scholarly journals Tracking Women During Threat Using GPS and GSM Module

Author(s):  
Yerraguntla Preetham Reddy

Abstract: During a threat, tracking men/women from any location at any time is considered as extremely beneficial. Using the Global Positioning System (GPS) and Global System for Mobile Communications (GSM) technology, a real-time Google map and Arduino based tracking system is implemented. Geographic coordinates are provided by the GPS module periodically. When a person's location is transmitted, the GSM module sends the latitude and longitude of that location to their cell phone. Finally, a cell phone shows the place's name and location via Google map. This would enable owners/users to monitor moving people/vehicles using their cell phones. This research presents experimental results in order to demonstrate the system's feasibility and effectiveness. In spite of GPS technology's excellent accuracy, it's not always applicable due to technical restrictions, for instance limiting participants' views of the satellites when using public transportation, which is crucial. However, GSM is less accurate in terms of spatial accuracy. Incorporating both technologies could be the key to tracking individual's geographical information (origin, route, destination) in a more comprehensive way. Transportation research can be supported by both kinds of tracking technologies in numerous ways. A GPS/GSM system can be used to track women or children 24/7 respectively to interview them on site in real time. This system may also be employed on vehicles in order to prevent theft. This tracking system works for both business owners and individuals wanting to keep track of their fleets or to keep track of expensive assets in the field without having to be there physically. The vehicle's location (Latitude and Longitude) is communicated continuously from a remote location by means of a GSM modem. The GSM modem automatically returns a realtime latitude and longitude coordinates as a response to that particular mobile phone when a request by the user reaches the number in the GSM modem. On demand, this system will continuously monitor the status of a vehicle in motion.

Author(s):  
Mohammed Osman ◽  
Mohamed Nasor ◽  
Ahmed Imran

Recent developments in device technology and widespread use of cell phone and wireless technology globally have provided an unprecedented opportunity for enhanced healthcare delivery. This study presents development of a cell phone based electronic healthcare system for remote monitoring and control of patients. The system comprises of two modules, each connected to a cell phone for communication of data or instructions. The first module allows real-time data acquisition and analysis from several devices that may be connected to the patient. By calling the cell phone for this module, data can be accessed or any of the connected devices be controlled remotely. Any observed abnormality is reported in real-time by calling a pre-set cell phone. This module allows interactive communication utilizing machine generated voice. Also, this module calls the second module at regular time intervals to transfer the patient’s data over phone. The second module thus receives the data for storage in a central location. All of these features of the system were tested successfully on simulated patient devices. For data and device security, ID and password verifications are required.


2021 ◽  
Vol 18 (4) ◽  
pp. 1147-1152
Author(s):  
Rafael da Silva Ferraz ◽  
Raiff Sales da Fonseca ◽  
Igor Thonke Rodrigues ◽  
Cláudio Bastos da Silva ◽  
Horácio Tertuliano Santos Filho

The main goal of this paper is to present the design of a surface electromyography acquisition, processing and amplification system with low power consumption. Based on a micro-controller and a Bluetooth module, it must send the data to a cell phone in real time. The main topology is based on an operational amplifier and passive components in order to produce filters and an instrumentation amplifier applied to Electromyography (EMG). This paper also shows the equations used during design and describes each step of development, from simulations and testing to acquired data and microcontroller programming. In order to produce a low-cost circuit that can be later used as an acquisition tool for portable mechanisms and prosthesis, the design of the main circuit considers the lowest number of components while it does not compromise efficiency.


Author(s):  
Nicola Mitolo ◽  
Paolo Nesi ◽  
Gianni Pantaleo ◽  
Michela Paolucci

AbstractIn the development of smart cities, there is a great emphasis on setting up so-called Smart City Control Rooms, SCCR. This paper presents Snap4City as a big data smart city platform to support the city decision makers by means of SCCR dashboards and tools reporting in real time the status of several of a city’s aspects. The solution has been adopted in European cities such as Antwerp, Florence, Lonato del Garda, Pisa, Santiago, etc., and it is capable of covering extended geographical areas around the cities themselves: Belgium, Finland, Tuscany, Sardinia, etc. In this paper, a major use case is analyzed describing the workflow followed, the methodologies adopted and the SCCR as the starting point to reproduce the same results in other smart cities, industries, research centers, etc. A Living Lab working modality is promoted and organized to enhance the collaboration among municipalities and public administration, stakeholders, research centers and the citizens themselves. The Snap4City platform has been realized respecting the European Data Protection Regulation (GDPR), and it is capable of processing every day a multitude of periodic and real-time data coming from different providers and data sources. It is therefore able to semantically aggregate the data, in compliance with the Km4City multi-ontology and manage data: (i) having different access policies; and (ii) coming from traditional sources such as Open Data Portals, Web services, APIs and IoT/IoE networks. The aggregated data are the starting point for the services offered not only to the citizens but also to the public administrations and public-security service managers, enabling them to view a set of city dashboards ad hoc composed on their needs, for example, enabling them to modify and monitor public transportation strategies, offering the public services actually needed by citizens and tourists, monitor the air quality and traffic status to establish, if impose or not, traffic restrictions, etc. All the data and the new knowledge produced by the data analytics of the Snap4City platform can also be accessed, observing the permissions on each kind of data, thanks to the presence of an APIs complex system.


