A rare-earth spectral traceability anti-counterfeiting detection technology

In this paper, a rare-earth spectral traceability anti-counterfeiting detection technology is proposed. Configure rare-earth samples No.1, No.2 and No.3 with different doping ratios. The spectral signals of these three samples are collected and integrated into a sample library. The traceability anti-counterfeiting detection is to compare the spectral information of the samples to be tested with the established sample library by selecting specific wavelength points for light intensity values. If the sample to be measured meets the light intensity range of the established sample library at a specific wavelength point, the sample model will be output. If it does not meet the light intensity range, the sample to be tested is fake. After testing, the anti-counterfeit rate of samples No.1, No.2 and No.3 can reach 100%. This testing process does not destroy the sample, and the anti-counterfeit effect is unique and reliable.     

Research and Implementation of Parallel Artificial Fish Swarm Algorithm Based on Ternary Optical Computer

Mobile Networks and Applications - Artificial fish swarm algorithm (AFS) is used in the field of function optimization problems widely. The traditional AFS algorithm has some problems such as long...     

Applying deep learning in football ankle injury for value of high-power magnetic resonance bioimaging evaluation

The Journal of Supercomputing - This study was to evaluate the performance of magnetic resonance imaging (MRI) reconstruction algorithm based on convolutional neural network (CNN) in the diagnosis...     

关于APP跨类别交叉推广的精准营销小数据设计研究

目的挖掘大学生群体的潜在需求,辅助企业进行交叉推广的精准营销,在信息筛选上以更有针对性的方式设计移动端产品。方法收集大学生群体使用手机超过6600个APP的小数据,运用统计学相关性原理对跨类别应用进行相关性分析。结论小数据分析发现大学生群体对社交类的兴趣偏好最强,其中女性更关注摄影与录像类。相关性方面,生活类、旅游类、美食佳饮类三者之间的相关性最高。交叉推广的方式上,健康健美类与导航类可以依附于摄影与录像类,音乐类和效率类可以依附于社交类进行辅助推广,而摄影与录像类和生活类可以相互推广,男性群体中的参考类和女性群体中的新闻类,均可和商务类以及图书类相互推广。可将兴趣偏好、相关性以及兴趣偏差纳入大学生群体的交叉推广中,进行信息筛选和设计。     

A novel PMA/PEG-based composite polymer electrolyte for all-solid-state sodium ion batteries

In recent years, development of all-solid-state batteries has become a promising approach to improve the safety of batteries. Herein, we report the preparation of a new composite polymer electrolyte (CPE) for use in all-solid-state sodium ion batteries. The CPE comprising of poly(methacrylate) (PMA), poly(ethylene glycol) (PEG), α-Al₂O₃ with acidic surface sites, and NaClO₄ exhibited high ionic conductivity (1.46 × 10^-4 S·cm^-1 at 70 °C), wide electrochemical stability window (4.5 V vs. Na⁺/Na), and good mechanical strength. With the introduction of the prepared CPE and Na₃V₂(PO₄)₃, the final all-solid-state sodium ion batteries showed good rate and cycle performance, with a high reversible capacity of 85 mAh·g^-1 when operated at 0.5 C (1 C = 118 mA·g^–1) and 94.1% capacity retention rate after 350 cycles at 70 °C. Our work provides a novel solid electrolyte for the development of all-solid-state sodium ion batteries.

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Residual Feature Attentional Fusion Network for Lightweight Chest CT Image Super-Resolution

The diagnosis of COVID-19 requires chest computed tomography (CT). High-resolution CT images can provide more diagnostic information to help doctors better diagnose the disease, so it is of clinical importance to study super-resolution (SR) algorithms applied to CT images to improve the resolution of CT images. However, most of the existing SR algorithms are studied based on natural images, which are not suitable for medical images; and most of these algorithms improve the reconstruction quality by increasing the network depth, which is not suitable for machines with limited resources. To alleviate these issues, we propose a residual feature attentional fusion network for lightweight chest CT image super-resolution (RFAFN). Specifically, we design a contextual feature extraction block (CFEB) that can extract CT image features more efficiently and accurately than ordinary residual blocks. In addition, we propose a feature-weighted cascading strategy (FWCS) based on attentional feature fusion blocks (AFFB) to utilize the high-frequency detail information extracted by CFEB as much as possible via selectively fusing adjacent level feature information. Finally, we suggest a global hierarchical feature fusion strategy (GHFFS), which can utilize the hierarchical features more effectively than dense concatenation by progressively aggregating the feature information at various levels. Numerous experiments show that our method performs better than most of the state-of-the-art (SOTA) methods on the COVID-19 chest CT dataset. In detail, the peak signal-to-noise ratio (PSNR) is 0.11 dB and 0.47 dB higher on CTtest1 and CTtest2 at SR compared to the suboptimal method, but the number of parameters and multi-adds are reduced by 22K and 0.43G, respectively. Our method can better recover chest CT image quality with fewer computational resources and effectively assist in COVID-19.     

软件实现主备倒换的设计

提出了一种软件实现通信系统主备倒换的改进机制,并且适用于多模软基站通信系统。一方面,数据同步和链路切换不再同时进行,数据同步放在了预倒换阶段,从而大大缩短了主备倒换时间;另一方面,备倒主(备状态切换为主状态)先于主倒备进行,即不允许出现软件双备的情况,保证系统在任何情况下都有可用的主控板。并且该机制适用于未来基站的发展趋势——多模软基站通信系统,针对于正常倒换和异常倒换两类情况,通过倒换条件判断,预倒换、备倒主、主倒备的顺序完成主备倒换来实现主备之间的快速可靠切换。并且该机制对倒换失败的情况做了恰当的处理。     

理想条件下混合态量子系统的Lyapunov稳定化策略

在假定被控系统满足非退化、没有退化跃迁和完全连通的理想条件下,借助于带有附加自由度的Lyapunov函数研究了混合态量子系统的稳定化问题.基于LaSalle原理推导了闭环系统的最大不变集和任一初始态下的收敛状态集,给出了系统对最大不变集中任一平衡态渐近稳定化的自由度的构造原则.最后通过一个两能级系统的数值仿真,验证了所得理论结果的正确性.     

DSP外部Flash存储器在线编程的软硬件设计

详细介绍DSP与Flash存储器的两种硬件接口方式及在线编程,分析了两种硬件接口方式下在线编程的区别,给出了相应的在线编程核心代码并在实际电路上测试通过,可作为DSP嵌入式系统设计的参考。