A robust scheduling method based on a multi-objective immune algorithm

A robust scheduling method is proposed to solve uncertain scheduling problems. An uncertain scheduling problem is modeled by a set of workflow models, and then a scheduling scheme (solution) of the problem can be evaluated by workflow simulations executed with the workflow models in the set. A multi-objective immune algorithm is presented to find Pareto optimal robust scheduling schemes that have good performance for each model in the set. The two optimization objectives for scheduling schemes are the indices of the optimality and robustness of the scheduling results. An antibody represents a resource allocation scheme, and the methods of antibody coding and decoding are designed to deal with resource conflicts during workflow simulations. Experimental tests show that the proposed method can generate a robust scheduling scheme that is insensitive to uncertain scheduling environments.     

Examining the Potentially Confounding Effect of Class Size on the Associations between Object-Oriented Metrics and Change-Proneness

Previous research shows that class size can influence the associations between object-oriented (OO) metrics and fault-proneness and therefore proposes that it should be controlled as a confounding variable when validating OO metrics on fault-proneness. Otherwise, their true associations may be distorted. However, it has not been determined whether this practice is equally applicable to other external quality attributes. In this paper, we use three size metrics, two of which are available during the high-level design phase, to examine the potentially confounding effect of class size on the associations between OO metrics and change-proneness. The OO metrics that are investigated include cohesion, coupling, and inheritance metrics. Our results, based on Eclipse, indicate that: 1) The confounding effect of class size on the associations between OO metrics and change-proneness, in general, exists, regardless of whichever size metric is used; 2) the confounding effect of class size generally leads to an overestimate of the associations between OO metrics and change-proneness; and 3) for many OO metrics, the confounding effect of class size completely accounts for their associations with change-proneness or results in a change of the direction of the associations. These results strongly suggest that studies validating OO metrics on change-proneness should also consider class size as a confounding variable.     

Micromachining of passive planar micromixer on poly (methyl methacrylate) substrate with excimer laser ablation

Excimer laser ablation technique was introduced into this work to fabricate a passive planar micromixer on the PMMA substrate. T-junction shaped and width-changed S-shaped microchannels were both designed in this micromixer to enhance mixing effect. The mixing experiment of distilled water and Rhodamine B with injection flow rate of 500 and 1,500 μm/s validates the mixing effectivity of this micromixer, and indicates the feasibility of excimer laser ablation in the microfabrication of μ-TAS device.     

Distributed robust finite-time nonlinear consensus protocols for multi-agent systems

This paper investigates the robust finite-time consensus problem of multi-agent systems in networks with undirected topology. Global nonlinear consensus protocols augmented with a variable structure are constructed with the aid of Lyapunov functions for each single-integrator agent dynamics in the presence of external disturbances. In particular, it is shown that the finite settling time of the proposed general framework for robust consensus design is upper bounded for any initial condition. This makes it possible for network consensus problems to design and estimate the convergence time offline for a multi-agent team with a given undirected information flow. Finally, simulation results are presented to demonstrate the performance and effectiveness of our finite-time protocols.     

基于伪码自相关特性与三次样条插值的GPS信号快速捕获算法

提出了一种新的基于伪码自相关特性和三次样条捅值拟合方法的GPS信号快速捕获算法.首先通过低频采样序列依据循环相关法求得C/A码相位粗略值;然后根据C/A码相位粗略值得到用于二次捕获的高频采样部分序列,利用伪码自相关特性求得精确C/A码相位值;最后利用三次样条插值法处理相关谱谱峰及邻近数据以进一步提高C/A码相位的测量精度.仿真结果表明该算法具有精度高、运算量小的优点.     

PLC在钢坯温度自动监控系统中的应用

提出了一种以PC＋PLC结构组成的钢坯温度自动监控系统,并对该系统的构成、功能作了介绍。较详细地讨论了系统中PLC的程序设计,包括对AD模块的编程技术;给出了相应的PLC梯形图程序。     

SPI接口技术及应用

本文详细介绍了SPI接口芯片的逻辑时序,给出了实时硬件接口的连接方式,并对编程实现时的注意事项进行了说明。     

OMR抽象模型

在计算机领域反映现实世界中的事物,离不开有效模型的支持。这个模型一方面是现实世界中具体事物的抽象,另一方面又便于计算机实现。提出的OMR模型反映了现实世界的运行规律,用对象、消息和关系三要素对现实事物进行抽象和描述,是辅助计算机实现的有效工具。为了从形式化和数学化的角度描述OMR模型,又探讨了对象内Petri网和对象间Petri网,从而使OMR模型进一步丰满。     

添加剂和亚磷酸对Ni^2＋,Fe^2＋电化学行为的影响

在Ｎｉ－Ｆｅ－Ｐ非晶态合金电镀工艺研究中，采用循环伏安法研究了某些有机酸和亚磷酸对Ｎｉ２＋、Ｆｅ２＋在铂电极上的电化学行为的影响。结果认为，甘氨酸、抗坏血酸和丁二酸等均能不同程度地增大Ｎｉ２＋、Ｆｅ２＋的阴极极化，亚磷酸能促进Ｎｉ２＋的还原析出，但阻止Ｆｅ的成核和生长过程。     

基于和谐论的新密市城区水资源配置研究

水质恶化引起的缺水问题是城市水资源供需矛盾的重要原因之一。合理配置水量水质,提高水资源利用效率和供水保证率,是城市健康发展的必然要求。本文将和谐论思想引入水资源配置,结合水资源分质配置思路,基于水资源配置量化指标体系和水资源配置模型,开展了新密市城区水量水质配置研究,为水资源优化配置提供定量分析的方法。