Size: px
Start display at page:

Download ""

Transcription

1

2

3

4

5 o o o

6 o o TOS PDI IBM DS 7.5 IBM DS PX 7.5 INFA PWC Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Test Total

7

8

9

10

11

12

13 Lines TOS ,00 7,80 39,10 162,09 PDI ,00 15,50 83,80 417,80 IBM DS 7.5 2,00 4,00 12,50 66,00 IBM DS PX 7.5 3,40 12,00 40,00 150,00 INFA PWC ,00 7,00 18,00 74,00

14

15

16

17 Lines TOS ,26 144,50 731,78 PDI ,90 151,80 843,90 TOS with Extended Insert 2,60 25,00 129,00

18

19

20

21

22

23

24 Lines TOS ,25 6,26 14,25 PDI ,78 21,20 37,40 IBM DS 7.5 4,00 11,00 19,00 IBM DS PX 7.5 4,00 8,00 15,00 INFA PWC

25

26

27

28

29

30

31 Lines TOS ,36 22,12 49,66 PDI ,60 30,60 72,70 IBM DS 7.5 3,00 18,00 40,00 IBM DS PX 7.5 6,00 27,00 55,00 INFA PWC

32

33

34

35

36

37

38

39

40

41

42

43

44 Lines TOS ,30 8,50 43,10 183,13 PDI ,30 51,00 259, ,10 IBM DS 7.5 2,00 10,00 56,00 178,00 IBM DS PX 7.5 4,75 11,33 41,00 155,00 INFA PWC ,00 6,00 17,00 74,00

45

46

47

48

49

50

51 Lines TOS ,24 1,4 1,69 PDI ,26 22,26 47,80 IBM DS 7.5 2,40 8,00 13,67 IBM DS PX 7.5 8,00 12,00 17,50 INFA PWC

52

53

54

55

56

57

58 Lines TOS ,99 23,26 52,72 PDI ,35 201,60 382,60 IBM DS ,70 65,00 116,00 IBM DS PX ,00 30,50 47,50 INFA PWC

59

60

61

62

63

64

65 Sorted by age Lines TOS ,44 15,73 188, ,03 PDI ,63 32,85 155,95 668,20 IBM DS 7.5 4,20 60,70 267,70 IBM DS PX 7.5 4,00 16,25 64,50 492,67 INFA PWC ,00 13,00 50,00 201,00

66 Sorted by firstname Lines TOS ,69 18,05 168, ,20 PDI ,40 31,20 157,15 739,20 IBM DS 7.5 6,00 58,00 426,00 IBM DS PX 7.5 4,00 16,00 57,00 624,00 INFA PWC ,00 13,00 51,00 223,00

67 Sorted by age & firstname Lines TOS ,33 17,40 225, ,00 PDI ,22 29,27 159,10 842,20 IBM DS 7.5 7,33 60,00 360,00 IBM DS PX 7.5 4,50 16,33 59,00 582,50 INFA PWC ,00 13,00 49,00 211,00

68

69

70

71

72

73

74

75

76 Group by Age (Count) Lines TOS ,62 6,99 30,05 124,16 PDI ,70 26,53 134,30 466,50 IBM DS 7.5 2,00 6,00 21,00 128,00 IBM DS PX 7.5 4,00 6,50 21,33 78,00 INFA PWC ,00 5,00 8,00 27,00

77 Group by Age (Count, Sum(Rate), Avg(Rate), Min(Rate), Max(Rate)) Lines TOS ,84 7,44 37,61 139,12 PDI ,60 25,20 138,30 426,00 IBM DS 7.5 2,00 11,00 50,00 184,00 IBM DS PX ,25 15,33 33,50 254,33 INFA PWC ,00 6,00 12,00 38,00

78 Group by FirstName (Count) Lines TOS ,86 7,89 198,79 928,08 PDI ,70 29,70 162,30 544,00 IBM DS 7.5 2,00 14,00 68,00 424,00 IBM DS PX 7.5 4,50 11,00 40,00 505,00 INFA PWC

79

80

81

82

83

84

85

86

87

88

89

90

91 Lookup rows ~7MB Lines TOS ,45 6,39 28,72 108,37 PDI ,14 21,40 87,60 288,90 IBM DS 7.5 5,00 10,60 33,00 139,00 IBM DS PX 7.5 5,00 12,20 40,00 122,00 INFA PWC ,00 11,00 32,00 116,00

92 Lookup rows ~34MB Lines TOS ,9 8,89 32,36 115,67 PDI ,90 24,50 97,40 291,10 IBM DS ,00 33,00 56,00 195,00 IBM DS PX 7.5 7,00 13,00 40,00 122,00 INFA PWC ,00 11,00 33,00 122,00

93 Lookup rows ~68MB Lookup rows ~68MB Lines TOS ,86 14,26 38,6 121,44 PDI ,50 32,20 116,60 487,25 IBM DS ,30 80,00 102,00 203,00 IBM DS PX 7.5 9,25 15,00 40,00 123,00 INFA PWC ,00 12,00 35,00 142,00

94 Lookup rows ~365MB Lines TOS ,51 69,1 199,26 557,1 PDI IBM DS ,00 407,00 496,00 973,00 IBM DS PX ,00 30,00 55,00 134,00 INFA PWC ,00 14,00 42,00 141,00

95

96

97

98

99

100

101

102

103

104

105

106

107

108 Lookup rows ~7MB Lines TOS ,51 6,74 29,55 101,65 PDI ,30 17,10 78,40 305,00 IBM DS 7.5 6,00 10,50 36,00 144,00 IBM DS PX 7.5 7,00 14,00 41,00 137,00 INFA PWC ,00 10,00 33,00 120,00

