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Table 2: Forecast emissions from Heathrow airport in 2016, with and without Terminal 5 (tonnes per year)

in funded by The Ashden Trust.
by John Whitelegg, Nick Williams, Professor John Whitelegg, School Of The, Chris Evans
"... In PAGE 14: ... Taking an area around Heathrow of 8km by 6km, the following percentages of pollutants in the atmosphere could be attributed to the airport: 59% of nitrogen oxides; 76% of sulphur dioxide; 48% of VOCs and 45% of carbon monoxide12. Another study submitted to the Terminal 5 inquiry looked at the 1991 levels of various emissions, and the forecast levels of emissions with and without construction of Terminal 5 (See Table2 ). This study demonstrated how serious the problem is at Heathrow.... ..."

Table 10. Trend in real wages by segment in the baseline scenario 1998 (YR billion) 2016 (%)

in Development Strategy and Governance Division
by Mohamed Abdelbasset Chemingui 2007
"... In PAGE 6: ...able 9. Macroeconomic trend in the baseline scenario..................................................................... 32 Table10 .... ..."

Table 13: Data for ATUM Traces on 128K Caches [6] Norman P. Jouppi, \Improving Direct-Mapped Cache Performance by the Addition of a Small Fully-Associative Cache and Prefetch Bu ers, quot; in Proceedings of the 17th Annual International Symposium on Computer Architecture, Seattle, Washington, pp. 364{373, IEEE Computer Society and ACM SIGARCH, May 28{31, 1990. Computer Architecture News, 18(2), June 1990. [7] S. Przybylski, M. Horowitz, and J. Hennessy, \Performance Tradeo s in Cache Design, quot; in Proceedings of the 15th Annual International Symposium on Computer Architecture, Honolulu, Hawaii, pp. 290{298, IEEE Computer Society and ACM SIGARCH, May 30{ June 2, 1988. Computer Architecture News, 16(2), May 1988. 36

in A Unified Framework for Hybrid Access Cache Design and Its Applications
by Kevin B. Theobald, Herbert H. J. Humy, Guang R. Gao 1993
Cited by 1

Table 1. Performance of different models in case of 3, 7, 10, 12 and 16 input parameters

in Simplifying the Model of a Complex Industrial Process Using Input Variable Selection
by Nóra Székely

TABLE I DELAY (ps) DISTRIBUTION IN A 1 cm OPTICAL DATA PATH AS COMPARED WITH THE ELECTRICAL INTERCONNECT DELAY. Year 2004 2007 2010 2013 2016

in Electrical and optical on-chip interconnects in scaled microprocessors
by Guoqing Chen, Hui Chen, Mikhail Haurylau, Nicholas Nelson, David Albonesi, Eby G. Friedman 2005
Cited by 2

Table VI presents the execution times for the different parallel versions running on a variety of processors; Figure 18 presents the corresponding speedup curves. The Original, Bounded and Aggressive versions perform very well, attaining a speedup of more than 12 on 16 processors. The Greedy version fails to scale at all: the Greedy false exclusion policy serializes the entire computation.

in Synchronization Transformations for Parallel Computing
by Pedro Diniz, Martin Rinard 1997
Cited by 30

Table VI presents the execution times for the different parallel versions running on a variety of processors; Figure 18 presents the corresponding speedup curves. The Original, Bounded and Aggressive versions perform very well, attaining a speedup of more than 12 on 16 processors. The Greedy version fails to scale at all: the Greedy false exclusion policy serializes the entire computation.

in Synchronization Transformations for Parallel Computing
by Pedro C. Diniz, Martin C. Rinard 1997
Cited by 30

Table 1 Mean average precision computed for our method using several query videos shown in Figs. 11, 12, 16, 17, and 18. The ground truth is annotated by flve users for our experiments.

in Content Based Video Matching Using Spatiotemporal Volumes
by Arslan Basharat, Yun Zhai, Mubarak Shah 2007
"... In PAGE 23: ... 14. Another interesting observation can be made from Table1 regarding the vari- ation in the interpretation of the video similarity by difierent users. For these... ..."

Table 1. Dynamic importances and utilities obtained for the example car (a SAAB 900 S 2.0-16). The linear weights and utilities indicate the correct values for DI and DU if there would be no non- linearities neither in the importance nor in the utility functions of the selection criteria. The columns for price and fuel consumption are marked in bold.

in Extracting Explanations from Neural Networks
by Kary Främling, Didier Graillot

Table 2.3: Results of arithmetic encoding and decoding for Example 3, with renormalization and a 16-symbol (hexadecimal) output alphabet. Final code value is ^ v = 0.BE2016 = 0:1011 1110 0010 00002 = 0:74267578125.

in Introduction to Arithmetic Coding- Theory and Practice Amir Said
by unknown authors 2004
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