dc.contributor | García Álvarez, Julio César | |
dc.contributor | Propagación Electromagnética Aplicada (Propela) | |
dc.contributor | Orjuela Rodríguez, Sebastián [0000-0002-0163-3825] | |
dc.creator | Orjuela Rodríguez, Sebastián | |
dc.date.accessioned | 2023-02-16T14:41:53Z | |
dc.date.accessioned | 2023-06-06T23:43:20Z | |
dc.date.available | 2023-02-16T14:41:53Z | |
dc.date.available | 2023-06-06T23:43:20Z | |
dc.date.created | 2023-02-16T14:41:53Z | |
dc.date.issued | 2020 | |
dc.identifier | https://repositorio.unal.edu.co/handle/unal/83498 | |
dc.identifier | Universidad Nacional de Colombia | |
dc.identifier | Repositorio Institucional Universidad Nacional de Colombia | |
dc.identifier | https://repositorio.unal.edu.co/ | |
dc.identifier.uri | https://repositorioslatinoamericanos.uchile.cl/handle/2250/6651472 | |
dc.description.abstract | En este trabajo de tesis se presenta un análisis de sistemas de identificación, localización y seguimiento de personas. Con el fin de medir el flujo de usuarios en las salas de trabajo del laboratorio de Electricidad y Electrónica de la Universidad Nacional de Colombia - Sede Manizales de forma automatizada.
El sistema propuesto consta de tres partes fundamentales: (1) un sistema de radar de onda continua modulado en frecuencia (FM-CW) con arquitectura MISO que opera a una frecuencia de entre 60 y 64 GHz el cual se encarga de la identificación de personas; (2) un Sistema de RFID de UHF con frecuencia de operación de entre 902 y 928 MHz que lee tarjetas RFID de tipo microstrip que se encarga del conteo de usuarios y (3) un algoritmo de IA basado en Lógica Difusa que se encargara´ de relacionar la información recibida del radar y el RFID y con la cual tomaran decisiones que le permitan al Laboratorio hacer una medición real del flujo de usuarios en sus salas y facilitará la presentación de estos al momento de realizar informes de gestión. (Texto tomado de la fuente) | |
dc.description.abstract | Abstract In this thesis work, an analysis of systems for identifying, locating and tracking people is presented. In order to measure the flow of users in the work rooms of the Electricity and Electronics laboratory of the National University of Colombia - Manizales campus in an automated way.
The proposed system consists of three fundamental parts: (1) a frequency modulated con- tinuous wave (FM-CW) radar system with MISO architecture that operates at a frequency between 60 and 64 GHz which is responsible for the identification of people ; (2) a UHF RFID System with an operating frequency between 902 and 928 MHz that reads microstrip RFID cards that is in charge of counting users and (3) an AI algorithm based on Fuzzy Logic that will be in charge of relating the information received from the radar and RFID and with which they will make decisions that allow the Laboratory to make a real measurement of the flow of users in their rooms and will facilitate their presentation when making management reports. | |
dc.language | spa | |
dc.publisher | Universidad Nacional de Colombia | |
dc.publisher | Manizales - Ingeniería y Arquitectura - Maestría en Ingeniería - Automatización Industrial | |
dc.publisher | Facultad de Ingeniería y Arquitectura | |
dc.publisher | Manizales, Colombia | |
dc.publisher | Universidad Nacional de Colombia - Sede Manizales | |
dc.relation | 2019. URL https://www.xethru.com/x4m300-presence-sensor.html | |
dc.relation | R. A. Watson. Improvements in or relating to wireless systems, 1935. | |
dc.relation | M. K. Baczyk, P. Samczynski, P. Krysik, and K. Kulpa. Tra c density monitoring using
passive radars. IEEE Aerospace and Electronic Systems Magazine, 32(2):14{21, February
2017. doi: 10.1109/MAES.2017.150271. | |
dc.relation | I. Haritaoglu, D. Harwood, and L. S. Davis. Hydra: multiple people detection and tracking
using silhouettes. In Proceedings 10th International Conference on Image Analysis and
Processing, pages 280{285, 1999. | |
dc.relation | R. Mu~noz-Salinas, E.Aguirre, and M. Garc a-Silvente. People detection and tracking using
stereo vision and color. Image and Vision Computing, 25(6):995 { 1007, 2007. ISSN
0262-8856. | |
dc.relation | T. J. Ram rez Rozo. Evaluaci on de calidad de im agenes en ensayo termogr a?co no destructivo.
