In this paper, we study the consistency verification technology for multi-party collaborative privacy-preserving operations of energy bigdata, and propose a consistency assessment algorithm based on minimum hash sign...
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ISBN:
(纸本)9798350386783;9798350386776
In this paper, we study the consistency verification technology for multi-party collaborative privacy-preserving operations of energy bigdata, and propose a consistency assessment algorithm based on minimum hash signatures for the privacy and consistency challenges in energy bigdata processing. the algorithm realizes the assessment of the consistency of the target dataset through data compression and signature design of the data source, avoids direct access to the original data, and guarantees data privacy and consistency of processing results. the experimental results show that the algorithm is able to effectively assess data consistency on energy bigdatasets such as electricity and gas consumption, and the results are close to the exact algorithm with high credibility and efficiency.
In the era of bigdata, the development of mobile Internet and the popularity of mobile terminals have formed a huge amount of trajectory data of mobile objects, and the trajectory data contains rich spatial and tempo...
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this paper proposes a comprehensive approach that combines bigdata analysis techniques with mathematical models for design optimization and health monitoring in civil and structural engineering. the study collects re...
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Withthe development of wireless communication technology, the electromagnetic space environment becomes more and more complex, so it is particularly important to effectively analyze the intelligent data of electromag...
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the proceedings contain 187 papers. the topics discussed include: research and design of process automation robots based on BiLSTM-CRF;an improved genetic algorithm for predicting road roughness coefficient;an innovat...
ISBN:
(纸本)9798331506612
the proceedings contain 187 papers. the topics discussed include: research and design of process automation robots based on BiLSTM-CRF;an improved genetic algorithm for predicting road roughness coefficient;an innovative study on the design of Silankappu cultural creation under the threshold of service design;urban drainage network overflow risk prediction based on fuzzy brain emotional learning;airborne reconfigurable data processing and analysis technology based on air-ground bidirectional link;context-aware grammatical error correction model;a review of key technologies for time-series data storage in embedded environments;multi-relational network layer node immunization strategy based on multi-particle random walk;a gesture recognition algorithm based on deep learning;and an improved UAV image small target detection method based on YOLOv8.
Nowadays, industrial control system networks generate massive network communication data during their operation, characterized by large volume, diverse attributes, significant noise, rapid changes, and strong sparsity...
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ISBN:
(纸本)9798350386783;9798350386776
Nowadays, industrial control system networks generate massive network communication data during their operation, characterized by large volume, diverse attributes, significant noise, rapid changes, and strong sparsity. Effectively and rapidly identifying network attack features from this data poses a challenging problem. this paper explores a dimensionality reduction model for network security bigdata, conducts an analysis of network security data features under the context of bigdata, and proposes a method for extracting industrial control network security data features based on a composite kernel sparse autoencoder. this method proves to be effective in enhancing the recognition rate of network security feature extraction.
Due to the poor response performance and data security performance of the current data sharing platform, the design of industrial Internet bigdata sharing platform based on machine learning under the double carbon ba...
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the purpose of this paper is to discuss the application of bigdatatechnology in the monitoring and optimization of railway switch machines, and to sort out the current research status and development trends in relat...
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Weather forecasting is an important function in a variety of activities such as agriculture, environment monitoring, and disaster management among others. Today withthe development of technology, vast amounts of mete...
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this study examines the enhancement of library archive systems through genetic algorithms, focusing on improving information retrieval accuracy and efficiency in the era of big *** results show significant performance...
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