石墨烯制备及其在低温燃料电池阳极催化中的应用进展

石墨烯是材料科学领域的新星,在电子、能源、环境、生物医学及催化领域的应用备受关注.在电催化领域,石墨烯特殊的结构有利于贵金属催化剂的分散和稳定,可大幅度提高贵金属的催化活性,是理想的载体材料.本文对石墨烯的制备方法及贵金属/石墨烯电催化剂的设计合成的研究进展进行评述.     

环境科学专业实践教学体系的创新与探索

结合重庆三峡学院环境科学专业的实际,就环境科学专业实践教学体系目前存在的问题、改革思路、解决的方法等方面进行了探讨.对环境科学的实践教学进行改革和优化,构建了全新的二层次多平台实践教学新体系.取得了良好的教学效果.     

双掺杂二氧化钛的制备及其在降解染料废水中的应用

作者研究了溶胶-凝胶法制备的Sm、Ag共掺杂的TiO2,并用XRD、TEM等技术表征了催化剂的形貌、结构及吸光性能,样品的表征与光催化活性测试结果表明,Sm离子的引入使催化剂增加了储氧能力及热稳定性和选择性,Ag离子的掺杂显示了电荷分离抑制了光催化的促进作用和对氧气还原反应的催化作用.两种离子的引入使TiO2样品的拓宽了光响应范围,使可见光吸收强度增大.     

多无人机协同探测快速目标的控制方法设计

针对无人机(unmannd aerial vehicle, UAV)对快速运动目标的协同探测问题, 设计了一种多UAV协同探测控制算法。首先假设每架UAV都携带相同的探测载荷, 根据载荷特性设计了针对快速运动目标的UAV协同探测队形。然后引入固定时间控制一致性协议到UAV载荷角度控制中, 控制载荷持续照射目标; 引入有限时间一致性协议到UAV编队控制中, 用以形成协同探测队形, 并通过二跳网络加快队形的收敛。通过将UAV队形控制与UAV载荷的角度控制相结合, 从而实现UAV对快速运动目标探测时间的最大化, 极大的延长了高速运动目标被发现的时间。最终通过理论分析和仿真实验证明了该控制算法的有效性。     

Monopulse instantaneous 3D imaging for wideband radar system

To avoid the complicated motion compensation in interferometric inverse synthetic aperture(InISAR)and achieve realtime three-dimensional(3 D)imaging,a novel approach for 3 D imaging of the target only using a single echo is presented.This method is based on an isolated scatterer model assumption,thus the scatterers in the beam can be extracted individually.The radial range of each scatterer is estimated by the maximal likelihood estimation.Then,the horizontal and vertical wave path difference is derived by using the phase comparison technology for each scatterer,respectively.Finally,by utilizing the relationship among the 3 D coordinates,the radial range,the horizontal and vertical wave path difference,the 3 D image of the target can be reconstructed.The reconstructed image is free from the limitation in InISAR that the image plane depends on the target's own motions and on its relative position with respect to the radar.Furthermore,a phase ambiguity resolution method is adopted to ensure the success of the 3 D imaging when phase ambiguity occurs.It can be noted that the proposed phase ambiguity resolution method only uses one antenna pair and does not require a priori knowledge,whereas the existing phase ambiguity methods may require two or more antenna pairs or a priori knowledge for phase unwarping.To evaluate the performance of the proposed method,the theoretical analyses on estimation accuracy are presented and the simulations in various scenarios are also carried out.     

基于概率图的作战任务智能规划方法

针对人工调配作战资源及规划方案效率低下的问题,本文提出一种基于概率图的作战任务智能规划方法,通过统计分析判定任务间因果关系,采用GNN抽取任务中的关键事件构建概率图并计算任务规划方案成功的概率,进而基于时间序列方法预测战场态势变化,实现辅助指挥员智能决策。最后,本文在某联合登岛案例中开展了方法验证,结果表明,所提出的方法可成功实现任务规划并具有可解释性,可实现对战场态势变化的预测和快速响应,在战场上为军队提供强有力的支持。     

云仿真系统可信度评估问题探讨

云仿真平台支持“云仿真”模式,能够自动查找仿真资源、动态构建云仿真系统。由于云仿真平台具有按需构建仿真服务、多粒度资源共享等特点,云仿真系统的可信度评估工作在仿真资源的可信度、仿真子系统的可信度、仿真运行环境的可靠性等方面面临新的问题。从云仿真系统全生命周期角度,建立了云仿真系统的可信度评估过程模型和云仿真系统可信度评估指标体系,并给出了一种仿真资源排序评估方法,为云仿真系统可信度评估工作提供参考。     

An Adaptive Multiscale Ensemble Learning Paradigm for Nonstationary and Nonlinear Energy Price Time Series Forecasting

For forecasting nonstationary and nonlinear energy prices time series, a novel adaptive multiscale ensemble learning paradigm incorporating ensemble empirical mode decomposition (EEMD), particle swarm optimization (PSO) and least square support vector machines (LSSVM) with kernel function prototype is developed. Firstly, the extrema symmetry expansion EEMD, which can effectively restrain the mode mixing and end effects, is used to decompose the energy price into simple modes. Secondly, by using the fine‐to‐coarse reconstruction algorithm, the high‐frequency, low‐frequency and trend components are identified. Furthermore, autoregressive integrated moving average is applicable to predicting the high‐frequency components. LSSVM is suitable for forecasting the low‐frequency and trend components. At the same time, a universal kernel function prototype is introduced for making up the drawbacks of single kernel function, which can adaptively select the optimal kernel function type and model parameters according to the specific data using the PSO algorithm. Finally, the prediction results of all the components are aggregated into the forecasting values of energy price time series. The empirical results show that, compared with the popular prediction methods, the proposed method can significantly improve the prediction accuracy of energy prices, with high accuracy both in the level and directional predictions. Copyright © 2016 John Wiley & Sons, Ltd.     

嵌入式保健信息查询系统的研究

系统是一个嵌入式应用软件。系统提供了10个方面的保健信息:常见疾病、化验检查、急症急救、就医指南、药品介绍、用药常识、全国医院、保健园地、美容天地、心灵空间,对它们可以进行分类查询、关键字随机查询和更新。同时,系统还提供给用户一些通用功能,如简单文字处理、电子表格、通讯录、计算器、娱乐等。该软件能方便嵌入到基于Windows CE 3.0操作系统的PDA设备中。