"... In PAGE 2: ... the ability to reconstruct natural sounding speech at the receiving side. End-to-end delays have a signifi- cant impact on the quality of interactive voice trans- missions, as shown in Table1 [18]. Variation in the network delay experienced by individual packets, i.... In PAGE 3: ... The first packet in a voice stream is artificially delayed at the receiver for the period of the control time in order to buffer sufficient packets to provide for continuous playback in the presence of jitter. Note however, that the the control time cannot be arbitrar- ily large due to constraints on the end-to-end delay (see Table1 ). Since voice data consists of an alternat- ing series of talkspurts and silence periods and since talkspurts are generally isolated from each other by relatively long silence periods [3], voice protocols typ- ically impose the control time on the first packet of each talkspurt.... In PAGE 5: ... We conduct experiments with the simulation model and provide answers to the following questions: How much control time is needed for S-ARQ to ensure a high probability of successful retransmis- sions? Note that the control time at the PVR results in increased end-to-end delays for all packets. How- ever, since voice transmission is sensitive to end- to-end delay (see Table1 ) the control time cannot be increased arbitrarily. ... ..."

"... In PAGE 6: ...2. Results Table2 shows a portion of the end-to-end monitor- ing data collected by the MPs for a certain work unit at a sample run of the experiment. It highlights data col- lected from MPs instrumenting service image list and image retrieve B and omits the service pointers.... In PAGE 6: ... The table shows the work unit was properly classified and monitoring data pertaining to it were correctly corre- lated together in an end-to-end manner. Table2 ac- counts for what platforms and services were involved in processing the work unit and the amount of time spent on each of them. The elapsed time data are calculated using Equation 3.... ..."

"... In PAGE 6: ... In the case of DiskRouter, we did not attempt any tuning as the DiskRouter auto-tune mechanism worked fine for us. Table1 shows the end-to-end performance of data transfers from SRB server to UniTree server with our rudimentary tuning. Comparison of performance of pipeline 1 and pipeline 2 shows the penalty associated with adding a node to the pipeline.... ..."

"... In PAGE 9: ...Table1 summarizes the results: it shows the percentage of correct, exact answers returned by each answer selection module with and without ME-based re-ranking, as well as the percentage of correct, exact answers returned by an end-to-end QA system that uses all three answer selection modules together. Table 1 also shows the performance of these systems in terms of percentage of correct answers ranked in the top 5 answers and the corresponding MRR scores.... In PAGE 9: ...returned by each answer selection module with and without ME-based re-ranking, as well as the percentage of correct, exact answers returned by an end-to-end QA system that uses all three answer selection modules together. Table1 also shows the performance of these systems in terms of percentage of correct answers ranked in the top 5 answers and the corresponding MRR scores. The results in Table 1 show that appropriate weighting of the features used by each answer selection module as well as the ability to capitalize on global features, such as the counts associated with each answer, are extremely important means for increasing the overall performance of a QA system.... In PAGE 9: ... Table 1 also shows the performance of these systems in terms of percentage of correct answers ranked in the top 5 answers and the corresponding MRR scores. The results in Table1 show that appropriate weighting of the features used by each answer selection module as well as the ability to capitalize on global features, such as the counts associated with each answer, are extremely important means for increasing the overall performance of a QA system. ME re-ranking led to significant increases in performance for each answer selection module individually.... In PAGE 10: ... For example, Maximum Entropy naturally integrated additional features into the knowledge- based answer selection module; a significant part of the 9.2% increase in correct answers reported in Table1 can be attributed to the addition of redundancy features, a source of knowledge that was unexploited by the base system. References Bikel, D.... ..."

"... In PAGE 2: ... Coverage and end-to-end per- formance was then determined at a number of docu- ment ranks giving the results shown in Table 1. It should be clear from the results in Table1 that although the best coverage is achieved by considering 1. All of these questions were known to have at least one... ..."

"... In PAGE 10: ... Without loss of generality, assume that the latency caused by data transmission over the network is dependent of audio coding mechanism in use, the main concern would be the latency caused by MP3 encoding and decoding. Figure 6 decomposes the throughout process to let Bob hear Alice talk to him, and for each of the decomposed steps, measured latency is presented in Table2 . Far from our guess that the bigger portion of end-to-end latency would be incurred by using a software encoder instead of hardware one, most (approximately 80%) of the end-to- end latency is introduced by decoding process.... ..."