Electron cryo-microscopy of biological specimens on conductive titanium-silicon metal glass films

Thin films of the metal glass Ti88Si12 were produced by evaporation and characterized by AFM and conductivity measurements. Thin Ti88Si12 support films for electron microscopy were prepared by coating standard EM grids with evaporated films floated off mica, and characterized by electron imaging and electron diffraction. At room temperature, the specific resistance of a thin TiSi film was 10(6) times lower than that of an amorphous carbon film. At 77K, the specific resistance of TiSi films decreased, whereas that of carbon became immeasurably high. The effective scattering cross-section of TiSi and amorphous carbon for 120 kV electrons is roughly equal, but TiSi films for routine use can be approximately 10 times thinner due to their high mechanical strength, so that they would contribute less background noise to the image. Electron diffraction of purple membrane on a TiSi substrate confirmed that the support film was amorphous, and indicated that the high-resolution order of the biological sample was preserved. Electron micrographs of TiSi films tilted by 45 degrees relative to the electron beam recorded at approximately 4 K indicated that the incidence of beam-induced movements was reduced by 50% compared to amorphous carbon film under the same conditions. The success rate of recording high-resolution images of purple membranes on TiSi films was close to 100%. We conclude that TiSi support films are ideal for high-resolution electron cryo-microscopy (cryo-EM) of biological specimens, as they reduce beam-induced movement significantly, due to their high electrical conductivity at low temperature and their favorable mechanical properties.     

Combining the Hanning windowed interpolated FFT in both directions

The interpolated fast Fourier transform (IFFT) has been proposed as a way to eliminate the picket fence effect (PFE) of the fast Fourier transform. The modulus based IFFT, cited in most relevant references, makes use of only the 1st and 2nd highest spectral lines. An approach using three principal spectral lines is proposed. This new approach combines both directions of the complex spectrum based IFFT with the Hanning window. The optimal weight to minimize the estimation variance is established on the first order Taylor series expansion of noise interference. A numerical simulation is carried out, and the results are compared with the Cramer-Rao bound. It is demonstrated that the proposed approach has a lower estimation variance than the two-spectral-line approach. The improvement depends on the extent of sampling deviating from the coherent condition, and the best is decreasing variance by 2/7. However, it is also shown that the estimation variance of the windowed IFFT with the Hanning is significantly higher than that of without windowing.     

考虑EV充放电意愿的园区综合能源系统双层优化调度

随着电动汽车的普及度越来越高,工业园区的电动汽车用户日益增多,其充放电行为对园区综合能源系统规划和运行带来极大挑战。本文提出了考虑电动汽车充放电意愿的园区综合能源系统双层优化调度。首先基于动态实时电价、电池荷电量、电池损耗补偿、额外参与激励等因素建立充放电意愿模型,在此基础上得到改进的电动汽车充放电模型;然后,以园区综合能源系统总成本最小和电动汽车充电费用最小为目标建立双层优化调度模型,通过KKT条件将内层模型转化为外层模型的约束条件,从而快速稳定的实现单层模型的求解;最后,进行仿真求解,设置3种不同场景,对比了所提模型与一般充放电意愿模型,验证了文中所提引入EV充放电意愿模型的园区综合能源系统双层优化调度的有效性和可行性,具有一定的经济效益。     

基于时空耦合特性的充电站运行状态预测

提出一种基于时空耦合特性和深度学习模型的充电站运行状态预测方法。首先,基于充电站历史运行数据和所在区域的交通通行速度数据集,利用k-means聚类方法将充电站划分为不同类型,分析充电站运行状态在时间上的特性;建立单个充电站的"偏移量-交通-时间"三维矩阵模型,深度挖掘充电站运行状态与周边交通状况在时间和空间上的耦合相关性。其次,将充电站状态与交通状况的时间滞后相关特性进行空间重构,利用卷积神经网络进行特征提取,通过长短期记忆网络进行时间序列预测,构建基于Keras深度学习框架的充电站运行状态多步预测模型。最后,以20个充电站的真实运行数据进行验证,并与多种预测算法进行对比,结果表明,所提方法具有较高的预测精度。     

Power supply to electric vehicle charging stations in India:Justification of a framework for a dynamic and adaptive electricity tariff policy

Given the steady growth in the use of electric vehicles in India, and the need to locate charging stations in various places to fulfill the corresponding demand, this paper focuses on an applicable Electricity Tariff Policy Framework in the context of power supply to Electric Vehicle Charging Stations(EVCSs). The framework is conceptualized by a theoretical foundation, an operational/functional foundation, and a transactional foundation. The theoretical foundation incorporates justice risk across the Energy Lifecycle stages by classifying the relevant international, regional, and national issues within the legal layers of Energy Law while examining the core ideas of the 'Energy Trilemma'. The paper identifies two basic dimensions, (a) the target sets of end-users, and (b) EVCSs settings and the applicable tariff schemes, as the foundation of the framework. The operational/functional foundation consists of techno-economic and social criteria, and the transactional foundation involves the consideration of different target sets of end-users. The proposed framework will benefit policymakers in general and those, especially in India. Adaptation and use of the framework in other countries should consider their basic economic, geographic and political structures.     

