改革工程光学实验教学,培养学生创新能力

通过分析工程光学实验教学体系和实验设置,讨论了将工程光学实验单立实验课,有独立的教学大纲,增加实验内容的设计性、综合性实验项目,使实验教学得到完善和发展,有利于提高学生的学习主动性和实验技能,有利于培养学生的创新能力。     

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.     

一个三维Sierpinski块的Hausdorff测度

研究了三维Ｓｉｅｒｐｉｎｋｉ块的Ｈａｕｓｄｏｒｆｆ测度,通过构造质量分布函数,运用质量分布原理获得了一个三维Ｓｉｅｐｉｎｓｋｉ志的Ｈａｕｓｄｏｒｆｆ测度的准确值。     

Protein kinase C reduces Mg2+ block of NMDA-receptor channels as a mechanism of modulation.

The roles of N-methyl-D-aspartate (NMDA) receptors and protein kinase C (PKC) are critical in generating and maintaining a variety of sustained neuronal responses. In the nociceptive (pain-sensing) system, tissue injury or repetitive stimulation of small-diameter afferent fibres triggers a dramatic increase in discharge (wind-up) or prolonged depolarization of spinal cord neurons. This central sensitization can neither be induced nor maintained when NMDA receptor channels are blocked. In the trigeminal subnucleus caudalis (a centre for processing nociceptive information from the orofacial areas), a mu-opioid receptor agonist causes a sustained increase in NMDA-activated currents by activating intracellular PKC. There is also evidence that PKC enhances NMDA-receptor-mediated glutamate responses and regulates long-term potentiation of synaptic transmission. Despite the importance of NMDA-receptors and PKC, the mechanism by which PKC alters the NMDA response has remained unclear. Here we examine the actions of intracellularly applied PKC on NMDA-activated currents in isolated trigeminal neurons. We find that PKC potentiates the NMDA response by increasing the probability of channel openings and by reducing the voltage-dependent Mg2+ block of NMDA-receptor channels.     

Organics challenge inorganics for efficient photoelectrochemical water oxidation

Artificial photosynthesis provides a sustainable approach toward a carbon-neutral or net-zero economy [1].Photoelectro-chemical (PEC) water splitting is one of ...     

蔷薇属植物抗性与叶片和花瓣超微结构相关性分析

月季病害已成为其规模化生产的主要限制性因素之一,科学高效的抗病性鉴定方法可为抗病月季种质资源的筛选提供有力的技术支撑. 以6份蔷薇属种质资源为实验材料,通过氯仿浸提法测定叶片蜡质含量,并利用电镜扫描观察不同种质材料的叶片和花瓣超微结构,对比分析月季抗病能力与蜡质含量及超微结构的关系. 结果表明:高抗种质材料的蜡质含量均较易感种质高;气孔密度、气孔开合度均较易感种质低. 因而,叶片蜡质含量、气孔密度及其开合度均可作为月季种质资源抗病性能力鉴定的形态结构初级指标. 根据蜡质含量结果及其叶片和花瓣超微结构特征,可进行月季种质资源抗病性的早期鉴定,科学高效地筛选出不同抗病水平的月季种质资源,这对新种质资源的引进与开发利用以及杂交后代的抗病高效筛选提供了一定的科学理论依据.       

线性调频-二相编码雷达信号分析

报道了一类由二相编码信号与线性调频信号组合而成的新的脉冲压缩信号。导出了这类信号的表达式。通过理论分析和计算机模拟,给出了该类信号的模糊函数(图),幅度谱特性,匹配滤波器输出波形,多普勒频移特性,有加权时的压缩脉冲时间旁瓣波形和低截获概率等方面的性能。分析证明,该类信号与线性调频信号或二相编码信号相比具有更好的低截获概率特性,其多普勒性能优于二相编码信号。     

非最小相位系统传递函数的演化模型降阶

针对非最小相位系统传递函数的模型降阶工作,通过对频域误差平方和加权的形式,提出了同时考虑频域幅值与相位因素的多目标参数优化指标。针对传统的求解多目标优化方法的不足,提出应用演化算法对此复杂的目标函数进行优化的策略。计算实例说明,使用演化优化方法可以获得幅值与相位特性均较好的降阶模型。     

基于LS-SVM的热处理炉钢板温度预报模型

 根据中厚板热处理炉钢板温度控制的工艺特点,建立了一种基于混合核函数最小二乘支持向量机(LS-SVM)的热处理炉钢板温度预报模型,并给出相应的建模步骤。通过LS-SVM模型拟合输入与输出之间的复杂非线性函数关系,以现场生产工艺数据为训练样本对模型进行学习,再选取测试数据样本对模型进行仿真检验。将模型应用于计算热处理炉钢板温度的数学模型中,仿真结果显示,所建立的模型简单,预报能力强,具有广泛的应用前景。