scholarly journals TOWARDS "DRONE-BORNE" DISASTER MANAGEMENT: FUTURE APPLICATION SCENARIOS

2016 ◽  
Vol III-8 ◽  
pp. 181-189 ◽  
Author(s):  
Tullio Joseph Tanzi ◽  
Madhu Chandra ◽  
Jean Isnard ◽  
Daniel Camara ◽  
Olivier Sebastien ◽  
...  
Keyword(s):  
Disaster Management ◽  
Situational Awareness ◽  
Data Gathering ◽  
Future Application ◽  
Use Case ◽  
Humanitarian Relief ◽  
Security Risks ◽  
Flight Operations ◽  
New Generation ◽  
Relief Efforts

Information plays a key role in crisis management and relief efforts for natural disaster scenarios. Given their flight properties, UAVs (Unmanned Aerial Vehicles) provide new and interesting perspectives on the data gathering for disaster management. A new generation of UAVs may help to improve situational awareness and information assessment. Among the advantages UAVs may bring to the disaster management field, we can highlight the gain in terms of time and human resources, as they can free rescue teams from time-consuming data collection tasks and assist research operations with more insightful and precise guidance thanks to advanced sensing capabilities. However, in order to be useful, UAVs need to overcome two main challenges. The first one is to achieve a sufficient autonomy level, both in terms of navigation and interpretation of the data sensed. The second major challenge relates to the reliability of the UAV, with respect to accidental (safety) or malicious (security) risks. <br><br> This paper first discusses the potential of UAV in assisting in different humanitarian relief scenarios, as well as possible issues in such situations. Based on recent experiments, we discuss the inherent advantages of autonomous flight operations, both lone flights and formation flights. The question of autonomy is then addressed and a secure embedded architecture and its specific hardware capabilities is sketched out. <br><br> We finally present a typical use case based on the new detection and observation abilities that UAVs can bring to rescue teams. Although this approach still has limits that have to be addressed, technically speaking as well as operationally speaking, it seems to be a very promising one to enhance disaster management efforts activities.

scholarly journals TOWARDS "DRONE-BORNE" DISASTER MANAGEMENT: FUTURE APPLICATION SCENARIOS

2016 ◽  
Vol III-8 ◽  
pp. 181-189 ◽  
Author(s):  
Tullio Joseph Tanzi ◽  
Madhu Chandra ◽  
Jean Isnard ◽  
Daniel Camara ◽  
Olivier Sebastien ◽  
...  
Keyword(s):  
Disaster Management ◽  
Situational Awareness ◽  
Data Gathering ◽  
Future Application ◽  
Use Case ◽  
Humanitarian Relief ◽  
Security Risks ◽  
Flight Operations ◽  
New Generation ◽  
Relief Efforts

Information plays a key role in crisis management and relief efforts for natural disaster scenarios. Given their flight properties, UAVs (Unmanned Aerial Vehicles) provide new and interesting perspectives on the data gathering for disaster management. A new generation of UAVs may help to improve situational awareness and information assessment. Among the advantages UAVs may bring to the disaster management field, we can highlight the gain in terms of time and human resources, as they can free rescue teams from time-consuming data collection tasks and assist research operations with more insightful and precise guidance thanks to advanced sensing capabilities. However, in order to be useful, UAVs need to overcome two main challenges. The first one is to achieve a sufficient autonomy level, both in terms of navigation and interpretation of the data sensed. The second major challenge relates to the reliability of the UAV, with respect to accidental (safety) or malicious (security) risks. <br><br> This paper first discusses the potential of UAV in assisting in different humanitarian relief scenarios, as well as possible issues in such situations. Based on recent experiments, we discuss the inherent advantages of autonomous flight operations, both lone flights and formation flights. The question of autonomy is then addressed and a secure embedded architecture and its specific hardware capabilities is sketched out. <br><br> We finally present a typical use case based on the new detection and observation abilities that UAVs can bring to rescue teams. Although this approach still has limits that have to be addressed, technically speaking as well as operationally speaking, it seems to be a very promising one to enhance disaster management efforts activities.

scholarly journals TOWARDS A NEW ARCHITECTURE FOR AUTONOMOUS DATA COLLECTION

2015 ◽  
Vol XL-3/W3 ◽  
pp. 363-369 ◽  
Author(s):  
T. J. Tanzi ◽  
Y. Roudier ◽  
L. Apvrille
Keyword(s):  
Data Collection ◽  
Motion Control ◽  
Situational Awareness ◽  
Quality Data ◽  
Security Risks ◽  
New Generation ◽  
Verification Techniques ◽  
Modelling Simulation ◽  
Embedded Architectures ◽  
Critical Aspects

A new generation of UAVs is coming that will help improve the situational awareness and assessment necessary to ensure quality data collection, especially in difficult conditions like natural disasters. Operators should be relieved from time-consuming data collection tasks as much as possible and at the same time, UAVs should assist data collection operations through a more insightful and automated guidance thanks to advanced sensing capabilities. In order to achieve this vision, two challenges must be addressed though. The first one is to achieve a sufficient autonomy, both in terms of navigation and of interpretation of the data sensed. The second one relates to the reliability of the UAV with respect to accidental (safety) or even malicious (security) risks. This however requires the design and development of new embedded architectures for drones to be more autonomous, while mitigating the harm they may potentially cause. We claim that the increased complexity and flexibility of such platforms requires resorting to modelling, simulation, or formal verification techniques in order to validate such critical aspects of the platform. This paper first discusses the potential and challenges faced by autonomous UAVs for data acquisition. The design of a flexible and adaptable embedded UAV architecture is then addressed. Finally, the need for validating the properties of the platform is discussed. Our approach is sketched and illustrated with the example of a lightweight drone performing 3D reconstructions out of the combination of 2D image acquisition and a specific motion control.

