用socket的EVENT select方式进行 五个连接数据的接收
上传时间： 2016-02-29
上传用户：lps11188
Mouse EVENT API Programing
标签： Programing Mouse EVENT API
上传时间： 2016-03-12
上传用户：tianjinfan
这个工具集提供以下结构化分析和UML分析中所用的图形化绘图工具：ER-diagrams, data and EVENT flow diagrams and state-transition diagrams，class-diagram editor, a use-case diagram editor and an activity diagram editor
标签： state-transition ER-diagrams and diagrams
上传时间： 2014-12-09
上传用户：qunquan
VC++进程线程实例：EVENT，MUTEX，MUTITHREAD，PROCESS，SEMAPHORE，THREAD，UITHREAD，WORKERTHREAD
上传时间： 2013-12-10
上传用户：chongcongying
SPADES The System for Parallel Agent Discrete EVENT Simulation(并行agent离散事件仿真系统) 是基于agent的分布式仿真的中间件系统。该文档详细翻译了SPADES，使读者可以比较详细的了解SPADES。
标签： agent Simulation Parallel Discrete
上传时间： 2013-12-10
上传用户：lunshaomo
java网络聊天程序 服务器: import java.awt.* import java.awt.EVENT.* import java.net.* import java.io.* import java.util.*
上传时间： 2013-12-25
上传用户：kr770906
EVENT driver programming
标签： programming driver EVENT
上传时间： 2016-06-05
上传用户：zgu489
excellent EVENT-driven http framework which can be used as a light-http library
标签： EVENT-driven light-http excellent framework
上传时间： 2013-12-23
上传用户：wxhwjf
A good sample for key EVENT development. It s very useful
标签： development sample useful EVENT
上传时间： 2014-01-03
上传用户：CHENKAI
* acousticfeatures.m: Matlab script to generate training and testing files from EVENT timeseries. * afm_mlpatterngen.m: Matlab script to extract feature information from acoustic EVENT timeseries. * extractEVENTs.m: Matlab script to extract EVENT timeseries using the complete run timeseries and the ground truth/label information. * extractfeatures.m: Matlab script to extract feature information from all acoustic and seismic EVENT timeseries for a given run and set of nodes. * sfm_mlpatterngen.m: Matlab script to extract feature information from esmic EVENT timeseries. * ml_train1.m: Matlab script implementation of the Maximum Likelihood Training Module. ?ml_test1.m: Matlab script implementation of the Maximum Likelihood Testing Module. ?knn.m: Matlab script implementation of the k-Nearest Neighbor Classifier Module.
标签： acousticfeatures timeseries generate training
上传时间： 2013-12-26
上传用户：牛布牛
