ID 原文 译文
15045 首先，该方法以Petri网为形式化基础，对微流程以及微流程间的同步组合和异步组合进行建模。 Firstly,micro processes and micro processes composition under synchronous communication and asynchronous communication models are modeling based on Petri nets.
15046 其次，基于Petri网的分析技术，该方法对组合微流程进行了合理性分析。 Secondly,the soundness of composite micro processes is analyzed based on the Petri net analysis technology.
15047 实验结果表明，该方法能建模微流程，并检测出组合微流程中因同步交互或异步交互错误引起的死锁。 Experimental results show that the proposed method can model microprocesses and detect the deadlocks caused by synchronous or asynchronous interaction errors of the composite micro processes.
15048 针对现有基于稀疏表示的目标检测算法采用同心双窗口构建背景字典的过程中，目标像元将会对背景字典产生干扰的问题，提出基于背景字典构造的稀疏表示高光谱目标检测算法。 Aiming at the existing target detection algorithms based on sparse representation,in the process of building the background dictionary with concentric double windows,the target pixels will interfere with the background dictionary.A sparse representation hyperspectral target detection algorithm based on background dictionary is proposed.
15049 该算法将高光谱图像分解成低秩背景和稀疏目标，引入目标字典作为稀疏目标的先验信息，更好地分离目标和背景，构建纯净背景字典。 The algorithm decomposes the hyperspectral image into low rank background and sparse target,and introduces the target dictionary as the prior information of sparse target,which can separate the target and background better and construct a pure background dictionary.
15050 通过在4个公开高光谱图像数据集上仿真分析，证明所提出的算法具有出色的检测性能。 Simulation results on four public hyperspectral image datasets show that the proposed algorithm has excellent detection performance.
15051 伴随着物联网、云计算、大数据、移动互联、人工智能等新技术的迅猛发展，随之而来的安全问题也更加严重，越来越多的未知攻击和未知漏洞使得传统的网络安全防御手段难以适应。 With the rapid development of Internet of Things,cloud computing,big data,mobile Internet,artificial intelligence and other new technologies,the following security problems are more serious. More and more unknown attacks and vulnerabilities make the traditional network security defense methods difficult to adapt.
15052 基于动态伪装技术的网络安全防御系统原理是通过动态变化的漏洞、缺陷和后门的种类、数量和系统特征等元素构建系统外在特征不确定性的假象，从而实现隐蔽真实的信息系统漏洞、缺陷和后门的目的。 The principle of network security defense system based on dynamic camouflage technology is to construct the false appearance of the uncertainty of the external characteristics of the system by dynamically changing the types,quantity and characteristics of loopholes,defects and backdoors,so as to achieve the purpose of concealing the real loopholes,defects and backdoors of the information system.
15053 针对面板表面缺陷检测存在精度低、效率低等问题，提出了一种基于Faster R-CNN的优化缺陷检测的算法。 In view of the low precision and low efficiency of panel surface defect detection,this paper proposes an optimized defect detection algorithm based on Faster R-CNN.
15054 该方法通过在特征融合层添加不降维的局部自适应跨通道卷积，以增加通道交叉的特征映射，且在骨干特征提取网络后加入CBAM注意力网络，从而捕获特征图的长期特征依赖关系。 This method adds local adaptive cross-channel convolution without dimensionality reduction in the feature fusion layer to increase the feature mapping of channel crossing, and adds the CBAM attention network after the backbone feature extraction network to capture the long-term feature dependency of the feature map.