Viewing entries in

Just out a new research article by the BDEM researcher team

A new research paper entitled “A Framework to Integrate Social Media and Authoritative Data for Disaster Relief Detection and Distribution Optimization“ has been published in the International Journal of Disaster Risk Reduction. In this paper, the BDEM researchers propose an interdisciplinary approach to (natural) disaster relief management. Our framework combines dynamic and static databases, which consist of social media and authoritative data of an afflicted region, respectively, to model rescue demand during a disaster situation. Using Global Particle Swarm Optimization and Mixed-Integer Linear Programming, we then determine the optimal amount and locations of temporal rescue centers. Furthermore, our disaster relief system identifies an efficient distribution of supplies between hospitals and rescue centers and rescue demand points. By leveraging the temporal dimension of the social media data, our framework manages to iteratively optimize the disaster relief distribution.

It is a joint work of Timothy Schempp (CICS, San Diego State University), Haoran Zhang (The University of Tokyo), Alexander Schmidt (Uni Hohenheim), Minsung Hong and Rajendra Akerkar (Vestlandsforsking).

Full article can be found at the journal website.

WNRI researcher's visit to the University of Tokyo

In order to discuss ongoing research cooperation and further research direction, Dr. Minsung Hong (researcher at the Western Norway Research Institute) had meeting with the BDEM partner research group in Tokyo on December 3rd, 2018. The research group at Intelligent Perception and Urban Computing Laboratory of the University of Tokyo is headed by Dr. Xuan Song.

Dr. Minsung Hong (WNRI) presenting research at Intelligent Perception and Urban Computing Laboratory, Japan.

Dr. Minsung Hong (WNRI) presenting research at Intelligent Perception and Urban Computing Laboratory, Japan.

In this meeting research students and postdocs at the University of Tokyo presented and shared their work. Moreover, Minsung presented the basic idea of a victim detection technology platform as well as preliminary results from joint research on a framework that efficiently integrates victim detection technologies considering sensing, communication and computing issues. The research aims to achieve a significant time reduction related to Victim Search and Rescue phase by providing wide-area situational awareness solutions for improved detection and localization of trapped victim.

They also discussed student-staff exchange visits to Norway.