用socket的Event select方式進(jìn)行 五個(gè)連接數(shù)據(jù)的接收
標(biāo)簽： socket select Event 方式
上傳時(shí)間： 2016-02-29
上傳用戶(hù)：lps11188
Mouse Event API Programing
標(biāo)簽： Programing Mouse Event API
上傳時(shí)間： 2016-03-12
上傳用戶(hù)：tianjinfan
這個(gè)工具集提供以下結(jié)構(gòu)化分析和UML分析中所用的圖形化繪圖工具：ER-diagrams, data and event flow diagrams and state-transition diagrams，class-diagram editor, a use-case diagram editor and an activity diagram editor
標(biāo)簽： state-transition ER-diagrams and diagrams
上傳時(shí)間： 2014-12-09
上傳用戶(hù)：qunquan
VC++進(jìn)程線(xiàn)程實(shí)例：EVENT，MUTEX，MUTITHREAD，PROCESS，SEMAPHORE，THREAD，UITHREAD，WORKERTHREAD
標(biāo)簽： EVENT VC 進(jìn)程 線(xiàn)程
上傳時(shí)間： 2013-12-10
上傳用戶(hù)：chongcongying
SPADES The System for Parallel Agent Discrete Event Simulation(并行agent離散事件仿真系統(tǒng)) 是基于agent的分布式仿真的中間件系統(tǒng)。該文檔詳細(xì)翻譯了SPADES，使讀者可以比較詳細(xì)的了解SPADES。
標(biāo)簽： agent Simulation Parallel Discrete
上傳時(shí)間： 2013-12-10
上傳用戶(hù)：lunshaomo
java網(wǎng)絡(luò)聊天程序 服務(wù)器: import java.awt.* import java.awt.event.* import java.net.* import java.io.* import java.util.*
標(biāo)簽： import java awt event
上傳時(shí)間： 2013-12-25
上傳用戶(hù)：kr770906
Event driver programming
標(biāo)簽： programming driver Event
上傳時(shí)間： 2016-06-05
上傳用戶(hù)：zgu489
excellent event-driven http framework which can be used as a light-http library
標(biāo)簽： event-driven light-http excellent framework
上傳時(shí)間： 2013-12-23
上傳用戶(hù)：wxhwjf
A good sample for key event development. It s very useful
標(biāo)簽： development sample useful event
上傳時(shí)間： 2014-01-03
上傳用戶(hù)：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.
標(biāo)簽： acousticfeatures timeseries generate training
上傳時(shí)間： 2013-12-26
上傳用戶(hù)：牛布牛
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