Enhance Information Flow Tracking with Function Recognition

With the spread use of the computers, a new crime space and method are presented for criminals. Thus computer evidence plays a key part in criminal cases. Traditional computer evidence searches require that the computer specialists know what is stored in the given computer. Binary-based information flow tracking which concerns the changes of control flow is an effective way to analyze the behavior of a program. The existing systems ignore the modifications of the data flow, which may be also a malicious behavior. Thus the function recognition is introduced to improve the information flow tracking. Function recognition is a helpful technique recognizing the function body from the software binary to analyze the binary code. And that no false positive and no false negative in our experiments strongly proves that our approach is effective.

Transient fluid flow in the Binbei district of the Songliao Basin, China Evidence from apatite fission track thermochronology

The Songliao Basin is famous for the Daqing Oilfield, the biggest in China. However, no economic hydrocarbon reservoir has been found in the northeastern Binbei district. Its thermal history, which is of great importance for hydrocarbon generation and migration, is studied with apatite fission track （AFT） thermochronology. Samples with depositional ages of the late Cretaceous （-108-73 Ma） are analyzed. The AFT ages of the samples from reservoir rock （depositional age 〉 76.1 Ma） fall between the late Cretaceous （724-5 Ma） and the early Eocene （414-3 Ma） period, indicating their total annealing after deposition. In contrast, two samples from the main seals of the Qingshankou （depositional age 〉 89.3 Ma） and the Nenjiang Formation （depositional age 〉 73.0 Ma） are not annealed or partially annealed （AFT ages of 974-9 Ma and 704-4 Ma, respectively）. Because the maximum burial temperature （〈90 ℃） evidenced by low vitrinite reflectance （Ro〈0.7） is not high enough to account for the AFT total annealing （110-120 ℃）, the transient thermal effect arising from the syntectonic fluid flow between the late Cretaceous and the early Eocene is proposed. Transient thermal effects from fluid flow explains the indicated temperature discrepancies between the AFT thermometer and the Ro thermometer because the transient thermal effect from the fluid flow with a temperature high enough （110-120 ℃） to anneal the AFT thermometer does not last long enough （104-105 yrs.） for an enhancement of the Ro （minimum 106- 107 yrs. under the same temperature）. This indicates that dating thermal effect from fluid flow might be a new means to reconstruct the tectonic history. It also answers why the samples from the main seals are not annealed because the seals will prohibit fluid flow and supply good thermal insulation. The large-scale fluid flow in the Binbei district calls for a new idea to direct the hydrocarbon exploration.

A novel particle tracking velocimetry method for complex granular flow field

Particle tracking velocimetry(PTV)is one of the most commonly applied granular flow velocity measurement methods.However,traditional PTV methods may have issues such as high mismatching rates and a narrow measurement range when measuring granular flows with large bulk density and high-speed contrast.In this study,a novel PTV method is introduced to solve these problems using an optical flow matching algorithm with two further processing steps.The first step involves displacement correction,which is used to solve the mismatching problem in the case of high stacking density.The other step is trajectory splicing,which is used to solve the problem of a measurement range reduction in the case of high-speed contrast The hopper flow experimental results demonstrate superior performance of this proposed method in controlling the number of mismatched particles and better measuring efficiency in comparison with the traditional PTV method.

A GHOST FLUID BASED FRONT TRACKING METHOD FOR MULTIMEDIUM COMPRESSIBLE FLOWS

Recent years the modify ghost fluid method （MGFM） and the real ghost fluid method （RGFM） based on Riemann problem have been developed for multimedium compressible flows. According to authors, these methods have only been used with the level set technique to track the interface. In this paper, we combine the MCFM and the RGFM respectively with front tracking method, for which the fluid interfaces are explicitly tracked by connected points. The method is tested with some one-dimensional problems, and its applicability is also studied. Furthermore, in order to capture the interface more accurately, especially for strong shock impacting on interface, a shock monitor is proposed to determine the initial states of the Riemann problem. The present method is applied to various one- dimensional problems involving strong shock-interface interaction. An extension of the present method to two dimension is also introduced and preliminary results are given.

Three-dimensional multi-relaxation-time lattice Boltzmann front-tracking method for two-phase flow

We developed a three-dimensional multi-relaxation-time lattice Boltzmann method for incompressible and immiscible two-phase flow by coupling with a front-tracking technique. The flow field was simulated by using an Eulerian grid, an adaptive unstructured triangular Lagrangian grid was applied to track explicitly the motion of the two-fluid interface, and an indicator function was introduced to update accurately the fluid properties. The surface tension was computed directly on a triangular Lagrangian grid, and then the surface tension was distributed to the background Eulerian grid. Three benchmarks of two-phase flow, including the Laplace law for a stationary drop, the oscillation of a three-dimensional ellipsoidal drop, and the drop deformation in a shear flow, were simulated to validate the present model.