Inflight icing data gathering during routine flight operations — a case study

2001 ◽  
Vol 105 (1051) ◽  
pp. 501-516 ◽  
Author(s):  
A. P. Brown
Keyword(s):  
Data Gathering ◽  
Winter Season ◽  
Leading Edge ◽  
General Aviation ◽  
Data Sets ◽  
Large Droplet ◽  
Event Data ◽  
Flight Operations ◽  
Lower Corner

Abstract For the purpose of the design and certification of inflight icing protection systems for transport and general aviation aircraft, the eventual re-definition/expansion of the icing environment of FAR 25/JAR 25, Appendix C is under consideration. Such a re-definition will be aided by gathering as much inflight icing event data as reasonably possible, from widely-different geographic locations. The results of a 12-month pilot programme of icing event data gathering are presented. Using non-instrumented turboprop aircraft flying upon mid-altitude routine air transport operations, the programme has gathered observational data from across the British Isles and central France. By observing a number of metrics, notably windscreen lower-corner ice impingement limits, against an opposing corner vortex-flow, supported by wing leading edge impingement limits, the observed icing events have been classified as ‘small’, ‘medium’ or ‘large’ droplet. Using the guidance of droplet trajectory modelling, MVD values for the three droplet size bins have been conjectured to be 15, 40 and 80mm. Hence, the ‘large’ droplet category would be in exceedance of FAR/JAR 25, Appendix C. Data sets of 117 winter-season and 55 summer-season icing events have been statistically analysed. As defined above, the data sets include 11 winter and five summer large droplet icing encounters. Icing events included ‘sandpaper’ icing from short-duration ‘large’ droplets, and a singular ridge formation icing event in ‘large’ droplet. The frequency of ‘large’ droplet icing events amounted to 1 in 20 flight hours in winter and 1 in 35 flight hours in summer. These figures reflect ‘large’ droplet icing encounter probabilities perhaps substantially greater than previously considered. The ‘large’ droplet events were quite localised, mean scale-size being about 6nm.

The Convergence of IoT, Machine Learning, and Big Data for Advancing Flood Analytics Knowledge  

2021 ◽  
Author(s):  
Vidya Samadi ◽  
Rakshit Pally
Keyword(s):  
Machine Learning ◽  
Big Data ◽  
Language Processing ◽  
Situational Awareness ◽  
Critical Infrastructure ◽  
Probability Distributions ◽  
Data Gathering ◽  
Flood Frequency ◽  
Flood Frequency Analysis ◽  
Crowd Intelligence

&lt;p&gt;Floods are among the most destructive natural hazard that affect millions of people across the world leading to severe loss of life and damage to property, critical infrastructure, and agriculture. Internet of Things (IoTs), machine learning (ML), and Big Data are exceptionally valuable tools for collecting the catastrophic readiness and countless actionable data. The aim of this presentation is to introduce Flood Analytics Information System (FAIS) as a data gathering and analytics system. &amp;#160;FAIS application is smartly designed to integrate crowd intelligence, ML, and natural language processing of tweets to provide warning with the aim to improve flood situational awareness and risk assessment. FAIS has been Beta tested during major hurricane events in US where successive storms made extensive damage and disruption. The prototype successfully identifies a dynamic set of at-risk locations/communities using the USGS river gauge height readings and geotagged tweets intersected with watershed boundary. The list of prioritized locations can be updated, as the river monitoring system and condition change over time (typically every 15 minutes).&amp;#160; The prototype also performs flood frequency analysis (FFA) using various probability distributions with the associated uncertainty estimation to assist engineers in designing safe structures. This presentation will discuss about the FAIS functionalities and real-time implementation of the prototype across south and southeast USA. This research is funded by the US National Science Foundation (NSF).&lt;/p&gt;

The Use of the Escape Room as a Methodology for the Development of Professional Skills in the Training of Future Teachers

2022 ◽  
pp. 280-302
Author(s):  
Miguel Ángel Gallardo-Vigil ◽  
María de Fátima Poza-Vílches ◽  
María Teresa Pozo-Llorente
Keyword(s):  
Professional Development ◽  
Active Agent ◽  
Essential Elements ◽  
Future Application ◽  
Educational Context ◽  
Future Teachers ◽  
Educational Activities ◽  
Global Pandemic ◽  
The Subject ◽  
New Generation

Faced with the new educational context that is emerging at this time in history, marked by a global pandemic, the learning and application of active methodologies where the teacher is not the only active agent in socio-educational activities is becoming key. Given this novel context, this chapter tries to outline how an escape room can be used as a strategy in the training of future teachers for the development of socio-emotional, sustainable, and multi-intelligence approaches, all currently necessary and essential elements of the professional development of this new generation of teachers in training. There is no doubt that the experience described in this chapter shows the applicability of these types of active methodologies in the classroom, since as defended in the document, it not only favours the motivation of students, but also the acquisition of certain skills and abilities, as well as the consolidation of theoretical content linked to the subject in which it is applied, thus favouring their future application when they become practising teachers.

