Literatura académica sobre el tema "Distributed Data Fusion (DDF)"
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Artículos de revistas sobre el tema "Distributed Data Fusion (DDF)"
Lu, Zongqing, Su-Lim Tan y Jit Biswas. "D2F: A Routing Protocol for Distributed Data Fusion in Wireless Sensor Networks". Wireless Personal Communications 70, n.º 1 (13 de junio de 2012): 391–410. http://dx.doi.org/10.1007/s11277-012-0700-9.
Texto completoJoelson, Anders y Freyr Gauti Sigmundsson. "Additional operation rates after surgery for degenerative spine diseases: minimum 10 years follow-up of 4705 patients in the national Swedish spine register". BMJ Open 12, n.º 12 (diciembre de 2022): e067571. http://dx.doi.org/10.1136/bmjopen-2022-067571.
Texto completoPeyman, Setoodeh, Khayatian Alireza y Farjah Ebrahim. "Attitude Estimation By Divided Difference Filter-Based Sensor Fusion". Journal of Navigation 60, n.º 1 (15 de diciembre de 2006): 119–28. http://dx.doi.org/10.1017/s037346330600405x.
Texto completoChair, Z. y P. K. Varshney. "Distributed Bayesian hypothesis testing with distributed data fusion". IEEE Transactions on Systems, Man, and Cybernetics 18, n.º 5 (1988): 695–99. http://dx.doi.org/10.1109/21.21597.
Texto completoXue, Ying Hua y Jing Li. "Distributed Information Fusion Structure Based on Data Fusion Tree". Advanced Materials Research 225-226 (abril de 2011): 488–91. http://dx.doi.org/10.4028/www.scientific.net/amr.225-226.488.
Texto completoHollinger, Geoffrey A., Srinivas Yerramalli, Sanjiv Singh, Urbashi Mitra y Gaurav S. Sukhatme. "Distributed Data Fusion for Multirobot Search". IEEE Transactions on Robotics 31, n.º 1 (febrero de 2015): 55–66. http://dx.doi.org/10.1109/tro.2014.2378411.
Texto completoFan, Lingling. "Data fusion-based distributed Prony analysis". Electric Power Systems Research 143 (febrero de 2017): 634–42. http://dx.doi.org/10.1016/j.epsr.2016.10.052.
Texto completoMcgrath, Michael y Yuan Zheng. "Distributed contextual data fusion with ACIPL". IEEE Aerospace and Electronic Systems Magazine 24, n.º 8 (agosto de 2009): 31–36. http://dx.doi.org/10.1109/maes.2009.5256385.
Texto completoPark, Gyu-Dong y Young-Tae Byun. "Improving the Distributed Data Fusion Ability of the JDL Data Fusion Model". Journal of the Korea Institute of Military Science and Technology 15, n.º 2 (5 de abril de 2012): 147–54. http://dx.doi.org/10.9766/kimst.2012.15.2.147.
Texto completoHang, Guo y Yu Min. "Data fusion in distributed multi-sensor system". Geo-spatial Information Science 7, n.º 3 (enero de 2004): 214–17. http://dx.doi.org/10.1007/bf02826294.
Texto completoTesis sobre el tema "Distributed Data Fusion (DDF)"
Aziz, Ashraf Mamdouh Abdel. "New data fusion algorithms for distributed multi-sensor multi-target environments". Thesis, Monterey, Calif. : Springfield, Va. : Naval Postgraduate School ; Available from National Technical Information Service, 1999. http://handle.dtic.mil/100.2/ADA369780.
Texto completo"September 1999". Dissertation supervisor(s): Robert Cristi, Murali Tummala. Includes bibliographical references (p. 199-214). Also avaliable online.
Wallace, Christopher John. "Distributed data fusion for condition monitoring of graphite nuclear reactor cores". Thesis, University of Strathclyde, 2013. http://oleg.lib.strath.ac.uk:80/R/?func=dbin-jump-full&object_id=20607.
Texto completoVilsmaier, Christian. "Contextualized access to distributed and heterogeneous multimedia data sources". Thesis, Lyon, INSA, 2014. http://www.theses.fr/2014ISAL0094/document.