考虑碳排放分摊的综合能源服务商交易策略

为寻求在满足用户用能需求的同时降低系统碳排放的有效途径,提出了一种考虑碳排放分摊的多综合能源服务商能源交易策略。基于网络流模型实现碳流追踪并联合Shapley理论建立了综合能源服务商碳排放成本计算模型。应用Nash议价理论构建了多综合能源服务商合作博弈运行模型,将综合能源服务商碳排放成本引入优化目标函数,并利用分布式算法求解最优能源交易量和交易费用。基于由修改的IEEE 39节点电网和12节点气网构成的多综合能源服务商系统进行仿真分析,验证了所提模型和方法的有效性。

基于视频的振动测量技术研究进展

振动测量是保障结构安全和良好状态的基本手段。高精度的振动测量可为结构设计、安装调试、健康管理等振动试验提供精确的输入与响应测试。相较于传统的振动测量手段,基于视频的振动测量技术将相机的全部像素转化为高精度振动传感器,利用视频图像方式让人们肉眼可视结构在物理世界的真实振动形态,具有非接触、全视场、高空间分辨率、灵活方便等优点,近年来受到业界的广泛关注。该文主要介绍了视频振动测量技术的系统构成与测量过程、当前主要方法和相关技术最新进展,并总结了视频振动测量技术与其他技术相比存在的优势。通过分析与对比,肯定了视频方法是解决振动测量问题的有效手段和对传统测量方法的有力补充,随着相关技术和硬件设备的发展,视频振动测量方法将具有越来越大的研究意义和应用价值。

Multi-relaxation-time lattice Boltzmann front tracking method for two-phase flow with surface tension

In this paper, an improved incompressible multi-relaxation-time lattice Boltzmann-front tracking approach is proposed to simulate two-phase flow with a sharp interface, where the surface tension is implemented. The lattice Boltzmann method is used to simulate the incompressible flow with a stationary Eulerian grid, an additional moving Lagrangian grid is adopted to track explicitly the motion of the interface, and an indicator function is introduced to update the fluid properties accurately. The interface is represented by using a four-order Lagrange polynomial through fitting a set of discrete marker points, and then the surface tension is directly computed by using the normal vector and curvature of the interface. Two benchmark problems, including Laplace＇s law for a stationary bubble and the dispersion relation of the capillary wave between two fluids are conducted for validation. Excellent agreement is obtained between the numerical simulations and the theoretical results in the two cases.

农田灌溉光伏水泵系统性能测试分析

【目的】探究农田灌溉光伏水泵系统综合用能需求特性,提高该系统性能可靠性和实用性。【方法】基于高效水泵和研发的逆变器,构建了农田灌溉光伏水泵系统,结合系统装置构成与运行特点,对不同扬程运行工况下的电性能参数和扬水效率特性及水泵流量与功率特性等进行测试分析。【结果】在一定太阳辐射强度范围内,调速运行的水泵流量与输出频率有较好一致性;稳定运行时段的水泵流量可达到2 m^(3)·h^(-1);定扬程24.8 m下,系统最大扬水效率达12.7%,日平均扬水效率11.6%,日扬水量13.1 m^(3);当扬程降低到14.0 m时,最大扬水效率和日平均效率分别比前者低3.2%和3.6%,表明减低扬程并不一定能提高系统扬水效率,但对输出流量有影响。【结论】该农田灌溉光伏水泵系统配置稳态和动态性能良好,扬水能力可满足省水微灌和植被绿化等基本农业生产需要。

64排螺旋CT头颈部血管成像图像质量优化的应用研究

目的 探讨小剂量团注测试技术结合双流注射技术在64排螺旋CT头颈部血管成像(CTA)中的应用价值。方法 选取2019年5月至2023年6月来我院检查的120例头颈部CTA成像患者,随机分为A、B组,每组各60例。A组采用对比剂团注追踪技术,B组采用小剂量团注测试技术联合双流注射技术,两组分别进行头颈部CTA成像,对两组图像质量进行主观、客观评分,并对两组对比剂使用情况进行比较。结果 两组图像大部分都能满足诊断,头颈部较大血管能清楚显示,但B组脑血管边缘分支显示更清楚,脑静脉污染较少,因此两组图像质量主观评分B组高于A组(P<0.05)。两组图像主动脉弓、左颈总动脉分叉部、左颈内动脉虹吸部、左大脑中动脉M1段、左大脑后动脉P1段、左椎动脉起始部的CT值比较,差异无统计学意义(P>0.05);两组图像客观评分,主动脉弓、左颈总动脉分叉处及左大脑中动脉M1段的图像噪声、信噪比(SNR)、对比信噪比(CNR)比较,差异无统计学意义(P>0.05);两组对比剂使用量比较,B组低于A组(P<0.05)。结论 64排螺旋CT头颈部血管成像采用小剂量团注测试技术联合双流注射技术较常规对比剂团注追踪技术更能获得稳定、优良的图像质量,同时对比剂用量显著减少,具有临床推广价值。