109 Lookup rows ~34MB Lines TOS ,26 9,28 32,44 111,98 PDI ,80 20,50 81,50 310,00 IBM DS ,60 34,00 57,00 173,00 IBM DS PX 7.5 7,50 14,25 44,67 155,20 INFA PWC ,00 10,00 34,00 126,00

110

111 Lookup rows ~68MB Lines TOS ,2 15,22 38,31 126,63 PDI ,10 32,35 111,35 319,05 IBM DS ,00 68,00 95,00 220,00 IBM DS PX 7.5 9,00 18,00 51,00 153,33 INFA PWC ,00 14,00 34,00 130,00

112

113

114

115

116

117

118

119

120

121

122

123

124

125

126 Lookup rows ~7MB Lines TOS ,42 5,65 24,63 106,78 PDI ,60 13,00 59,80 327,60 IBM DS 7.5 6,00 10,00 30,00 137,00 IBM DS PX 7.5 9,00 15,25 47,33 146,00 INFA PWC ,00 12,00 33,00 121,00

127 Lookup rows ~34MB Lines TOS ,16 8,74 30,34 120,53 PDI ,26 19,30 72,25 319,60 IBM DS ,00 35,50 63,00 189,50 IBM DS PX ,00 16,00 44,00 150,00 INFA PWC

128 Lookup rows ~68MB Lines TOS ,98 15,18 38,49 126,57 PDI ,30 27,35 79,00 413,45 IBM DS ,49 90,40 108,00 231,00 IBM DS PX ,00 19,00 49,00 134,00 INFA PWC

129 Test 1: File Input Delimited > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows This is a Disk Bounded test Test 2: File Input Delimited > Table MySQL Output Not Applicable Test 3: Table Oracle Input > File Output Delimited - no partitioning as it's too small in volume and short in time Test 4: File Input Delimited > Table Output Oracle BULK

130 - commit size at dynamic partitioning at 2 with 2 millions rows This is a Disk Bounded test Test 5: File Input Delimited > Transform > File Output Delimited - function "CONCAT(CONCAT(firstname,' '),lastname)" is replaced by "firstname ' ' lastname" - dynamic partitioning at 2 with more than 5 millions rows This is a Disk Bounded test Test 6: Table Input Oracle > Aggregation > Table Output Oracle (ELT) - no partitioning as it's too small in volume and short in time Oracle database is not 'tuned' for ELT mode Test 7: Tables Input Oracle > Transformation > Tables Output Oracle (ELT) - commit size at no partitioning as it's too small in volume and short in time Oracle database is not 'tuned' for ELT mode Test 8: File Input Delimited > Sort > File Output Delimited - sorter memory adjustment This is a memory limited test at 20 millions rows (2 pass sort are required) and also disk limited sometime Test 9: File Input Delimited > Aggregate > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows in source - aggregator memory adjustment This is a CPU bounded test Test 10: File Input Delimited > Lookup > File Output Delimited - dynamic partitioning at 2 with more than 5 millions rows in source or lookup - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test Test 11: File Input Delimited > Lookup > File Output Delimited && rejects - use of router in place of filters - dynamic partitioning at 2 with more than 5 millions rows in source - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test Test 12: file_input_delimited >_file_lookup_delimited > file_output_delimited rejects && innerjoin_rejects_file_output_delimited - use of router in place of filters - dynamic partitioning at 2 with more than 5 millions rows in source - lookup memory adjustment - lookup in the flow with hash partitioning point This is a CPU bounded test

DB2 SQL for the 21 st Century: Overlooked Enhancements. David Simpson

DB2 SQL for the 21 st Century: Overlooked Enhancements. David Simpson DB2 SQL for the 21 st Century: Overlooked Enhancements David Simpson dsimpson@themisinc.com Themis Education Most complete DB2 Curriculum in the industry Offerings include a complete mainframe curriculum

More information

Lab 15: EXL3 Microsoft Excel s AutoFill Tool, Multiple Worksheets, Charts and Conditional Formatting

Lab 15: EXL3 Microsoft Excel s AutoFill Tool, Multiple Worksheets, Charts and Conditional Formatting Lab 15: EXL3 Microsoft Excel s AutoFill Tool, Multiple Worksheets, Charts and Conditional Formatting Learn how to work with multiple worksheets, use the AutoFill tool, charts, and apply conditional formatting

More information

Introduction to tablebase and tablebase Family. William Weber. Market Experts Distribution, SL

Introduction to tablebase and tablebase Family. William Weber. Market Experts Distribution, SL Introduction to tablebase and tablebase Family William Weber Market Experts Distribution, SL Presentation Outline Introduction to DataKinetics tablebase tablebase Product Family Who Is DataKinetics? Established

More information

<Insert Picture Here> Using ERPi for EBS/FDM Data Loads into HFM

<Insert Picture Here> Using ERPi for EBS/FDM Data Loads into HFM Using ERPi for EBS/FDM Data Loads into HFM Wayne Paffhausen Senior Technical Support Engineer Program Agenda Create a Link inside of ERPi to the HFM Application Create an Import Format

More information

A Memory-Efficient Method for Fast Computation of Short 15-Puzzle Solutions

A Memory-Efficient Method for Fast Computation of Short 15-Puzzle Solutions A Memory-Efficient Method for Fast Computation of Short 15-Puzzle Solutions Ian Parberry Technical Report LARC-2014-02 Laboratory for Recreational Computing Department of Computer Science & Engineering

More information

Compressing Pattern Databases

Compressing Pattern Databases Compressing Pattern Databases Ariel Felner and Ram Meshulam Computer Science Department Bar-Ilan University Ramat-Gan, Israel 92500 Email: ffelner,meshulr1g@cs.biu.ac.il Robert C. Holte Computing Science

