Relevant bibliographies by topics / Location tracking

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Location tracking'

Author: Grafiati
Published: 4 June 2021
Last updated: 9 June 2025

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Journal articles on the topic "Location tracking"

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Prabu, Mr M. "Live Location Tracking." International Journal for Research in Applied Science and Engineering Technology 13, no. 4 (April 30, 2025): 2209–15. https://doi.org/10.22214/ijraset.2025.68741.

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Live Location Tracking System is an interactive web system that tracks users or assets on an interactive map with real or simulated GPS information. It provides real-time tracking with dynamic markers, direction guidance, and time-stamped movement history. It uses React.js for frontend, Tailwind CSS-styled for design, and Chart.js for data visualization. It uses API services handled by Python and Flask for backend with GPS data processed with Pandas. Axios takes care of API communication between backend and frontend for smooth data transmission. User and admin data with profiles and location history are saved securely in a MySQL database accessed with phpMyAdmin. Secure login, admin dashboard, trails for routes, and live display of coordinates are included in the system. For scalability, future upgrades such as integration of real GPS hardware, WebSocket-based real-time tracking, and predictive analysis are provided. It offers real-world applications such as logistics, transport tracking, personal protection, and asset tracking. Being an open-source platform, it offers a cost-efficient, flexible option for live location tracking systems.
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Sunil Saraf, Daksha. "Location Tracking Using GPS through Micro-Controller." International Journal of Science and Research (IJSR) 11, no. 11 (November 5, 2022): 374–78. http://dx.doi.org/10.21275/sr221103012029.

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N, Vinaykumar, Sai Kumar Kodumunja, Akshitha Ramavarapu, and Sushma Ch. "Application Based Bus Tracking System." International Journal for Research in Applied Science and Engineering Technology 10, no. 6 (June 30, 2022): 1451–57. http://dx.doi.org/10.22214/ijraset.2022.44007.

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Abstract: Buses are available to transport people to a variety of locations, although few passengers are aware of their existence. Complete information, such as the verity of buses those travel those the required end of location, bus numbers, bus time to, bus route data, and the time instant it will take for the vehicle to arrive at its end location, will assist passengers with various routes, track the present location of the bus, and provide the correct time for the bus to arrive at its end location. The proposed system is designed to address the concerns listed above. The system is an web app that offers critical bus data for all of Hyderabad. Because the Android Operating System provides a lot of features, it was picked for this type of gadget.It has only lately been released. It has grown to enormous proportions, with about every second person owning a piece of it. Since its launch, an everincreasing number of Android apps have been created on a massive scale. A vehicle tracking system can be used to track a vehicle's location and movement at any time and from any location. A fastest Google locations and GPS_module-based car tracks object are used in this project. These are some examples of similar ideas that have been attempted to be implemented in engineering and technology literature. To create a smartphone application that allows bus riders to track their bus's location? Users would be able to look for a specific bus by inputting its number, and the programme would reveal the bus's current location.Essentially, this programme provides a brief overview of bus locations, routes, and expected travel time with an online attendance feature, and it is entirely based on Google Maps and its API. Keywords: API, Web-Server, Google Maps,Android Studio ,Android SDK, GPS Tracking unit
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Wadhwa, Lalit Kumar, Vishnu Priye, Reshma Muralidharan, Chitralekha Ruikar, and Venancius Norman. "Real Time Location Tracking System for Metal Miners." International Journal of Future Computer and Communication 3, no. 4 (2014): 267–70. http://dx.doi.org/10.7763/ijfcc.2014.v3.309.

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GAVRILĂ, Cristinel, Eleonora JELESCU, and Marian ALEXANDRU. "OUTDOOR HYBRID LOCATION TRACKING SYSTEM WITH REMOTE MONITORING." Review of the Air Force Academy 14, no. 1 (May 16, 2016): 85–90. http://dx.doi.org/10.19062/1842-9238.2016.14.1.12.

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Kumar, G. Sunderesh, M. Gokulnath, and S. Priya. "Location tracking using Google Cloud Messaging on Android." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 651–54. http://dx.doi.org/10.31142/ijtsrd10925.

