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The basic idea of FEC is to add redundant information to the original packet stream For the cost of marginally increasing the transmission rate of the audio of the stream, the redundant information can be used to reconstruct "approximations" or exact versions of some of the lost packets Following [Bolot 1996] and [Perkins 1998], we now outline two FEC mechanisms The first mechanism sends a redundant encoded chunk after every n chunks The redundant chunk is obtained by exclusive OR-ing the n original chunks [Shacham 1990] In this manner if any one packet of the group of n+1 packets is lost, the receiver can fully reconstruct the lost packet But if two or more packets in a group are lost, ther receiver cannot reconstuct the lost packets By keeping n+1, the group size, small, a large fraction of the lost packets can be recovered when loss is not excessive However, the smaller the group size, the greater the relative increase of the transmission rate of the audio stream In particular, the transmission rate increases by a factor of 1/n; for example, if n=3, then the transmission rate increases by 33% Furthermore, this simple scheme increases the playout delay because the receiver must receive the entire group of packets before it can playout a group (During a talkspurt, the receiver schedules periodic playback of the chunks based on the worst-case scenario - namely, the first packet in a group is lost within some group This requires the receiver to delay playback of each packet for the time it takes to receive an entire group) The second FEC mechanism to send a lower quality audio stream as he redundant information For example, the sender creates a nominal audio stream and a corresponding low-bit rate audio stream (The nominal stream could be a PCM encoding at 64 Kbps and the lower-quality stream could be a GSM encoding at 13 Kbps) The low-bit rate stream is referred to as the redundant stream As shown in Figure 63-2, the sender constructs the nth packet by taking the nth chunk from the nominal stream and appending to it the (n-1)st chunk from the redundant stream In this manner, whenever there is non-consecutive packet loss, the receiver can conceal the loss by playing out the low-bit-rate encoded chunk that arrives with the subsequent packet Of course, low-bit-rate chunks give lower quality than the nominal chunks; but a stream of mostly high-quality chunks, occasional low-quality chunks and no missing chunks gives good overall audio quality Note that in this scheme, the receiver only has to receive two packets before playback, so that the increased playout delay is small Furthermore, if the low-bit-rate encoding is much less than the nominal encoding, then the marginal increase in the transmission rate is small.



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FreeOCR is Optical Character Recognition Software for Windows and ... This framework is included with Windows Vista,7,8 so only may need installing on XP.

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FreeOCR is a free Optical Character Recognition Software for Windows and supports scanning from most Twain scanners and can also open most scanned PDF's and multi page Tiff images as well as popular image file formats. FreeOCR outputs plain text and can export directly to Microsoft Word format.

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Dynamic delay-constrained minimum-energy dissemination in ireless sensor networks ACM Transactions on Embedded Computing Systems, 4(3):679 706, 2005 27 R Benkoczi, H Hassanein, S Akl, and S Tai QoS for data relaying in hierarchical wireless sensor networks In Proceedings of the 1st ACM International Workshop on Quality of Service and Security in Wireless and Mobile Networks, 2005, pp 47 54 28 S Giannecchini, M Caccamo, and C-S Shih Collaborative resource allocation in wireless sensor networks In Proceedings of Euromicro Conference on Real-Time Systems (ECRTS 04), June/July 2004, pp 35 44 29 D Seto, J P Lehoczky, L Sha, and K G Shin On task schedulability in real-time control systems In Proceedings of the 17th IEEE Real-Time Systems Symposium (RTSS 96), December 1996 u 30 Y Tian, E Ekici, and F Ozg ner Energy constrained local task mapping and scheduling in wireless sensor networks.

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In Proceedings of the 1st IEEE International Workshop on Resource Provisioning and Management in Sensor Networks (RPMSN05), November 2005 31 Y Yu and V K Prasanna Energy-balanced task allocation for collaborative processing in wireless sensor networks ACM/Kluwer Journal of Mobile Networks and Applications, 10(1 2):115 131, 2005 u 32 Y Tian, J Boangoat, F Ozg ner, and E Ekici Real-time task mapping and scheduling for collaborative in-network processing in DVS-enabled wireless sensor networks In Proceedings of the IEEE International Parallel and Distributed Processing Symposium, April 2006 33 S Shivle, R Castain, H J Siegel, A A Maciejewski, T Banka, K Chindam, S Dussinger, P Pichumani, P Satyasekaan, W Saylor, D Sendek, J Sousa, J Sridharan, P Sugavanam, and J Velazco Static mapping of subtasks in a heterogeneous ad hoc grid environment In Proceedings of IEEE Parallel and Distributed Processing Symposium, April 2004 34 P Gupta and P R Kumar.

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