ISSN: 0975-766X CODEN: IJPTFI Available Online through ......designed a high-accuracy global positioning solution based on Global Positioning System and human mobility captured by

Swathika B* et al. International Journal Of Pharmacy & Technology

IJPT| June-2016 | Vol. 8 | Issue No.2 | 11853-11862 Page 11853

ISSN: 0975-766X CODEN: IJPTFI Available Online through Research Article

www.ijptonline.com TRACKING AND REPORTING UNOFFICIAL COMMUNICATIONS OF AN

EMPLOYEE USING ANDROID APPS Sujitha G, Swathika B*

Department of Information Technology, Sathyabama University, Chennai, TamilNadu, India.

Email: [email protected]

Received on 27-04-2016 Accepted on 25-05-2016

Abstract

Tracking of mobile communications is becoming increasingly more important applications in our daily life. In this

paper, we develop an android app to assist manager in monitoring the employee’s mobile activities. Every mobile

activity including multimedia messages can be seen and interrupted by the superintendent, who can also monitor

their employee location are (through GPS), access a history of where they've been and set up stored if their human is

going outside of coverage zones, are receiving texts from unapproved numbers or calls from banned persons. We

designed a high-accuracy global positioning solution based on Global Positioning System and human mobility

captured by mobile phones. Our aim is to develop the Application that allows Manager to monitor their employee

mobility activities. That smart phone-enabled dead reckoning support accurate but local coordinates of user’s

trajectories, while GPS provides global but inconsistent coordinate. Considering them simultaneously, the project

device techniques to refine the global positioning results by fitting global positions to the structure of locally

measured ones, so the refined positioning results are more likely to elicit the ground truth. This work develops a

prototype system, named GloCal conduct comprehensive experiments in both crowded urban and spacious suburban

areas. Our work is to develop an efficient and improved geographical asset tracking Solution and conserve the

valuable mobile resources dynamically adapting the tracking scheme by means of context-aware personalized route

learning techniques. The system uses Android based mobile phones for the software to be run. The alert is also stored

in the centralized server about the details of incoming call, text and multimedia messages and the timely location

update of their employee. Manager may later login into the centralized server and view the details of their employee

mobile usage.

Keyword: Global Positioning Solution, Human Mobility capture, Android, IMEI Number.



I. Introduction

Employee monitoring system is really very helpful for the Manager to monitor their Employee through mobile

phones. The Employee mobile will act as a both GPS receiver and GPRS transmitter which will use the GSM

network to transmit the GPRS packets. On this phone we'll install our application which is supposed to perform all

the operations of tracking. So by using this system, we can avoid the unnecessary things happened for the Employee

those who are having mobile phones by monitoring the mobile phone usage and by tracking their current location

through the GPS. After monitoring the activities, software will transmit the information to the server. The

organization's success depends on employee’s performance, the poor performance is detrimental to the company

success. The objective of business owners is profitability. Creating a well-round approach to manage and coach the

work force requires the expertise of a human resource leader and the support of the company executive leadership.

There are a number of reasons why an employer may wish to monitor or record the employee mobile activities. The

employer need to ensure quality of service, detect misuse of company phone , prevent disclosure of the confidential

information or investigate harassment complaints.

The use of mobile technology and services serves as a communication platform which tremendously influence and

improve the efficiency, effectiveness and productivity of the work. Monitoring System is an application for Android

smart phones. Mobile applications are also called mobile apps is a term used to describe Internet application that run

on smart phones and other mobile devices. Mobile application usually help the admin to track the human location by

connecting them to Internet or help by making it easier to use the Google map to view their exact location.

II. Background

A. Assisted GPS: A low infrastructure approach

In this work [J. LaMance, et al.,2002] as suggested economic crisis, companies in all economic sectors should re-

evaluate their main goal is to achieve the necessary market success. Recent study is how that the potential customers

would rather spend the earnings on domestic equipment and electronic devices like laptops and mobile phones, than

on vacations and travelling. This behaviour generates huge losses for the travel industry and tourism. The potential

solution for the problem is to connect the mobile industry with the travel and tourism in away that will encourage

customers to travel more and enjoy the time by using the interactive and helpful content. One of the thing, the

Internet has brought is outstanding multimedia and user interaction, which enables user to experience almost anything

from the comfort of the home. In this paper we discuss the possibility of mobile device integration in travel and



tourism industry and its has an impact on potential customer groups. At the end of paper, a conceptual model of

mobile service integration of the current travel and tourism industry is presented. For most of us, these skills requires

utilizing our eyes, common sense, and landmarks. Navigation aids other than landmarks are used. These may be in

the form of a simple clock to determine the velocity.

