Optimal and self‐tuning fusion Kalman filters for discrete‐time stochastic singular systems

Based on the optimal fusion estimation algorithm weighted by scalars in the linear minimum variance sense, a distributed optimal fusion Kalman filter weighted by scalars is presented for discrete‐time stochastic singular systems with multiple sensors and correlated noises. A cross‐covariance matrix of filtering errors between any two sensors is derived. When the noise statistical information is unknown, a distributed identification approach is presented based on correlation functions and the weighted average method. Further, a distributed self‐tuning fusion filter is given, which includes two stage fusions where the first‐stage fusion is used to identify the noise covariance and the second‐stage fusion is used to obtain the fusion state filter. A simulation verifies the effectiveness of the proposed algorithm. Copyright © 2008 John Wiley & Sons, Ltd.     

防治水泥稳定碎石基层沥青路面裂缝的措施浅析

水泥稳定碎石基层沥青路面裂缝产生的原因复杂 ,但非荷载型裂缝更为主要。防治水泥稳定碎石基层沥青路面的裂缝应该从设计和施工两方面考虑 ,其中由结构、材料组成设计 ,以及施工工艺出发控制水泥稳定碎石基层本身的收缩也是一项重要措施。     

MPEG-2视频编码标准及CLM4400视频编码芯片简介

本文通过MPEG-2和MPEG-1在视频方面的比较，简略地介绍了MPEG-2视频标准，并附带介绍了C-CUBE公司的MPEG-2视频编码芯片CLM4400的功能和应用前景。     

十年风雨十年情

十年，在人类历史的长河中只是短短的一瞬，而对于普通人的一生来说，十年却意味着青春的大半光阴。从20世纪的1995年到今天，十年如一日。他一步一个脚印，把美好的青春奉献给了日新月异的数据通信事业。他叫汤昕，现任乐清电信局数据维护支撑室主任。     

浅谈学校思想政治工作的任务

学校思想政治工作的任务是什么?面对这个问题,不少从事学校思想政治工作的人回答不上来.有些同志虽能说出一些,但仍不免失之肤浅或偏颇.如有的同志认为,学校思想政治工作的任务是政治学习、舆论宣传、说服教育、号召动员等.其实,这些都是思想政治工作方面的具体工作,而非主要任务.这就像学生管理的具体工作是抓纪律、抓卫生、抓内务、抓活动……而其主要任务则是培养学生优秀的思想品质、严格的组织性纪律性和良好的工作、学习、生活习惯一样.我们在实际工作中,是着眼于做好某项具体工作,还是放眼于任务的圆满完成?这是一个工作境界问题.境界越高,对问题的认识越准,工作的措施越对,收到的效果就越好.我们的思想政治工作倘若仅仅是为了做好某项具体工作的话,那就很难达到应有的水平,因为它缺乏必要的宏观目标的指导.你想把握学校思想政治工作的主动权吗?你想把它开展得游刃有余、卓有成效吗?那就首先需要对学校思想政治工作的任务有一个清醒的认识.现结合自己多年从事学校思想政治工作的实践体会,谈一点粗浅的认识.我们认为,学校思想政治工作有思想政治工作的共性,也有学校工作的特点,其任务可以概括为六个字:提高、落实、统一.     

Flame retardant and the degradation mechanism of high impact polystyrene/Fe-montmorillonite nanocomposites

High impact polystyrene/Fe-montmorillonite (HIPS/Fe-MMT) nanocomposites were successfully prepared by melting intercalation. The nanostructures of HIPS/Fe-MMT were testified by X-ray diffraction (XRD) and transmission electron microscope (TEM). Corresponding to pure HIPS, the thermal stability of HIPS/Fe-MMT nanocomposites was notably improved. The peaks of heat release rate (PHRR) and the mass loss rate (MLR) were significantly reduced after the formation of the HIPS/Fe-MMT nanocomposites from cone calorimetry. And nanocomposites PHRR was further lower with the increase of Fe-MMT content in the range of 1 to 5 wt%. The degradation mechanism of HIPS and HIPS/Fe-MMT nanocomposites was conducted by pyrolysis gas chromatography mass spectrometry (Py-GC-MS). And the reason of the enhancement of thermal stability maybe is that structural iron is the operative site for radical trapping in the Fe-MMT and the nanostructure enhances the interaction of the chains of the HIPS.     

电子文档防扩散体系建设研究

本文针对目前日益凸显的电子文档泄漏问题,对国内电子文档保护现状和存在的问题进行了分析,从原理和实现方式等方面对比了主流文档保护产品,总结了在建立电子文档防扩散体系时应确定的防护原则,并对管理和技术要点进行了分析,为电子文档防扩散系统的建设提供了建议。     

A conditional classification recurrent RBM for improved series mid-term forecasting

In the context of human-robot and robot-robot interactions, the better cooperation can be achieved by predicting the other party’s subsequent actions based on the current action of the other party. The time duration for adjustment is not sufficient provided by short term forecasting models to robots. A longer duration can by achieved by mid-term forecasting. But the mid-term forecasting models introduce the previous errors into the follow-up forecasting and amplified gradually, eventually invalidating the forecasting. A new mid-term forecasting with error suppression based on restricted Boltzmann machine(RBM) is proposed in this paper. The proposed model can suppress the error amplification by replacing the previous inputs with their features, which are retrieved by a deep belief network(DBN). Furthermore, a new mechanism is proposed to decide whether the forecasting result is accepted or not. The model is evaluated with several datasets. The reported experiments demonstrate the superior performance of the proposed model compared to the state-of-the-art approaches.

     

适用于复杂环境下的实时目标跟踪技术

针对复杂环境下目标跟踪过程中目标存在旋转、视角、尺度等变化以及噪声干扰的问题,提出了一种基于尺度不变特征与快速模板匹配相结合的目标跟踪技术;该技术通过分别提取预先存储模板和实时采集图像的尺度不变特征,建立初始模板;采用菱形搜索策略对模板的低分辨率子图和待跟踪图像的低分辨率子图进行快速互相关检测,根据检测结果在该帧高分辨率图像中建立紧凑ROI,在此区域内进行模板匹配,对目标进行精确定位;在目标跟踪的过程中采用自适应模板更新策略,以保证在目标发生变化时跟踪的稳定性;实验结果表明,该技术在稳定性、准确性和实时性等方面均优于传统方法。