Two functions, num2bin and bin2num are provided. num2bin takes a double and converts it to a binary string representation. bin2num is its inverse operation. It can be used in a numerical analysis course when floating point arithmetic is discussed.
An approach to reengineer BASIC PC legacy code into modern graphical systems is proposed.BASIC peculiarities are presented and discussed, with preliminary results on code translation.
Java Regex Primer Since version 1.4, Java has had support for Regular Expressions in the core API. Java Regex follows the same basic principles used in other languages, just withdi erent access methods, and some subtledi erences with the patterns. This primer is aimed towards developers already familiar with regex in other languages wanting a brief outline of its support in Java. It may also be beneficial to developers learning regex if used in conjunction with detailed documentation explaining the construction of regex patterns. Reading the javadoc forjava.util.regex. Pattern is a must to see how the Java regex patterns aredi erent from other languages such as Perl. Most of the functions discussed herin are from thejava.util.regex. Matcher class with a few fromjava.util.regex. Pattern. Reading this text in conjunction with the javadoc of those classes is advised.
Cypress Semiconductor makes a variety of PLL-based clock
generators. This application note provides a set of recommendations
to optimize usage of Cypress clock devices in a
system. The application note begins with recommended termination
techniques for clock generators. Subsequently, power
supply filtering and bypassing is discussed. Finally, the application
note provides some recommendations on board
layout.
The development of a data acquisition card based on USB bus is introduced in this article.It first describes the configuration and principle of this card in the part of hardware design,and then the application program and device driver in the part of software design.Data acquisition program in firmware is also discussed.Finally,this data acquisition card is tested and evaluated in a program developed by Lab Windows CVI,which shows that this car is stable and reliable
The first edition of this book ranks among the small (very small) number of books that I credit with significantly elevating my skills as a professional software devel-oper. Like the others, it was practical and easy to read, but loaded with important advice. Effective C++, Third Edition, continues that tradition. C++ is a very powerful programming language. If C gives you enough rope to hang yourself, C++ is a hard-ware store with lots of helpful people ready to tie knots for you. Mastering the points discussed in this book will definitely increase your ability to effectively use C++ and reduce your stress level.
模式識別學習綜述.該論文的英文參考文獻為303篇.很有可讀價值.Abstract— Classical and recent results in statistical pattern
recognition and learning theory are reviewed in a two-class
pattern classification setting. This basic model best illustrates
intuition and analysis techniques while still containing the essential
features and serving as a prototype for many applications.
Topics discussed include nearest neighbor, kernel, and histogram
methods, Vapnik–Chervonenkis theory, and neural networks. The
presentation and the large (thogh nonexhaustive) list of references
is geared to provide a useful overview of this field for both
specialists and nonspecialists.
Abstract：It惴 described systematically the architecture and function of the software of Railway Auto-ticketing System as well as its charac—
ter~tic and demand。Analysized the 8oftware middleware and messaged oriented middleware(MOM)，discussed the feasibility of the app~cation 0f
JWMQ in the Railway Auto-ticketing System．
This research project evaluates startup times of the linux boot process from power-on until user login.
Time consuming parts of the boot process are investigated and methods how to speed up the whole
process are discussed.
Recent advances in experimental methods have resulted in the generation
of enormous volumes of data across the life sciences. Hence clustering and
classification techniques that were once predominantly the domain of ecologists
are now being used more widely. This book provides an overview of these
important data analysis methods, from long-established statistical methods
to more recent machine learning techniques. It aims to provide a framework
that will enable the reader to recognise the assumptions and constraints that
are implicit in all such techniques. Important generic issues are discussed first
and then the major families of algorithms are described. Throughout the focus
is on explanation and understanding and readers are directed to other resources
that provide additional mathematical rigour when it is required. Examples
taken from across the whole of biology, including bioinformatics, are provided
throughout the book to illustrate the key concepts and each technique’s
potential.
