捷联导引头中基于知识的目标分割方法研究

为了保证处理效率,需要通过图像分割出可疑目标来减少干扰、减少运算,提出了一种基于知识的目标分割方法.将图像区域作为研究对象,结合目标先验知识通过区域划分、特征提取及判定来选取合适的目标分割阈值.实验结果表明:该方法能够克服全局场景的影响,有效地将可疑目标分割出来,提高了系统的实时性,为目标的识别提供依据,同时降低了后面目标识别跟踪的难度.     

基于时序卷积网络的信道编码闭集识别

针对传统识别算法对信号的先验知识要求较高、人工特征提取复杂、低信噪比环境下识别率较低等问题,提出了一种基于时序卷积网络(TCN)的卷积码参数识别方法.引入了深度学习算法处理盲识别问题,依据卷积码的马尔可夫性,将码字作为时间序列处理,把己知类型的编码序列作为时序卷积网络模型的输入进行监督学习,根据训练好的模型对接收端接收...     

基于SVM混凝土电镜图像类型识别

目的为了准确、快速地对混凝土电镜图像进行自动识别分类,选取合理的特征提取方法以及分类算法,解决预判混凝土耐久性问题.方法利用一种基于局部二值模式(Local Binary Pattern,LBP)的特征提取方法和支持向量机(Support Vector Machine,SVM)分类器的组合模式,对混凝土在电镜下的图像进行特征提取和类别判定,并对SVM分类器选取合理的核函数以及核函数参数.结果采用笔者方法最终图像识别准确率可达79.7%,LBP基本特征算子较好地满足了纹理特征图像的特征提取要求;通过SVM分类器对图像进行分类可以将含有纹理特征的图像成功分类.结论该方法成功有效地识别混凝土的内部多层次结构辅助辨别混凝土的耐久性问题;LBP基本算子和SVM分类算法的组合算法在特征提取与识别分类具有很好的实用性及高效性.     

改进特征匹配算法在银行卡号识别中的应用

针对目前银行卡号识别算法的不足, 基于模式识别技术, 提出一种改进的特征匹配算法, 并将其应用于银行卡号识别. 改进的特征提取算法改变了特征向量, 并增加特征学习次数, 解决了传统方法识别银行卡号正确率较低的问题, 并保证了识别效率. 仿真实验结果表明, 改进的特征提取算法可有效提高银行卡号识别的正确率.     

基于Curvelet稳定特征曲面的掌纹识别新方法

针对掌纹特征提取困难、稳定性较差以及特征维数较大的问题,提出一种基于Curvelet稳定特征曲面的掌纹识别方法.将掌纹图像经Curvelet变换得到稳定特征曲面,把该曲面作为特征进行匹配,不仅避免了特征提取或图像编码等传统繁琐操作,而且特征维数较低,在保证识别精度的同时,图像稳定性增强,识别速度较快.最后,采用归一化相关分类器对掌纹所属类别进行判定,通过PolyU掌纹库的验证,本文算法的等误率为1.769 0%,匹配时间为16.6 ms,表明了本文算法的有效性.     

基于大数据和深度学习的语音识别研究

大数据时代为深度学习在语音识别中的应用提供了良好的平台.本文介绍了用于语音识别的深度学习模型及用于语音识别的深度学习的学习过程.语音识别技术中特征提取、模式匹配和模型训练都离不开大量训练数据的积累和匹配,而数据的可靠和有效依赖于算法的可行性.在大数据基础上,深度学习用于语音识别大大提高了识别率.     

基于Log-gabor小波的运动目标阴影检测

针对阴影覆盖前后的场景纹理相似的特点和Gabor小波在纹理特征提取上的不足,利用Log-gabor在纹理特征提取上的较优性能及对光照的不敏感性,提出一种基于Log-gabor的运动目标阴影检测方法.首先根据阴影在颜色空间的特点,利用像素点亮度变化规律,对前景中包含阴影的运动目标进行检测,提取疑似阴影区域.然后对疑似阴影区域分块,获取块Log-gabor纹理特征.最后,针对运动目标和道路纹理区别,提出合理有效的阴影判定准则,使用判定准则识别阴影.实验结果表明,所提方法在不需场景先验知识情况下,能较快较准确检测出阴影.     

