This paper adopts a microservice architecture to design an intelligent monitoring system for rail transit platforms. The system relies on high-definition video surveillance and utilizes technologies such as video unde...
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Sentiment analysis is a technique of analyzing text to determine the emotion of the message. The main objective of this sentiment analysis is to investigate whether Indonesian citizens on the platform X felt positive,...
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CSN s are integrating cognitive abilities, making it challenging to achieve optimized cross-layer performance with limited resources. Non-coordinated techniques typically demonstrate lower proficiency in dynamic spect...
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The third-generation computer is the first computer that allows users to interact with keyboards and monitors. A keyboard is a hardware device used to enter letters, numbers, special characters, and commands into a co...
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Advanced technology such as microrobots and nanorobots have the potential to completely transform the healthcare industry. These tiny robotic devices provide fine control for a range of biological applications since t...
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In the field of predictive modeling for criminal justice applications, the dual challenges of ensuring fairness and maintaining interpretability are crucial. This paper addresses these challenges by introducing a new ...
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In the context of the large-scale integration of renewable energy units into the grid, the coordinated operation of multiple energy types has become imperative for grid development. This paper begins by analyzing the ...
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In image classification, an image often has multiple labels, but it is expensive to obtain accurate label information. The main task of partial multi-label learning (PML) is to learn in weakly supervised conditions wh...
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The structure of the rocket-borne model is inherently complex, with processed images exhibiting high resolution and generating substantial amounts of data and calculations. Achieving robust real-Time computing on an e...
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ISBN:
(纸本)9798331531881
The structure of the rocket-borne model is inherently complex, with processed images exhibiting high resolution and generating substantial amounts of data and calculations. Achieving robust real-Time computing on an embedded platform poses significant challenges due to strictly limited resources, power consumption constraints, and size limitations. Our review of rocket-borne applications reveals considerable variability in the design resources of different devices, indicating a need for expanded design approaches. Upon evaluating existing methods, we identified two primary drawbacks. First, certain operators within the high-resolution target detection model are difficult to parallelize, resulting in significant inference delays that hinder the ability to meet task requirements. Although existing methods have been extended, there remains significant potential for performance enhancement in core scheduling for poor acceleration. This paper proposes an optimized architecture for the target detection algorithm accelerator designed for high-resolution images, along with a novel highly parallel data pre-processing and post-processing module implemented on FPGA to address these issues. Compared to the ARM implementation, this architecture demonstrates an improved performance of 24.64x. Furthermore, to ensure flexible application across various rocket launch scenarios, we introduce an optimization structure for convolution, pooling, and fusion operators and a multi-core expansion optimization method. This approach yields a 1.29x improvement in computing unit utilization compared to state-of-The-Art multi-core scaling efforts. Finally, we assessed the accelerator architecture across multiple FPGA platforms, achieving a peak processing element utilization rate of 99.71% for a single core and layer. The overall computing efficiency, excluding the first layer, exceeded 90%. The peak computing power for the four cores reached 1638.4 GOPS, and the end-To-end computation time for
With the rapid development of remote sensing technology, road segmentation of high-resolution remote sensing images remains a challenging task due to the complexity of road structures and the diversity of image resolu...
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