基于矩阵输入的ERP系统订单改进方案

本文在传统ERP系统的基础上,针对服饰、鞋帽、拉链等具有多属性产品的制造行业,提出一种运用矩阵输入对销售订单的改进方案。它从订单的特点出发,建立一般订单模型,详细介绍了矩阵式订单的设计,实现方法,论述了其适用范围和使用特点,最后分析了矩阵式录入订单的执行效率和可扩展性。     

Dijkstra算法在肾脏移植交换系统中的应用

在肾脏移植过程中,经常存在一个病人的亲属愿意将自己的一个肾脏捐赠给此病人,但是他们的肾脏匹配不够好,只能放弃的情况,这明显是一种资源的浪费.一个可行的方案就是肾脏交换系统.在这篇论文中,我们提出了两种解决方法,分别代表了解决此问题的两个解决方向.给一些相应的组织,如美国的OPTN,一定的改进建议,并对其他国家建立类似的组织起到一定的指导作用.     

嵌入式USB蓝牙设备驱动程序的实现

本文首先介绍了基于OMAP1510芯片搭建嵌入式Linux系统的方法和OMAP1510的USB结构.然后分析了蓝牙协议栈的体系及其协议栈中软硬件接口的HCI层.最后,给出Linux下实现USB蓝牙设备驱动程序的重要结构体和函数.并详细地测试和验证了所开发的USB蓝牙设备的驱动程序能支持多个USB蓝牙设备.并在这些蓝牙设备之间能同时建立多条蓝牙通信链路的结论.     

Multifunctional Organic Potassium Salt Additives as the Efficient Defect Passivator for High-Efficiency and Stable Perovskite Solar Cells

Despite the rapid developments are achieved for perovskite solar cells (PSCs), the existence of various defects in the devices still limits the further enhancement of the power conversion efficiency (PCE) and the long-term stability of devices. Herein, the efficient organic potassium salt (OPS) of para-halogenated phenyl trifluoroborates is presented as the precursor additives to improve the performance of PSCs. Studies have shown that the 4-chlorophenyltrifluoroborate potassium salt (4-ClPTFBK) exhibits the most effective interaction with the perovskite lattice. Strong coordination between  BF₃⁻/halogen in anion and uncoordinated Pb²⁺/halide vacancies, along with the hydrogen bond between F in  BF₃⁻ and H in FA⁺ are observed. Thus, due to the synergistic contribution of the potassium and anionic groups, the high-quality perovskite film with large grain size and low defect density is achieved. As a result, the optimal devices show an enhanced efficiency of 24.50%, much higher than that of the control device (22.63%). Furthermore, the unencapsulated devices present remarkable thermal and long-term stability, maintaining 86% of the initial PCE after thermal test at 80 °C for 1000 h and 95% after storage in the air for 2460 h.     

基于Conv1d-LSTM模型的能源分配预测

能源分配问题往往与其所在区域环境有关,能源分配的预测可以通过当地环境因素数据来推测之后对该区域的能源分配数值,最大程度上分配好能源. LSTM网络预测短期效果良好,但预测较长时期的数据会导致误差积累,速度慢且准确性差; Informer是近期新提出的能源预测算法模型,速度快但在该任务上预测能力不够.本文提出Conv1d-LSTM模型,预测结果优于上述两个模型,具有更低的平均绝对误差和均方根误差.     

Implicit discrete-time fast terminal sliding mode control with disturbance compensation

In this paper, an implicit discrete-time fast terminal sliding mode (DFTSM) control with disturbance compensation is designed and analyzed for uncertain high-order systems. First, a recursive discrete sliding surface is constructed based on implicit Euler technique, which can completely eliminate discretization chattering so as to significantly reduce the boundary layer of sliding mode motion. With the help of a high-order disturbance compensator, the accuracy limitation of implicit DFTSM control systems is overcome by increasing the order of sliding mode. Then the finite-time convergence of implicit DFTSM is proved for the first time, and the influence relationship of control parameters on the convergence speed and control accuracy of the algorithm is established. Finally, two numerical examples are provided to demonstrate the effectiveness and superiority of the proposed design approach.     

Exploring the tidal effect of urban business district with large-scale human mobility data

Business districts are urban areas that have various functions for gathering people, such as work, consumption, leisure and entertainment. Due to the dynamic nature of business activities, there exists significant tidal effect on the boundary and functionality of business districts. Indeed, effectively analyzing the tidal patterns of business districts can benefit the economic and social development of a city. However, with the implicit and complex nature of business district evolution, it is non-trivial for existing works to support the fine-grained and timely analysis on the tidal effect of business districts. To this end, we propose a data-driven and multi-dimensional framework for dynamic business district analysis. Specifically, we use the large-scale human trajectory data in urban areas to dynamically detect and forecast the boundary changes of business districts in different time periods. Then, we detect and forecast the functional changes in business districts. Experimental results on real-world trajectory data clearly demonstrate the effectiveness of our framework on detecting and predicting the boundary and functionality change of business districts. Moreover, the analysis on practical business districts shows that our method can discover meaningful patterns and provide interesting insights into the dynamics of business districts. For example, the major functions of business districts will significantly change in different time periods in a day and the rate and magnitude of boundaries varies with the functional distribution of business districts.     

面向典型战场应用的目标智能融合技术

针对战场多源信息融合的典型应用需求,提出了基于人工智能的目标信息融合技术思路,并对其中的两项关键技术,即新型融合知识库构建技术和基于本体核的目标知识融合技术进行了分析,最后对多源信息融合系统在应用过程中存在的技术问题及其解决思路进行了探讨。     

采用自适应模糊优化的目标跟踪加速方案

目标跟踪作为计算机视觉的重要方向之一,在自动驾驶、安防监控等方面有着广泛的应用,但是目标跟踪算法还无法有效地运行在嵌入式设备上。针对目标跟踪算法计算量大、复杂度高,难以部署在资源受限的嵌入式设备的问题,提出了一种基于相关滤波目标跟踪的加速方案。首先采用自适应模糊算法优化了跟踪算法整体运算量,它可以根据目标跟踪框的尺寸判定是否降低图像质量。其次采用了跟踪响应结果的峰值旁瓣比与平均相关能量比判据来评估跟踪结果的可信度,从而实现跟踪模型的自适应更新以及目标位置的重搜索。最后基于FPGA并行实现相关运算和跟踪检测器训练阶段的矩阵相乘运算,以提升算法实时能效性。所提出的加速算法基于PYNQ-Z2进行硬件测试,并在OTB-2015跟踪数据集上进行验证,该算法的跟踪精度与跟踪实时性分别为65.8%,17.28 frame/s,相比于原始算法,跟踪精度、跟踪实时分别提高了9.12%、703.7%。