基于双空间特征提取的变压器故障诊断模型

为了提高基于油中溶解气体分析(dissolved gas analysis, DGA)的变压器故障诊断正确率,弥补单子空间特征提取的局限性,提出了基于双子空间特征提取的变压器故障分层诊断模型.首先,将DGA测试样本在一个子空间内进行特征提取后,为避免核函数及其参数的选择难题,以及利用多核支持向量机(multiple-kernel support vector machine, MKSVM)鲁棒性强和精度高的特点,采用MKSVM作为分类器对测试样本进行预测.依据预测结果将测试样本分为难分类和易分类样本,对易分类样本直接进行分类识别;对难分类样本则将该样本再次投影到另一子空间进行特征提取后,同样采用MKSVM作为分类器对难分类样本进行预测,综合两次预测结果进行分类识别,实现两分类MKSVM的双子空间特征提取算法.最后,根据故障特征,建立基于双子空间特征提取算法的变压器故障分层诊断模型.诊断实例表明,该模型具有较高的诊断正确率和推广能力.     

基于自适应极速学习机的遥感图像目标识别

随着遥感技术的突飞猛进,遥感图像目标识别在军事方面以及民用方面都有重要的应用.但是在对遥感图像目标识别的过程中,由于遥感图像的高分辨率等客观条件限制,无法实现对目标实时和精确的识别.极速学习机具有很快的学习速度并且是一次完成的,在小样本学习的问题中得到了广泛的应用.可以先对遥感图像进行特征提取,然后用极速学习机的神经网络方法对遥感图像目标进行识别,这是解决问题的一种有效方法.本文首先在极速学习机的基础上针对极速学习机隐层神经元过多的问题进一步提出隐层神经元数目自动确定的自适应极速学习机的算法,然后介绍了遥感图像特征提取的方法,最后通过实验仿真验证自适应极速学习机算法在遥感图像目标识别上的准确性和实用性.     

基于Gabor小波和PCA的掌纹识别方法比较研究

掌纹识别是利用人的手掌图像进行身份鉴别的一种新兴生物特征识别技术. 主成分分析(PCA)、二维主成分分析(2DPCA)、Gabor小波等则是生物特征识别的常用特征提取方法. 本文采用四种实验方案来比较研究基于PCA以及基于Gabor和PCA的掌纹识别特征提取性能, 用正确识别率和训练时间等参数来对其进行对比分析, 其结果可为掌纹识别系统选择特征提取方法提供一定理论参考.     

Markedness and its Interpretation in Language Use

Language markedness is a common phenomenon in languages, and is reflected from hearing, vision and sense, i.e. the variation in the three aspects such as phonology, morphology and semantics. This paper focuses on the interpretation of markedness in language use following the three perspectives, i.e. pragmatic interpretation, psychological interpretation and cognitive interpretation, with an aim to define the function of markedness.     

Lower Paleozoic oil relationships within Williston Basin, Canada

The Williston Basin is a significant petroleum province, containing oil production zones that include the Middle Cambrian to Lower Ordovician, Upper Ordovician, Middle Devonian, Upper Devonian and Mississippian and within the Jurassic and Cretaceous. The oils of the Williston Basin exhibit a wide range of geochemical characteristics defined as "oil families", although the geochemical signature of the Cambrian Deadwood Formation and Lower Ordovician Winnipeg reservoired oils does not match any "oil family". Despite their close stratigraphic proximity, it is evident that the oils of the Lower Palaeozoic within the Williston Basin are distinct. This suggests the presence of a new "oil family" within the Williston Basin. Diagnostic geochemical signatures occur in the gasoline range chromatograms, within saturate fraction gas chromatograms and biomarker fingerprints. However, some of the established criteria and cross-plots that are currently used to segregate oils into distinct genetic families within the basin do not always meet with success, particularly when applied to the Lower Palaeozoic oils of the Deadwood and Winnipeg Formation.     

An Analysis of Catherine＇s Character——Wuthering Heights

Wuthering Heights, Emily Bronte＇s only novel, was published in December of 1847 under the pseudonym Ellis Bell. The book did not gain immediate success, but it is now thought one of the finest novels in the English language. Catherine is the key character of this masterpiece, because everybody and everything center on her though she had a short life. We can understand this masterpiece better if we know Catherine well.     

