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.     

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.     

基于多虚空间多重映射技术的并行操作系统

高性能计算机系统的可扩展性是系统设计的一大难题,NUMA(non-uniformmemoryarchitecture)结构正是为了解决共享存储体系的可扩展性问题而提出来的.研究和实践表明,整机系统的可扩展性与操作系统的结构有着密切的关系.典型的多处理机操作系统通常采用两种结构,基于共享的单一核心结构以及基于消息的多核心结构.通过分析得出结论认为,这两种结构都不能很好地适应可扩展并行机尤其是NUMA结构并行机的需求.针对存在的问题,提出了新的结构设计思想:多虚空间多重映射与主动消息相结合.测试和运行结果显示,该结构成功地解决了系统的可扩展问题.     

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。     

BDPCA plus LDA: a novel fast feature extraction technique for face recognition.

Appearance-based methods, especially linear discriminant analysis (LDA), have been very successful in facial feature extraction, but the recognition performance of LDA is often degraded by the so-called "small sample size" (SSS) problem. One popular solution to the SSS problem is principal component analysis (PCA) + LDA (Fisherfaces), but the LDA in other low-dimensional subspaces may be more effective. In this correspondence, we proposed a novel fast feature extraction technique, bidirectional PCA (BDPCA) plus LDA (BDPCA + LDA), which performs an LDA in the BDPCA subspace. Two face databases, the ORL and the Facial Recognition Technology (FERET) databases, are used to evaluate BDPCA + LDA. Experimental results show that BDPCA + LDA needs less computational and memory requirements and has a higher recognition accuracy than PCA + LDA.     

纳米碳酸钙粒子增韧增强不饱和树脂的研究

报道了纳米级碳酸钙填充不饱和树脂的性能研究，探讨了碳酸钙含量和钛酸酯偶联处理对不饱和树脂性能的影响，用扫描电镜（SEM）观察了试样的断裂口形貌，结果表明，用偶联剂处理的纳米碳酸钙粒子含量在4份左右时对复合材料的综合性能最佳，比未加纳米粒子的和未处理的材料冲击强度分别提高了370％和170％，拉伸强度分别提高了170％和150％，SEM分析说明未处理粒子增韧不饱和树脂的机理是粒子的“钉扎”效应和钝化裂纹，而偶联剂处理的纳米粒子增韧不饱和树脂的机理主要是料子导致基体产生了塑性变形。     

LG-2/130型管道式旋转喷射泵的研制

介绍了旋转喷射泵的原理、结构特点和设计计算，以及LG-2／130型旋喷泵的研制和应用等情况。     

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。