Method for GPU-based spectral data cube reconstruction of integral field snapshot imaging spectrometers.

In this paper, the principles of spectral data cube reconstruction based on an integral field snapshot imaging spectrometer and GPU-based acceleration are presented. The primary focus is on improving the reconstruction algorithm using GPU parallel computing technology to enhance the computational efficiency for real-time applications. And the computational tasks of the spectral reconstruction algorithm were transferred to the GPU through program parallelization and memory optimization, resulting in significant performance gains.

A trading matching model for aquatic products based on blockchain and credit mechanisms.

Current online transactions of aquatic products are often plagued by problems such as low efficiency, high platform supervision cost, insufficient trust and leakage of transaction data. Blockchain has been widely used in many different fields due to its decentralization, non-tampering and distributed data management. In order to resolve the existing problems, a blockchain-based aquatic product trading matching model integrated with credit mechanisms is proposed in this study to improve the efficiency, quality, security and satisfaction of online transactions for aquatic products.

MR-Trans: MultiResolution Transformer for medical image segmentation.

In recent years, the transformer-based methods such as TransUNet and SwinUNet have been successfully applied in the research of medical image segmentation. However, these methods are all high-to-low resolution network by recovering high-resolution feature representations from low-resolution. This kind of structure led to loss of low-level semantic information in encoder stage.

Surface topography data fusion of additive manufacturing based on confocal and focus variation microscopy.

In this paper, two innovative data fusion methods are proposed for reconstructing the surfaces produced by directed energy deposition (DED) additive manufacturing. The surface topographic data were obtained from confocal laser scanning microscopy (CLSM) and focus variation microscopy (FV). The first method (competitive data fusion) aims to improve the data quality by combining both the advantages of the CLSM and FV techniques, while the second method (cooperative data integration) is designed for generating a single representation that contains not only global information but also local details.

Coronary Heart Disease Preoperative Gesture Interactive Diagnostic System Based on Augmented Reality.

Coronary heart disease preoperative diagnosis plays an important role in the treatment of vascular interventional surgery. Actually, most doctors are used to diagnosing the position of the vascular stenosis and then empirically estimating vascular stenosis by selective coronary angiography images instead of using mouse, keyboard and computer during preoperative diagnosis. The invasive diagnostic modality is short of intuitive and natural interaction and the results are not accurate enough.