يعرض 1 - 10 نتائج من 73 نتيجة بحث عن '"Suarez, Fabian"', وقت الاستعلام: 1.41s تنقيح النتائج
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية
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    دورية أكاديمية

    وصف الملف: 17 páginas; application/pdf

    العلاقة: 17; 11; Lopez Mejia, O. D., Mejia, O. E., Escorcia, K. M., Suarez, F., Laín Behatove, S. (2021). Comparison of Sliding and Overset Mesh Techniques in the Simulation of a Vertical Axis Turbine for Hydrokinetic Applications. Processes. MDPI. Vol 9 (11), pp. 1-17. https://www.mdpi.com/2227-9717/9/11/1933Test; Processes; 1. Khana, M.J.; Bhuyana, G.; Iqbalb, M.T.; Quaicoe, J.E. Hydrokinetic energy conversion systems and assessment of horizontal and vertical axis turbines for river and tidal applications: A technology status review. Appl. Energy 2009, 86, 1823–1835. [CrossRef]; 2. Laws, N.D.; Epps, B.P. Hydrokinetic energy conversion: Technology, research, and outlook. Renew. Sustain. Energy Rev. 2016, 57, 1245–1259. [CrossRef]; 3. Ma, Y.; Hu, C.; Li, Y.; Deng, R. Research on the Hydrodynamic Performance of a Vertical Axis Current Turbine with Forced Oscillation. Energies 2018, 11, 3349. [CrossRef]; 4. Patel, V.; Eldho, T.I.; Prabhu, S.V. Performance enhancement of a Darrieus hydrokinetic turbine with the blocking of a specific flow region for optimum use of hydropower. Renew. Energy 2019, 135, 1144–1156. [CrossRef]; 5. Amet, E. Simulation Numerique d’une Hydrolienne à Axe Vertical de Type Darrieus. Ph.D. Thesis, Institut Polytechnique Grenoble, Grenoble, France, 2009.; 6. Hoerner, S.; Abbaszadeh, S.; Maître, T.; Cleynen, O.; Thévenin, D. Characteristics of the fluid–structure interaction within Darrieus water turbines with highly flexible blades. J. Fluids Struct. 2019, 88, 13–30. [CrossRef]; 7. Birjandi, A.; Bibeau, E. Frequency analysis of the power output for a vertical axis marine turbine operating in the wake. Ocean Eng. 2016, 127, 325–344. [CrossRef]; 8. Bachant, P.; Wosnik, M. Effects of Reynolds Number on the Energy Conversion and Near-Wake Dynamics of a High Solidity Vertical-Axis Cross-Flow Turbine. Energies 2016, 9, 73. [CrossRef]; 9. Rawlings, G. Parametric Characterization of An Experimental Vertical Axis Hydroturbine. Master’s Thesis, University of British Columbia, Vancouver, DC, Canada, 2008.; 11. Akbarn, M.; Mustafa, V. A new approach for optimization of Vertical AxisWind Turbines. J. Wind Eng. Ind. Aerodyn. 2016, 153, 34–45. [CrossRef]; 12. Ma, Y.; Lam, W.-H.; Cui, Y.; Zhang, T.; Jiang, J.; Sun, C.; Guo, J.; Wang, S.; Lam, S.S.; Hamill, G. Theoretical vertical-axis tidal-current-turbine wake model using axial momentum theory with CFD corrections. Appl. Ocean Res. 2018, 79, 113–122. [CrossRef]; 13. Goude, A.; Ågren, O. Simulations of a vertical axis turbine in a channel. Renew. Energy 2014, 63, 477–485. [CrossRef]; 14. Epps, B.; Roesler, B.; Medvitz, R.; Choo, Y.; McEntee, J. A viscous vortex lattice method for analysis of cross-flow propellers and turbines. Renew. Energy 2019, in press. [CrossRef]; 15. Chatelain, P.; Duponcheel, M.; Caprace, D.; Marichal, Y.; Winckelmans, G. Vortex particle-mesh simulations of vertical axis wind turbine flows: From the airfoil performance to the very far wake. Wind Energy Sci. 2017, 2, 317–328. [CrossRef]; 16. de Tavernier, D.; Ferreira, C. An extended actuator cylinder model: Actuator-in-actuator cylinder (AC-squared) model. Wind Energy 2019, 22, 1058–1070. [CrossRef]; 17. Mendoza, V. Aerodynamic Studies of Vertical