数据中心计算环境应用承载能力评价

随着新型计算服务模式在数据中心的普及,针对如何有效评价其承载能力的问题,提出一种新的应用承载能力评价体系和评价模型,具体分析了网络、计算资源对服务环境的影响度,并给出了实例分析。实例分析结果表明,新的评价体系和评价模型可以有效评估计算服务模式对各类信息服务系统部署运行的应用承载能力,进而提升信息服务保障整体效益。     

天然气长输管道燃驱机组控制系统优化技术

燃气轮机驱动的压缩机组被广泛地应用在天然气长输管道,其控制系统优化技术的大范围深度应用在管道行业尚数首次,及时消除生产瓶颈的同时,也为涉及燃机的控制专业同行提供了技术借鉴,更重要的是为管道行业燃机运行提供了安全保障。     

基于Apache Shiro的站群角色管理

在站群角色管理中,易出现权限管理复杂、角色分配多样,访问效率低下等问题,因此,设计实现一种基于Apache Shiro开源框架的RBAC管理系统来解决站群角色管理中的不足;首先全面概述Shiro原理,然后以Shiro 为基础设计实现站群权限角色管理功能。最终使用户可以定制不同的角色与权限功能,且整个过程操作简单便捷。     

基于漏磁原理的钢丝绳探伤仪影响因素研究

介绍了钢丝绳探伤仪漏磁检测原理,并使用有限元分析方法分析了传感器零件的材料、钢丝绳的提离距离及断丝根数等对基于漏磁原理的钢丝绳探伤仪检测结果的影响。分析结果表明,提离距离、断丝根数等因素对探伤仪检测结果影响较大,断丝角度、深度等因素影响较小。     

宁夏司法警官职业学院学生信息管理系统研究

长期以来,宁夏司法警官职业学院各种信息通过Office软件来存储,处理,在信息的更新,共享,查询,版本控制上等方面存在很多问题,管理这些信息比较繁琐,并且信息很难共享,因此学院急需一套信息管理系统来管理这些信息。该文对宁夏司法警官职业学院学生信息管理系统的项目立项、用户需求征询、设计开发、测试实施做了一个比较全面的概述。     

Nonsmooth identification of mechanical systems with backlash-like hysteresis

Backlash-like hysteresis is one of the nonsmooth and multi-valued nonlinearities usually existing in mechanical systems. The traditional identification method is quite difficult to be used to model the systems involved with such complex nonlinearities. In this paper, a nonsmooth recursive identification algorithm for the systems with backlash-like hysteresis is proposed. In this method, the concept of Clarke subgradient is introduced to approximate the gradients at nonsmooth points and the so-called bundle method is used to obtain the optimization search direction in nonsmooth cases. Then, a recursive algorithm based on the idea of bundle method is developed for parameter estimation. After that, the convergence analysis of the algorithm is investigated. Finally, simulation results to validate the proposed method on a simulated mechanical transmission system are presented.     

A Recommendation System Keeping Both Precision and Recall by Extraction of Uninteresting Information

A recommendation system which recommends interesting information to the target user must guarantee high precision and recall. However, there is trade-off between precision and recall. In this paper, we propose a web page recommendation method balancing both of them by take advantage of uninteresting information. The proposed method extracts the interest and uninterest indicators from not only historical interesting web pages but also uninteresting ones in a target genre. The historical interesting and uninteresting information is derived based on the browsing time and bookmarking. The proposed method can keep precision and recall by excluding the uninteresting information from the recommended ones based on the interest and uninterest indicators. The experimental result proved that the proposed method can improve the precision and recall than an existing method.     

Bounded Consensus Algorithms for Multi‐Agent Systems in Directed Networks

In this paper, the consensus problem is investigated via bounded controls for the multi‐agent systems with or without communication. Based on the nested saturation method, the saturated control laws are designed to solve the consensus problem. Under the designed saturated control laws, the transient performance of the closed‐loop system can be improved by tuning the saturation level. First of all, asymptotical consensus algorithms with bounded control inputs are proposed for the multi‐agent systems with or without communication delays. Under these consensus algorithms, the states’ consensus can be achieved asymptotically. Then, based on a kind of novel nonlinear saturation functions, bounded finite‐time consensus algorithms are further developed. It is shown that the states’ consensus can be achieved in finite time. Finally, two examples are given to verify the efficiency of the proposed methods.     

Quantized H∞ Control for Networked Systems with Communication Constraints

The problem of quantized H_∞ control for networked control systems (NCSs) subject to time‐varying delay and multiple packet dropouts is investigated in this paper. Both the control input and the measurement output signals are quantized before being transmitted and the quantized errors are described as sector bound uncertainties. The measurement channel and the control channel packet dropouts are considered simultaneously, and the stochastic variables satisfying Bernoulli random binary distribution are utilized to model the random multiple packet dropouts. Sufficient conditions for the existence of an observer‐based controller are established to ensure the exponential mean‐square stablility of the closed‐loop system and achieve the optimal H_∞ disturbance attenuation level. By using a globally convergent algorithm involving convex optimization, the nonconvex feasibility can be solved successfully. Finally, a numerical example is given to illustrate the effectiveness and applicability of the proposed method.     

核电站数字化反应堆保护系统停堆响应时间分析

为了评价出核电站数字化反应堆保护系统停堆响应的最大时间,根据数字化反应堆保护系统结构,分析出保护系统的响应过程须经过AI输入、IO总线通讯、CPU运算、网络通讯、DO输出处理。并基于DCS定周期扫描的运行方式,得出了各处理过程所需最大响应时间的计算方法,DCS停堆响应时间的评价值就是各部分最大响应时间的累加。最后提出了可缩短响应时间的改进方法。