Academic literature on the topic 'Persistent Surveillance'
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Journal articles on the topic "Persistent Surveillance":
Ellis, Shellie D., Emily Jones, Kim Kimminau, Laurie Petty, and J. Brantley Thrasher. "Persistent barriers to active surveillance adoption." Journal of Clinical Oncology 34, no. 15_suppl (May 20, 2016): e16618-e16618. http://dx.doi.org/10.1200/jco.2016.34.15_suppl.e16618.
Scherer, Jurgen, and Bernhard Rinner. "Multi-Robot Persistent Surveillance With Connectivity Constraints." IEEE Access 8 (2020): 15093–109. http://dx.doi.org/10.1109/access.2020.2967650.
SantaPietro, John J. "Persistent wide area surveillance from an airship." IEEE Aerospace and Electronic Systems Magazine 27, no. 6 (June 2012): 11–16. http://dx.doi.org/10.1109/maes.2012.6328548.
Bauman, Julie E., and Robert L. Ferris. "Persistent Salivary Human Papillomavirus DNA as a Surveillance Biomarker." JAMA Oncology 1, no. 7 (October 1, 2015): 915. http://dx.doi.org/10.1001/jamaoncol.2015.2606.
Zuo, Yan, Ratnasingham Tharmarasa, Rahim Jassemi-Zargani, Nathan Kashyap, Jeyarajan Thiyagalingam, and Thiagalingam T. Kirubarajan. "MILP Formulation for Aircraft Path Planning in Persistent Surveillance." IEEE Transactions on Aerospace and Electronic Systems 56, no. 5 (October 2020): 3796–811. http://dx.doi.org/10.1109/taes.2020.2983532.
Forshaw, Matthew J., Asad Abedin, Patrick A. Wilson, and Yvonne G. Wilson. "Surveillance and Conservative Management of a Persistent Sciatic Artery Aneurysm." Vascular 13, no. 3 (May 1, 2005): 187–90. http://dx.doi.org/10.1258/rsmvasc.13.3.187.
Nigam, Nikhil. "The Multiple Unmanned Air Vehicle Persistent Surveillance Problem: A Review." Machines 2, no. 1 (January 2, 2014): 13–72. http://dx.doi.org/10.3390/machines2010013.
Forshaw, Matthew J., Asad Abedin, Patrick A. Wilson, and Yvonne G. Wilson. "Surveillance and Conservative Management of a Persistent Sciatic Artery Aneurysm." Vascular 13, no. 03 (2005): 187. http://dx.doi.org/10.2310/6670.2005.00064.
Seyedi, Sepehr, Yasin Yazicioğlu, and Derya Aksaray. "Persistent Surveillance With Energy-Constrained UAVs and Mobile Charging Stations." IFAC-PapersOnLine 52, no. 20 (2019): 193–98. http://dx.doi.org/10.1016/j.ifacol.2019.12.157.
Obar, Joshua J., Shinichiro Fuse, Erica K. Leung, Sarah C. Bellfy, and Edward J. Usherwood. "Gammaherpesvirus Persistence Alters Key CD8 T-Cell Memory Characteristics and Enhances Antiviral Protection." Journal of Virology 80, no. 17 (September 1, 2006): 8303–15. http://dx.doi.org/10.1128/jvi.00237-06.
Dissertations / Theses on the topic "Persistent Surveillance":
Adams, Andrew J. "Multispectral persistent surveillance /." Online version of thesis, 2008. http://hdl.handle.net/1850/7070.
Baykal, Cenk. "Algorithms for persistent autonomy and surveillance." Thesis, Massachusetts Institute of Technology, 2017. http://hdl.handle.net/1721.1/111862.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Cataloged from student-submitted PDF version of thesis.
Includes bibliographical references (pages 67-70).
In this thesis, we consider the problem of monitoring stochastic, time-varying events occurring at discrete locations. Our problem formulation extends prior work in persistent surveillance by considering the objective of successfully completing monitoring tasks in unknown, dynamic environments where the rates of events are time-inhomogeneous and may be subject to abrupt changes. We propose novel monitoring algorithms that effectively strike a balance between exploration and exploitation as well as a balance between remembering and discarding information to handle temporal variations in unknown environments. We present analysis proving the favorable properties of the policies generated by our algorithms and present simulation results demonstrating their effectiveness in several monitoring scenarios inspired by real-world applications. Our theoretical and empirical results support the applicability of our algorithm to a wide range of monitoring applications, such as detection and tracking efforts at a large scale.
by Cenk Baykal.
