S.Sarah[1]
, M.Dilip[2],R.RahulAravindh[3]
Associate Professor,Department of Information Technology, Kingston Engineering College, Vellore,Tamilnadu1
UG Student, B.Tech IT, Kingston Engineering College, Vellore,Tamilnadu2
UG Student, B.Tech IT, Kingston Engineering College, Vellore,Tamilnadu3
Abstract:. Natural Disasters have threatened
mankind since history started. Due to geographic location
and environment change, there are many vulnerable
countries to natural disasters. The countries also lack
effective disaster preparedness system to confront natural
disasters. In addition, a tourist may face difficulties in
finding safe area or shelter place prior to the occurrence of
natural disasters. For this reason, we have proposed a
disaster management system and evacuation system for
people using Google Map (GM). The system is implemented
on android mobile phone because of the burgeoning growth
of smart phones in world. Android device with our
application installed on it and user. User can register the
multiple receiver or family member or friends to send SMS at
a time to send notification for help. By sending the current
position obtained by GPS and including shortest path of
shelter or safe zone on the map of the application.
Key Words: Android, GPS, SMS ,Shortest path, Disasters
I.INTRODUCTION
According to a survey held on recent times by
Mr.Hillebrand and Mr.Trosby in DzSMS the Creation of
Personal Global Text Messagingdz,a book, Short Message
service(SMS) Is the widely used application all over the
world used by around 2.4 billion users. That can seriously
help Humankind in serious issues and even developed
countries also lack in taking control measures on natural
disasters & on informing emergency situations to beloved
ones is quite hard during these situations and also on
situations like Accidents & Health conditions. On behalf we
proposed a new application for android phones to
common peoples which is used to send their current
location, Address and Emergency situation. Even Blind
peoples can get use of this Application ,on addition of Voice
call into it. This application is also used as an SOS
Application to send their current location to the Numbers
that are already kept b the user as ICE Number. Prevention
is Better than Cure. This Android Application also Sends
the latitude and longitude of users current location to the
Registered Number. A developing country like Bangladesh
also lack in effective measures for emergency situations
which is one of the disaster prone countries listed. Tourists
can also suffer during these situations on finding shelter.
2.SYSTEM ANALYSIS AND STUDY
2.1SYSTEM STRUCTURE AND WORKING
PRINCIPLE
Application Portfolio is basically a Mapping System to
Intimate their location to their loved One.It consist of two
basic Modes.
1.SMS(Short Messaging Service)
2.Voice Call(Focuses on blind)
Rappid mapping and Risk & Recovery mapping are the two
common Modes. In case of Emergency, the message is
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 04 | Apr-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 2710
delivered within a Minute as tested in Rapid Mapping
Module.
2.2 ACCESS
A wide range of applications requires information on
settlements of humans basically on Emergency Response,
Disaster Risk Reduction ,Population estimation. The
analysis on Intimating emergency conditions on mapping
them when they are in emergency situations. The Access of
the Application is to receive the SMS or Voice call to the
Registered Users. Responsible on co-ordination among the
users who are registered to ensure the users Condition.
2.3 ACTIVATION AND INTERATION WITH USERS
Mapping the user may activate b the completion of
Relevant Service Request Form(SRF).There are two types
of service request forms. They are, Rapid Mapping and
SMS or Voice Call systems. The scope includes emergency
situations and humanitarian crisis related to Natural and
Artificial Emergency Situations. The Service Provider
Generates the Users location on Mapping with their
current Location Address and also the Latitudes and
Longitudes. It sends as SMS or Voice Call to the registered
Contacts by the User.
1. Availability of Network
2. Messaging Availability to Archive data
2.4 EXISTING SYSTEM:
Short Message Service (SMS) is used to collect the
upcoming flood warning and send back to all citizens from
the server. But lots of SMS transfer can cause the network
congestion which may lead to breaking of the voice call
communication through the same network. This can make
the evacuation process difficult. To avoid such, Cell
Broadcasting Service is used to directly send messages to
the users in a specific area with no network congestion.
Still it fails to help in evacuation process which provides
information about safe place. GSM alarm device for early
disaster warning is proposed to place it in the local police
station or fire brigade station, which takes warning from
weather office and make three different types of warning.
Then evacuation process is controlled by the police station
or fire brigade station. Though it can avoid network
congestion, the GSM alarm is not a faster way for
evacuation process. For delivery of warnings researchers
also proposed Area Mail disaster information service
provided by NTT Do Como for tsunami alert and
evacuation system with a view to support fishery workers.
