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Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology.
© 2016, IJARIIT All Rights Reserved Page | 1
ISSN: 2454-132X
(Volume2, Issue5)
Available online at: www.Ijariit.com
Hazards Reporting Based On Real-time Field Data
Collection Using Personal Mobile Phone.
Jayanti Khutwad*
, Bindu Konde, Ashvini Deokate, Prof A.A.Kadam
Pune University, Pune, Maharashtra,
India
Abstract: Hazard is a situation or thing that has the potential to harm people, property or the environment.
Hazardous area causes many people health. So we must to prevent from it. We are developing hazard reporting
system to prevent from hazard problem. Important task of the Reporting is Data Collection. The Geo spatial Data is
used to indicate the Data along with the geographic component. This means that the data set have location
information tied to them such as geographical data in the form of coordinates, address, city, or ZIP code. User report
to the organization by using the same data and organization solve that problem.
Keywords:-Web-Based GIS System, Geospatial Data Collection, Smart Phone, POP3 Mail Server, Global
Positioning System(GPS), Android Application Package(APK),Software Development Kit(SDK).
I. Introduction
In 21st century people have freedom to live and aim to make smart city. If city affect from any hazard. Hazard is a
situation or thing that has the potential to cause harm to people, property or the environment and it is condition with the
potential to cause injury, illness, or death of personnel, damage to or loss of equipment or property; or mission
degradation. If any people survive in hazard area. So people have to compliant regarding for hazard to particular
responsible authority. To work on that hazard. Now days mobile and information technology have become an integral
part of our lives. A new area where mobile is useful for gathering hazardous locations, of public area, information as
they are not readily accessible at any point.
Thus, using cloud, we will try to make all the information related to the hazardous areas available on the Android
Application to the various organizations like Police, Municipal Corporation, News Papers, etc. People can compliant
regarding hazard problem to responsible organization using android application. By capturing the image and the
location of the area and is sent to the server and
inform to responsible authority. Then the respective authority is responsible for allocating the problems to their
respective employees and then it is solved by these employees. The notification of the problem solving is sent to the
mobile of the user and authorities. The System generates the ratings Negative and Positive to the work solved within
days on basis of work solved between mention days it will rate Positive or Negative.
II. Literature Survey
Recently, the use of mobile communication devices, such as smart phones and cellular phones, in field data collection is
increasing due to the emergence of embedded Global Position Systems (GPS) and Wi-Fi Internet access. Accurate,
timely and handy field data collection is required for disaster management and quick response during emergencies. In
this article, we introduce a web-based GIS system to collect [2] the field data from personal mobile phones through post
Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology.
© 2016, IJARIIT All Rights Reserved Page | 2
Office Protocol POP3 mail server.[1] The main objective of this work is to demonstrate a real-time field data collection
method to students using their mobile phones to collect field data in a timely and handy manner, either in individual or
group surveys at local or global scale research. Geospatial data collection is one of the important tasks for many spatial
information users. Geospatial data collection may include remote sensing data, field data and other in-house GIS data
conversion processes (i.e. scanning, geo fencing, digitiz-ing, etc.).[4] Among them, field data collection is one of the
first steps for spatial information users, especially for geographers, geologists, biologists, crop scientists, ecologists, etc.
Field data collection is required for several reasons, such as collecting Ground Control Points (GCPs), ground [7] truth
data collection for result validation, collecting soil contaminated sites, plant or animal species, and gathering public
opinions for retail market analysis in order to analyze the spatial distribution patterns of objects and information on their
associated at-
tributes.[6] Accurate field data collection is also necessary for adequate spatial data analysis and proper decision
making.
Traditional field data collection (i.e. pen-and-paper based) is a time consuming and bulky task. For example, we need to
prepare base maps, collect an ancillary dataset, and other paperwork.
