农药安全性的模糊综合评价

建立了评价农药安全性的的指标体系,给出了指标的权重及各指标对安全性的隶属函数,建立农药安全性的模糊综合评价模型,用所给模型评价了多种农药的安全性。     

高速列车模拟器的视景建模与仿真

高速列车模拟器是培训高速列车司机的先进工具。本文介绍了高速列车模拟器中视景仿真系统的开发,对视景仿真系统构成,视景仿真软件的开发,场景模型的建立进行了研究,并给出了适合于沿铁路轨道进行视点计算的数据结构。     

Multi-dimensional scattering properties diagnosis system of scale aircraft model in an anechoic chamber

Aiming at the concept of ＂diagnosis＂, a simple and effective broadband radar cross section （RCS） measurement system is constructed, and some multi-dimensional scattering properties diagnosis techniques are presented based on the system. Firstly, a stepped-frequency signal is employed to achieve high range resolution, combining with a variety of signal processing tech- niques. Secondly, cross-range resolution is gained with a rotating table, and the high-resolution two-dimensional （2-D） imaging of the scale model is obtained by the microwave imaging theory. Finally, two receiving antennas with a small distance in altitude are used, and the three-dimensional （3-D） height distribution of scattering points on the scale model is extracted from the phase of images. Some typical bodies and a scale aircraft model are diagnosed in an anechoic chamber. The experimental results show that, after scaling with a metal sphere, the accurate one- dimensional （l-D） RCS pattern of the model is obtained, and it has a large dynamic range. When the bandwidth of the transmitting signal is 4 GHz, the resolution of the 2-D image can reach to 0.037 5 m. The 3-D height distribution of scattering points is given by interferometric measurement. This paper provides a feasible way to obtain high-precision scattering properties parameters of the scale aircraft model in a conventional rectangular anechoic chamber.     

Image separation using wavelet-complex shearlet dictionary

This paper presents a new method for image separation through employing a combined dictionary consisting of wavelets and complex shearlets. Because the combined dictionary sparsely represents points and curvilinear singularities respectively, the image can be decomposed into pointlike and curvelike parts as accurate as possible. The proposed method based on the geo- metric separation theory introduced by Donoho in 2005 shows that accurate geometric separation of the morphologically distinct fea- tures of points and curves can be achieved by l1 minimization. The experimental results show that the proposed method can not only be effective but also greatly reduce the computing time.     

Group consensus for multiple networked Euler-Lagrange systems with parametric uncertainties

In this paper,a group consensus problem is investigated for multiple networked agents with parametric uncertainties where all the agents are governed by the Euler-Lagrange system with uncertain parameters.In the group consensus problem,the agents asymptotically reach several different states rather than one consistent state.A novel group consensus protocol and a time-varying estimator of the uncertain parameters are proposed for each agent in order to solve the couple-group consensus problem.It is shown that the group consensus is reachable even when the system contains the uncertain parameters.Furthermore,the multi-group consensus is discussed as an extension of the couple-group consensus,and then the group consensus with switching topology is considered.Simulation results are finally provided to validate the effectiveness of the theoretical analysis.     

Empirical likelihood inference for logistic equation with random perturbation

Empirical likelihood (EL) combined with estimating equations (EE) provides a modern semi-parametric alternative to classical estimation techniques such as maximum likelihood estimation (MLE). This paper not only uses closed form of conditional expectation and conditional variance of Logistic equation with random perturbation to perform maximum empirical likelihood estimation (MELE) for the model parameters, but also proposes an empirical likelihood ratio statistic (ELRS) for hypotheses concerning the interesting parameter. Monte Carlo simulation results show that MELE and ELRS provide competitive performance to parametric alternatives.     

一种基于通用DSP的快速余弦变换算法

在对传统快速DCT算法进行分析的基础上 ,充分考虑到通用DSP乘加速度相同等指令特点 ,并且结合DCT变换的性质 ,同时还考虑了对于通用DSP实现相当重要的存取操作的因素 ,提出了一种新的基于通用DSP的快速余弦变换 (FDCT)算法 ,以使总操作数最少。与传统快速DCT相比 ,速度有了明显的提高 ,并且易于实现。给出了该算法在数码相机中的实现结果     

Isogeometric Analysis-Based Topological Optimization for Heterogeneous Parametric Porous Structures

Porous structures widely exist in nature and artifacts, which can be exploited to reduce structural weight and material usage or improve damage tolerance and energy absorption. In this study,the authors develop an approach to design optimized porous structures with Triply Periodic Minimal Surfaces(TPMSs) in the framework of isogeometric analysis(IGA)-based topological optimization.In the developed method, by controlling the density distribution, the designed porous structures can achieve the opt...     

不同室温下的人体生理参数与热感觉相关性

人体某些生理参数存在表征人体热感觉变化的可能性,为了探究不同室温环境中人体生理参数（皮肤温度、脑电）与热感觉变化之间的联系,本研究通过客观实验并结合人体主观问卷调查,分析了人体皮肤温度、脑电频谱功率在冷环境、中性环境、热环境下与热感觉的相关性。研究发现平均皮肤温度、额头温度与热感觉变化显著相关,变化趋势具有一致性;通过对脑电数据进行快速傅里叶变换能量分析,发现处在不同室温下人体的整体热感觉同δ频带 (0.5-4 Hz)以及α频带 (8-13 Hz)的频谱功率变化显著相关,与β频带 (13-30 Hz)的频谱功率变化中度相关。此外,人体在应对冷环境时δ、α、β频带的平均频谱功率变化更为显著,由冷环境过渡至中性环境单位TSV标度下的平均频谱功率变化幅度要高于热环境,在脑电频谱能量这一生理参数层面揭示了人体对冷环境更敏感。     

圆明园舍卫城城墙夯土工艺的科学分析

圆明园位于北京西郊,是一组清代的大型皇家园林,蕴涵丰富的历史、文化、宗教和考古价值,自英法联军火烧圆明园,此后又经历数次劫难,风化破坏十分严重,严重影响遗址的保存与展示。通过舍卫城遗址现场勘查,其城墙夯土遗址共分为14层,形制与普通夯土存在明显的不同,具有典型清代官式建筑土作的做法,目前关于清代官式建筑营造记载的文献主要集中在《工程做法则例》中,但关于“灰”与“土”的内涵缺乏科学认识与解读,为了舍卫城保护修复过程中修补材料的准确应用,舍卫城遗址夯土工艺就十分必要。因此针对这一关键问题,本文采用X射线衍射分析、激光粒度分析及密度与孔隙率分析等手段,对圆明园舍卫城城墙的夯土进行了较为全面的理化检测和工艺性能研究。结果表明,舍卫城城墙主要由石灰和土组成,且没有人为添加细砂,灰土比最接近二八灰土,与古文献《工程做法则例》中的十六把小夯灰土相吻合。同时,通过多种科学数据对比,可进一步推测在夯筑灰土过程中,下层夯土使用了更多的灰土量。多层次的夯土制作工艺,展示了清代宫廷工匠对夯土技术的工艺认识和制作方法。对舍卫城城墙土作工艺进行复原,相关结果为研究圆明园的建筑特点,夯土城墙的文物保护和科学修复等内容,提供了重要科学支持和有益借鉴。