Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction
We discuss three sets of heuristic coefficients used in uniform theory of diffraction (UTD) to characterize the electromagnetic scattering in realistic urban scenarios and canonical examples of diffraction by lossy conducting wedges using the three sets of heuristic coefficients and the Malyuzhinets...
- Autores:
-
Tami, Diego
Navarro, Andres
G. Rego, Cássio
Guevara, Dinael
S. Moreira, Fernando J.
Giménez, Jordi
G. Triana, Hernan
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- UNIVERSIDAD FRANCISCO DE PAULA SANTANDER
- Repositorio:
- Repositorio Digital UFPS
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.ufps.edu.co:ufps/879
- Acceso en línea:
- http://repositorio.ufps.edu.co/handle/ufps/879
https://doi.org/10.1155/2018/3029152
- Palabra clave:
- Rights
- openAccess
- License
- Atribución 4.0 Internacional (CC BY 4.0)
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Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| spellingShingle |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title_short |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title_full |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title_fullStr |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title_full_unstemmed |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| title_sort |
Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction |
| dc.creator.fl_str_mv |
Tami, Diego Navarro, Andres G. Rego, Cássio Guevara, Dinael S. Moreira, Fernando J. Giménez, Jordi G. Triana, Hernan |
| dc.contributor.author.none.fl_str_mv |
Tami, Diego Navarro, Andres G. Rego, Cássio Guevara, Dinael S. Moreira, Fernando J. Giménez, Jordi G. Triana, Hernan |
| description |
We discuss three sets of heuristic coefficients used in uniform theory of diffraction (UTD) to characterize the electromagnetic scattering in realistic urban scenarios and canonical examples of diffraction by lossy conducting wedges using the three sets of heuristic coefficients and the Malyuzhinets solution as reference model. We compare not only the results of the canonical models but also their implementation in real outdoor scenarios. To predict the coverage of mobile networks, we used propagation models for outdoor environments by using a 3D ray-tracing model based on a brute-force algorithm for ray launching and a propagation model based on image theory. To evaluate each set of coefficients, we analyzed the mean and standard deviation of the absolute error between estimates and measured data in Ottawa, Canada; Valencia, Spain; and Cali, Colombia. Finally, we discuss the path loss prediction for each set of heuristic UTD coefficients in outdoor environment, as well as the comparison with the canonical results. |
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2018 |
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2018-03-07 |
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2021-11-11T15:40:22Z |
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2021-11-11T15:40:22Z |
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Artículo de revista |
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http://repositorio.ufps.edu.co/handle/ufps/879 |
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https://doi.org/10.1155/2018/3029152 |
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http://repositorio.ufps.edu.co/handle/ufps/879 https://doi.org/10.1155/2018/3029152 |
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eng |
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eng |
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International Journal of Antennas and Propagation |
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(2018) |
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11 |
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1 |
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Tami, D., Rego, C. G., Guevara, D., Navarro, A., Moreira, F. J., Giménez, J., & Triana, H. G. (2018). Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction. International Journal of Antennas and Propagation, 2018. |
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International Journal of Antennas and Propagation |
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Atribución 4.0 Internacional (CC BY 4.0) |
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openAccess |
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Atribución 4.0 Internacional (CC BY 4.0) http://purl.org/coar/access_right/c_abf2 |
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12 páginas |
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application/pdf |
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International Journal of Antennas and Propagation |
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Reino Unido |
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Tami, Diego62c3e127b11feb4b68f5894e41bb406e600Navarro, Andresbe4cb8feaf490d0bee70babf0d0d9882600G. Rego, Cássio4c7357199e899dc582486e24ff077661Guevara, Dinaeld678ea69c63ad5ebdf8bff1ac12d75a6S. Moreira, Fernando J.8c8bc6ddd2cf960331c27bcd2da484fcGiménez, Jordi7f242a706ecf20ca607ee546a2e4a1daG. Triana, Hernan9755e6375b6ac11913c6cda2843e98992021-11-11T15:40:22Z2021-11-11T15:40:22Z2018-03-07http://repositorio.ufps.edu.co/handle/ufps/879https://doi.org/10.1155/2018/3029152We discuss three sets of heuristic coefficients used in uniform theory of diffraction (UTD) to characterize the electromagnetic scattering in realistic urban scenarios and canonical examples of diffraction by lossy conducting wedges using the three sets of heuristic coefficients and the Malyuzhinets solution as reference model. We compare not only the results of the canonical models but also their