基于PSCAD/EMTDC软件的高压直流输电仿真教学研究

针对“高压直流输电”课程教学过程中,高压直流系统控制原理复杂抽象,直观上难以理解的特点,本文通过运用PSCAD/EMTDC仿真软件,基于CIGRE HVDC标准测试模型,对高压直流输电系统在整流侧和逆变侧交流系统分别发生故障时的运行特性进行仿真测试。教学实践表明,PSCAD/EMTDC软件的应用加强了学生对理论知识的理解,激发和培养了学生的学习兴趣和动手实践能力,有效地提升了教学效果。     

面向不均衡数据集的过抽样算法

合成少数类过抽样技术（SMOTE）中的噪声样本可能参与合成新样本，所以难以保证新样本的合理性。针对这个问题，结合聚类算法提出了改进算法CSMOTE。该算法抛弃了SMOTE在最近邻间线性插值的思想，使用少数类的簇心与其对应簇中的样本进行线性插值合成新样本，并且对参与合成的样本进行了筛选，降低了噪声样本参与合成的可能。在六个实际数据集上，将CSMOTE算法与四个SMOTE的改进算法以及两种欠抽样算法进行了多次的对比实验，CSMOTE算法在所有数据集上均获得了最高的AUC值。实验结果表明，CSMOTE算法具有更高的分类性能，可以有效解决数据集中样本分布不均衡的问题。     

Generating synthetic benchmark circuits for accelerated life testing of field programmable gate arrays using genetic algorithm and particle swarm optimization

Accelerated life testing (ALT) of a field programmable gate array (FPGA) requires it to be configured with a circuit that satisfies multiple criteria. Hand-crafting such a circuit is a herculean task as many components of the criteria are orthogonal to each other demanding a complex multivariate optimization. This paper presents an evolutionary algorithm aided by particle swarm optimization methodology to generate synthetic benchmark circuits (SBC) that can be used for ALT of FPGAs. The proposed algorithm was used to generate a SBC for ALT of a commercial FPGA. The generated SBC when compared with a hand-crafted one, demonstrated to be more suitable for ALT, measured in terms of meeting the multiple criteria. The SBC generated by the proposed technique utilizes 8.37% more resources; operates at a maximum frequency which is 40% higher; and has 7.75% higher switching activity than the hand-crafted one reported in the literature. The hand-crafted circuit is very specific to the particular device of that family of FPGAs, whereas the proposed algorithm is device-independent. In addition, it took several man months to hand-craft the SBC, whereas the proposed algorithm took less than half-a-day.     

城市基准地价及其地价动态监测分析

城市基准地价是我国地价体系中的重要组成部分，但它是以城市定级为基础而确定的区域土地使用权的平均价格，带有抽象性和局限性，需要从动态的观点来监测分析。     

城市基准地价及其地价动态监测分析

城市基准地价是我国地价体系中的重要组成部分,但它是以城市定级为基础而确定的区域土地使用权的平均价格,带有抽象性和局限性,需要从动态的观点来监测分析。     

Pedestrian and Bicycle Volume Data Collection Using Drone Technology

ABSTRACT

Pedestrian and bicycle volume data is one of the most fundamental types of data for active transportation planning. However, they are not yet well developed. This paper explores an innovative method that uses drone technology to collect pedestrian and bicycle volume data. It confirms the feasibility of the technology as an alternative method to collect complex movements of pedestrians and bicycles. Furthermore, this paper presents a method that converts the video footage to a spatiotemporal dataset. The dataset includes not only the pedestrian and bicycle count data, but also their behavior and characteristics. The spatiotemporal data can become a valuable resource for a variety of active transportation planning practices and research, including the collection of pedestrian and bicycle volume data in parks and recreational areas, the study of collisions between pedestrians and bicycles, and the analysis of the social path. Since it is possible to envision that the development of technologies can overcome current technical difficulties, such as battery lifespan, it is worth considering the application of drone technology to active transportation planning practice and research.     

基于"基准分析"模式的福建城市竞争力评价分析

首先分析国内外城市竞争力评价理论和评价方法,在此基础上构建了城市综合竞争力评价模型,从城市化水平竞争力、城市规模竞争力、城市经济竞争力、基础设施竞争力、人居环境竞争力5个方面共选取16项指标,对福建省城市整体综合竞争力进行评价,并对综合竞争力的情况进行SWOT分析。最后提出了进一步提升福建省城市综合竞争力的对策。     

上海市遥感影像云服务平台设计与实现

针对上海市遥感影像管理和应用现状,采用镶嵌数据集为数据管理基本单元,云端影像处理服务为影像共享应用的基本手段,构建了上海市遥感影像云服务平台。解决了大规模遥感影像管理和应用存在的诸多问题,大幅缩短了影像应用的时间周期,并丰富了传统影像应用的手段,使遥感影像具有更强的适用性。     

改进的万有引力搜索算法在边坡稳定分析中的应用

基于万有引力搜索算法(GSA)提出了一种改进的万有引力搜索算法(MGSA)。针对GSA在处理优化问题时会出现发散的情况,通过限制粒子的速度同时更改算法中的参数来改善这一问题。算法改进后显著提高了GSA中粒子的探索能力与开发能力,可以获得较强的优化能力。采用MATLAB对8个测试基准函数进行仿真实验,并将该方法引入到边坡稳定分析中。对于边坡稳定性分析,利用MGSA搜索出临界滑动面并结合极限平衡法计算出相应的最小安全系数。结果表明:与GSA法及其他方法相比,MGSA在求解最危险滑动面安全系数时具有更好的优化性能。