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JPEG image, which is made up of groups of eight-bit bytes that ultimately encode the displayed image Because JPEG is a compression technique, some quality of the original image is lost in the process, although with modern compression algorithms the loss is kept to an absolute minimum Like all bytes, those found in a JPEG image have both a least significant bit and a most significant bit In fact, changing the least significant bit from a one to a zero or vice versa results in no appreciable change to the output image It makes sense, therefore, that someone could write a relatively simple routine to selectively encode the least signficant bit of each byte, collect all of the encoded bits, and group them into an embedded message Make sense Naturally, the larger the image, the more data can be hidden within it.



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Any global application must support requirements of global and diversified user groups with different culture and requirements. Globalization is the application design and development process that incorporates local culture-specific requirements, such as local language support, in the user interface design and support for local numbers, currency, and date formats in the data representation.





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Consider, for example: A 24-bit bitmap that has eight bits representing each of the three primary colors (red, green, and blue RGB) for each pixel The red color alone, represented by eight bits, has 256 possible values (28) The difference between a red value of 01111111 and a red value of 01111110 will be undetectable by the human eye Therefore, the least significant bit can be used for something other than color information If we then encode the green and the blue as well, we will have three encodable bits, which means that three pixels will yield nine bits, one more than is required to encode an eight-bit character So why do we care about this In October 2001, the New York Times claimed that terrorists were using steganographic techniques to encode messages into images (by some acounts, pornographic messages at adult Web sites).

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Trading simulators vary dramatically in such aspects of performance as speed, capacity, and power. Speed is important when there is a need to carry out many tests or perform complex optimizations, genetic or otherwise. It is also essential when developing systems on complete portfolios or using long, intraday data series involving thousands of trades and hundreds of thousands of data points. In some instances, speed may determine whether certain explorations can even be attempted. Some problems are simply not practical to study unless the analyses can be accomplished in a reasonable length of time. Simulator capacity involves problem size restrictions regarding the number of bars on which a simulation may be performed and the quantity of system code the simulator can handle. Finally, the power a simulator gives the user to express and test complex trading ideas, and to run tests and even system optimizations on complete portfolios, can be significant to the serious, professional trader. A fairly powerful simulator is required, for example, to run many of the trading models examined in this book. Speed The most significant determinant of simulation processing speed is the nature of the scripting or programming language used by the simulator, that is, whether the language is compiled or interpreted. Modern optimizing compilers for generic languages, such as Cf f, FORTRAN, and Pascal/Delphi, translate the userwritten source code into highly efficient machine code that the processor can execute directly at full bore; this makes simulator toolkits that use such languages and compilers remarkably fast. On the other hand, proprietary, interpreted languages, such as Microsoft s Visual Basic for Applications and Omega s Easy Language, must be translated and fed to the processor line by line. Simulators that employ interpreted languages can be quite sluggish, especially

While these claims were largely dismissed by security experts, it is certainly a possibility Needless to say, security analysts have created steganalysis tools that can be used to detect and read messages embedded steganographically in images and other file types From a more practical perspective, steganographic techniques can be used to embed important information such as digital watermarks, copyright information, and the like Let s turn our attention now back to our e-mail message..

We have now left the Presentation Layer. Our e-mail message is encrypted, compressed, and may have gone through an ASCII-toEBCDIC code conversion before descending into the complexity of the

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