implementation in real outdoor scenarios. To predict the coverage of mobile networks, we used propagation models for outdoor environments by using a 3D ray-tracing model based on a brute-force algorithm for ray launching and a propagation model based on image theory. To evaluate each set of coefficients, we analyzed the mean and standard deviation of the absolute error between estimates and measured data in Ottawa, Canada; Valencia, Spain; and Cali, Colombia. Finally, we discuss the path loss prediction for each set of heuristic UTD coefficients in outdoor environment, as well as the comparison with the canonical results.12 páginasapplication/pdfengInternational Journal of Antennas and PropagationReino UnidoInternational Journal of Antennas and Propagation(2018)11(2018)1Tami, D., Rego, C. G., Guevara, D., Navarro, A., Moreira, F. J., Giménez, J., & Triana, H. G. (2018). Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering prediction. International Journal of Antennas and Propagation, 2018.International Journal of Antennas and Propagation© 2018 Diego Tami et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.info:eu-repo/semantics/openAccessAtribución 4.0 Internacional (CC BY 4.0)http://purl.org/coar/access_right/c_abf2https://www.hindawi.com/journals/ijap/2018/3029152/Analysis of heuristic uniform theory of diffraction coefficients for electromagnetic scattering predictionArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARTinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85T. Senior and J. Volakis, Approximate Boundary Conditions in Electromagnetics, IEEE, London, 1995.R. Luebbers, “A heuristic UTD slope diffraction coefficient for rough lossy wedges,” IEEE Transactions on Antennas and Propagation, vol. 37, no. 2, pp. 206–211, 1989.D. Schettino, F. Moreira, and C. Rego, “Heuristic UTD coefficients for electromagnetic scattering by lossy conducting wedges,” Microwave and Optical Technology Letters, vol. 52, no. 12, pp. 2657–2662, 2010.P. Holm, “A new heuristic UTD diffraction coefficient for nonperfectly conducting wedges,” IEEE Transactions on Antennas and Propagation, vol. 48, no. 8, pp. 1211–1219, 2000.M. Aïdi and J. Lavergnat, “Comparison of Luebbers’ and Maliuzhinets’ wedge diffraction coefficients in urban channel modelling,” Progress In Electromagnetics Research, vol. 33, pp. 1–28, 2001.H. El-Sallabi and P. Vainikainen, “Improvements to diffraction coefficient for non-perfectly conducting wedges,” IEEE Transactions on Antennas and Propagation, vol. 53, no. 9, pp. 3105–3109, 2005.D. Tami, C. Rego, D. Guevara, A. Navarro, and F. Moreira, “Heuristic UTD coefficients for radiowave coverage prediction in a urban scenario,” in 2015 SBMO/IEEE MTT-S International Microwave and Optoelectronics Conference (IMOC), Porto de Galinhas, Brazil, November 2015.D. Tami, C. Rego, F. Moreira, D. Guevara, and A. Navarro, “Heuristic UTD coefficients applied for the channel characterization in an Andean Scenario,” in 2015 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, Vancouver, BC, Canada, July 2015.D. Tami, C. Rego, D. Guevara et al., “Comparison of heuristic UTD coefficients in an outdoor scenario,” in 2015 9th European Conference on Antennas and Propagation (EuCAP), pp. 1780–1784, Lisbon, Portugal, April 2015.D. Schettino, F. Moreira, and C. Rego, “Efficient ray tracing for radio channel characterization of urban scenarios,” IEEE Transactions on Magnetics, vol. 43, no. 4, pp. 1305–1308, 2007.D. Malyuzhinets, “Excitation, reflection and emission of surface waves from a wedge with given face impedances,” Soviet Physics – Doklady, vol. 3, pp. 752–755, 1958.J. Whitteker, “Measurements of path loss at 910 MHz for proposed microcell urban mobile systems,” IEEE Transactions on Vehicular Technology, vol. 37, no. 3, pp. 125–129, 1988.S. Y. Tan and H. S. Tan, “Propagation model for microcellular communications applied to path loss measurements in Ottawa city streets,” IEEE Transactions on Vehicular Technology, vol. 44, no. 2, pp. 313–317, 1995.A. Navarro and D. Guevara, “Using game engines for wideband channel estimation parameters in Andean cities,” in 2010 Proceedings of the Fourth European Conference on Antennas and Propagation (EuCAP), Barcelona, Spain, April 2010.A. Navarro and D. Guevara, “Applicability of game engine for ray tracing techniques in a complex urban environment,” in 2010 IEEE 72nd Vehicular Technology Conference - Fall, Ottawa, ON, Canada, September 2010.A. Navarro, D. Guevara, N. Cardona, and J. Lopez, “Measurement-based ray-tracing models calibration in urban environments,” in Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation, Chicago, IL, USA, July 2012.K. A. Chamberlin and R. J. Luebbers, “An evaluation of longley-rice and GTD propagation models,” IEEE Transactions on Antennas and Propagation, vol. 30, no. 6, pp. 1093–1098, 1982.ORIGINALAnalysis of Heuristic Uniform Theory of Diffraction Coefficients for Electromagnetic Scattering Prediction.pdfAnalysis of Heuristic Uniform Theory of Diffraction Coefficients for Electromagnetic Scattering Prediction.pdfapplication/pdf10245879https://repositorio.ufps.edu.co/bitstream/ufps/879/1/Analysis%20of%20Heuristic%20Uniform%20Theory%20of%20Diffraction%20Coefficients%20for%20Electromagnetic%20Scattering%20Prediction.pdf11c0b4c8aa79498227a2f05ca785726fMD51open accessLICENSElicense.txtlicense.txttext/plain; charset=utf-814828https://repositorio.ufps.edu.co/bitstream/ufps/879/2/license.txt2f9959eaf5b71fae44bbf9ec84150c7aMD52open accessTEXTAnalysis of Heuristic Uniform Theory of Diffraction Coefficients for Electromagnetic Scattering Prediction.pdf.txtAnalysis of Heuristic Uniform Theory of Diffraction Coefficients for 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 incorporada en las Obras Colectivas.