Master's thesis, Universidad Nacional de Colombia - Sede Manizales, 2013. URL
http://bdigital.unal.edu.co/12425/. | |
dc.relation | H. A. Fandi~no Toro. Diagn ostico e identi?caci on de fallas en motores industriales a trav es
del an alisis de im agenes termogr a?cas. Master's thesis, Universidad Nacional de Colombia
- Sede Manizales, 2012. URL http://bdigital.unal.edu.co/7187/. | |
dc.relation | A. Gaszczak, Breckon T., and J. Han J. Real-time people and vehicle detection from UAV
imagery. In Juha R oning, David P. Casasent, and Ernest L. Hall, editors, Intelligent
Robots and Computer Vision XXVIII: Algorithms and Techniques, volume 7878, pages 71
{ 83. International Society for Optics and Photonics, SPIE, 2011. doi: 10.1117/12.876663.
URL https://doi.org/10.1117/12.876663. | |
dc.relation | J. Portmann, S. Lynen, M. Chli, and R. Siegwart. People detection and tracking from
aerial thermal views. In 2014 IEEE International Conference on Robotics and Automation
(ICRA), pages 1794{1800, May 2014. doi: 10.1109/ICRA.2014.6907094. | |
dc.relation | J.Wetzel, S. Zeitvogel, A. Laubenheimer, and M. Heizmann. Towards global people detection
and tracking using multiple depth sensors. In 2018 International Symposium on Electronics
and Telecommunications (ISETC), pages 1{4, 2018. | |
dc.relation | C. Alvarez Aparicio, A. M. Guerrero-Higueras, F. J. Rodr guez-Lera, J. G. Clavero,
F. M.Rico, and V. Matell an. People detection and tracking using lidar sensors. Robotics,
8(3), 2019. ISSN 2218-6581. URL https://www.mdpi.com/2218-6581/8/3/75 | |
dc.relation | S Ram rez Castillo Ram rez Castillo. Estudio de las interferencias en detecci on de blancos
para un sistema lidar FMCW. PhD thesis, Escola T ecnica Superior D'enginyeria, 2009. | |
dc.relation | V. Nguyen and J Pyun. Location detection and tracking of moving targets by a 2d ir-uwb
radar system. Sensors, 15(3):6740{6762, 2015. ISSN 1424-8220. doi: 10.3390/s150306740.
URL https://www.mdpi.com/1424-8220/15/3/6740. | |
dc.relation | A. Shara , M. Baboli, M. Eshghi, and A. Ahmadian. Respiration-rate estimation of a moving
target using impulse-based ultra wideband radars. Australasian Physical & Engineering
Sciences in Medicine, 35(1):31{39, 2011. doi: 10.1007/s13246-011-0112-2. | |
dc.relation | J. Landt. The history of r d. IEEE Potentials, 24(4):8{11, Oct 2005. doi:
10.1109/MP.2005.1549751. | |
dc.relation | M. Tu, W. Choi, and P. Cheong. Defected ground structure of uwb chipless r d tag for
fmcw radar. In 2018 IEEE International Conference on RFID Technology Application
(RFID-TA), pages 1{4, Sep. 2018. doi: 10.1109/RFID-TA.2018.8552781. | |
dc.relation | B. Choudhury, S.and Sinha and S. Swarnabha. Real time location sensing in mining
- operators share of the pie. Telecom Business Review, 11(1):17{24, 2018. URL
http://ezproxy.unal.edu.co/docview/2297150294?accountid=150292. Copyright -
Copyright Publishing India Group 2018; Ultima actualizaci on - 2019-09-26. | |
dc.relation | JR Zhou. Investigaci on sobre localizaci on en interiores utilizando el sistema RFID. PhD
thesis, Universidad de Zhejiang, China, 2014. | |
dc.relation | A. Malik Shaari and N. Safwati Mohd Nor. Position and orientation detection
of stored object using r d tags. Procedia Engineering, 184:708 { 715,
2017. ISSN 1877-7058. doi: https://doi.org/10.1016/j.proeng.2017.04.146. URL
http://www.sciencedirect.com/science/article/pii/S187770581731651X. | |
dc.relation | Y.S. Chen, T.C. Kao, and J.P. Sheu. A mobile learning system for scaffolding
bird watching learning. Journal of Computer Assisted Learning,
19(3):347{359, 2003. doi: 10.1046/j.0266-4909.2003.00036.x. URL
https://onlinelibrary.wiley.com/doi/abs/10.1046/j.0266-4909.2003.00036.x. | |
dc.relation | D. Fortin-Simard, J. Bilodeau, K. Bouchard, S. Gaboury, B. Bouchard, and A. Bouzouane.
