The VGA example generates a 320x240 diffusion-limited-aggregation (DLA) on Altera DE2 board. A DLA is a clump formed by sticky particles adhering to an existing structure. In this design, we start with one pixel at the center of the screen and allow a random walker to bounce around the screen until it hits the pixel at the center. It then sticks and a new walker is started randomly at one of the 4 corners of the screen. The random number generators for x and y steps are XOR feedback shift registers (see also Hamblen, Appendix A). The VGA driver, PLL, and reset controller from the DE2 CDROM are necessary to compile this example. Note that you must push KEY0 to start the state machine.
The literature of cryptography has a curious history. Secrecy, of course, has always played a central
role, but until the First World War, important developments appeared in print in a more or less
timely fashion and the field moved forward in much the same way as other specialized disciplines.
As late as 1918, one of the most influential cryptanalytic papers of the twentieth century, William F.
Friedman’s monograph The Index of Coincidence and Its Applications in Cryptography, appeared as
a research report of the private Riverbank Laboratories [577]. And this, despite the fact that the work
had been done as part of the war effort. In the same year Edward H. Hebern of Oakland, California
filed the first patent for a rotor machine [710], the device destined to be a mainstay of military
cryptography for nearly 50 years.
Please read this document before attempting to compile and run the libraries and applications! The projects
must be compiled in a particular order. Standard support questions are about compiler and/or linker errors
that are generated when users try to compile the projects in the wrong order. Other information of interest
is available here, so read the entire document fi rst.
Wild Magic Version 2.1 is what ships with the fi rst printing of the Game Physics book. Some of the
applications that are referenced in the book did not make it onto the CD–ROM for the book. Version 2.2
contains those applications, plus more
本人大二學習匯編語言程序設計時的全部源代碼，均已經編譯通過生成可執行文件，每個目錄是一個程序。希望對學習匯編語言的同志有所幫助。-my sophomore year learning assembly language programming at all the source code, have already generated by compiler executable files, each directory is a process. Want to learn assembly language comrades help.
state of art language modeling methods:
An Empirical Study of Smoothing Techniques for Language Modeling.pdf
BLEU, a Method for Automatic Evaluation of Machine Translation.pdf
Class-based n-gram models of natural language.pdf
Distributed Language Modeling for N-best List Re-ranking.pdf
Distributed Word Clustering for Large Scale Class-Based Language Modeling in.pdf
This function calculates Akaike s final prediction error
％ estimate of the average generalization error for network
％ models generated by NNARX, NNOE, NNARMAX1+2, or their recursive
％ counterparts.
％
％ [FPE,deff,varest,H] = nnfpe(method,NetDef,W1,W2,U,Y,NN,trparms,skip,Chat)
％ produces the final prediction error estimate (fpe), the effective number
％ of weights in the network if it has been trained with weight decay,
％ an estimate of the noise variance, and the Gauss-Newton Hessian.
％
基于C++闡述虛擬機編程原理
This guide provides an in-depth look at the construction and underlying theory of a fully functional virtual machine and an entire suite of related development tools.
In this paper, we describe the development of a rapidly reconfigurable system in which the users’ tacit knowledge and requirements are
elicited via a process of Interactive Evolution, finding the image processing parameters to achieve the required goals without any need for
specialised knowledge of the machine vision system. We show that the resulting segmentation can be quickly and easily evolved from
scratch, and achieves detection rates comparable to those of a hand-tuned system on a hot-rolled steel defect recognition problem.