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Hashim, Norlezah, Fakrulradzi Idris, Tuan Nur Anisa Tuan Ab Aziz, Siti Halma Johari, Rozilawati Mohd Nor, and Norfariza Ab Wahab. "Location tracking using LoRa." International Journal of Electrical and Computer Engineering (IJECE) 11, no. 4 (August 1, 2021): 3123. http://dx.doi.org/10.11591/ijece.v11i4.pp3123-3128.

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<span>Local area network (LAN) as Bluetooth, WiFi and ZigBee are well established technology. The biggest problem with many LAN is the battery consumption and short ranges link budgets. LoRa is a new, private, unlicensed and spread spectrum modulation technique which allows sending low rates at extremely long ranges with minimal power consumption. More importantly, there is no access fee associated with this type of wireless technology. The main idea behind this work is to conduct performance and capability analysis of a currently available LoRa transceiver. We develop a location monitoring system using LoRa and global positioning system (GPS) module and we analyze the detectable range of its data, its battery consumption as well as received signal strength indicator (RSSI). Our deployment experiment demonstrates that the sy<span>stem is able to detect the transmitted data within 290 meters of distances. Using 6 volts of battery AA, the transmission of data still occurred after 24 hours</span>. <span>This project is emphasized a location monitoring system that provide low power usage</span> but long range.</span>
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Potter, Bruce. "Wireless-based location tracking." Network Security 2003, no. 11 (November 2003): 4–5. http://dx.doi.org/10.1016/s1353-4858(03)01105-x.

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Bajaj, R., S. L. Ranaweera, and D. P. Agrawal. "GPS: location-tracking technology." Computer 35, no. 3 (March 2002): 92–94. http://dx.doi.org/10.1109/2.993780.

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Bajaj, R., S. L. Ranaweera, and D. P. Agrawal. "GPS: location-tracking technology." Computer 35, no. 4 (2002): 92–94. http://dx.doi.org/10.1109/mc.2002.993780.

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Dissertations / Theses on the topic "Location tracking"

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Shah, Zawar Electrical Engineering &amp Telecommunications Faculty of Engineering UNSW. "Location tracking architectures for wireless VoIP." Publisher:University of New South Wales. Electrical Engineering & Telecommunications, 2009. http://handle.unsw.edu.au/1959.4/43324.

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A research area that has recently gained great interest is the development of network architectures relating to the tracking of wireless VoIP devices. This is particularly so for architectures based on the popular Session Initiation Protocol (SIP). Previous work, however, in this area does not consider the impact of combined VoIP and tracking on the capacity and call set-up time of the architectures. Previous work also assumes that location information is always available from sources such as GPS, a scenario that rarely is found in practice. The inclusion of multiple positioning systems in tracking architectures has not been hitherto explored. It is the purpose of this thesis to design and test SIP-based architectures that address these key issues. Our first main contribution is the development of a tracking-only SIP based architecture. This architecture is designed for intermittent GPS availability, with wireless network tracking as the back-up positioning technology. Such a combined tracking system is more conducive with deployment in real-world environments. Our second main contribution is the development of SIP based tracking architectures that are specifically aimed at mobile wireless VoIP systems. A key aspect we investigate is the quantification of the capacity constraints imposed on VoIP-tracking architectures. We identify such capacity limits in terms of SIP call setup time and VoIP QoS metrics, and determine these limits through experimental measurement and theoretical analyses. Our third main contribution is the development of a novel SIP based location tracking architecture in which the VoIP application is modified. The key aspect of this architecture is the factor of two increase in capacity that it can accommodate relative to architectures utilizing standard VoIP. An important aspect of all our tracking architectures is the Tracking Server. This server supplies the location information in the event of GPS unavailability. A final contribution of this thesis is the development of novel particle-filter based tracking algorithms that specifically address the GPS intermittency issue. We show how these filters interact with other features of our SIP based architectures in a seamless fashion.
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Chen, Qing. "ULTRAWIDEBAND INDOOR LOCATION AND TRACKING SYSTEM." Master's thesis, University of Central Florida, 2006. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3948.