基于YOLO模型的车流量实时采集系统研究

对于一座现代化城市来说,合理的交通规划是一个城市高效运行的关键,作为交通规划的关键信息的城市车流量信息,原本需要人工进行识别、获取、验证的提取方式,随着计算机视觉技术的蓬勃发展弊端尽显,终将退出历史的舞台。为了提高城市车流量信息的准确性和及时性,利用现有的计算机技术设计一种基于YOLO模型的车流量实时采集系统。该系统基于YOLO视觉检测模型,采用DeepSORT算法对检测到的目标车辆进行跟踪识别、判断车辆的运行状态、实现当前路段的车流量统计、对已记录车流量信息进行可视化展示以及数据输出等。该系统可以有效地代替传统消耗人力的死板工作,实现自动化数据收集以及道路交通情况的快速监测。该系统操作简单,交互性强,为城市的交通管理和交通规划提供准确实时的信息数据。

不锈钢激光选区熔化单道成形表面介观模拟与实验验证

目的为了获得不锈钢激光选区熔化单道成形质量好的加工参数,提高成形质量。方法对于316L不锈钢材料的激光选区熔化(SLM)成形,采用离散元方法(DEM)构建颗粒随机分布的三维介观模型,采用流体体积法(VOF)动态追踪SLM成形过程熔池传热、流动和凝固等行为,该模拟考虑相变潜热、热物性参数随温度非线性变化、Marangoni效应,研究了温度梯度引起的表面张力和蒸汽反冲力等现象对熔池液态金属流动和凝固的影响,并对不同激光参数和扫描速度对熔池温度场和内部流动的影响规律进行了分析。结果当激光功率为150 W、扫描速度为400 mm/s时,激光能使不锈钢粉末充分熔化,凝固后的轨迹形貌连续光滑。通过提高激光扫描速度和降低激光功率使得热输入减小,熔道表面成形出现球化等缺陷。结论通过单道成形实验观察和分析熔池与熔道的三维尺寸与形貌,有效验证了数值模拟的正确性,较好地预测出SLM过程中的缺陷种类,为深入理解SLM过程中的复杂物理现象和优化工艺参数提供了参考。

基于变风量控制的受控环境压差控制应用研究

压差控制是受控环境气流控制的核心部分,能为实现定向气流的控制目标和提升实验室整体安全性提供有力保障。基于围护结构气密性特征、压力梯度控制需求、快速扰动源等因素,以普通实验室、普通洁净室和气密性生物安全实验室为例,对变风量下的余风量控制、直接压差控制、串级控制3种压差控制方式的适用性、影响因素及应对策略进行了研究,并对空气渗透特性方程的适用性进行了探讨。研究表明:普通实验室和普通洁净室的围护结构孔口和缝隙处空气流动接近于湍流状态,流动指数n可取0.5;气密性实验室的围护结构缝隙长度和水力直径的比值较大,层流占主导地位,流动指数n取值趋近于1.0。

基于网络流跟踪的信号灯检测方法

结合信号灯信息对机动车行进速度进行引导,减少机动车启停次数,可有效减少废气排放,缓解其造成的污染问题。针对信号灯转换时刻的获取问题,提出了一种基于网络流跟踪的信号灯检测方法。首先,该方法在数据集中引入辅助信号灯类别进行训练,将视频序列中该类目标检测结果关联为踪片,并通过踪片建模多目标跟踪任务。其次,该方法将多目标跟踪任务转换为最小费用流优化任务,以踪片作为节点建立最小费用流网络,提出了适合于信号灯的费用构建方式,通过最短路径算法求解,得到视频序列中辅助信号灯的多条轨迹。最后,基于求解的轨迹结果和图像分类技术,实现信号灯检测性能的提升。该方法的跟踪性能相较于对比算法有大幅提升,并将小目标信号灯检测响应的mAP提升至94.35%。实验结果表明,基于网络流的建模方式能极大地提升信号灯的跟踪准确率,结合跟踪轨迹还能大幅提高视频序列中小目标信号灯的检测准确率,并可有效确定信号灯状态的转换时刻。

