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可以选择中文版操作界面的电子设计自动...书中介绍如何用HQL编写Hibernate查询,如何结合使用Hibernate和基于Java的Criteria与Example。同时还详细介绍Hibernate的映射-Can choose the Chinese version of the electronic design interface automatically ... the book describes how to use Hibernate prepared HQL query, how to combine the use of Hibernate and Java-based Criteria and Example. At the same time, also gave details of Hibernate mapping

Johnson Cook model,abaqus VUMAT(Johnson Cook_VUMAT,abaqus vumat for metals under high velocity impact)

煤矿信息管理系统是基于SuperMap Object，使用 C#语言开发的煤矿信息管理系统 系统主要实现煤矿信息的管理，包括属性数据和图形数据的管理。其中最重要的部分是钻孔数据的管理， 比较理想的解决了钻孔数据的查询、浏览、修改、添加、删除和导出，并着重实现了钻孔剖面示意图的自动绘制， 此外还实现了计算机图件的管理、地图数据集导出、地图输出打印等功能。(Mine information management system is based on SuperMap Object, using the C# Language developed by the Information Management System for Mine realize mine of information systems management, including the attribute data and graphical data management. One of the most important part is the management of borehole data, a more satisfactory solution to the borehole data query, browse, modify, add, delete and export, and focus on the achievement of the drilling section diagram of automatic drawing, in addition to realize a computer management maps, maps derived data sets, maps output printing.)

ARMAX辨识，利用输入输出数据辨识系统模型(ARMAX identification using input and output data to identify)

olen方法，通过增加干扰源进行旁瓣的抑制，使用在与数据相关的阵列信号处理(the olen method,which used for array process assiciated with data, suppress side-lobe level by inserting interface source)

说明：  用N来表示训练用例（样本）的个数，M表示特征数目。 输入特征数目m，用于确定决策树上一个节点的决策结果；其中m应远小于M。 从N个训练用例（样本）中以有放回抽样的方式，取样N次，形成一个训练集（即bootstrap取样），并用未抽到的用例（样本）作预测，评估其误差。 对于每一个节点，随机选择m个特征，决策树上每个节点的决定都是基于这些特征确定的。根据这m个特征，计算其最佳的分裂方式。 每棵树都会完整成长而不会剪枝，这有可能在建完一棵正常树状分类器后会被采用）。(N is used to represent the number of training cases (samples), and M is used to represent the number of features. The number of input features m is used to determine the decision result of a node in the decision tree, where m should be far less than m. From N training cases (samples), n times are sampled in the way of put back sampling to form a training set (i.e. bootstrap sampling), and the unselected cases (samples) are used to predict and evaluate the error. For each node, m features are randomly selected, and the decision of each node in the decision tree is determined based on these features. According to these m characteristics, the best splitting mode is calculated. Each tree will grow completely without pruning, which may be adopted after building a normal tree classifier).)

高斯光束在大气湍流中传输时的相位屏，灰度图及光强变化(phase screen, grayscale map and light intensity change of Gauss beam in atmospheric turbulence)

一個簡單得搶旗子遊戲用上下左右移動WINDOWS GAME(Grab a simple flag games to move up and down)

说明：  沪深股市日收益率的二元copula模型，copula函数的选取 参数估计 深证和上证的尾部相关性(The binary copula model of daily return in Shanghai and Shenzhen stock market, and the selection of Copula function to estimate the tail correlation between Shenzhen stock market and Shanghai Stock Market)

垂直风格带下拉滚动条的Flash图文菜单，那个小圆点可以拖动，拖动后图片列表即向上滚动。