### Table 1. Characteristics of two-dimensional imaging systems (Systems I and II) Acceleration energy 5.0 GeV

"... In PAGE 8: ... After further improvement, System II has been employed for clinical examination since 1999 under collaboration between the University of Tsukuba and the Institute of Materials Structure Science. The characteristics of the imaging systems are summarized in Table1 . A monochromatic X-ray beam is obtained via an asymmetrically cut silicon crystal with (311) reflecting planes installed 40 m from the center of the MPW, yielding a field size of 120-140 mm (V) by 75 mm (H).... ..."

### Table 2 Structure of two-dimensional spectrum over GF(8).

"... In PAGE 13: ... To do this constructively in the frequency domain, only an independent set of frequencies may be specified. Theo- rem 3 is easily extended to a two-dimensional version which requires that apos;?j1 = apos;(Zj mod n)(Zj apos; mod n) apos; from which we can construct Table2 . Each row of the table shows a constrained set of frequencies.... In PAGE 14: ... There are only 16 open frequencies which, because of the constraints, can encode 16 bits. This is a consequence of the fact that row 1 and column 1 have their parity symbols scattered among different rows of Table2 . The code is an unimpressive (49, 16, 9) code.... ..."

### Table 2: CPU times in seconds for two-dimensional problems.

"... In PAGE 16: ... This cost is greater than the cost of the actual solution method for two-dimensional problems but smaller than that for three- dimensional problems. For two-dimensional problems, CPU times for the initialization and the solution are given in Table2 . Similar timings for three-dimensional problems are given in Table 3.... ..."

### Table 1: Two-Dimensional Quality Metrics Quality Metric Opt-MS Variable n

"... In PAGE 9: ...for optimization-based smoothing. Table1 contains a list of currently supported metrics thatmeasure triangle quality. The Opt-MS reference variable, the number of function evaluations per triangle, n, and the formula used to compute the function value are also given.... ..."

### Table 1: Two-Dimensional Quality Metrics Quality Metric Opt-MS Variable n

"... In PAGE 9: ...for optimization-based smoothing. Table1 contains a list of currently supported metrics thatmeasure triangle quality. The Opt-MS reference variable, the number of function evaluations per triangle, n, and the formula used to compute the function value are also given.... ..."

### Table 1 The image processing tasks categorised into a two-dimensional taxonomya

"... In PAGE 3: .... Scene characterisation. A complete description of the scene possibly including lighting conditions, context, etc. Table1 contains the taxonomy of image processing algorithms that results from combining the steps of the image processing chain with the abstraction level of the input data. 3.... ..."

### Table 1 The image processing tasks categorised into a two-dimensional taxonomya

2001

"... In PAGE 2: .... Scene characterisation. A complete description of the scene possibly including lighting conditions, context, etc. Table1 contains the taxonomy of image processing algorithms that results from combining the steps of the image processing chain with the abstraction level of the input data. 3.... ..."

### Table 1: A two-dimensional classi cation of global magnetic structures: the dominant azimuthal and vertical modes

### Table 2: Optimal Threshold Distance and Average Total Cost for Two-Dimensional Mobility Model

1995

"... In PAGE 10: ... There is a cost advantage if location update is per- formed less frequently. Table2 shows similar results for the two-dimensional model under the same parameter values. Den0cne the near optimal threshold distance, d n03 0 , to be the optimal threshold distance obtained using the approximated steady state probabilities obtained in Sec- tion 4.... In PAGE 10: ... In most cases, the two values are the same. Table2 also demonstrates that the values of C T and C 0 T are very close to each other when the optimal threshold distance is higher than 1. The worst cases occur when the optimal threshold distance is 1 and the near optimal threshold value is 0.... ..."

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