基于未确知测度理论的定向铅钻遇采空区判识方法研究

老空水害事故是矿井安全生产的重要隐患之一。为确保矿井防治水安全,对老空区的探查与识别必不可少。文章立足于定向钻钻探新技术,根据定向钻观测内容及钻遇采空区的表现特征,确定了钻遇采空区的判识依据,基于未确知测度理论,结合实际案例,研究建立了钻遇采空区综合判识方法。研究结果表明,采用基于未确知测度理论的钻遇采空区判识方法在定向钻钻探过程中能够准确地识别采空区。研究成果对于指导定向钻判识采空区、完善定向钻探查老空区(包括老巷)探查技术体系具有重要参考价值。     

基于风廓线雷达的降水云分类方法在海南地区的应用

将风廓线雷达用于热带降水云体进行垂直探测,可以实时对热带地区降水云体进行较准确分类.通过对海口地区降水云系特征(2017年1月～12月)进行统计分析,提出一套基于风廓线雷达探测数据(回波强度、垂直速度和速度谱宽)的热带降水云体分类方法.以该方法为基础,结合天气雷达等观测资料,对2017年发生在海口地区的两次降水过程展开详细分析.结果表明:风廓线雷达具备较好体现降水云体垂直结构的能力,相比于天气雷达,风廓线雷达探测数据可以更精细地描述降水云系的变化趋势;相比于传统降水分类方案,采用以风廓线雷达探测数据为基础的分类方案可以提高对复杂降水类型识别的正确率;风廓线雷达可以更好地描述快速过境的高空微弱对流系统.     

Facile synthesis of flake-like dihydrate zinc oxalate particles

Monodispersed dihydrated zinc oxalate(ZnC_2O_4·2H_2O) particles with characteristic morphology were synthesized by aging a mixed solution of zinc nitrate(Zn(NO_3)_2) and sodium oxalate(Na_2C_2O_4) in the presence of a citrate ligand, with an average flat size of approximately 10–15 μm. The important parameters, including the solution pH values and the concentration of the zinc ions and citrate ligand, were investigated using a series of experiments. It is verified that the citrate ligand significantly affects the morphology of zinc oxalate particles, probably via its multiple roles of chelating, dispersing, and selective absorption. Thermodynamic equilibrium of the distribution of zinc species in an aqueous solution of Zn(Ⅱ)-citrate-oxalate-H_2O was estimated to explain the experimental results and to clarify the size and morphological evolution mechanism of the precipitated particles.     

Mechanical and corrosion properties of low-carbon steel prepared by friction stir processing

Low-carbon steel plates were successfully subjected to normal friction stir processing(NFSP) in air and submerged friction stir processing(SFSP) under water, and the microstructure, mechanical properties, and corrosion behavior of the NFSP and SFSP samples were investigated. Phase transformation and dynamic recrystallization resulted in fine-grained ferrite and martensite in the processed zone. The SFSP samples had smaller ferrites(5.1 μm), finer martensite laths(557 nm), and more uniform distribution of martensite compared to the NFSP samples. Compared to the base material(BM), the microhardness of the NFSP and SFSP samples increased by 19.8% and 27.1%, respectively because of the combined strengthening effects of grain refinement, phase transformation, and dislocation. The ultimate tensile strengths(UTSs) of the NFSP and SFSP samples increased by 27.1% and 38.7%, respectively. Grain refinement and martensite transformation also improved the electrochemical corrosion properties of the low-carbon steel. Overall, the SFSP samples had better mechanical properties and electrochemical corrosion resistance than the NFSP samples.     

UPLC-MS/MS法同时检测小花鬼针草中6种单体成分的含量

建立了一种应用UPLC-MS/MS同时测定小花鬼针草中6种单体成分原儿茶酸、芦丁、金丝桃苷、槲皮苷、槲皮素和山奈酚含量的方法。小花鬼针草药材粉碎后,经甲醇超声提取稀释后进样,采用负离子多反应监测（MRM）模式同时测定提取物中6种单体成分的含量,并以芍药苷为内标。色谱柱为Agilent SB C18 （50 mm × 2.1 mm, 1.8 μm）,流动相为乙腈-0.1%甲酸水溶液,梯度洗脱,流速为0.4 mL/min,柱温为35 ℃。结果表明,该方法所测6种成分在相应的质量浓度范围内,峰面积与浓度线性关系良好,r＞0.999 0;平均加样回收率（n=6）为92.1% ～95.5%,相对标准偏差≤4.50%。该方法简单快捷、灵敏度高、专属性强,可同时测定小花鬼针草中6种单体成分。     

