刍议C~3I系统技术在城市交通管理中的应用

首先简单叙述了Ｃ３Ｉ系统在军事上的应用，然后针对我国各类大中型城市的交通现状及特点，涉及到城市交通管理、道路管理、车辆管理和城市交通管理指挥中心站、区域指挥站及各交叉路口控制站，提出将Ｃ３Ｉ系统体系结构运用到民用城市交通管理中去的构想。     

Edge detection,three-dimensional cell boundary reconstruction and volume and surface area estimation from differential interference contrast images

Three-dimensional (3-D) cell morphology is important for the understanding of cell function and can by quantified in terms of volume and surface area. Differential interference contrast (DIC, or Nomarski) imaging can enable cell edges to be clearly visualized in unstained tissue due to the slight difference in refractive index between aqueous media and cytoplasm. DIC is affected in only one direction - the direction of the optical shear. A 1-D edge detector was used in that direction with a scale length equal to that of an in-focus edge to highlight cell boundaries. By comparison with the signal from the edge detector on an out-of-focus slice, the in-focus slices could be segmented and, after noise suppression, cell outlines obtained. A voxel paradigm was used to calculate cell volume and differential geometry was used for surface area estimation. We applied this approach to obtain 3-D dimensional information by optical sectioning of motile Amoeba proteus.     

莺歌海地区低电阻率气层测井响应特征与判别方法

文中概述了莺歌海地区低电阻率气层的主要测井响应特征,详细分析了低电阻率气层的成因,并提出了测井判别方法.特别强调指出局部发育的菱铁矿对该区地层电阻率无明显影响.     

ATM网VBR编码会议电视业务模型的研究

文章研究了ATM网中VBR编码的会议电视业务的模型，提出一阶自回归、瑞利分布残差而不是高斯分布的AR序列模型──RAR（1），实验表明，该模型能产生足够多的大信元帧数，这对于研究信元丢失率特性具有至关重要的影响，而且简单实用。此外，RAR（1）模型在较少（16个）和较多（128个）VBR信源统计复用时，能很好地拟合实际的会议电视业务的统计数据。     

Modeling video sources for real-time scheduling

What is the impact of the autocorrelation of variable-bit-rate (VBR) sources on real-time scheduling algorithms? Our results show that the impact of long term, or interframe, autocorrelation is negligible, while the impact of short term, or intraframe, autocorrelation can be significant. Such results are essentially independent of the video coding scheme employed. To derive these results, video sequences are modeled as a collection of stationary subsequences called scenes. Within a scene, a statistical model is derived for both the sequence of frames and of slices. The model captures the distribution and the autocorrelation function of real-time video data. In previous work, the pseudoperiodicity of the slice level auto-correlation function made it difficult to develop a simple yet accurate model. We present a generalization of previous methods that can easily capture this pseudoperiodicity and is suited for modeling a greater variety of autocorrelation functions. By simply tuning a few parameters, the model reproduces the statistic behavior of sources with different types and levels of correlation on both the frame and the slice level.     

伺服元件的生产应用及发展趋势

本文概括地介绍了我国自70年代以来伺服元件的生产发展状况、元件的性能特点和应用情况，并分析了今后发展的趋势。     

NUMERICAL MODEL FOR DYNAMIC SIMULATION OF TRAFFIC FLOW

ＮＵＭＥＲＩＣＡＬＭＯＤＥＬＦＯＲＤＹＮＡＭＩＣＳＩＭＵＬＡＴＩＯＮＯＦＴＲＡＦＦＩＣＦＬＯＷＷｕＺｈｅｎｇ；ＺｅｎｇＬｉ－ｎｏｎｇ（ＤｅｐａｒｔｍｅｎｔＡｐｐｌｉｅｄＭｅｃｈａｎｉｃｓ，ＦｕｄａｎＵｎｉｖｅｒｓｉｔｙ，Ｓｈａｇｈａｉ２００４３３，Ｐ...     

珠江口盆地惠州地区中新统地层岩性圈闭形成条件分析

区域地质背景反映珠江口盆地惠州地区中新统具有形成地层岩性圈闭的条件。研究惠州地区地层岩性圈闭的形成条件、控制因素和分布规律,对于该区油气勘探持续发展有重要意义。建立了惠州地区中新统高精度的层序地层格架,在此基础上分析不同类型层序的构型特点,研究不同类型坡折带的形成机制、分布范围及对沉积体系的控制作用。层序地层边界和坡折带是控制本区地层岩性圈闭形成的重要因素。惠州地区存在3种具有勘探前景的地层岩性圈闭,选择HZ27-3低位体钻探获得成功。     

Network traffic prediction based on a new time series model

Fast and accurate methods for predicting traffic properties and trend are essential for dynamic network resource management and congestion control. With the aim of performing online and feasible prediction of network traffic, this paper proposes a novel time series model, named adaptive autoregressive (AAR). This model is built upon an adaptive memory‐shortening technique and an adaptive‐order selection method originally developed by this study. Compared to the conventional one‐step ahead prediction using traditional Box–Jenkins time series models (e.g. AR, MA, ARMA, ARIMA and ARFIMA), performance results obtained from actual Internet traffic traces have demonstrated that the proposed AAR model is able to support online prediction of dynamic network traffic with reasonable accuracy and relatively low computation complexity. Copyright © 2005 John Wiley & Sons, Ltd.