试论数字化博物馆空间艺术形态设计构思

数字化博物馆设计基于现代电子技术的发展,作为一种视听艺术,在二维的界面载体上构建出多维的视听虚拟空间的几种空间艺术形态的探讨。数字化博物馆的空间艺术形态表现形式本身就具有鲜明的空间性。设计师对虚拟空间形态的运用,会给观众带来更多趣味性和艺术性。对于设计师而言,设计创作的关键是从二维到多维空间思考角度的转变,并赋予其全新的审美趣味交流。     

基于神经网络的变流量管路摩阻系数计算

应用改进的BP神经网络算法对过渡区内流量变化下的蒸汽管路摩阻系数进行了预测,解决了因蒸汽流量变化而使得摩阻系数值计算过程复杂繁琐、效率低下的问题。实例表明,该方法得到的仿真值与Colebrook方程计算值符合较好,所产生的误差平均水平能够满足工程计算的精度要求。     

MF-TDMA信道分配研究

MF-TDMA因其灵活的分配策略和信道利用率在通信系统中广泛使用。由于信道资源有限性以及用户需求的多变性,使得如何将有限的信道最大的利用以便为更多的用户服务成为MF-TDMA的关键问题。针对这一问题,文章首先对MF-TDMA信道结构进行处理,将MF-TDMA的信道分配问题转为二维装箱问题。然后,针对该问题的常规算法FFA进行改进,提出了基于最小资源浪费率的FFA贪心算法（IFFA）。最后,对给出的结果进行了简单的验证。     

一类新的寻求全局最优解的填充函数

填充函数法是一种求解多变量、多极值函数全局最优化的有效方法,该方法最早由葛入溥在文献[1]中提出,这种方法的关键是构造填充函数.文中在无Lipschitz连续条件下,考虑用单参数填充函数求解无约束全局优化问题,给出了一类新的形式简单的单参数填充函数.容易证明该填充函数在参数充分小时就能保持其填充性质.根据这个填充函数还提出了一个求解无约束优化问题的填充函数算法,通过一些检验函数的数值运算结果验证了算法的可行性和有效性.     

Distributing weights under hierarchical clustering: A way in reducing performance breakdown

This paper proposes a clustering asset allocation scheme which provides better risk-adjusted portfolio performance than those obtained from traditional asset allocation approaches such as the equal weight strategy and the Markowitz minimum variance allocation. The clustering criterion used, which involves maximization of the in-sample Sharpe ratio (SR), is different from traditional clustering criteria reported in the literature. Two evolutionary methods, namely Differential Evolution and Genetic Algorithm, are employed to search for such an optimal clustering structure given a cluster number. To explore the clustering impact on the SR, the in-sample and the out-of-sample SR distributions of the portfolios are studied using bootstrapped data as well as simulated paths from the single index market model. It was found that the SR distributions of the portfolios under the clustering asset allocation structure have higher mean values and skewness but approximately the same standard deviation and kurtosis than those in the non-clustered case. Genetic Algorithm is suggested as a more efficient approach than Differential Evolution for the purpose of solving the clustering problem.     

Terahertz spectroscopic uncertainty analysis for explosive mixture components determination using multi-objective micro-genetic algorithm

In practical applications, many suspicious samples may be a kind of mixture and consist of various chemical components that make the spectral analysis difficult. Various explosives and related compounds (ERC) in the mixture can be identified and the concentration of each component can be estimated based on the known spectral data of the pure explosive components. In this paper, the terahertz spectroscopic uncertainty analysis using a micro-GA has been proposed, in which the random assignment of alleles from parents to offspring is implied. An intelligent computation-based technical road-map is also provided for the analysis and optimisation of the terahertz spectroscopic combination analysis. A simulation with two given test cases for the ERC has been devised. The results of the simulation show that micro-GA and its derivatives have the potential applications in the fields of security, medicine and food industry to fast identify mixtures.     

基于感应无线的高分辨率位置检测系统研究

为了提高移动机车位置检测精度,提出了一种感应无线位置的检测方法.该方法采用一条独特的编码电缆,利用电磁感应原理,建立了发送线圈与编码电缆之间的信息传输系统,并通过检测感应电动势的相位和幅度,得到移动机车的位置.分析了感应无线检测的原理和方法,推导出了位置检测公式,并进行相关试验.试验结果表明,感应无线位置检测分辨率为2mm,检测精度达到了国际先进水平,可广泛应用于移动机车自动定位中.     

基于α分布的单矢量传感器多目标方位估计

研究 稳定分布条件下单矢量传感器的多目标方位估计问题。介绍多维 稳定分布特征函数的谱测度表示及谱测度估计方法,在此基础上推导出单矢量传感器输出速度正交分量满足特征函数谱测度表示方程,建立谱测度与目标方位间的对应关系,用特征函数法或一维投影法估计谱测度和目标源方位及数量。仿真结果表明,在 稳定分布假设下,基于谱测度的多目标方位估计法是合理有效的。     

中文RSS信息自动检索与分类研究

设计并实现了RSS垂直爬虫算法,利用广度优先算法聚焦于RSS源进行自动采集,并在文本分词基础上,针对RSS源进行词语权重计算方法的改进及词语过滤,利用VSM方法实现RSS自动分类。实验结果表明,RSS系统在较低的负载下,能以较高的效率和正确率实现中文RSS信息自动检索与分类,从而有效进行RSS信息聚合管理。