基于潮流-灵敏度复合分析的线路过载紧急控制策略

针对由线路故障引起的支路过载问题,提出基于潮流-灵敏度复合分析的线路过载紧急控制策略。该策略运用潮流跟踪算法计算发电机和负荷对每条线路的占用率及发电机对负荷的供给率,运用灵敏度分析方法确定控制节点的功率调整大小与方向,在保证调整设备数尽量少以及不造成其他支路过载的情况下,按照比例采取切机、切负荷措施,快速消除过载线路,防止连锁故障的发生.以IEEE39节点系统为例,对所提出的控制策略进行验证。算例分析结果证明,该控制策略具有可行性和有效性。

履齿结构对深海沉积物扰动分析

为探究集矿车在行进过程中履带运动对深海沉积物的扰动机理,并建立适用于机械结构与沉积物作用的仿真模型,结合水槽实验和模拟分析,设定对照试验,研究机械结构运动对沉积物的扰动作用和羽状流扩散现象。实验与仿真结果表明:偏置一字形履齿低扰动性能较好,扰动最大速度在1.5 m/s以下;扰动源的下陷深度和转速对水槽中的浊度变化有显著影响,浊度计最大和最小测量值为4 381.3 mg/L和3 073.3 mg/L,相差29.9%,峰值时间相差超过50%。搭建欧拉多相流模型,设定参数和边界条件,仿真与试验结果接近,可用于后续开展小范围内的机械扰动研究。

地面对双轨超声速火箭橇的气动特性影响研究

地面对动态滑行状态下双轨火箭橇的气动特性有较大影响。本文采用尺度自适应(SAS)方法和动网格方法结合的策略对Ma 2的双轨火箭橇进行数值模拟,研究了地面导致的流场变化、气动力及其时域和频域特性。结果表明,激波和压缩波在地面设施的反射会导致双轨火箭橇下表面出现6处额外的高压区,其中4处的形状和强度会随反射位置发生变化;地面导致升力时均值提升了9.6倍;气动力呈现明显的同频周期性振荡,升力振荡幅值为时均值的28.6%,阻力振荡较小。为双轨火箭橇的减阻减振工作提供参考依据。

基于潮流追踪的用户碳排放水平计算与评估方法

新型电力系统用户侧泛在资源分布零散、数量多、容量小以及随机性大的特点,给用户侧精细化碳排放计算造成了困难。为了准确衡量与评估电力系统中用户碳排放水平,首先通过潮流追踪方法分析了电力系统各节点潮流的来源,确定了各节点的间接碳排放责任;然后依照比例共享原则结合不同来源的碳排放强度得到了电力系统碳流分布情况;最后通过提出的负荷侧各项电力碳排放指标,评估了不同节点的清洁程度从而引导用户更多地使用清洁能源以降低自身碳排放。并采用实际电力系统数据进行算例验证,验证了所提方法的合理性与可用性。

2019年2月北京地区3次回流降雪过程的水汽输送特征分析

为提高北京地区回流降雪预报的准确率,利用ERA5/GDAS全球格点再分析资料和HYSPLIT轨迹追踪模式,对2019年2月发生在北京地区的3次回流降雪过程进行天气学分析和水汽输送特征分析。结果表明,在3次回流降雪个例中,偏东气流中的水汽含量有限,当出现偏南水汽通道的配合时,可产生明显的降雪。在典型回流形势(2月14日)下,高后回流与河套倒槽配合,回流水汽输送通道更为深厚,利于降雪;在非典型回流形势(2月6日和12日)下,回流水汽输送集中于大气的低层(850 hPa以下)。2月12日南支气流水汽输送贡献较大,对南支气流水汽输送的忽视是导致2月12日降雪漏报的原因之一。3次回流降雪个例在偏东和偏南路径上水汽输送至北京地区的时间与白天显著降雪的时段基本上对应,可作为预报回流降雪的关键因子。

融合黎曼流量子学习ChOA算法的三维航迹规划

针对传统方法的不足,提出一种融合黎曼流量子学习黑猩猩优化算法的三维航迹规划方法。为提高黑猩猩算法的寻优精度,引入非线性收敛因子均衡算法全局搜索与局部开发,设计自适应惯性权重提升算法全局搜索能力,融入黎曼流量子学习提高种群活跃度,避免生成局部最优解。建立三维航迹规划的约束模型和多目标代价函数,将航迹规划转化为多维函数优化问题,利用改进黑猩猩算法进行求解。实验结果表明,改进算法搜索精度更高,规划航迹能够规避所有威胁,具有更小的航迹代价。