Exploiting passive r d technology for activity recognition in smart homes. IEEE Intelligent
Systems, 30(4):7{15, July 2015. doi: 10.1109/MIS.2015.18. | |
dc.relation | B. Kelvie and M. Kraft. Technology in the mortgage industry: The fannie mae experience. IT
Professional, 7(03):27{32, may 2002. ISSN 1941-045X. doi: 10.1109/MITP.2002.1008534. | |
dc.relation | I. Lopez. Introducci on al radar, 2011. | |
dc.relation | J. W. Choi, S. S. Nam, and S. H. Cho. Multi-human detection algorithm based on an
impulse radio ultra-wideband radar system. IEEE Access, 4:10300{10309, 2016. doi:
10.1109/ACCESS.2016.2647226. | |
dc.relation | A. Ishimaru. Electromagnetic wave propagation, radiation, and scattering from fundamentals
to applications. John Wiley and Sons, Incorporated, 2017. | |
dc.relation | J. Lekner. Theory of re
ection. SPRINGER, 2018. | |
dc.relation | V. S Chernyak. Fundamentals of Multisite Radar Systems. Routledge, 2018. | |
dc.relation | R. B. Dybdal. Radar cross section measurements. Proceedings of the IEEE, 75(4):498{516,
April 1987. doi: 10.1109/PROC.1987.13757. | |
dc.relation | V. C. Chen. Detection and analysis of human motion by radar. In 2008 IEEE Radar
Conference, pages 1{4, May 2008. doi: 10.1109/RADAR.2008.4721059. | |
dc.relation | Ram M. Narayanan, Sonny Smith, and Kyle A. Gallagher. A multifrequency radar system
for detecting humans and characterizing human activities for short-range through-wall and
long-range foliage penetration applications. International Journal of Microwave Science
and Technology, 2014:1{21, 2014. doi: 10.1155/2014/958905. | |
dc.relation | M. Reiher. Optimierung von Sendesignalen zur Vermeidung von Scheinzielen fur frequenzmodulierte
Dauerstrich-Radarsysteme im Automobil. Dr. Hut, 2012. | |
dc.relation | E. Schubert, M. Kunert, W. Menzel, J. Fortuny-Guasch, and J. Chareau. Human rcs measurements
and dummy requirements for the assessment of radar based active pedestrian
safety systems. In 2013 14th International Radar Symposium (IRS), volume 2, pages
752{757, June 2013. | |
dc.relation | Stephen D. Liang. Sense-through-wall human detection based on
uwb radar sensors. Signal Processing, 126:117 { 124, 2016. ISSN
0165-1684. doi: https://doi.org/10.1016/j.sigpro.2015.09.022. URL
http://www.sciencedirect.com/science/article/pii/S0165168415003242. Signal
Processing for Heterogeneous Sensor Networks. | |
dc.relation | Y. Zhou, Y. Fan, L. Zhao, and S. Yin. Siso system model identi cation and fault diagnosis.
In 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control
Conference (IAEAC), pages 1866{1870, Oct 2018. | |
dc.relation | A. M. Haimovich, R. S. Blum, and L. J. Cimini. Mimo radar with widely separated antennas.
IEEE Signal Processing Magazine, 25(1):116{129, 2008. doi: 10.1109/MSP.2008.4408448. | |
dc.relation | Lajos L Hanzo, J Akhtman, Ming Jiang, and Li Wang. Mimo-ofdm for lte, wi and wimax.
Wiley, 2013. | |
dc.relation | B. Friedlander. On the relationship between mimo and simo radars. IEEE Transactions on
Signal Processing, 57(1):394{398, Jan 2009. doi: 10.1109/TSP.2008.2007106. | |
dc.relation | P. P. Vaidyanathan and P. Pal. Mimo radar, simo radar, and i r radar: a comparison. In
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and
Computers, pages 160{167, Nov 2009. doi: 10.1109/ACSSC.2009.5470139. | |
dc.relation | J. P. Stralka, R. M. Thompson, J. Scanlan, and A. Jones. Miso radar beamforming demonstration.
