阿尔泰南缘北塔山组火山岩锆石U-Pb定年及地质意义

新疆阿尔泰南缘北塔山组火山岩较为发育。本文对新疆阿尔泰南缘默色克奥依一带北塔山组火山岩进行地球化学分析和年代学研究。研究表明：U-Pb锆石年龄为（384.3±4.0Ma）Ma，为中泥盆世；该组火山岩属于钾质钙碱性系列，全碱（Na2O+K2O=2.07%-6.49%）和YiO2（0.24%-0.64%）含量较低，K2O含量（1.11%-4.04%）变化较大，稀土元素含量（∑REE）较低。稀土元素显示其轻稀土富集且分馏不明显；δEu值均大于1，为Eu富集型；δCe值均小于1，为Ce亏损型。该组火山岩微量元素P明显富集，K、Rb、Ba等大离子亲石元素（LILE）略富集，亏损Ta、Zr、Hf、Ti等高场强元素（HISF）。结合前人研究，本文认为默色克奥依一带北塔山组火山岩形成于岛弧及与俯冲过程有关的活动大陆边缘造山带环境，为泥盆纪古大洋俯冲消减过程中，俯冲板片脱水产生的流体交代上覆地幔楔部分熔融的产物。     

基于LP与小波包的复杂机电系统监测序列混沌降噪方法

针对流程工业生产系统监测数据存在强噪声和混沌性的特点,提出了一种局部投影方法(Local Projection Method)与小波包方法相结合的信号降噪方法。该方法先利用局部投影方法从动力学系统嵌入流形的角度进行多次迭代降噪,并根据关联维数来判定迭代终止;再利用小波包方法从频率的角度进行降噪,抑制高频噪声的干扰,取得了较好的降噪效果。用Lorenz时间序列进行仿真验证,对仿真时间序列加入不同程度的噪声,对比分析小波包、局部投影与该方法降噪后的相空间、SNR值和最大Lyapunov指数,证明了该方法对于中高强度噪声具有更好的降噪效果。并将该方法用于某压缩机组的实际监测数据降噪,评估三种方法的降噪效果,进一步验证了该方法的优越性。     

四川盆地震旦系灯影组丘滩体发育分布及对储层的控制

四川盆地震旦系灯影组储层主要发育于微生物丘滩体中，但不同成因类型丘滩体对储层的影响尚不明确。通过钻井岩心和野外露头观测、岩石薄片分析和物性测试等手段，将丘滩体划分为丘基、丘核、丘翼和丘坪4种微相，并根据微相的组合划分出台缘并进型丘滩体、台缘追补型丘滩体和台内饥饿型丘滩体3种丘滩体类型。台缘并进型丘滩体的生长速率快，与可容空间的增加速率相同步，其微相组合以"丘基+丘核"垂向加积为主，在海平面升降过程中易暴露于大气淡水环境，造成海水胶结作用弱、淡水溶蚀作用强，形成以格架溶蚀孔洞为主的储集空间，储层物性好，储集性能最优。台缘追补型丘滩体的生长速率次之，其早期的生长速率滞后于可容空间增长速率但后期逐渐同步，呈现出"丘基+丘核+丘翼/丘坪"侧向加积的微相组合；由于暴露于大气淡水环境的几率减小，其海水胶结作用强，淡水溶蚀作用减弱，储集性能稍差。台内饥饿型丘滩体的生长速率最慢，严重滞后于可容空间的增长速率，呈"云坪（丘基）+丘核+丘坪"微相组合，难以暴露于大气淡水环境，淡水溶蚀作用最弱，储集性能也最差。台缘带古地貌对丘滩体的生长速率影响较大，可控制丘滩体的沉积样式。陡坡台缘带有利于台缘并进型丘滩体发育，缓坡台缘带主要发育台缘追补型丘滩体，台内高地中发育台内饥饿型丘滩体。胡家坝-阆中-安岳地区一带的震旦系灯影组四段发育于典型的陡坡台缘带，是储层发育的最有利相带。     

