### Table 1: Traffic Related Features

"... In PAGE 2: ... Then they used a cluster-based method to select a cluster in each group to do the monitoring such that the efficiency of the system can be improved due to the limited power supply of wireless nodes. The traffic related features considered in their monitoring are listed in Table1 . The total number of features they claim is 132.... In PAGE 3: ... In the intrusion detection system, each node builds a profile for each of its neighbors. The profile includes all features listed in Table1 . For the packet type, we also consider the data packet size.... ..."

### Table 1 Clustering at the first level

2000

"... In PAGE 11: ... The optimal cluster number is achieved automatically using the introduced method. The clustering results at the first level are shown in Table1 , based upon the calculation of cluster concentration levels, level decrease measures, and relative decrease measures considering different cluster numbers using Eqs. (8) and (9).... In PAGE 11: ... (8) and (9). From Table1 , the optimal cluster number with the minimum value of relative decrease measure is iden- tified as 3. So, the delivery tasks are classified into three clusters at the first level, namely C1, C2, and C3.... ..."

### Table 7-3. Selected Judgmental Design.

1996

"... In PAGE 48: ...1.1 Screening Method Alternatives Table7 -1 identifies all of the screening technologies that were considered to resolve each decision statement and the optional methods of implementing each technology. The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation.... In PAGE 48: ... The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation. Table7 -1. Summary of Screening Alternatives.... In PAGE 48: ...1.2 Sampling Method Alternatives Table7 -2 identifies the various types of media that need to be sampled to resolve each decision statement and alternative methods for collecting these samples. The table presents alternative... In PAGE 49: ... An estimated cost for the implementation of each sampling design has also been provided for comparison purposes. Table7 -2. Summary of Sampling Method Alternatives.... In PAGE 49: ...1.3 Implementation Design Table7 -3 presents the selected screening technology(s) and sampling method(s) for resolving each decision statement and a summary of the proposed implementation design. The table also provides the rationale for selected methods and design.... In PAGE 50: ...2.1 Data Collection Design Alternatives Table7 -4 identifies the statistical design alternatives (e.g.... In PAGE 50: ...able 7-4 identifies the statistical design alternatives (e.g., simple random, stratified random, and systematic) that were evaluated for each decision statement, as well as the selected design and the rationale for the selection. Table7 -4. Selected Statistical Design.... In PAGE 50: ...2.2 Mathematical Expressions for Solving Design Problems Table7 -5 identifies the statistical hypothesis test (e.g.... In PAGE 51: ...Rev. 0 7-4 Table7 -5. Statistical Methods for Testing the Null Hypothesis.... In PAGE 52: ...2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table7 -6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table 7-4.... In PAGE 52: ....2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table 7-6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table7 -4. As would be expected, the higher the error tolerances and wider the gray region, the smaller the number of samples that are required.... In PAGE 52: ...7 [EPA 1989]). As shown in Table7 -4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table 7-6.... In PAGE 52: ...-Test (formula 6.7 [EPA 1989]). As shown in Table 7-4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table7 -6. Sample Size Based on Varying Error Tolerances and LBGR.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table7 -7 presents the total cost for sampling and analyzing the number of samples identified in Table 7-6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table 7-7 presents the total cost for sampling and analyzing the number of samples identified in Table7 -6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ... Consult the appendices in the Remedial Design Report/Remedial Action Workplan for the 100 Area (DOE-RL 1998b) for the results of the trade-off analysis. Table7 -7. Sampling Cost Based on Varying Error Tolerances and LBGR.... In PAGE 53: ... It is important to consider trade-offs so contingency plans can be developed and the added value of selecting one set of considerations over another can be quantified. Table7 -8 identifies the sampling design that provides a balance between the known operational limitations and the ability to meet the DQOs. Once the sample design has been defined, the project may conduct a trade-off analysis to determine if the reused potential... In PAGE 54: ...Rev. 0 7-7 Table7 -8. Most Resource-Effective Data Collection Design.... In PAGE 54: ... If required, one or more outputs to DQO Steps 1 through 6 were modified to tailor the design to most efficiently meet all of the DQO constraints. For each decision statement, Table7 -9 presents a summary of the final statistical sampling design, the total number of samples to be collected. Sampling will be performed as described in Table 7-8.... In PAGE 54: ... Sampling will be performed as described in Table 7-8. Table7 -9. Final Sampling Design.... In PAGE 55: ...Rev. 0 7-8 Table7 -9. Final Sampling Design.... ..."

