改进的DAGSVM手势识别方法

在现有支持向量机多分类方法基础上,提出了一种改进的有向无环图支持向量机(DAGSVM)手势识别方法.分析了传统有向无环图支持向量机分类器生成顺序随机化的不足,引入类间距离和类的标准差作为生成分类器的测度.利用Kinect获取场景深度信息得到手势图像,提取手势特征并训练SVM分类器,并采用改进后的方法得到DAGSVM分类器.实验证明:与其他支持向量机多分类器相比,改进后的DAGSVM分类器能够达到更高的识别率,将这个手势识别方法用于智能轮椅的控制上,取得了良好的效果.     

基于AP算法支持向量机的设计与应用

设计一种基于AP聚类算法和SVM分类器相融合的新的混合分类器, 使用AP聚类算法优化数据集, 得到了高质量、 小样本的SVM分类器训练集. 实验结果表明: 与传统的SVM分类器相比, 混合分类器具有更高的分类精度; 在心脏病预测上, 该分类器的效果较好.     

支持向量机在地层识别中的应用

以径向基函数RBF为核函数,根据测井数据建立支持向量机的地层识别模型(SVMM).通过对SVMM分类器中惩罚参数C的优选,结合生产工程需要引入判断函数,提高了SVMM分类器的分类正确率.试验表明:SVM分类器应用在地层识别中效果良好,而且具有广阔的应用前景.     

利用表面肌电进行手势自动识别

针对手势自动识别研究中提高正确率和降低训练时间两者需要同时兼顾的问题,提出了一种基于Fisher Score(FS)特征降维方法与机器学习相结合的新的手势识别模型。提取4通道表面肌电信号的时域、频域、时-频域和非线性特征,构成特征集;采用FS方法和主成分分析(PCA)方法分别进行特征降维,采用线性判别分析(LDA)和支持向量机(SVM)分别作为分类器;通过两种特征降维方法与两种分类器的不同组合构建不同的手势识别模型,并对分类模型的性能进行对比研究。实验结果表明,特征降维方法与分类器的组合能显著提高分类器的正确率、降低训练时间。与PCA方法相比,FS方法是一种实现简便、效果理想的特征降维方法:与SVM组合的分类模型获得最高分类正确率99.92%;与LDA组合的分类模型不仅获得99.24%的分类正确率,而且花费最短的训练时间1.44ms,该模型可为手势的实时自动识别提供理想的方法和途径。     

基于一类SVM的贝叶斯分类算法

提出一种基于一类支持向量机(one-class SVM)的贝叶斯分类算法,该算法用一类SVM对类条件概率密度进行估计以构造贝叶斯分类器. 证明采用高斯核的一类SVM,其解可以归一化为密度函数,并把该密度函数看作类条件概率密度的平滑估计,构造贝叶斯分类器. 实际数据集上的实验结果表明,提出的分类算法测试准确率高于简单贝叶斯分类器与贝叶斯网络分类器,不低于传统二类SVM;比传统二类SVM需要计算的核矩阵规模更小,训练时间更短.     

基于SVM多类分类算法的模拟电路软故障诊断

给出了基于支持向量机(SVM)1-v-1和决策导向无环图(decision directed acyclic graph,DDAG)多类分类算法的模拟电路软故障诊断新方法.DDAG是在1-v-1算法基础上构建的新的学习架构,在对多个SVM子分类器进行组合的过程中,引入了图论中有向无环图的思想.比较了采用不同核函数时支持向量机的分类结果.实验结果表明采用DDAG支持向量机(DAGSVM))多类分类算法时,诊断准确率为99%.因此,DAGSVM算法具有较高的诊断准确率.     

改进的SVM决策树分类算法

为解决多类分类问题,在分析SVM决策树分类器及存在问题的基础上,通过引入类间可分离性测度,并将其扩展到核空间,提出一种改进的SVM决策树分类器。实验表明了该分类算法对提高分类正确率的有效性。     

使用增量SVM进行文本分类

针对传统SVM无法适应文本数据库随着时间不断更新的问题,通过对新增文本集的KKT条件的分析,研究了加入新增文本集后支持向量集的变化,提出了使用增量SVM进行文本分类的算法,并通过实验验证了通过该算法得到的分类器和传统分类器有着相似的分类能力和泛化能力.     

云计算环境的并行支持向量机

针对基于GPU和MPI并行的支持向量机（SVM）算法不适合于云计算环境,设计了一种基于多级SVM的并行支持向量机模型,实现了云计算环境下的序列最小优化（SMO）的并行算法。该算法通过MapReduce系统将大规模训练数据集划分为若干小训练集,再由这些小训练集开发多级的SVM,最后收集每一个SVM最优超平面附近的样本数据来训练另一个新的SVM。实验结果表明,该算法在时间消耗与分类正确率等综合方面比单机算法和传统并行算法获得更好的效果。     

基于支持向量机的脑电信号分类方法研究

针对传统支持向量机分类方法在脑电信号处理中存在分类正确率低的问题,将聚类思想与二叉树支持向量机(SVM)结合,构造多类SVM分类器。实验以"BCI Competition 2005"中的Dataset IIIa为例,先对C3/C4导采集的四类运动想象脑电信号应用小波变换进行去噪。再在分析小波包频带划分特点的基础上,利用小波包进行分解与重构,获取相应的能量特征。最后应用改进后的SVM分类方法对特征信号进行分类。结果表明该方法分类正确率,可以达到91.12%;并且有效地减少了分类器的个数,最终达到较好的识别效果。     

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.     

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.     

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.     

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.     

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。     

Quantitative trait loci （QTLs） for quality traits related to protein and starch in wheat

Quality traits in wheat （Triticum aestirum L.） were studied by quantitative trait locus （QTL） analysis in a recombinant inbred line （RIL） population, a set of 131 lines derived from Chuan 35050 × Shannong 483 cross （ChSh）. Grains from RILs were assayed for 21 quality traits related to protein and starch. A total of 35 putative QTLs for 19 traits with a single QTL explaining 7.99-40.52% of phenotypic variations were detected on 10 chromosomes, 1D, 2A, 2D, 3B, 3D, 5A, 6A, 6B, 6D, and 7B. The additive effects of 30 QTLs were positive, contributed by Chuan 35050, the remaining 5 QTLs were negative with the additive effect contributed by Shannong 483. For protein traits, 15 QTLs were obtained and most of them were located on chromosomes 1 D, 3B and 6D, while 20 QTLs for starch traits were detected and most of them were located on chromosomes 3D, 6B and 7B. Only 7 QTLs for protein and starch traits were co-located in three regions on chromosomes 1D, 2A and 2D. These protein and starch trait QTLs showed a distinct distribution pattern in certain regions and chromosomes. Twenty-two QTLs were clustered in 6 regions of 5 chromosomes. Two QTL clusters for protein traits were located on chromosomes 1D and 3B, respectively, three clusters for starch traits on chromosomes 3D, 6B and 7B, and one cluster including protein and starch traits on chromosome 1D.     

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.