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The objective of this thesis is to demonstrate an indoor intruder location and tracking system with UltraWideBand (UWB) technology and use data compression and Constant False Alarm Rate (CFAR) techniques to improve the performance of the location system. Reliable and accurate indoor positioning requires a local replacement for GPS systems since satellite signals are not available indoors. UWB systems are particularly suitable for indoor location systems due their inherent capabilities such as low-power, multi-path rejection, and wide bandwidth. In our application, we are using UWB radios as a radar system for tracking targets in indoor locations. We also use Discrete Cosine Transform (DCT) to compress the UWB scan waveforms from the receivers to the main computer to conserve bandwidth. At the main computer, we use Inverse DCT to recover the original signal. The UWB intruder detection system has the indoor tracking accuracy of four inches. There are many military and commercial applications such as tracking firefighters and locating trapped people in earthquake zones, and so on. This thesis demonstrates the capability of a UWB radar system to locate and track an intruder to an accuracy of four inches in an indoor cluttered environment.<br>M.S.Cp.E.<br>School of Electrical Engineering and Computer Science<br>Engineering and Computer Science<br>Computer Engineering
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Ostroumov, Ivan Victorovich. "Tablet location tracking by inertial sensors." Thesis, ІІI National Scientific Conference of young scientists and students «Problems and prospects of Aeronautics and Astronautics» 23 – 24 October 2014 y – Kyiv, 2014. – P. 13, 2014. http://er.nau.edu.ua/handle/NAU/26586.

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Position detection is one of the key tasks of navigation. Nowadays positioning market represented by different positioning techniques. The main of them for typical civil users is Global Navigation Satellite System which has global coverage but limited for usage in close area (buildings). Telecommunication network also using for positioning purpose but for urban area, this approach not accurate because radio wave reflects from buildings and produce valuable errors. In this case inertial navigation principle can help.
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Liu, Ran. "A location-guided mobile robot control platform /." View abstract or full-text, 2005. http://library.ust.hk/cgi/db/thesis.pl?COMP%202005%20LIUR.

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Pecel, Deniz. "Enhanced Hole Punching For Rssi Location Tracking In Hospitals." Master's thesis, METU, 2008. http://etd.lib.metu.edu.tr/upload/12609406/index.pdf.

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With the enhancement of the Radio signal communication systems, Wi-Fi technology become a &ldquo<br>de facto&rdquo<br>standard used in Campus areas such as hospitals and universities. Besides being used as a data communication method, Received Signal Strength Indicator (RSSI) is also used as a location tracking method. There are lots of studies enhancing the RSSI based location tracking. In this thesis we tried to generate a test environment as close to a real Wi-Fi network scenario as possible. Our aim is to implement a simple moving client among different wireless local area networks, which is tracked across the internet by a stationary client. We also assumed that there is a Network Address Translation (NAT) at both LAN internet edges.
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Ramamurthy, Mahesh. "INDOOR GEO-LOCATION AND TRACKING OF MOBILE AUTONOMOUS ROBOT." Master's thesis, University of Central Florida, 2005. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/3270.

