基于改进遗传算法的图像相关匹配

针对图像匹配的数学特点,设计一种新的改进遗传算法用于相关图像匹配。根据基因位的影响和参数调整策略,采用半确定性和大变异结合,汉明距离控制的方法。仿真结果表明,新算法在收敛性能上大大优于简单遗传算法和经典序列猜测算法。     

An Examination and Validation of an Adapted Youth Experience Scale for University Sport

Limited tools assess positive development through university sport. Such a tool was validated in this investigation using two independent samples of Canadian university athletes. In Study 1, 605 athletes completed 99 survey items drawn from the Youth Experience Scale (YES 2.0), and separate a priori measurement models were evaluated (i.e., 99 items, YES 2.0, YES for Sport [YES-S]). Confirmatory factor analysis (CFA) and exploratory structural equation modeling (ESEM) results indicated issues with model fit. Post-hoc modifications improved fit, resulting in a 46-item, 9-factor model with five positive and four negative dimensions. In Study 2, 511 athletes completed the same items. The resultant model was confirmed using both CFA (comparative fit index [CFI] = .911, standardized root mean square residual [SRMR] = .056, root mean square error of approximation [RMSEA] = .040) and ESEM (CFI = .956, SRMR = .023, RMSEA = .034). The resultant University Sport Experience Survey provides a reliable and factorially valid instrument for measuring development in university sport.     

直角坐标转换方法的探讨

以54坐标系和80坐标系之间的坐标转换为例，介绍了二维和三维坐标系严密转换的方法及实现过程，并对转换的精度进行探讨。     

C语言中的自增/自减运算符

本文根据笔者多年的C语言编程经验,详细归纳了++/--运算符在解题过程中应注意的多个方面的事项,是对教材的一个非常有益的补充,可用于C语言教学的参考,也有助于初学者的自学。     

Mathematical Modeling in the Primary School: Children's Construction of a Consumer Guide

This paper examines 6th grade children's local conceptual development and mathematization processes as they worked a comprehensive mathematical modeling problem (creating a consumer guide for deciding the best snack chip) over several class periods. The children and their teachers were participating in a 3-year longitudinal teaching experiment in which sequences of mathematical modeling problems were implemented from the 5th grade (10 years of age) though to the 7th grade. In contrast to traditional problem solving, mathematical modeling requires children to generate and develop their own mathematical ideas and processes, and to form systems of relationships that are generalizable and reusable. Reported here is a detailed analysis of the iterative cycles of development of one group of children as they worked the problem, followed by a summary of the mathematization processes displayed by all groups. Children's critical reflections on their models are also reported. The results show how children can independently develop constructs and processes through meaningful problem solving. Children's development included creating systems for operationally defining constructs; selecting, categorizing, and ranking factors; quantifying quantitative and qualitative data; and transforming quantities.     

CILT2000: Visualization and Modeling

CILT2000 helped VisMod evolve from a collection of local and distinct research and development efforts into a solid field of education. Previous intellectual efforts focused around a) modeling and simulation tools, b) visual explanation tools, c) visual data analysis tools, d) exploring student needs in the context of VisMod, and e) exploring instructional frameworks for VisMod. These focus areas have evolved in two main trajectories, representing the evolution of the field, the generalization trend, which seeks to identify general principles and guidelines for designing learning environments, and the equitable application trend, seeking to use knowledge gained in the field to leverage education in general.     

互联网上的虚拟漫游

基于图像的绘制技术能够克服传统的几何方法建模繁琐、计算复杂的缺陷 ,因而是一种高效的实时虚拟场景绘制新方法。介绍基于图像的VR建模原理和JAVA语言的图形方法 ;讨论了互联网上虚拟场景漫游系统的程序设计 ,该系统采用全景图和基于图像的动画建立虚拟环境 ,用户通过浏览器按钮能够实现多种方式的漫游。     

如何处理Oracle数据库中的坏块问题

从坏块的定义、对数据库的影响谈起,分析其产生的原因,针对不同情况提出处理方法,并总结部分如何预先发现坏块的措施,对实际工作中问题的解决是很实用的。     

Statistical Power of the Multiple Domain Latent Growth Model for Detecting Group Differences

The latent growth model (LGM) in structural equation modeling (SEM) may be extended to allow for the modeling of associations among multiple latent growth trajectories, resulting in a multiple domain latent growth model (MDLGM). While the MDLGM is conceived as a more powerful multivariate analysis technique, the examination of its methodological performance is very limited. Hence, the present study compared the power of the MDLGM with that of a set of univariate LGMs for detecting group differences in growth rates over time using a Monte Carlo study with a two-group and two-domain design. The results indicated that there were different scenarios where the power rates for the MDLGM were greater than that of the set of LGMs (and vice versa) due to a joint function of the two domains’ intercorrelation size and the group difference effect size.