Model Selection for Unsupervised Learning of Visual Context

This study addresses the problem of choosing the most suitable probabilistic model selection criterion for unsupervised learning of visual context of a dynamic scene using mixture models. A rectified Bayesian Information Criterion (BICr) and a Completed Likelihood Akaike’s Information Criterion (CL-AIC) are formulated to estimate the optimal model order (complexity) for a given visual scene. Both criteria are designed to overcome poor model selection by existing popular criteria when the data sample size varies from small to large and the true mixture distribution kernel functions differ from the assumed ones. Extensive experiments on learning visual context for dynamic scene modelling are carried out to demonstrate the effectiveness of BICr and CL-AIC, compared to that of existing popular model selection criteria including BIC, AIC and Integrated Completed Likelihood (ICL). Our study suggests that for learning visual context using a mixture model, BICr is the most appropriate criterion given sparse data, while CL-AIC should be chosen given moderate or large data sample sizes.     

一种新颖的基于非压缩数字视频的水印盲检测算法

数字水印是一种嵌入到多媒体数据中用来进行版权标识的工具。在众多的宿主媒体中，数字视频因具有隐藏容量大、透明性好、鲁棒性强等诸多优点而受到日益广泛的关注。但是很多文献中提到的视频水印都是从数据流中提取单帧图像进行处理，这类算法与静态图像的水印方法如出一辙，没有充分利用视频文件的各种特性。而且对帧平均、视频压缩等常见的运动图像攻击方法十分敏感。针对这些问题，本文以非压缩视频文件为实验对象，结合人类视觉模型和彩色图像场景分割的方法，提出并实现了一种基于视频时间轴的数字水印盲检测算法。实验结果表明算法有效实用。     

In flight MTF monitoring and compensation for CCD camera on CBERS-02

All image systems cause a blurring of the scene radiance field during image acquisi- tion. Accurate characterization of this blurring is referred to as the modulation transfer function (MTF)[1]. The MTF is a fundamental imaging system design specification and system quality metric often used in remote sensing. It results from the cumulative effects of the instrumental optics (diffraction, aberrations, focusing error), integration on a pho- tosensitive surface, charge diffusion along the arra…     

Strategies for Coping With Business Trips: A Qualitative Exploratory Study.

This study aimed to better understand the impact of business trips on the traveler, the family, and the organization; to learn about maximizing the positive aspects of business travel; and to suggest measures to prevent and manage travel stress. Thirty-five business travelers (American, Israeli, and Swedish) were interviewed about the costs and benefits of their traveling, with a focus on gaining insight into coping strategies. Content analysis of the interviews showed that trips consist of 4 phases--(a) pretrip, (b) journey, (c) stay, and (d) posttrip--and that each phase is characterized by different coping strategies. Business travelers reported using proactive individual and organizational coping strategies in the pretrip phase and a combination of proactive and reactive coping strategies in the other phases. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

波在PTL介质中传播的旅行时反演

本文对Byun(1990)的横向各向同性介质的旅行时反演方法作了两点改进:其一是根据优化后的V_r值计算一个初始的F值,然后再根据这个初始值进行最小均方误差分析;其二是对初始值进行优化分析时,提出用测量值(或由式(4)和式(10)计算的理论值)作为实际值进行拟合,而Byun的方法是用式(11)的计算来得到一个实际值。理论模型证明:本文所述方法有一个比较宽的适应性,而Byun方法只在弱各向异性时才可以得到较精确的结果。     

VTI介质中弹性参数地震反演方法

根据地震波在具有垂直对称轴的横向各向同性（VTI）介质中的运动学特征，应用传播时间反演方法，进行了水平层状VTI介质的地层弹性参数反演方法研究。在VTI介质中，P－P波的传播时间曲线不再是双曲线，尤其在长排列情况下，已不能用二项泰勒展式精确地反演P－P波的传播时间，用三项泰勒展式则可以达到更高精度；P－SV波的传播时间也可用三项泰勒展式表达，在中等及短排列长度时可达到一定精神。对P－P波、P－SV波的传播时间进行三项泰勒展开时，它们的系数中包含了地震波的各向异性信息及垂直速度信息，中以为地震波的弹性参数反演提供提供基础，模试验分析及江苏油田某地区的二维多波资料实际反演结果表明，在最大炮间距为1．5倍地层埋深时，可以很精确地得到三项泰勒展式的系数，应用这些系数能精确反演地层弹性参数，包括P波、S波的垂直速度和各向异性参数。图4表1参5（杜丽英摘）     

红外警戒系统作战环境的计算机仿真

文中论述了红外警戒系统视景仿真研究的主要内容，给出了仿真软件流程。探讨了满足红外警戒系统全方位、多目标视景生成的实时性方法。     

凸轮机构推程、回程运动角的最佳匹配及其求解方法

在推程、回程运动角之和 Φ0 +Φ′0 =C(定值 )的情况下 ,必存在某一对推程、回程运动角的最佳匹配 Opti-m um{ Φ0 ,Φ′0 } ;当选用该最佳匹配时 ,对心式直动从动杆盘形凸轮基圆半径 r0 取得最小值 r0 min。本文在揭示出上述事实的基础上 ,研究解决了当选取最佳匹配 Optim um{ Φ0 ,Φ′0 }时 ,按许用压力角 [α]条件求解对心式直动从动杆盘形凸轮基圆半径最小值 r0 min的解析法。     

Comparisons of Urban Travel Forecasts Prepared with the Sequential Procedure and a Combined Model

Detailed analyses and comparisons of urban travel forecasts prepared by applying the state-of-practice sequential procedure and the solution of a combined network equilibrium model are presented. The sequential procedure for solving the trip distribution, mode choice and assignment problems with feedback is the current practice in most transportation planning agencies, although its important limitations are well known. The solution of a combined model, in contrast, results from a single mathematical formulation, which ensures a well-converged and consistent result. Using a real network, several methods for solving the sequential procedure with feedback are compared to the solution of the combined model ESTRAUS. The results of these methods are shown to have various levels of instability. The paper concludes with a call for a new paradigm of travel forecasting practice based on an internally consistent model formulation that can be solved to a level of precision suitable for comparing alternative scenarios.