图像边界检测区域对比度模糊增强算法在轮廓提取中的运用

分析了图像边界检测的区域对比度模糊增强算法的特点，通过实验验证了该算法的正确性和可行性，并指出了算法的一些不足之处和待改进的地方，提出了一种适用轮廓提取的新广义算子。     

汽车维修中检测诊断技术的应用探讨

现如今汽车已经成为人们必不可少的代步工具,汽车的数量随之也越来越多,在汽车的行驶过程中,难免会出现故障之类的问题,因此汽车的维修工作也变的尤为重要,其维修的师傅必须具备丰富的工作经验以及理论知识,然后借助检测诊断技术来进行汽车的事故和问题故障的检测排查工作。本文围绕汽车的检测诊断技术以及该技术在汽车维修中的应用展开分析。     

Chaotic movement of vortices in superconductors of high-Tc superconducting maglev system at a high speed

Vortex motion in superconductors of higb-Tc superconducting maglev system is studied by a computational simulation.The vortex system is treated in a similar fashion,as a system where defects arc arrang...     

主动声纳的低截获性数字仿真研究

在现代海战中,舰艇面临着越来越严峻的敌方侦察声纳的威胁.低截获是一项非常诱人的技术.低截获声纳通过选择合适的发射信号,在保持探测能力的同时,降低被敌方侦察声纳截获的概率.采用数字仿真的形式,分析浅海侦察声纳信号能量的变化,研究主动声纳的低截获性.仿真结果表明在高斯噪声背景下,主动声纳实现低截获性相当困难.     

交通运输超限治理对策研究

由于交通运输量的不断增大以及运输行业的恶性竞争等原因，导致货车超载现象越来越普遍，并已成为急需解决的问题。探讨交通运输超限治理的对策，对于完善科学而系统的超限管理体系具有一定的借鉴意义。     

汽车自动变速器检测台的开发研究

介绍了一种可对汽车自动变速器性能进行全面测试的检测台，论述了其结构组成、功能特点和推广应用价值。     

城市轨道交通车载列车自动防护设备仿真检测平台研究

仿真测试是开展城市轨道交通信号系统相关技术研究的一种有效方法。利用商业虚拟仪器开发平台LabVIEW,讨论了车载ATP(列车自动防护)设备仿真检测系统研制的技术和方法。实践证明,该车载ATP设备仿真检测平台具有高效、灵活、低成本的特点。     

基于磁链关系函数判断无刷电机转子位置的方法

为了扩展无位置传感器无刷直流电动机（BLDCM）间接位置检测方案的适用速度范围．在电机采用三相六拍两两导通的条件下，基于对磁链相关函数的分析，提出了一种简化的磁链关系函数法。根据电机的数学模型和磁链关系函数，对电机本体和检测算法建模仿真。仿真结果表明该算法能在低、高速时准确检测BLDCM的换相位置。     

A note on the use of correlation coefficients for assessing goodness-of-fit in spatial interaction models

The use of correlation coefficients to evaluate the accuracy of spatial interaction models is inappropriate unless such models have been fitted using least squares techniques. In other cases the correlation involves an implicit intercept value and a regression coefficient that may significantly modify the interaction model's estimates. Researchers have not acknowledged the role of these two parameters when the correlation is used. A generalized root mean square error is proposed as an alternative indicator of accuracy that may be used with any model.     

A new methodology for incident detection and characterization on surface streets

In this paper, a new methodology is presented for real-time detection and characterization of incidents on surface streets. The proposed automatic incident detection approach is capable of detecting incidents promptly as well as characterizing incidents in terms of time-varying lane-changing fractions and queue lengths in blocked lanes, lanes blocked due to incidents, and incident duration. The architecture of the proposed incident detection approach consists of three sequential procedures: (1) Symptom Identification for identification of incident symptoms, (2) Signal Processing for real-time prediction of incident-related lane traffic characteristics and (3) Pattern Recognition for incident recognition. Lane traffic counts and occupancy are the only two major types of input data, which can be readily collected from point detectors. The primary techniques utilized in this paper include: (1) a discrete-time, nonlinear, stochastic system with boundary constraints to predict real-time lane-changing fractions and queue lengths and (2) a pattern-recognition-based algorithm employing modified sequential probability ratio tests (MSPRT) to detect incidents. Off-line tests based on simulated as well as video-based real data were conducted to assess the performance of the proposed algorithm. The test results have indicated the feasibility of achieving real-time incident detection using the proposed methodology.