"... In PAGE 2: ... Function. Table1 presents a detailed comparison of the three protocols. Both PCI-Express and RapidIO define se- rial physical layers based on LVDS and encode clock and sideband signals into the bitstream.... ..."

"... In PAGE 5: ...LEADING-EDGE DEVELOPMENTS IN TOURISM ICT AND v Figure 19: Simulated Gui Interface For Testing Various Puis ______________________________________ 50 Figure 20: Traditional Usability Laboratory: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 51 Figure 21: Monitoring System Screen Capture__________________________________________________ 51 Figure 22: New Usability Laboratory Setup: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 53 Figure 23: Task Completion Time Logging Screen ______________________________________________ 53 Figure 24: Comparison Of The Task Completion Times For The Traditional And Re-Engineered Usability Testing Approach ________________________________________________________________________ 55 Figure 25: Comparison Of The Error Count For The Traditional And Re-Engineered Usability Testing Approach_______________________________________________________________________________ 55 Figure 26: Usability Testing Laboratory At Victoria University (A) Photograph Of The Participant Room, (B) Overall Laboratory Configuration____________________________________________________________ 57 Figure 27: Lab-In-A-Box Set-Up (Reproduced With Permission)___________________________________ 61 Figure 28: Mobile Usability Testing (Must). A) For Onsite Testing, B) Offsite Location Setup For The Facilitator And The Participant, C) Offsite Setup For The Observer _________________________________ 62 LIST OF TABLES Table 1: Some Themes In Tourism Ontology And Corresponding Terms______________________________ 7 Table 2: Applications For Travel And Hospitality _______________________________________________ 16 Table 3: Survey Scenario And Results ________________________________________________________ 17 Table4 : Challenges And Limitation For Mobile Guides __________________________________________ 18 Table 5: Survey Results ___________________________________________________________________ 19 Table 6: Push / Pull Notifications For Each Application __________________________________________ 20 Table 7: First-Generation Ict In Tourism (Gds/Other) ____________________________________________ 25 Table 8: Travel Portal Software Architecture (Reference) _________________________________________ 30 Table 9: Semantic Web Technology Maturity (Reference) ________________________________________ 34 Table 10: Cost Of Mobile Equipment Required For A Mobile Usability Testing (Must) Facility___________ 62 Table 11: Cost Of Other Equipment Required For A Mobile Usability Testing (Must) Facility ____________ 63 ... ..."

"... In PAGE 5: ...LEADING-EDGE DEVELOPMENTS IN TOURISM ICT AND v Figure 19: Simulated Gui Interface For Testing Various Puis ______________________________________ 50 Figure 20: Traditional Usability Laboratory: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 51 Figure 21: Monitoring System Screen Capture__________________________________________________ 51 Figure 22: New Usability Laboratory Setup: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 53 Figure 23: Task Completion Time Logging Screen ______________________________________________ 53 Figure 24: Comparison Of The Task Completion Times For The Traditional And Re-Engineered Usability Testing Approach ________________________________________________________________________ 55 Figure 25: Comparison Of The Error Count For The Traditional And Re-Engineered Usability Testing Approach_______________________________________________________________________________ 55 Figure 26: Usability Testing Laboratory At Victoria University (A) Photograph Of The Participant Room, (B) Overall Laboratory Configuration____________________________________________________________ 57 Figure 27: Lab-In-A-Box Set-Up (Reproduced With Permission)___________________________________ 61 Figure 28: Mobile Usability Testing (Must). A) For Onsite Testing, B) Offsite Location Setup For The Facilitator And The Participant, C) Offsite Setup For The Observer _________________________________ 62 LIST OF TABLES Table 1: Some Themes In Tourism Ontology And Corresponding Terms______________________________ 7 Table 2: Applications For Travel And Hospitality _______________________________________________ 16 Table 3: Survey Scenario And Results ________________________________________________________ 17 Table 4: Challenges And Limitation For Mobile Guides __________________________________________ 18 Table 5: Survey Results ___________________________________________________________________ 19 Table 6: Push / Pull Notifications For Each Application __________________________________________ 20 Table 7: First-Generation Ict In Tourism (Gds/Other) ____________________________________________ 25 Table 8: Travel Portal Software Architecture (Reference) _________________________________________ 30 Table 9: Semantic Web Technology Maturity (Reference) ________________________________________ 34 Table10 : Cost Of Mobile Equipment Required For A Mobile Usability Testing (Must) Facility___________ 62 Table 11: Cost Of Other Equipment Required For A Mobile Usability Testing (Must) Facility ____________ 63 ... ..."