In 2011 IEEE RadarCon (RADAR), pages 889{894, May 2011. doi: 10.1109/RADAR.
2011.5960665. | |
dc.relation | Y. Prabowo and F. Y. Zulki
i. Design of high isolation system for monostatic x-band radar.
In 2017 Progress in Electromagnetics Research Symposium - Fall (PIERS - FALL), pages
1351{1353, Nov 2017. doi: 10.1109/PIERS-FALL.2017.8293340. | |
dc.relation | Haidong Yan, Jun Li, and Guisheng Liao. Multitarget identi cation and localization
using bistatic mimo radar systems. EURASIP J. Adv. Signal Process, 2008:
48:1{48:8, January 2008. ISSN 1110-8657. doi: 10.1155/2008/283483. URL
https://doi.org/10.1155/2008/283483. | |
dc.relation | Pramod K. Varshney. Fundamentals of multisite radar systems: Victor s. chernyak, gordon
and breach science publishers, 1998, 475 pp., isbn 90-5699-165-5. Signal Processing, 81:
2617, 2001. | |
dc.relation | H. Meikle. Modern radar systems. Artech House, 2008. | |
dc.relation | C. Kabakchiev, I. Garvanov, V. Behar, and H. Rohling. The experimental study of possibility
for radar target detection in fsr using l1-based non-cooperative transmitter. In 2013 14th
International Radar Symposium (IRS), volume 2, pages 625{630, June 2013. | |
dc.relation | S. A. Kaiser, A. J. Christianson, and R. M. Narayanan. Multistatic radar exploitation of
forward scattering nulls. In 2016 IEEE Radar Conference (RadarConf), pages 1{6, May
2016. doi: 10.1109/RADAR.2016.7485128. | |
dc.relation | M. Hamid and N. Bjorsell. "base de datos de oportunidades de espectro de geolocalizaci on
en bandas de radar de enlace descendente para radios cognitivas basadas en ofdm", 2011. | |
dc.relation | K. Yujong, S. Setiniyaz, M. Titberidze, and K. H. Jang. Overall perfonmance comparision
of s-band, c-band and x-band based compact xfel facilities, 2012. URL
http://accelconf.web.cern.ch/AccelConf/FEL2012/papers/mopd48.pdf. | |
dc.relation | K. Granstrom, A. Natale, P. Braca, G. Ludeno, and F. Sera no. Gamma gaussian inverse
wishart probability hypothesis density for extended target tracking using x-band marine
radar data. IEEE Transactions on Geoscience and Remote Sensing, 53(12):6617{6631,
Dec 2015. doi: 10.1109/TGRS.2015.2444794. | |
dc.relation | M. Otero. Application of a continuous wave radar for human gait recognition. In Ivan
Kadar, editor, Signal Processing, Sensor Fusion, and Target Recognition XIV, volume
5809, pages 538 { 548. International Society for Optics and Photonics, SPIE, 2005. doi:
10.1117/12.607176. URL https://doi.org/10.1117/12.607176. | |
dc.relation | V.C. Chen, Fayin Li, Shen-Shyang Ho, and H. Wechsler. Micro-doppler e ect in radar: phenomenon,
model, and simulation study. IEEE Transactions on Aerospace and Electronic
Systems, 42(1):2{21, 2006. doi: 10.1109/taes.2006.1603402. | |
dc.relation | K. Chetty, Q. Chen, M.Ritchie, and K. Woodbridge. A low-cost through-the-wall FMCW
radar for stand-o operation and activity detection. In Kenneth I. Ranney and Armin
Doerry, editors, Radar Sensor Technology XXI, volume 10188, pages 65 { 73. International
Society for Optics and Photonics, SPIE, 2017. doi: 10.1117/12.2261680. URL
https://doi.org/10.1117/12.2261680. | |
dc.relation | Sevgi Z ubeyde G urb uz. RADAR DETECTION AND IDENTIFICATION OF HUMAN
SIGNATURES USING MOVING PLATFORMS. PhD thesis, Georgia Institute of Technology,
2009. | |
dc.relation | E. Zaikov. Uwb radar for detection and localization of trapped people. In 11-th INTERNATIONAL
RADAR SYMPOSIUM, pages 1{4, June 2010. doi: 10.5772/10004. | |
dc.relation | Z. Li, Q. An, F. Qi, F. Liang, H. Lv, Y. Zhang, X. Yu, and J. Wang. Detection of people
trapped under the ruins using dual-frequency ir-uwb radar. In 2018 15th European Radar
Conference (EuRAD), pages 83{86, Sep. 2018. doi: 10.23919/EuRAD.2018.8546530. | |
dc.relation | R. Lia~no. Fabricaci on y puesta en marcha de un radar FMCW de bajo coste en banda S.