This is not practical to use in real-time disaster information collection, which occurs in unpredictable places and
requires a quick emergency response. How-ever, recent developments in mobile communication Global Navigation
Systems, 2the Internet and portable computational devices such as Net books or Ultra Mobile Personal Computers
(UMPC) allow us to conduct field data collection in a timely manner.[5] Moreover, under the client-server setting for
field data collection, a field user may take advantage of digital repositories prepared for data collection (i.e. base maps,
satellite images and other ancillary data), as well as information resources more generally available via the Web. For
example, use of Web Map Service (WMS) to access Google Maps or Microsoft Bing Maps data from GIS applications
via a HTTP interface.[3] It can provide Google Map or Microsoft Bing Maps image data to any GIS applications that
can use a WMS service for raster data. This can eliminate the time for base map preparation and other image processing
tasks.[8]
In previous years people survive in hazardous areas. People complained against hazard problem to particular
department but they have not given attention on problem. Procedure of solving complained problem is also taken long
time period and result also not given good. People did not have any idea about his compliant status. Compliant
procedure also take more time first we had to buy compliant form then fill, all procedure is too much hard. So observing
all problem regarding hazard compliant and solving problem issues. Giving attention on this problem we will develop
hazard reporting system. This system solves all previous problems and solve hazard problem fast.
III. Proposed System
This architecture shows overall description of our system.We needs at least one android mobile device and a dedicated
server to host the application. Dedicated Server is used to store the data. Dedicated server should have Mongo DB
installed on it to handle the database part.
In hazard reporting system design two main modules:
1. Android application and SQLite
2. Web portal using MongoDB.
3.1 Android Application and SQLite
Android application and SQLite is for common users. Common user first has to register by using android application.
After Registration User can login to the system and can send hazards report which contain image, data, audio, video.
The report contains geospatial data that means the Data along with the geographic component. This means that the data
set have location information tied to them such as geographical data in the form of coordinates, address, city, or ZIP
code.
Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology.
© 2016, IJARIIT All Rights Reserved Page | 3
Figure 1: The proposed System Architecture.
3.2 Web portal using MongoDB.
Web portal used at the Organization side, as the users done organization members also have to register to gate
authenticate. After registration assign roles to every member. for example Police, News Paper, Higher Authority etc.
show all the complaints of users, Identify each complaint. After identification assign work to employee according to
complaint. After working change the status of the complaint and notify to the user every time.
IV. System Features
4.1 Functional Requirements
• System should support android handset.
• System should monitor the user location periodically
• System should properly interact with the server
• System should run as a background service on server
• System should support auto start on server side
• System should be able to generate push messages
4.2 External Interface Requirements
4.2.1 User Interfaces
• Login Form
• Survey Form
• Image Upload Form
• Sync Settings Form
• Google Map View
Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology.
© 2016, IJARIIT All Rights Reserved Page | 4
• Master Form
4.2.2 Hardware Interfaces
• Mobile application will get installed on android smart phone.
• These devices should have Wi-Fi or 3G connectivity.
4.2.3 Software Interfaces:
• Operating System: Windows
• Database: MySQL
• Android 2.2 Supported mobile handset
• Google Map API V3
V. Technical Specification
5.1 advantages
• Central platform for reporting issues.
• Geographical view of issues.
• Use of MongoDB accepts unstructured data
5.2 Dis-Advantages
• Need of internet connection is compulsory to transfer the data.
55.3 Applications
• This application can be used by government to check the issues in the territory.
• This application can be used by people to report their problem to the government authority.
VI. Conclusion
In hazard reporting system design two main modules:
1. Android Application and SQLite
2. Web portal using MongoDB. They have set with some specific functions:
User uses android app for collecting Geospatial Data. After collecting data, that data is stored into android application
by using SQLite. The data captured from android will be shown on Google Maps using Google Maps API v3.Then
System send user hazard compliant to an organization i.e. web portal. According to compliant system set responsibility
to particular department and department
set employee to work on that compliant in time limit. If organization complete work in time. System send message to
common user and generates positive negative rates on his work.
Acknowledgment
Special thanks to the in Charge Prof A.A.Kadam, for his guidance and constant supervision as well as for providing
important information regarding to the project and also support for completing the project. We would like to express our
special gratitude to the industry person for giving us such attention and time.
References
[1] Xiaoguang Luo, Michael Mayer,” A Realistic and Easy-to-Implement Weight-ing Model for GPS Phase
Observations”,Ieee Transaction on Geoscience and Remote Sensing, vol. 52, no. 10, October 2014.
