基于动态博弈的补贴模式对机场群航线网络结构的影响研究

为探讨不同补贴模式对机场群航线网络结构的影响，本文构建了关于机场、航空公司和乘客之间的动态博弈模型，通过逆向归纳法得到了纳什均衡条件. 研究结果发现：（1）不同的补贴模式对多机场航线网络结构产生重要影响，低补贴模式促使机场群倾向于形成点对点航线网络结构，反之，在高补贴模式下机场群易于形成枢纽辐射航线网络； （2）在较低的空铁联运总运营成本环境下，补贴竞争使得航空公司倾向于选择系统内的大型机场作为枢纽机场；反之，如果空铁联运总运营成本相对较高，补贴竞争使得航空公司倾向于选择小机场作为枢纽节点； （3）随航班固定成本和空铁联运总运营成本的增大，大型机场作为枢纽节点的概率逐渐减少，而小机场被选为枢纽节点的概率将逐渐增大. 随着机场群内大型机场腹地服务人口比例的增大，航空公司选择点对点航线网络的概率在减小. 研究结论能够为民航管理部门科学制定和应用航线补贴政策提供决策依据.     

Heusler合金Fe_2VAl的晶体结构与热电性能研究

采用真空电弧熔炼和放电等离子烧结技术制备了Full-Heusler合金Fe_2VAl,利用XRD、XPS对合金的物相结构与成分进行表征,在300～800K温度区间内测试了合金的Seebeck系数、电阻率、热导率等热电参数,并将实验结果与基于L2_1有序结构Fe_2VAl合金的模拟计算值进行了比较。结果表明,实验所制的合金样品中Fe、Al、V原子比接近于2∶1∶1,基本满足Fe_2VAl合金的成分配比;结合XRD衍射谱及10K下合金的饱和磁矩可知,所制合金样品中除了完全有序的L2_1结构相外,还存在部分的B2相。另一方面,基于热电性能测试结果可知,所制Fe_2VAl合金表现出典型的n型半导体特性,其Seebeck系数和电阻率随着温度的升高而降低,这与利用VASP和BoltzTraP软件包结合计算得到的L2_1结构Fe_2VAl合金的热电参数随温度(300～800K)的变化趋势相符合;合金的热导率随着温度的升高呈先降低后升高的趋势,在500K附近具有极小值,而无量纲参数热电优值ZT在500K附近达到最大值,约为0.052。     

动车所调车作业计划优化模型与算法

本文在分析动车组一级修作业流程特点的基础上,将动车所调车作业计划优化问题构建为整数规划模型并设计了融合"股道均衡分配规则""股道无效占用时间最小化规则""冲突消解策略"的启发式算法对问题进行求解,以动车所实际案例为背景验证了模型和算法的有效性。结果表明,所提出优化模型和算法是有效的;所提启发式算法相比三类常见的调度方法具有明显的优越性。     

基于联合违约概率的资产组合投资优化方法

投资组合的资产联合违约概率(joint,probability of default,JPoD)是一种有效的系统风险测度工具.基于JPoD分析,提出了一种新的资产组合选择优化方法,即通过计算资产池中每两种资产的JPoD值得到JPoD矩阵,利用遍历算法逐次筛选,得出具有最小系统风险的多资产组合.实证分析首先利用2014 2015年的上证综指和深证成指数据验证了JPoD方法的有效性;其次,分别利用中国股票市场数据和美国股票市场数据将所提出的资产组合选择方法与马科维茨均值-方差组合理论、随机组合方法进行比较,结果表明无论是在中国股票市场还是美国股票市场,JPoD方法都明显优于其他两种方法.     

Location-and Relation-Based Clustering on Privacy-Preserving Social Networks

Graph clustering has a long-standing problem in that it is difficult to identify all the groups of vertices that are cohesively connected along their internal edges but only sparsely connected along their external edges. Apart from structural information in social networks, the quality of the location-information clustering has been improved by identifying clusters in the graph that are closely connected and spatially compact. However, in real-world scenarios,the location information of some users may be unavailable for privacy reasons, which renders existing solutions ineffective. In this paper, we investigate the clustering problem of privacy-preserving social networks, and propose an algorithm that uses a prediction-and-clustering approach. First, the location of each invisible user is predicted with a probability distribution. Then, each user is iteratively assigned to different clusters. The experimental results verify the effectiveness and efficiency of our method, and our proposed algorithm exhibits high scalability on large social networks.     