S.M.
Scott, Robert Derek. "Cooperative tracking for persistent littoral undersea surveillance." Thesis, Monterey, California. Naval Postgraduate School, 2007. http://hdl.handle.net/10945/3000.
The US Navy has identified a need for an autonomous, persistent, forward deployed system to Detect, Classify, and Locate submarines. In this context, we investigate a novel method for multiple sensor platforms acting cooperatively to locate an uncooperative target. Conventional tracking methods based on techniques such as Kalman filtering or particle filters have been used with great success for tracking targets from a single manned platform; the application of these methods can be difficult for a cooperative tracking scenario with multiple unmanned platforms that have considerable navigation error. This motivates investigation of an alternative, set-based tracking algorithm, first proposed by Detweiler et al. for sensor network localization, to the cooperative tracking problem. The Detweiler algorithm is appealing for its conceptual simplicity and minimal assumptions about the target motion. The key idea of this approach is to compute the temporal evolution of potential target positions in terms of bounded regions that grow between measurements as the target moves and shrink when measurements do occur based on an assumed worst-case bound for uncertainty. In this thesis, we adapt the Detweiler algorithm to the scenario of cooperative tracking for persistent undersea surveillance, and explore its limitations when applied to this domain. The algorithm has been fully implemented and tested both in simulation and with postprocessing of autonomous surface craft (ASC) data from the PLUSNet Monterey Bay 2006 experiment. The results indicate that the method provides disappointing performance when applied to this domain, especially in situations where communication links between the autonomous tracking platforms are poor. We conclude that the method is more appropriate for a large N tracking scenario, with a large number of small, expendable tracking nodes, instead of our intended scenario with a smaller number of more sophisticated mobile trackers.
CIVINS
US Navy (USN) author.
Fekkes, Cristina Cameron. "Defining conditions for the use of persistent surveillance." Thesis, Monterey, California : Naval Postgraduate School, 2009. http://edocs.nps.edu/npspubs/scholarly/theses/2009/Dec/09Dec%5FFekkes.pdf.
Thesis Advisor(s): Dahl, Erik. Second Reader: Roberts, Nancy. "December 2009." Description based on title screen as viewed on January 28, 2010. Author(s) subject terms: Persistent surveillance. Includes bibliographical references (p. 61-66). Also available in print.
Marrazzo, Michael James. "Quadrotor control for persistent surveillance of dynamic environments." Thesis, Boston University, 2013. https://hdl.handle.net/2144/12158.
The last decade has witnessed many advances in the field of small scale unmanned aerial vehicles (UAVs). In particular, the quadrotor has attracted significant attention. Due to its ability to perform vertical takeoff and landing, and to operate in cluttered spaces, the quadrotor is utilized in numerous practical applications, such as reconnaissance and information gathering in unsafe or otherwise unreachable environments. This work considers the application of aerial surveillance over a city-like environment. The thesis presents a framework for automatic deployment of quadrotors to monitor and react to dynamically changing events. The framework has a hierarchical structure. At the top level, the UAVs perform complex behaviors that satisfy high- level mission specifications. At the bottom level, low-level controllers drive actuators on vehicles to perform the desired maneuvers. In parallel with the development of controllers, this work covers the implementation of the system into an experimental testbed. The testbed emulates a city using physical objects to represent static features and projectors to display dynamic events occurring on the ground as seen by an aerial vehicle. The experimental platform features a motion capture system that provides position data for UAVs and physical features of the environment, allowing for precise, closed-loop control of the vehicles. Experimental runs in the testbed are used to validate the effectiveness of the developed control strategies.
Advani, Nikhil Kamalkumar. "Decentralized Control of an Energy Constrained Heterogeneous Swarm for Persistent Surveillance." Digital WPI, 2017. https://digitalcommons.wpi.edu/etd-theses/408.
Vasilescu, Iuliu. "Using light underwater : devices, algorithms and systems for maritime persistent surveillance." Thesis, Massachusetts Institute of Technology, 2009. http://hdl.handle.net/1721.1/46790.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 206-219).
