Due to the limitations of marine environments and underwater communication technologies, underwater unmanned energy storage stations (UESS) deployed in distant seas often struggle to leverage shore-based center for co...
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Heterogeneous computing (HC) is a computing solution that can provide high performance and low power consumption for large-scale problems, and has been successfully applied to various scenarios such as 5G communicatio...
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With the rapid development of automated terminals, it has greatly contributed to the rapid economic growth. However, the rapid development of terminals has led to a rapid increase in the data that needs to be stored. ...
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In the dynamic landscape of technology, the intersection of edge computing with health care holds immense promise, especially in addressing the needs of vulnerable populations such as the elderly. This research focuse...
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Machine learning (ML) can be considered as one of the sets of tools that can improve the efficiency of business processes. Processing such arrays using machine learning methods can find additional reserves to optimize...
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The integration of artificial intelligence with antenna design and optimization represents a promising research frontier. This paper provides a concise overview of current research, emphasizing the computational cost ...
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The most intriguing task in life is vaticination in the medical field. Generally, Chronic Kidney Disease (CKD) is defined by a patient's urine abnormalities, structural abnormalities, or bloodied excretory, level ...
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In order to assist the society, industry, and agriculture, more research attention should be initiated in the weather prediction. Average Sea Surface Temperature (SST), along with other seasonal climatic variables, is...
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Wireless sensing technology represents a significant milestone in the evolution of modern wireless communication toward sensing capabilities. Current commercial WiFi devices are known to perform various non-contact de...
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ISBN:
(纸本)9798400710582
Wireless sensing technology represents a significant milestone in the evolution of modern wireless communication toward sensing capabilities. Current commercial WiFi devices are known to perform various non-contact detections, such as respiration monitoring and gesture recognition, by capturing Channel State information (CSI). However, the inherent unpredictability of signal fluctuations in real-world environments is a challenge for its application. For example, CSI is highly susceptible to environmental interference in real-world settings, which complicates its usage for the design and analysis of sensing systems. This further leads to limited availability of compatible commodity devices, making the collection of CSI datasets difficult and expensive. Therefore, the deployment of CSI devices and the method of reducing environmental interference present significant challenges in the field of wireless sensing. To effectively mitigate these issues, we employ GPU-based ray-tracing technology combined with a Variational Auto Encoder (VAE) to simulate CSI variations for analysis. Field experiments have been conducted to evaluate the performance of our simulator.
Aiming at the current problem of insufficient core loss prediction accuracy of magnetic components under complex operating conditions, this paper firstly constructs the temperature-dependent Steinmetz equation TDSE by...
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