More information

Principles of Ad Hoc Networking

Principles of Ad Hoc Networking Principles of Ad Hoc Networking Michel Barbeau and Evangelos Kranakis November 12, 2007 Wireless security challenges Network type Wireless Mobility Ad hoc Sensor Challenge Open medium Handover implies

More information

Place value disks activity: learn addition and subtraction with large numbers

Place value disks activity: learn addition and subtraction with large numbers Place value disks activity: learn addition and subtraction with large numbers Our place value system can be explained using Singapore Math place value disks and 2 mats. The main rule is: value depends

More information

MonetDB & R. amst-r-dam meet-up, Hannes Mühleisen

MonetDB & R. amst-r-dam meet-up, Hannes Mühleisen MonetDB & R amst-r-dam meet-up, 203-0-4 Hannes Mühleisen Collect data Growing Load data Filter, transform & aggregate data Analyze & Plot Not really Analysis features Publish paper/ Profit Problem: #BiggeR

More information

Census Data and UK Data Service Census Support.

Census Data and UK Data Service Census Support. Census Data and UK Data Service Census Support. James Crone UK Data Service EDINA UK Data Service Census Support census geography course University of Edinburgh 6th June 2013 Poll Have you used census

More information

Organized Play Database. Anders Lykkehoy

Organized Play Database. Anders Lykkehoy Organized Play Database Anders Lykkehoy Table of Contents 2 Executive Summary Entity-Relationship Diagram Tables: - Set - Card - Deck - DeckList - JudgeLevel - GameType - Tier - Tournament - Person - Judge

More information

Previous Lecture. How can computation sort data faster for you? Sorting Algorithms: Speed Comparison. Recursive Algorithms 10/31/11

Previous Lecture. How can computation sort data faster for you? Sorting Algorithms: Speed Comparison. Recursive Algorithms 10/31/11 CS 202: Introduction to Computation " UIVERSITY of WISCOSI-MADISO Computer Sciences Department Professor Andrea Arpaci-Dusseau How can computation sort data faster for you? Previous Lecture Two intuitive,

More information

CSC 343 Inverted course material: SQL subqueries

CSC 343 Inverted course material: SQL subqueries CSC 343 Inverted course material: SQL subqueries 1 Schema and data We are using the IMDB database. Note that the schema contains more relations than the ones you need to work on the queries below. We have

More information

Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control

Increasing Buffer-Locality for Multiple Index Based Scans through Intelligent Placement and Index Scan Speed Control IM Research Increasing uffer-locality for Multiple Index ased Scans through Intelligent Placement and Index Scan Speed Control Christian A. Lang ishwaranjan hattacharjee Tim Malkemus Database Research

More information

an Introduction ETD Preparation and Submission Marshall University Graduate College July 6, 2011

an Introduction ETD Preparation and Submission Marshall University Graduate College July 6, 2011 an Introduction to ETD Preparation and Submission 1 Understanding the ETD Process We are here to help! Donna Spindel, Ph.D. Dean, Graduate College Old Main 113 304.696.6606 graduatecollege@marshall.edu

More information

How to write a scholarship rejection letter

How to write a scholarship rejection letter How to write a scholarship rejection letter Search 13-9-2013 Need advice on how to write a winning scholarship essay? Follow these top tips from a successful scholarship applicant. 21-3-2016 One of the

More information

NetApp Sizing Guidelines for MEDITECH Environments

NetApp Sizing Guidelines for MEDITECH Environments Technical Report NetApp Sizing Guidelines for MEDITECH Environments Brahmanna Chowdary Kodavali, NetApp March 2016 TR-4190 TABLE OF CONTENTS 1 Introduction... 4 1.1 Scope...4 1.2 Audience...5 2 MEDITECH

More information

Model Number: OmniBER 718 User Guide Date Printed: September 2000 Part Number:

Model Number: OmniBER 718 User Guide Date Printed: September 2000 Part Number: Manual Changes Manual Identification Model Number: OmniBER 718 User Guide Date Printed: September 2000 Part Number: 37718-90217 Manual Change Identification Part Number: 37718-90249 This supplement contains

More information

Similarity & Link Analysis. Stony Brook University CSE545, Fall 2016

Similarity & Link Analysis. Stony Brook University CSE545, Fall 2016 Similarity & Link nalysis Stony rook University SE545, Fall 6 Finding Similar Items? (http://blog.soton.ac.uk/hive//5//r ecommendation-system-of-hive/) (http://www.datacommunitydc.org/blog/ 3/8/entity-resolution-for-big-data)

More information

Relational Algebra Symbols

Relational Algebra Symbols Relational Algebra Symbols Unary Operators Selection p (T) takes a subset of rows, p is a predicate like a 1 > 3 Projection (a1, a2,...an) (T) takes a subset of columns, c1 cn are columns Renaming ρ (a1,

More information

ID Card Production Software

ID Card Production Software ID Card Production Software IDNow is a software program designed to produce plastic ID cards under the Windows operating system. The features of the Professional version are outlined below. Support for

More information

CHAPTER 1 INTRODUCTION. Infineon consists of two main companies which are:

CHAPTER 1 INTRODUCTION. Infineon consists of two main companies which are: CHAPTER 1 INTRODUCTION 1.1 Organization Background Infineon consists of two main companies which are: IFMY (Infineon Technologies Malaysia Sdn.Bhd) IFLP (Infineon (Advanced Logic) Sdn.Bhd) Infineon Technologies

More information

IBM PowerVM Express Edition and IBM Management Edition for AIX offerings help allocate systems resources to where they are needed

IBM PowerVM Express Edition and IBM Management Edition for AIX offerings help allocate systems resources to where they are needed IBM United States Announcement 208-011, dated January 29, 2008 IBM PowerVM Express Edition and IBM Management Edition for AIX offerings help allocate systems resources to where they are needed Description...3

More information

GD&T Administrator Manual v 1.0

GD&T Administrator Manual v 1.0 The GD&T Professional Edition GD&T Administrator Manual v 1.0 800-886-0909 Effective Training Inc. www.etinews.com Introduction to the GD&T Administrator s Manual There are two Administration programs

More information

Working Sample... Service For Life!