[2] Ko Ko Lwin,Yuji Murayama, ”Web-Based GIS System for Real-Time Field Data Collection Using A Personal
Mobile Phone.”, 2013.
Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology.
© 2016, IJARIIT All Rights Reserved Page | 5
[3] Jing Li, Xueming Qian, Member, IEEE, Yuan Yan Tang, GPS Estimation for Places of Interest From Social Users
Uploaded Photos, inProc. IEEE TRANS-ACTIONS ON MULTIMEDIA, VOL. 15, NO. 8, DECEMBER 2013
[4] Andrew J. Kerns, Kyle D. Wesson, A Blueprint for Civil GPS Navigation Message Authentication, Pattern
Recognit. Lett., vol. 34, no. 1, pp. 319, 2014.
[5] S. M. Nusser, L. L. Miller, and M. F. Goodchild, Future Views of Field Data Collection in Statistical Surveys,
National Conference on Digital Government Research, Los Angeles, 2001.
[6] K. Moe, B. Dwolatzky , Designing a Usable Mobile Application for FieldData Collection, IEEE, 2004, pp. 2012.
[7] Y. Murayama and K. K. Lwin, Population Estimation of Rapidly Growing Cities in Southeast Asia Using GIS/RS,
Grant-in-Aid for Scientific Research, JSPS, 2010.
[8] The International Telecommunication Union (ITU) Measuring the Infor-mation Society, ICT Development Index,
Geneva 2010. http://www.itu.int/ITU-D/ict/publications/idi/2010/Material/MIS 2010 without annex 4e.pdf
[9] Heung, V.C.S., Lam,”Customer Complaint Behavior Towards Hotel Restaurant Services, International Journal of
Contemporary Hospitality Management.”, Vol. 15, pp283-289, 2003.
[10] Gronroos, C.,”Service Quality: The Six Criteria of Good Perceived Service Quality, Review of Business.”,Vol. 9,
pp10-13, 1988.
[11] Bolfing, C.P.,”How Do Customer Express Dissatisfaction and WhatCan Service Marketers Do About It?, Journal
of Services Marketing”,Vol.3,No. 2, pp5-23, 1989.

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Hazards Reporting Based On Real-Time Field Data Collection Using Personal Mobile Phone.

  • 1. Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology. © 2016, IJARIIT All Rights Reserved Page | 1 ISSN: 2454-132X (Volume2, Issue5) Available online at: www.Ijariit.com Hazards Reporting Based On Real-time Field Data Collection Using Personal Mobile Phone. Jayanti Khutwad* , Bindu Konde, Ashvini Deokate, Prof A.A.Kadam Pune University, Pune, Maharashtra, India Abstract: Hazard is a situation or thing that has the potential to harm people, property or the environment. Hazardous area causes many people health. So we must to prevent from it. We are developing hazard reporting system to prevent from hazard problem. Important task of the Reporting is Data Collection. The Geo spatial Data is used to indicate the Data along with the geographic component. This means that the data set have location information tied to them such as geographical data in the form of coordinates, address, city, or ZIP code. User report to the organization by using the same data and organization solve that problem. Keywords:-Web-Based GIS System, Geospatial Data Collection, Smart Phone, POP3 Mail Server, Global Positioning System(GPS), Android Application Package(APK),Software Development Kit(SDK). I. Introduction In 21st century people have freedom to live and aim to make smart city. If city affect from any hazard. Hazard is a situation or thing that has the potential to cause harm to people, property or the environment and it is condition with the potential to cause injury, illness, or death of personnel, damage to or loss of equipment or property; or mission degradation. If any people survive in hazard area. So people have to compliant regarding for hazard to particular responsible authority. To work on that hazard. Now days mobile and information technology have become an integral part of our lives. A new area where mobile is useful for gathering hazardous locations, of public area, information as they are not readily accessible at any point. Thus, using cloud, we will try to make all the information related to the hazardous areas available on the Android Application to the various organizations like Police, Municipal Corporation, News Papers, etc. People can compliant regarding hazard problem to responsible organization using android application. By capturing the image and the location of the area and is sent to the server and inform to responsible authority. Then the respective authority is responsible for allocating the problems to their respective employees and then it is solved by these employees. The notification of the problem solving is sent to the mobile of the user and authorities. The System generates the ratings Negative and Positive to the work solved within days on basis of work solved between mention days it will rate Positive or Negative. II. Literature Survey Recently, the use of mobile communication devices, such as smart phones and cellular phones, in field data collection is increasing due to the emergence of embedded Global Position Systems (GPS) and Wi-Fi Internet access. Accurate, timely and handy field data collection is required for disaster management and quick response during emergencies. In this article, we introduce a web-based GIS system to collect [2] the field data from personal mobile phones through post
