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101.
根据新型军械装备损坏程度具有不确定性的特点,提出了基于D-S证据理论的新型军械装备损坏程度评估方法,并求出了新型军械装备损坏程度区分.通过对典型新型军械装备损坏程度的评估,验证了该方法的有效性和实用性. 相似文献
102.
103.
A Modern Graphics Processing unit (GPU) is able to perform massively parallel scientific computations at low cost. We extend our implementation of the checkerboard algorithm for the two-dimensional Ising model [T. Preis et al., Journal of Chemical Physics 228 (2009) 4468-4477] in order to overcome the memory limitations of a single GPU which enables us to simulate significantly larger systems. Using multi-spin coding techniques, we are able to accelerate simulations on a single GPU by factors up to 35 compared to an optimized single Central Processor Unit (CPU) core implementation which employs multi-spin coding. By combining the Compute Unified Device Architecture (CUDA) with the Message Parsing Interface (MPI) on the CPU level, a single Ising lattice can be updated by a cluster of GPUs in parallel. For large systems, the computation time scales nearly linearly with the number of GPUs used. As proof of concept we reproduce the critical temperature of the 2D Ising model using finite size scaling techniques. 相似文献
104.
煤炭企业管理信息化特点 总被引:5,自引:4,他引:1
首先介绍了煤炭企业管理信息化的特点:(1)资源开发涉及面广;(2)安全生产管理十分重要;(3)煤炭赋存条件决定着煤炭生产和产品;(4)突出设备管理和维护;(5)采购的设备和材料不进入最终产品;(6)大宗物资集中采购;(7)煤炭销售与运输紧密相连;(8)煤炭生产会影响环境;(9)生产设计多、产品设计少等。然后从生产管理信息化、运输管理信息化、销售管理信息化3个方面分析了煤炭企业管理信息化的特点。该文对煤炭企业信息化系统的研究、设计与实现具有指导意义。 相似文献
105.
LEACH协议是提出较早、较为完整的无线传感器网络协议之一。在LEACH协议的基础上,借鉴生物免疫系统的原理,提出了一种新的适用于无线传感器网络的免疫体系结构。为构建这个体系,提出了基于覆盖面的备份簇头选举算法,嵌入数字基因的免疫应答算法,以及各状态节点的转换机制。备份簇头的引入,大大降低了恶意簇头对整个簇造成的破坏,免疫应答算法通过各功能节点的相互协作,能够有效地抵御恶意节点的攻击,减小和消除恶意数据的影响。仿真验证了该体系的有效性,在提高了安全性的同时,并不影响网络的生命期。 相似文献
106.
107.
The Al-Li-Zn system was critically assessed using the CALPHAD technique. The solution phases (liquid, bcc, fcc and hcp) were described by the substitutional solution model. The compounds Al2Li3 and Al4Li9 in the Al-Li system had homogeneity ranges of Zn and were treated as (Al,Zn)2Li3 and (Al,Zn)4Li9 in the Al-Li-Zn system, respectively. The compounds αLi2Zn3, βLi2Zn3, αLi2Zn5, βLi2Zn5 and αLiZn4 in the Li-Zn system had no solubility of the third component Al in the Al-Li-Zn system. A two-sublattice model (Al,Li,Zn)0.2(Al,Li,Zn)0.8 was applied to describe the compound βLiZn4 in the Al-Li-Zn system in order to cope with the order-disorder transition between hexagonal close-packed solution (hcp-A3) and βLiZn4 with the Mg-type structure. The ternary compound τ2 with a NaTl-type structure (B32) had the same structure with the compounds AlLi in the binary Al-Li system and LiZn in the binary Li-Zn system. In the present work, the three compounds AlLi, LiZn and τ2 were treated as one phase by a two-sublattice model (Al,Li,Zn)0.5(Al,Li,Zn)0.5 in order to cope with the order-disorder transition between B32(AlLi, LiZn and τ2) and body-centered cubic solid solution (bcc-A2). The ternary intermetallic compounds τ1 and τ3 in the Al-Li-Zn system were treated as the formula Li(Al,Zn)2 and (AlLi,Zn)Zn3, respectively. A set of self-consistent thermodynamic parameters describing the Gibbs energy of each individual phase as a function of composition and temperature in the Al-Li-Zn system was obtained. 相似文献
108.
Qian MaAuthor VitaeShengyuan XuAuthor Vitae Yun ZouAuthor Vitae 《Neurocomputing》2011,74(17):3404-3411
This paper addresses the problems of stability and synchronization for a class of Markovian jump neural networks with partly unknown transition probabilities. We first study the stability analysis problem for a single neural network and present a sufficient condition guaranteeing the mean square asymptotic stability. Then based on the Lyapunov functional method and the Kronecker product technique, the chaos synchronization problem of an array of coupled networks is considered. Both the stability and the synchronization conditions are delay-dependent, which are expressed in terms of linear matrix inequalities. The effectiveness of the developed methods is shown by simulation examples. 相似文献
109.
This paper addresses the analysis problem of asymptotic stability for a class of uncertain neural networks with Markovian jumping parameters and time delays. The considered transition probabilities are assumed to be partially unknown. The parameter uncertainties are considered to be norm-bounded. A sufficient condition for the stability of the addressed neural networks is derived, which is expressed in terms of a set of linear matrix inequalities. A numerical example is given to verify the effectiveness of the developed results. 相似文献
110.