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The field of robotics has always been one of fascination right from the day of Terminator. Even though we still do not have robots that can actually replicate human action and intelligence, progress is being made in the right direction. Robotic applications range from defense to civilian, in public safety and fire fighting. With the increase in urban-warfare robot tracking inside buildings and in cities form a very important application. The numerous applications range from munitions tracking to replacing soldiers for reconnaissance information. Fire fighters use robots for survey of the affected area. Tracking robots has been limited to the local area under consideration. Decision making is inhibited due to limited local knowledge and approximations have to be made. An effective decision making would involve tracking the robot in earth co-ordinates such as latitude and longitude. GPS signal provides us sufficient and reliable data for such decision making. The main drawback of using GPS is that it is unavailable indoors and also there is signal attenuation outdoors. Indoor geolocation forms the basis of tracking robots inside buildings and other places where GPS signals are unavailable. Indoor geolocation has traditionally been the field of wireless networks using techniques such as low frequency RF signals and ultra-wideband antennas. In this thesis we propose a novel method for achieving geolocation and enable tracking. Geolocation and tracking are achieved by a combination of Gyroscope and encoders together referred to as the Inertial Navigation System (INS). Gyroscopes have been widely used in aerospace applications for stabilizing aircrafts. In our case we use gyroscope as means of determining the heading of the robot. Further, commands can be sent to the robot when it is off balance or off-track. Sensors are inherently error prone; hence the process of geolocation is complicated and limited by the imperfect mathematical modeling of input noise. We make use of Kalman Filter for processing erroneous sensor data, as it provides us a robust and stable algorithm. The error characteristics of the sensors are input to the Kalman Filter and filtered data is obtained. We have performed a large set of experiments, both indoors and outdoors to test the reliability of the system. In outdoors we have used the GPS signal to aid the INS measurements. When indoors we utilize the last known position and extrapolate to obtain the GPS co-ordinates.<br>M.S.Cp.E.<br>Department of Electrical and Computer Engineering<br>Engineering and Computer Science<br>Computer Engineering
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DeFries, Danny L. "Inexpensive global location and tracking systems using geostationary satellites." Thesis, Monterey, California. Naval Postgraduate School, 1989. http://hdl.handle.net/10945/27094.

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Farag, Emad William. "Online multi-person tracking using feature-less location measurements." Thesis, Massachusetts Institute of Technology, 2016. http://hdl.handle.net/1721.1/112867.

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Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2016.<br>Cataloged from PDF version of thesis.<br>Includes bibliographical references (pages 65-67).<br>This thesis presents a scalable real-time multi-object tracking system based on feature-less location measurements. The thesis introduces a two-stage object tracking algorithm along with a server infrastructure that allows users to view the tracking results live, replay old frames, or compute long-term analytics based on the tracking results. In the first tracking stage, consecutive measurements are connected to form short tracklets using an algorithm based on MHT. In the second stage, the tracklets are connected to form longer tracks in an algorithm that reduces the tracking problem to a minimum-cost flow problem. The system infrastructure allows for a large number of connected devices or sensors while reducing the possible points of failure. The tracking algorithms are evaluated in a controlled environment and in a daylong experiment in a real setting. In the latter, the number of people detected by the tracking algorithms was correct 83% of the time when tracking was done using noisy motion-based measurements.<br>by Emad William Farag.<br>M. Eng.
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Krenek, Oliver Francis Daley. "Particle Filtering for Location Estimation." Thesis, University of Canterbury. Electrical and Computer Engineering, 2011. http://hdl.handle.net/10092/5805.

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Vehicle location and tracking has a variety of commercial applications and none of the techniques currently used can provide accurate results in all situations. This thesis details a preliminary investigation into a new location estimation method which uses optical environmental data, gathered by the vehicle during motion, to locate and track vehicle positions by comparing said data to pre-recorded optical maps of the intended location space. The design and implementation of an optical data recorder is presented. The map creation process is detailed and the location algorithm, based on a particle filter, is described in full. System tests were performed offline on a desktop PC using real world data collected by the data recorder and their results are presented. These tests show good performance for the system tracking the vehicle once its approximate location is determined. However locating a vehicle from scratch appears to be infeasible in a realistically large location space.
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Cavanaugh, Andrew F. "Bayesian Information Fusion for Precision Indoor Location." Digital WPI, 2011. https://digitalcommons.wpi.edu/etd-theses/157.

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This thesis documents work which is part of the ongoing effort by the Worcester Polytechnic Institute (WPI) Precision Personnel Locator (PPL) project, to track and locate first responders in urban/indoor settings. Specifically, the project intends to produce a system which can accurately determine the floor that a person is on, as well as where on the floor that person is, with sub-meter accuracy. The system must be portable, rugged, fast to set up, and require no pre-installed infrastructure. Several recent advances have enabled us to get closer to meeting these goals: The development of Transactional Array Reconciliation Tomography(TART) algorithm, and corresponding locator hardware, as well as the integration of barometric sensors, and a new antenna deployment scheme. To fully utilize these new capabilities, a Bayesian Fusion algorithm has been designed. The goal of this thesis is to present the necessary methods for incorporating diverse sources of information, in a constructive manner, to improve the performance of the PPL system. While the conceptual methods presented within are meant to be general, the experimental results will focus on the fusion of barometric height estimates and RF data. These information sources will be processed with our existing Singular Value Array Reconciliation Tomography (σART), and the new TART algorithm, using a Bayesian Fusion algorithm to more accurately estimate indoor locations.
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Books on the topic "Location tracking"

