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Table 2.1 summarises the situation with respect to those counter-measures which were installed on at least 75% of systems in at least one category. An interesting feature of this part of the survey is the observation that counter-measures based on new technology , such as the use of smart cards or biometric information, had only been deployed on a very small number of systems. All the highly popular measures listed in Table 2.1 are very well established ones.

in Internet Safety and Security Surveys -- A review
by Robin Sharp (ed.) 2007

Table 3. Examples of SMARTS Patterns for Chemical Substructures Captured in the Final SMCM Score SMARTS description

in Rapid Evaluation of Synthetic and Molecular Complexity for in Silico Chemistry
by Tharun Kumar Allu, Tudor I. Oprea 2005
"... In PAGE 4: ... As some moieties in molecules may be peptides, ketones, carbonate, ether oxygen, etc., as shown in Table3 , their presence is likely to reduce the complexity of the molecule. Therefore, we subtract two times the number of occurrences of these features from SMCM.... In PAGE 4: ... This makes SMCM very useful for chemists as it does not correlate much to molecular weight. For the sake of illustration, we include scaffolds used in the diversity-oriented synthesis (DOS) approach18 from the Chembank database19 ( Table3 ). All the SMARTS shown in Table 3 are assigned negative values in the total SMCM score, as they are expected to improve the chemical acces- sibility of a molecule.... In PAGE 4: ... For the sake of illustration, we include scaffolds used in the diversity-oriented synthesis (DOS) approach18 from the Chembank database19 (Table 3). All the SMARTS shown in Table3 are assigned negative values in the total SMCM score, as they are expected to improve the chemical acces- sibility of a molecule. While the presence of all these features in a molecule is expected to make its synthesis easier, one cannot determine exactly by what degree the complexity is reduced, as it will surely not drop to zero.... In PAGE 5: ...imento.health.unm.edu/complexity/smcm.data.tab. Our own effort to depart from MW based on a simple, empirical scheme is countered by the natural trend of higher MW molecules to have an increasingly higher number of atoms, which is paralleled by higher complexity values. We note that the DOS-related SMARTS patterns included in Table3 do not match the current data set, nor did we explicitly include CDL-related SMARTS patterns into the final SMCM score, as their presence would have biased our own scoring scheme. We anticipate that including such patterns would further decrease the correlation between SMCM and MW.... ..."

Table 1: The meaning of SMART

in unknown title
by unknown authors
"... In PAGE 2: ...Introduction Engineering education and process improvement actions always stress the impor- tance of SMART ness of requirements. Table1 shows the meaning of SMART. It is mostly used to stress the specificity and measurability, the ART part is used... ..."

Table 1: SMART Parameters.

in Latency and Bandwidth Requirements of Massively Parallel Programs: FFT as a Case Study
by Fabrizio Petrini, Marco Vanneschi, Petrini Fabrizio Vanneschi Marco
"... In PAGE 11: ... At the moment, SMART supports three families of topologies: k-ary n-cubes, k-ary n- ies and k-ary n-trees. The parameters used by SMART are shown in Table1 . We model only the data structures of the FFT algorithms in the memory hierarchy.... ..."

Table 1: SMART Parameters.

in A Comparison of Wormhole-Routed Interconnection Networks
by Fabrizio Petrini, Marco Vanneschi 1997
"... In PAGE 5: ... Also, it is possible to monitor several metrics and time-dependent events, that are gathered in trace les. The parameters used by SMART are shown in Table1 . We model only the data structures of the FFT algorithms in the memory hierarchy.... ..."
Cited by 1

Table 6-- SMART weighting nomenclature.

in OHSUMED: An interactive retrieval evaluation and new large test collection for research
by Chris Buckley 1994
Cited by 158

Table 1. Unwrapped Counters vs. Embedded Counters

in Embedding finite automata within regular expressions
by Shoham Ben-david, Dana Fisman, Sitvanit Ruah 2004
"... In PAGE 13: ... Thus we can see a significant benefit for the embedding method when the design is small, and a smaller improvement when the design under test is large. In Table1 we present the results of running formulas of the type not b[= i::j]! both on a small model of 36 state variables, and on a larger one of 196 state variables (Both numbers present the size of the model after model reductions). The experiments were done on Dual 2.... ..."
Cited by 4

Table 6. SMARTS bond types

in Chemical Data Mining of the NCI Human Tumor Cell Line Database
by Huijun Wang, Jonathan Klinginsmith, Xiao Dong, Adam C. Lee, Rajarshi Guha, Yuqing Wu, David J. Wild
"... In PAGE 25: ... For SMARTS strings with than five atoms or more, the triple bond was disregarded. See Table6 for a description of the bond types. b.... ..."

Table 2 Description of classes in SMART

in Abstract SMART mobile agent facility
by Johnny Wong, Guy Helmer, Venkatraman Naganathan, Sriniwas Polavarapu, Vasant Honavar, Les Miller 2000
"... In PAGE 9: ...2. Class description Table2 gives a brief description of important classes in SMART, their super classes, the place where they fit in and their functionality. 4.... ..."

Table 1. Smart Message API

in Portable Smart Messages for Ubiquitous Java-enabled Devices
by Nishkam Ravi, Cristian Borcea, Porlin Kang, Liviu Iftode 2004
"... In PAGE 3: ...3. Smart Messages API The SM API is presented in Table1 . To inject a new SM at a node, users invoke createSMFromFiles with a list of program file names and a list of data bricks.... ..."
Cited by 4
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