Abstract Details
10/13/2015 | 4:00 PM - 4:45 PM | Pacific I
PERECO - Personalized Emergency Response Ecosystem
Disaster-management involves the creation of plans through which communities reduce vulnerability to hazards and cope with disasters. Disaster-management does not avert or eliminate the natural disasters or threats, instead it focuses on creating plans to decrease the impact of natural disasters. Failure to create a plan could lead to damage to assets, human-mortality, and loss in revenue. An important drawback of emergency-management plans is that their major focus is on the relief, rescue and rehabilitation of victims after the disaster has struck. This has inherent complexities as any post-disaster region or community would suffer from infrastructure problems such as incapacitated communication channels, large-scale electricity outages, shortage of essential supplies such as food and water, damaged and blocked roads, bridges, and highways. Such a situation, common in most post-disaster regions paralyze the entire region and overwhelm the relief and rescue authorities hampering their effective operation. Therefore such relief and rescue methods focusing on the aftermath of disaster is certainly detrimental to human-life and property.
We will present methods on how our system leverages weather and storm-warning data issued by meteorological centers to dynamically danger-zones and using Geo-fencing techniques, identify safe-zones around these. Following this an emergency message is broadcast to all our mobile application users in that region, who without any intervention from their side are notified by the mobile application, which is automatically launched and indicates whether they are in any impending danger, depending on their current physical geographic location. Users found to be in the predetermined danger zone are instructed to immediately evacuate and follow a route dynamically and optimally planned on the server and delivered to the user. For this we will present a routing algorithm we have developed to ensure that all possible exit routes are utilized to evacuate users in the danger zone without overwhelming and overcrowding particular exit routes. The system can also detect any accidents, automatically via an algorithm running on the mobile application, road blockages and other obstacles along exit routes, which then allows our back-end server to dynamically take immediate action and direct the emergency services to the users involved in accidents, or re-route them and other users following them to an alternative route if the current route is blocked for any reason.
With the advent of smart phone technology, it has become increasingly easy for the dissemination of data to mobile smart phones, and processing of that data to give actionable information to the users. This work attempts to define a new disaster response mechanism that works on the principle of “prevention is better than cure” and focuses mainly on how to safeguard human-life by leveraging all communication, transport, other civic infrastructure and resources that is still intact in that region, well before the natural disaster occurs, by utilizing information from advanced early-warning systems already in place at meteorological stations worldwide and a cloud-powered smart phone mobile application that allows for mission-critical and actionable information to be delivered to users in a timely manner, through which several lives can be saved.
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Aditya Dalwani (Author,Co-Author), P.E.S Institute of Technology, adit.39@gmail.com;
Aditya Dalwani is a programming enthusiast who loves taking up any challenge that comes his way. He has worked on several projects that fall into domains ranging from Data Analytics to Cloud Computing and Location Based Social Networking to Machine Learning. He actively takes part in hackathons and has been on the winning side of a few of these events organized by Nokia, InMobi and SocieteGenerale. Aditya loves to relax by whipping up a meal whenever he can!
Satyanarayana Srinivas (Primary Presenter,Co-Author), P.E.S University, satyasrinivas@pes.edu;
Satya Srinivas, a Research Scholar in PES University, his area of research interest is in Data Mining & Analytics, and Big Data Analytics with Visualisation, teaches Undergraduate and Post-Graduate students and guides them in research. His keen interests lies in fact that data explosion has happened and needs to be contained to study the hidden nuggets. He has been in the industry for 25 years and has led a number of multi-million dollars deals with Fortune 500 companies.
Chiraag Sumanth (Author,Co-Author), P.E.S Institute of Technology, chiraagsumanth@gmail.com;
Chiraag Sumanth is an undergraduate student pursuing a bachelor's degree in Computer Science and Engineering, and an avid hacker and technology enthusiast. Chiraag, along with his team have collectively won about seven National level All-India Hackathons conducted by the likes of Nokia, InMobi, SAP Labs, Societe Generale Bank, and an International Startup competition organized by the Korean Government. He has a strong passion for research, with primary research interests in the field of Information Extraction, Natural Language Processing, Mobile Technologies and Data Analytics. He has also previously published work in reputed international conferences. His other interests include numismatics and automobiles.
Arvind Srikantan (Author,Co-Author), Dept. of Computer Science and Engineering, P.E.S Institute of Technology, arvind.s01994@gmail.com;
Arvind Srikantan is a code-lover, primarily specializing in Mobile development. His vast experience in mobile development has led him to develop and publish quite a few interesting hacks on mobile. Additionally he hacks on jQuery, AngularJS, NodeJS and Javascript, apart from the basics like HTML+CSS, Java, and PHP. He has worked with several databases in the past including MySQL, MongoDB, CouchDB and Redis. He is also a FOSS (Free and Open Source Software) enthusiast.
From a research standpoint, he is a Member, Technical Staff at Ordell Ugo, an exploratory research firm based in PES Institiute of Technology, Bangalore and has previously published work in the areas of Text Processing, Mobile Analytics, and Data Compression to reputed IEEE Conferences.