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Associates, Richard S. Carson &. The Automated Location Obligation Tracking System user manual. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, Financial Management Division., 1988.

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Richard S. Carson & Associates. The Automated Location Obligation Tracking System user manual. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, Financial Management Division., 1988.

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Richard S. Carson & Associates. The Automated Location Obligation Tracking System user manual. [Washington, D.C.?]: U.S. Dept. of Agriculture, Agricultural Research Service, Financial Management Division., 1988.

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Verstraete, Ginette. Tracking Europe: Mobility, diaspora, and the politics of location. Durham [NC]: Duke University Press, 2009.

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Verstraete, Ginette. Tracking Europe: Mobility, diaspora, and the politics of location. Durham [NC]: Duke University Press, 2009.

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DeFries, Danny L. Inexpensive global location and tracking systems using geostationary satellites. Monterey, Calif: Naval Postgraduate School, 1989.

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M, Wightman Pedro, and Perez Alfredo Jose, eds. Location-based information systems: Developing real-time tracking applications. Boca Raton: CRC Press, 2010.

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Verstraete, Ginette. Tracking Europe: Mobility, diaspora, and the politics of location. Durham [NC]: Duke University Press, 2009.

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Moran, Mark L. Source location and tracking capability of a small seismic array. Hanover, N.H: U.S. Army Cold Regions Research and Engineering Laboratory, 1996.

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Jet Propulsion Laboratory (U.S.), ed. Centroid tracking with area array detectors. Pasadena, Calif: National Aeronautics and Space Administration, Jet Propulsion Laboratory, California Institute of Technology, 1986.

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Book chapters on the topic "Location tracking"

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Shekhar, Shashi, and Hui Xiong. "Location Tracking." In Encyclopedia of GIS, 630. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_721.

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Moallem, Abbas. "Location Tracking." In Understanding Cybersecurity Technologies, 113–22. Boca Raton: CRC Press, 2021. http://dx.doi.org/10.1201/9781003038429-12.

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Dawson, Catherine. "Location awareness and location tracking." In A–Z of Digital Research Methods, 181–87. Abingdon, Oxon ; New York, NY : Routledge, 2019.: Routledge, 2019. http://dx.doi.org/10.4324/9781351044677-28.

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MacCurdy, Robert B., Richard M. Gabrielson, and Kathryn A. Cortopassi. "Automated Wildlife Radio Tracking." In Handbook of Position Location, 1129–67. Hoboken, NJ, USA: John Wiley & Sons, Inc., 2011. http://dx.doi.org/10.1002/9781118104750.ch33.

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Sai, Jasthi Siva, Mukkamala Namitha, Routhu Ramya Dedeepya, Mulugu Suma Anusha, Angadi Lakshmi, and Mukesh Chinta. "Location Tracking via Bluetooth." In Intelligent Computing and Applications, 203–15. Singapore: Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-4162-7_20.

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Harle, Robert, and Andy Hopper. "Cluster Tagging: Robust Fiducial Tracking for Smart Environments." In Location- and Context-Awareness, 14–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752967_2.

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Ruppel, Peter, Georg Treu, Axel Küpper, and Claudia Linnhoff-Popien. "Anonymous User Tracking for Location-Based Community Services." In Location- and Context-Awareness, 116–33. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11752967_9.

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Okuda, Kenji, Shun-yuan Yeh, Chon-in Wu, Keng-hao Chang, and Hao-hua Chu. "The GETA Sandals: A Footprint Location Tracking System." In Location- and Context-Awareness, 120–31. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11426646_12.

