Citrus anthracnose is a common fungal disease in citrus-growing areas in China,which causes very serious damage.At present,the manual management method is time-consuming and labor-consuming,which reduces the control e...Citrus anthracnose is a common fungal disease in citrus-growing areas in China,which causes very serious damage.At present,the manual management method is time-consuming and labor-consuming,which reduces the control effect of citrus anthracnose.Therefore,by designing and running the image retrieval system of citrus anthracnose,the automatic recognition and analysis of citrus anthracnose control were realized,and the control effect of citrus anthracnose was improved.In this paper,based on the self-collected and collated citrus anthracnose image database,we use three image features to realize an image retrieval system based on citrus anthracnose through SMV,AP clustering optimization.The results show that:1)In the accuracy of image feature retrieval,Gist feature extraction>cumulative color histogram>Gabor texture feature;2)In the maximum divergence diversity retrieval,semi-supervised AP clustering retrieval>AP clustering retrieval>SVM relevance feedback results>initial retrieval.3)Practice shows that this technology can reduce the workload of monitoring and management in the control process of citrus planting area,and promote the intelligent and efficient control of citrus anthracnose,which has high practical application value.展开更多
The traditional method first classifies the user information and combines the query method to retrieve the interest information, but neglects to calculate the weight of the user interest information, which leads to th...The traditional method first classifies the user information and combines the query method to retrieve the interest information, but neglects to calculate the weight of the user interest information, which leads to the low retrieval accuracy. A retrieval method based on the fuzzy proximity classification technology is proposed. Approximation between the fuzzy sets is used to represent the consistency between the user interest information features, and the consistency calculation formula and the skewness confidence matrix between the user interest information features are given. The fuzzy classification of the user interest information can obtain the most consistent confidence data and eliminate the redundant approximation interference data. The probabilistic model of the information word frequency and the user interest information length calculates the weight of the user interest information, and adjusts the weight formula constantly.展开更多
With the development of big data,all walks of life in society have begun to venture into big data to serve their own enterprises and departments.Big data has been embraced by university digital libraries.The most cumb...With the development of big data,all walks of life in society have begun to venture into big data to serve their own enterprises and departments.Big data has been embraced by university digital libraries.The most cumbersome work for the management of university libraries is document retrieval.This article uses Hadoop algorithm to extract semantic keywords and then calculates semantic similarity based on the literature retrieval keyword calculation process.The fast-matching method is used to determine the weight of each keyword,so as to ensure an efficient and accurate document retrieval in digital libraries,thus completing the design of the document retrieval method for university digital libraries based on Hadoop technology.展开更多
Relying on the advanced information technologies, such as information monitoring, data mining, natural language processing etc., the dynamic technology early-warning system is constructed. The system consists of techn...Relying on the advanced information technologies, such as information monitoring, data mining, natural language processing etc., the dynamic technology early-warning system is constructed. The system consists of technology information automatic retrieval, technology information monitoring, technology threat evaluation, and crisis response and management subsystem, which implements uninterrupted dynamic monitoring, trace and crisis early-warning to the specific technology. Empirical study testifies that the system improves the accuracy, timeliness and reliability of technology early-warning.展开更多
在人工智能领域的不断进化中,大语言模型(Large Language Model,LLM)应用成了当前的热点和前沿技术之一。过去几年中,检索增强生成(Retrieval-Augmented Generation,RAG)技术的快速发展为LLM带来了新的发展机遇。RAG技术通过结合强大的...在人工智能领域的不断进化中,大语言模型(Large Language Model,LLM)应用成了当前的热点和前沿技术之一。过去几年中,检索增强生成(Retrieval-Augmented Generation,RAG)技术的快速发展为LLM带来了新的发展机遇。RAG技术通过结合强大的语言模型与信息检索系统,在复杂的问题解决和信息处理任务中提供更加精确和深入的答案,并且不断优化和扩展其应用范围。文章基于LLM应用研究,结合RAG技术和智能化知识平台,探索了LLM在强度智能化知识管理中的应用,为企业的创新研发和产品设计提供更加智能化、高效、准确的支持。展开更多
基金supported in part by the National Natural Science Foundation of China under Grant 61772561in part by the Key Research and Development Plan of Hunan Province under Grant 2018NK2012+2 种基金in part by the Science Research Projects of Hunan Provincial Education Department under Grant 18A174in part by the Degree&Postgraduate Education Reform Project of Hunan Province under Grant 209and in part by the Postgraduate Education and Teaching Reform Project of Central South University of Forestry&Technology under Grant 2019JG013.
