In recent years, applications ranging from underwater navigation and construction to environmental monitoring and marine resource management have driven an escalating need for accurate and comprehensive bathymetric ma...
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With the growth of age, the body function of the elderly gradually declines, and falling has become the main factor endangering the life safety of the elderly. In order to solve the problem of the lack of data support...
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The rapid development of intelligent transportation technology has promoted the progress of multiple trains cooperative technology. This paper proposes an online cooperative cruise control method based on improved par...
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The expansion of the Internet of Things (IoT) has made it possible for numerous widespread objects to connect to one another and communicate with one another, leading to unprecedented data releases. However, regardles...
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This technical summary examines the design and violation analysis of analog and virtual circuits with bilateral complementary switches. The primary consciousness is on examining the electric traits and operation of sw...
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Residue theorem is an important part of complex variable functions, and its theorems have been widely used in real life, such as mathematics, physics and computer fields, but because the residue theorem is the most di...
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Spiking Neural Networks (SNN) are biologically inspired networks working on the principle of communication triggered while crossing of threshold potentials. During the COVID-19 pandemic, immunity has been acquired by ...
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adverse transfer learning for Left Ventricle Segmentation in Cardiac CT photos is an emerging method in clinical photograph analysis. It pursues to transfer the learned expertise from a source area to a goal area, tha...
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In the context of the Industrial Internet of Things (IIoT), multiple access edge computing (MEC) enables the provision of computational resources closer to users. The work presented in this paper explores a common IIo...
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ISBN:
(纸本)9781728190549
In the context of the Industrial Internet of Things (IIoT), multiple access edge computing (MEC) enables the provision of computational resources closer to users. The work presented in this paper explores a common IIoT application scenario wherein autonomous mobile robots (AMR) operate in a MEC-enabled network and depend on multimedia content stored at the MEC servers over the course of operation. The age of information (AoI) metric is used to measure the freshness of the cached content from the perspective of the AMR. At the same time, the energy cost associated with refreshing the cache files is simultaneously considered as well. This paper delves into achieving an optimal trade-off between minimizing the weighted AoI cost and the energy expended for cache refreshing. We address this problem by introducing a cache refreshing-deep deterministic policy gradient (CR-DDPG) algorithm, a model-free deep reinforcement learning method, to optimize both AoI and energy usage. Various simulation studies are conducted to evaluate the proposed CR-DDPG algorithm, and the results demonstrate that CR-DDPG consistently outperforms its baseline counterparts, rendering it a robust approach for cache-refreshing in dynamic IIoT environments.
Based on information push, pilot's information recognition is of great significance for air combat situation awareness. In modern aviation system, information push is more complicated and generally multi-channel. ...
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ISBN:
(纸本)9798350379860;9798350379877
Based on information push, pilot's information recognition is of great significance for air combat situation awareness. In modern aviation system, information push is more complicated and generally multi-channel. Under this background, more and more research are made on the efficiency improvement of information push. In this paper, an instigate about multi-channel information push efficiency is conducted. A push efficiency evaluation model is studied based on the combination of subjective and objective method. Then, experiment is designed and implemented to make exploration about the potential impact factors of push efficiency, including noise level, screen number and push method, and to establish and verify the proposed evaluation model. Based on the experiment and data analysis, an evaluation model combining of attention allocation model, situation awareness model and cognitive load model is built and validated. A radar chart is adopted to demonstrate the evaluation result of information push efficiency of different systems. As a conclusion, voice information push is of higher efficiency comparing with text information push and voice-text information push.
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