This research paper presents a comprehensive voice analysis system capable of detecting artificial speech and accurately predicting the gender and age of the speaker. Leveraging machine learning, acoustic features, an...
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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 big data, conducts an analysis of network security data features under the context of big data, 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.
DC transmission technology and DC grid technology is one of the effective technical ways to solve the offshore wind power delivery system, high-voltage and large-capacity DC transformer is the key equipment to connect...
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To solve control problems of pure-feedback multi-input extremum seeking systems based on state feasible domain constraint, extremum seeking method, backstepping control and adaptive control were combined. Firstly, sys...
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This paper proposes a novel method to resist Spectrum Sensing Data Falsification (SSDF) attacks using the optimized Support Vector Machine (SVM). The proposed method involves the optimization of SVM kernel parameters,...
One of the reasons for the restriction of the development of microgrid fault diagnosis and flexibility is that the initial modeling contains many uncertainties and variables. At present, there is a lack of optimal mod...
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With the rapid growth of online content, there is an increasing demand for efficient tools that facilitate content understanding and knowledge retention. This research focuses on the development of an AI-powered syste...
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This paper adopts a microservice architecture to design an intelligent monitoring system for rail transit platforms. The system relies on high-definition video surveillance and utilizes technologies such as video unde...
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In this paper, we propose an monitoring system employing an edge AI module. The proposed system reduces latency and alleviates data leakage issue with an edge AI module. In addition, power efficiency was optimized by ...
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ISBN:
(纸本)9781665491303
In this paper, we propose an monitoring system employing an edge AI module. The proposed system reduces latency and alleviates data leakage issue with an edge AI module. In addition, power efficiency was optimized by implementing a wake-up function depending on human detection results. In order to verify the feasibility of the entire system, we implemented the edge AI module on field programmable gate array (FPGA). The accuracy of movement detection was measure at 0.953.
This paper explores and envisions a collaboration between Facial Expression Recognition (FER) and Generative Artificial Intelligence (GenAI) to create an advanced human-computer interaction (HCI) experience. Deep lear...
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