文摘Citrus anthracnose is a common fungal disease in citrus-growing areas in China,which causes very serious damage.At present,the manual management method is time-consuming and labor-consuming,which reduces the control effect of citrus anthracnose.Therefore,by designing and running the image retrieval system of citrus anthracnose,the automatic recognition and analysis of citrus anthracnose control were realized,and the control effect of citrus anthracnose was improved.In this paper,based on the self-collected and collated citrus anthracnose image database,we use three image features to realize an image retrieval system based on citrus anthracnose through SMV,AP clustering optimization.The results show that:1)In the accuracy of image feature retrieval,Gist feature extraction>cumulative color histogram>Gabor texture feature;2)In the maximum divergence diversity retrieval,semi-supervised AP clustering retrieval>AP clustering retrieval>SVM relevance feedback results>initial retrieval.3)Practice shows that this technology can reduce the workload of monitoring and management in the control process of citrus planting area,and promote the intelligent and efficient control of citrus anthracnose,which has high practical application value.
文摘The traditional method first classifies the user information and combines the query method to retrieve the interest information, but neglects to calculate the weight of the user interest information, which leads to the low retrieval accuracy. A retrieval method based on the fuzzy proximity classification technology is proposed. Approximation between the fuzzy sets is used to represent the consistency between the user interest information features, and the consistency calculation formula and the skewness confidence matrix between the user interest information features are given. The fuzzy classification of the user interest information can obtain the most consistent confidence data and eliminate the redundant approximation interference data. The probabilistic model of the information word frequency and the user interest information length calculates the weight of the user interest information, and adjusts the weight formula constantly.
文摘With the development of big data,all walks of life in society have begun to venture into big data to serve their own enterprises and departments.Big data has been embraced by university digital libraries.The most cumbersome work for the management of university libraries is document retrieval.This article uses Hadoop algorithm to extract semantic keywords and then calculates semantic similarity based on the literature retrieval keyword calculation process.The fast-matching method is used to determine the weight of each keyword,so as to ensure an efficient and accurate document retrieval in digital libraries,thus completing the design of the document retrieval method for university digital libraries based on Hadoop technology.
基金Sponsored by Excellent Young Scholars Research Fund of Beijing Institute of Technology (c2007Y0820)Program for New Century Excellent Talents in University (NCET)"985" Philosophy and Social Science Innovation Base of the Ministry of Education(107008200400024)
文摘Relying on the advanced information technologies, such as information monitoring, data mining, natural language processing etc., the dynamic technology early-warning system is constructed. The system consists of technology information automatic retrieval, technology information monitoring, technology threat evaluation, and crisis response and management subsystem, which implements uninterrupted dynamic monitoring, trace and crisis early-warning to the specific technology. Empirical study testifies that the system improves the accuracy, timeliness and reliability of technology early-warning.
文摘在人工智能领域的不断进化中,大语言模型(Large Language Model,LLM)应用成了当前的热点和前沿技术之一。过去几年中,检索增强生成(Retrieval-Augmented Generation,RAG)技术的快速发展为LLM带来了新的发展机遇。RAG技术通过结合强大的语言模型与信息检索系统,在复杂的问题解决和信息处理任务中提供更加精确和深入的答案,并且不断优化和扩展其应用范围。文章基于LLM应用研究,结合RAG技术和智能化知识平台,探索了LLM在强度智能化知识管理中的应用,为企业的创新研发和产品设计提供更加智能化、高效、准确的支持。
