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Feb 9, 2017 · Download Devanagari OCR for free. Devanagari Optical Character Recognition, Annotation tool. The project has ... Without baseline performance, you're in the dark when trying to optimize database and application performance. With 24/7 monitoring, you... Expand ▾ ... Sanskrit / Hindi - Tesseract OCR Icon.

Given such a position distribution of the sensor network, epidemic modeling of dissemination or broadcast protocols would have to deal with the change in degree distribution dependent on the location of a node in the network 38 EXERCISES 1 How is epidemic modeling in sensor networks different from that used for the Internet 2 What is the basic reproductive number in epidemiology How is it different for scale-free networks from other networks 3 How does a homogeneously mixing population and a heterogeneously mixing one affect the mathematical formulation of the spreading process in epidemiology 4 How does mobility of the network nodes change the mathematical formulation of an epidemic model of the network 5 What are the important parameters that determine the choice between a continuous and a discrete time epidemic model of a network 6.



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where is a real number. Of course, the amplitude of the signal to be transmitted M t must be small in comparison to the chaotic signal. Otherwise, information could be extracted directly from the waveform. The transmitted signal E (Figure 24.6(b)) is chaotic and virtually indistinguishable from that of the chaotic drive (for instance, they both have a similar power spectrum). Therefore, no information can be extracted from the encrypted signal. Then, it is coupled to another chaotic laser (receiver) that is similar to the transmitter. The receiver synchronizes with the chaotic carrier itself Er t Et t . The message can be recovered from the transmitted signal as D t = Et t 2 / Er t 2 1 (Figure 24.6(c)) and





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Rating 3.0

Data structures are usually aligned to the processor s native word-size boundaries. That s because on most systems unaligned memory accesses incur a major performance penalty. The important thing to realize is that even though data structure member sizes might be smaller than the processor s native word size, compilers usually align them to the processor s word size. A good example would be a Boolean member in a 32-bit-aligned structure. The Boolean uses 1 bit of storage, but most compilers will allocate a full 32-bit word for it. This is because the wasted 31 bits of space are insignificant compared to the performance bottleneck created by getting the rest of the data structure out of alignment. Remember that the smallest unit that 32-bit processors can directly address is usually 1 byte. Creating a 1-bit-long data member means that in order to access this member and every member that comes after it, the processor would not only have to perform unaligned memory accesses, but also quite

What are the important issues while epidemic modeling of malware spread in a mobile environment How do the location of a mobile device and the time of the day affect the model.

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a bit of shifting and ANDing in order to reach the correct member. This is only worthwhile in cases where significant emphasis is placed on lowering memory consumption. Even if you assign a full byte to your Boolean, you d still have to pay a significant performance penalty because members would lose their 32-bit alignment. Because of all of this, with most compilers you can expect to see mostly 32-bit-aligned data structures when reversing.

ACKNOWLEDGMENT This work is supported by NSF ITR grant No. IIS-0326505 and Texas ARP grant No. 14-748779. BIBLIOGRAPHY

1 M (a) 0

An array is simply a list of data items stored sequentially in memory. Arrays are the simplest possible layout for storing a list of items in memory, which is probably the reason why arrays accesses are generally easy to detect when reversing. From the low-level perspective, array accesses stand out because the compiler almost always adds some kind of variable (typically a register, often multiplied by some constant value) to the object s base address. The only place where an array can be confused with a conventional data structure is where the source code contains hard-coded indexes into the array. In such cases, it is impossible to tell whether you re looking at an array or a data structure, because the offset could either be an array index or an offset into a data structure.

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