Open Access. Powered by Scholars. Published by Universities.®
Physical Sciences and Mathematics Commons™
Open Access. Powered by Scholars. Published by Universities.®
- Publication
- Publication Type
Articles 1 - 2 of 2
Full-Text Articles in Physical Sciences and Mathematics
Recommendations For Australia’S Implementation Of The National Emergency Warning System Using Location-Based Services, Anas Aloudat, Katina Michael, Roba Abbas
Recommendations For Australia’S Implementation Of The National Emergency Warning System Using Location-Based Services, Anas Aloudat, Katina Michael, Roba Abbas
Professor Katina Michael
Mobile alerts, notifications and location-based emergency warning systems are now an established part of mobile government strategies in an increasing number of countries worldwide. In Australia the national emergency warning system (NEWS) was instituted after the tragic Black Saturday Victorian Bushfires of February 2009. In the first phase, NEWS has enabled the provision of public information from the government to the citizen during emergencies anywhere and any time. Moving on from traditional short message service (SMS) notifications and cell broadcasting to more advanced location-based services, this paper provides executive-level recommendations about the viability of location-based mobile phone services in NEWS …
Adaptive Decision Support For Structured Organizations: A Case For Orgpomdps, Pradeep Reddy Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
Adaptive Decision Support For Structured Organizations: A Case For Orgpomdps, Pradeep Reddy Varakantham, Nathan Schurr, Alan Carlin, Christopher Amato
Research Collection School Of Computing and Information Systems
In today's world, organizations are faced with increasingly large and complex problems that require decision-making under uncertainty. Current methods for optimizing such decisions fall short of handling the problem scale and time constraints. We argue that this is due to existing methods not exploiting the inherent structure of the organizations which solve these problems. We propose a new model called the OrgPOMDP (Organizational POMDP), which is based on the partially observable Markov decision process (POMDP). This new model combines two powerful representations for modeling large scale problems: hierarchical modeling and factored representations. In this paper we make three key contributions: …