04791nas|a2200433 i 4500 20260819090634.0 170106s2013 th u m rtt 0| a1eng d .b12177155 AIT Thesis no. IM-13-07 Silva, Ramesh De Web GIS application integrated with social network to disseminate disaster information based on user preferences and location information Pathum Thani, Thailand : Asian Institute of Technology, 2013 50 p. : ill. Thesis ; no. IM-13-07 A thesis submitted in partial fulfillment of the requirements for the Degree of Master of Engineering in Information Management Field of Study, School of Engineering and Technology Thesis (M.Eng.) - Asian Institute of Technology, 2013 Due to the vast development in information and communications technologies, the availability of information on Internet has grown rapidly and users are overwhelmed with information. Disaster alert web portals address this problem by allowing people to define their interested regions, as they may need not to know about disasters happening all around the world. Though disaster notification systems allow users to define their area of interest, it has its own limitations. Assume that the user travels away from the area of interest. The system would not track the new geographical location of the user. If a disaster occurs at a close vicinity to the new location of the user, the system would not send any alert. To address this need, the geographical movements of users need to be tracked by some means. Although it is possible to dynamically track the geographical location of users through mobile cellular devices, mobile service providers do not disclose such information without bounds. On top of provision to define area of interest, the proposed system uses a social network integrated approach to dynamically get the location information of the users. Also, location information of the concerned family members or friends of the users can be acquired by this mechanism. Users get access to this application via Facebook OpenID login and define their area of interest and concerned friends from the facebook friends list. The system periodically retrieves location information of the users and their concerned friends via Facebook Graph API. This application is designed to send earthquake alerts. New earthquake events are fetched from USGS earthquake notification system. When a new earthquake event is observed, the system checks the affected area of the earthquake against area of interest of each user and the location information of the users and their friends. Notifications are sent only to possibly affected users. Performance remains as a key concern in disaster alert systems. Various performance tests are performed to check the behavior of the system. Spatial indexes and spatial clustering techniques are used in the tests. The proposed system works as a fully automated system to fetch earthquake feeds and notifying the affected users. The affected users are efficiently found by analyzing the area of interest marked by the user and the location information obtained from Facebook Graph API with the earthquake hit area. GIS (Computer system) Disasters Geographic information systems Lal Samarakoon Examination Committee Sarawut Ninsawat Chairperson Dailey, Mathew N., Examination Committee Asian Institute of Technology Fellowship, Scholarshop donor Asian Institute of Technology. Thesis ; no. IM-13-07 Full-Text http://203.159.5.9/ait-thesis/detail.php?q=B03203 .b12177155 mnait m 240409 0 170106 m a m 0 000:001:PDF:b1217715:002873:0:0:0:0:0:0 Abstract n mnait mnait mnarc 20 40 Barcode : 30050120315634 CREATED : 2017-06-01 RECORD # : i13063911 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 1 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120315600 CREATED : 2017-06-01 RECORD # : i13063923 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 Barcode : 30050120401467 CREATED : 2017-09-26 RECORD # : i13105073 LPATRON : 0 LCHKIN : - # RENEWALS : 0 # OVERDUE : 0 IUSE3 : 0 TOT CHKOUT : 0 TOT RENEW : 0 128565 128565 0 0 0 0 MAIN MAIN mnait 2026-08-19 50.00 0 AIT Thesis no. IM-13-07 30050120315634 2026-08-19 09:06:34 1 2026-08-19 20 0 0 0 0 MAIN MAIN mnait 2026-08-19 50.00 0 AIT Thesis no. IM-13-07 30050120315600 2026-08-19 09:06:34 2 2026-08-19 20 0 0 0 0 MAIN MAIN mnarc 2026-08-19 0 AIT Thesis no. IM-13-07 30050120401467 2026-08-19 09:06:34 1 2026-08-19 40