Working Sample... Service For Life! Working Sample... Of The #1 Direct-Response Real Estate Newsletter System, Designed To Grow Your Referrals and Repeats, Ever-Growing Client Flow, And Make You A Stand-Out Choice For Real Estate Services

More information

Schedule K Classification of Foreign Ports by Geographic Trade Area and Country

Schedule K Classification of Foreign Ports by Geographic Trade Area and Country Schedule K Classification of Foreign Ports by Geographic Trade Area and Country Comments or Questions Contact: WCSC (504) 862-1424, or (504) 862-1441 http://www.iwr.usace.army.mil/about/technical-centers/wcsc-waterborne-commerce-statistics-center/

More information

Towards Real-Time Volunteer Distributed Computing

Towards Real-Time Volunteer Distributed Computing Towards Real-Time Volunteer Distributed Computing Sangho Yi 1, Emmanuel Jeannot 2, Derrick Kondo 1, David P. Anderson 3 1 INRIA MESCAL, 2 RUNTIME, France 3 UC Berkeley, USA Motivation Push towards large-scale,

More information

Windows INSTRUCTION MANUAL

Windows INSTRUCTION MANUAL Windows E INSTRUCTION MANUAL Contents About This Manual... 3 Main Features and Structure... 4 Operation Flow... 5 System Requirements... 8 Supported Image Formats... 8 1 Installing the Software... 1-1

More information

NIKON D7100 GUIDES PDF

NIKON D7100 GUIDES PDF NIKON D7100 GUIDES PDF ==> Download: NIKON D7100 GUIDES PDF NIKON D7100 GUIDES PDF - Are you searching for Nikon D7100 Guides Books? Now, you will be happy that at this time Nikon D7100 Guides PDF is available

More information

The Editor GT ink jet controller

The Editor GT ink jet controller The Editor GT ink jet controller Added value applications for variable data printing Converts your production line into generating unique printed products that add value to your business Scan the code

More information

Managing Microservices Using Terraform, Docker, and the Cloud

Managing Microservices Using Terraform, Docker, and the Cloud DW2 Docker Containers Wednesday, June 6th, 2018, 11:30 AM Managing Microservices Using Terraform, Docker, and the Cloud Presented by: Derek Ashmore Asperitas Consulting Brought to you by: 350 Corporate

More information

Managing Complex Land Mobile Radio Systems

Managing Complex Land Mobile Radio Systems Anyone responsible for a multiple-site, multiple-channel land mobile radio communications system knows that management of even just a single site can often be a complex task. Failures or degradation in

More information

Development of Innovation Strategy and Patent Systems. Paik Saber Assistant General Counsel, IP Law IBM Asia Pacific

Development of Innovation Strategy and Patent Systems. Paik Saber Assistant General Counsel, IP Law IBM Asia Pacific Development of Innovation Strategy and Patent Systems Paik Saber Assistant General Counsel, IP Law IBM Asia Pacific June 11, 2009 The world as it was: Industrial Age (1970 s) GDP (1970): 1.04 trillion

More information

6. Games. COMP9414/ 9814/ 3411: Artificial Intelligence. Outline. Mechanical Turk. Origins. origins. motivation. minimax search

6. Games. COMP9414/ 9814/ 3411: Artificial Intelligence. Outline. Mechanical Turk. Origins. origins. motivation. minimax search COMP9414/9814/3411 16s1 Games 1 COMP9414/ 9814/ 3411: Artificial Intelligence 6. Games Outline origins motivation Russell & Norvig, Chapter 5. minimax search resource limits and heuristic evaluation α-β

More information

GigaPX Tools 2.0. Solutions for oversized images

GigaPX Tools 2.0. Solutions for oversized images Solutions for oversized images Michele Bighignoli February 2016 Contents Introduction...1 Choose the right version...1 Format conversion...2 Crop image...5 Image resize...6 Split image...7 Merge tiles...9

More information

Link State Routing. Brad Karp UCL Computer Science. CS 3035/GZ01 3 rd December 2013

Link State Routing. Brad Karp UCL Computer Science. CS 3035/GZ01 3 rd December 2013 Link State Routing Brad Karp UCL Computer Science CS 33/GZ 3 rd December 3 Outline Link State Approach to Routing Finding Links: Hello Protocol Building a Map: Flooding Protocol Healing after Partitions:

More information

Implementing VID Function with Platform Manager 2

Implementing VID Function with Platform Manager 2 September 2017 Introduction Application Note AN6092 High performance systems require precise power supplies to compensate for manufacturing and environmental variations. Voltage Identification (VID) is

More information

APPLICATION NOTE. Computer Controlled Variable Attenuator for Lasers. Technology and Applications Center Newport Corporation

APPLICATION NOTE. Computer Controlled Variable Attenuator for Lasers. Technology and Applications Center Newport Corporation APPLICATION NOTE Computer Controlled Variable Attenuator for Lasers 31 Technology and Applications Center Newport Corporation Computer Controlled Variable Attenuator for Lasers This application note describes

More information

< The Family Demographics table contains the family demographic data, including home address and phone number