  • 2. Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology. © 2016, IJARIIT All Rights Reserved Page | 2 Office Protocol POP3 mail server.[1] The main objective of this work is to demonstrate a real-time field data collection method to students using their mobile phones to collect field data in a timely and handy manner, either in individual or group surveys at local or global scale research. Geospatial data collection is one of the important tasks for many spatial information users. Geospatial data collection may include remote sensing data, field data and other in-house GIS data conversion processes (i.e. scanning, geo fencing, digitiz-ing, etc.).[4] Among them, field data collection is one of the first steps for spatial information users, especially for geographers, geologists, biologists, crop scientists, ecologists, etc. Field data collection is required for several reasons, such as collecting Ground Control Points (GCPs), ground [7] truth data collection for result validation, collecting soil contaminated sites, plant or animal species, and gathering public opinions for retail market analysis in order to analyze the spatial distribution patterns of objects and information on their associated at- tributes.[6] Accurate field data collection is also necessary for adequate spatial data analysis and proper decision making. Traditional field data collection (i.e. pen-and-paper based) is a time consuming and bulky task. For example, we need to prepare base maps, collect an ancillary dataset, and other paperwork. This is not practical to use in real-time disaster information collection, which occurs in unpredictable places and requires a quick emergency response. How-ever, recent developments in mobile communication Global Navigation Systems, 2the Internet and portable computational devices such as Net books or Ultra Mobile Personal Computers (UMPC) allow us to conduct field data collection in a timely manner.[5] Moreover, under the client-server setting for field data collection, a field user may take advantage of digital repositories prepared for data collection (i.e. base maps, satellite images and other ancillary data), as well as information resources more generally available via the Web. For example, use of Web Map Service (WMS) to access Google Maps or Microsoft Bing Maps data from GIS applications via a HTTP interface.[3] It can provide Google Map or Microsoft Bing Maps image data to any GIS applications that can use a WMS service for raster data. This can eliminate the time for base map preparation and other image processing tasks.[8] In previous years people survive in hazardous areas. People complained against hazard problem to particular department but they have not given attention on problem. Procedure of solving complained problem is also taken long time period and result also not given good. People did not have any idea about his compliant status. Compliant procedure also take more time first we had to buy compliant form then fill, all procedure is too much hard. So observing all problem regarding hazard compliant and solving problem issues. Giving attention on this problem we will develop hazard reporting system. This system solves all previous problems and solve hazard problem fast. III. Proposed System This architecture shows overall description of our system.We needs at least one android mobile device and a dedicated server to host the application. Dedicated Server is used to store the data. Dedicated server should have Mongo DB installed on it to handle the database part. In hazard reporting system design two main modules: 1. Android application and SQLite 2. Web portal using MongoDB. 3.1 Android Application and SQLite Android application and SQLite is for common users. Common user first has to register by using android application. After Registration User can login to the system and can send hazards report which contain image, data, audio, video. The report contains geospatial data that means the Data along with the geographic component. This means that the data set have location information tied to them such as geographical data in the form of coordinates, address, city, or ZIP code.
