In this work, a post-processing module based on Cressman's method of objective analysis is added to the Wind Energy Simulation Toolkit in order to improve the accuracy of the numerical wind atlas of Cuba. Mean win...
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In this work, a post-processing module based on Cressman's method of objective analysis is added to the Wind Energy Simulation Toolkit in order to improve the accuracy of the numerical wind atlas of Cuba. Mean wind speed surface observations at 35 meteorological stations and mean wind speed observations at 10, 30, 50, and 100 m height above ground level collected at a network of 58 observation towers are assimilated in the Cressman analysis. Furthermore, the 3-year numerical wind atlas generated for the same period of time is considered as the first guess for the Cressman method. A new wind atlas of Cuba is generated and verified using observation records at 32 meteorological stations and 10 observation towers distributed over the country. In addition, the capability of the new post-processing scheme to adding information on the temporal variability of the wind resource is explored.
In image processing, deep learning networks have been continuously developed and are used in many fields. However, most networks do not reflect image continuity. In this paper, we propose a novel bunch-of-keys module ...
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In image processing, deep learning networks have been continuously developed and are used in many fields. However, most networks do not reflect image continuity. In this paper, we propose a novel bunch-of-keys module connected to the backend of a deep learning network to improve the detector performance on sequential images. This module optimizes existing deep learning networks to detect sequential images without retraining. This procedure reduces time and computing costs, and the average precision improves with a minimal drop in the frames per second. By adopting a sliding window method that uses three consecutive images, the keys are generated by comparing the positions of the detected boxes for each of the images using generalized intersection over union. The two key types perform correcting operations. The rectifying key has the effect of adding or merging undetected bounding boxes in mid-frame. The tracking key has the effect of compensating for bounding boxes lost for no reason in the third frame. The candidate box extracted using each key determines whether to add or merge to the target image in the correction task. This task calculates the complete intersection over union (CIoU) score between candidate boxes and all boxes of the target image and is divided into add or merge cases according to a set of CIoU criterion. As a result of adding or merging the bounding box to the missing object, detection performance was improved up to 3% in terms of the average precision.
With the rapid development of science and technology, the operation and calculation in synthetic aperture radar (SAR) imaging systems require high throughput, and the system has high requirement for real-time performa...
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With the rapid development of science and technology, the operation and calculation in synthetic aperture radar (SAR) imaging systems require high throughput, and the system has high requirement for real-time performance. At the same time, in the SAR imaging technology, many Vandermonde matrix inversion operations are used in places where the weight coefficients are calculated. Especially when multi-channel inverse filtering is performed, the use of the Vandermonde matrix inversion operation is a crucial step. In this study, the authors worked hard to find a high speed and accurate Vandermonde matrix inversion algorithm for complex SAR imaging systems. Considering the field-programmable gate array (FPGA) can be parallel computing and its computing speed is high, the authors chose FPGA to achieve a large number of Vandermonde matrix inversion calculation, and it can meet the requirements of high speed and real time. So, first the realisation method of the fast inversion of the Vandermonde matrix based on Lagrange interpolation polynomial is discussed in this study, which includes preprocessingmodule, u matrix calculation module, v matrix calculation module, p' vector calculation module and post-processing module. Then, the simulation results of the design are compared and analysed, which proved the correctness and feasibility of the rapid inversion method of Vandermonde matrix.
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