< The Family Demographics table contains the family demographic data, including home address and phone number The Church Executive Family Demographics Introduction Index Introduction... 1 Definitions... 2 Drop-down Lists... 3 User-defined fields... 4 Procedure... 5 Fields... 6 Family Members... 9 The Family Demographics

More information

Ringgold External Identify Database Schema

Ringgold External Identify Database Schema Ringgold External Identify Database Schema Introduction... 2 New in this version... 2 General... 2 Coverage and frequency... 2 Data supplied... 2 Institutions and ringgold_ids... 2 Tables... 2 Loading

More information

Multiple Downstream Profile Implications. Ed Boyd, Broadcom

Multiple Downstream Profile Implications. Ed Boyd, Broadcom Multiple Downstream Profile Implications Ed Boyd, Broadcom 1 Overview EPON is a broadcast downstream with a constant data rate. Using Multiple Modulation profiles for groups of CNUs will be considered

More information

Back up your data regularly to protect against loss due to power failure, disk damage, or other mishaps. This is very important!

Back up your data regularly to protect against loss due to power failure, disk damage, or other mishaps. This is very important! Overview StatTrak for Soccer is a soccer statistics management system for league, tournament, and individual teams. Keeps records for up to 100 teams per directory (99 players per team). Tracks team and

More information

Final Report: DBmbench

Final Report: DBmbench 18-741 Final Report: DBmbench Yan Ke (yke@cs.cmu.edu) Justin Weisz (jweisz@cs.cmu.edu) Dec. 8, 2006 1 Introduction Conventional database benchmarks, such as the TPC-C and TPC-H, are extremely computationally

More information

RMF Post Processor Report JCL Samples for Use with RMF Spreadsheet Reporter

RMF Post Processor Report JCL Samples for Use with RMF Spreadsheet Reporter RMF Post Processor Report JCL Samples for Use with RMF Spreadsheet Reporter GSE z/os Expertforum CH, 26.9.2007 Silvio Sasso IBM Switzerland, Global Technology Services sisa@ch.ibm.com S. Sasso, IBM Switzerland,

More information

APPLICATION NOTE. Computer Controlled Variable Attenuator for Tunable Lasers. Technology and Applications Center Newport Corporation

APPLICATION NOTE. Computer Controlled Variable Attenuator for Tunable Lasers. Technology and Applications Center Newport Corporation APPLICATION NOTE Computer Controlled Variable Attenuator for Tunable Lasers 30 Technology and Applications Center Newport Corporation Computer-Controlled Variable Attenuator for Tunable Lasers This application

More information

User requirements for remote accessed instruments in material science

User requirements for remote accessed instruments in material science User requirements for remote accessed instruments in material science Yu. Kalvachev 1, V. Ganev 1, L. Macheva 1, J. Harizanova 2 1 Central Laboratory of Mineralogy and Crystallography, Bulgarian Academy

More information

COMPUTER AIDED DESIGNING OF THE CABINET FURNITURE. Teofil MIHAILESCU, Wilhelm LAURENZI, Viorel POPA. Universitatea "Transilvania" din Brasov

COMPUTER AIDED DESIGNING OF THE CABINET FURNITURE. Teofil MIHAILESCU, Wilhelm LAURENZI, Viorel POPA. Universitatea Transilvania din Brasov UNIVERSITATEA TRANSILVANIA DIN BRA'OV Catedra Design de Produs +i Robotic- Simpozionul na0ional cu participare interna0ional1 PRoiectarea ASIstat1 de Calculator P R A S I C ' 02 Vol. III Design de Produs

More information

Info theory and big data

Info theory and big data Info theory and big data Typical or not typical, that is the question Han Vinck University Duisburg Essen, Germany September 2016 A.J. Han Vinck, Yerevan, September 2016 Content: big data issues A definition:

More information

Balance. Sketchbook Pages

Balance. Sketchbook Pages Balance Sketchbook Pages Balance Page Requirements: Using LARGE text TITLE your page- Balance. Add a tab to your page, write Balance on your tab Book Definition: Balance is the principle of art concerned

More information

The Senses model was developed for indoors use (museum, shopping, restaurants, coffes, offices, etc.) and can be wall mounted or placed on a table.

The Senses model was developed for indoors use (museum, shopping, restaurants, coffes, offices, etc.) and can be wall mounted or placed on a table. The Senses model was developed for indoors use (museum, shopping, restaurants, coffes, offices, etc.) and can be wall mounted or placed on a table. This model can be manufactured in stainless steel or

More information

FAST TRACK READ ME FIRST! FAST TRACK E300 A Quick-Start Guide to Installing and Using Your COOLPIX 300. Contents. Nikon View... 25

FAST TRACK READ ME FIRST! FAST TRACK E300 A Quick-Start Guide to Installing and Using Your COOLPIX 300. Contents. Nikon View... 25 READ ME FIRST! FAST TRACK FAST TRACK E300 A Quick-Start Guide to Installing and Using Your COOLPIX 300 Contents Checklist Before you begin... 2 Using the COOLPIX 300... 4 GETTING TO KNOW YOUR COOLPIX 300...