b.	Distribuir copias o fonogramas de las Obras, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública, incluyéndolas como incorporadas en Obras Colectivas, según corresponda.

c.	Distribuir copias de las Obras Derivadas que se generen, exhibirlas públicamente, ejecutarlas públicamente y/o ponerlas a disposición pública.
Los derechos mencionados anteriormente pueden ser ejercidos en todos los medios y formatos, actualmente conocidos o que se inventen en el futuro. Los derechos antes mencionados incluyen el derecho a realizar dichas modificaciones en la medida que sean técnicamente necesarias para ejercer los derechos en otro medio o formatos, pero de otra manera usted no está autorizado para realizar obras derivadas. Todos los derechos no otorgados expresamente por el Licenciante quedan por este medio reservados, incluyendo pero sin limitarse a aquellos que se mencionan en las secciones 4(d) y 4(e).

4. Restricciones.
La licencia otorgada en la anterior Sección 3 está expresamente sujeta y limitada por las siguientes restricciones:

a.	Usted puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra sólo bajo las condiciones de esta Licencia, y Usted debe incluir una copia de esta licencia o del Identificador Universal de Recursos de la misma con cada copia de la Obra que distribuya, exhiba públicamente, ejecute públicamente o ponga a disposición pública. No es posible ofrecer o imponer ninguna condición sobre la Obra que altere o limite las condiciones de esta Licencia o el ejercicio de los derechos de los destinatarios otorgados en este documento. No es posible sublicenciar la Obra. Usted debe mantener intactos todos los avisos que hagan referencia a esta Licencia y a la cláusula de limitación de garantías. Usted no puede distribuir, exhibir públicamente, ejecutar públicamente, o poner a disposición pública la Obra con alguna medida tecnológica que controle el acceso o la utilización de ella de una forma que sea inconsistente con las condiciones de esta Licencia. Lo anterior se aplica a la Obra incorporada a una Obra Colectiva, pero esto no exige que la Obra Colectiva aparte de la obra misma quede sujeta a las condiciones de esta Licencia. Si Usted crea una Obra Colectiva, previo aviso de cualquier Licenciante debe, en la medida de lo posible, eliminar de la Obra Colectiva cualquier referencia a dicho Licenciante o al Autor Original, según lo solicitado por el Licenciante y conforme lo exige la cláusula 4(c).

