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DTSTART:20191103T020000
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UID:calendar.361091.field_event_date.0@www.wright.edu
DTSTAMP:20260220T000918Z
CREATED:20190705T145907Z
DESCRIPTION:Committee:  Drs. Amit Sheth\, Advisor\, TK Prasad\, and Valerie
  Shalin (Department of Psychology)ABSTRACT:Features and attributes that de
 scribe an event (disasters\, social movements\, etc.) are heterogeneous in
  nature. For virtually all events that impact humans\, technology enables 
 us to capture a large amount and variety of data from many sources\, inclu
 ding humans (i.e.\, social media) and sensors/internet of things (IoTs). T
 he corresponding modalities of data include text\, imagery\, voice and vid
 eo\, along with structured data such as gazetteers (i.e.\, location-based 
 data) and government and statistical data. However\, even though there is 
 often an abundance of information produced\, this information is fragmente
 d across the various modalities and sources. The DisasterRecord system aim
 s to provide a way to combine (interlink and integrate) data streams in di
 fferent modalities in a meaningful way\, with the in-depth use case of flo
 od events. The DisasterRecord project was originally developed as a demo t
 o showcase the efforts of the team at Kno.e.sis in the area of combining a
 nd analyzing multimodal data for the IBM CallForCode challenge in 2018. Th
 is thesis represents extensive follow-on work in the areas of deployabilit
 y\, flexibility\, and reliability. Specific topics addressed are: a method
  that utilizes current technologies to easily deploy into cloud infrastruc
 ture\; the modifications made to add flexibility to add and modify the mul
 timodal analysis pipeline\; and reliability improvements to make it a stab
 le and reliable system.
DTSTART;TZID=America/New_York:20190708T103000
DTEND;TZID=America/New_York:20190708T123000
LAST-MODIFIED:20190705T205833Z
LOCATION:366 Joshi
SUMMARY:Masters Thesis Defense “Scalable\, Pluggable\, and Fault Tolerant M
 ulti-Modal Situational Awareness Data Stream Management Systems” By Michae
 l Partin
URL;TYPE=URI:/events/masters-thesis-defense-%E2%80%9C
 scalable-pluggable-fault-tolerant-multi-modal-situational-awareness
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