On altruists and egoists in activity participation and travel: who are they and do they live together?

Formulation and specification of activity analysis models require better understanding of time allocation behavior that goes beyond the more recent within household analyses to understand selfish and altruistic behavior and how this relates to travel behavior. Using data from 1,471 persons in a recent 2-day time use/activity diary and latent class cluster analysis we identify 11 distinct daily behaviors that span from the intensely self-serving to intensely altruistic. Predicted cluster membership is then used to study within household interactions. The analysis shows strong correlation exists between social role and patterns of altruistic behavior. However, a substantial amount of heterogeneity is also found within social roles. In addition, travel behavior is also very different among altruistic and self-serving time allocation groups. At the household level, a substantial number of households contain persons with similar behavior. Another group of households contains a mix of self-serving and altruistic persons that follow specialized household roles within their households. The majority of households, however, are populated by altruistic persons. Single person households are more likely to be in the self-serving groups but not in their entirety. Altruism at home is directed most often toward the immediate family members. This is less pronounced when we examine altruistic acts outside the home. Konstadinos G. Goulias is a professor of Geography at the University of California Santa Barbara, has been a professor of Civil Engineering at the Pennsylvania State University from 1991 to 2004, and he is the founder and chair of the TRB task force on moving activity-based approaches to practice. Kriste M. Henson is a technical staff member at Los Alamos National Laboratory in the Decision Applications Division and is currently pursing a Ph.D. in Geography at the University of California—Santa Barbara.     

一种基于Rough集的序列粒模型的构建

均对粒模型的构建问题,提出了基于Rough集的一种粒表示方法:文章首先对于时间序列作了粒的描述,采用SAX符号表示不仅因为它的适用于粒的描述,更重要的是为后面的逻辑推理打下良好的基础.然后用基于SAX距离的相似性找出相近的模式,利用Rough集的规则发现算法找出关联规则.通过实验证明,本文中所提出的时间序列挖掘方法以及时序粒挖掘的算法基本上可满足实际时序挖掘的需要.     

半平面上有限级随机Dirichlet级数的增长性

证明了右半平面上有限级随机Dirichlet级数的增长性几乎必然与其在每条水平直线上的增长性相同。     

牵引供电系统用移动式串联电容补偿方案探讨

针对线路坡度大、牵引负荷重的山区电气化铁路在开行货车且进行越区供电时,接触网末端电压水平经常低于设计规范要求的最低电压19 kV的要求,很难满足运输组织的需要,以丽江—香格里拉铁路为例,提出了区间移动式串联电容补偿方案,可以提高接触网末端电压水平,保障牵引供电系统越区时的运输要求,且较为节省投资。     

FPSO锚泊系统动力响应影响因数分析

基于三维势流理论,建立了FPSO与锚泊系统时域耦合分析方法。在时域内对设计好的锚泊系统进行动态分析,并验证了锚泊系统设计的安全性。然后对比研究了系泊线夹角、预张力、转塔位置、拖曳力系数等重要参数对FPSO锚泊系统动力响应的影响,并讨论了悬链线式和张紧式两种系泊方式的区别。总结出了这些参数的影响规律,为锚泊系统动力响应的优化提供了参考意见。     

压载水处理装置进出口导叶结构优化研究

为了增加压载水在UV杀菌装置内的照射时间、改善流场分布,对杀菌装置设计了旋向相反的进出口导叶。运用FLUENT软件对不同参数导流叶片的过流时间及流场进行了模拟计算,结果显示,在流量和叶片厚度不变时,减少叶片数、增加出口安装角及采用弯曲型导叶,均能增加过流时间。当导叶片数为3片,导叶片厚度为10mm,导叶出口安装角为20°时,海水流过紫外腔时照射时间比没有安装导叶前增加了0.327s,达到了杀菌要求。     

圆形薄板在任意弹性边界条件下的自由振动分析

采用改进的 Fourier-Bessel 级数方法和 Rayleigh-Ritz 法对任意弹性边界条件下的圆形薄板进行自由振动分析。通过将圆板的位移函数表示为 Fourier-Bessel 级数和辅助级数的组合,有效地解决了位移函数在边界处的不连续性问题。最后,应用 Rayleigh-Ritz 法建立了圆板自由振动的矩阵方程,所有振动参数可以通过求解矩阵方程得到。方程特征值对应着圆板振动的固有频率,特征向量对应着圆板振动的振型模态。通过数值仿真计算结果与文献、有限元结果对比,证明了该方法的正确性。     

战斗机行为模式序列统计技术

特定的战斗机通常执行特定的作战任务,在特定的时刻表现出特定的行为模式,并执行由特定行为模式顺序构成的行为模式序列,这些行为模式序列可以用于对战场态势分析及目标意图识别的依据。论文基于数据挖掘中经典的Apriori算法,从目标行为序列记录中进行搜索和分析,找出符合条件的行为模式子序列,并以实例说明了统计的方法和过程。     

康明斯ISLe系列柴油机活塞凸出量计算研究

对康明斯ISLe系列柴油机的活塞凸出量进行了计算研究,使用极限法计算并用DVA计算法优化计算结果,研究了优化后的计算结果和发动机装配线实际测量数据。实际测量数据基本处在优化后的活塞凸出量尺寸范围。同时确定了发动机活塞凸出量的最佳尺寸范围。     

Unsupervised color-texture image segmentation

The measure J in J value segmentation （JSEG） fails to represent the discontinuity of color, which degrades the robustness and discrimination of JSEG. An improved approach for JSEG algorithm was proposed for unsupervised color-texture image segmentation. The texture and photometric invariant edge information were combined, which results in a discriminative measure for color-texture homogeneity. Based on the image whose pixel values are values of the new measure, region growing-merging algorithm used in JSEG was then employed to segment the image. Finally, experiments on a variety of real color images demonstrate performance improvement due to the proposed method.