Axis Wind Turbines using the Actuator Line Model. Ph.D. Thesis, Uppsala University, Upssala, Sweden, 2018.; 18. Madsen, H.; Paulsen, U.; Vitae, L. Analysis of VAWT aerodynamics and design using the Actuator Cylinder flow model. J. Phys. Conf. Ser. 2014, 555, 012065. [CrossRef]; 19. Balduzzi, F.; Bianchini, A.; Maleci, R.; Ferrara, G.; Ferrari, L. Critical issues in the CFD simulation of Darrieus wind turbines. Renew. Energy 2016, 85, 419–435. [CrossRef]; 20. Rezaeiha, A.; Kalkman, I.; Blocken, B. CFD simulation of a vertical axis wind turbine operating at a moderate tip speed ratio: Guidelines for minimum domain size and azimuthal increment. Renew. Energy 2017, 107, 373–385. [CrossRef]; 21. Maître, T.; Amet, E.; Pellone, C. Modeling of the flow in a Darrieus water turbine: Wall grid refinement analysis and comparison with experiments. Renew. Energy 2013, 51, 497–512. [CrossRef]; 22. McNaughton, J.; Afgan, I.; Apsley, D.D.; Rolfo, S.; Stallard, T.; Stansby, P.K. A simple sliding-mesh interface procedure and its application to the CFD simulation of a tidal-stream turbine. Int. J. Numer. Methods Fluids 2014, 74, 250–269. [CrossRef]; 23. Steger, L.J.; Dougherty, F.; Benek, J.A. A Chimera Grid Scheme. In Advances in Grid Generation; Ghia, K., Ghia, U., Eds.; American Society of Mechanical Engineers: Houston, TX, USA, 1983.; 24. Laín, S.; Taborda, M.A.; López, O.D. Numerical study of the effect of winglets on the performance of a straight blade Darrieus water turbine. Energies 2018, 11, 297. [CrossRef]; 25. López, O.D.; Quiñones, J.J.; Laín, S. RANS and Hybrid RANS-LES Simulations of an H-Type Darrieus Vertical AxisWater Turbine. Energies 2018, 11, 2348.; 26. Kozak, P. Effects of Unsteady Aerodynamics on Vertical-AxisWind Turbine Performance. Master’s Thesis, Illinois Institute of Technology, Chicago, IL, USA, 2014.; 27. McLean, D. Development of the Dual-Vertical-AxisWind Turbine with Active Blade Pitch Control. Master’s Thesis, Concordia University, Montreal, QC, Canada, 2017.; 28. Lei, H.; Su, J.; Bao, Y.; Chen, Y.; Han, Z.; Zhou, D. Investigation of wake characteristics for the offshore floating vertical axis wind turbines in pitch and surge motions of platforms. Energy 2019, 166, 471–489. [CrossRef]; 29. Kinsey, T.; Dumas, G. Impact of channel blockage on the performance of axial and cross-flow hydrokinetic turbines. Renew. Energy 2017, 103, 239–254. [CrossRef]; 30. Gorle, J.; Chatellier, L.; Pons, F.; Ba, M. Modulated circulation control around the blades of a vertical axis hydrokinetic turbine for flow control and improved performance. Renew. Sustain. Energy Rev. 2019, 105, 363–377. [CrossRef]; 31. Suarez, F. Parameter Study of a Ducted H-Darrieus Rotor in a Hydrokinetic Power Plant: Numerical Simulation. Master’s Thesis, TU Darmstadt, Darmstadt, Germany, 2015.; 32. Miller, M.A.; Duvvuri, S.; Kelly,W.D.; Hultmark, M. Rotor solidity effects on the performance of vertical-axis wind turbines at high Reynolds numbers. J. Phys. Conf. Ser. 2018, 1037, 052015. [CrossRef]; 33. López, O.; Meneses, D.; Quintero, B.; Laín, S. Computational study of transient flow around Darrieus type cross flow water turbines. J. Renew. Sustain. Energy 2016, 8, 014501. [CrossRef]; 34. Laín, S.; Cortés, P.; López, O.D. Numerical Simulation of the Flow around a Straight Blade Darrieus Water Turbine. Energies 2020, 13, 1137. [CrossRef]; https://hdl.handle.net/10614/13865Test; Universidad Autónoma de Occidente; Repositorio Educativo Digital; https://red.uao.edu.coTest/