Template/surfactant free and UV light irradiation assisted fabrication of Mn-Co oxides composite nanorings: Structure and synthesis mechanism

A facile, green, cost effective, and template or surfactant free strategy via a two-step route i.e. UV irradiation followed by dissolution-growth for the controlled synthesis of Mn-Co composite nanorings at room temperature was proposed. The nanorings structures and the process were systematically studied via TEM, HRTEM, EDX and XRD. Bir-MnO_2 nanosheets first formed through the direct photolysis of KMnO_4 under UV light irradiation. This was followed by a dissolution-growth process via the dissolution of Bir-MnO_2 nanosheets by the generated H~+ from the redox reaction between the added Co(NO_3)_2 and residual KMnO_4, as well as the accompanied formation of CoOOH, and Mn-Co composite nanorings. It was found that a balance between the dissolution and growth rate was needed. Suitable pH, KMnO_4 presence and the starting nanosheets like Bir-MnO_2 were the key factors for the formation of nanorings. The obtained Mn-Co nanorings/TiO_2 showed enhanced efficiency for the catalytic oxidation of HCHO. Based on the above understandings, it is believed that the developed dissolution-growth method can be adopted for the designing and preparation of other Mn-Co composite nanostructures which can be further applied for environmental pollution remediation.     

A Hierarchical Ensemble Learning Framework for Energy-Efficient Automatic Train Driving

Railway transportation plays an important role in modern society. As China's massive railway transportation network continues to grow in total mileage and operation density, the energy consumption of trains becomes a serious concern. For any given route, the geographic characteristics are known a priori, but the parameters(e.g., loading and marshaling) of trains vary from one trip to another. An extensive analysis of the train operation data suggests that the control gear operation of trains is the most important factor that affects the energy consumption. Such an observation determines that the problem of energy-efficient train driving has to be addressed by considering both the geographic information and the trip parameters. However, the problem is difficult to solve due to its high dimension, nonlinearity, complex constraints, and time-varying characteristics. Faced with these difficulties, we propose an energy-efficient train control framework based on a hierarchical ensemble learning approach. Through hierarchical refinement, we learn prediction models of speed and gear. The learned models can be used to derive optimized driving operations under real-time requirements. This study uses random forest and bagging – REPTree as classification algorithm and regression algorithm, respectively. We conduct an extensive study on the potential of bagging, decision trees, random forest, and feature selection to design an effective hierarchical ensemble learning framework. The proposed framework was testified through simulation. The average energy consumption of the proposed method is over 7% lower than that of human drivers.     

Effects of Hot Wire Temperature on Properties of GeSi:H Films with High Hydrogen Dilution by Hot-Wire Chemical Vapor Deposition

GeSi:H films are prepared by hot-wire chemical vapor deposition(CVD) with high hydrogen dilution, DH=98%. Effects of hot wire temperature(T_w) on deposition rate, structural properties and bandgap of GeSi:H films are studied with surface profilemeter, Raman spectroscopy, Fourier transformed infrared spectroscopy, and UV-VIS-NIR spectrophotometer. It is found that the deposition rate(Rd) goes up with increasing of T_w, but increasing rate of Rd declines when T_w≥1 550 ℃. High T_w is beneficial to the formation of Ge-Si, but it has little effect on relative contents of the hydrogen bonds(Ge-H, Si-H, etc.) in the films. In the T_w range of 1 400-1 850 ℃, the maximum bandgap of the GeSi:H films is 1.39 eV at T_w =1 450 ℃ and the band gap decreases with T_w increasing when T_w≥1 450 ℃.     

R型半胱氨酸体系电荷转移百分数的理论计算

采用密度泛函理论中的CAM-B3LYP方法, 在6-31G(d)基组水平上优化气相条件下R型半胱氨酸(R-Cys)分子的几何构型, 理论研究电子激发过程中R-Cys体系片段间的电荷转移特征, 并基于弛豫与非弛豫激发态密度计算片段间的电荷转移百分数. 结果表明: 对于SH片段, S0到S3的电荷转移百分数为57.96%; 对于COOH片段, S0到S1~S5各激发态的电荷转移百分数均为负值, 二者电荷转移的定性结果一致; 对于NH2片段, S0到S1和S4的电荷转移百分数分别为6.98%和31.45%.     

图像编码技术的发展

本文回顾了常规的图像编码技术及其进展，介绍了近年来迅猛发展起来的新的图像编码技术，并讨论了这些技术的发展前景。