b.	Usted no puede ejercer ninguno de los derechos que le han sido otorgados en la Sección 3 precedente de modo que estén principalmente destinados o directamente dirigidos a conseguir un provecho comercial o una compensación monetaria privada. El intercambio de la Obra por otras obras protegidas por derechos de autor, ya sea a través de un sistema para compartir archivos digitales (digital file-sharing) o de cualquier otra manera no será considerado como estar destinado principalmente o dirigido directamente a conseguir un provecho comercial o una compensación monetaria privada, siempre que no se realice un pago mediante una compensación monetaria en relación con el intercambio de obras protegidas por el derecho de autor.

c.	Si usted distribuye, exhibe públicamente, ejecuta públicamente o ejecuta públicamente en forma digital la Obra o cualquier Obra Derivada u Obra Colectiva, Usted debe mantener intacta toda la información de derecho de autor de la Obra y proporcionar, de forma razonable según el medio o manera que Usted esté utilizando: (i) el nombre del Autor Original si está provisto (o seudónimo, si fuere aplicable), y/o (ii) el nombre de la parte o las partes que el Autor Original y/o el Licenciante hubieren designado para la atribución (v.g., un instituto patrocinador, editorial, publicación) en la información de los derechos de autor del Licenciante, términos de servicios o de otras formas razonables; el título de la Obra si está provisto; en la medida de lo razonablemente factible y, si está provisto, el Identificador Uniforme de Recursos (Uniform Resource Identifier) que el Licenciante especifica para ser asociado con la Obra, salvo que tal URI no se refiera a la nota sobre los derechos de autor o a la información sobre el licenciamiento de la Obra; y en el caso de una Obra Derivada, atribuir el crédito identificando el uso de la Obra en la Obra Derivada (v.g., "Traducción Francesa de la Obra del Autor Original," o "Guión Cinematográfico basado en la Obra original del Autor Original"). Tal crédito puede ser implementado de cualquier forma razonable; en el caso, sin embargo, de Obras Derivadas u Obras Colectivas, tal crédito aparecerá, como mínimo, donde aparece el crédito de cualquier otro autor comparable y de una manera, al menos, tan destacada como el crédito de otro autor comparable.

d.	Para evitar toda confusión, el Licenciante aclara que, cuando la obra es una composición musical:

i.	Regalías por interpretación y ejecución bajo licencias generales. El Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública o la ejecución pública digital de la obra y de recolectar, sea individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, SAYCO), las regalías por la ejecución pública o por la ejecución pública digital de la obra (por ejemplo Webcast) licenciada bajo licencias generales, si la interpretación o ejecución de la obra está primordialmente orientada por o dirigida a la obtención de una ventaja comercial o una compensación monetaria privada.

ii.	Regalías por Fonogramas. El Licenciante se reserva el derecho exclusivo de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, los consagrados por la SAYCO), una agencia de derechos musicales o algún agente designado, las regalías por cualquier fonograma que Usted cree a partir de la obra (“versión cover”) y distribuya, en los términos del régimen de derechos de autor, si la creación o distribución de esa versión cover está primordialmente destinada o dirigida a obtener una ventaja comercial o una compensación monetaria privada.

e.	Gestión de Derechos de Autor sobre Interpretaciones y Ejecuciones Digitales (WebCasting). Para evitar toda confusión, el Licenciante aclara que, cuando la obra sea un fonograma, el Licenciante se reserva el derecho exclusivo de autorizar la ejecución pública digital de la obra (por ejemplo, webcast) y de recolectar, individualmente o a través de una sociedad de gestión colectiva de derechos de autor y derechos conexos (por ejemplo, ACINPRO), las regalías por la ejecución pública digital de la obra (por ejemplo, webcast), sujeta a las disposiciones aplicables del régimen de Derecho de Autor, si esta ejecución pública digital está primordialmente dirigida a obtener una ventaja comercial o una compensación monetaria privada.