B. Faster GPS via the sparse Fourier transform

In this work [H. Hassanieh, et al., 2012] this paper presents the faster GPS locking algorithm to date. The algorithm

reduce the locking complexity to O (n√log n). Further, if the SNR is above threshold, the algorithm becomes linear,

i.e., O (n). Our algorithm builds on present developments in growing area of sparse recovery. It exploit the sparse

nature of synchronization problem, where only the correct alignment between received GPS signal and the satellite

code causes their cross-correlation to spike. We further shows that the theoretical gains translates into empirical gains

for GPS receivers.

C. Government information about the global positioning system (GPS)

In this work detailed examination of GPS availability is conducted using the nominal GPS constellation. This

includes assessing availability as a function of mask angle and number of failed satellites. In addition to providing

position, velocity, and timing information, GPS needs to provide timely warnings to user when the system should not

be used. This capability is known as integrity. Sources of integrity anomalies are presented, followed by a discussion

of integrity enhancement techniques including receiver consistency checks, such as the Receiver Autonomous

Integrity Monitoring (RAIM) and Fault Detection and Exclusion (FDE), as well as SBAS and GBAS.

This section also describes a number of advanced PVT estimation techniques, including the use of the weighted-least-

squares (WLS) algorithm, the inclusion of additional estimated parameters (beyond the user x, y, z position

coordinates and clock offset), and Kalman filtering.

D. Wireless indoor localization with little human intervention

In this work [Z. Yang, C. Wu, and Y. Liu, 2012] as suggested many GPS, sensed data will only be useful with the

location information, which is so called location based services (LBS). Therefore, the localization of sensor node is

essentially important for implementation of WSNs. Many localization scheme have been introduced, which can be

divided into range-based and range-free.

Due to big difference between the indoor and outdoor environment, scheme designed for indoor or outdoor

localization are relatively different. Only about indoor environment is considered in the scope of this paper. Range-



based schemes are not good choices in indoor environment. To overcome such big problem, range-free scheme, such

as fingerprint-based indoor localization, are introduced. It actually alter the algorithm kernel from geometry issues

into the classified issues.

III. Tracking Mobile Activities

A wide range of tracking system has been developed so far tracking vehicles and displaying their position on a map,

but none of the application has been developed so far which tracks the mobility of a human being. Now a days

tracking a person’s mobile activity has became a crucial issue these days be it tracking a criminal came on payroll or

a detective is going to detect a case or any other utility. The overall objective of this project is to develop a system

which is cost effective and can be used for tracking human being using a GPS and GPRS equipped mobile phone

rather than using a handheld GPS receiver. In the last few years, the smart phones (Android, Black berry and iPhone)

have taken over the market of Nokia based on Symbian Phone in India. And these smart phones come equipped with

A-GPS functionality which provide the spatial coordinates of the user location. Android Network Location Provider

determines user location using cell tower and Wi-Fi signal, providing the location information in a way that works

indoor and outdoor, respond faster, and use less battery power. Assisted GPS, also known as A-GPS or A GPS,

improves the performance of standard GPS in device connected to the wireless network. A-GPS enhances the

location granularity of cell phones (and other connected devices) in two ways n the last few years, the smart phones

(Android, Black berry and iPhone) have taken over the market of Nokia based Symbian Phone in India. And these

smart phones come equipped with A-GPS functionality which provides the spatial coordinate of the user location.

Android's Network Location Provider determines user location using cell tower and Wi-Fi signal, providing location

information in a way that works indoor and outdoor, responds faster, and use less battery power. Assisted GPS, also

known as A-GPS or A GPS, improves the performance of standard GPS in device connected to the wireless network.

A-GPS enhances the location granularity of cell phone (and other connected device) in two ways. By helping in

finding a faster "time to first fix" (TTFF). A-GPS acquires and stores information about the location of satellite via

the cellular network hence the information does not need to be downloaded via satellite.

IV. Architectural Diagram

We develop a prototype system, named GloCal conduct comprehensive experiments in both the crowded urban and

spacious suburban area. This system use android based smart phones for triggering the software that sends alert to the

manager mobile about employee mobile phone activities. GPS is a system that is based on the space satellite



navigation. It consists of satellites, controls and monitor stations and receivers. One of an efficient features of the

GPS receiver is that it calculates the coordinates by precisely timing the signal sent by the GPS satellites. The GPS

receiver picks up the radio signals from a satellites that are monitored and corrected by the control stations. This

system uses Android based mobile phones for the software to be run. In which, it includes Broadcast receiver is used

to receive incoming message and Telephonic manager is used to alert about incoming calls, outgoing calls and missed

calls as shown in fig.1.,. In this proposed system uses GloCal prototype system.

Fig.1 Architecture of Employee Monitoring System.

V. Results and Discussions

Software is divided into separate name and addressable components called modules that are integrated to satisfy

problem requirements. Modularity is single attribute of software that allows a program to be intellectually

manageable. In this system, the Manager can monitor their Employee cell phone incoming SMS and outgoing SMS

activities by receiving SMS alerts from the Employee android based mobile device.

