Javascript Browser Sniffer is a library for identifying which browser and operating system the visitor is using, including the version number. It also detects bots and the Flash plugin
W2kPrintDrvSample
Feature
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* Support two page directions, portrait and landscape
* Support just one page size, A4
* Support two resolutions, 200 x 200 and 100 x 100 dpi
* Support two color mode, color(24bpp) and monochrom
* Support halftoning in monochromatic mode
* Support color identifying(7 colors)
* Support type identifying(3 types)
...
Usage
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* 在monochromatic mode下，可以通過設(shè)置黑色的輸出類型來控制輸出
* 在color mode下，可以通過設(shè)置各個(gè)顏色的輸出類型來控制輸出，7種
顏色以外的顏色都作為黑色來識別
* 在輸出多頁文件時(shí)，可以分別指定每頁的輸出文件名，也可以使用自動(dòng)
添加頁號的功能
...
Known Problems
==============
Developer Notes
===============
* 在windows ddk 命令行環(huán)境下編譯
參考步驟：
1. 將W2kPrintDrv解壓至DDK安裝目錄
2. 執(zhí)行“開始”菜單->Developement Kits->Windows 2000 DDK->Checked Build Enviroment
3. 在命令行環(huán)境輸入
> cd W2kPrintDrv
> build
Author
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terrificskyfox <terrificskyfox@yahoo.com.cn>
This handbook is a concise guide to architecting, designing, and building J2EE applications. It guides technical architects through the entire J2EE project, including identifying business requirements, performing use-case analysis, doing object and data modeling, and leading a development team through construction. Whether you are about to architect your first J2EE application or are looking for ways to keep your projects on-time and on-budget, you will refer to this handbook again and again.
This program would work fine only with a specific flash tool through PC printer port under EPP mode.Program is capable of identifying flash chip manufacturer, device type, capacity,... It also allows user to dump flash data, edit/revise the content of flash chip on the Screen, and re-write them back to the chip.
In communication systems channel poses an important role. channels can convolve many different kind of distortions to our information. In perticular wireless channels multipath distortion is sevear.
and more sevear is such distortion is random.
To handle this, multipath affected channels require Equalizers at receaver end.
such equalizer uses different learning Algorithms for identifying channels continuously.
This project is VHDL implementation of LMS learning algorithm with pipelined architecture. so this implementation can work with higher data rates with less clock speed requirments and so with less power consumpiton
It uses Fixed point arithmatic blocks for filtering so suitable for coustom asic.
卡耐基.梅隆大學(xué)的牛發(fā)寫的關(guān)于孤立點(diǎn)和數(shù)據(jù)清洗的文章，全英文，2003年完成，Probabilistic Noise Identification and Data Cleaning，Real world data is never as perfect as we would like it
to be and can often suffer from corruptions that may impact
interpretations of the data, models created from the
data, and decisions made based on the data. One approach
to this problem is to identify and remove records that contain
corruptions. Unfortunately, if only certain fields in a
record have been corrupted then usable, uncorrupted data
will be lost. In this paper we present LENS, an approach for
identifying corrupted fields and using the remaining noncorrupted
fields for subsequent modeling and analysis.
The term “ smart grid ” defi nes a self - healing network equipped with dynamic optimiza-
tion techniques that use real - time measurements to minimize network losses, maintain
voltage levels, increase reliability, and improve asset management. The operational data
collected by the smart grid and its sub - systems will allow system operators to rapidly
identify the best strategy to secure against attacks, vulnerability, and so on, caused by
various contingencies. However, the smart grid fi rst depends upon identifying and
researching key performance measures, designing and testing appropriate tools, and
developing the proper education curriculum to equip current and future personnel with
the knowledge and skills for deployment of this highly advanced system.
In modern societies, the production and trade of goods all around the world is
constantly increasing. The latest technological achievements allow the
mass-production of millions of items of every kind, which are being exchanged all
around the globe with unprecedented rapidity. At the same time, the problem of
identifying, classifying and tracking such a growing multitude of objects is con-
sequently arising.
