基于有限体积法的G4-73型离心风机三维流场数值模拟

基于有限体积法,利用Fluent软件对G4-73型离心风机内部流场进行了全三维数值模拟。结果表明:蜗壳内的低能流体区沿轴向朝流动方向推进;叶轮内的静压和动压在叶片吸力面靠近叶轮进口处最低,叶轮流道中动压等值线呈"凸"型分布,在叶片压力面靠近叶轮出口处静压和动压达到最大值,且叶轮出口相对总压损失集中在吸力面和前盘侧。     

基于倒排列表的网流索引检索与压缩方法

随着计算机的广泛应用以及互联网的飞速发展,互联网流量呈现爆炸式增长的态势。为了应对日益严重的网络滥用以及网络安全事件,出于安全取证的需要,必须对互联网流量进行收集、存储和分析。互联网流量的监控需要及时统计网络流量的源地址、目的地址、源端口、目的端口、协议、时间戳等信息,以便进行流量统计和综合分析。但是网络流量信息是海量的,如何快速检索相关流量是一个挑战性问题。在搜索引擎中,为了处理海量数据检索,倒排索引是快速搜索技术的关键方法。文章把搜索引擎中的倒排索引方法和索引压缩算法应用到互联网网流信息检索中。通过实验测试和验证,在网流信息检索中,倒排索引以及索引压缩算法能够有效提高检索速度。     

一种应用于隔爆试验装置中的新型自动配气系统

针对应用于隔爆试验装置中的传统配气方法存在配气速度慢、系统体积较大的问题,设计了一种基于质量流量法的自动配气系统。该系统采用质量流量控制器精确控制多种不同气体的流量,输出的多种气体经混合装置均匀混合后,由O2分析仪和H2分析仪实时监测混合气体的体积分数。测试结果表明,该配气系统配气速度快、结构简单,配制的多种气体体积分数精度能满足GB 3836.2—2010的要求。     

矿用大容量磷酸铁锂电池管理系统设计

为了保证矿用磷酸铁锂电池的安全性,结合煤矿工业实际需求,设计了8节单体60A·h磷酸铁锂电池串联、24V额定电压输出的矿用电池管理系统。该系统将微处理器配合集成芯片LTC6803组成电池保护模块,利用安时法估算电池组电量,采用电阻分流型均衡技术改善电池组性能。现场应用结果表明,该系统运行稳定可靠,保证了矿用磷酸铁锂电池的安全高效性。     

基于视觉辅助的汽车转向路感优化控制仿真

汽车行驶速度过快的情况下,与路面的冲击反力会瞬间增大.路感控制过程需要迅速改变硬件结构参数以保持稳定,过大变化使得控制过程出现异动,导致汽车转向路感系统出现“打手”(过控制)问题,传统的路感系统控制方法针对过控制问题,需要动态变化控制参数,使其与过控制过程形成匹配,但是传统方法很容易引起模型不稳,导致对汽车转向路感系统的控制误差增大.提出视觉辅助的汽车转向路感系统快速控制方法,采用Harris角点控制算法获取监控视频中每幅汽车转向路感图像中的角点位置,对每帧汽车转向图像的角点进行LK光流场运算,依据运动目标的光流连续性获取可能的目标角点信息,通过聚类分析对若干角点位置集进行数字运动汽车转向图像处理中的形态学处理,得到汽车当前所处的实际位置,实现汽车转向路感系统的快速控制.实验结果证明,改进种方法的可行性,并且具有较高的控制精度.     

Transitions from solid to liquid in isotactic polystyrene studied by thermal analysis and X-ray scattering

A three-phase model, comprising mobile amorphous fraction (MAF), rigid amorphous fraction (RAF) and crystalline fraction (C), has been applied to interpret the thermal transitions and structure of cold-crystallized isotactic polystyrene (iPS) from below the glass transition temperature, T_g, to above the melting point. Quenched amorphous iPS films were isothermally crystallized at different temperatures for 12 h. The fraction of crystalline phase, ?_c, was measured by differential scanning calorimetry (DSC), wide angle X-ray scattering and Fourier Transform infrared spectroscopy. The fraction of the mobile amorphous phase, ?_MAF, was obtained from the heat capacity increment at the glass transition temperature. In the three-phase model, the fraction of the rigid amorphous phase, ?_RAF, was found from 1−?_MAF−?_c. Specific heat capacity measurements by standard DSC confirm that the experimental baseline heat capacity conforms to a three-phase model for temperatures ranging from below T_g, up to the relaxation of RAF. The relaxation of RAF appears as a sigmoidal change in heat capacity accompanied by excess enthalpy, in which solid-like RAF is converted to an identical amount of liquid-like MAF.At temperatures above the relaxation of RAF, either one or two major crystal melting endotherms are observed in standard DSC, dependent upon crystallization temperature. However, using quasi-isothermal temperature modulated DSC, we always observed two reversing melting endotherms. The effects of annealing on iPS structure during the quasi-isothermal measurement were assessed using small angle X-ray scattering (SAXS). Combining the DSC and SAXS results, a model for the melting of iPS lamellae at low heating rates is presented.     