In this it additionally sends the information about the persons who are all sending and receiving SMS and also the

time which has been sent and received and the content which has been transferred among them. Here the Manager

can have more clear decision in order to take necessary steps to avoid the Employee unnecessary activities. In this

module we are specially designed to track the current location of Employee through GPS.

So that the Manager can also monitor the Employee wherever they have travelled and also the current position they

are available. Here it gives timely update to their Employee current location as an SMS alert to their Manager mobile.

A. Monitoring and Alerting about Calls

In this module, this system allows Manager to monitor their Employee activities with the help of mobile phone

incoming calls and outgoing calls as shown in fig.5.,.



When there is call for Employee mobile as shown in fig.2. and fig.3.,we will get receive an SMS alerts from the

Employee android based mobile device to the Manager as shown in fig.4., and also send information to server. In that

SMS it contains an information about the person who have called or else to whom they called, and also the exact time

call has been done.

Fig.2&3.Incoming Call.

Fig.4&5., Outgoing Call.

B. Monitoring and Alerting about SMS

In this system, the Manager can monitor their Employee cell phone incoming SMS and outgoing SMS activities by

receiving SMS alerts from the Employee android based mobile device. In this it additionally sends the information

about the persons who are all sending and receiving SMS and also the time which has been sent and received and the

content which has been transferred among them as shown in fig.7,8,9.,. Here the Manager can have more clear

decision in order to take necessary steps to avoid the Employee unnecessary activities.

Fig.6&7., Outgoing SMS.



Fig.7&8., Incoming SMS.

Fig.9., Message Alert to Manager Mobile about SMS.

C. Monitoring and Alerting current location of the Employee

In this module we specially designed to track the current location of Employee through GPS. So that the Manager can

also monitor the Employee wherever they have travelled and also the current position they are available as shown in

fig.10,11,12.,. Here it gives timely update to their Employee current location as an SMS alert to their Manager

mobile.

Fig.10., User Login



Fig.11., Employee mobile System.

Fig.12., Employee Location Details.

D. Maintaining the details in the centralized server

This system use Android based mobile phones for the software to be run. The alerts are also stored in the centralized

server like the details of incoming and outgoing call , text and multimedia messages and the timely location update of

their employee as shown in the fig.13,14,15,16.,. Manager may later login into the centralized server and view the

details of their employee mobile usage.

Fig.13. Incoming SMS History.



Fig.14. Outgoing SMS History.

Fig.15. Incoming Call History.

Fig.16. Outgoing Call History.

V. Conclusion

By using the system, we can avoid the unnecessary things happened for the Employee those who are having mobile

phone by monitoring the mobile usage and also by tracking their current location through the GPS. We have used

available resource i.e. our mobile phone which is an usual Android based mobile phone which has GPS and GPRS

facility. By using the free Google API we have drastically reduced the cost of the services. Hence this system

provides a low cost human tracking system using GPRS, GPS on GSM network. The combination of both the

technologies i.e. GPS and GPRS provides a constant, continuous and real time human tracking system.



VI. Future Enhancement

The cost of overall system has been reduced by two facts one is using the existing mobile phone and another is using

GPRS. It has been hoped that the use of the overall system can eliminate the requirement of first the traditional GPS

receiver and second costly SMS based tracking systems. So this system can be used by any person who has a mobile

phone.

References

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2. H. Hassanieh, F. Adib, D. Katabi, and P. Indyk, “Faster gps via the sparse fourier transform,” in Proceedings of

ACM MobiCom, 2012,pp. 353–364.

3. Government information about the global positioning system(gps),”http://www.gps.gov/

4. Z. Yang, C. Wu, and Y. Liu, “Locating in fingerprint space:Wireless indoor localization with little human

intervention,” in Proceedings of ACM MobiCom, 2012, pp. 269–280.

5. Brent Longstaff, Deborah Estrin, Sasank Reddy, Yu Jason Ryder “Ambulation: a tool for monitoring mobility

patterns over time using mobile phones”( 2009).

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7. J. Liu, B. Priyantha, T. Hart, H. Ramos, A. A. Loureiro, and Q. Wang, “Energy efficient gps sensing with cloud

offloading,” in Proceedings of ACM SenSys, 2012.

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GLONASS, Galileo, and more.Springer Verlag Wien, 2008

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10. Hui Liu,” Survey of Wireless Indoor Positioning Techniques and Systems” VOL. 37, NO. 6, NOVEMBER 2007.

Corresponding Author:

Swathika B*

Email: [email protected]
http://www.gps.gov/

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ISSN: 0975-766X CODEN: IJPTFI Available Online through ......designed a high-accuracy global positioning solution based on Global Positioning System and human mobility captured by