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嵌入式/单片机编程 lwIP is a small independent implementation of the TCP/IP protocol suite that has been developed by
lwIP is a small independent implementation of the TCP/IP protocol
suite that has been developed by Adam Dunkels at the Computer and
Networks Architectures (CNA) lab at the Swedish Institute of Computer
Science (SICS).
人工智能/神经网络 a thesis about artificial intelegence
a thesis about artificial intelegence
其他书籍 A datasheet for DW8051 high performance 8051
A datasheet for DW8051 high performance 8051
汇编语言 Base64 demonstrates how easy it is to decipher plaintext usernames and passwords. Never login to a
Base64 demonstrates how easy it is to decipher
plaintext usernames and passwords. Never login to a public network resource
unless some type of encryption is being used, secure socket layer is one example.
Most FTP sites also use plaintext passwords.
汇编语言 This is an example how one could hide a process on Windows based operation systems from task viewer
This is an example how one could hide a process on Windows based
operation systems from task viewers like ProcDump (G-RoM, Lorian
& Stone) or ProcessExplorer (SysInternals).
It could e.g. be used as some kind of dump protection.
The way to get this done is very different on NT and 9x machines.
汇编语言 This a simple compressor based on aplib, yoda s Kernel code, and my own stuffing around. It only ha
This a simple compressor based on aplib, yoda s Kernel code, and my own
stuffing around. It only has one function with MANY limitations at the moment,
but it is desinged for demo purposes only so it don t matter.
汇编语言 He was the first one (I noticed of) who coded a decrypter for yC 1.2 :)...good job. Also if it hasn
He was the first one (I noticed of) who coded a
decrypter for yC 1.2 :)...good job. Also if it hasn t
full support yet >:-)
So as I promised...here s the source code.
I hope it helps someone.
其他 全国交通咨询模拟 一、程序界面 A.关于程序 B. 程序的使用 ...
全国交通咨询模拟
一、程序界面
A.关于程序
B. 程序的使用
...
其他 this a tank game.
this a tank game.
人工智能/神经网络 X(t)=Asin(2*pi *f *t+ q)+n(t) 估计其中的参数为A
X(t)=Asin(2*pi *f *t+ q)+n(t)
估计其中的参数为A,f, q。n(t)为随机噪声,服从正态分布。
其他的具体见附件中的程序