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Table 2. Effect of a Well-Chosen Weight Reduction on Fatalities in Passenger Car and Light Truck Crashes

in Why Cafe Worked
by David L. Greene
"... In PAGE 28: ...800 lbs.) together with a 66 lb.-equivalent reduction in passenger car weight (t o about 3,200 lbs.) are calculated in Table2 . These weight reductions were deliberatel y chosen so that the net effect would be about zero.... ..."

Table 2 with n = 22. Interpretation of the results For a well chosen polynomial f(x), equations [XY ] and [XY 2] do not give any attack. Similarly, for well chosen polynomials f(x), the number of equations [X2Y ] will be similar to the number obtained with truly random quadratic functions (with no trapdoor). However, this condition on [X2Y ] is more restrictive than the similar condition on [XY 2]. Remark: To see how some equations [X2Y ] or [X2Y + XY 2] can be useful for an attack, see section 8.

in Hidden Field Equations (HFE) and Isomorphisms of Polynomials (IP): two new Families of Asymmetric Algorithms
by Jacques Patarin 1996
Cited by 67

Table 1 Comparison between the four cost functions

in a non-quadratic cost function
by unknown authors 2004
"... In PAGE 6: ...2. In order to give some quantitative insights into the comparison of the symmetrical and asymmetrical forms of a cost function, we have computed 200 simulations on the two kinds of spectra ( Table1 ). For each simulation, the MSE between the real and estimated background is computed.... In PAGE 7: ...Table1 ), the truncated quadratic yields the best estimation, providing that the shape (symmetric/asymmetric) is well-chosen with respect to the kind of spectrum. Indeed, with that cost function, all peaks have a constant cost, so that they do not affect the estimation, while, with the Huber cost function, the peaks still influence it.... ..."

Table 1: The proposed control strategy for powertrain control. During the clutch phase (dotted lines in gure 4 are active), PIcl controls the clutch, to realise the desired shifting traject, while the variator ratio remains constant. During the variator phase (full lines are active), the vari- ator controller PIv takes care of variogram tracking. To avoid energy losses, PIcl is used to keep the clutch slip small. An hysteresis element, driven by the measured clutch slip sm = Ne;m?Np;m, is used to generate the reference clutch slip sref. Smooth switching between both phases is guaranteed if the initial reference clutch slip is well-chosen. POWERTRAIN COMPONENT LEVEL In this section, it is shown how the characteristics of the wet multi-plate clutch and the pushbelt variator can be taken into account. First, reduced static models of both systems are derived. Next, these models are inverted to obtain static feedforward controllers.

in Electronic Control Of Continuously Variable Transmissions
by Paul Vanvuchelen, Christiaan Moons, Willem Minten, Bart De Moor
"... In PAGE 4: ... For a powertrain with a CVT, we propose the control con guration of gure 4. Table1 summarizes the proposed strategy.... ..."

Table 3b, whereas the Friedman test yields a p-value of 0.54). The visual investigation of results by means of box-plots in Fig- ure 2 reveals indeed that the numerical differences in results are ap- parently negligible. In conclusion, if the quantitative parameters are well chosen by means of a statistically sound procedure, all con gu- rations of qualitative parameters are equally good.

in A Study on the Short-Term Prohibition Mechanisms in Tabu Search
by Luca Di Gaspero, Marco Chiarandini, Andrea Schaerf
"... In PAGE 3: ... Hence, simplifying the analy- sis we remain with 3 algorithmic factors and study their main effects and interactions. In Table3 a and Figure 1 we report the results of this analysis. The most important result, emphasised from the visualisa- tion of the analysis through interaction plots in Figure 1, is the bad performance of the MinConf neighbourhood exploration strategy on the colour.... In PAGE 4: ... The outcomes of the RACE procedure are reported in Table 3 that shows the con gurations for which no signi cant difference was found after 50 stages. Table3 : RACE results for EXAMINATION TIMETABLING Prohibition power / List dynamics t1-t2 avg z(r;i) Weak/Adaptive 0.... ..."

Table 8-1. Total Dataset (26 words) Needed to Reproduce Figure 8-3. Representation uses Equations (8-1 and 8-2) and the timescales in the caption of Figure 8-2 above (4 words). Total data compression achieved is about 2500:1.

in DISCLAIMER
by Mehran Arbab, Bruce W. Binion, John J. Connors, Craig Dodge, Mark A. Deyoung, Arthur R. Farrar, Craig P. Gowin, William F. Haley David Hanekamp, Raymond M. Mayer, Richard W. Michael, Alan J. Miller, Michael R. Stokes, Rajiv Tiwary, Padmabhushana R. Desam, Philip J. Smith, Lee A. Bertram, Robert J. Gallagher, Robert G. Hillaire, William G. Houf, Donald A. Sheaffer, Peter M. Walsh, Work Package 2004
"... In PAGE 92: ... Equations (8-1 to 8-3) are presented to illustrate that well-chosen representations can capture the information contained in the PI database using several orders of magnitude less storage. Perhaps the point is best made by comparison of the plot of rider arch temperatures as stored by the PI database (Figure 8-3), requiring about 105 words, with Table8 -1, which contains all 40 or so of the words required by Equations (8-1 to 8- 3). The choice of exponential fits was physically motivated, of course.... ..."

Table II. Pairwise comparisons for Errors

in An evaluation of techniques for reducing spatial interference in single display groupware,” ECSCW
by Theophanis Ts, Ravin Balakrishnan 2005
Cited by 1

Table 7: Variation of Relationship Management Mechanisms in the four types of Governance (n=218)

in A Typology of Hybrid Governance: Proposal and Empirical Validation
by Mani R. Subramani, John C. Henderson
"... In PAGE 25: ...Test 3: Variations in Relationship Management Mechanisms The means, standard deviations and correlations among the relationship management mechanisms are presented in Table 63. The variation in the relationship management mechanisms among the four groups is provided in Table7 . Management Focus: Overall, the management focus in exchanges differs significantly across the four quadrants, F(3,214)=19.... ..."

Table 2. Pairwise comparisons of algorithms

in BIOINFORMATICS ORIGINAL PAPER Structural bioinformatics Motif-based protein ranking by network propagation
by Rui Kuang, Jason Weston, William Stafford Noble, Christina Leslie 2005
"... In PAGE 5: ... AllthreenetworksproduceimprovedROC50 scoresover PSI-BLAST, while the PROSITE and k-mer networks also improve ROC10 and ROC1, and the eMOTIF network produces much weaker ROC1 scores. The comparison of ROC scores between the Motif- Prop methods and PSI-BLAST or RankProp is shown in Figure 3 and Table2 . We can conclude from our results that MotifProp with various types of motifs gives significant improvement over the PSI- BLAST ranking, but in terms of ROC50 performance, it does not perform quite as strongly as RankProp with our network setup and parameter choices.... In PAGE 6: ... The comparisons of ROC scores for PSI-BLAST, RankProp, k-mer MotifProp and sequential MotifProp on test queries are shown in Table 1 and Figure 3. A pairwise comparison between RankProp and sequential MotifProp is reported in Table2 . On average, the sequentialMotifPropbasedonPROSITEmotifsandk-mersachieves stronger performance on ROC1, comparable ROC10 but slightly weaker ROC50 compared with RankProp.... ..."

Table III. Pairwise comparisons for Width

in An evaluation of techniques for reducing spatial interference in single display groupware,” ECSCW
by Theophanis Ts, Ravin Balakrishnan 2005
Cited by 1
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