More information

Writing a Research Paper with Ease

Writing a Research Paper with Ease Writing a Research Paper with Ease What s in store! Why learn about research papers? Step 1: Think Step 2: Find Step 3: Read Step 4: Brainstorm Step 5: Thesis Step 6: Introduction Step 7: Body Step 8:

More information

Transaction Log Fundamentals for the DBA

Transaction Log Fundamentals for the DBA Transaction Log Fundamentals for the DBA Visualize Your Transaction Log Brian Hansen St. Louis, MO September 10, 2016 Brian Hansen 15+ Years working with SQL Server Development work since 7.0 Administration

More information

MITOCW watch?v=zkcj6jrhgy8

MITOCW watch?v=zkcj6jrhgy8 MITOCW watch?v=zkcj6jrhgy8 The following content is provided under a Creative Commons license. Your support will help MIT OpenCourseWare continue to offer high quality educational resources for free. To

More information

Case Study. British Library 19th Century Book Digitisation Project

Case Study. British Library 19th Century Book Digitisation Project Case Study British Library 19th Century Book Digitisation Project I. Introduction 1. About the British Library The British Library is the national library of the United Kingdom. It holds over 150 million

More information

Byte = More common: 8 bits = 1 byte Abbreviation:

Byte = More common: 8 bits = 1 byte Abbreviation: Text, Images, Video and Sound ASCII-7 In the early days, a was used, with of 0 s and 1 s, enough for a typical keyboard. The standard was developed by (American Standard Code for Information Interchange)

More information

File Specification for the Exact Change Import file

File Specification for the Exact Change Import file File Specification for the Exact Change Import file Applies to Windows Edition 5.10.0.152 or latter Applies to Macintosh Edition 3.0.34 or later The Exact Change import file is a standard comma delimited

More information

Chapter 4 Heuristics & Local Search

Chapter 4 Heuristics & Local Search CSE 473 Chapter 4 Heuristics & Local Search CSE AI Faculty Recall: Admissable Heuristics f(x) = g(x) + h(x) g: cost so far h: underestimate of remaining costs e.g., h SLD Where do heuristics come from?

More information

Implementation and Analysis of Iterative MapReduce Based Heuristic Algorithm for Solving N-Puzzle

Implementation and Analysis of Iterative MapReduce Based Heuristic Algorithm for Solving N-Puzzle 420 JOURNAL OF COMPUTERS, VOL. 9, NO. 2, FEBRUARY 2014 Implementation and Analysis of Iterative MapReduce Based Heuristic Algorithm for Solving N-Puzzle Rohit P. Kondekar Visvesvaraya National Institute

More information

Legal Information System: A Model Framework for Indian High Courts

Legal Information System: A Model Framework for Indian High Courts http://everant.in/journal/index.php/sshj Research Article Social Science and Humanities Journal Legal Information System: A Model Framework for Indian High Courts Dr. Kamran Khan Junior professional assistant

More information

Communications Planner for Operational and Simulation Effects With Realism (COMPOSER)

Communications Planner for Operational and Simulation Effects With Realism (COMPOSER) Communications Planner for Operational and Simulation Effects With Realism (COMPOSER) Alan J. Scrime CERDEC Chief, Spectrum Analysis & Frequency Management Branch (732) 427-6346, alan.scrime@us.army.mil

More information

CSE6488: Mobile Computing Systems

CSE6488: Mobile Computing Systems CSE6488: Mobile Computing Systems Sungwon Jung Dept. of Computer Science and Engineering Sogang University Seoul, Korea Email : jungsung@sogang.ac.kr Your Host Name: Sungwon Jung Email: jungsung@sogang.ac.kr

More information

DCN Z44035C30DES00R02. Advanced Traffic Management System (ATMS) Release 2. Code Specifications (540) - SWARM

DCN Z44035C30DES00R02. Advanced Traffic Management System (ATMS) Release 2. Code Specifications (540) - SWARM Advanced Traffic Management System (ATMS) Release 2 Code Specifications (540) - SWARM Author: File Name: Revised Date: NET ATMS540_SWARM_FINAL TABLE OF CONTENTS 1.0 INTRODUCTION... 4 1.1 Purpose of Document...4

More information

Hello and welcome to the CPA Australia podcast. Your weekly source of business, leadership, and public practice accounting information.

Hello and welcome to the CPA Australia podcast. Your weekly source of business, leadership, and public practice accounting information. Intro: Hello and welcome to the CPA Australia podcast. Your weekly source of business, leadership, and public practice accounting information. In this podcast I wanted to focus on Excel s functions. Now

More information

Enhanced Storage and Network Function Innovation to Quality Management

Enhanced Storage and Network Function Innovation to Quality Management Network Sensor Series (with Digital Interface Cameras) -C10-ETN/ F500-C10-ETN Sensor (with Digital Interface Cameras) F500-C10 Enhanced Storage and Network Function Innovation to Quality Management High

More information

Towards 100G over Copper

Towards 100G over Copper IEEE 8.3 Higher Speed Study Group Towards G over Copper Faculty Investigator: Dr. M. Kavehrad Graduate Researchers: Mr. A. Enteshari Mr. J. Fadlullah The Pennsylvania State University Center for Information

More information

Class XII A. Mock Pre Board Exam - Syllabus ( ) English. Maths. Economics. History. Geography. Home Science. Psychology

Class XII A. Mock Pre Board Exam - Syllabus ( ) English. Maths. Economics. History. Geography. Home Science. Psychology Application for a job Article, Report Speech, Debate Chapter -4: Determinants (4.3 4.6) Consumer s Equilibrium and Demand Producer Behaviour and Supply Forms of Market and Price Determination Book I Theme

More information

SOME MORE DECREASE AND CONQUER ALGORITHMS

SOME MORE DECREASE AND CONQUER ALGORITHMS What questions do you have? Decrease by a constant factor Decrease by a variable amount SOME MORE DECREASE AND CONQUER ALGORITHMS Insertion Sort on Steroids SHELL'S SORT A QUICK RECAP 1 Shell's Sort We

More information

Supplementary Materials for

Supplementary Materials for advances.sciencemag.org/cgi/content/full/1/11/e1501057/dc1 Supplementary Materials for Earthquake detection through computationally efficient similarity search The PDF file includes: Clara E. Yoon, Ossian