PhD thesis, Centro Universitario de la Defensa en la Escuela Naval Militar, 2015. | |
dc.relation | Hollis C Chen. Theory of electromagnetic waves. TechBooks, 1992. | |
dc.relation | W. Chunming and D Guoliang. Study of uwb radar life-detection for searching human
subjects. Energy Procedia, 17:1028 { 1033, 2012. ISSN 1876-6102. doi:
https://doi.org/10.1016/j.egypro.2012.02.203. 2012 International Conference on Future
Electrical Power and Energy System. | |
dc.relation | G. H. Lu, G.S. Yang, and J.Q. Wang. The study on detection of the life signals of human
subject based on micropower uwb radar. Chinese Medical Equipment Journal, 26(2):15{17,
2005. | |
dc.relation | L. Liu, Z. Liu, and B. E. Barrowes. Through-wall bio-radiolocation with uwb impulse radar:
Observation, simulation and signal extraction. IEEE Journal of Selected Topics in
Applied Earth Observations and Remote Sensing, 4(4):791{798, Dec 2011. doi: 10.1109/JSTARS.
2011.2157461. | |
dc.relation | A. G. Yarovoy, L. P. Ligthart, J. Matuzas, and B. Levitas. Uwb radar for human being
detection. IEEE Aerospace and Electronic Systems Magazine, 21(3):10{14, March 2006.
doi: 10.1109/MAES.2006.1624185. | |
dc.relation | S. Gezici and Z. Sahinoglu. Theoretical limits for estimation of vital signal parameters using
impulse radio uwb. In 2007 IEEE International Conference on Communications, pages
5751{5756, June 2007. doi: 10.1109/ICC.2007.953. | |
dc.relation | M. Z. Win and R. A. Scholtz. Impulse radio: how it works. IEEE Communications Letters,
2(2):36{38, Feb 1998. doi: 10.1109/4234.660796. | |
dc.relation | Z. Li, W. Li, H. Lv, Y. Zhang, X. Jing, and J. Wang. A novel method for respirationlike
clutter cancellation in life detection by dual-frequency ir-uwb radar. IEEE
Transactions on Microwave Theory and Techniques, 61(5):2086{2092, May 2013. doi:
10.1109/TMTT.2013.2247054. | |
dc.relation | F. Khan, S. K. Leem, and S. H. Cho. Hand-based gesture recognition for vehicular applications
using ir-uwb radar. Sensors, 17(4), 2017. ISSN 1424-8220. doi: 10.3390/s17040833.