Variational PCA fusion for resolution Pan-sharpening very high imagery

The Pan-sharpening approach based on principle component analysis （PCA） is affected by severe spectral distortion. To address this problem, a new pan-sharpening model based on PCA and variational technique is proposed to construct the substitute image of the first principal component （PC1）. The energy functional consists of three terms. The first term injects PC1 with the geometric structure of the panchromatic （Pan） image. The second term preserves the spectral pattern of the multi-spectral image in the merged result. And the third term guarantees the smoothness of the functional optimization solution. The fusion result is given by the minimum of the energy functional, which is computed with the gradient descend flow. The experiments on QuickBird and IKONOS datasets validate the effectiveness of the proposed model. Compared with the state- of-the-art pan-sharpening approaches, this model exhibits a better trade-off between improving spatial quality and preserving spectral signature of the MS image.     

基于高精度流线生成的交互流场可视化

高效准确的流线绘制一直是流场可视化的重要研究内容,流线可以对流场的重要特征进行有效的稀疏表示,但流线需要长期的粒子追踪过程及大量的积分计算,在面向大规模流场可视化时时间效率较低,需要高性能计算设备进行辅助计算.本文通过设计一种基于深度学习的高精度流线生成算法,将初始的低精度流线快速映射为稠密的高精度流线,可以在较短的时间内快速生成可靠的流线可视化结果,并在此基础上设计了交互式实时流场可视化系统,涵盖了流场的特征检测,属性关联分析,信息论分析等,帮助用户快速了解流场数据,找到自己感兴趣的区域进行后续进一步深度分析,避免了获取过多冗余数据,同时优化了分析工作的效率,满足用户对于流场结构,特征属性等多维度进行关联分析的需求.     

A real-time vehicle detection and a novel vehicle tracking systems for estimating and monitoring traffic flow on highways

Real-time highway traffic monitoring systems play a vital role in road traffic management, planning, and preventing frequent traffic jams, traffic rule violations, and fatal road accidents. These systems rely entirely on online traffic flow info estimated from time-dependent vehicle trajectories. Vehicle trajectories are extracted from vehicle detection and tracking data obtained by processing road-side camera images. General-purpose object detectors including Yolo, SSD, EfficientNet have been utilized extensively for real-time object detection task, but, in principle, Yolo is preferred because it provides a high frame per second (FPS) performance and robust object localization functionality. However, this algorithm’s average vehicle classification accuracy is below 57%, which is insufficient for traffic flow monitoring. This study proposes improving the vehicle classification accuracy of Yolo, and developing a novel bounding box (Bbox)-based vehicle tracking algorithm. For this purpose, a new vehicle dataset is prepared by annotating 7216 images with 123831 object patterns collected from highway videos. Nine machine learning-based classifiers and a CNN-based classifier were selected. Next, the classifiers were trained via the dataset. One out of ten classifiers with the highest accuracy was selected to combine to Yolo. This way, the classification accuracy of the Yolo-based vehicle detector was increased from 57% to 95.45%. Vehicle detector 1 (Yolo) and vehicle detector 2 (Yolo + best classifier), and the Kalman filter-based tracking as vehicle tracker 1 and the Bbox-based tracking as vehicle tracker 2 were applied to the categorical/total vehicle counting tasks on 4 highway videos. The vehicle counting results show that the vehicle counting accuracy of the developed approach (vehicle detector 2 + vehicle tracker 2) was improved by 13.25% and this method performed better than the other 3 vehicle counting systems implemented in this study.     

基于国产处理器增量式实时交通流预测算法及实现

针对城市交通难以处理大量数据且实时性差等问题,提出了根据增量式城市交通流数据预测拥堵情况的一种基于国产处理器的L-BFGS(limited-memory BFGS)算法。该算法通过存储向量序列计算Hessian矩阵,改进Two-Loop算法求下降方向,在Spark集群中并行处理时收敛速度快,适用于实时性要求强的城市交通场景。实验结果证明,L-BFGS预测算法完全可以在国产平台上对大规模的实时交通数据流进行快速建模、预测,在改善城市交通管理水平提供有效支撑的同时也丰富了国产芯片的应用领域。