More information

OmniBevel 2017 Best-in-class technology for bevel cutting

OmniBevel 2017 Best-in-class technology for bevel cutting OmniBevel 2017 Best-in-class technology for bevel cutting OmniBevel 2017 is the professional software product for bevel cutting. It represents straight cuts, cylindrical holes, exact bevel angles and parts

More information

The Quake-Catcher Network: A Volunteer Distributed Computing Seismic Network

The Quake-Catcher Network: A Volunteer Distributed Computing Seismic Network The Quake-Catcher Network: A Volunteer Distributed Computing Seismic Network http://qcn.stanford.edu Carl Christensen Stanford University Elizabeth S. Cochran UC Riverside Jesse F. Lawrence Stanford University

More information

Metadata for Photographs SHN Post-Conference Workshop - ATALM 2016 Part 2: Image Digitization

Metadata for Photographs SHN Post-Conference Workshop - ATALM 2016 Part 2: Image Digitization Metadata for Photographs SHN Post-Conference Workshop - ATALM 2016 Part 2: Image Digitization Example of a Data Dictionary: The table below is an example of a simple data dictionary using the Dublin Core

More information

Q A bitmap file contains the binary on the left below. 1 is white and 0 is black. Colour in each of the squares. What is the letter that is reve

Q A bitmap file contains the binary on the left below. 1 is white and 0 is black. Colour in each of the squares. What is the letter that is reve R 25 Images and Pixels - Reading Images need to be stored and processed using binary. The simplest image format is for an image to be stored as a bitmap image. Bitmap images are made up of picture elements

More information

CS 758/858: Algorithms

CS 758/858: Algorithms CS 758/858: Algorithms http://www.cs.unh.edu/~ruml/cs758 1 handout: slides Wheeler Ruml (UNH) Class 2, CS 758 1 / 19 Counting Sort O() O() Example Stable Counting Wheeler Ruml (UNH) Class 2, CS 758 2 /

More information

Autonomous Face Recognition

Autonomous Face Recognition Autonomous Face Recognition CymbIoT Autonomous Face Recognition SECURITYI URBAN SOLUTIONSI RETAIL In recent years, face recognition technology has emerged as a powerful tool for law enforcement and on-site

More information

Media & Entertainment Venture Capital In The US - Industry Market Research Report [Download: PDF] [Digital] By IBISWorld READ ONLINE

Media & Entertainment Venture Capital In The US - Industry Market Research Report [Download: PDF] [Digital] By IBISWorld READ ONLINE Media & Entertainment Venture Capital In The US - Industry Market Research Report [Download: PDF] [Digital] By IBISWorld READ ONLINE Outlook is a comprehensive online source of global analysis for consumer

More information

M F TYPE S R-SETUP. Setup Software

M F TYPE S R-SETUP. Setup Software M0006935F TYPE S R-SETUP Setup Software Preface This user s manual explains the use and specifications of the Setup Software for AC servo amplifier R series. Notifications on this User s Manual: To completely

More information

Section SN [SOCIAL NETWORK] Sequence: 8

Section SN [SOCIAL NETWORK] Sequence: 8 NHATS Round 3 Section SN [SOCIAL NETWORK] Sequence: 8 BOX SN1 BOX SN1 NOT ON FILE If PROXY flag = 1 (YES), go to Section HO Home Environment. Otherwise, go to SN1PRE SN1PRE SN1PRE NOT ON FILE The next

More information

A Quick Introduction to Modular Arithmetic

A Quick Introduction to Modular Arithmetic A Quick Introduction to Modular Arithmetic Art Duval University of Texas at El Paso November 16, 2004 1 Idea Here are a few quick motivations for modular arithmetic: 1.1 Sorting integers Recall how you

More information

Computing Permutations with Stacks and Deques

Computing Permutations with Stacks and Deques Michael Albert 1 Mike Atkinson 1 Steve Linton 2 1 Department of Computer Science, University of Otago 2 School of Computer Science, University of St Andrews 7th Australia New Zealand Mathematics Convention

More information

Legal challenges 3D Printing A business perspective

Legal challenges 3D Printing A business perspective Legal challenges 3D Printing A business perspective Content of presentation Materialise Drivers for 3D Printing Business application: i.materialise Legal challenges IP infringement Regulated industries

More information

Baltic Marine Environment Protection Commission

Baltic Marine Environment Protection Commission Baltic Marine Environment Protection Commission Ad hoc Seal Expert Group Berlin, Germany, 2-4 December 2015 SEAL 9-2015, 5-1 Document title Development of a HELCOM database for seals Code 5-1 Category

More information

Database Operations at Groupon using Ansible. Mani Subramanian Sr. Manager Global Database Services Groupon

Database Operations at Groupon using Ansible. Mani Subramanian Sr. Manager Global Database Services Groupon Database Operations at Groupon using Ansible Mani Subramanian Sr. Manager Global Database Services Groupon manidba@groupon.com About me Worked as an Oracle DBA for 15+ years Branched out to MySQL since

More information

Introduction to. Algorithms. Lecture 10. Prof. Piotr Indyk

Introduction to. Algorithms. Lecture 10. Prof. Piotr Indyk 6.006- Introduction to Algorithms Lecture 10 Prof. Piotr Indyk Quiz Rules Do not open this quiz booklet until directed to do so. Read all the instructions on this page When the quiz begins, write your

More information

Arrays. Independent Part. Contents. Programming with Java Module 3. 1 Bowling Introduction Task Intermediate steps...

Arrays. Independent Part. Contents. Programming with Java Module 3. 1 Bowling Introduction Task Intermediate steps... Programming with Java Module 3 Arrays Independent Part Contents 1 Bowling 3 1.1 Introduction................................. 3 1.2 Task...................................... 3 1.3 Intermediate steps.............................

