Methods of Verifying Continuous Automatic Belt Weighers: State and Prospects

The basic methods of verifying continuous automatic belt weighers are described. A comparative analysis of these methods on the basis of experimental studies is made and ways of implementing the results in industry are recommended.     

Automatic fog detection and estimation of visibility distance through use of an onboard camera

In this paper, we will present a technique for measuring visibility distances under foggy weather conditions using a camera mounted onboard a moving vehicle. Our research has focused in particular on the problem of detecting daytime fog and estimating visibility distances; thanks to these efforts, an original method has been developed, tested and patented. The approach consists of dynamically implementing Koschmieder's law. Our method enables computing the meteorological visibility distance, a measure defined by the International Commission on Illumination (CIE) as the distance beyond which a black object of an appropriate dimension is perceived with a contrast of less than 5%. Our proposed solution is an original one, featuring the advantage of utilizing a single camera and necessitating the presence of just the road and sky in the scene. As opposed to other methods that require the explicit extraction of the road, this method offers fewer constraints by virtue of being applicable with no more than the extraction of a homogeneous surface containing a portion of the road and sky within the image. This image preprocessing also serves to identify the level of compatibility of the processed image with the set of Koschmieder's model hypotheses. Nicolas Hautiére graduated from the École Nationale des Travaux Publics de l'État, France (2002). He received his M.S. and Ph.D. degree in computer vision, respectively, in 2002 and 2005 from Saint-Étienne University (France). From 2002, he is a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC), Paris, France. His research interests include trafic engineering, computer vision, and pattern recognition. Jean-Philippe Tarel graduated from the École Nationale des Ponts et Chaussées, Paris, France (1991). He received his Ph.D. degree in Applied Mathematics from Paris IX-Dauphine University in 1996 and he was with the Institut National de Recherche en Informatique et Automatique (INRIA) from 1991 to 1996. From 1997 to 1998, he was a research associate at Brown University, USA. From 1999, he is a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC), Paris, France, and from 2001 to 2003 in the INRIA. His research interests include computer vision, pattern recognition, and shape modeling. Jean Lavenant graduated from the École Nationale des Travaux Publics de l'État, Lyon, France (2001). He received the M.S. degree in Computer Vision from Jean Monnet university of Saint-Étienne in 2001. In 2001, he was a researcher in the Laboratoire Central des Ponts et Chaussées (LCPC). In 2002, he was a system engineer in Chicago (USA). He is currently an engineer for the french ministry of transports. Didier Aubert received the M.S. and Ph.D. degree, respectively, in 1985 and 1989 from the National Polytechnical Institut of Grenoble (INPG). From 1989--1990, he worked as a research scientist on the development of an automatic road following system for the NAVLAB at Carnegie Mellon University. From 1990–1994, he worked in the research department of a private company (ITMI). During this period he was the project leader of several projects dealing with computer vision. He is currently a researcher at INRETS since 1995 and works on Road traffic measurements, crowd monitoring, automated highway systems, and driving assistance systems for vehicles. He is an image processing expert for several companies, teaches at Universities (Paris VI, Paris XI, ENPC, ENST) and is at the editorial board of RTS (Research - Transport - Safety).     

一种通用型的目标数据仿真

给出了一种通用型的雷达目标模拟器 ,它能够方便直观的产生各种特征的三维目标轨迹 ,可实时离散出目标点迹 ,为雷达数据处理及精度分析提供数据来源。目标轨迹由一组特征点定义 ,修改方便 ,应用灵活     

实用神经网络的生物模拟器 待续

本文介绍一种能模拟单个神经元、触突以及系统的模拟器Ｓｉｍｕｌａｔｏｒ。用它模拟在生物界所熟知的一种无脊椎软体类似海参的食肉类动作Ｐｌｅｕｒｏ－ｂｒａｎｃｈｅａ。它的各种形为如吞食食物，遇敌退缩等用Ｆｏｒｔｒａｎ７７版本编程并在Ｓｕｎ３／５０工作站上进行模拟获得了满意结果。     

人工关节试验机电液力伺服控制系统迭代学习控制策略仿真

本文首先介绍了人工关节试验机电液力伺服控制系统的构成，并分析了其静特性。针对力系统的特性，本文提出了一种闭环比例型一阶给定超前迭代学习控制算法，并对其控制效果进行了仿真研究。研究结果表明，采用迭代学习控制算法可以有效地提高力系统的跟随精度。     

引信干扰机训练模拟器控制系统设计

引信干扰机训练模拟器是为电子对抗部队进行引信干扰机训练而研制的。它作为引信干扰机的配套训练设备，既可避免因实弹发射所带来的一系列的不便，又能监视操作情况，记录训练过程，对操作人员的操作水平作出评价。本文就其控制系统的设计作了详细介绍。     

模拟光耦SLC800在转台系统中的应用

在大功率转台控制系统中．存在着较大的电压干扰和电磁兼容问题。在转台的控制精度和驱动功率不断提高的情况下．本文使用模拟光耦隔离器件SLC800重新设计了转台中的某部分模拟电路．将功率放大电路和控制电路隔开，来增强系统的抗干扰能力和运行的可靠性。实验结果的分析和转台的运行表明：应用模拟光耦进行隔离，有效地消除了转台控制中的干扰和电磁兼容。     

核电厂放射性监测系统仿真的数学物理模型

较详细地介绍了在北京核电厂模拟培训中心的模拟器上建立ＲＭＳ仿真系统的工作。首先对仿真的原型进行分析和简化，建立数学物理模型，并对包括ＲＣＳ、ＰＺＲ、ＳＧ、ＣＶＣＳ等的近２０个核电厂系统进行了动态仿真建模，确定ＲＭＳ各监测点放射性水平仿真读数的计算方法，最后，给出部分仿真实验结果，以验证数学物理模型的可靠性和适用性。     

近红外仿灸仪的研制与临床应用

近红外仿灸仪,也称为经络灸疗仪,是采用我国传统医学与现代科学技术相结合而研制成的一种新型中医治疗、保健仪器,可以用于治疗多种疾病。本仪器根据艾灸燃烧时所辐射的光谱,运用仿真技术进行模拟,根除了传统灸法燃烧缓慢、效率不高、烟雾较大、刺鼻熏眼、易于灼伤、操作不便等缺点,充分发挥了我国传统灸法的温经通络、补气活血、化瘀消肿,祛湿止痛的功效。