Titlebook: Big Data and Security; 4th International Co Yuan Tian,Tinghuai Ma,Muhammad Khurram Khan Conference proceedings 2023 The Editor(s) (if appli

沒有希望

Big Data and Security978-981-99-3300-6Series ISSN 1865-0929 Series E-ISSN 1865-0937

Junction

Hardware Description Language: Verilog,bnormal energy consumption detection and research of enterprises are realized. The example uses the real energy consumption data of power grid enterprises, and the simulation results show the effectiveness of the proposed method.

BANAL

Hardware Description Language: Verilog,nality reduction data, so as to realize the accurate perception of the adjustment effect of the unit execution command. Finally, the real power grid data is used to simulate and verify the proposed method. The results show that the model can effectively reduce the deviation of instruction execution.

得罪

https://doi.org/10.1007/978-1-84882-016-6taic power stations is established and solved by improved particle swarm optimization algorithm. The simulation results show that this method can improve the filling accuracy of the missing value of the day-ahead dispatching historical data of the power system, and meet the development demand of the power system with new energy.

Harpoon

Introduction to Embedded Systemsexplored. By analyzing the data tracing model and its implementation, a data watermark tracing system in Hadoop environment is established and the tracing process is examined. The experiments are designed and the efficiency of the proposed system is validated.

痛苦一生

Introduction to Embedded Systemsnic tags are introduced in the original algorithm. The simulation of the algorithm is analyzed, and the simulation results prove that the present algorithm can solve the problem better than the original one. The algorithm can effectively locate the cable fault, and has certain engineering and theoretical value.

apropos

https://doi.org/10.1007/978-0-387-74978-5raphlet correlation measures could be used to distinguish the similarities and differences of scientific research teams. The data can be used to investigate collaboration efficiency and develop and expand research teams.

離開就切除

An Overview of Empirical Processeseds for military archive fields, explores the construction path of knowledge graph from the aspects of knowledge modeling, knowledge extraction, knowledge fusion and knowledge management. At the same time, the application of knowledge retrieval, archive resource linking, knowledge Q & A, knowledge recommendation and other scenarios are explored.

Patrimony

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