The flpydisk sample is a floppy driver that resides in the directory \\Ntddk\Src\Storage\Fdc\Flpydsk. It is similar to a class driver in that it sits a level above the floppy disk controller in the driver stack, and brokers communication between the application level and the low-level driver. The floppy driver takes commands from the application and then calls routines in the controller which will in turn perform the actual interaction with the device. The sample compiles in 64-bit, but has not been tested in this environment. It is compatible with x86 and Alpha platforms.
gperiodic is a program for browsing the periodic table and looking up data for different elements. It also features a non-graphical interface. gperiodicOrb是一個瀏覽元素周期表和查詢不同元素的數據的程序。它有一個非圖形化的界面。
3 pairs of sample codes for basic net apps: . Socket server/client . start the server first . DatagramSocket . start MyDatagramSocketA first . MyDatagramSocketA receive a packet first, and then send a reply MyDatagramSocketA send a packet first, and then receive a reply. . Multicast sender/receiver . start the receiver first
How to run: 1. compile Callback.java 2. compile the native code into a shared lib cl /Ie:\j2sdk1.4.0\include /Ie:\j2sdk1.4.0\include\win32 /LD /FeMyImpOfCallback.dll Callback.c 3. run: java Callback
手機文件瀏覽器 Here are the sources to SMan v1.2c 1.2 is a major jump from v1.1. You will see this from the way the code has been restructured into multiple files. It also supports flip closed. However, to my chagrin, I made the mistake of assuming there will only be one flip closed view. :( That s changed in v1.3 :) 1.3 supports multiple flip closed views that can be easily added into SMan.
The ICA/BSS algorithms are pure mathematical formulas, powerful, but rather mechanical procedures: There is not very much left for the user to do after the machinery has been optimally implemented. The successful and efficient use of the ICALAB strongly depends on a priori knowledge, common sense and appropriate use of the preprocessing and postprocessing tools. In other words, it is preprocessing of data and postprocessing of models where expertise is truly ne