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### Table 1. Relating Subtypes between Analysis Methods

"... In PAGE 3: ... Cg determined an optimal partitioning of 5 clusters (Figure 1) from both Rf-only and STQ data. The isolate memberships deter- mined by the two methods were identical for these 5 clusters ( Table1 ). With the use of the hierarchical parti- tioning methods described above, the percent similarity cut-point that was required to produce 5 clusters as determined by Cg was (52.... In PAGE 4: ...many different and sometimes conflicting local maximum values between Rf-only and STQ analysis methods rang- ing from 8 to 16 clusters. It became clear that a common structure between the two methods may or may not be represented by Cg local maximum values at the same number of partitions, but isolate membership should be identical ( Table1 ). This occurred at a common similarity index of 81.... ..."

### Table 7-9. Final Sampling Design. (2 pages)

1996

"... In PAGE 48: ...1.1 Screening Method Alternatives Table7 -1 identifies all of the screening technologies that were considered to resolve each decision statement and the optional methods of implementing each technology. The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation.... In PAGE 48: ... The table also summarizes the limitations associated with each screening technology and/or method of implementation and provides an estimated cost for implementation. Table7 -1. Summary of Screening Alternatives.... In PAGE 48: ...1.2 Sampling Method Alternatives Table7 -2 identifies the various types of media that need to be sampled to resolve each decision statement and alternative methods for collecting these samples. The table presents alternative... In PAGE 49: ... An estimated cost for the implementation of each sampling design has also been provided for comparison purposes. Table7 -2. Summary of Sampling Method Alternatives.... In PAGE 49: ...1.3 Implementation Design Table7 -3 presents the selected screening technology(s) and sampling method(s) for resolving each decision statement and a summary of the proposed implementation design. The table also provides the rationale for selected methods and design.... In PAGE 49: ... The table also provides the rationale for selected methods and design. Table7 -3. Selected Judgmental Design.... In PAGE 50: ...2.1 Data Collection Design Alternatives Table7 -4 identifies the statistical design alternatives (e.g.... In PAGE 50: ...able 7-4 identifies the statistical design alternatives (e.g., simple random, stratified random, and systematic) that were evaluated for each decision statement, as well as the selected design and the rationale for the selection. Table7 -4. Selected Statistical Design.... In PAGE 50: ...2.2 Mathematical Expressions for Solving Design Problems Table7 -5 identifies the statistical hypothesis test (e.g.... In PAGE 51: ...Rev. 0 7-4 Table7 -5. Statistical Methods for Testing the Null Hypothesis.... In PAGE 52: ...2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table7 -6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table 7-4.... In PAGE 52: ....2.3 Select the Optimal Sample Size that Satisfies the Data Quality Objectives Table 7-6 presents the total number of samples required to be collected for each decision statement with varying error tolerances and varying widths of the gray region. The total number of samples was calculated using the statistical method identified in Table7 -4. As would be expected, the higher the error tolerances and wider the gray region, the smaller the number of samples that are required.... In PAGE 52: ...7 [EPA 1989]). As shown in Table7 -4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table 7-6.... In PAGE 52: ...-Test (formula 6.7 [EPA 1989]). As shown in Table 7-4, the fill material in 105-F FSB is considered analogous to waste site overburden, thus, the 100 Area SAP (DOE-RL 1998a) sampling strategy will be used. Table7 -6. Sample Size Based on Varying Error Tolerances and LBGR.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table7 -7 presents the total cost for sampling and analyzing the number of samples identified in Table 7-6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ...2.4 Sampling Cost For varying error tolerances, and varying widths of the gray region, Table 7-7 presents the total cost for sampling and analyzing the number of samples identified in Table7 -6. As would be expected, the higher the error tolerances, the wider the gray region, the lower the sampling and analysis costs.... In PAGE 53: ... Consult the appendices in the Remedial Design Report/Remedial Action Workplan for the 100 Area (DOE-RL 1998b) for the results of the trade-off analysis. Table7 -7. Sampling Cost Based on Varying Error Tolerances and LBGR.... In PAGE 53: ... It is important to consider trade-offs so contingency plans can be developed and the added value of selecting one set of considerations over another can be quantified. Table7 -8 identifies the sampling design that provides a balance between the known operational limitations and the ability to meet the DQOs. Once the sample design has been defined, the project may conduct a trade-off analysis to determine if the reused potential... In PAGE 54: ...Rev. 0 7-7 Table7 -8. Most Resource-Effective Data Collection Design.... In PAGE 54: ... If required, one or more outputs to DQO Steps 1 through 6 were modified to tailor the design to most efficiently meet all of the DQO constraints. For each decision statement, Table7 -9 presents a summary of the final statistical sampling design, the total number of samples to be collected. Sampling will be performed as described in Table 7-8.... In PAGE 54: ... Sampling will be performed as described in Table 7-8. Table7 -9. Final Sampling Design.... ..."