Texto completoMaking multimedia data available online becomes less expensive and more convenient on a daily basis. This development promotes web phenomenons such as Facebook, Twitter, and Flickr. These phenomena and their increased acceptance in society in turn leads to a multiplication of the amount of available images online. This vast amount of, frequently public and therefore searchable, images already exceeds the zettabyte bound. Executing a similarity search on the magnitude of images that are publicly available and receiving a top quality result is a challenge that the scientific community has recently attempted to rise to. One approach to cope with this problem assumes the use of distributed heterogeneous Content Based Image Retrieval system (CBIRs). Following from this anticipation, the problems that emerge from a distributed query scenario must be dealt with. For example the involved CBIRs’ usage of distinct metadata formats for describing their content, as well as their unequal technical and structural information. An addition issue is the individual metrics that are used by the CBIRs to calculate the similarity between pictures, as well as their specific way of being combined. Overall, receiving good results in this environment is a very labor intensive task which has been scientifically but not yet comprehensively explored. The problem primarily addressed in this work is the collection of pictures from CBIRs, that are similar to a given picture, as a response to a distributed multimedia query. The main contribution of this thesis is the construction of a network of Content Based Image Retrieval systems that are able to extract and exploit the information about an input image’s semantic concept. This so called semantic CBIRn is mainly composed of CBIRs that are configured by the semantic CBIRn itself. Complementarily, there is a possibility that allows the integration of specialized external sources. The semantic CBIRn is able to collect and merge results of all of these attached CBIRs. In order to be able to integrate external sources that are willing to join the network, but are not willing to disclose their configuration, an algorithm was developed that approximates these configurations. By categorizing existing as well as external CBIRs and analyzing incoming queries, image queries are exclusively forwarded to the most suitable CBIRs. In this way, images that are not of any use for the user can be omitted beforehand. The hereafter returned images are rendered comparable in order to be able to merge them to one single result list of images, that are similar to the input image. The feasibility of the approach and the hereby obtained improvement of the search process is demonstrated by a prototypical implementation. Using this prototypical implementation an augmentation of the number of returned images that are of the same semantic concept as the input images is achieved by a factor of 4.75 with respect to a predefined non-semantic CBIRn
Lin, Erwei Kam Moshe. "Detection in distributed sensor networks /". Philadelphia, Pa. : Drexel University, 2005. http://hdl.handle.net/1860/1303.
Texto completoGnanapandithan, Nithya. "Data detection and fusion in decentralized sensor networks". Thesis, Manhattan, Kan. : Kansas State University, 2005. http://hdl.handle.net/2097/132.
Texto completoPalaniappan, Ravishankar. "A SELF-ORGANIZING HYBRID SENSOR SYSTEM WITH DISTRIBUTED DATA FUSION FOR INTRUDER TRACKING AND SURVEILLANCE". Doctoral diss., University of Central Florida, 2010. http://digital.library.ucf.edu/cdm/ref/collection/ETD/id/2407.
Texto completoPh.D.
School of Electrical Engineering and Computer Science
Engineering and Computer Science
Modeling and Simulation PhD
Cadell, Philip. "BabelFuse data fusion unit with precision wireless clock synchronisation". Thesis, Queensland University of Technology, 2012. https://eprints.qut.edu.au/55225/1/Philip_Cadell_Thesis.pdf.
Texto completoGallagher, Jonathan G. "Likelihood as a Method of Multi Sensor Data Fusion for Target Tracking". The Ohio State University, 2009. http://rave.ohiolink.edu/etdc/view?acc_num=osu1244041862.
Texto completoBorkar, Milind. "A distributed Monte Carlo method for initializing state vector distributions in heterogeneous smart sensor networks". Diss., Georgia Institute of Technology, 2008. http://hdl.handle.net/1853/22680.
Texto completoJones, Malachi Gabriel. "Design and implementation of a multi-agent systems laboratory". Thesis, Atlanta, Ga. : Georgia Institute of Technology, 2009. http://hdl.handle.net/1853/29617.
Texto completoCommittee Chair: Jeff Shamma; Committee Member: Eric Feron; Committee Member: Magnus Egerstedt. Part of the SMARTech Electronic Thesis and Dissertation Collection.