基于偏振复用和反射式半导体光放大器的WDM-RoF-PON系统设计

基于偏振复用原理和反射式半导体光放大器RSOA(reflective semiconductor optical amplifier)的再调制特性,融入了光载无线RoF(radio over fiber)技术,设计了一种新型的可以实现多种信号混传的波分复用无源光网络WDM-PON(wavelength division multiplexing passive optical network)系统。在中心站,无线信号和有线信号同时调制到两个偏振态正交的光载波上,并耦合到标准单模光纤中传输。在基站,将两个偏振态正交的信号分离后,一方面可以探测得到四倍频毫米波信号和有线信号,另一方面还可以通过RSOA实现载波重用。通过Optisystem软件对该系统进行模拟仿真,得到了调制信号的光谱和接收端信号的眼图,分析了传输信号误码率与接收光功率的关系,结果表明,该系统传输性能良好。     

Theoretical and experimental design of Pt-Co(OH)_2 electrocatalyst for efficient HER performance in alkaline solution

Design efficient electrocatalysts become significant for the hydrogen evolution reaction (HER) in alkaline solution.Here,the HER performance on Pt-Co(OH)2 has been investigated by using DFT calculations.Compared with pure Pt,the Pt-Co(OH)2 shows excellent hydrogen binding energy (-0.29 eV) and hydrogen adsorption free energy (0.02 eV).More strikingly,the water dissociation process on Pt-Co(OH)2 is an exothermic reaction while that of Pt is an endothermic reaction,demonstrating that the Pt-Co(OH)_2 is an excellent catalyst for HER in alkaline medium.Then the two-step electrodepositions was used to fabricate Pt-Co(OH)2 on the carbon paper (CP).The Pt-Co(OH)_2/CP shows the lowest overpotential of only 37.6 mV at a current density of 10 mA cm~(-2) in 0.1M KOH,the smallest Tafel slope of58 mV dec~(-1) and the good stability for 20000s without obvious degradation.     

基于BIM技术的室内照明仿真模拟软件计算精度解析

建筑照明专业参与BIM （building information modeling）技术的同平台作业还处于起步阶段。DIALux evo 8.2和ElumTools 2019.07是目前仅有的参与BIM技术的室内照明仿真模拟软件。采用CIE （Commission Internationale de i''Eclairage）发布的CIE 171：2006—test cases to assess the accuracy of lighting computer programs的5.2至5.8测试用例，通过验证这2款软件的计算精度，分析得出软件性能的优缺点。结果表明：在计算点光源直接照度、面光源直接照度以及光通量守恒性能这3个方面，2款软件均具有较高精度；计算大面积漫反射、遇遮挡和不同反射率这3种情况的间接照度时，DIALux evo 8.2计算精度优于ElumTools 2019.07；计算小面积漫反射的间接照度精度时，ElumTools 2019.07计算精度优于DIALux evo 8.2；计算定向透射性能时，这2款软件精度均比较低。进一步分析得出：核心算法是产生误差的主要原因，2款软件信息交换均存在一定缺陷。因此，采用光子映射算法，创建建筑与照明全信息交换接口将成为未来基于BIM技术的室内照明仿真模拟软件的研发方向。     

Steganalysis of neural networks based on parameter statistical bias

Many pretrained deep learning models have been released to help engineers and researchers develop deep learning-based systems or conduct research with minimall effort. Previous work has shown that at secret message can be embedded in neural network parameters without compromising the accuracy of the model. Malicious developers can, therefore, hide malware or other baneful information in pretrained models, causing harm to society. Hence, reliable detection of these vicious pretrained models is urgently needed. We analyze existing approaches for hiding messages and find that they will ineluctably cause biases in the parameter statistics. Therefore, we propose steganalysis methods for steganography on neural network parameters that extract statistics from benign and malicious models and build classifiers based on the extracted statistics. To the best of our knowledge, this is the first study on neural network steganalysis. The experimental results reveal that our proposed algorithm can effectively detect a model with an embedded message. Notably, our detection methods are still valid in cases where the payload of the stego model is low.