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    دورية أكاديمية

    المساهمون: Spanish Agencia Estatal de Investigación, ERDF, Xunta de Galicia, Centro singular de investigación de Galicia accreditation, Ministerio de Ciencia, Innovación y Universidades, Ministry of Economy and Competitiveness, European Social Fund

    المصدر: International Journal of Pharmaceutics ; volume 588, page 119689 ; ISSN 0378-5173

    مصطلحات موضوعية: Pharmaceutical Science

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    كتاب
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    رسالة جامعية

    المساهمون: Gómez Portilla, Karoll Yucelly

    وصف الملف: 48 páginas sin enumerar; application/pdf

    العلاقة: Acheampong, A. O. (2018). Economic growth, CO2 emissions and energy consumption: what causes what and where? Energy Economics, 74, 677-692.; Ackerman, F. & Stanton E. A. (2012) Climate risks and carbon prices: Revising the social cost of carbon. Economics: The Open-Access, Open-Assessment E-Journal 6 1-25; Aghion, P., & Howitt, P. (2007). Capital, innovation, and growth accounting. Oxford Review of Economic Policy, 23(1), 79-93.; Alam, Atif, M., Chien-Chi, C., & Soytaş, U. (2019). Does corporate R&D investment affect firm environmental performance? Evidence from G-6 countries. Energy Economics, 78, 401–411. https://doi.org/10.1016/j.eneco.2018.11.031Test; Alcott, B. (2005). Jevons' paradox. Ecological economics, 54(1), 9-21.ç; Anzoategui, D., Comin, D., Gertler, M., & Martinez, J. (2019). Endogenous technology adoption and R&D as sources of business cycle persistence. American Economic Journal: Macroeconomics, 11(3), 67-110.; Asmussen, K. E., Mondal, A., & Bhat, C. R. (2022). Adoption of partially automated vehicle technology features and impacts on vehicle miles of travel (VMT). Transportation Research Part A: Policy and Practice, 158, 156-179.; Awaworyi Churchill, Inekwe, J., Smyth, R., & Zhang, X. (2019). R&D intensity and carbon emissions in the G7: 1870–2014. Energy Economics, 80, 30–37. https://doi.org/10.1016/j.eneco.2018.12.020Test; Berg, K. A., Curtis, C. C., & Mark, N. C. (2021). GDP and Temperature: Evidence on Cross-Country Response Heterogeneity.; Bogmans, C., Kiyasseh, L., Matsumoto, A., & Pescatori, A. (2020). Energy, efficiency gains and economic development: when will global energy demand saturate?. Available at SSRN 3758087.; Bosetti, V. & Tavoni, M. (2009). Uncertain R&D, backstop technology and GHGs stabilization. Energy Economics, 31, S18-S26.; Bosetti, V., Carraro, C., Duval, R. & Tavoni, M. (2011). What should we expect from innovation? A model based assessment of the environmental and mitigation cost implications of climate-related R&D. Energy Economics, 33, 1313--1320.; Bosetti, V., Carraro, C., Masseti, E. & Tavoni, M. (2008). International energy R&D spillovers and the economics of greenhouse gas atmospheric stabilization. Energy Economics, 30, 2912-2929.; Bosetti, V., Carraro, C., Masseti, E., Sgobbi, A. & Tavoni, M. (2009). Optimal energy investment and R&D strategies to stabilize atmospheric greenhouse gas concentrations. Resource and Energy Economics, 31, 123-137.; Choi, I. (2001). Unit root tests for panel data. Journal of international money and Finance, 20(2), 249-272.; DCENR, (2014). National energy efficiency action plan 2014, Department of communications, Energy and Natural Resources, Government of Ireland.; Fich, L. E., Viola, S., & Bentsen, N. S. (2022). Jevons Paradox: Sustainable Development Goals and Energy Rebound in Complex Economic Systems. Energies, 15(16), 5821.; Freimane, R. & Bāliņa, S. (2016). Research and development expenditures and economic growth in the EU: A panel data analysis. Economics and Business, 29(1), 5-117; Freire-González, J. (2021). Governing Jevons’ Paradox: Policies and systemic alternatives to avoid the rebound effect. Energy Research & Social Science, 72, 101893.; Gengenbach, C., Urbain, J. -P., and Westerlund, J. (2016) Error Correction Testing in Panels with Common Stochastic Trends. J. Appl. Econ., 31: 982– 1004. doi:10.1002/jae.2475.; Hadri, K. (2000). Testing for stationarity in heterogeneous panel data. The Econometrics Journal, 3(2), 148-161.; Herzer, D. (2022). The impact of domestic and foreign R&D on TFP in developing countries. World Development, 151, 105754.; Im, K. S., Pesaran, M. H., & Shin, Y. (2003). Testing for unit roots in heterogeneous panels. Journal of econometrics, 115(1), 53-74.; IRENA (2017), Accelerating the Energy Transition through Innovation, a working paper based on global REmap analysis, IRENA, Abu Dhabi. www.irena.org/remap; IRENA (2018), Global Energy Transformation: A roadmap to 2050, International Renewable Energy Agency, Abu Dhabi.; Jalles, J. T. (2019). Crises and emissions: New empirical evidence from a large sample. Energy Policy, 129, 880-895.; Jordà, Ò. (2005). Estimation and inference of impulse responses by local projections. American economic review, 95(1), 161-182.; Jordà, Ò., Singh, S. R., & Taylor, A. M. (2020). The long-run effects of monetary policy (No. w26666). National Bureau of Economic Research.; Kao, C. (1999). Spurious regression and residual-based tests for cointegration in panel data. Journal of econometrics, 90(1), 1-44.; Kaplan JO (2015) Climate or humans? Analyses of ice-core carbon isotopes show that variations in atmospheric CO2 levels during the past millennium are controlled by changes in land reservoirs. But whether