基于结构化对等网络的云资源查询算法

为实现云计算中云资源的快速查询,针对资源查找过程中查询效率较低以及网络维护成本较高等问题,提出一种基于结构化对等网络的云资源查询算法,实现对待查询云资源进行快速有效定位。首先设计一种新型超级节点拓扑结构,对网络拓扑中各节点进行唯一性编码,构造二元组路由信息索引列表,并设计相应的路由算法;然后给出了分层象限超级节点算法的查询效率与稳定性分析。仿真实验结果表明,分层象限超级节点算法查询效率较高,且随着网络规模增加,查询路径长度趋于稳定,同时对于超级节点失效带来的网络维护成本较低。     

基于ITSQEM的IT服务质量研究

在SERVQUAL模型以及软件工程产品质量模型的基础上,结合IT服务质量的内涵和范畴,提出了IT服务质量评价模型(ITSQEM);并对该模型特性及子特性进行分析,提出了模型裁剪原则以及相应指标项的度量方法,使得质量评价更具有实用性和可操作性。     

食用盐中微量铜离子的测定

加入硝酸硝化样品溶液,使有机物中的铜转化无机铜,即总铜。利用二乙胺硫代甲酸钠——铜试剂显色,四氯化碳萃取,分光光度法测定食用盐中微量铜离子,这对于分析测量设备较差的生产厂家具有实际的意义。本文介绍了该法的测定原理,试验测定了本法的标准偏差、相对标准偏差、回收率等测试情况,以及普查了部分食用盐中铜离子的含量。     

基于鸽群的鲁棒强化学习算法

Reinforcement learning(RL) is an artificial intelligence algorithm with the advantages of clear calculation logic and easy expansion of the model. Through interacting with the environment and maximizing value functions on the premise of obtaining little or no prior information, RL can optimize the performance of strategies and effectively reduce the complexity caused by physical models . The RL algorithm based on strategy gradient has been successfully applied in many fields such as intelligent image recognition, robot control and path planning for automatic driving. However, the highly sampling-dependent characteristics of RL determine that the training process needs a large number of samples to converge, and the accuracy of decision making is easily affected by slight interference that does not match with the simulation environment. Especially when RL is applied to the control field, it is difficult to prove the stability of the algorithm because the convergence of the algorithm cannot be guaranteed. Considering that swarm intelligence algorithm can solve complex problems through group cooperation and has the characteristics of self-organization and strong stability, it is an effective way to be used for improving the stability of RL model. The pigeon-inspired optimization algorithm in swarm intelligence was combined to improve RL based on strategy gradient. A RL algorithm based on pigeon-inspired optimization was proposed to solve the strategy gradient in order to maximize long-term future rewards. Adaptive function of pigeon-inspired optimization algorithm and RL were combined to estimate the advantages and disadvantages of strategies, avoid solving into an infinite loop, and improve the stability of the algorithm. A nonlinear two-wheel inverted pendulum robot control system was selected for simulation verification. The simulation results show that the RL algorithm based on pigeon-inspired optimization can improve the robustness of the system, reduce the computational cost, and reduce the algorithm’s dependence on the sample database. © 2022, Beijing Xintong Media Co., Ltd.. All rights reserved.     

温暖涌进千米井巷

“这是心的呼唤,这是爱的奉献,这是人间的春风……” 春节里,重庆能源集团天池社区的20多位女性代表社区1万多名居民,带着准备好的盐茶鸡蛋和点心、姜汤水来到石壕煤矿井口,委托天池社区的3位男性管理者送进千米井巷深处,温暖了矿工的心。     

嵌入式软件测试方法与策略研究

在信息技术迅速发展的今天,嵌入式系统的应用日趋复杂,开发技术日新月异,硬件发展的日益稳定,而软件故障却日益突出,其质量引起人们的重视,对嵌入式系统的测试研究显得尤为重要。嵌入式软件测试由于其自身的特点使得测试较为困难。在嵌入式软件测试中,采用正确的测试方法和策略,可以提高嵌入式软件测试效率,避免目标系统的瓶颈。