It is possible with area mail service to inform persons in
limited area about damage due to disaster. With the help of
mobile application centre monitoring authority will
observe evacuation progress of the fishing boats. Though
this service is a quicker and efficient one, it will not work
as fast in overall population. Well developed countries like
Australia and South Korea are planning to use satellite
communication for disaster management when the failure
of mobile network occurs. Satellite communication
services will be more fast, reliable, robust and secure but
initialization and maintenance of this service maintenance
are expensive and developing countries cannot afford this.
Very few researchers worked to provide location based
services for disaster management on mobile phones.
3.1 Disadvantages
It will not work as fast in overall population.
Very few researchers worked to provide location
based services for disaster management on mobile
phone
4.PROPOSED SYSTEM:
Disaster Management Server (DMS) is a third party server
which stores disaster prone areas and the details about the
users in its database. GPS provider, mobile phone catches
the current location of its user and sends it to server.
Using current position of user our system will determine
whether the user is in probable disaster exposed area or
not. Proposed system will get early upcoming disaster
warnings with the help of both audio and visual message
with shortest path of the safe place.
4.1Proposed System Advantages:
The User Can Say what their current emergency Situation.
Quick Accessing of SMS is The rescue authority notices the
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 04 | Apr-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 2711
unreached user and sends a rescue team to rescue
him.Application for rescue and relief operation with better
server side application to totally automate the system of
detecting disaster prone area.Our application gets the
current position through GSM from the user mobile phone
and application communicates with DMS to send the
latitude and longitude of user’s current position.
5. LITERATURE SURVEY
5.1 A Taxonomy of Indoor and Outdoor Positioning
Techniques for Mobile Location Services
Wireless positioning determination has received
increased attention during the past few years. Several
wireless applications have been envisaged when mobile
terminal location can be determined with sufficient
accuracy at any time. In this paper, we attempt to identify
the various indoor and outdoor positioning techniques
that can be used for the provision of mobile and wireless
applications and services. In order to maximize the
benefits of this research in the area of positioning
technologies, we propose a novel taxonomy with detailed
analysis and evaluation of these techniques based on the
accuracy that is needed for various mobile location-based
services.
5.2.Inferring Social Network Structure using Mobile
Phone Data
We analyze 330,000 hours of continuous
behavioral data logged by the mobile phones of 94
subjects, and compare these observations with selfreport
relational data. The information from these two data
sources is overlapping but distinct, and the accuracy of
self-report data is considerably affected by such factors as
the recency and salience of particular interactions. We
present a new method for precise measurements of largescale human behavior based on contextualized proximity
and communication data alone, and identify characteristic
behavioral signatures of relationships that allowed us to
accurately predict 95% of the reciprocated friendships in
the study. Using these behavioral signatures we can
predict, in turn, individual-level outcomes such as job
satisfaction.
5.3 Performance evaluation of a TOA-based
trilateration method to locate terminals in WLAN
Nowadays, several systems are available for
outdoor localization, such as GPS, assisted GPS and other
systems working on cellular networks. However, there is
no proper location system for indoor scenarios. Research
into designing location systems for 802.11 networks is
being carried out, so locating mobile devices on global
networks (GSM/cellular + GPS + WLAN) finally seems
feasible. The technique presented in this paper uses
existing wireless LAN infrastructure with minor changes to
provide an accurate estimation of the location of mobile
devices in indoor environments. This technique is based
on round-trip time (RTT) measurements, which are used
to estimate distances between the device to be located and
WLAN
access points. Each RTT measurement estimates the time
elapsed between the RTS (Request-to-Send) and the CTS
(Clear-to-Send) frame of the 802.11 standard. By applying
trilateration algorithms, an accurate estimation of the
mobile position is calculated.
5.4 Social Serendipity: Mobilizing Social Software
Mobile phones have been adopted faster than any
technology in human history and are now available to the
majority of people on Earth who earn more than US$5 a
day. More than 600 million phones were sold in 2004,
many times more than the number of personal computers
sold that year.1 This new infrastructure of phones is ripe
for novel applications, especially given continual increases
in their processing power. Many mobile devices also
incorporate low power wireless connectivity protocols,
such as Bluetooth, that can be used to identify an
individual to other people nearby. We have developed an
architecture that leverages this functionality in mobile
phones originally designed for communication at a
distance to connect people across the room. Serendipity is
an application of the architecture. It combines the existing
communications infrastructure with online introduction
systems’ functionality to facilitate interactions between
physically proximate people through a centralized server.
5.5 Accurate GSM Indoor Localization
Accurate indoor localization has long been an
objective of the ubiquitous computing research
community, and numerous indoor localization solutions
based on 802.11, Bluetooth, ultrasound and infrared
technologies have been proposed. This paper presents the
first accurate GSM indoor localization system that achieves
median accuracy of 5 meters in large multi-floor buildings.