URL https://www.mdpi.com/1424-8220/17/4/833. | |
dc.relation | B. Schleicher, I. Nasr, A. Trasser, and H. Schumacher. Ir-uwb radar demonstrator for ultra-
ne movement detection and vital-sign monitoring. IEEE Transactions on Microwave
Theory and Techniques, 61(5):2076{2085, May 2013. doi: 10.1109/TMTT.2013.2252185. | |
dc.relation | J.A. Vilcapoma Villalba. Sistema de radiocomunicaci on como alternativa al sistema de
localizaci on satelital en el monitoreo y localizaci on de unidades m oviles de las empresas
de taxi. PhD thesis, Universidad Continental, Huancayo, Per u., 2019. | |
dc.relation | L. M. Ni, D. Zhang, and M. R. Souryal. R d-based localization and tracking
technologies. IEEE Wireless Communications, 18(2):45{51, April 2011. doi:
10.1109/MWC.2011.5751295. | |
dc.relation | A. Costanzo, D. Masotti, T. Ussmueller, and R. Weigel. Tag, you're it: Ranging and
nding via r d technology. IEEE Microwave Magazine, 14(5):36{46, July 2013. doi:
10.1109/MMM.2013.2259392. | |
dc.relation | M. Li, Y. Chen, Y. Zhang, J. Yang, and H. Du. Fusing r d and computer vision for occlusionaware
object identifying and tracking. In Edoardo S. Biagioni, Yao Zheng, and Siyao
Cheng, editors, Wireless Algorithms, Systems, and Applications, pages 175{187, Cham,
2019. Springer International Publishing. ISBN 978-3-030-23597-0. | |
dc.relation | Ch. Fu, Y.and Wang, R. Liu, G. Liang, H. Zhang, and S. Ur Rehman. Moving object
localization based on uhf r d phase and laser clustering. Sensors, 18(3), 2018. ISSN
1424-8220. doi: 10.3390/s18030825. URL https://www.mdpi.com/1424-8220/18/3/825. | |
dc.relation | R. Liu, A. Koch, and A. Zell. Path following with passive uhf r d received signal strength
in unknown environments. In 2012 IEEE/RSJ International Conference on Intelligent
Robots and Systems, pages 2250{2255, Oct 2012. doi: 10.1109/IROS.2012.6385666. | |
dc.relation | Changjiang Xiao, Nengcheng Chen, Dandan Li, You Lv, and Jianya Gong. Scrms: An r d and
sensor web-enabled smart cultural relics management system. Sensors, 17(1), 2017. ISSN
1424-8220. doi: 10.3390/s17010060. URL https://www.mdpi.com/1424-8220/17/1/60. | |
dc.relation | Daiki Min and Yuehwern Yih. Fuzzy logic-based approach to detecting a passive r d tag in an
outpatient clinic. Journal of Medical Systems, 35(3):423{432, Jun 2011. ISSN 1573-689X.
doi: 10.1007/s10916-009-9377-3. URL https://doi.org/10.1007/s10916-009-9377-3. | |
dc.relation | D. Fortin-Simard, K. Bouchard, S. Gaboury, B. Bouchard, and A. Bouzouane. Accurate passive
r d localization system for smart homes. In 2012 IEEE 3rd International Conference
on Networked Embedded Systems for Every Application (NESEA), pages 1{8, Dec 2012.
doi: 10.1109/NESEA.2012.6474010. | |
dc.relation | W. Gueaieb and M. S. Miah. An intelligent mobile robot navigation technique using r d
technology. IEEE Transactions on Instrumentation and Measurement, 57(9):1908{1917,
Sep. 2008. doi: 10.1109/TIM.2008.919902. | |
dc.relation | Chih-Yung Chen, Jen-Pin Yang, Guang-Jeng Tseng, Yi-Huan Wu, and Rey-Chue Hwang.
An indoor positioning technique based on fuzzy logic. International Multiconference of
Engineers and Computer Scientists, 2:17{19, 2010. | |
dc.relation | Haifa Ben Saber and Mourad Elloumi. Flbra: Indoor wireless sensor networks for fuzzy logic
based routing algorithm. Journal of Engineering Technology, 6(2):239{257, 2016. doi:
10.21859/jet-060220. | |
dc.relation | C.M. Roberts. Radio frequency identi cation (r d). Computers & Security, 25(1):18
