一类新的圈代数和它的Liouville可积演化方程族

基于Lie代数Aa-1的推广,构造了一类新的圈代数,并设计了一个新的谱问题。然后,利用屠格式获得了一个新的可职系统,并推导出它相应的非线性演化方程族,最后,证明了该演化方程族在Liouville意义下是可积的。     

软起动介绍

例举了传统起动设备存在的问题,介绍了软起动技术工作的原理和分类,从异步电动机起动现状出发介绍了几种软起动类别及应用.     

苹果白兰地生产工艺的研究

采用经试验所筛选的菌种，进行了分批发酵生产苹果白兰地的研究，选择了适宜的培养基配方和蒸馏方案，确定了较佳的生产工艺条件，对生产过程中酵母的分离进行了初步探讨。     

宇宙年龄和宇宙物质密度

根据爱因斯坦广义相对论,时空弯曲,宇宙是有限的。现在已被主流物理学家普遍接受的是标准宇宙论,按标准宇宙论经过严格的数学推导,演算得到了宇宙的年龄、宇宙物质密度。作者根据广大天体物理工作者认可的观察数据和结论,通过初等数学的计算,得到的结果大相径庭。根本没天体物工作者寻找的暗物质。     

关于一类包含Euler函数方程的解

对于任意给定的正整数n，ω（n），表示的所有不同素因子的个数．研究了方程φ（n^2）=2^ω^（n^2）的可解性，并给出了该方程的所有正整数解．     

Cooperative Sensor Anomaly Detection Using Global Information

Sensor networks are deployed in many application areas nowadays ranging from environment monitoring, industrial monitoring, and agriculture monitoring to military battlefield sensing. The accuracy of sensor readings is without a doubt one of the most important measures to evaluate the quality of a sensor and its network. Therefore, this work is motivated to propose approaches that can detect and repair erroneous (i.e., dirty) data caused by inevitable system problems involving various hardware and software components of sensor networks. As information about a single event of interest in a sensor network is usually reflected in multiple measurement points, the inconsistency among multiple sensor measurements serves as an indicator for data quality problem. The focus of this paper is thus to study methods that can effectively detect and identify erroneous data among inconsistent observations based on the inherent structure of various sensor measurement series from a group of sensors. Particularly, we present three models to characterize the inherent data structures among sensor measurement traces and then apply these models individually to guide the error detection of a sensor network. First, we propose a multivariate Gaussian model which explores the correlated data changes of a group of sensors. Second, we present a Principal Component Analysis (PCA) model which captures the sparse geometric relationship among sensors in a network. The PCA model is motivated by the fact that not all sensor networks have clustered sensor deployment and clear data correlation structure. Further, if the sensor data show non-linear characteristic, a traditional PCA model can not capture the data attributes properly. Therefore, we propose a third model which utilizes kernel functions to map the original data into a high dimensional feature space and then apply PCA model on the mapped linearized data. All these three models serve the purpose of capturing the underlying phenomenon of a sensor network from its global view, and then guide the error detection to discover any anomaly observations. We conducted simulations for each of the proposed models, and evaluated the performance by deriving the Receiver Operating Characteristic (ROC) curves.     

SP 3D在硫磺回收项目中的定制与开发应用

采用三维工厂设计系统SP 3D对某硫磺回收装置项目开展布置设计的过程中,通过定制、扩展和二次开发等工作,达到完善设计标准数据库和更加智能化工作的目的。举例介绍了管架数据库扩展、图面定制二次开发和地下管线交叉点报告等工作,展示了专业知识与专业软件的深入结合,可以提升设计效率和降低设计错误,从而提高了工程设计质量。     

Daubechies小波有限元法联系系数计算研究

针对Daubechies小波有限元法的联系系数计算精度不足这一问题,首先推导了Daubechies小波有限元法中常用联系系数的计算公式,分析了导致联系系数计算精度不足的主要原因,并首次尝试将最小二乘法引入Daubechies小波有限元法联系系数的计算中,求解所得超定方程组可得联系系数值。实例结果表明,此法可有效提高Daubechies小波有限元法联系系数的计算精度。     

新生军训管理系统设计

军事训练是大学生入学的第一堂课,也是大学管理的重要组成部分。但目前新生的军训管理工作繁重,效率低下,越来越不能适应军训的需要。为此本文根据面向对象方法和UM L工具,设计出一套新生军训管理系统,一定程度上解决了军训管理工作中存在的问题。     

论英语阅读教学中的提问

文章根据认知的不同层次、阅读理解的不同层次探讨了在阅读教学中,设置不同类型的问题,在不同的教学阶段进行提问,从而调动学生的学习积极性,达到培养阅读能力、提高阅读教学效果的目的.