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### Table 1. Summary of all clustering methods that were compared in the analysis.

"... In PAGE 5: ...i.e. clustering) generated by a clustering procedure. 3.1 Alternative clustering procedures Performance of Bayesian mixtures-based methods was com- pared with commonly used alternative clustering procedures ( Table1 ). Detailed descriptions of all algorithms and error- weighted correlation and Euclidean distances can be found in Yeung et al.... ..."

### Table 3: Traffic Related Features

in Preface

2006

"... In PAGE 29: ...7 Tag file The tag file contains the RDF data representing the digital evidence bag and its contents. The DEID of the deb:DigitalEvidenceBag instance is based on the hash of the content of the Evidence Metadata Files, in the order in which they are defined in Table3 . The deb:bagContents property is an ordered list which refer to instances of digital evidence metadata contained in the digital evidence metadata files.... In PAGE 29: ... lt;rdf:li rdf:resource= quot;urn:deid:isi.qut.edu.au:sha1:4056e4786fc460d9adbe98a0bc19b29a2104c476:image quot;/ gt; lt;/rdf:Seq gt; lt;deb:bagContents gt; lt;/deb:DigitalEvidenceBag gt; Table3 : Digital Evidence Bag instance data stored in the Tag File 1.8 Integrity Current best practise for ensuring the integrity of digital evidence involves the use of collision resistant message digest functions.... ..."

### Table 1. Clustering results for judgment_comunication

2006

"... In PAGE 11: ... We aplied a clustering algorithm using weighted arithmetic average, which as- signs a weight to the distance betwen samples S1 (in A) and S2 (in B) of (1/2)G, where G is the sum of the nesting levels (number of enclosing clusters ) of S1 and S2, which reduces the influence of groups of similar samples on the clustering proces. Table1 shows the clustering results for the judgment_comunication suresenses, obtained by pruning the cluster tre at edges with a weighted distance gt; .85 acord- ing to the algorithm.... ..."

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### Table 4 Correlation matrices of affected grey matter network

"... In PAGE 4: ...Results are shown in detail in Table4 . Pearson correlation analysis of 3D clusters revealed that, out of a possible 78 correlations in each group, there were large positive correlation coefficients (r gt; 0.... ..."

### Table 2: Congestion scenarios

2004

"... In PAGE 7: ...The different congestion configurations are shown in Table2 . For all experiments we used a number of Pareto on/off sources generating cross-traffic for each link in the scenario independently.... ..."

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