Java程序设计课程的案例设计

解释了"项目驱动、案例教学、理论实践一体化"教学方法的基本思路,给出了Java程序设计课程的案例设计.     

HVDC送端交流系统故障暂态过电压评估指标

特高压直流输电系统直流闭锁故障及交流系统短路故障引起的暂态过电压,对系统稳定性造成严重冲击。量化评估交直流系统暂态性能指标,对确定交直流电力系统规划设计和调度运行具有指导意义。对交流系统暂态过电压机理进行分析,推导出基于无功补偿和短路比的暂态过电压计算方法,基于系统短路比与补偿电容和交流滤波器参数的比值定义了暂态电压评估指标R_r。研究表明,随着该暂态电压评估指标R_r减小,系统故障后送端换流母线暂态电压升高,受端也会发生不同程度的换相失败。最后,基于国际大电网会议直流标准测试系统,验证了所提指标的有效性。     

Reflectivity measurement technology of special high reflective mirrors and uncertainty analysis of measurement results

In order to meet the reflectivity measurement requirements of any incident angle at different points of the large size special high mirror, a rotating cavity ring-down spectroscopy high reflectivity measurement system was built, in which the rotation function of the resonant cavity was set, and the lifting and parallel travelling mechanism of the measured mirror was added. Furthermore, the uncertainty of the measurement results was analyzed and calculated. The results showed that the reflectivity of a high reflective mirror measured by the system was 99.979 5%, the measurement accuracy reached the order of 10-6, and the combined standard uncertainty of reflectivity measurement was 0.002 8%. Collectively, these results provide a detection guarantee for the maintenance of the large size special high mirror, and provide ideas and methods for the uncertainty analysis of measurement results of similar equipment parameters.     

换装行人重识别研究进展

行人重识别旨在建立目标行人在多个无交叉覆盖监控区域间的身份联系,在智慧城市、司法侦查和监控安全等领域具有重要应用价值。传统行人重识别方法针对短时间跨度场景,依赖行人外观特征的稳定不变性,旨在克服光照差异、视角变化和物体遮挡等挑战。与之不同,换装行人重识别针对长时间跨度场景,除受限于上述挑战还面临换装带来的外观变化问题,是近几年的一个研究难点和热点。围绕换装行人重识别,本文从数据集和解决方法两个方面综述国内外研究进展,探讨面临的挑战和难点。首先,梳理并比较了当前针对换装行人重识别的数据集,从采集方式、行人及样本数量等方面分析其挑战性和面临的局限性。然后,在简单回顾换装行人重识别发展历史的基础上,将其归纳为基于非视觉传感器的方法和基于视觉相机的方法两类。针对基于非视觉传感器的方法,介绍了深度传感器、射频信号等在换装行人重识别中的应用。针对基于视觉相机的方法,详细阐述了基于显式特征设计与提取的方法、基于特征解耦的方法和基于隐式数据驱动自适应学习的方法。在此基础上,探讨了当前换装行人重识别面临的问题并展望未来的发展趋势,旨在为相关研究提供参考。     

植入式脑机接口技术向医疗器械转化的问题与挑战

该文回顾了过去几十年脑机接口技术取得的成果,以及脑机接口科研成果向临床医疗器械转化过程中,将会面临的挑战。对此,该文首先介绍了脑机接口技术常用的信号源,包括脑电图、皮层电图和皮层内电信号及其特点;其次叙述了对商用脑机接口产品的解码能力和信息双向闭环的考量,讨论了目前脑机接口商用机设计中存在的稳定性、生物相容性挑战;最后阐述了植入式脑机接口向医疗器械转化过程中,产业化发展的政策、资金和技术路线的协同发展问题。     

A blockchain-based framework for data quality in edge-computing-enabled crowdsensing

With the rapid development of mobile technology and smart devices, crowdsensing has shown its large potential to collect massive data. Considering the limitation of calculation power, edge computing is introduced to release unnecessary data transmission. In edge-computing-enabled crowdsensing, massive data is required to be preliminary processed by edge computing devices (ECDs). Compared with the traditional central platform, these ECDs are limited by their own capability so they may only obtain part of relative factors and they can’t process data synthetically. ECDs involved in one task are required to cooperate to process the task data. The privacy of participants is important in crowdsensing, so blockchain is used due to its decentralization and tamper-resistance. In crowdsensing tasks, it is usually difficult to obtain the assessment criteria in advance so reinforcement learning is introduced. As mentioned before, ECDs can’t process task data comprehensively and they are required to cooperate quality assessment. Therefore, a blockchain-based framework for data quality in edge-computing-enabled crowdsensing (BFEC) is proposed in this paper. DPoR (Delegated Proof of Reputation), which is proposed in our previous work, is improved to be suitable in BFEC. Iteratively, the final result is calculated without revealing the privacy of participants. Experiments on the open datasets Adult, Blog, and Wine Quality show that our new framework outperforms existing methods in executing sensing tasks.     

渝鄂柔性直流输电系统中高频振荡影响因素及抑制策略

针对柔性直流输电工程中出现的中高频振荡问题,现有解决方法是在电压前馈通道中增设滤波器以抑制高频振荡,但增加了中频振荡的风险。以渝鄂柔直工程南通道单元为研究对象,提出了一种通过调整控制链路延时以避免中、高频振荡的方法。首先,基于多谐波线性化原理建立了MMC换流站阻抗模型,详细分析控制链路延时、电网电压前馈策略对MMC换流站阻抗特性以及对系统稳定性的影响;然后,探讨通过调整控制链路延时以避免中高频振荡的可行性,并给出了控制链路延时的选择方法;最后,通过PSCAD/EMTDC电磁暂态仿真验证了所提方法可实现渝侧、鄂侧系统中高频振荡抑制,同时对系统动态特性影响较小。     

多端直流汇流母线差动保护的整定逻辑、配合原则和工程应用研究

随着两端直流日臻成熟,多端直流逐渐得到应用,尤其是最近几年相继建成了多条多端直流,可预见三端乃至多端直流将在电力系统中起到越来越重要的作用.三端直流的工程应用为电力系统的发展带来了许多前沿课题.以禄高肇直流汇流母线差动保护为例,分析了汇流母线差动保护的判据、整定逻辑和保护配合原则,以及在工程中的应用情况,并提出改进建议.     

基于IPSO-BiLSTM-AM模型的超短期风电功率预测方法

针对现有模型预测准确性与稳定性较低的问题,提出一种以BiLSTM为基础的风电功率预测模型。BiLSTM可以很好的处理风电多变量之间的非线性关系,其次采用改进的PSO优化BiLSTM的超参数,并通过AM训练模型的权重。最后采用内蒙古自治区某风电场的历史数据进行提前0~15 min试验。结果表明,提出的IPSO-BiLSTM-AM模型具有较高的预测精度,可以为风电场电力调度与控制提供科学参考。