BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//ZContent.net//ZapCalLib 1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
BEGIN:VEVENT
DTSTART:20221214T000000
DTEND:20221214T000000
SUMMARY:Big Data Conference
UID:665object-computing-inc
DTSTAMP:20260425T185117
DESCRIPTION:Converting the Mountain of Data Collected by Railway Systems&nb
 sp\;into Effective Maintenance Planning Information with a Focus on&nbsp\;
 Railway Needs and Practical Applications\n\nKEYNOTE:&nbsp\;STEPHEN GARDNER
 \, CHIEF EXECUTIVE OFFICER\, AMTRAK\nOBJECT COMPUTING SPEAKERS:&nbsp\;Sess
 ion IIIB (3:45 -5:45p)&nbsp\;Big Data: Applications and Case Studies\, &ld
 quo\;Use of LIDAR data for Crossing Siteline Management and Vegetation&rdq
 uo\; by&nbsp\;Elvis Higgins and Dan Hampton CSX and Daniel Rusinek\nAbout 
 the Conference\nThis conference is organized by the University of Delaware
 &rsquo\;s&nbsp\;Railroad Engineering and Safety Program\, Big Data Center\
 , and the&nbsp\;College of Engineering\, Department of Civil and Environme
 ntal Engineering\nModern Railways are making increasing use of new generat
 ion inspection and operating technology to obtain more and more data on th
 e condition of the track\, equipment\, and operations. This extensive amou
 nt of data\, which includes data of increasing complexity as well as volum
 e\, has led to a condition known as &ldquo\;Big Data&rdquo\;\, where the v
 olume of data is such that traditional analysis techniques are no longer v
 iable to efficiently make use of all of this large volume of data.\nThus\,
  important information is often buried in this &ldquo\;mountain&rdquo\; of
  data. Since railways need to convert this data into useable information t
 o help them plan their maintenance and capital programs as well as their o
 ngoing operations\, there is a need for the application of new and improve
 d analysis techniques to make this conversion from data into information. 
 One such area of improved data analysis is the use of &ldquo\;Big Data&rdq
 uo\; or Data Analytics with its associated statistical analysis techniques
  which is the focus of this conference.\nThe 2022 conference is intended t
 o expand on previous years&rsquo\; conferences and introduce these new and
  emerging analysis techniques and to show how they can be applied to the l
 arge volume of inspection and operational data collected by railways to im
 prove their planning of the critical capital and maintenance programs. Thi
 s year&rsquo\;s conference focuses on new and emerging applications of &ld
 quo\;Big Data&rdquo\; analytics to include infrastructure and rolling stoc
 k maintenance planning and railroad operations. The program for 2022 will 
 use a 1 &frac12\; day format with a full day on Wednesday December 14\, 20
 22 and a half day on December 15\, 2022 with a reception the evening of De
 cember 14\, 2022.\nFor more information contact:&nbsp\;rr-info@udel.edu\nR
 egister\n
X-ALT-DESCRIPTION:<h4 class="natural-case">Converting the Mountain of Data 
 Collected by Railway Systems&nbsp\;into Effective Maintenance Planning Inf
 ormation with a Focus on&nbsp\;Railway Needs and Practical Applications</h
 4>\n<div>\n<p class="natural-case">KEYNOTE:&nbsp\;STEPHEN GARDNER\, CHIEF 
 EXECUTIVE OFFICER\, AMTRAK</p>\n<p class="natural-case">OBJECT COMPUTING S
 PEAKERS:&nbsp\;Session IIIB (3:45 -5:45p)&nbsp\;Big Data: Applications and
  Case Studies\, &ldquo\;Use of LIDAR data for Crossing Siteline Management
  and Vegetation&rdquo\; by&nbsp\;Elvis Higgins and Dan Hampton CSX and Dan
 iel Rusinek</p>\n<h5 class="natural-case">About the Conference</h5>\n<p>Th
 is conference is organized by the University of Delaware&rsquo\;s&nbsp\;<a
  href="https://railroadengineering.engr.udel.edu/" rel="noopener noreferre
 r" data-cke-saved-href="https://railroadengineering.engr.udel.edu/">Railro
 ad Engineering and Safety Program</a>\, Big Data Center\, and the&nbsp\;<a
  href="https://ce.udel.edu/" rel="noopener noreferrer" data-cke-saved-href
 ="https://ce.udel.edu">College of Engineering\, Department of Civil and En
 vironmental Engineering</a></p>\n<p>Modern Railways are making increasing 
 use of new generation inspection and operating technology to obtain more a
 nd more data on the condition of the track\, equipment\, and operations. T
 his extensive amount of data\, which includes data of increasing complexit
 y as well as volume\, has led to a condition known as &ldquo\;Big Data&rdq
 uo\;\, where the volume of data is such that traditional analysis techniqu
 es are no longer viable to efficiently make use of all of this large volum
 e of data.</p>\n<p>Thus\, important information is often buried in this &l
 dquo\;mountain&rdquo\; of data. Since railways need to convert this data i
 nto useable information to help them plan their maintenance and capital pr
 ograms as well as their ongoing operations\, there is a need for the appli
 cation of new and improved analysis techniques to make this conversion fro
 m data into information. One such area of improved data analysis is the us
 e of &ldquo\;Big Data&rdquo\; or Data Analytics with its associated statis
 tical analysis techniques which is the focus of this conference.</p>\n<p>T
 he 2022 conference is intended to expand on previous years&rsquo\; confere
 nces and introduce these new and emerging analysis techniques and to show 
 how they can be applied to the large volume of inspection and operational 
 data collected by railways to improve their planning of the critical capit
 al and maintenance programs. This year&rsquo\;s conference focuses on new 
 and emerging applications of &ldquo\;Big Data&rdquo\; analytics to include
  infrastructure and rolling stock maintenance planning and railroad operat
 ions. The program for 2022 will use a 1 &frac12\; day format with a full d
 ay on Wednesday December 14\, 2022 and a half day on December 15\, 2022 wi
 th a reception the evening of December 14\, 2022.</p>\n<p>For more informa
 tion contact:&nbsp\;<a href="mailto:rr-info@udel.edu">rr-info@udel.edu</a>
 </p>\n<p><a class="button-link button-link-blue" title="Learn more and reg
 ister" href="https://railroadengineering.engr.udel.edu/news-events/big-dat
 a-conference/" target="_blank">Register</a></p>\n</div>
CATEGORIES:Conferences\,Meetups\,Tech Talks\,Software Engineering
LOCATION:Newark, DE
END:VEVENT
END:VCALENDAR