"... In PAGE 5: ...LEADING-EDGE DEVELOPMENTS IN TOURISM ICT AND v Figure 19: Simulated Gui Interface For Testing Various Puis ______________________________________ 50 Figure 20: Traditional Usability Laboratory: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 51 Figure 21: Monitoring System Screen Capture__________________________________________________ 51 Figure 22: New Usability Laboratory Setup: (A) Photograph Of The Participant Room, (B) Laboratory Configuration ___________________________________________________________________________ 53 Figure 23: Task Completion Time Logging Screen ______________________________________________ 53 Figure 24: Comparison Of The Task Completion Times For The Traditional And Re-Engineered Usability Testing Approach ________________________________________________________________________ 55 Figure 25: Comparison Of The Error Count For The Traditional And Re-Engineered Usability Testing Approach_______________________________________________________________________________ 55 Figure 26: Usability Testing Laboratory At Victoria University (A) Photograph Of The Participant Room, (B) Overall Laboratory Configuration____________________________________________________________ 57 Figure 27: Lab-In-A-Box Set-Up (Reproduced With Permission)___________________________________ 61 Figure 28: Mobile Usability Testing (Must). A) For Onsite Testing, B) Offsite Location Setup For The Facilitator And The Participant, C) Offsite Setup For The Observer _________________________________ 62 LIST OF TABLES Table 1: Some Themes In Tourism Ontology And Corresponding Terms______________________________ 7 Table 2: Applications For Travel And Hospitality _______________________________________________ 16 Table 3: Survey Scenario And Results ________________________________________________________ 17 Table 4: Challenges And Limitation For Mobile Guides __________________________________________ 18 Table 5: Survey Results ___________________________________________________________________ 19 Table 6: Push / Pull Notifications For Each Application __________________________________________ 20 Table 7: First-Generation Ict In Tourism (Gds/Other) ____________________________________________ 25 Table 8: Travel Portal Software Architecture (Reference) _________________________________________ 30 Table 9: Semantic Web Technology Maturity (Reference) ________________________________________ 34 Table 10: Cost Of Mobile Equipment Required For A Mobile Usability Testing (Must) Facility___________ 62 Table11 : Cost Of Other Equipment Required For A Mobile Usability Testing (Must) Facility ____________ 63 ... ..."

"... In PAGE 11: ...P8517BTestSetOptions ...................................1-4 Table1 -1.... In PAGE 11: ...erifyingTestSetOperation ..................................1-5 Table1 -2.... In PAGE 11: ...nstrumentFirmwareCompatibility .............................1-8 Table1 -3.... In PAGE 11: ...ervice and Support Options Available ..........................1-9 Table1 -4.... In PAGE 11: ...ecommendedTestEquipment ...............................1-12 Table1 -6.... In PAGE 11: ...peratingandSafetyPrecautions..............................1-13 Table1 -7.... In PAGE 20: ...HP 8517B Test Set Options HP 8517B Test Set Options Options for the HP 8517B test set are described in Table1 -1, below. Table 1-1 HP 8517B Options and Descriptions Options HP 8517B Test Set Option Description Option 001 Adds IF switching capability for up to four test set connections to the HP 8510C Network Analyzer.... In PAGE 26: ...Accessories Accessories The accessories supplied with the test set, including part numbers, are listed in Accessories Supplied in this section and in the Replaceable Parts List of this manual. Accessories Available Table1 -5 describes accessories available for the HP 8517B test set. For additional HP 8510C system accessories information, refer to the HP 8510C manual set.... In PAGE 28: ...Recommended Test Equipment Recommended Test Equipment Additional equipment and accessories required for use with the test set are listed in Table1 -6. The table lists which items are required to verify the performance of the test set and which are required to operate it.... ..."