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Lorincz, Konrad, and Matt Welsh. "MoteTrack: A Robust, Decentralized Approach to RF-Based Location Tracking." In Location- and Context-Awareness, 63–82. Berlin, Heidelberg: Springer Berlin Heidelberg, 2005. http://dx.doi.org/10.1007/11426646_7.

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McAleavey, Stephen A. "Single Tracking Location Shear Wave Elastography." In Ultrasound Elastography for Biomedical Applications and Medicine, 368–87. Chichester, UK: John Wiley & Sons, Ltd, 2018. http://dx.doi.org/10.1002/9781119021520.ch24.

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Conference papers on the topic "Location tracking"

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Zeidanloo, Hossein Rouhani, and M. A. Ngadi. "Intruder Location Tracking." In 2009 Second International Conference on Computer and Electrical Engineering. IEEE, 2009. http://dx.doi.org/10.1109/iccee.2009.53.

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Yang, Lingxiao, Risheng Liu, David Zhang, and Lei Zhang. "Deep Location-Specific Tracking." In MM '17: ACM Multimedia Conference. New York, NY, USA: ACM, 2017. http://dx.doi.org/10.1145/3123266.3123381.

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Leonhardt, Ulf, and Jeff Magee. "Multi-sensor location tracking." In the 4th annual ACM/IEEE international conference. New York, New York, USA: ACM Press, 1998. http://dx.doi.org/10.1145/288235.288291.

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Padman, Aparna, Jisha D. Saiju, Prabitha Prasad, Sheethu Gopal, and P. P. Hema. "Location Tracking for Blind Swimmers." In 2020 International Conference on Power Electronics and Renewable Energy Applications (PEREA). IEEE, 2020. http://dx.doi.org/10.1109/perea51218.2020.9339790.

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Algrain, Marcelo C. "A target location and pointing algorithm for a three-axis stabilized line scanner (AMIDARS)." In Acquisition, Tracking, and POinting IV. SPIE, 1990. http://dx.doi.org/10.1117/12.2322206.

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Tanaka, Yusuke, Tomoharu Iwata, Takeshi Kurashima, Hiroyuki Toda, and Naonori Ueda. "Estimating Latent People Flow without Tracking Individuals." In Twenty-Seventh International Joint Conference on Artificial Intelligence {IJCAI-18}. California: International Joint Conferences on Artificial Intelligence Organization, 2018. http://dx.doi.org/10.24963/ijcai.2018/494.

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Analyzing people flows is important for better navigation and location-based advertising. Since the location information of people is often aggregated for protecting privacy, it is not straightforward to estimate transition populations between locations from aggregated data. Here, aggregated data are incoming and outgoing people counts at each location; they do not contain tracking information of individuals. This paper proposes a probabilistic model for estimating unobserved transition populations between locations from only aggregated data. With the proposed model, temporal dynamics of people flows are assumed to be probabilistic diffusion processes over a network, where nodes are locations and edges are paths between locations. By maximizing the likelihood with flow conservation constraints that incorporate travel duration distributions between locations, our model can robustly estimate transition populations between locations. The statistically significant improvement of our model is demonstrated using real-world datasets of pedestrian data in exhibition halls, bike trip data and taxi trip data in New York City.
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Motahari, Sara, Hui Zang, Soshant Bali, and Phyllis Reuther. "Mobile applications tracking wireless user location." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503410.

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Huang-Fu, Chien-Chun, Chi-Ling Chen, and Yi-Bing Lin. "Location Tracking for WAVE Unicast Service." In 2010 IEEE 71st Vehicular Technology Conference. IEEE, 2010. http://dx.doi.org/10.1109/vetecs.2010.5493967.

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Ariffin, Ahmad Ashraff Bin, Noor Hafizah Abdul Aziz, and Kama Azura Othman. "Implementation of GPS for location tracking." In 2011 IEEE Control and System Graduate Research Colloquium (ICSGRC). IEEE, 2011. http://dx.doi.org/10.1109/icsgrc.2011.5991833.

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Kiefer, Peter, Florian Straub, and Martin Raubal. "Towards location-aware mobile eye tracking." In the Symposium. New York, New York, USA: ACM Press, 2012. http://dx.doi.org/10.1145/2168556.2168624.

