一类耗散非线性波动方程初边值问题整体解的存在与非存在性

本文考虑一类耗散非线性波动方程的初边值问题。用半(?)方法和先验估计论证了该问题小初值下在时间大范围的可解性、唯一性;并用凸性方法证明了(?)当条件下该问题的解在有限时间内发生爆破现象。     

Influences of population density,temperature and latitude on the growth of invasive topmouth gudgeon Pseudorasbora parva

Plasticity in life‐history traits provides advantages for introduced fish in overcoming demographic bottlenecks that would otherwise inhibit establishment. Here, the influence of population density, temperature and latitude was tested on the growth increments and growth rates of invasive populations of topmouth gudgeon Pseudorasbora parva, a small Asian cyprinid fish that is invasive across Europe. Aquaria experiments tested the roles of fish number and temperature on growth increments under a fixed food supply, pond experiments tested the role of density on growth increments, and a field study completed in England and Wales tested the influence of density and latitude on growth rates. In aquaria experiments, whilst growth increments were higher at 21 and 23 °C than at 19 and 25 °C, fish number had a greater influence on growth than temperature. Higher growth increments were produced at lower densities. In experimental ponds, growth increments were significantly higher in ponds with low densities of P. parva compared with those at elevated densities. In the field study comprising 10 wild populations across a latitudinal gradient of 4.0°N, a difference in mean air temperatures of approximately 3 °C, and estimated densities between 0.5 and 65.0 m^?2, population density was the only significant predictor of growth rates. Whilst populations at very low densities comprised of significantly faster growing individuals, there were no significant differences when densities were between 15 and 65 m^?2. Thus, invasive P. parva populations have considerable growth plasticity, especially at low densities, with this likely to be important in their ability to colonise new environments.     

基于云计算技术和3D渲染的农机虚拟制造技术研究

为了提高农机现代化和批量化生产效率,实现基于个性化需求农机设计和制造,提出了面向机加工的云技术农机制造服务候选资源的发现方法,并设计了农机虚拟制造的云计算平台。在农机部件云制造虚拟平台中,首先利用云存储技术存放大量的候选制造企业资源样本数据,然后利用智能分类算法KNN对候选资源进行分类,根据农机部件制造需求的客户对候选资源进行优选,最后得到最佳的候选资源。基于云计算和3D渲染技术,构建了面向工序级和零件级服务的仿真环境,并通过仿真实验,得到了优选后服务方的服务时间、费用和合格率,为现代农机的批量生产和个性化加工服务提供了新的解决方案。     

信息与计算科学专业《数据结构》教学实践与思考

结合信息与计算科学专业设置,本文分析了数据结构课程教学现状,从整合教学内容、设置教学梯度和完善教学手段等方面进行研究与探索。本课题针对交叉学科的特点强调学以致用和知识的融会贯通,搭建了开放的专题学习平台,提高了学生的自主学习和研究能力,初步取得了较好的教学效果,为数据结构课程的教学改革提供了参考。     

基于云计算的数据库管理系统在高校中的应用与实现

云计算是在网格计算的基础上发展而来的计算模型,是分布式计算、并行计算和网格计算的发展。介绍了云计算运用于数据库管理系统在现代化高校中的实现,针对传统的数据库管理系统存在的一些盲点,提出了云数据库管理系统的解决方案,指出了云数据库管理系统的广阔发展前景。     

一类二维加权积分数值求积方法及其误差分析

针对一类二维加权积分的数值计算方法及误差分析进行研究,参照一维广义高斯积分数值求积方法提出一种具有较高代数精度的计算方法并对其误差做分析,同时给出几个简明的结果。这些结果可用到诸如小波分解,图像处理与多分辨数字信号处理等领域。     

The Inherent Fault Tolerance of Multi-Layer Neural Networks

The inherent fault tolerance of multilayer neural networks (MLNs) is due to thedistributed properties of information processing and information storage in an MLN , and the inher-ent fault-masking capability of every neuron. Also,the concept of inherent fault tolerance of MLNsis formalized, Finally, perceptrons and three-layer nets are shown inherently fault tolerant underreasonable statistical conditions,respectively.