"... In PAGE 88: ...ECIDE, WP1B, sec.6.5.4 Features CoCo LQTEXT LEXA Kaye plain text X X X X tagged text X { { X SGML encoded text { { { { bilingual text { { { X search is performed on { textual data X { X { { special encoded data { X X X distinction between text amp; tags { in data representation { { { X { in query system { { { { Table 28: Input format of corpora IV Features CoCo LQTEXT LEXA Kaye usage mode { interactive * menus X X ? X * graphical user interface X { { { * query language { X X { { batch { X X { Table 29: User modes IV Features CoCo LQTEXT LEXA Kaye max. size of corpora not restricted { { { { support for char sets of DE, FR, EN X ? ? X integratable into DECIDE toolbox { X X { application test successful { { { { Table3 0: Miscellaneous IV Ulrich Heid, Bruno M. Schulze (STR) 83... In PAGE 90: ... { { { { { word length { { X { { external tools { { { { search space spec. { # characters { { { { { # word forms { { { { { text structure { { { { query method { re nement of search conditions X (X) (X) X { subqueries (X) (X) X X { combination of query results { { { { Table3 1: Search capabilities V Features ggrep ptx CONC HUM built-in corpora { { { { own corpora X X X X de nition of subsets { { { { Table 32: Selection of corpora V Ulrich Heid, Bruno M. Schulze (STR) 85... In PAGE 90: ... { { { { { word length { { X { { external tools { { { { search space spec. { # characters { { { { { # word forms { { { { { text structure { { { { query method { re nement of search conditions X (X) (X) X { subqueries (X) (X) X X { combination of query results { { { { Table 31: Search capabilities V Features ggrep ptx CONC HUM built-in corpora { { { { own corpora X X X X de nition of subsets { { { { Table3 2: Selection of corpora V Ulrich Heid, Bruno M. Schulze (STR) 85... In PAGE 91: ...ECIDE, WP1B, sec.6.6.0 Features ggrep ptx CONC HUM simple index { X X { word/pattern frequency { { X X KWIC{ context spec. * # characters { X { X * # word forms { { { { * text structure (X) { { { show citation X X X X sorting{ position in KWIC line (X) X X (X) { complex criteria { { X { { sort order control (X) { X (X) display tag values { { X { display aligned citation { { { { store results in a le X X X X Table3 3: Presentation of query results V Features ggrep ptx CONC HUM grouping of concordance lines { manually { { { { { automatically { { { { reduction of concordance lines { manually { { X { { automatically * random selection { { { { * other { { X { { use as new subcorpus { { ? { built-in statistics { MI { { { { { t{score { { { { { Z{score { { { { { other { { { { Table 34: Postprocessing of query results V Features ggrep ptx CONC HUM plain text X X X X tagged text { { X { SGML encoded text { { { { bilingual text { { { { search is performed on { textual data X X X X { special encoded data { { { { distinction between text amp; tags { in data representation { { { { { in query system { { X { Table 35: Input format of corpora V Ulrich Heid, Bruno M. Schulze (STR) 86... In PAGE 91: ...ECIDE, WP1B, sec.6.6.0 Features ggrep ptx CONC HUM simple index { X X { word/pattern frequency { { X X KWIC{ context spec. * # characters { X { X * # word forms { { { { * text structure (X) { { { show citation X X X X sorting{ position in KWIC line (X) X X (X) { complex criteria { { X { { sort order control (X) { X (X) display tag values { { X { display aligned citation { { { { store results in a le X X X X Table 33: Presentation of query results V Features ggrep ptx CONC HUM grouping of concordance lines { manually { { { { { automatically { { { { reduction of concordance lines { manually { { X { { automatically * random selection { { { { * other { { X { { use as new subcorpus { { ? { built-in statistics { MI { { { { { t{score { { { { { Z{score { { { { { other { { { { Table3 4: Postprocessing of query results V Features ggrep ptx CONC HUM plain text X X X X tagged text { { X { SGML encoded text { { { { bilingual text { { { { search is performed on { textual data X X X X { special encoded data { { { { distinction between text amp; tags { in data representation { { { { { in query system { { X { Table 35: Input format of corpora V Ulrich Heid, Bruno M. Schulze (STR) 86... In PAGE 91: ...ECIDE, WP1B, sec.6.6.0 Features ggrep ptx CONC HUM simple index { X X { word/pattern frequency { { X X KWIC{ context spec. * # characters { X { X * # word forms { { { { * text structure (X) { { { show citation X X X X sorting{ position in KWIC line (X) X X (X) { complex criteria { { X { { sort order control (X) { X (X) display tag values { { X { display aligned citation { { { { store results in a le X X X X Table 33: Presentation of query results V Features ggrep ptx CONC HUM grouping of concordance lines { manually { { { { { automatically { { { { reduction of concordance lines { manually { { X { { automatically * random selection { { { { * other { { X { { use as new subcorpus { { ? { built-in statistics { MI { { { { { t{score { { { { { Z{score { { { { { other { { { { Table 34: Postprocessing of query results V Features ggrep ptx CONC HUM plain text X X X X tagged text { { X { SGML encoded text { { { { bilingual text { { { { search is performed on { textual data X X X X { special encoded data { { { { distinction between text amp; tags { in data representation { { { { { in query system { { X { Table3 5: Input format of corpora V Ulrich Heid, Bruno M. Schulze (STR) 86... In PAGE 92: ...ECIDE, WP1B, sec.6.6.0 Features ggrep ptx CONC HUM usage mode { interactive * menus { { { { * graphical user interface { { X { * query language X X { X { batch X X { X Table3 6: User modes V Features ggrep ptx CONC HUM max. size of corpora not restricted X { { { support for char sets of DE, FR, EN (X) { X X integratable into DECIDE toolbox X X { X application test successful { { { { Table 37: Miscellaneous V 6.... In PAGE 92: ...ECIDE, WP1B, sec.6.6.0 Features ggrep ptx CONC HUM usage mode { interactive * menus { { { { * graphical user interface { { X { * query language X X { X { batch X X { X Table 36: User modes V Features ggrep ptx CONC HUM max. size of corpora not restricted X { { { support for char sets of DE, FR, EN (X) { X X integratable into DECIDE toolbox X X { X application test successful { { { { Table3 7: Miscellaneous V 6.6 Summary The description of the tools contained in the ve groups which we have reviewed in the previous sections has clearly shown a number of trends, for each of these, as well as for the groups as a whole.... ..."

