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10.1 and later), sets the maximum attenuation of noise in decibels. Defaults to 30 dB. The codec attempts to reduce noise below these levels. The most important of these settings are probably the rst two. If the user is too quiet or too loud, use gain to shift the volume into an acceptable range. In Example 33-3, you display the microphone activity while changing gain with the keyboard. A peak light lets you know when the microphone is peaking, or louder than can be digitized. Try using the keyboard to move the gain around until there s no more peaking. EXAMPLE 33-3



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Figure 14.2 Operations conducted in the course of preprocessing of the examined images. At the top is the original image of a pancreatic duct showing symptoms of chronic inflammation. At the bottom, a diagram of the pancreatic duct contours with visible morphological lesions. Analysis of real, and verification of apparent, skeleton ramifications [26,27]. Smoothing the skeleton by averaging its elements [28]. The application of a specially prepared straightening transformation, transforming the external contour of the examined structures in a two-dimensional space to the form of 2D width diagrams, showing contours of the numerically straightened organ. This transformation retains all morphological details of the analyzed structures (in particular their deformations and pathological lesions) [29]. For this reason, it is a convenient starting point for further analysis of the properties of shape features of the analyzed structure and for detecting such deformations (with the use of syntactic methods of image recognition). This constitutes the basis for an automatic understanding of the nature of pathological lesions, and for a diagnosis of the disease under consideration. Recognition and automatic understanding of the looked-for lesions of organ shapes with the use of syntactic methods of image recognition [30] is possible with a prior application of the specified sequence of operations, which together constitute the previously mentioned image preprocessing stage. Details relating to individual stages of preprocessing of the analyzed images were discussed at length in the above-quoted publications of the authors. These stages have also been specified in Figure 14.2.





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package { import flash.display.*; import flash.events.*; import flash.media.*; import flash.system.*; import flash.text.*; import flash.ui.Keyboard; public class ch33ex3 extends Sprite { protected var mic:Microphone; protected var levelMeter:Shape; protected var peak:Shape; protected var gainTF:TextField; public function ch33ex3() { mic = Microphone.getMicrophone(); //you can t see any activity without loopback being on mic.setLoopBack(true); //but loopback is annoying, so mute it! mic.soundTransform = new SoundTransform(0); gainTF = new TextField(); gainTF.autoSize = TextFieldAutoSize.LEFT;

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As mentioned above, when Wang s team initially revealed an AID5 collision, t,hey provided virtually no information on how the collision was obtained. This led Hawkes, Paddon, and R.ose [64] to do some extremely detailed detective work, based entirely on the one published collision. This work is interesting in its own right, but it is also significant since the most efficient a.tt,acksare based on this work, not on the limited details provided by Wang. Amazingly, this reverse engineering effort discovered iiseful information on the computational part, of the attack that was apparently unknown to Wang s teairi. In addition, this analysis provides the best hope of obtaining additional insight into the constriiction of output differentials. In 1641, the authors began with the only MD5 collision known at that timc, and carefully analyzed the intermediate values (the outputs) that are generated when these two inputs are hashed. By carefully analyzing the differential conditions at each step, they werct able to derive conditions on the the outputs and thereby obhiri a set of conditions that, if satisfied, will yield

EXAMPLE 33-3

(continued)

a collision. Remarkably, this reverse-engineering work is the basis for all of the fast MD5 collision attacks developed to date. Here, we only consider the first few steps for the first message block Ado.

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