climate variations or human activity were mainly responsible is uncertain. Nat Geosci 8:335–336; Kaya, Y., & Yokobori, K. (Eds.). (1997). Environment, energy, and economy: strategies for sustainability (pp. 16-26). Tokyo: United Nations University Press.; Levin, A., Lin, C. F., & Chu, C. S. J. (2002). Unit root tests in panel data: asymptotic and finite-sample properties. Journal of econometrics, 108(1), 1-24.; Lovins, L. H., & Cohen, B. (2011). Climate capitalism: Capitalism in the age of climate change. Hill and Wang.; Lovins, A. (2017). Energy efficiency. Energy Economics, 234.; Jevons, W.S. (1865) The Coal Question; An Enquiry Concerning the Progress of the Nation, and the Probable Exhaustion of Our Coal-Mines; McMillan and Co.: London, UK; Cambridge, UK.; MacArthur, E. (2013). Towards the circular economy. Journal of Industrial Ecology, 2(1), 23-44.; Magazzino, C. (2016). The relationship between real GDP, CO2 emissions, and energy use in the GCC countries: A time series approach. Cogent Economics & Finance, 4(1), 1152729.; Mankiw, N. G., Romer, D., & Weil, D. N. (1992). A contribution to the empirics of economic growth. The quarterly journal of economics, 107(2), 407-437; Mensah, C. N., Long, X., Boamah, K. B., Bediako, I. A., Dauda, L., & Salman, M. (2018). The effect of innovation on CO2 emissions of OCED countries from 1990 to 2014. Environmental Science and Pollution Research, 25(29), 29678-29698.; Metcalf, G. E., & Stock, J. H. (2020, May). Measuring the macroeconomic impact of carbon taxes. In AEA papers and Proceedings (Vol. 110, pp. 101-06).; Minniti, A. & Venturini, F. (2017). The long-run growth effects of R&D policy. Research Policy, 46(1), 316-326; Mora C, Spirandelli D, Franklin EC, Lynham J, Kantar MB, Miles W, et al. (2018). Broad threat to humanity from cumulative climate hazards intensified by greenhouse gas emissions. Nature Climate Change; 8: 1062 -1071.; Nordhaus, W.D. (2002). Modelling induced innovation in climate change policy. In A. Grubler, N. Nakicenovic & W.D. Nordhaus (Eds.) Technological Change and the Environment (Washington DC: REsources for the Future).; Pablo-Romero, M. D. P., & De Jesús, J. (2016). Economic growth and energy consumption: The energy-environmental Kuznets curve for Latin America and the Caribbean. Renewable and Sustainable Energy Reviews, 60, 1343-1350.; Pedroni, P. (2004). Panel cointegration: asymptotic and finite sample properties of pooled time series tests with an application to the PPP hypothesis. Econometric theory, 20(3), 597-625.; Pindyck, R. (2017). The use and misuse of models for climate policy. Review of Environmental Economics and Policy, 11(1), 100-114.; Plagborg‐Møller, M., & Wolf, C. K. (2021). Local projections and VARs estimate the same impulse responses. Econometrica, 89(2), 955-980.; Polimeni, J. M. (2012). Empirical evidence for the Jevons Paradox. In The Jevons paradox and the myth of resource efficiency improvements (pp. 154-184). Routledge.; Rogelj J, Den Elzen M, Höhne N, Fransen T, Fekete H, Winkler H (2016) Paris Agreement climate proposals need a boost to keep warming well below 2 C. Nature; 534: 631 -639.; Romer, P. M. (1994). The origins of endogenous growth. Journal of Economic perspectives, 8(1), 3-22.; Rongron, L. & Rui L. (2020). Investigating effect of R&D investment on decoupling environmental pressure from economic growth in the global top six carbon dioxide emitters. Science of The Total Environment. Volume 740; Saunders, H. D. (2000). A view from the macro side: rebound, backfire, and Khazzoom–Brookes. Energy policy, 28(6-7), 439-449.; Sala-i-Martin, X. (2002). Determinants of Growth-A Cross-Country Empirical Study.; Siami, N., & Winter, R. A. (2021). Jevons’ paradox revisited: Implications for climate change. Economics Letters, 206, 109955.; Smith, R., & World Economics Association. (2016). Green capitalism: the god that failed. London: College Publications.; Solow, R. M. (1956). A contribution to the theory of economic growth. The quarterly journal of economics, 70(1), 65-94.; Sorrell, S. (2009). Jevons’ Paradox revisited: The evidence for backfire from improved energy efficiency. Energy policy, 37(4), 1456-1469.; Stern, D. I. (2018). The environmental Kuznets curve. In Companion to Environmental Studies (pp. 49-54). Routledge.; Sudarmaji, E., Achsani, N. A., Arkeman, Y., & Fahmi, I. (2022, June). Does rebound effect influence the factors of carbon emission in Indonesia? Kaya index and LMDI decomposition. In IOP Conference Series: Earth and Environmental Science (Vol. 1041, No. 1, p. 012086). IOP Publishing.; Vitenu-Sackey, & Acheampong, T. (2022). Impact of economic policy uncertainty, energy intensity, technological innovation and R&D on CO2 emissions: evidence from a panel of 18 developed economies. Environmental Science and Pollution Research International, 29(58), 87426–87445. https://doi.org/10.1007/s11356-022-21729-2Test; Vivanco, D. F., Kemp, R., & van der Voet, E. (2016). How to deal with the rebound effect? A policy-oriented approach. Energy Policy, 94, 114-125.; Westerlund, J. (2005). New simple tests for panel cointegration. Econometric Reviews, 24(3), 297-316. Zachariadis, M. (2004). R&D‐induced Growth in the OECD?. Review of Development Economics, 8(3), 423-439.; https://repositorio.unal.edu.co/handle/unal/83981Test; Universidad Nacional de Colombia; Repositorio Institucional Universidad Nacional de Colombia; https://repositorio.unal.edu.coTest/