"... In PAGE 15: ...10?6 20 16 11/13/15-38/33/16 D-SAMLI absol.10?6 20 14 6/5/6-12/10/12 Table1 0: MOST-32, 1 pile, 1 soil layer, knr(i)k lt; 5 10?4 Problem size Number of outer iterations Computing time in seconds 280 23 0:3 1088 25 1:0 4288 27 5:7 17024 29 30:4 67840 31 143:9 Table 11: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?1 6 Fixed versus variable block-diagonal preconditioning for the SDC or- dering As can be seen from the tests for MOST, the tested fixed preconditioners perform somewhat worse than the corresponding inner-outer solution method. The effect is more clearly seen for very large- scale problems.... In PAGE 15: ...10?6 20 16 11/13/15-38/33/16 D-SAMLI absol.10?6 20 14 6/5/6-12/10/12 Table 10: MOST-32, 1 pile, 1 soil layer, knr(i)k lt; 5 10?4 Problem size Number of outer iterations Computing time in seconds 280 23 0:3 1088 25 1:0 4288 27 5:7 17024 29 30:4 67840 31 143:9 Table1 1: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?1 6 Fixed versus variable block-diagonal preconditioning for the SDC or- dering As can be seen from the tests for MOST, the tested fixed preconditioners perform somewhat worse than the corresponding inner-outer solution method. The effect is more clearly seen for very large- scale problems.... In PAGE 16: ...16 Problem size Number of outer iterations Computing time in seconds 280 20 0:4 1088 23 1:4 4288 27 9:6 17024 29 49:0 67840 30 224:6 Table1 2: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?2 Problem size Number of outer iterations Computing time in seconds 280 20 0:5 1088 24 2:2 4288 27 13:4 17024 29 68:1 67840 30 312:3 Table 13: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?3 Problem size Number of outer iterations Computing time in seconds 280 34 0:1 1088 65 0:6 4288 63 3:1 17024 68 14:0 67840 70 65:1 270848 69 293:2 Table 14: The WALL problem, fixed I-AMLI preconditioner QB... In PAGE 16: ...16 Problem size Number of outer iterations Computing time in seconds 280 20 0:4 1088 23 1:4 4288 27 9:6 17024 29 49:0 67840 30 224:6 Table 12: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?2 Problem size Number of outer iterations Computing time in seconds 280 20 0:5 1088 24 2:2 4288 27 13:4 17024 29 68:1 67840 30 312:3 Table1 3: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?3 Problem size Number of outer iterations Computing time in seconds 280 34 0:1 1088 65 0:6 4288 63 3:1 17024 68 14:0 67840 70 65:1 270848 69 293:2 Table 14: The WALL problem, fixed I-AMLI preconditioner QB... In PAGE 16: ...16 Problem size Number of outer iterations Computing time in seconds 280 20 0:4 1088 23 1:4 4288 27 9:6 17024 29 49:0 67840 30 224:6 Table 12: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?2 Problem size Number of outer iterations Computing time in seconds 280 20 0:5 1088 24 2:2 4288 27 13:4 17024 29 68:1 67840 30 312:3 Table 13: The WALL problem, I-AMLI preconditioner QB vs, quot;inner = 10?3 Problem size Number of outer iterations Computing time in seconds 280 34 0:1 1088 65 0:6 4288 63 3:1 17024 68 14:0 67840 70 65:1 270848 69 293:2 Table1 4: The WALL problem, fixed I-AMLI preconditioner QB... In PAGE 18: ...18 Problem size s = 0:3 s = 0:4 s = 0:45 s = 0:49 s = 0:499 s = 0:4999 280 2:1 2:6 2:7 2:9 3:1 3:1 1088 13:4 16:1 17:1 21:0 21:4 20:8 4288 70:1 83:3 96:9 111:3 115:1 113:2 17024 265:6 350:6 396:9 466:3 490:8 486:0 67840 1250:9 1667:9 1838:9 2087:3 2146:8 2112:7 Table1 5: Computing time vs. problem size for the different values of Poisson ratio s Problem size s = 0:3 s = 0:4 s = 0:45 s = 0:49 s = 0:499 s = 0:4999 280 17 22 23 27 27 27 1088 19 23 26 32 32 32 4288 19 24 28 32 33 33 17024 17 24 28 31 33 33 67840 17 24 27 31 32 32 Table 16: Number of outer Schur complement iterations vs.... In PAGE 18: ...18 Problem size s = 0:3 s = 0:4 s = 0:45 s = 0:49 s = 0:499 s = 0:4999 280 2:1 2:6 2:7 2:9 3:1 3:1 1088 13:4 16:1 17:1 21:0 21:4 20:8 4288 70:1 83:3 96:9 111:3 115:1 113:2 17024 265:6 350:6 396:9 466:3 490:8 486:0 67840 1250:9 1667:9 1838:9 2087:3 2146:8 2112:7 Table 15: Computing time vs. problem size for the different values of Poisson ratio s Problem size s = 0:3 s = 0:4 s = 0:45 s = 0:49 s = 0:499 s = 0:4999 280 17 22 23 27 27 27 1088 19 23 26 32 32 32 4288 19 24 28 32 33 33 17024 17 24 28 31 33 33 67840 17 24 27 31 32 32 Table1 6: Number of outer Schur complement iterations vs. problem size for the different values of Poisson ratio s The experiments with the I-AMLI preconditioning technique show very good performance and scalability of the latter method.... In PAGE 20: ...13 111.81 Table1... In PAGE 21: ...13 88.88 Table1... In PAGE 22: ...44 1928.67 Table1... ..."

