gbase: an efficient analysis platform for large graphs

Graphs appear in numerous applications including cyber security, the Internet, social networks, protein networks, recommendation systems, citation networks, and many more. Graphs with millions or even billions of nodes and edges are common-place. How to store such large graphs efficiently? What are the core operations/queries on those graph? How to answer the graph queries quickly? We propose Gbase, an efficient analysis platform for large graphs. The key novelties lie in (1) our storage and compression scheme for a parallel, distributed settings and (2) the carefully chosen graph operations and their efficient implementations. We designed and implemented an instance of Gbase using Mapreduce/Hadoop. Gbase provides a parallel indexing mechanism for graph operations that both saves storage space, as well as accelerates query responses. We run numerous experiments on real and synthetic graphs, spanning billions of nodes and edges, and we show that our proposed Gbase is indeed fast, scalable, and nimble, with significant savings in space and time.     

A deformable surface model for real-time water drop animation

A water drop behaves differently from a large water body because of its strong viscosity and surface tension under the small scale. Surface tension causes the motion of a water drop to be largely determined by its boundary surface. Meanwhile, viscosity makes the interior of a water drop less relevant to its motion, as the smooth velocity field can be well approximated by an interpolation of the velocity on the boundary. Consequently, we propose a fast deformable surface model to realistically animate water drops and their flowing behaviors on solid surfaces. Our system efficiently simulates water drop motions in a Lagrangian fashion, by reducing 3D fluid dynamics over the whole liquid volume to a deformable surface model. In each time step, the model uses an implicit mean curvature flow operator to produce surface tension effects, a contact angle operator to change droplet shapes on solid surfaces, and a set of mesh connectivity updates to handle topological changes and improve mesh quality over time. Our numerical experiments demonstrate a variety of physically plausible water drop phenomena at a real-time rate, including capillary waves when water drops collide, pinch-off of water jets, and droplets flowing over solid materials. The whole system performs orders-of-magnitude faster than existing simulation approaches that generate comparable water drop effects.     

SINS大失准角初始对准的改进算法研究

在捷联导航系统优化控制的研究中,捷联惯导系统(SINS)初始对准的误差方程存在是非线性,对于静基座初始对准造成误差较大。传统采用的方法是将失准角视为小角度,可将误差模型线性化,利用KF完成静基座的初始对准。但是对于动基座大失准角来说,多采用非线性滤波方式来解决,建立误差模型,并采用UKF滤波进行数据融合。由于非线性模型的噪声参数未知等原因,常规的UKF可能会出现滤波发散现象,为解决上述问题,提出采用自适应方法的UKF来对建立的非线性模型进行滤波。仿真结果表明,在大失准角情况下,采用非线性模型的AUKF比UKF滤波具有更好的对准精度和更快的收敛速度,可为优化设计提供参考。     

四旋翼无人机的系统模型与辨识

研究无人机系统优化控制问题,为实现四旋翼微型飞行器的自动控制飞行,需要得到正确的系统模型参数,实现精确控制。子空间辨识法可以直接地反应出多输出多输出系统模型,算法比较容易实现。首先从四旋翼的力学模型出发,建立了在小角度假设下的线性系统模型,并首次将子空间辨识方法运用到四旋翼飞行器的辨识中。用仿真实例实验,假设飞行器在缓慢上升过程,采用由子空间辨识方法获得的系统模型输出与原系统在同样输入条件下的输出进行了比较。结果表明在假设条件下的辨识具有可行性,为中旋翼无人机优化控制提供了依据。     

B/S结构的360度绩效测评系统设计与实现

绩效管理是人力资源管理的核心,对企业实现战略目标有举足轻重的作用,绩效测评是绩效管理中必不可少的组成部分。本文讲述了一种全面客观的360度绩效测评法,并介绍了一套按照360度绩效测评模型构建的B/S办公系统,重点介绍了使用这套系统进行绩效测评的过程,以便通过信息化手段,有效的运用这一先进测评方法,为企业管理提供有益的支持。     

Decomposition of solid explosives by laser irradiation: A mass spectrometric study

Experimental investigations have been made in which single crystals of solid explosives such as cyclotrimethylene trinitramine, RDX, pentaerythritol tetranitrate, PETN, AgN₃ and Pb(N₃)₂, were irradiated with a focused laser beam of wavelength 266 nm and duration 5 nsec in an ultra high vacuum system housing a fast and sensitive time-of-flight mass spectrometer. From the mass spectra (both +ve and -ve ions) of the chemical species obtained, possible decomposition schemes of RDX and PETN have been proposed. For silver and lead azides, the laser irradiation did not cause explosions if the power density was sufficiently low, but micrometre size craters were formed. In the mass spectra of AgN₃ products N₃ ^– and silver cluster ions, Ag _n ⁺, have been found for the first time. It has been suggested that such investigations may possibly throw some light on our understanding of the reactions taking place in a deflagration/detonation wave.     

用正电子湮没寿命技术研究塑性变形纯Ni的回复过程

本文用正电子湮没寿命方法研究了塑性变形镍(含0.01％杂质)的回复过程的特点及杂质在缺陷回复过程的作用和影响,计算了形变为10％的试样中的位错密度及形成空位团的有效空位浓度。     

铸造Al-5Cu合金准固态断裂行为的研究

采用SEM观察手段并结合EDX分析 ,在合金的准固态区 ,通过观察Al 5Cu Mn合金准固态拉伸和热裂应力测试试样的断口形貌 ,研究了Ti、Ce等合金元素及其交互作用对Al 5Cu Mn合金准固态断裂行为的影响及其影响机理。通过对试验合金准固态力学性能的测试和大量SEM断口的观察分析研究 ,结果表明 ,Al 5Cu Mn中添加Ti元素可明显提高合金抗热裂能力 ,主要是由于其良好的细化晶粒效果 ;适量Ce元素的加入 ,不仅可细化晶粒 ,而且其在晶间富集形成的化合物还可有效改善低熔点共晶反应在准固态区的力学行为 ,对减小热裂倾向非常有利 ;Ti和Ce的综合作用对合金抗热裂水平的提高比单一元素更有效 ;热裂的产生首先表现为枝晶枝臂的屈服 ,其后的扩展则表现为脆性断裂占优的穿晶、沿晶混合型特征     

砷、氟污染地下水净化技术进展

砷、氟污染水体及其共存问题是环境领域的热点问题,长期暴露其中对公众的身体健康存在巨大威胁.文章梳理了砷、氟污染物的来源,及砷、氟污染水体的分布与危害,并按吸附、离子交换、反渗透、电絮凝、膜法等分析了用于砷、氟处理的各类技术手段的利弊,以期为后续水体中砷、氟污染物的高效去除提供参考.     

基于注意力机制和卷积神经网络的异步电动机三相电压不平衡损耗研究

配电网中三相电压不平衡对异步电动机损耗会造成较大影响。运用等效电路公式分析三相电压不平衡影响下电动机损耗存在精度不稳定、需要参数过多且数学模型过于复杂等问题。针对以上问题,提出一种基于注意力机制和卷积神经网络(CNN)的异步电动机损耗评估方法。该方法将实测电机数据作为输入,引入注意力机制为输入特征赋予不同权重;采用卷积层和全连接层组成的CNN构架对异步电动机实测数据进行学习,最后完成损耗评估。以现场试验得到的电机损耗数据作为实际算例,该方法评估损耗与实测损耗平均误差仅为0.717%和0.549%,并与其他典型机器学习算法进行对比,结果表明所提方法具有更好的损耗评估性能。