基于背景重建的高光谱图像异常检测

针对高光谱图像异常检测中背景信息与异常目标信息难以有效区分,背景预测精度不佳的问题,提出一种新的基于背景重建的高光谱图像异常检测算法。通过字典学习方法获取高光谱图像背景光谱字典,并利用该字典对待检测图像进行稀疏重建,得到预测背景图像。将预测背景图像与原始图像做差后得到残差图像,进而利用局部RX检测算法对残差图像进行遍历,实现异常目标检测。通过对真实高光谱图像场景进行实验,证明了算法的有效性。     

仿真技术在足球整体进攻训练中的应用

仿真技术优势明显,在足球运动应用领域有着广阔前景。目前足球进攻训练大多以直观、经验和现场实践为主,缺少专业化的情景再现和系统化的理论支持。利用VisualC++开发平台和计算机模拟仿真编程设计方法将足球训练虚拟化,再现不同比赛训练场景下足球整体进攻演练。结果显示仿真技术实现的训练情境远多于实际,可作为足球整体进攻训练的辅助工具,丰富足球整体进攻的训练手段,帮助球员准确理解战术体系,推动足球训练的科学化发展。     

Equilibrium Customer Strategies in Markovian Queues with Setup Times and Partial Failures

This paper considers the equilibrium behavior of customers in a Markovian queue with setup times and partial failures, where the reactivated server must go through a period of setup time to reach the normal working state and a failure can occur at any time during the normal service. When a partial failure occurs, the server continues to serve the customers on spot at a low rate and does not admit a new arrival. Once the system becomes empty, an exponential repair time starts. Assuming that all the customers have the option of joining or balking based on a linear reward-cost structure, the authors analyze the equilibrium strategies of the customers and the average social benefits of the system in the fully observable case and the partially observable case, respectively. And on this basis, the effect of several parameters on customers' strategic behavior is presented by some numerical examples.     

以木聚糖为抗菌剂的木质地板抗菌性能

随着生活水平的提高,人们越来越重视室内家居环境的健康、环保问题.因此,研究、开发抗菌实木地板具有现实意义.采用贴膜法检测抗菌地板的抗菌性能:以木聚糖为抗菌剂,用8%浓度溶液浸泡杨木单板,接种一定数量的大肠杆菌和金色葡萄球菌.经过一段时间培养后,检测地板细菌数量.结果表明:经过木聚糖溶液处理的地板对大肠杆菌和金色葡萄球菌的抗菌率为73.58%和90.09%,抗菌等级达到Ⅱ级.     

Bounding the inefficiency of the C-logit stochastic user equilibrium assignment

Compared with standard logit-based stochastic user equilibrium assignment model, the C-logit model describes route choice behavior in a more realistic way by considering the overlapping effect between routes. This paper investigates the inefficiency upper bounds of this model against the deterministic system optimum and the C-logit stochastic system optimum in terms of the total network travel time. It is found that the commonality factor of overlapping routes significantly affects the inefficiency bound, besides link congestion degree, total demand and the number of feasible routes. If the commonality factor is not considered, the efficiency loss resulting from selfishly stochastic travel behavior will be to large extent underestimated.     

基于MATLAB矩阵运算的大整数乘法设计与实现

大整数运算在信息安全、数学验证、基因工程等领域有着广泛的应用,设计有效的方案提高运算效率成为学者关注的热点。大整数乘法是大整数运算中的核心运算,对如何提高大整数乘法运算效率进行了分析总结,并利用MATLAB矩阵运算结合格子乘法等算法进行了设计与实现。实验表明通过MATLAB矩阵运算进行大整数乘法运算能有效的提高运算效率。