This thesis presents a novel approach to long-term marine data collection and monitoring. Long-term marine data collection is a key component for understanding planetary scale physical processes and for studying and understanding marine life. Marine monitoring is an important activity for border protection, port security and offshore oil field operations. However, monitoring is not easy because salt water is a harsh environment for humans and for instruments. Radio communication and remote sensing are difficult below ocean surface. Our approach to ocean data collection relies on the integration of (1) a network of underwater sensor nodes with acoustic and optical communication, (2) an autonomous underwater vehicle (AUV) and (3) a novel sensing device. A key characteristic is the extensive use of visible light for information transfer underwater. We use light for sensing, communication and control. We envision a system composed of sensor nodes that are deployed at static locations for data collection. Using acoustic signaling and pairwise ranging the sensor nodes can compute their positions (self-localize) and track mobile objects (e.g., AUVs). The AUV can visit the sensor nodes periodically and download their data using the high speed, low power optical communication. One consequence of using optical communication for the bulk of the data transfer is that less data needs to be transferred over the acoustic links, thus enabling the use of low power, low data rate techniques. For navigation, the AUV can rely on the tracking information provided by the sensor network. In addition, the AUV can dock and transport sensor nodes efficiently, enabling their autonomous relocation and recovery. The main application of our system is coral reef ecosystem research and health monitoring.
(cont.) In this application the robot and the sensor nodes can be fitted with our novel imaging sensor, capable of taking underwater color-accurate photographs for reef health assessment and species identification. Compared to existing techniques, our approach: (1) simplifies the deployment of sensors through sensor self-localization, (2) provides sensor status information and thus enables the user to capture rare events or to react to sensor failure, (3) provides the user real time data and thus enables adaptive sampling, (4) simplifies mobile sensing underwater by providing position information to underwater robots, (5) collects new types of data (accurate color images) through the use of new sensors. We present several innovations that enable our approach: (1) an adaptive illumination approach to underwater imaging, (2) an underwater optical communication system using green light, (3) a low power modulation and medium access protocol for underwater acoustic telemetry, (4) a new AUV design capable of hovering and of efficiently transporting dynamic payloads. We present the design, fabrication and evaluation of a hardware platform to validate our approach. Our platform includes: (1) AquaNet, a wireless underwater sensor network composed of AquaNodes, (2) Amour, an underwater vehicle capable of autonomous navigation, data muling, docking and efficient transport of dynamic payloads and (3) AquaLight an underwater variable-spectrum Xenon strobe which enables underwater color accurate photography. We use this platform to implement and experimentally evaluate our algorithms and protocols.
by Iuliu Vasilescu.
Ph.D.
Sankaranarayanan, Karthik. "Multiple Instance Learning for Localization and Tracking of Persistent Targets." The Ohio State University, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=osu1313529941.
Paul, Tiffany M. "Application of the Augmented Operator Function Model for Developing Performance Metrics in Persistent Surveillance." Wright State University / OhioLINK, 2013. http://rave.ohiolink.edu/etdc/view?acc_num=wright1389657226.
Landreth, Kent A. Glass John C. "Extending the tactical horizon networking aircraft to enable persistent surveillance and target development for SOF /." Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 2006. http://library.nps.navy.mil/uhtbin/hyperion/06Sep%5FLandreth.pdf.
Thesis Advisor(s): David W. Netzer. "September 2006." Includes bibliographical references (p. 65). Also available in print.
Books on the topic "Persistent Surveillance":
Board, United States Army Science. Platforms for persistent communications, surveillance and reconnaissance--II. Washington, D.C: Dept. of the Army, Assistant Secretary of the Army (Acquisition, Logistics, and Technology), 2009.
Kolodny, Michael A. Ground/air multi-sensor interoperability, integration, and networking for persistent ISR: 6-9 April 2010, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2010.
Kolodny, Michael A. Ground/air multisensor interoperability, integration, and networking for persistent ISR II: 26-28 April 2011, Orlando, Florida, United States. Edited by SPIE (Society). Bellingham, Wash: SPIE, 2011.
Canada, Canada Environnement. Plan national de mise en oeuvre du Canada au titre de la Convention de Stockholm sur les polluants organiques persistants. Ottawa, Ont: Environnement Canada, 2006.
Jr, David Lynch. Tactical Persistent Surveillance Radar with Applications. Scitech Publishing, 2018.
Lynch, David. Tactical Persistent Surveillance Radar with Applications. Institution of Engineering and Technology, 2018. http://dx.doi.org/10.1049/sbra524e.
