### Table 2: Example codes designed for quasi-static at fading channels.

2002

"... In PAGE 15: ... Modulation p q code rate (time) BPSK 1 1 1 QPSK 2 2 1=2 8PSK 2 2 1=3 Table 1: Parameters for codes to be compared. In Table2 we provide three code examples for quasi-static at fading channels. Code 1 is the optimum (maximum diversity gain and maximum coding gain) BPSK ST-TCM code.... In PAGE 15: ... Optimality was veri ed using a complete search. The last two columns are just a permutation of the rst two columns in G in Table2 . The labeling across time follows a pattern similar to a repetition code.... In PAGE 15: ... It achieves the maximum coding gain (and diversity gain). Table2 also lists the corresponding theoretical coding gain . In Figure 3, we compare the performance of Code 1, Code 2 and Code 3 in a quasi-static at fading channel for cases with M = 2 and M = 4.... In PAGE 16: ... We obtain some information on the coding gain distribution by computing the coding gain averaged over all length-k error events 1 k 3. This quantity av is included in Table2 . Some justi cation and further discussion of av is given in [16].... In PAGE 16: ...ength-k error events 1 k 3. This quantity av is included in Table 2. Some justi cation and further discussion of av is given in [16]. Table2 shows that av for Code 2 is larger than that for Code 3. In Table 3 we show the best4 BPSK ST-TCM code (Code 4) we found, an optimum 4Note that Code 4 does not optimize the criterion in [1], but Code 4 is better for the nonasymptotic SNRs we consider.... ..."

Cited by 2

### Table 1. Elastic and Strength Properties of E-glass/913 from Quasi-Static Tensile Tests in Universal Test Machine

"... In PAGE 9: ....1.1. Unidirectional [0]8 Specimens The moduli and strengths are given in Table1 . The post-failure morphology has a broom- like appearance, Figure 4(a).... ..."

### Table 2: Model Candidates generated from Interaction Paths (IP) using (OntAss=influences, SimpAss=qual, OpAss=quasi-static, Tscale=medium) as the currently active set of modeling assumptions.

"... In PAGE 17: ... Model size measured in terms of the candidate evaluation function: eval(m)=v+r. Table2 shows for each model candidate those fragments that are incompatible because they violate some of the active modeling assumptions. Notice that only four (set in boldface) out of twenty-four model candidates are indeed internally consistent.... ..."

### Table 1. Optimum a20 -state 1 b/s/Hz QPSK 2-space-time codes over a40a6a41 for quasi-static fading.

2001

"... In PAGE 1: ... We use the systematic approach [4] with minor modifica- tions to search for the 1 b/s/Hz optimum 2-space-time trel- lis codes for rapid fading and quasi-static fading cases. In Table1... ..."

Cited by 1

### Table 1 shows the quantitative evaluation of the sys- tem performance by breaking the simulation into different processes. The time consumption of the quasi-static simu- lation and rendering is relatively small compared to that of the dynamic simulation. For the expression generated by the contractions of more muscles such as sadness, although the number of dynamic nodes increases, the framerate can still reach about 21 fps. We can clearly verify that the pro- posed adaptive simulation algorithm of section 4 gracefully accelerates the simulation speed as a function of C6 CS and

"... In PAGE 7: ...562 2208 3603 21.6 25.0 7.6 5.0 26.6 Table1 : System performance. Notation: number of dy-... ..."

### Table 3: Matrix amp; Unidirectional Quasi-static Properties with Standard Deviation quot;nonbiased quot; or quot;n-1 quot; method

1999

"... In PAGE 41: ... One extensometer and two to four strain gages were used to measure strain/elongation for quasi-static testing. Minimum of 10 specimens for axial direction and 3 specimens for transverse were tested as shown in Table3 and Table 4. ASTM Standards D3039-95a, D3410-95, and D3518-94 were followed for tension, compression, and shear tests respectively.... In PAGE 42: ...espectively. The failure strain was 1.9 %in/in as shown in Table 3. Unidirectional Tensile and Compression Performance Unidirectional tests included tension and compression on vinyl ester/E-glass and tension on vinyl ester/AS4 carbon unidirectional composites and are summarized in Table3 . Failure of the unidirectional composites for both carbon and glass were a brittle matrix/ductile fiber failure where the failure initiated in the matrix as longitudinal splitting due the combination of transverse compression and longitudinal extension in the matrix.... In PAGE 58: ... For 71% fiber volume, the unidirectional composite axial stiffness is estimated by the ROM as shown in Equation 17. The CRTM pultruded vinyl ester/E- glass composite designated U1 in Table3 has a stiffness E1=Ex of 7.47 Msi, which is 98% of the ROM prediction.... ..."

### Table 2 - Quasi-Static Load Factors

"... In PAGE 6: ... Molecular contamination levels are less than 150 angstroms over this period. Preliminary center-of-gravity acceleration values for the calculating loads at the standard interface are shown in Table2 . These quasi-static load factors are given for specific SV weights, and must be adjusted for other SV weights according to steady state acceleration vs.... ..."

### Table I implementations: the first, named QSS, was obtained using our Quasi-Static Scheduling technique presented in this paper and con- sists of two tasks, the second, named functional task partitioning, consists of five tasks and was obtained by synthesizing separately onetasksforeachofthefivemodulesshownin figure8. Theresults, obtained using a testbench of 50 ATM cells, show that the number of clock cycles and the code size are significantly smaller for the QSS implementation that is composedof a smaller numberof tasks and therefore has a smaller overhead due to tasks activation.

### Table 2 Instability bounds of forbidden subgraphs in AQM vs. AQSQM. We denote AQM the Adversarial Queueing Theory Model, AQSQM the Adversarial Quasi-Static Queueing Theory Model and s.p. the simple path.

2007

"... In PAGE 6: ....3, 5.4, 5.5 and 5.6). More specifically, we improve the instability bound of the six simple subgraphs in Figure 4 that have been proved in [2] to be forbidden subgraphs for the universal stability of networks. For purpose of completeness and comparison, we summarize, in Table2 , all results that are shown in this work and in [2] concerning instability bounds on the injection rate for the forbidden subgraphs (S1, S2, S3, S4, U1, U2).... ..."

### Table 2 Instability bounds of forbidden subgraphs in AQM vs. AQSQM. We denote AQM the Adversarial Queueing Theory Model, AQSQM the Adversarial Quasi-Static Queueing Theory Model and s.p. the simple path.

"... In PAGE 4: ....3, 5.4, 5.5 and 5.6). More specifically, we improve the instability bound of the six simple subgraphs in Figure 4 that have been proved in [2] to be forbidden subgraphs for the universal stability of networks. For purpose of completeness and comparison, we summarize, in Table2 , all results that are shown in this work and in [2] concerning instability bounds on the injection rate for the forbidden subgraphs (S1, S2, S3, S4, U1, U2).... ..."