The relevancy and accuracy of document retrieval systems are essential for information retrieval tasks, particularly in large-scale and high-dimensional datasets. This study explores the integration of Grey Wolf Optim...
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Photovoltaic (PV) system has attracted a tremendous attention of researchers as a sustainable and renewable energy source. Due to varying conditions such as temperature and irradiance, the voltage and current of PV pa...
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3D Gaussian Splatting (3DGS) has emerged as a transformative technique for real-time, high-quality 3D rendering. This paper surveys the advancements in 3DGS, focusing on optimization strategies, applications across di...
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This article focuses on selecting the best gains for PID controllers used in speed control for Permanent Magnet Synchronous Motors (PMSM). The Artificial Hummingbird Algorithm (AHA), a bio-inspired optimization method...
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作者：
Sathish, K.
Saveetha School of Engineering Department of Electronics and Communications Engineering Chennai602105 India
This proposed research uses COMSOL Multiphysics to investigate impedance tube-based parameter estimation strategies. The primary focus of this study is on acoustic and sound pressure properties, which have application...
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Passive cell balancing is a widely employed technique in battery management systems (BMS) aimed at equalizing the state of charge (SoC) or voltage among individual cells within a battery pack. Passive balancing relies...
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This study explores the integration of federated learning and Transformer models to enable collaborative and privacy-preserving deep learning for vision tasks. Federated learning is a distributed learning paradigm tha...
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ISBN:
(纸本)9798400717048
This study explores the integration of federated learning and Transformer models to enable collaborative and privacy-preserving deep learning for vision tasks. Federated learning is a distributed learning paradigm that allows training models on distributed data without sharing the original data, and Transformer models have demonstrated impressive performance in a variety of applications. We leverage the strengths of federated learning and Transformer models and apply the clustering techniques to address the challenge of privacy protection in large-scale deep learning. By combining these approaches, this research aims to develop efficient and private deep learning systems for vision applications, providing data privacy guarantees and maintaining the practicality of trained models. In the experiments, we show the proposed model can successfully identify clustering membership and perform local tasks with satisfactory accuracy and efficiency.
As articulated train is a kind of vehicle composed of tractor and semi-trailer with angular moving connection, the body structure is long, and the inner wheel difference is often large in the turning process, which po...
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ISBN:
(纸本)9798350352634;9798350352627
As articulated train is a kind of vehicle composed of tractor and semi-trailer with angular moving connection, the body structure is long, and the inner wheel difference is often large in the turning process, which poses a safety threat to pedestrians and vehicles inside the bend. In view of this, the turning dynamics model of articulated train is established in this paper, and the active steering control of the front axle of tractor and the rear axle of semi-trailer is carried out by PSO optimization model predictive control (MPC). Based on the joint simulation experiment platform of Trucksim and Simulink, the change of the position of the center of mass when the vehicle turns is analyzed. The results show that proper active steering of the front axle of the tractor and the rear axle of the semi-trailer can effectively reduce the inner wheel difference, reduce the yaw rate and improve the running stability of the articulated train.
In order to understand the network transformation and acceptance technology optimization of remote control devices, a research on network transformation and acceptance technology optimization of remote control devices...
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Wireless Sensor Networks (WSN) are focused on increasing attention to develop their potential applications in healthcare, agriculture, object tracking, and energy management. Sensor nodes are placed in random location...
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