基于间隔理论的过采样集成算法

针对传统集成算法不适用于不平衡数据分类的问题，提出基于间隔理论的AdaBoost算法（MOSBoost）。首先通过预训练得到原始样本的间隔；然后依据间隔排序对少类样本进行启发式复制，从而形成新的平衡样本集；最后将平衡样本集输入AdaBoost算法进行训练以得到最终集成分类器。在UCI数据集上进行测试实验，利用F-measure和G-mean两个准则对MOSBoost、AdaBoost、随机过采样AdaBoost（ROSBoost）和随机降采样AdaBoost（RDSBoost）四种算法进行评价。实验结果表明，MOSBoost算法分类性能优于其他三种算法，其中，相对于AdaBoost算法，MOSBoost算法在F-measure和G-mean准则下分别提升了8.4%和6.2%。     

An enhanced data-driven polynomial chaos method for uncertainty propagation

As a novel type of polynomial chaos expansion (PCE), the data-driven PCE (DD-PCE) approach has been developed to have a wide range of potential applications for uncertainty propagation. While the research on DD-PCE is still ongoing, its merits compared with the existing PCE approaches have yet to be understood and explored, and its limitations also need to be addressed. In this article, the Galerkin projection technique in conjunction with the moment-matching equations is employed in DD-PCE for higher-dimensional uncertainty propagation. The enhanced DD-PCE method is then compared with current PCE methods to fully investigate its relative merits through four numerical examples considering different cases of information for random inputs. It is found that the proposed method could improve the accuracy, or in some cases leads to comparable results, demonstrating its effectiveness and advantages. Its application in dealing with a Mars entry trajectory optimization problem further verifies its effectiveness.     

Thermodynamic description of the Cu-Ge-Pb system: Experiment and modeling

Decades of scientific work dedicated to the investigation of phase diagrams gave significant benefit to industry and science. After all those years of phase diagram investigation still there is missing information about phase diagram of some ternary systems. One of those systems is Cu-Ge-Pb. It is known importance of Cu-based alloys and Ge-based alloys in electro industry. Since such combination is not tested before this work will provide information about phase diagram of ternary Cu-Ge-Pb system. In this work ternary Cu-Ge-Pb system has been tested experimentally and analytically by using Calphad model. Two isothermal sections at 600 and 400 °C and three vertical sections are experimentally tested and results were compared with calculated corresponding phase diagrams. None of the ternary compound and large solubility of third element in binary compound is not confirmed. Liquidus projection, invariant reaction and scheme of invariant reaction are presented. Scheil and Lever simulation of solid phases for Cu₈₀Ge₁₀Pb₁₀ alloy were calculated.     

Using electroencephalogram to continuously discriminate feelings of personal thermal comfort between uncomfortably hot and comfortable environments

Thermal comfort is an important factor for the design of buildings. Although it has been well recognized that many physiological parameters are linked to the state of thermal comfort or discomfort of humans, how to use physiological signal to judge the state of thermal comfort has not been well studied. In this paper, the feasibility of continuously determining feelings of personal thermal comfort was discussed by using electroencephalogram (EEG) signals in private space. In the study, 22 subjects were exposed to thermally comfortable and uncomfortably hot environments, and their EEG signals were recorded. Spectral power features of the EEG signals were extracted, and an ensemble learning method using linear discriminant analysis or support vector machine as a sub-classifier was used to build the discriminant model. The results show that an average discriminate accuracy of 87.9% can be obtained within a detection window of 60 seconds. This study indicates that it is feasible to distinguish whether a person feels comfortable or too hot in their private space by multi-channel EEG signals without interruption and suggests possibility for further applications in neuroergonomics.     

基于光谱分类模型的保险杠物证无损研究

采用中红外光谱结合化学计量学的方法对车用保险杠碎片进行鉴别，分别对52个车用保险杠碎片样本的全波段光谱数据、指纹区光谱数据和主成分分析降维后的光谱数据建立Fisher判别分析和K近邻算法2种分类模型，并对分类结果进行比较。结果表明，主成分分析提取特征变量后构建的分类模型，分类的准确率更高，对聚丙烯（PP）、PP/滑石粉、PP/滑石粉/碳酸钙（CaCO₃）3种类型的样本分类准确率达到92.3 %，对PP/滑石粉类型中的10种品牌样本分类准确率达到88.9 %，分类结果理想；在构建的2种分类模型中，Fisher判别分析模型的分类率远高于K近邻算法模型，分析认为K近邻算法模型受到样本不均衡的影响；中红外光谱结合化学计量学可以实现对车用保险杠碎片的准确区分，且满足快速、无损的检验要求。