"... In PAGE 2: ... In this paper, we take into account the entire body of non-con dential data 2.2 Metric Table1 shows an instant view of a relational data table. Modi cation results in placing perhaps more \? quot;s in the database.... ..."

"... In PAGE 26: ... However, some timing failures that are embedded in short paths may not cause delay faults at normal operating conditions. Table3 -1 lists the causes of timing failures and the possible testing techniques for detecting them. Although all of these failures may be detected by delay fault testing, the success of detection depends on the significance of the excessive delay in the defective circuit.... In PAGE 27: ...3.1 Causes and Failure Modes of Timing Failures Table3 -1 lists the causes of timing failures. Transmission gate opens occur when one of the transistors in a CMOS transmission gate is malfunctioning and cannot pass any signals.... In PAGE 28: ... Tunneling opens allow CUTs to be functional at low frequencies but cause failures at higher frequencies [Henderson 91]. Table3 -2 summarizes the failure modes of the timing failures described above. This chapter discusses how VLV testing can improve the detectability of timing failures that are caused by degraded signals and by transistors with lowered driving capabilities.... In PAGE 29: ... Table3 -2 Failure Modes of Timing Failures Causes Failure Modes Transmission gate opens Degraded signals Threshold voltage shifts Increased gate delays Slow-to-fall signals Diminished-drive gates Increased gate delays Slow-to-rise signals Slow-to-fall signals Gate oxide shorts Degraded signals Increased leakage Metal shorts Degraded signals Increased leakage Defective interconnect buffers Degraded signals Increased gate delays Increased RC delays Increased leakage Opens High resistance interconnects, via defects Increased RC delays Slow-to-rise signals Slow-to-fall signals Tunneling opens CUT fails at high frequencies 3.2 Voltage Dependence of CMOS Propagation Delay VLV testing is most effective in detecting delay flaws when the supply voltage is around the value where the propagation delay of a circuit starts to change significantly as the supply voltage is reduced.... In PAGE 31: ...5Vt, which is the same as the voltage range for VLV testing proposed in Chapter 2. Table3 -3 lists the delay ratios of WD and fault-free gates at different voltages for... In PAGE 32: ....6 m m technology can be found in Appendix B. As shown in Appendix B, we also used more complicated circuits to verify the conclusion. Figure 3-2 Voltage Dependence of the Change Rate of the Propagation Delay of a CMOS Inverter Table3 -3 WD Delay Ratios for the 0.8 m m Technology Vdd Vdd / Vtn Td(Vdd )* a TWD(Vdd)** Delay Ratio TWD(Vdd)/ Td(Vdd) 1.... In PAGE 35: ...nd the 0.6 m m technology are similar, only the results for the 0.6 m m technology are discussed in this dissertation. Table3 -4 shows the simulation results for the 0.6 m m technology.... In PAGE 36: ... Table3 -4 Delay Ratio between Faulty and Fault-Free High-Drive Gate in Fig. 3-3 for the 0.... ..."

"... In PAGE 9: ...ontroller systematically. Additional hardware components, e.g. LFSR and MISR and suitable test instructions can be added to allow test methodology applied to the selected cores (see Table1 ). LFSR and MISR are not regular registers and new instructions for these two registers perform two jobs when these instructions are used.... In PAGE 19: ... A test evaluation framework for processors. Table1... ..."