can result in significant losses in both the quality and quantity of tea production.Regular monitoring can help to prevent the occurrence of large-scale diseases in tea plantations.However,existingmethods face challenges such as a high number of parameters and low recognition accuracy,which hinders their application in tea plantation monitoring equipment.This paper presents a lightweight I-MobileNetV2 model for identifying diseases in tea leaves,to address these challenges.The proposed method first embeds a Coordinate Attention(CA)module into the originalMobileNetV2 network,enabling the model to locate disease regions accurately.Secondly,a Multi-branch Parallel Convolution(MPC)module is employed to extract disease features across multiple scales,improving themodel’s adaptability to different disease scales.Finally,theAutoMLforModelCompression(AMC)is used to compress themodel and reduce computational complexity.Experimental results indicate that our proposed algorithm attains an average accuracy of 96.12%on our self-built tea leaf disease dataset,surpassing the original MobileNetV2 by 1.91%.Furthermore,the number of model parameters have been reduced by 40%,making itmore suitable for practical application in tea plantation environments.
文摘In order to adapt to the construction needs of the smart grid, smart substation need to solve the problem of protocol conversion between the conventional non-standardized condition monitoring equipment and the standardized monitoring system. This paper proposed a realization method of conversion method between Modbus and IEC61850. Object-oriented technology is used for information model on Modbus. After the analysis of IEC61850 and MMS information and service model, to establish the model mapping relationship between IEC61850, MMS and Modbus based on the principle of minimum information point which is one to one correspondence. Combined with the implementation of SISCO MMS-EASE LITE software development kit programming, giving a realization method using QT programming techniques based on the mapping model. Finally, the establishment the interval controller as an example of protocol scheme verifies the correctness and the feasibility of protocol conversion method.
基金supported by the National Natural Science Foundation of China (22078314, 21878286, 21908216)Dalian Institute of Chemical Physics (DICPI202142, DICPI202006, DICPI201938, DICPZZBS201805, China)
文摘To the Editor:The current coronavirus disease-19(COVID-19)pandemic spurs the development of antiviral drugs for SARS-CoV-2,as the number of patients with viral infections continues to rise globally in the context of widespread vaccination.Targeting the interaction between the receptor binding domain(RBD)of SARS-CoV-2 spike protein and the host cell ACE2 is a promising therapeutic strategy to effectively inhibit viral entry.