Relevant bibliographies by topics / Location tracking

Academic literature on the topic 'Location tracking'

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Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Location tracking"

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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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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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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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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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Scarponcini, Paul. "ISO 19133 Tracking and Navigation Standard." Transportation Research Record: Journal of the Transportation Research Board 1935, no. 1 (January 2005): 77–84. http://dx.doi.org/10.1177/0361198105193500109.

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Most information maintained by a department of transportation (DOT) includes a physical location to specify where the data apply. Most often, this location is described with a linear referencing method (LRM). Because no single method is best for all applications, multiple methods are often used in each DOT. Engineers use stationing to locate construction items. Transportation data administrators may use mile point to locate roadway characteristics. Safety officers often use reference markers to locate crashes. TRB has stated that location can serve as an integrating concept for assimilating data from multiple sources. Until now, there were no standards for linear referencing methods; they vary between databases and between DOTs. Consequently, it has been difficult to integrate data from numerous sources by using locations with disparate formats. A new ISO standard should help remedy this situation. The ISO 19133 tracking and navigation standard includes a package for linear reference systems. It generalizes how linear locations are specified to enable translation between locations from different methods. It is based on the generalized model for linear reference, an abstraction of the NCHRP 20-27 conceptual model. According to the standard, locations are formalized as position expressions composed of a method of measurement (LRM), a linear element along which the measure is made, and the measurement itself. Locations can be on the linear element or offset laterally to either side. This paper explains the standard, how it was derived, and its implementation at the Minnesota DOT in its location data manager project.
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S, Kumaravel, Premkumar M, Subash J, Rajkumar K, and Sathishkumar K. "Tracking of Soldiers Location in any Environment using Intelligent Tracking and Health Indication System by using RSSI." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 05, no. 03 (June 19, 2017): 06–10. http://dx.doi.org/10.9756/sijcsea/v5i3/05010090101.

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Xiu, Chunbo, Shian Wei, Rongfeng Wan, Yi Cheng, Jing Luo, and Huixin Tian. "CamShift Tracking Method Based on Target Decomposition." Mathematical Problems in Engineering 2015 (2015): 1–20. http://dx.doi.org/10.1155/2015/524120.

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In order to avoid the inaccurate location or the failure tracking caused by the occlusion or the pose variation, a novel tracking method is proposed based on CamShift algorithm by decomposing the target into multiple subtargets for location separately. Distance correlation matrices are constructed by the subtarget sets in the template image and the scene image to evaluate the correctness of the location results. The error locations of the subtargets can be corrected by resolving the optimization function constructed according to the relative positions among the subtargets. The directions and sizes of the correctly located subtargets with CamShift algorithm are updated to reduce the disturbance of the background in the tracking progress. Simulation results show that the method can perform the location and tracking of the target and has better adaptability to the scaling, translation, rotation, and occlusion. Furthermore, the computational cost of the method increases slightly, and its average tracking computational time of the single frame is less than 25 ms, which can meet the real-time requirement of the TV tracking system.
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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.
M.S.Cp.E.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Computer Engineering
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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
de facto&rdquo
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.
M.S.Cp.E.
Department of Electrical and Computer Engineering
Engineering and Computer Science
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.
Cataloged from PDF version of thesis.
Includes bibliographical references (pages 65-67).
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.
by Emad William Farag.
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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Dholakia, Kaival. "ANDROID AND WEB APPLICATION FOR TRACKING EMPLOYEES." CSUSB ScholarWorks, 2019. https://scholarworks.lib.csusb.edu/etd/953.

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The purpose that this tracking system serves is to keep track of the employees of the company who have the nature of their job which involves a lot of traveling to various locations on a day to day basis. It is an amalgamation of Android as well as a Web application. The employee is supposed to pass the location and image as per the terms and conditions specified to use the Android application. The web application is used by the admin department to access the information which would help them monitor the location of the employee in a timely manner. The Android application is developed using Native Android on Android Studio while Visual Studio 2017 is being used for the functioning of the web application.
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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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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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Verstraete, Ginette. Tracking Europe: Mobility, diaspora, and the politics of location. Durham [NC]: Duke University Press, 2009.

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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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Electronic warfare target location methods. Boston: Artech House, 2012.

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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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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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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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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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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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Yedukondalu, K., K. Chaitanya Nag, and S. Jancy. "Student Location Tracking Inside College Infrastructure." In Advances in Systems, Control and Automations, 391–98. Singapore: Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-15-8685-9_40.

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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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Aminuddin, Mohamad Amar Irsyad Mohd, Mohd Azam Osman, Wan Mohd Nazmee Wan Zainon, and Abdullah Zawawi Talib. "Location Tracking and Location Prediction Techniques for Smart Traveler Apps." In Advances in Intelligent Systems and Computing, 83–96. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-29516-5_8.

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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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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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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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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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Chan, Eddie C. L., George Baciu, and S. C. Mak. "Wireless Tracking Analysis in Location Fingerprinting." In 2008 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications (WIMOB). IEEE, 2008. http://dx.doi.org/10.1109/wimob.2008.30.

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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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Sack, Stefan, Knut Kröger, and Reiner Creutzburg. "Location tracking forensics on mobile devices." In IS&T/SPIE Electronic Imaging, edited by Cees G. M. Snoek, Lyndon S. Kennedy, Reiner Creutzburg, David Akopian, Dietmar Wüller, Kevin J. Matherson, Todor G. Georgiev, and Andrew Lumsdaine. SPIE, 2013. http://dx.doi.org/10.1117/12.2003952.

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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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Benameur, K. "Optimal receiver location for emitter tracking." In Proceedings of American Control Conference. IEEE, 2001. http://dx.doi.org/10.1109/acc.2001.945649.

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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, 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, 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 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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8

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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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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Abstract:
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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10

Seybold, Patricia. Are You Tracking Your Customers’ Locations on Their Mobile Phones? Boston, MA: Patricia Seybold Group, July 2012. http://dx.doi.org/10.1571/psgp07-19-12cc.

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