DSC（Data Service Center）用來接收和處理DTU發(fā)送過來的數(shù)據(jù)；窗口顯示當(dāng)前登錄到DSC的DTU的信息，包括該DTU的電話號碼、IP地址和端口；窗口2顯示當(dāng)前用短信呼叫DSC請求上線的DTU的電話號碼隊(duì)列，系統(tǒng)會自動處理該隊(duì)列，也可選擇手工處理.
標(biāo)簽： DSC DTU Service Center
上傳時(shí)間： 2015-10-13
上傳用戶：372825274
penMesh is a generic and efficient data structure for representing and manipulating polygonal meshes. OpenMesh is developed at the Computer Graphics Group, RWTH Aachen , as part of the OpenSGPlus project, is funded by the German Ministry for Research and Education ( BMBF), and will serve as geometry kernel upon which the so-called high level primitives (e.g. subdivision surfaces or progressive meshes) of OpenSGPlus are built. It was designed with the following goals in mind : Flexibility : provide a basis for many different algorithms without the need for adaptation. Efficiency : maximize time efficiency while keeping memory usage as low as possible. Ease of use : wrap complex internal structure in an easy-to-use interface.
標(biāo)簽： manipulating representing and efficient
上傳時(shí)間： 2015-10-14
上傳用戶：米卡
fit programme for a serials of data
標(biāo)簽： programme serials data fit
上傳時(shí)間： 2013-12-17
上傳用戶：225588
Input/Data Acquisition System Design for Human Computer Interfacing
標(biāo)簽： Acquisition Interfacing Computer Design
上傳時(shí)間： 2013-12-31
上傳用戶：sardinescn
A Simple Fuzzy Classifier based on Inconsistency Analysis of Labeled Data
標(biāo)簽： Inconsistency Classifier Analysis Labeled
上傳時(shí)間： 2013-12-26
上傳用戶：libenshu01
一. 本版本數(shù)據(jù)庫中附帶了防止下載. 1、數(shù)據(jù)庫默認(rèn)為075518shopdata.asp 數(shù)據(jù)庫路徑為data/075518shopdata.asp 2、如需重命名數(shù)據(jù)庫名字，同時(shí)需要修改conn.asp和admin/conn.asp文件中的數(shù)據(jù)庫連接地址 3、另外，如數(shù)據(jù)庫更改后備份數(shù)據(jù)庫的地址也是一個(gè)很重要的問題，很多朋友都沒修改默認(rèn)的數(shù)據(jù)庫目錄和名稱，所以在執(zhí)行備份前后請一定要注意備份目錄中是否用了默認(rèn)數(shù)據(jù)庫名備份！
標(biāo)簽： shopdata 075518 asp 數(shù)據(jù)庫
上傳時(shí)間： 2014-01-04
上傳用戶：xzt
(Principles of Data Mining )本書,為數(shù)據(jù)挖掘中很經(jīng)典的一本專著.介紹了數(shù)據(jù)挖掘算法及其應(yīng)用所依賴的基本原理,系統(tǒng)講座了如何構(gòu)建求解特定問題的不同算法等
標(biāo)簽： Principles Mining Data of
上傳時(shí)間： 2015-10-23
上傳用戶：qiaoyue
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic method of increasing the height-to-width ratio of the cluster histogram, we develop a novel algorithm – CLOPE, which is very fast and scalable, while being quite effective. We demonstrate the performance of our algorithm on two real world
標(biāo)簽： data transactional categorical clustering
上傳時(shí)間： 2015-10-24
上傳用戶：evil
Data structures with C++ second edition source code.
標(biāo)簽： structures edition second source
上傳時(shí)間： 2015-10-26
上傳用戶：熊少鋒
Sobel--Image Filter (I). An Image filtering is made over data loaded into the on board RAM and presented on a VGA monitor.zip
標(biāo)簽： Image filtering Filter loaded
上傳時(shí)間： 2013-12-22
上傳用戶：邶刖
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