Pham, Tien, and Michael Kolodny. Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR VIII. SPIE, 2018.
Pham, Tien. Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR III. SPIE, 2012.
Cliff, A. D., M. R. Smallman-Raynor, P. Haggett, D. F. Stroup, and S. B. Thacker. Infectious Diseases: A Geographical Analysis. Oxford University Press, 2009. http://dx.doi.org/10.1093/oso/9780199244737.001.0001.
Book chapters on the topic "Persistent Surveillance":
Soyer, Çağatay, Florian Segor, Barbara Essendorfer, and Wilmuth Müller. "Integrating Persistent Surveillance Systems into ISR Architecture." In Communications in Computer and Information Science, 37–48. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33161-9_8.
Baykal, Cenk, Guy Rosman, Kyle Kotowick, Mark Donahue, and Daniela Rus. "Persistent Surveillance of Events with Unknown Rate Statistics." In Springer Proceedings in Advanced Robotics, 736–51. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-43089-4_47.
Virone, Gilles, Nicolas Vuillerme, Mounir Mokhtari, and Jacques Demongeot. "Persistent Behaviour in Healthcare Facilities: From Actimetric Tele-Surveillance to Therapy Education." In Lecture Notes in Computer Science, 297–311. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-13174-0_23.
Leahy, Kevin, Dingjiang Zhou, Cristian-Ioan Vasile, Konstantinos Oikonomopoulos, Mac Schwager, and Calin Belta. "Provably Correct Persistent Surveillance for Unmanned Aerial Vehicles Subject to Charging Constraints." In Experimental Robotics, 605–19. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-23778-7_40.
Kent, Thomas, Arthur Richards, and Angus Johnson. "Single-Agent Policies for the Multi-Agent Persistent Surveillance Problem via Artificial Heterogeneity." In Multi-Agent Systems and Agreement Technologies, 243–60. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66412-1_16.
de Rosa, Francesca, Thomas Mansfield, Anne-Laure Jousselme, and Alberto Tremori. "Modelling Key Performance Indicators for Improved Performance Assessment in Persistent Maritime Surveillance Projects." In Lecture Notes in Networks and Systems, 295–303. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80624-8_37.
"Multiagent Planning for Persistent Surveillance." In Decision Making Under Uncertainty. The MIT Press, 2015. http://dx.doi.org/10.7551/mitpress/10187.003.0016.
Al Nuaimi, Ohood, Omar Almelhi, Abdulrahman Almarzooqi, Abdulla Al Saadi Al Mansoori, Slim Sayadi, and Issacniwas Swamidoss. "Small UAV: persistent surveillance made possible." In Imaging and Sensing for Unmanned Aircraft Systems. Volume 1: Control and Performance, 309–31. Institution of Engineering and Technology, 2020. http://dx.doi.org/10.1049/pbce120f_ch13.
Brayne, Sarah. "Coding Inequality." In Predict and Surveil, 100–117. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780190684099.003.0006.
Coté, Mark. "‘Bulk Surveillance’, or The Elegant Technicities of Metadata." In Cold War Legacies. Edinburgh University Press, 2016. http://dx.doi.org/10.3366/edinburgh/9781474409483.003.0011.
Conference papers on the topic "Persistent Surveillance":
Renner, R., Z. Hemani, G. Tjoumas, K. Turley, C. Callender, B. Elstad, and P. Smith. "Persistent Surveillance." In 2009 17th International Conference on Geoinformatics. IEEE, 2009. http://dx.doi.org/10.1109/geoinformatics.2009.5293548.
Lewis, Keith. "Systems for persistent surveillance." In SPIE Optical Engineering + Applications, edited by Jean J. Dolne, Thomas J. Karr, Victor L. Gamiz, Stanley Rogers, and David P. Casasent. SPIE, 2011. http://dx.doi.org/10.1117/12.894697.
Mersereau, Russell, Anthony Yezzi, Balaji Ganapathy, Vivek Kaul, and Sumit Mishra. "Hyperspectral Imaging Based Persistent Surveillance." In AIAA Modeling and Simulation Technologies Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2008. http://dx.doi.org/10.2514/6.2008-7098.
Makovkin, Dmitriy, and Jack W. Langelaan. "Optimal Persistent Surveillance using Coordinated Soaring." In AIAA Guidance, Navigation, and Control Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2014. http://dx.doi.org/10.2514/6.2014-0261.