Libros sobre el tema "Distributed Data Fusion (DDF)"
Varshney, Pramod K. Distributed Detection and Data Fusion. New York, NY: Springer New York, 1997.
Buscar texto completoVarshney, Pramod K. Distributed Detection and Data Fusion. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0.
Texto completoVarshney, Pramod K. Distributed detection and data fusion. Editado por Burrus C. S. Berlin: Springer, 1996.
Buscar texto completoVarshney, Pramod K. Distributed detection and data fusion. Editado por Burrus C. S. New York: Springer, 1997.
Buscar texto completoZuidgeest, R. G. Multi-sensor data fusion in a distributed environment - architectural solutions -. Amsterdam: National Aerospace Laboratory, 1992.
Buscar texto completoIyengar, S. S. Advances in distributed sensor integration: Application and theory. Upper Saddle River, N.J: Prentice Hall PTR, 1995.
Buscar texto completoDistributed sensor networks: Sensor networking and applications. 2a ed. Boca Raton: Chapman & Hall/CRC, 2013.
Buscar texto completoS, Schenker Paul, McKee G. T y Society of Photo-optical Instrumentation Engineers., eds. Sensor fusion and distributed robotic agents: 21-22 November 1996, Boston, Massachusetts. Bellingham, Wash: SPIE, 1996.
Buscar texto completoVictor, Lesser, Ortiz Charles L y Tambe Milind 1965-, eds. Distributed sensor networks: A multiagent perspective. Boston: Kluwer Academic Publishers, 2003.
Buscar texto completoMichael, Gastpar, ed. Distributed source coding: Theory, algorithms, and applications. Amsterdam: Academic Press, 2009.
Buscar texto completoCapítulos de libros sobre el tema "Distributed Data Fusion (DDF)"
Varshney, Pramod K. "Distributed Sequential Detection". En Distributed Detection and Data Fusion, 216–32. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_6.
Texto completoDucourthial, Bertrand, Véronique Cherfaoui y Thierry Denoeux. "Self-stabilizing Distributed Data Fusion". En Lecture Notes in Computer Science, 148–62. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-33536-5_15.
Texto completoRegazzoni, C. "Distributed Knowledge-based Systems for Integration of Image Processing Modules". En Data Fusion Applications, 133–54. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-84990-9_14.
Texto completoVarshney, Pramod K. "Introduction". En Distributed Detection and Data Fusion, 1–5. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_1.
Texto completoVarshney, Pramod K. "Elements of Detection Theory". En Distributed Detection and Data Fusion, 6–35. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_2.
Texto completoVarshney, Pramod K. "Distributed Bayesian Detection: Parallel Fusion Network". En Distributed Detection and Data Fusion, 36–118. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_3.
Texto completoVarshney, Pramod K. "Distributed Bayesian Detection: Other Network Topologies". En Distributed Detection and Data Fusion, 119–78. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_4.
Texto completoVarshney, Pramod K. "Distributed Detection with False Alarm Rate Constraints". En Distributed Detection and Data Fusion, 179–215. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_5.
Texto completoVarshney, Pramod K. "Information Theory and Distributed Hypothesis Testing". En Distributed Detection and Data Fusion, 233–50. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0_7.
Texto completoYan, Liping, Lu Jiang y Yuanqing Xia. "Distributed Data Fusion for Multirate Sensor Networks". En Multisensor Fusion Estimation Theory and Application, 53–68. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-15-9426-7_4.
Texto completoActas de conferencias sobre el tema "Distributed Data Fusion (DDF)"
Easthope, P. F. "Track degradation as a consequence of distributed sensor fusion". En 9th IET Data Fusion & Target Tracking Conference (DF&TT 2012): Algorithms & Applications. IET, 2012. http://dx.doi.org/10.1049/cp.2012.0408.
Texto completoAhmed, Nisar. "Conditionally factorized DDF for general distributed Bayesian estimation". En 2014 International Conference on Multisensor Fusion and Information Integration for Intelligent Systems (MFI). IEEE, 2014. http://dx.doi.org/10.1109/mfi.2014.6997717.
