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Duplicate copies of the message are then removed from the other members of the support The average delay or communication time of the protocol is given by 2 Q(n/k) + Q(k) l2 (G) where G is the graph, is the second eigenvalue, k is the number in the support, and n is the number of nodes Results derived from an implementation show that only a small number of carriers is required for ef cient communication Chatzigiannakis et al [37] extend the work in reference 36 by presenting a new protocol, called the runners (see Figure 810b), where each carrier performs a random walk sweeping the whole area covered by the network, which is the only difference between the two protocols The authors perform an experimental evaluation and comparison between the snake protocol and the runner s protocol.

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It turns out that the runner s protocol is more ef cient (smaller message delays and memory requirements) and robust than the snake protocol The authors also note that while the snake protocol is resilient only to one carrier failure, the runner protocol is resilient to up to M failures, where M is the number of carriers In DataMules [12], a three-tier architecture is proposed which connects spare sensors at the cost of high latency At the top tier, there are access points or repositoriesRelated: .

The dynamic buffer, of type CBufSeg, is instantiated at the beginning of the TestBuffersL() function by a call to CBufSeg::NewL() A 32-byte block of random data is retrieved from GetRandomDataLC() and inserted into the buffer at position 0, using InsertL() The example also illustrates how to pre-expand the buffer using ExpandL() to allocate extra space in the buffer at the position speci ed (alternatively, you can use ResizeL(), which adds extra memory at the end) These methods are useful if you know there will be a number of insertions into the buffer and you wish to make them atomic xpandL() and ResizeL() perform a single allocation, which may fail, but if the buffer is expanded successfully then data can be added to the array using Write(), which cannot fail This is useful to improve performance, since making a single call which may leave (and thus may need to be called in a TRAP) is far more ef cient than making a number of InsertL() calls, each of which needs a TRAP2 Following the buffer expansion, random data is retrieved and written to the buffer in a series of short blocks The PrintBufferL() function illustrates the use of the Compress(), Size() and Read() methods on the dynamic buffers The Compress() method compresses the buffer to occupy minimal space, freeing any unused memory at the end of a segment for a CBufSeg, or the end of the at contiguous buffer for CBufFlat It s a useful method for freeing up space when memory is low or if the buffer has reached its nal size and cannot be expanded again The example code uses it in PrintBufferL() before calling Size() on the buffer (and using the returned value to allocate a buffer of the appropriate size into which data from Read() is stored) The Size() method returns the number of heap bytes allocated to the buffer, which may be greater than the actual size of the data contained therein, because the contents of the buffer may not ll the total allocated size The call to Compress() before Size() thus retrieves the size of the data contained in the buffer rather than the entire memory size allocated to it To retrieve data from the buffer, you can use the Ptr() function, which returns a TPtr8 for the given buffer position up to the end of the memory allocated For a CBufFlat this returns a TPtr8 to the rest of the buffer, but for CBufSeg it returns only the data from the given position to the end of that segment To retrieve all the data in a segmented buffer using Ptr(), you must use a loop which iterates over every allocated segment Alternatively, as I ve done in PrintBufferL(), the Read() method transfers data from the buffer into a descriptor, up to the length of the descriptor or the maximum length of the buffer, whichever is smaller.

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This chapter discussed the use of the Symbian OS dynamic array lasses, which allow collections of data to be manipulated, expanding as necessary as elements are added to them Unlike C++ arrays, dynamic arrays do not need to be created with a xed size However, if you do know the size of a collection, Symbian OS provides the TFixedArray class to represent a xed-length array which extends simple C++ arrays to provide bounds-checking The chapter described the characteristics and use of the dynamic container classes RArray and RPointerArray and also discussed the CArrayX classes which the RArray classes supersede The RArray classes were introduced to Symbian OS for enhanced performance over the CArrayX classes They have a lower overhead because they do not construct a TPtr8 for each array access, have fewer assertion checks and no leaving methods and are implemented as R classes, which tend to have a lower overhead than C classes The RArray classes also have improved search and sort functionality and should be preferred over CArrayX classes However, the CArrayX classes may still be useful when dealing with variable-length elements or segmented memory, because there are no RArray analogues The chapter also discussed the descriptor array classes, CPtrC8Array and CPtrC16Array, and the dynamic buffers, CBufFlat and CBufSeg All the dynamic array and buffer classes in Symbian OS are based on the thin template idiom (see 19) The use of lightweight templates allows the elements of the dynamic arrays to be objects of any type, such as pointers to CBase-derived objects, or T and R class objects.

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to generate, create usps onecode solution barcode image in I d also, personally, rather make the requested change uring the shoot than nd the client is displeased after the fact Tethering is nally getting much more stable for most camera systems On the Macintosh, the release of Mac OS X 1056 suddenly created a huge improvement in USB bus speed, which had been a major problem with tethering the 1Ds Mark III to a Mac Although the use of Boot Camp and Windows XP remains a viable option, tethering on a Mac through USB is now a workable setup, including the transmission of RAW les, with the proper system and capture software I ve been working with Mac OS X 1056 and Capture One 463, on a MacBook Pro, and RAW les pop up in around two seconds, and fully resolve in four seconds.

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