The Use of Geospatial Technology in Disaster Management

2010 ◽  
Vol 1 (3) ◽  
pp. 17-30 ◽  
Author(s):  
Scott Westlund
Keyword(s):  
Disaster Management ◽  
Situational Awareness ◽  
Academic Community ◽  
Geospatial Technologies ◽  
Management Activity ◽  
Web Based ◽  
Geospatial Technology ◽  
Gis And Remote Sensing ◽  
Global Positioning ◽  
Level Of Knowledge

The daily use of geospatial technology, such as the global positioning system (GPS), geographic information systems (GIS), and remote sensing (RS), is increasing. The use of geospatial technology in disaster management is a natural fit because almost every aspect of a disaster is referenced by location. This paper presents the results of a recent web-based survey of disaster management practitioners. Findings reveal that more than 60% of disaster management practitioners are currently using geospatial technology and 70% plan to use it in a future disaster management activity. However, the results indicate that most disaster management practitioners have a low level of knowledge of geospatial technology. The survey findings also show that geospatial technologies enhance situational awareness, cost is a major challenge for practitioners who would like to use them, and an opportunity exists for the academic community to engage with practitioners to help them raise their level of geospatial knowledge.

Information and Communication Technology in Crisis and Disaster Management

2019 ◽  
Author(s):  
Deedee Bennett
Keyword(s):  
Information And Communication Technologies ◽  
Disaster Management ◽  
Unmet Needs ◽  
Situational Awareness ◽  
Communication Technologies ◽  
Management Communication ◽  
Wide Range ◽  
Information And Communication ◽  
Types Of Information ◽  
New Research

Information and communication technologies (ICTs) cover a wide range of telecommunication devices and applications, which facilitate the flow of information. Within crisis and disaster management, these devices and applications may be used explicitly for hazards or crisis detection, information management, communication, situational awareness, search and rescue efforts, and decision support systems. Everything from cell phones and social media to unmanned aerial vehicles and weather stations are used to collect, disseminate, and monitor various types of information and data to provide a common operating picture. ICTs are continually evolving, with new features developed and deployed at a rapid pace. This development has had a unique impact on crisis and disaster management, allowing for real-time communication and situational awareness, as well as novel approaches to simulations and training. With the near-ubiquitous use of some devices, information is also no longer held solely by government or private sector officials; ordinary citizens are also able to contribute to and disseminate information during and after crises. For some segments of the population, this ability to meaningfully contribute is not only empowering but necessary to highlight unmet needs. Throughout the evolution of ICTs, new research and practical concerns have highlighted persistent unmet needs of more vulnerable populations due to growing interdependence and integration across jurisdictional boundaries worldwide. The continued expansion of ICTs will most likely have a profound impact on this field in the future.

Exploring the Disaster Management of Teachers and Pupils in Iligan City, Philippines

2014 ◽  
Vol 8 (1) ◽  
Author(s):  
ROBERTO D. NAPERE JR. ◽  
OLIVA P. CANENCIA
Keyword(s):  
Disaster Management ◽  
Data Gathering ◽  
The Philippines ◽  
The Public ◽  
Descriptive Research ◽  
The People ◽  
Almost All ◽  
And Behavior ◽  
Attitudes And Behavior ◽  
Capability Level

With the geologic location and physical characteristics of the Philippines,it is being considered as one of the most disaster-prone countries in the world.Disasters occurring in the country can be natural or human-induced (NDRRMC,2011).   Certainly, when there is a disaster, school children are the mostvulnerable. The study examined the disaster management trainings attended bythe teachers and their capability level in managing natural and human-induceddisasters.  It also explored the pupils’ knowledge, attitudes and behavior aboutdisaster management. Employing descriptive research design, 200 teachers and300 pupils in the public central schools in Iligan City served as respondents.Survey questionnaires were used in data gathering and were treated using frequency counts, means, percentages and correlation procedure. Results revealthat almost all of the teachers did not have trainings on disaster managementand yet, they are capable in managing the identified disasters. Meanwhile, thepupils posted a good remark on their knowledge, attitudes and behavior aboutdisaster management. The two powerful typhoons Sendong (Tropical StormWashi) and Pablo (Tropical Storm Bopha) left a learned lesson to the people inIligan City not to be complacent in any disasters. The study recommend for a fullinstitutionalization of disaster management to all schools to protect the schoolpersonnel, pupils, and educational facilities.Keywords: Disaster management, natural and human-induced disasters, capability level,pupils’ knowledge, attitudes and behavior, descriptive research, Philippines

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