Showing posts with label Disaster Management. Show all posts
Showing posts with label Disaster Management. Show all posts

Sunday, November 13, 2016

Disaster Readiness & Risk Reduction Forum on Dec 3, 2016

DR&RR Forum held last 3 Dec 2016
The DRRM framework and the Mapping of Learning Modules (LM)
CESDR Subcenter for DRR-CCA conducted a forum on "Disaster Readiness and Risk Reduction (DR&RR)" on Dec. 3, 2016 (9:000 - 12:00) at Room V512, Velasco Building. The forum highlighted the presentation of the draft learning modules on DR&RR being developed by the faculty and graduate students for the DR&RR course for Senior High School students which will be delivered next school year. There are ten learning modules (LM)  which follow the DepEd syllabus, course objectives, learning and performance outcomes.The module writers' pool is composed of CESDR DRR-CCA members, Dr. Tanhueco (Subcenter head), Dr. Oreta and Dr. Mutuc and PhD students (Joenel Galupino, Michael Almeida, Salvador Olaivar & Dr. Jospeh Juanzon) taking the Graduate Seminar on Disaster Risk Reduction and Infrastructure Development (DRRID) under Dr. Oreta. Invited in the forum are CESDR members, COS faculty, DLSU SHS students and the Director of the DLSU SHS CONNECT-ED, Efren De La Cruz. CESDR members, Dr. Susan Gallardo, Dr. Lessandro Garciano and Dr, Maricel Paringit attended the forum.

After the forum, the learning modules will be edited and revised based on the feedback from the participants. A three to four day-seminar-workshop about the learning modules will be conducted during the 2nd term AY2016-2017 for the DLSU faculty and SHS teachers who will handle the DR&RR course. The learning modules are being developed to assist the DR&RR teachers in the handling of the courses.

Friday, July 24, 2015

Monitoring Natural and Built Environments Using Unmanned Aerial Systems for DRR





NOTE: This is Part 2 of the article by Dr. Lawrence Materum (ECE Dept., DLSU)
 
Wireless sensor networks (WSN) are communication systems that could provide preventive, resilient, and adaptive mechanisms for enabling data transfer in pre-, during, and post- disaster scenarios. Long-range, low-power, and sufficient nodes are important requirements for deploying wireless sensor networks in infrastructure monitoring, disaster risk reduction scenarios, and the like. What if one of the component of the WSN fails or destroyed during a disaster, say the collector?  In case of the failure of a data collector, unmanned aerial systems could serve as a target node collector, or as a relay.
 

As far as the author knows, none of the existing WSN technologies (even M2M or IoT standards) has addressed this.  Potential solutions are as follows: (1) collector redundancy, (2) collector must be placed in a secure location, and (3) collector should be easily rolled out (plug-and-play). 


If the collector should be easily rolled out, a self-deploying collector if redundancy fails is one way to achieve this solution.  Another one, though it could be related to a self-deploying collector is by using unmanned aerial systems (UAS).  A UAS could be autonomous or remotely controlled.  A UAS is also referred to as unmanned aircraft or unmanned aerial vehicle (UAV), drone, remote operated aircraft (ROA), high-altitude platform (HAP), low-altitude platform (LAP), remote-controlled airship, or satellites (especially microsatellites and nanosatellites).  Now, there is a hot race in research, patents, standardization, and policy implementation for this topic. One example of the use of UAS is portrayed in bridge safety.  UAS could serve as a target node collector. This means it only will serve a subset of sensor nodes at a time.  Such UAS may have a large coverage depending on antenna and transmit power. Another way to use UAS is by using it as a relay station, assuming that the collector has a reduced range capability.

Research Challenges:
 
1. If a fraction of the nodes are broken during a disaster, what node data sampling process would lead to an accurate assessment of the desired mechanisms for the ff:? 

a.     Prevention of disaster risks
b.     Recovery from disasters
c.     Adaptation to different disaster scenarios



2.     What data transmission protocol could produce the least lag from UAS relay to (1) the collector, or to (2) other UAS relays?
.