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Reports on the topic "Location tracking"

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REYNOLDS, J. A. Fast Flux Test Facility Asbestos Location Tracking Program. Office of Scientific and Technical Information (OSTI), April 1999. http://dx.doi.org/10.2172/781692.

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Tassiulas, L., and F. M. Anjum. Efficient Location Tracking of Mobile Nodes for Situation Awareness. Fort Belvoir, VA: Defense Technical Information Center, January 1997. http://dx.doi.org/10.21236/ada439719.

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Mutter, Michael. Emergency Department Real Time Location System Patient and Equipment Tracking. Fort Belvoir, VA: Defense Technical Information Center, September 2012. http://dx.doi.org/10.21236/ada573372.

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Mutter, Michael. Emergency Department Real Time Location System Patient and Equipment Tracking. Fort Belvoir, VA: Defense Technical Information Center, October 2013. http://dx.doi.org/10.21236/ada605020.

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Mutter, Michael. Emergency Department Real-Time Location System Patient and Equipment Tracking. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada555007.

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Beasley, Joseph N. A Novel Wave Front Method Used for Tracking Terrestrial Concentrator Focal Spot Location. Fort Belvoir, VA: Defense Technical Information Center, March 2004. http://dx.doi.org/10.21236/ada422658.

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Beasley, Joseph N. A Novel Wave Front Method Used for Tracking Terrestrial Concentrator Focal Spot Location. Fort Belvoir, VA: Defense Technical Information Center, April 2004. http://dx.doi.org/10.21236/ada423560.

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Valdes, James R., and Heather Furey. WHOI 260Hz Sound Source - Tuning and Assembly. Woods Hole Oceanographic Institution, April 2021. http://dx.doi.org/10.1575/1912/27173.

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Sound sources are designed to provide subsea tracking and re‐location of RAFOS floats and other Lagrangian drifters listening at 260Hz. More recently sweeps have been added to support FishChip tracking at 262Hz. These sources must be tuned to the water properties where they are to be deployed as they have a fairly narrow bandwidth. The high‐Q resonator’s bandwidth is about 4Hz. This report documents the tuning, and provides an overview of the sound source assembly.
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Bray, Robert M., Douglas L. Fountain, Barbara J. York, Rick L. Williams, and Robert F. Helms. Geographic Location and Enlistment Propensity of Young Men: Findings from the 1984-1988 Waves of the Youth Attitude Tracking Study. Fort Belvoir, VA: Defense Technical Information Center, January 1988. http://dx.doi.org/10.21236/ada234928.

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Mathew, Jijo K., Christopher M. Day, Howell Li, and Darcy M. Bullock. Curating Automatic Vehicle Location Data to Compare the Performance of Outlier Filtering Methods. Purdue University, 2021. http://dx.doi.org/10.5703/1288284317435.

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Agencies use a variety of technologies and data providers to obtain travel time information. The best quality data can be obtained from second-by-second tracking of vehicles, but that data presents many challenges in terms of privacy, storage requirements and analysis. More frequently agencies collect or purchase segment travel time based upon some type of matching of vehicles between two spatially distributed points. Typical methods for that data collection involve license plate re-identification, Bluetooth, Wi-Fi, or some type of rolling DSRC identifier. One of the challenges in each of these sampling techniques is to employ filtering techniques to remove outliers associated with trip chaining, but not remove important features in the data associated with incidents or traffic congestion. This paper describes a curated data set that was developed from high-fidelity GPS trajectory data. The curated data contained 31,621 vehicle observations spanning 42 days; 2550 observations had travel times greater than 3 minutes more than normal. From this baseline data set, outliers were determined using GPS waypoints to determine if the vehicle left the route. Two performance measures were identified for evaluating three outlier-filtering algorithms by the proportion of true samples rejected and proportion of outliers correctly identified. The effectiveness of the three methods over 10-minute sampling windows was also evaluated. The curated data set has been archived in a digital repository and is available online for others to test outlier-filtering algorithms.
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