Author(s):  
Jayesh Sharma

In this paper, a real time tracking system is put forward. In this we are going to design a system which is used for tracking and positioning by using (GPS) and (GSM). This design is based on embedded application, which will regularly monitor location and report the status. This tracking device which is used in real time vehicle location tracking is done using the Arduino Uno Atmega328P, SIM800A module and NEO 6M GPS module. For doing so, the Arduino Uno Atmega328P is combined serially to a GSM module and GPS module. The design make use of RS-232 protocol for serial communication between the modems and the microcontroller. A serial driver IC is used for transforming TTL voltage levels to RS-232 voltage levels. The GSM module is used to regularly send the position of the vehicle from distant place. The GPS module that makes use of satellite technology for its navigation system will regularly give information like longitude, latitude, speed, distance travelled etc. For this purpose, Amazon Cloud Services is used for location data handling. The MySQL database is used to reserve all the data of the GPS.


2011 ◽  
Vol 8 (2) ◽  
pp. 207-223 ◽  
Author(s):  
Homayoun Bagherinia ◽  
Roberto Manduchi

2020 ◽  
Vol 245 ◽  
pp. 10005
Author(s):  
David Rohr

In LHC Run 3, ALICE will increase the data taking rate significantly to 50 kHz continuous read out of minimum bias Pb-Pb collisions. The reconstruction strategy of the online offline computing upgrade foresees a first synchronous online reconstruction stage during data taking enabling detector calibration, and a posterior calibrated asynchronous reconstruction stage. The significant increase in the data rate poses challenges for online and offline reconstruction as well as for data compression. Compared to Run 2, the online farm must process 50 times more events per second and achieve a higher data compression factor. ALICE will rely on GPUs to perform real time processing and data compression of the Time Projection Chamber (TPC) detector in real time, the biggest contributor to the data rate. With GPUs available in the online farm, we are evaluating their usage also for the full tracking chain during the asynchronous reconstruction for the silicon Inner Tracking System (ITS) and Transition Radiation Detector (TRD). The software is written in a generic way, such that it can also run on processors on the WLCG with the same reconstruction output. We give an overview of the status and the current performance of the reconstruction and the data compression implementations on the GPU for the TPC and for the global reconstruction.


Author(s):  
Anjali Jain ◽  
Agya Mishra

Public Transportation is the major means of Bus among people. A recent survey by the National Sample Survey Organization says that about 62-66% of people use the bus as their mode of transport. Public Bus tracking system aims at providing the instant status of the bus to the users via an automated system. This paper describes a design of IoT enabled real time bus tracking system. In this work a bus tracking mobile phone app is developed, using that people can exactly locate the bus status and time to bus arrival at bus-stop. This work uses high frequency RFID tags at buses and RFID receivers at bus-stops and with NodeMCU real time RIFD tagging (bus running) information is collected and uploaded on cloud. Users can access the bus running and status from cloud on mobile app in real time.


Author(s):  
Francis Kusanhyel Usman ◽  
Gambo Yusuf ◽  
Omega Sajiyus

The ability to track vehicles is useful in many applications including security of personal vehicles, public transportation systems, fleet management and others. Furthermore, the number of vehicles on the road globally is also expected to increase rapidly. Therefore, the development of vehicle tracking system using the Global Positioning System (GPS), Global System for Mobile Communications (GSM) modem, General Packet Radio Service (GPRS) and Google or Open street map respectively is undertaken with the aim of enabling users to locate their vehicles in real time with ease and in a convenient manner. The system will provide users with the capability to track vehicle remotely through the mobile network. This project presents the development of the vehicle tracking system's server and client software. Specifically, the system will utilize GPS to obtain a vehicle's coordinate and transmit it using GSM modem to the user's phone through the mobile network. The system is divided into two parts which are the tracking and monitoring part. The tracking part consist of GPS and an android/IOS mobile phone for navigation purpose. The GPS will provide information about the location of the vehicle. After receiving the location data from the web server, the data is monitored by a personal computer. After processing the data, the location of the vehicle can be viewed on the map.


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