Small and Medium Enterprises (SMEs) face numerous technological barriers in new creative technologies (CTs) adoption efforts, including artificial intelligence, generative algorithms, large language models and other i...
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In this paper, a feed drive system using a DC servo motor for the driven mechanism is investigated. The controllers for this position servo system are suggested with strict requirements as fast response with no oversh...
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Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large systems with numerous multivariate data se...
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ISBN:
(纸本)9798350365924;9798350365917
Identifying outlier behavior among sensors and subsystems is essential for discovering faults and facilitating diagnostics in large systems. At the same time, exploring large systems with numerous multivariate data sets is challenging. This study presents a lightweight interconnection and divergence discovery mechanism (LIDD) to identify abnormal behavior in multi-system environments. The approach employs a multivariate analysis technique that first estimates the similarity heatmaps among the sensors for each system and then applies information retrieval algorithms to provide relevant multi-level interconnection and discrepancy details. Our experiment on the readout systems of the Hadron Calorimeter of the Compact Muon Solenoid (CMS) experiment at CERN demonstrates the effectiveness of the proposed method. Our approach clusters readout systems and their sensors consistent with the expected calorimeter interconnection configurations, while capturing unusual behavior in divergent clusters and estimating their root causes.
Large language models (LLMs), such as ChatGPT, have demonstrated remarkable capability in question answering but face challenges when it comes to knowledge-based rea-soning, such as limited training data and hallucina...
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This paper is concerned with control design methods via a new Lyapunov function for fuzzy descriptor systems. Takagi-Sugeno fuzzy descriptor model, that can represent nonlinear systems, are divided into two families: ...
The production of palm oil on a commercial scale is labour intensive with many of its processes handled by humans. In some countries, there can be as many as 500,000 plantation workers in the palm oil sector involved ...
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Critical infrastructure systems have been preyed on by cyber criminals that target to disrupt their operations and national security. Among the most nefarious attacks, the Distributed Denial of Service (DDoS) attack i...
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ISBN:
(纸本)9798350375367
Critical infrastructure systems have been preyed on by cyber criminals that target to disrupt their operations and national security. Among the most nefarious attacks, the Distributed Denial of Service (DDoS) attack is wreaking havoc on the Telecommunications sector. This paper invests in the vision that Artificial Intelligence (AI) plays an important role in shoring up the cybersecurity of critical infrastructure providers by detecting and classifying malicious engagements. In this respect, we propose an efficient and dependable DDoS specialized intrusion section system (IDS). The proposed system is empowered by Graph Convolutional Networks (GCN), a deep learning technique, which is capable of capturing the topological and statistical information between the attack network and the victim network. The results show that the proposed GCN IDS can detect and classify multiple variations of DoS with a high confidence level.
This study investigates the feasibility of incorporating the broad learning (BL) model in federated learning. Traditional deep learning-based federated learning encounters challenges such as excessive communication vo...
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Pollution and fossil fuels are being strongly concerned. Electric vehicles were developed to solve a part of this problem. The source of energy used for electric vehicles is electricity, in order to optimize the using...
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In this study, we developed a process of heuristically searching and selecting the optimal viewpoint for capturing a good composition of a group of moving subjects with an autonomous indoor drone camera. The subjects ...
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