Characterization of Ordovician carbonate reservoirs, southeastern Saskatchewan, Canada

The discovery of the prolific Ordovician Red River reservoirs in 1995 in southeastern Saskatchewan was the catalyst for extensive exploration activity which resulted in the discovery of more than 15 new Red River pools. The best yields of Red River production to date have been from dolomite reservoirs. Understanding the processes of dolomitization is, therefore, crucial for the prediction of the connectivity, spatial distribution and heterogeneity of dolomite reservoirs.The Red River reservoirs in the Midale area consist of 3～4 thin dolomitized zones, with a total thickness of about 20 m, which occur at the top of the Yeoman Formation. Two types of replacement dolomite were recognized in the Red River reservoir: dolomitized burrow infills and dolomitized host matrix. The spatial distribution of dolomite suggests that burrowing organisms played an important role in facilitating the fluid flow in the backfilled sediments. This resulted in penecontemporaneous dolomitization of burrow infills by normal seawater. The dolomite in the host matrix is interpreted as having occurred at shallow burial by evaporitic seawater during precipitation of Lake Almar anhydrite that immediately overlies the Yeoman Formation. However, the low δ18O values of dolomited burrow infills (-5.9‰～ -7.8‰, PDB) and matrix dolomites (-6.6‰～ -8.1‰, avg. -7.4‰ PDB) compared to the estimated values for the late Ordovician marine dolomite could be attributed to modification and alteration of dolomite at higher temperatures during deeper burial, which could also be responsible for its 87Sr/86Sr ratios (0.7084～0.7088) that are higher than suggested for the late Ordovician seawaters (0.7078～0.7080). The trace amounts of saddle dolomite cement in the Red River carbonates are probably related to "cannibalization" of earlier replacement dolomite during the chemical compaction.     

Features of Women's language

Language is a means of verbal communication. People use language to communicate with each other. In the society, no two speakers are exactly alike in the way of speaking. Some differences are due to age, gender, statue and personality. Above all, gender is one of the obvious reasons. The writer of this paper tries to describe the features of women＇s language from these perspectives： pronunciation, intonation, diction, subjects, grammar and discourse. From the discussion of the features of women＇s language, more attention should be paid to language use in social context. What＇s more, the linguistic phenomena in a speaking community can be understood more thoroughly.     

Design and analysis of generic LBS application developing platform

Location based services is promising due to its novel working style and contents.A software platform is proposed to provide application programs of typical location based services and support new applications developing efficiently. The analysis shows that this scheme is easy implemented, low cost and adapt to all kinds of mobile nework system.     

A computer generator for randomly layered structures

AcomputergeneratorforrandomlylayeredstructuresYUJia shun1,2,HEZhen hua2(1.TheInstituteofGeologicalandNuclearSciences,NewZealand;2.StateKeyLaboratoryofOilandGasReservoirGeologyandExploitation,ChengduUniversityofTechnology,China)Abstract:Analgorithmisintrod…     

橡胶颗粒沥青混合料低温抗裂性试验研究

以AC-13级配为基础,将橡胶颗粒代替部分集料掺入混合料中,以低温弯曲试验为评价方法对不同橡胶颗粒掺量下沥青混合料的低温抗裂性进行研究,并引入应变能密度值对混合料的低温抗裂性进行综合评价.试验结果表明:橡胶颗粒沥青混合料试件的破坏微应变均超过2 300,满足冬寒区的技术指标;无论是否掺加橡胶颗粒,随着温度的下降,沥青混合料破坏时的最大弯拉强度增大,弯拉应变降低,劲度模量增大;弯曲应变能密度在胶粒掺量为1%左右时具有较大的弯曲应变能密度值,此时橡胶颗粒沥青混合料具有较好的低温抗裂性.     

低渗透非均质砂岩油藏启动压力梯度研究

理论推导与室内实验相结合,建立了低渗透非均质砂岩油藏启动压力梯度确定方法。首先借助油藏流场与电场相似的原理,推导了非均质砂岩油藏启动压力梯度计算公式。其次基于稳定流实验方法,建立了非均质砂岩油藏启动压力梯度测试方法。结果表明:低渗透非均质砂岩油藏的启动压力梯度确定遵循两个等效原则。平面非均质油藏的启动压力梯度等于各级渗透率段的启动压力梯度关于长度的加权平均;纵向非均质油藏的启动压力梯度等于各渗透率层的启动压力梯度关于渗透率与渗流面积乘积的加权平均。研究成果可用于有效指导低渗透非均质砂岩油藏的合理井距确定,促进该类油藏的高效开发。     

On Tragic Consciousness In The Works By Ernest Hemingway

As an American modern novelist who were famous in the literary world, Hemingway was not a person who always followed the trend but a sharp observer. At the same time, he was a tragedy maestro, he paid great attention on existence, fate and end-result. The dramatis personae's tragedy of his works was an extreme limit by all means tragedy on the meaning of fearless challenge that failed. The beauty of tragedy was not produced on the destruction of life, but now this kind of value was in the impact activity. They performed for the reader about the tragedy on challenging for the limit and the death.