This submission includes the presentation and model files that were used in delivering a webinar on 12-15-05 that covered the topic of modeling Hybrid Electric Vehicles.
Hybrid electric vehicles (HEVs) have proven they can substantially improve fuel economy and reduce emissions. Because HEVs combine an electric drive with the internal combustion engine (ICE) in the powertrain, the vehicle?s kinetic energy can be captured during braking and transformed into electrical energy in the battery. The dual power source also means that the ICE can be reduced in size and can operate at its most efficient speeds.
Notepad++ is a generic source code editor (it tries to be anyway) and Notepad replacement written in C++ with the win32 API. The aim of Notepad++ is to offer a slim and efficient binary with a totally customizable GUI.
This book shows how to design and implement C++ software that is more effective: more likely to behave correctly more robust in the face of exceptions more efficient more portable makes better use of language features adapts to change more gracefully works better in a mixed-language environment is easier to use correctly is harder to use incorrectly. In short, software that s just better.
java語(yǔ)言開(kāi)發(fā)的P2P流媒體系統(tǒng)，“Stream-2-Stream implements multicast+, a next generation streaming protocol. Multicast+ is more efficient and requires less bandwidth than direct streaming (e.g. shoutcast/icecast). Stream-2-Stream (abbreviated "s2s" or "S2S") stations have no user limit stations can be set up without paying a fortune for bandwidth. Stream-2-Stream saves bandwidth by passing streams from one peer to another through multicast and unicast p2p, rather than everyone getting a stream from one central server (Shoutcast/Icecast). ”更多：http://s2s.sourceforge.net/about.php
Boosting is a meta-learning approach that aims at combining an ensemble of weak classifiers to form a strong classifier. Adaptive Boosting (Adaboost) implements this idea as a greedy search for a linear combination of classifiers by overweighting the examples that are misclassified by each classifier. icsiboost implements Adaboost over stumps (one-level decision trees) on discrete and continuous attributes (words and real values). See http://en.wikipedia.org/wiki/AdaBoost and the papers by Y. Freund and R. Schapire for more details [1]. This approach is one of most efficient and simple to combine continuous and nominal values. Our implementation is aimed at allowing training from millions of examples by hundreds of features in a reasonable time/memory.
老外的超高效率壓縮，High efficient Data Compression Library for use with Delphi.
Support Rank, ZIP, BZIP and PPM compression algorithms.
Compression ratio more than 1.5-2 times better than ZIP/RAR archiver.
Compression speed up to 8 Mb/sec (on PIII-600).
the attached utility is a work I ve submitted to the university
It shows what a jpeg compression is all about.
the function implements the DCT transform, using a matrix operator.
note that matlab has a function for the DCT and iDCT transforms
that might be more efficient.