The key idea that makes accurate GSM-based indoor
localization possible is the use of wide signal-strength
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 04 | Apr-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 2712
fingerprints. In addition to the 6-strongest cells
traditionally used in the GSM standard, the wide
fingerprint includes readings from additional cells that are
strong enough to be detected, but too weak to be used for
efficient communication. Experiments conducted on three
multifloor buildings show that our system achieves
accuracy comparable to an 802.11-based implementation,
and can accurately differentiate between floors in both
wooden and steel-reinforced concrete structures.
6.MODULE DESCRIPTION
6.1PROXIMITY ESTIMATION:
To provide accurate proximity estimation for face-to-face
communication. This raises a question: what is the face-toface communication distance? In this subsection, we first
define the face-to-face distance and then use the indoor
results to do estimation. Since the error rate turns out to
relatively high, we explore the possible reasons.
6.2DISTANCE OF FACE-TO-FACE COMMUNICATION:
When we have dinner with our friends sitting at the same
table, the conversion among us is called face-to-face
communication; or when we talk with someone side by
side, the distance between us is also called face-to-face
communication. People typically have such communication
when they are sitting or walking together. Thus, we
calculate the distance for this kind of communication by
measuring distances across the campus and the average
value is equal to 1.52m.
6.3BASE ASSESSMENT:
To conduct an initial evaluation of the raw accuracy of
Bluetooth, we constructed a scenario that draws upon
several likely occurrences in normal campus interactions.
The scenario blends each of the earlier test cases and
provides a ground truth to assess the accuracy in a realworld setting.
6.4ACCURACY IMPROVEMENT:
When phones are inside the building, the light sensor
return values between 225 to 1280; while this value comes
up to larger than 1280 when phones are under daylight.
When the phones are in the backpack or anything of
shelter, the light values are always under 10. Thus, we use
the light sensor to improve the accuracy of distance
estimation.
7.SYSTEM ARCHITECTURE:
International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395 -0056
Volume: 03 Issue: 04 | Apr-2016 www.irjet.net p-ISSN: 2395-0072
© 2016, IRJET | Impact Factor value: 4.45 | ISO 9001:2008 Certified Journal | Page 2713
8.CONCLUSION:
Our disaster management system is an android
mobile phone application employing Google Map (GM),
Our application provides evacuation help on the map of
the application to user if the device user is in probable
disaster affected area considering the user’s current
location. This helps people to go to the safe area or shelter
place prior to the disaster. Our application also facilitates
the work of authority to track his evacuation progress
ceaselessly so that they can take immediate steps if
needed.
9.FUTURE ENHANCEMENT:
Moreover, we have a future plan to implement another
application to assist in rescue and relief operation after the
disaster and a better server side application to totally
automate the system of detecting disaster prone area
REFERENCES:
[1]Hidenori Torii, Jun Sawamoto, NorihisaSegawa,
EijiSugino, and Yukinori Nomura, DzTsunami Early Alert and
Evacuation Support System for Fishery Workers by Mobile
Phones,dz pp. 704-709, Apr. [24th International Conference
on Advanced Information Networking and Applications
Workshops]
[2]YasuakiTeshirogi, Jun Sawamoto, NorihishaSegawa, and
EijiSugino, DzA Proposal of Tsunami Warning System Using
Area Mail Disaster Information Service on Mobile Phones,dz
pp. 890-895, May 2009.[International Conference on
Advanced Information Networking and Application
Workshops]
[3]AnasAloudat and Katina Michael, DzToward the
Regulation of Ubiquitous Mobile Government: A Case
Study on Location-Based Emergency Service in Australia,dz
Journal of Electronic Commerce Research, Vol. 11, Issue 1,
Article 3, pp. 31-74, Jan. 2011.
[4]Dugkeun Park, DzOne of the Nowcasting Applications:
Early Warning Systems for Natural Disasters in Korea,dz
Oct. 2006.
BIOGRAPHIES:
Sarah S1 is working as an Associate
Professor at Kingston Engineering
College.She completed as Master of
Engineering in Computer Science
Engineering From Anna University during
June 2010 and her Bachelor of
Engineering in Computer Science Engineering From
University of Madras during June 2000.She has around 14
years of teaching experience.Her current areas of interest
include mobile adhoc network,Wireless sensor
networks,Data Mining,Cloud Computing.She has published
papers in International Journals and Conferences.
DILIP M2 is studying Bachelors of
Technology at Kingston Engineering
College. His areas of interest include
Android, Web Designing, Database
management system.
RAHUL ARAVINDH R3 is studying
Bachelors of Technology at Kingston
Engineering College. His areas of interest
include Network Programming and Object
Oriented analysis and design.
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