Texto completoCoraluppi, Stefano, Laura Vertatschitsch y Craig Carthel. "Decision Sequencing and Distributed Data Association". En 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011334.
Texto completoRendas, Maria-Joao y Jose Manuel Leitao. "Rumor-robust distributed data fusion". En 2010 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems (MFI 2010). IEEE, 2010. http://dx.doi.org/10.1109/mfi.2010.5604462.
Texto completoYan Jin, Lin Sun y Jing Song. "Research on distributed data fusion model". En 2016 IEEE Advanced Information Management, Communicates, Electronic and Automation Control Conference (IMCEC). IEEE, 2016. http://dx.doi.org/10.1109/imcec.2016.7867218.
Texto completoFong, Li-Wei. "Distributed Data Fusion via Hybrid Approach". En IECON 2007 - 33rd Annual Conference of the IEEE Industrial Electronics Society. IEEE, 2007. http://dx.doi.org/10.1109/iecon.2007.4459985.
Texto completoChang, Edward Y., Yuan-Fang Wang y Volkan Rodoplu. "Distributed video data fusion and mining". En Defense and Security, editado por Edward M. Carapezza. SPIE, 2004. http://dx.doi.org/10.1117/12.540115.
Texto completoNicholson, David y Valerie Leung. "Managing a distributed data fusion network". En Defense and Security, editado por Ivan Kadar. SPIE, 2004. http://dx.doi.org/10.1117/12.543612.
Texto completoMcGrath, Michael A. y Yuan F. Zheng. "Distributed Contextual Data Fusion with ACIPL". En 2008 IEEE National Aerospace and Electronics Conference. IEEE, 2008. http://dx.doi.org/10.1109/naecon.2008.4806568.
Texto completoParra-Loera, Ramon, Wiley E. Thompson y Syed A. Akbar. "Multilevel distributed fusion of multisensors data". En Aerospace Sensing, editado por Vibeke Libby y Ivan Kadar. SPIE, 1992. http://dx.doi.org/10.1117/12.138217.
Texto completoInformes sobre el tema "Distributed Data Fusion (DDF)"
Varshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, diciembre de 1999. http://dx.doi.org/10.21236/ada374837.
Texto completoVarshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, marzo de 1994. http://dx.doi.org/10.21236/ada280410.
Texto completoVarshney, Pramod K. Distributed Detection Theory and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, julio de 1995. http://dx.doi.org/10.21236/ada301116.
Texto completoBroman, V. y J. Pack. Effectiveness Measurements for the Distributed Data Fusion Problem. Fort Belvoir, VA: Defense Technical Information Center, junio de 1994. http://dx.doi.org/10.21236/ada283084.
Texto completoBlum, Rick S. A Theory for Distributed Signal Detection and Data Fusion. Fort Belvoir, VA: Defense Technical Information Center, mayo de 2000. http://dx.doi.org/10.21236/ada377472.
Texto completoMori, Shozo, Bruce D'Ambrosio y Doug Hart. Autonomous Distributed Systems. Multiple-Level Distributed Data Fusion for Future DADS Using Bayesian Network Technology. Fort Belvoir, VA: Defense Technical Information Center, enero de 2002. http://dx.doi.org/10.21236/ada399999.
Texto completoSingh, Aarti. Resource-constrained Data Collection and Fusion for Identifying Weak Distributed Patterns in Networks. Fort Belvoir, VA: Defense Technical Information Center, octubre de 2013. http://dx.doi.org/10.21236/ada591821.
Texto completoRamchandran, Kannan y Kristofer Pister. Sensor Webs of SmartDust: Distributed Signal Processing/Data Fusion/Inferencing in Large Microsensor Arrays. Fort Belvoir, VA: Defense Technical Information Center, marzo de 2004. http://dx.doi.org/10.21236/ada422190.
Texto completoLlinas, James, Kedar Sambhoos y Christopher Bowman. Research in Evaluation Methods for Data Fusion-Capable Tactical Platforms and Distributed Multi-platform Systems in Electronic Warfare and Information-Warfare Related Missions. Fort Belvoir, VA: Defense Technical Information Center, febrero de 2009. http://dx.doi.org/10.21236/ada499058.
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