Subjects: Library Science，Information Science >> Philology submitted time 2024-04-18
Abstract： Abstract: Purpose/Significance Red periodical literature is one of the most important and unique red resources in our country, and the launching words as the founding declaration of red periodical literature have special value. Methods/Processes The text takes the red periodical literature as a research whole, takes its issuing words as the research object, applies the rooting theory to analyze the issuing words text with fine granularity, organically organizes the vocabulary, characters, geographic entities and other elements of the text, and places the red periodical literature in the background of the New Democratic Revolution, combines with the political, economic, cultural and other factors to carry out in-depth analysis, and finds the relationships, trends and patterns hidden in the red periodical literature. relations, trends and laws in the red periodical literature. Results/Conclusions The study finds that the text of the red periodical literature issuing words contains elements such as the purpose of running the publication, the social environment, the content of the publication, the style of running the publication, etc., and that it has been linked with the destiny of the country and the society since the beginning of its founding, and it is a response made by the Communist Party of China to the trend of the times under the social environment in different periods.
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Subjects: Library Science，Information Science >> Library Science submitted time 2023-10-08 Cooperative journals: 《知识管理论坛》
Abstract： [Purpose/Significance] To analyze the current status and trends of research in the field of micro-expression recognition at home and abroad, and to provide a reference for the research on microexpression information representation of users in the field of library and intelligence. [Method/Process] The bibliometric-based research method revealed the research dynamics in the field of micro-expression recognition in the last decade, and analyzed the convergence trends, technical basis and difficult challenges of micro-expression recognition and information representation. [Result/Conclusion] Micro-expression datasets and micro-expression recognition technologies are current research hotspots; technical approaches, security ethics and database volume are major challenges for today’s development; information transmission and information feedback are emerging research areas that can be developed in libraries and intelligence in the future, and areas such as meta-universe, privacy issues and technology-driven are future trends in the application of micro-expression recognition technologies.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-12 Cooperative journals: 《计算机应用研究》
Abstract： The existing AdaBoost. M2 algorithm are insufficient in protocol traffic multiclass imbalance to solve the problem. So, this thesis proposes an ensemble algorithom called RBWS-ADAM2 for the classification of multiclass internet traffic. During each iteration of AdaBoost. M2, this algorithm preprocessed the training dataset by randomly balanced resampling, this strategy changed the number of majorities and minorities by randomly setting the sampling balance point to build multiple different training datasets. Moreover, this strategy toke sample weight as the basis for sample screening to strengthen the learning of this kind of sample. The experimental comparison of RBWS-ADAM2 algorithm and other similar algorithms on the internationally published protocol traffic datasets shows that, compared to other algorithms, the proposed RBWS-ADAM2 algorithm not only improves the F-Measure of most minorities, but increases the overall G-mean and the overall average F-measure effectively, and obviously enhances the overall performance of the ensemble classifier.
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