Ensuring safety in smart buildings is crucial due to the increasing prevalence of smoke and fire hazards in modern environments. This paper introduces a novel privacy-preserving FL approach based on a CNN1D for smoke ...
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ISBN:
(数字)9798331527396
ISBN:
(纸本)9798331527402
Ensuring safety in smart buildings is crucial due to the increasing prevalence of smoke and fire hazards in modern environments. This paper introduces a novel privacy-preserving FL approach based on a CNN1D for smoke and fire detection in smart buildings. Our system integrates data from wearable environmental sensors to train a lightweight, edge-deployable DL-CNN1D model, ensuring data privacy while enabling collaborative learning across distributed clients using Federated Averaging (FedAvg) aggregation. Experiments conducted on a comprehensive air measurement dataset for smoke and fire detection demonstrate exceptional performance, with the global model achieving 99.97% accuracy, 99.96% precision, in smoke and fire recognition. Our model demonstrates a low communication cost of 0.4 MB, underscoring its efficiency for real-time applications. Our FL-based approach represents a significant step towards balancing the need for robust safety systems with growing privacy concerns in smart building environments.
An experiment (LODEWAVE) was conducted from January to February 2022 to measure the atmospheric gravity wave over the Antarctica using a super pressure balloon and the PANSY radar located at Syowa Station in the Antar...
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ISBN:
(数字)9784902339567
ISBN:
(纸本)9781665451086
An experiment (LODEWAVE) was conducted from January to February 2022 to measure the atmospheric gravity wave over the Antarctica using a super pressure balloon and the PANSY radar located at Syowa Station in the Antarctica. The short burst communication of the Iridium satellite was used for communication with the balloon. In this paper, we report the experimental results on the error of the position information of the balloon and the communication quality due to the use of Iridium over Antarctica.
Human female breast is composed of skin, fibrous tissue, breast glands and fat. Breast cancer is a malignant tumor that occurs in the epithelial tissue of breast glands. The breast is not an important organ for mainta...
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Radiologists possess diverse training and clinical experiences, leading to variations in the segmentation annotations of lung nodules and resulting in segmentation uncertainty. Conventional methods typically select a ...
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In this paper,the asynchronous controller problem is considered for Markov jump systems(MJSs) subject to actuator *** asynchronous phenomenon between the controller and the plant is addressed by introducing a hidden M...
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In this paper,the asynchronous controller problem is considered for Markov jump systems(MJSs) subject to actuator *** asynchronous phenomenon between the controller and the plant is addressed by introducing a hidden Markov model and the closed-loop hidden MJSs are *** on the closed-loop hidden MJSs and using convex hull technique and linear matrix inequality technique,a controller design algorithm is derived to ensure that the closed-loop hidden MJSs satisfy the stochastic ***,a numerical example is provided to demonstrate the effectiveness of the proposed asynchronous controller design algorithm.
This paper pioneers the direct numerical simulation (DNS) and physical analysis in supersonic three-temperature carbon dioxide (CO2) turbulent channel flow. CO2 is a linear and symmetric triatomic molecular, with the ...
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Facial expressions are often expressed through specific key areas of the face. Currently, facial expression recognition has garnered widespread attention and become a trending research topic in human–computer interac...
Facial expressions are often expressed through specific key areas of the face. Currently, facial expression recognition has garnered widespread attention and become a trending research topic in human–computer interaction, healthcare, and virtual reality. However, the inter-class similarity degree is rather high between different expressions, which may lead to difficulties in feature extraction and high computational complexity in classification. In this article, we introduce a new Facial Expression Recognition framework named FERmc, which is based on Multi-branch Fusion and Depthwise Separable Convolution. Specifically, we design a neural network with multiple convolutional branches to adaptively capture features with different scales from the images. By employing attention modules, the designed network can automatically focus on the most discriminative local regions on the images, thereby improving the robustness of feature representation. Moreover, FERmc can enhance the efficiency and effectiveness with the attention mechanism in feature extraction. To evaluate the performance of FERmc, extensive experiments are conducted over three facial expression recognition datasets. The performance analysis indicates that FERmc can achieve high performance and significantly outperform other benchmark algorithms, demonstrating the superiority and effectiveness of FERmc in recognition tasks for facial expression.
According to fractional order model, the governing equation of viscoelastic plate is established. Using the properties of the shifted Bernstein polynomials, the fractional order equation of viscoelastic plate is resol...
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Many deep learning based methods have been proposed for retinal vessel segmentation, however few of them focus on the connectivity of segmented vessels, which is quite important for a practical computer-aided diagnosi...
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Remote measurement of animal pose and motion is essential in neuroscience and robotics. However, subjects like rats often appear as small objects in open environments, occupying a minimal field of view. The scarcity o...
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