基于CNN和LSTM混合网络的电动汽车充电桩运行状态预测方法

随着电动汽车的大规模发展,公共充电桩运行数量和充电量逐年增长。然而,充电桩运行始终存在故障频发、运维难度大和维修成本高等问题,并且传统故障检测方法效率低下。因此提出了一种基于卷积神经网络(CNN)和长短期记忆(LSTM)网络的混合网络电动汽车充电桩运行状态预测方法,可以实现对电动汽车充电桩运行状况的综合评估。在特征数据输入阶段,对充电桩运行状态的关键指标进行分析,通过CNN提取运行状态影响因素的特征量,再利用LSTM判断和预测充电桩运行状态,从而实现对充电桩潜在故障的预警。试验结果表明,该方法预测准确率高、实用性强,能较准确地反映和预测充电桩的运作状态,可实际用于充电桩故障预测与运维检修。     

电动汽车无线充电系统通用要求重难点分析

本文分析了无线充电系统国家标准系列中存在的重难点,主要包括标准的适用范围以及互操作性要求,并且重点分析了互操作性要求的必要性和要求,对于后续国家标准的制修订具有一定的指导意义.     

关于推广现场混装炸药车技术的一些思考

我国是工业炸药的生产和使用大国,连续多年的产量都超过了400万t,同时工业炸药作为典型的危险物品,与公共安全息息相关,是社会治安管理的重点监管对象。工业炸药现场混装车技术彻底改变了传统商品炸药的生产、供营和使用模式,本质安全性高是其最突出的特点。大力推广应用现场混装车技术无论是对于提高工业炸药的安全生产管理水平,还是对于提升社会治安管理水平,都具有重要意义,因此受到国家法规政策的鼓励。分析了工业炸药现场混装技术的优势,尤其是对于公共安全的有利作用,研究了现行管理模式存在的弊端,提出为促进工业炸药现场混装技术在我国顺利推广,贯彻创新驱动发展战略,通过体制机制创新,建立由公安机关对工业炸药现场混装技术进行统一管理的更有利的监管模式。鼓励有条件的爆破公司购买和使用现场混装车,大幅度减少工业炸药固定生产点、库房和成品炸药运输等危险源。     

Effect of drag force modeling on the flow of electrostatically charged particles

In CFD simulations of two-phase flows, accurate drag force modeling is essential for predicting particle dynamics. However, a generally valid formulation is lacking, as all available drag force correlations have been established for specific flow situations. In particular, these correlations have not been evaluated for particle-laden flows subjected to electrostatic forces. The paper reports the effect of drag force modeling on the flow of electrically charged particles. To this end, we implemented different drag force correlations to the open-source CFD tool pafiX. Then, we performed highly-resolved Direct Numerical Simulations (DNS) using the Eulerian–Lagrangian approach of a particle-laden channel flow with the friction Reynolds number of 180. The simulations generally revealed a strong influence of the precise drag correlation on particles in the near-wall region and a minor effect on the particles far from the walls. Due to their turbophoretic drift, particles accumulate close to the channel walls. For uncharged particles, the simulations show large deviations of the particle concentration profile in the near-wall region depending on the drag force correlation. Therefore, the disturbance of the flow surrounding a particle by a nearby wall or other particles is important for its drag. Driven by electrostatic forces, charged particles accumulate even closer to the wall. Contrary to the uncharged cases, when the particles carry a high charge (in our case one femto-coulomb), we found minor effects of drag force modeling on particle concentration profiles. In conclusion, for the investigated conditions, we propose to account for the effect of nearby particles and walls on the drag of low- or uncharged particles.     

矿用直流不间断电源的设计

设计了一种煤矿井下交换机用直流不间断电源。该不间断电源采用MAX713电源管理芯片对镍镉电池进行智能充电;采用MSP430F147单片机作为微处理器,利用外部中断方式监测矿用交流电的工作状态,当发现矿用交流电不能正常供电时对电路进行切换,启动镍镉电池供电,从而保证交换机持续工作。测试结果表明,该不间断电源具有一定的实用性。