Shape blending of artistic brushstroke represented by disk B-spline curves

This paper presents an algorithm for automatically generating in-between frames of two artistic brushstrokes. The basic idea of the algorithm is to represent the two key frames of artistic brushstrokes in disk B-spline curves, and then make blending of their geometric intrinsic variables. Given two key frames of artistic brushstrokes, the skeleton curves can be obtained by certain skeleton-based techniques. After disk B-spline representation of the key frames is generated, interpolation of the intrinsic variables of the initial and the target disk B-spline curves is carried out. Examples show that this method can efficiently create in-between frames of artistic brushstrokes.     

正态常相关样本的抽样分布和方差分析

本文指出了曹胜炎等［１］论文中的一些结论在ＲａｏＣ．Ｒ［２］文中已有论述，并且采用更为简捷的方法证明了文［１］的定理。另外，给出了常相关样本的方差分析。     

基于DS18B20的数字式测温计设计

讨论了用C8051F320单片机和DS18B20单总线数字测温传感器,来设计数字式测温计的方法.完全利用单总线技术线路简单、硬件开销少、成本低廉、软件设计简单的优点,较好地解决了传统测温仪器普遍存在的携带不便、易损坏、易受腐蚀、易受电磁干扰等不足.可应用于对温度测量要求高可靠度、高精度、高智能化的HVAC环境控制等领域.     

浅析CSL160B系列保护装置中重合闸启动方式

以CSL160B系列数字式保护装置中重合闸启动方式为例,分析了此种启动方式和常规的重合闸启动方式的不同,探讨了存在的问题,并提出了解决办法。     

基于短信息平台的教务信息查询系统研发

介绍短信息查询系统的原理、设计和实现。本系统利用Java通信事件机制，以PDU模式接收短信并解码，把符合查询条件的短信传递给数据库操作线程，经处理后的结果利用管道流技术传递给短信息发送线程，然后以Text模式发送短信息。     

热力学分析在连续镀锌过程中的应用

热力学分析结合相图研究可用于解决生产实际问题。在连续镀锌过程中，锌液中铝是一种很重要的添加元素。它对镀锌质量有直接的影响。但锌池中铝含量的测量与控制还存在困难。在对Fe-Zn-Al三元体系Fe溶解度曲线的热力学分析的基础上，用Matlab编制了事家图形用户界面的程序，把热力学分析应用于计算锌池中的有效铝含量，将有助于热镀锌工业实现对铝含量的控制。     

Modeling and Forecasting the Yield Curve by an Extended Nelson‐Siegel Class of Models: A Quantile Autoregression Approach

This paper compares the in‐sample fitting and the out‐of‐sample forecasting performances of four distinct Nelson–Siegel class models: Nelson–Siegel, Bliss, Svensson, and a five‐factor model we propose in order to enhance the fitting flexibility. The introduction of the fifth factor resulted in superior adjustment to the data. For the forecasting exercise the paper contrasts the performances of the term structure models in association with the following econometric methods: quantile autoregression evaluated at the median, VAR, AR, and a random walk. As a pattern, the quantile procedure delivered the best results for longer forecasting horizons. Copyright © 2011 John Wiley & Sons, Ltd.     

Forecasting Ability of a Periodic Component Extracted from Large‐Cap Index Time Series

We develop a method to extract periodic variations in a time series that are hidden in large non‐periodic and stochastic variations. This method relies on folding the time series many times and allows direct visualization of a hidden periodic component without resorting to any fitting procedure. Applying this method to several large‐cap stock time series in Europe, Japan and the USA yields a component with periodicity of 1 year. Out‐of‐sample tests on these large‐cap time series indicate that this periodic component is able to forecast long‐term (decade) behavior for large‐cap time series. Copyright © 2016 John Wiley & Sons, Ltd.