A new crossover operator in genetic programming for object classification.

The crossover operator has been considered "the centre of the storm" in genetic programming (GP). However, many existing GP approaches to object recognition suggest that the standard GP crossover is not sufficiently powerful in producing good child programs due to the totally random choice of the crossover points. To deal with this problem, this paper introduces an approach with a new crossover operator in GP for object recognition, particularly object classification. In this approach, a local hill-climbing search is used in constructing good building blocks, a weight called looseness is introduced to identify the good building blocks in individual programs, and the looseness values are used as heuristics in choosing appropriate crossover points to preserve good building blocks. This approach is examined and compared with the standard crossover operator and the headless chicken crossover (HCC) method on a sequence of object classification problems. The results suggest that this approach outperforms the HCC, the standard crossover, and the standard crossover operator with hill climbing on all of these problems in terms of the classification accuracy. Although this approach spends a bit longer time than the standard crossover operator, it significantly improves the system efficiency over the HCC method.     

DTM350-600磨煤机大轴断裂分析

针对陕西渭河发电有限责任公司5号炉磨煤机乙磨大轴断裂失效进行了金属分析。结果表明应加强制造质量监控和实施设备全过程金属监督。     

微波对小鼠睾丸染色体的影响

本文使用2450MHz 连续微波照射 C_(57)BL 小鼠,观察生殖细胞染色体畸变。在功率密度约20、30及37mW/cm~2三种辐射强度下,睾丸周围的温度分別达37.5℃左右、38—39℃及40℃左右。最低辐射强度组动物的染色体畸变与对照组无差异。在其他两个辐射组,可见到细胞染色体畸变率增高,尤以高强度辐射组为明显。精原细胞的细胞染色体畸变率分别达12.16%及5.45%(对照组为1.26%);初级精母细胞第一次减数分裂的细胞染色体畸变率分别达9.31%及5.28%(对照组为2.56%)。畸变类型主要为染色单体断片、断裂,个别细胞的染色体或个別染色体出现粉碎化。     

银钨合金W分离回收工艺的研究

以银钨合金为研究对象,提出了从钨基合金废料中回收W的工艺流程,考察了焙烧、硝酸浸取以及煅烧等过程中工艺条件对分离效果和回收率的影响.试验证明在适当的条件下,银的浸出率可达到99%以上,从而保证了钨的分离和回收效率.     

Characteristics of evolution of mining-induced stress field in the longwall panel:insights from physical modeling

The evolution of mining-induced stress field in longwall panel is closely related to the fracture field and the breaking characteristics of strata.Few laborator...     

基于Excel VBA实现普通高中毕业证书打印系统

介绍如何使用Excel VBA 开发毕业证书打印系统,并给出详细代码.     

相关向量机软件可靠性建模中失效数据选择

摘要：基于核函数的软件可靠性模型一般对软件失效时间数据与发生在其之前的m次失效时间数据的关系进行建模,着重研究了m取值不同时,其对核函数可靠性模型预测能力的影响。在5个不同类型失效数据集上,采用Mann-Kendall检验观测到m值增大时模型预测能力逐渐下降,说明现时失效时间数据能比较久之前观测的失效时间数据更好地用于预测未来,通过把m的取值划分成几个区间,运用配对T检验进行实验研究,结果表明当m∈｛6,7,8,9,10｝时,模型能够得到最好的预测性能。     

On energy efficiency of geographic opportunistic routing in lossy multihop wireless networks

Geographic opportunistic routing (GOR) is an emerging technique that can improve energy efficiency in lossy multihop wireless networks. GOR makes local routing decision by using nodes?? location information, and exploits the broadcast nature and spatial diversity of the wireless medium to improve the packet forwarding reliability. In this paper, our goal is to fully understand the principles and tradeoffs in GOR, thus provide insightful analysis and guidance to the design of more efficient routing protocols in multihop wireless networks. We propose a local metric, one-hop energy efficiency (OEE), to balance the packet advancement, reliability and energy consumption in GOR. We identify and prove important properties about GOR on selecting and prioritizing the forwarding candidates in order to maximize the expected packet advancement. Leveraging the proved properties, we then propose two localized candidate selection algorithms with O(N ³) running time to determine the forwarding candidate set that maximizes OEE, where N is the number of available next-hop neighbors. Through extensive simulations, we show that GOR applying OEE achieves better energy efficiency than the existing geographic routing and blind opportunistic routing schemes under different node densities and packet sizes.