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Table 4. Proposed Strategies to Improve Hand Washing Technique and Complianc e
"... In PAGE 9: ... . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Table4 . Proposed Strategies to Improve Hand Washing Technique and Compliance .... In PAGE 16: ... It may also be due to real or perceived obstacles , such as understaffing, inconveniently located hand washing facilities, an unacceptable hand washing product or dermatitis caused by previous hand washing. A number of strategies have been suggested to improv e compliance ( Table4 ). Long-term success will require development of programs and sustained efforts a t promoting compliance with hand washing.... ..."
Table 1 : the rating system for evaluation
Table 1. Average Workload Rating by System
1999
"... In PAGE 22: ... An example demonstrating the use of an ANOVA is to consider the baseline measure of the average workload for the terminal controller. Table1 contains the means for this measure across the four sectors in the 27/22L runway configuration and shows these means and hypothetical means for a future system. Figure 2 depicts these means.... ..."
Table 3: Means of rating the system feedback
Table 2. Execution rates for System C
"... In PAGE 5: ...Groups P, Q, R, and S, consist of 10 machines, 9 machines, 6 machines, and 5 machines, respectively. As Table2 shows, the groups vary in performance. For instance, a machine in group P is twice as fast as a machine in group S on tasks of class 1, however, for tasks of class 2, the opposite is true.... ..."
Table 4: Comparison of word error rates for systems with different numbers of parameters
1998
"... In PAGE 5: ... Since the greater robustness of Gaussian merging would be more evident in much larger sys- tems, we trained an HMM system with 2027 Genones and 32 Gaussians per Genone, using both the old training approach and the new approach (Gaussian splitting until each Genone has 32 Gaussians, followed by iterative Gaussian merging with a merging threshold of 50 frames). Table4 shows the word error rates for this system, along with the corresponding word error rates for the smaller, 991-Genone system. From this table, we see that for both the Gaussian splitting and merging and old training algorithms, the word error rate was higher with the larger system (2027 Genones).... ..."
Cited by 7
Table 4: Comparison of word error rates for systems with different numbers of parameters
"... In PAGE 5: ... Since the greater robustness of Gaussian merging would be more evident in much larger sys- tems, we trained an HMM system with 2027 Genones and 32 Gaussians per Genone, using both the old training approach and the new approach (Gaussian splitting until each Genone has 32 Gaussians, followed by iterative Gaussian merging with a merging threshold of 50 frames). Table4 shows the word error rates for this system, along with the corresponding word error rates for the smaller, 991-Genone system. From this table, we see that for both the Gaussian splitting and merging and old training algorithms, the word error rate was higher with the larger system (2027 Genones).... ..."
Table 1: Rate coupling functions (k vehicles) rateCouple User Rate System Rate
2006
"... In PAGE 3: ...11, each vehicle has an equal oppor- tunity to transmit at its intrinsic rate ru, resulting in per- packet fairness. Therefore, each vehicle is allocated the har- monic mean of the intrinsic rates of all k vehicles in range, as shown by the equation in the first row of Table1 . The ef- fective system throughput is therefore k times the individual throughputs.... In PAGE 4: ...j1...rjk which are coupled using the rateCouple function, which depends on the MAC scheduling scheme used (see Table1 ). The nested summations are chosen so that no two subscripts are the same because a chosen slot cannot contain more than one vehicle.... ..."
Cited by 5
Table 3. Adaptive-rate system performance versus strategy.
"... In PAGE 3: ... This is accomplished by choosing the optimal trade-off between distortion due to channel bit errors with the distortion due to a lower speech encoding rate. Table3 shows the performance of the adaptive-rate system and the strategies that produce the best overall performance in AWGN and Rayleigh channels, resulting in lower overall system complexity. An improvement of 3 dB is found for AWGN, while similar performance is demonstrated for Rayleigh slow fading.... ..."
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