This C++ code example provides a method for transferring objects or chunks of data from one device to another via the Bluetooth OBEX protocol. These chunks are typically files or other blocks of binary data. This example demonstrates how to run OBEX on top of the Bluetooth RFCOMM protocol, but OBEX can also be used with other transport media, such as IrDA and USB.
標(biāo)簽： transferring provides example objects
上傳時(shí)間： 2015-12-02
上傳用戶：13160677563
this come from alter ,you can look and find it on line.
標(biāo)簽： alter this come from
上傳時(shí)間： 2013-12-15
上傳用戶：baitouyu
this come from alter ,you can look and find it on line about USB
標(biāo)簽： alter about this come
上傳時(shí)間： 2015-12-03
上傳用戶：三人用菜
this come from alter ,you can look and find it on line about jtag.
標(biāo)簽： alter about this come
上傳時(shí)間： 2014-01-26
上傳用戶：q123321
this come from alter ,you can look and find it on line about h263.
標(biāo)簽： alter about this come
上傳時(shí)間： 2015-12-03
上傳用戶：ve3344
Graphviz - Graph Drawing Programs from AT&T Research and Lucent Bell Labs See doc/build.html for prerequisites and detailed build notes.
標(biāo)簽： Graphviz Programs Research Drawing
上傳時(shí)間： 2015-12-04
上傳用戶：shinesyh
SVMcfg: Learns a weighted context free grammar from examples. Training examples (e.g. for natural language parsing) specify the sentence along with the correct parse tree. The goal is to predict the parse tree of new sentences.
標(biāo)簽： examples e.g. weighted Training
上傳時(shí)間： 2014-07-26
上傳用戶：zsjzc
SVMhmm: Learns a hidden Markov model from examples. Training examples (e.g. for part-of-speech tagging) specify the sequence of words along with the correct assignment of tags (i.e. states). The goal is to predict the tag sequences for new sentences.
標(biāo)簽： examples e.g. part-of-speech Training
上傳時(shí)間： 2015-12-05
上傳用戶：gyq
From the point of view of quality management, it is an important issue to reduce the transmission time in the network. The quickest path problem is to 6ndthe path in the network to senda given amount of data from the source to the sink such that the transmission time is minimized.
標(biāo)簽： transmission management the important
上傳時(shí)間： 2013-12-19
上傳用戶：nairui21
The concept of Adaptive Memory coupled with advances in neighborhood structures derived from dynamic and adaptive search constructions have been the source of numerous important developments in metaheuristic optimization throughout the last decade.
標(biāo)簽： neighborhood structures Adaptive advances
上傳時(shí)間： 2015-12-05
上傳用戶：784533221
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