  • 3. Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology. © 2016, IJARIIT All Rights Reserved Page | 3 Figure 1: The proposed System Architecture. 3.2 Web portal using MongoDB. Web portal used at the Organization side, as the users done organization members also have to register to gate authenticate. After registration assign roles to every member. for example Police, News Paper, Higher Authority etc. show all the complaints of users, Identify each complaint. After identification assign work to employee according to complaint. After working change the status of the complaint and notify to the user every time. IV. System Features 4.1 Functional Requirements • System should support android handset. • System should monitor the user location periodically • System should properly interact with the server • System should run as a background service on server • System should support auto start on server side • System should be able to generate push messages 4.2 External Interface Requirements 4.2.1 User Interfaces • Login Form • Survey Form • Image Upload Form • Sync Settings Form • Google Map View
  • 4. Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology. © 2016, IJARIIT All Rights Reserved Page | 4 • Master Form 4.2.2 Hardware Interfaces • Mobile application will get installed on android smart phone. • These devices should have Wi-Fi or 3G connectivity. 4.2.3 Software Interfaces: • Operating System: Windows • Database: MySQL • Android 2.2 Supported mobile handset • Google Map API V3 V. Technical Specification 5.1 advantages • Central platform for reporting issues. • Geographical view of issues. • Use of MongoDB accepts unstructured data 5.2 Dis-Advantages • Need of internet connection is compulsory to transfer the data. 55.3 Applications • This application can be used by government to check the issues in the territory. • This application can be used by people to report their problem to the government authority. VI. Conclusion In hazard reporting system design two main modules: 1. Android Application and SQLite 2. Web portal using MongoDB. They have set with some specific functions: User uses android app for collecting Geospatial Data. After collecting data, that data is stored into android application by using SQLite. The data captured from android will be shown on Google Maps using Google Maps API v3.Then System send user hazard compliant to an organization i.e. web portal. According to compliant system set responsibility to particular department and department set employee to work on that compliant in time limit. If organization complete work in time. System send message to common user and generates positive negative rates on his work. Acknowledgment Special thanks to the in Charge Prof A.A.Kadam, for his guidance and constant supervision as well as for providing important information regarding to the project and also support for completing the project. We would like to express our special gratitude to the industry person for giving us such attention and time. References [1] Xiaoguang Luo, Michael Mayer,” A Realistic and Easy-to-Implement Weight-ing Model for GPS Phase Observations”,Ieee Transaction on Geoscience and Remote Sensing, vol. 52, no. 10, October 2014. [2] Ko Ko Lwin,Yuji Murayama, ”Web-Based GIS System for Real-Time Field Data Collection Using A Personal Mobile Phone.”, 2013.
  • 5. Khutwad Jayanti et.al. , International Journal of Advance research, Ideas and Innovations in Technology. © 2016, IJARIIT All Rights Reserved Page | 5 [3] Jing Li, Xueming Qian, Member, IEEE, Yuan Yan Tang, GPS Estimation for Places of Interest From Social Users Uploaded Photos, inProc. IEEE TRANS-ACTIONS ON MULTIMEDIA, VOL. 15, NO. 8, DECEMBER 2013 [4] Andrew J. Kerns, Kyle D. Wesson, A Blueprint for Civil GPS Navigation Message Authentication, Pattern Recognit. Lett., vol. 34, no. 1, pp. 319, 2014. [5] S. M. Nusser, L. L. Miller, and M. F. Goodchild, Future Views of Field Data Collection in Statistical Surveys, National Conference on Digital Government Research, Los Angeles, 2001. [6] K. Moe, B. Dwolatzky , Designing a Usable Mobile Application for FieldData Collection, IEEE, 2004, pp. 2012. [7] Y. Murayama and K. K. Lwin, Population Estimation of Rapidly Growing Cities in Southeast Asia Using GIS/RS, Grant-in-Aid for Scientific Research, JSPS, 2010. [8] The International Telecommunication Union (ITU) Measuring the Infor-mation Society, ICT Development Index, Geneva 2010. http://www.itu.int/ITU-D/ict/publications/idi/2010/Material/MIS 2010 without annex 4e.pdf [9] Heung, V.C.S., Lam,”Customer Complaint Behavior Towards Hotel Restaurant Services, International Journal of Contemporary Hospitality Management.”, Vol. 15, pp283-289, 2003. [10] Gronroos, C.,”Service Quality: The Six Criteria of Good Perceived Service Quality, Review of Business.”,Vol. 9, pp10-13, 1988. [11] Bolfing, C.P.,”How Do Customer Express Dissatisfaction and WhatCan Service Marketers Do About It?, Journal of Services Marketing”,Vol.3,No. 2, pp5-23, 1989.