More information

Homework 2 Solutions. Perform.op analysis, the small-signal parameters of M1 and M2 are shown below.

Homework 2 Solutions. Perform.op analysis, the small-signal parameters of M1 and M2 are shown below. Problem 1 Homework 2 Solutions 1) Circuit schematic Perform.op analysis, the small-signal parameters of M1 and M2 are shown below. Small-signal parameters of M1 gds = 9.723u gm = 234.5u region = 2 vds

More information

Radivoje Đurić, 2015, Analogna Integrisana Kola 1

Radivoje Đurić, 2015, Analogna Integrisana Kola 1 Low power OTA 1 Two-Stage, Miller Op Amp Operating in Weak Inversion Low frequency response: gm1 gm6 Av 0 g g g g A v 0 ds2 ds4 ds6 ds7 I D m, ds D nvt g g I n GB and SR: GB 1 1 n 1 2 4 6 6 7 g 2 2 m1

More information

BACnet Protocol Implementation Conformance Statement

BACnet Protocol Implementation Conformance Statement BACnet Protocol Implementation Conformance Statement Date: 2012-06-27 Vendor Name: Trane Product Name: Trane TR150 Product Model Number: TR150 Applications Software Version: 3.0 Firmware Revision: 3.0

More information

Nova Full-Screen Calibration System

Nova Full-Screen Calibration System Nova Full-Screen Calibration System Version: 5.0 1 Preparation Before the Calibration 1 Preparation Before the Calibration 1.1 Description of Operating Environments Full-screen calibration, which is used

More information

Wireless systems. how radio works radio spectrum allocation examples. tradeoffs. non-technical issues

Wireless systems. how radio works radio spectrum allocation examples. tradeoffs. non-technical issues Wireless systems how radio works radio spectrum allocation examples cell phones 802.11 (WiFi) Bluetooth GPS RFID: prox, E-ZPass, store tags, passports,...... tradeoffs spectrum, power, range, size, weight,

More information

Intel's 65 nm Logic Technology Demonstrated on 0.57 µm 2 SRAM Cells

Intel's 65 nm Logic Technology Demonstrated on 0.57 µm 2 SRAM Cells Intel's 65 nm Logic Technology Demonstrated on 0.57 µm 2 SRAM Cells Mark Bohr Intel Senior Fellow Director of Process Architecture & Integration Intel 1 What are We Announcing? Intel has fabricated fully-functional

More information

Managing Microservices using Terraform, Docker, and the Cloud

Managing Microservices using Terraform, Docker, and the Cloud Managing Microservices using Terraform, Docker, and the Cloud Given by Derek C. Ashmore JavaOne Oct 2, 2017 2017 Derek C. Ashmore, All Rights Reserved 1 Who am I? Professional Geek since 1987 Java/J2EE/Java

More information

Skylanders Swap Force Wii Graphics

Skylanders Swap Force Wii Graphics Skylanders Swap Force Wii Graphics Read Book Online: Skylanders Swap Force Wii Graphics Download or read online ebook skylanders swap force wii graphics in any format for any devices. Skylanders Swap Force

More information

Analogue Signals. M J Brockway. February 5, 2018

Analogue Signals. M J Brockway. February 5, 2018 Analogue Signals M J Brockway February 5, 2018 Digital vs Analogue Digital (electrical) inputs to a CPU register as logical values - true or false, 1 or 0, on or off. typically arise from switch contacts

More information

Heuristic Search with Pre-Computed Databases

Heuristic Search with Pre-Computed Databases Heuristic Search with Pre-Computed Databases Tsan-sheng Hsu tshsu@iis.sinica.edu.tw http://www.iis.sinica.edu.tw/~tshsu 1 Abstract Use pre-computed partial results to improve the efficiency of heuristic

More information

GWiQ-P: : An Efficient, Decentralized Quota Enforcement Protocol

GWiQ-P: : An Efficient, Decentralized Quota Enforcement Protocol GWiQ-P: : An Efficient, Decentralized Grid-Wide Quota Enforcement Protocol Kfir Karmon, Liran Liss and Assaf Schuster Technion Israel Institute of Technology SYSTOR 2007 IBM HRL, Haifa, Israel Background

More information

Heuristics & Pattern Databases for Search Dan Weld

Heuristics & Pattern Databases for Search Dan Weld CSE 473: Artificial Intelligence Autumn 2014 Heuristics & Pattern Databases for Search Dan Weld Logistics PS1 due Monday 10/13 Office hours Jeff today 10:30am CSE 021 Galen today 1-3pm CSE 218 See Website

More information

Programming an Othello AI Michael An (man4), Evan Liang (liange)

Programming an Othello AI Michael An (man4), Evan Liang (liange) Programming an Othello AI Michael An (man4), Evan Liang (liange) 1 Introduction Othello is a two player board game played on an 8 8 grid. Players take turns placing stones with their assigned color (black

More information

The lump sum amount that a series of future payments is worth now; used to calculate loan payments; also known as present value function Module 3

The lump sum amount that a series of future payments is worth now; used to calculate loan payments; also known as present value function Module 3 Microsoft Excel Formulas Made Easy Key Terms Term Definition Introduced In Absolute reference A cell reference that is fixed to a specific cell and contains a constant value throughout the spreadsheet

More information

Galera Replicator IRL Art van Scheppingen Head of Database Engineering

Galera Replicator IRL Art van Scheppingen Head of Database Engineering Galera Replicator IRL Art van Scheppingen Head of Database Engineering Overview 1. Who are we? 2. What is Galera? 3. What is Spil Games using Galera for? 4. What have we learned? 5. Future technologies

More information