{ 26, 2006. ISSN 0167-4048. doi: https://doi.org/10.1016/j.cose.2005.12.003. URL
http://www.sciencedirect.com/science/article/pii/S016740480500204X. | |
dc.relation | R. Bhattacharyya, C. Floerkemeier, and S. Sarma. Low-cost, ubiquitous r d-tagantenna-
based sensing. Proceedings of the IEEE, 98(9):1593{1600, Sep. 2010. doi:
10.1109/JPROC.2010.2051790. | |
dc.relation | C. Balanis. Antenna theory. Wiley-Interscience, 2016. | |
dc.relation | S. L opez Soriano. Dise~no de antenas para etiquetas de r d en escenarios de alta exigencia,
2019. URL http://hdl.handle.net/10803/462033. | |
dc.relation | G. Marrocco. The art of uhf r d antenna design: impedance-matching and size-reduction
techniques. IEEE Antennas and Propagation Magazine, 50(1):66{79, Feb 2008. doi:
10.1109/MAP.2008.4494504. | |
dc.relation | P. V. Nikitin, K. V. S. Rao, S. F. Lam, V. Pillai, R. Martinez, and H. Heinrich. Power
re
ection coe cient analysis for complex impedances in r d tag design. IEEE
Transactions on Microwave Theory and Techniques, 53(9):2721{2725, Sep. 2005. doi:
10.1109/TMTT.2005.854191. | |
dc.relation | J. D. Gri n and G. D. Durgin. Complete link budgets for backscatter-radio and r d
systems. IEEE Antennas and Propagation Magazine, 51(2):11{25, April 2009. doi:
10.1109/MAP.2009.5162013. | |
dc.relation | T. Hassan and S. Chatterjee. A taxonomy for r d. In Proceedings of the 39th Annual Hawaii
International Conference on System Sciences (HICSS'06), volume 8, pages 184b{184b,
Jan 2006. doi: 10.1109/HICSS.2006.32. | |
dc.relation | C. Harrison and R. King. Folded dipoles and loops. IRE Transactions on Antennas and
Propagation, 9(2):171{187, March 1961. doi: 10.1109/TAP.1961.1144962. | |
dc.relation | H. Morishita, Yongho Kim, Y. Koyanagi, and K. Fujimoto. A folded loop antenna system
for handsets. In IEEE Antennas and Propagation Society International Symposium. 2001
Digest. Held in conjunction with: USNC/URSI National Radio Science Meeting (Cat.
No.01CH37229), volume 3, pages 440{443 vol.3, July 2001. doi: 10.1109/APS.2001.960129. | |
dc.relation | Nasimuddin, Z. N. Chen, and X. Qing. Asymmetric-circular shaped slotted microstrip antennas
for circular polarization and r d applications. IEEE Transactions on Antennas
and Propagation, 58(12):3821{3828, Dec 2010. doi: 10.1109/TAP.2010.2078476. | |
dc.relation | C. Calabrese and G. Marrocco. Meandered-slot antennas for sensor-r d tags. IEEE Antennas
and Wireless Propagation Letters, 7:5{8, 2008. doi: 10.1109/LAWP.2007.914123. | |
dc.relation | K. Fotopoulou and B. W. Flynn. Optimum antenna coil structure for inductive powering of
passive r d tags. In 2007 IEEE International Conference on RFID, pages 71{77, March
2007. doi: 10.1109/RFID.2007.346152. | |
dc.relation | L. Ukkonen, M. Scha rath, D. W. Engels, L. Sydanheimo, and M. Kivikoski. Operability
of folded microstrip patch-type tag antenna in the uhf r d bands within 865-
928 mhz. IEEE Antennas and Wireless Propagation Letters, 5:414{417, 2006. doi:
10.1109/LAWP.2006.883085. | |
dc.relation | B. Casta~no, Y. E-Mart n, and L. R-Moreno, M.and Usero. Sistema inteligente de detecci on
y orientaci on de usuarios en bibliotecas. Revista espa~nola de Documentaci on Cient ca,
36(1), 2013. doi: 10.3989/redc.2013.1.916. | |
dc.relation | M. Kristou, A. Ohya, and S. Yuta. Target person identi cation and following based on
omnidirectional camera and lrf data fusion. In 2011 RO-MAN, pages 419{424, July 2011.