Baglio, S., B. Ando, S. La Malfa, A. R. Bulsara, A. Kho, G. Anderson, P. Longhini, and V. In. "Advanced dynamic magnetometer for persistent surveillance." In 2010 International Waterside Security Conference (WSS). IEEE, 2010. http://dx.doi.org/10.1109/wssc.2010.5730224.
Arvelo, Eduardo, Eric Kim, and Nuno C. Martins. "Maximal persistent surveillance under safety constraints." In 2013 IEEE International Conference on Robotics and Automation (ICRA). IEEE, 2013. http://dx.doi.org/10.1109/icra.2013.6631148.
Coster, Michael, and Jon Chambers. "SCORPION II persistent surveillance system update." In SPIE Defense, Security, and Sensing, edited by Edward M. Carapezza. SPIE, 2010. http://dx.doi.org/10.1117/12.850427.
Coster, Michael, and Cassandra Hunt. "SCORPION II persistent surveillance system update." In SPIE Defense, Security, and Sensing, edited by Edward M. Carapezza. SPIE, 2011. http://dx.doi.org/10.1117/12.884548.
Klein, Mark, Kevin Pitstick, Edwin Morris, Jeffery Hansen, and Javier Vazquez-Trejo. "Applying video summarization to aerial surveillance." In Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR IX, edited by Tien Pham, Michael A. Kolodny, and Dietrich M. Wiegmann. SPIE, 2018. http://dx.doi.org/10.1117/12.2314877.
Nigam, Nikhil. "Dynamic Replanning for Multi-UAV Persistent Surveillance." In AIAA Guidance, Navigation, and Control (GNC) Conference. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-4887.
Reports on the topic "Persistent Surveillance":
Pennington, D. Sonoma Persistent Surveillance System. Office of Scientific and Technical Information (OSTI), March 2006. http://dx.doi.org/10.2172/928535.
Liu, F., and L. A. Bush. Activity Level Change Detection for Persistent Surveillance. Fort Belvoir, VA: Defense Technical Information Center, October 2004. http://dx.doi.org/10.21236/ada457106.
Eisenreich, Jason C. The All Seeing Eye: Space-Based Persistent Surveillance in 2030. Fort Belvoir, VA: Defense Technical Information Center, April 2009. http://dx.doi.org/10.21236/ada539694.
Walker, Thomas W. Ft. Hood iScout to Persistent Ground Surveillance System (PGSS) Cueing Demonstration. Fort Belvoir, VA: Defense Technical Information Center, June 2011. http://dx.doi.org/10.21236/ada545592.
Wasser, Ed, Sanjay Boddhu, Niranjan Kode, and Telford Berkey. Analyst Performance Measures. Volume 1: Persistent Surveillance Data Processing, Storage and Retrieval. Fort Belvoir, VA: Defense Technical Information Center, September 2011. http://dx.doi.org/10.21236/ada567802.
Altynova, Marina, Ed Wasser, Telford Berkey, Sanjay Boddhu, Tin Sa, and Brian Tsou. Analyst Performance Measures. Volume 2: Information Quality Tools for Persistent Surveillance Data Sets. Fort Belvoir, VA: Defense Technical Information Center, October 2011. http://dx.doi.org/10.21236/ada567803.
Paul, Tiffany M., Mary Fendley, and Soloman Gibbs. Application of the Augmented Operator Function Model for Developing Cognitive Metrics in Persistent Surveillance. Fort Belvoir, VA: Defense Technical Information Center, September 2013. http://dx.doi.org/10.21236/ada595397.
Nidal, Jodeh M. Optimal UAS Assignments and Trajectories for Persistent Surveillance and Data Collection from a Wireless Sensor Network. Fort Belvoir, VA: Defense Technical Information Center, December 2015. http://dx.doi.org/10.21236/ad1003575.
Senecal, J. Design and Implementation of an In?Cache Archival Entropy Coder for the Sonoma Persistent Surveillance System. Office of Scientific and Technical Information (OSTI), October 2008. http://dx.doi.org/10.2172/945859.
Bucholtz, Frank, Jonathan M. Nichols, Michael D. Duncan, and Leslie N. Smith. The Feasibility of Nonlinear Dimensionality Reduction for the Rapid Analysis of Persistent Surveillance Data, including the Detection of IED Placement Activity. Fort Belvoir, VA: Defense Technical Information Center, October 2008. http://dx.doi.org/10.21236/ada488142.