5. Representaciones, Garantías y Limitaciones de Responsabilidad.
A MENOS QUE LAS PARTES LO ACORDARAN DE OTRA FORMA POR ESCRITO, EL LICENCIANTE OFRECE LA OBRA (EN EL ESTADO EN EL QUE SE ENCUENTRA) “TAL CUAL”, SIN BRINDAR GARANTÍAS DE CLASE ALGUNA RESPECTO DE LA OBRA, YA SEA EXPRESA, IMPLÍCITA, LEGAL O CUALQUIERA OTRA, INCLUYENDO, SIN LIMITARSE A ELLAS, GARANTÍAS DE TITULARIDAD, COMERCIABILIDAD, ADAPTABILIDAD O ADECUACIÓN A PROPÓSITO DETERMINADO, AUSENCIA DE INFRACCIÓN, DE AUSENCIA DE DEFECTOS LATENTES O DE OTRO TIPO, O LA PRESENCIA O AUSENCIA DE ERRORES, SEAN O NO DESCUBRIBLES (PUEDAN O NO SER ESTOS DESCUBIERTOS). ALGUNAS JURISDICCIONES NO PERMITEN LA EXCLUSIÓN DE GARANTÍAS IMPLÍCITAS, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

6. Limitación de responsabilidad.
A MENOS QUE LO EXIJA EXPRESAMENTE LA LEY APLICABLE, EL LICENCIANTE NO SERÁ RESPONSABLE ANTE USTED POR DAÑO ALGUNO, SEA POR RESPONSABILIDAD EXTRACONTRACTUAL, PRECONTRACTUAL O CONTRACTUAL, OBJETIVA O SUBJETIVA, SE TRATE DE DAÑOS MORALES O PATRIMONIALES, DIRECTOS O INDIRECTOS, PREVISTOS O IMPREVISTOS PRODUCIDOS POR EL USO DE ESTA LICENCIA O DE LA OBRA, AUN CUANDO EL LICENCIANTE HAYA SIDO ADVERTIDO DE LA POSIBILIDAD DE DICHOS DAÑOS. ALGUNAS LEYES NO PERMITEN LA EXCLUSIÓN DE CIERTA RESPONSABILIDAD, EN CUYO CASO ESTA EXCLUSIÓN PUEDE NO APLICARSE A USTED.

7. Término.

a.	Esta Licencia y los derechos otorgados en virtud de ella terminarán automáticamente si Usted infringe alguna condición establecida en ella. Sin embargo, los individuos o entidades que han recibido Obras Derivadas o Colectivas de Usted de conformidad con esta Licencia, no verán terminadas sus licencias, siempre que estos individuos o entidades sigan cumpliendo íntegramente las condiciones de estas licencias. Las Secciones 1, 2, 5, 6, 7, y 8 subsistirán a cualquier terminación de esta Licencia.

b.	Sujeta a las condiciones y términos anteriores, la licencia otorgada aquí es perpetua (durante el período de vigencia de los derechos de autor de la obra). No obstante lo anterior, el Licenciante se reserva el derecho a publicar y/o estrenar la Obra bajo condiciones de licencia diferentes o a dejar de distribuirla en los términos de esta Licencia en cualquier momento; en el entendido, sin embargo, que esa elección no servirá para revocar esta licencia o que deba ser otorgada , bajo los términos de esta licencia), y esta licencia continuará en pleno vigor y efecto a menos que sea terminada como se expresa atrás. La Licencia revocada continuará siendo plenamente vigente y efectiva si no se le da término en las condiciones indicadas anteriormente.

8. Varios.

a.	Cada vez que Usted distribuya o ponga a disposición pública la Obra o una Obra Colectiva, el Licenciante ofrecerá al destinatario una licencia en los mismos términos y condiciones que la licencia otorgada a Usted bajo esta Licencia.

b.	Si alguna disposición de esta Licencia resulta invalidada o no exigible, según la legislación vigente, esto no afectará ni la validez ni la aplicabilidad del resto de condiciones de esta Licencia y, sin acción adicional por parte de los sujetos de este acuerdo, aquélla se entenderá reformada lo mínimo necesario para hacer que dicha disposición sea válida y exigible.

c.	Ningún término o disposición de esta Licencia se estimará renunciada y ninguna violación de ella será consentida a menos que esa renuncia o consentimiento sea otorgado por escrito y firmado por la parte que renuncie o consienta.

d.	Esta Licencia refleja el acuerdo pleno entre las partes respecto a la Obra aquí licenciada. No hay arreglos, acuerdos o declaraciones respecto a la Obra que no estén especificados en este documento. El Licenciante no se verá limitado por ninguna disposición adicional que pueda surgir en alguna comunicación emanada de Usted. Esta Licencia no puede ser modificada sin el consentimiento mutuo por escrito del Licenciante y Usted.
0000-0002-1239-322262c3e127b11feb4b68f5894e41bb406e6000000-0002-4154-2119be4cb8feaf490d0bee70babf0d0d9882600 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