doi: 10.1109/ROMAN.2011.6005248. | |
dc.relation | T. Germa, F. Lerasle, N. Ouadah, and V. Cadenat. Vision and r d data fusion for tracking
people in crowds by a mobile robot. Computer Vision and Image Understanding, 114(6):
641 { 651, 2010. ISSN 1077-3142. doi: https://doi.org/10.1016/j.cviu.2010.01.008. URL
http://www.sciencedirect.com/science/article/pii/S1077314210000317. Special
Issue on Multi-Camera and Multi-Modal Sensor Fusion. | |
dc.relation | F. Seco, K. Koutsou, F. Ramos, and A. R. Jim enez. Localizaci on personal en entornos interiores
con tecnolog a r d. Revista Iberoamericana de Autom atica e Inform atica Industrial
RIAI, 10(3):313{324, 2013. doi: 10.1016/j.riai.2013.05.004. | |
dc.relation | Jun Zhang, Gui Tian, Adi Marindra, Ali Sunny, and Ao Zhao. A review of passive r d tag
antenna-based sensors and systems for structural health monitoring applications. Sensors,
17(2):265, 2017. doi: 10.3390/s17020265. | |
dc.relation | D. Bao, Z. Zou, M. Baghaei Nejad, Y. Qin, and L. Zheng. A wirelessly powered uwb r d
sensor tag with time-domain analog-to-information interface. IEEE Journal of Solid-State
Circuits, 53(8):2227{2239, Aug 2018. doi: 10.1109/JSSC.2018.2825455. | |
dc.relation | S. Kunkel, R. Bieber, Ming-Shih Huang, and M. Vossiek. A concept for infrastructure
independent localization and augmented reality visualization of r d tags. In 2009 IEEE
MTT-S International Microwave Workshop on Wireless Sensing, Local Positioning, and
RFID, pages 1{4, Sep. 2009. doi: 10.1109/IMWS2.2009.5307726. | |
dc.relation | G. A. Hofbauer. Fmcw based readout system accuracy enhancement techniques for surface
acoustic wave r d sensors. In 2007 IEEE/MTT-S International Microwave Symposium,
pages 575{578, June 2007. doi: 10.1109/MWSYM.2007.380555. | |
dc.relation | A. Rodriguez Carmona and M. Rodelgo. Desarrollo de un sistema de inteligencia
arti cial para la identi caci on del tr a co a ereo, 2019. URL
http://calderon.cud.uvigo.es/handle/123456789/242. | |
dc.relation | O. Villota. C omo la inteligencia arti cial altera el paisaje de las seguridades.
Revista Conjeturas Sociol ogicas, 7(19):157{198, 2019. ISSN 2313-013X. URL
http://revistas.ues.edu.sv/index.php/conjsociologicas/article/view/1492. | |
dc.relation | J. G. Chac on Rangel, A. S. Fl orez Fuentes, and J. E. Rodr guez Fern andez.
La inteligencia arti cial y sus contribuciones a la f sica m edica
y la bioingenier a. Mundo FESC, 5(9):60{63, dic. 2015. URL
https://www.fesc.edu.co/Revistas/OJS/index.php/mundofesc/article/view/59. | |
dc.relation | J. Castanheira, F. Curado, A. Tom e, and E. Gon calves. Machine learning methods for
radar-based people detection and tracking. In Paulo Moura Oliveira, Paulo Novais, and
Lu s Paulo Reis, editors, Progress in Arti cial Intelligence, pages 412{423, Cham, 2019.
Springer International Publishing. ISBN 978-3-030-30241-2. | |
dc.relation | J. Park and S. H. Cho. Ir-uwb radar sensor for human gesture recognition by using machine
learning. In 2016 IEEE 18th International Conference on High Performance Computing
and Communications; IEEE 14th International Conference on Smart City; IEEE 2nd
International Conference on Data Science and Systems (HPCC/SmartCity/DSS), pages
1246{1249, Dec 2016. doi: 10.1109/HPCC-SmartCity-DSS.2016.0176. | |
dc.relation | S. Banitaan, M. Azzeh, and A. B. Nassif. User movement prediction: The contribution of
machine learning techniques. In 2016 15th IEEE International Conference on Machine
Learning and Applications (ICMLA), pages 571{575, Dec 2016. doi: 10.1109/ICMLA.
2016.0100. | |
dc.relation | J. Garcia-Alvarez and G. Castellanos. Region of interest extraction method using wavelets. In
2009 Second International Conference on Communication Theory, Reliability, and Quality
of Service, pages 119{124, July 2009. doi: 10.1109/CTRQ.2009.28. | |
dc.relation | A. Treptow, G. Cielniak, and T. Duckett. Real-time people tracking for mobile robots
using thermal vision. Robotics and Autonomous Systems, 54(9):729 { 739,
2006. ISSN 0921-8890. doi: https://doi.org/10.1016/j.robot.2006.04.013. URL
http://www.sciencedirect.com/science/article/pii/S0921889006000832. Selected
papers from the 2nd European Conference on Mobile Robots (ECMR '05). | |
dc.rights | Reconocimiento 4.0 Internacional | |
dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
dc.rights | info:eu-repo/semantics/openAccess | |
dc.title | Análisis de sistemas de detección e identificación de personas en ambiente de laboratorio utilizando radar y RFID | |
dc.type | Trabajo de grado - Maestría | |