断裂韧性K_(1C)和断裂门槛值ΔK_(th)可靠性测定方法

采用定量方程随机化方法 ,建立了断裂p JR Δa曲线方程 ,断裂p JR Δa曲线与钝化线的交点即为试验测定具有可靠度p的J积分临界值 (J1C) p值 ,根据断裂力学测试原理 ,由试验测定 (J1C) p 值可转化出断裂韧性 (K1C) p 值 ;还建立了断裂门槛ΔKth值的可靠性测定方法 ,并对试验数据进行了统计分析处理 ,得到了一些具有重要应用价值的结果和数据 .研究发现 :断裂门槛值ΔKth服从正态分布     

职业技术学院教职工应付方式的现状调查

了解职业技术学院教职工应付方式现状,采用应付方式问卷(CSQ)对三所职业技术学院的教职工进行调查。结果:职业技术学院教职工使用最多的应付方式是"解决问题";不同性别的教职工在"自责"、"求助"、"幻想"和"合理化"因子上差异有统计学意义(P<0.05);不同工龄的教职工在"解决问题"因子上差异有统计学意义(P<0.05);不同学历的教职工在"合理化"因子上差异有统计学意义(P<0.05);不同职称的教职工在"解决问题"、"求助"、"退避"和"合理化"因子上差异有统计学意义(P<0.05)。结论:应根据职业技术学院教职工应付方式特点进行科学指导。     

二维三角晶格的Peierls相变前后的声子色散曲面的研究

利用晶格动力学理论计算了二维三角晶格的Peierls相变前后的声子能谱。并且在第一布里渊区绘制了声子色散曲面。通过对Peierls相变前后的声子能谱比较可知，随其对称性降低，声子能谱的简并度被破缺。二维三角晶格的Peierls相变前只有两支声频支声子能谱，Peierls相变后有两支声频支声子能谱与两支光频支声子能谱，并且声频支声子能谱与光频支声子能谱不相交，两支光频支声子沿ky轴平缓地变化。     

基于Java语言的GIS系统在电信网管系统中的开发应用

随着计算机和通信业的迅速发展,人们对电信网络管理系统的要求越来越高,不仅需要拓扑图的显示,还要求系统能进行快速的故障定位,所以要求网管系统能与GIS系统结合.本文介绍了基于java语言的GIS系统的开发过程,及如何将GIS集成到综合电信网管系统中,并就实际开发中出现的问题提出相应的解决方案.     

Optimum parameter matching obtained by experiments for coring drilling into lunar simulant

This paper performs a series of ground experiments (on the Earth) to obtain optimum parameter matching for a future core drill on the Moon. Three common stages, I, II, III, are recognized with respect to the cut per revolution (CPR), which is defined as the ratio between the feeding speed and the rotating speed. The optimum matching between the feeding speed and the rotating speed for drills locates at the boundary position between Stage II and Stage III, where the coring rate saturates and the weight on the bit and the driving torque are still low. Further data analysis of the ground experiments reveals that the optimum matching signifies a proportional relation between the maximum conveying rate (MCR) by the groove of the auger and its rotating speed. The kinetic analysis in an ideal condition without gravity, the friction from the auger groove and the pressure at the bit confirm a similar proportion. The correlation between the proportions needs further study to determine whether the optimum matching obtained on the ground can be directly applied to future drills on the Moon.     

Angle estimation for two unresolved targets with monopulse radar

Most present-day radar systems use monopulse techniques to extract angular measurements of sunbeam accuracy. The familiar "monopulse ratio" is a very effective means to derive the angle of a single target within a radar beam. For the simultaneous estimation of the angles of two closely-spaced targets, a modification on the monopulse ratio was derived in (Blair and Pearce, 2001), while (Sinha et al., 2002) presented a maximum likelihood (ML) technique via numerical search. In this paper it is shown that the ML solution can in fact be found explicitly, and the numerical search of ((Sinha et al., 2002) is unnecessary. However, the ML solution requires the signal to noise ratio (SNR) for each target to be known, and hence we generalize it so it requires only the relative SNR. Several versions of expectation maximization (EM) joint angle estimators are also derived, these differing in the degree to which prior information on SNR and on beam pattern are assumed. The performances of the different direction-of-arrival (DOA) estimators for unresolved targets are studied via Monte Carlo, and it is found that most have similar performance: this is remarkable since the use of prior information (SNR, relative SNR, beam pattern) varies widely between them. There is, however, considerable performance variability as a function of the two targets' off-boresight angles. A simple combined technique that fuses the results from different approaches is thus proposed, and it performs well uniformly.     

对广东计量检测市场的考察与思考

通过对广东省计量校准机构的考察，从市场观念、管理运行机制、高质量的综合服务、高效率、高效益等方面做了深入的分析与思考，总结出广东同行走在全国前列的原因和成功的经验，同时也指出我们的差距和在市场经济竞争中潜在的生存危险。     

小攻角高超声速钝锥边界层内扰动演化的数值模拟

首先从有限差分格式出发,给出了基本无振荡的高阶激波捕捉格式,然后,采用数值模拟方法对马赫数为6的2°攻角高超声速钝锥边界层的稳定性进行了研究。计算发现,由于攻角的存在,钝锥的稳定性特征与零攻角时有本质的差别,比如背风面的扰动比迎风面增长更快,但扰动增长最慢的地方并不是迎风面,而是侧面的某个位置;又比如背风面主要是长波起作用,迎风面和侧面主要是短波起作用;斜模式不稳定在整个钝锥边界层中起最主要作用。     

基于自适应深度网络的无人机目标跟踪算法

针对无人机（UAV）视频中目标易受到遮挡、形变、复杂背景干扰等问题，提出一种基于自适应深度网络的无人机目标跟踪算法。首先，基于主成分分析（PCA）和卷积神经网络（CNN）算法，设计3阶的自适应深度网络进行目标特征提取，该网络对图像的H、S、I通道分别进行主成分分析学习，将得到的特征向量输入网络进行分层卷积，优化了网络结构，提高了网络的收敛速度和精度。其次，将目标深度特征输入核相关滤波算法进行目标跟踪，通过分析相邻2帧图像的变化率，采用分段自适应调整学习率的算法进行目标模板更新，有效地改善目标遮挡问题。仿真实验结果表明，该算法有效地避免了复杂因素干扰导致的跟踪精度下降，具有较好的鲁棒性，相较于全卷积跟踪（FCNT）算法平均跟踪精度提高了9.62%，平均跟踪成功率提高了11.9%。     

结构自适应序贯正则极端学习机时间序列预测及其应用

为提高初始小样本情况下时间序列在线预测的精度,提出了一种结构自适应序贯正则极端学习机(SA-SRELM)。该方法在在线序贯学习阶段,针对不同训练样本规模选择不同的递推方式对输出权值进行更新;同时,在训练样本达到一定规模后,为提高预测模型对系统的动态适应性,在加入新样本的同时对旧样本进行剔除,完成预测模型的训练。利用3种混沌时间序列预测实例对所提方法的有效性进行了验证。最后,将所提方法用于航空发动机排气温度预测中,结果表明该方法相对正则极端学习机(RELM)和序贯正则极端学习机(SRELM)方法具有更好的泛化性能,预测精度分别是二者的约6倍和2倍。