  8. 8
    رسالة جامعية

    المساهمون: Castañeda Salazar, Lisandro, https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000630292Test, Universidad Santo Tomás

    جغرافية الموضوع: CRAI-USTA Bogotá

    وصف الملف: application/pdf

    العلاقة: ANDES, C. C. (06 de 2000). Plan de ordenamiento territorial. Obtenido de https://repositoriocdim.esap.edu.co/bitstream/handle/123456789/10557/4864-12.pdf?sequence=12&isAllowed=yTest; Arquitasa, S. d. (02 de 2016). Gentrificación: proceso, cusas y efectos. Obtenido de https://arquitasa.com/la-gentrificacion-o-conquistar-barrios-sin-derramar-sangreTest/; Barranquilla, A. d. (16 de 11 de 2018). Concepto de edificabilidad. Obtenido de página web Alcaldía de Barranquilla: https://www.barranquilla.gov.co/planeacion/planeacion-territorial/concepto-de-edificabilidadTest; Bogotá, A. M. (2016). Localidad De Barrios Unidos. Bogotá D.C.; Carmona, M. d. (13 de 06 de 2017). Proceso de Gentrificación en España. El caso de tres Distritos de Madrid. Obtenido de https://oa.upm.es/47410/1/tfg_rosal_carmona_maria.pdfTest; CCB, c. d. (2007). Perfil Económico y Empresarial de la localidad de barrios unidos. Bogotá D.C.; Centro de investigación y Promoción del Campesinado. (2020). Introducción a L a Gestión Territorial. Obtenido de https://www.bivica.org/files/gestion-territorial-introduccion.pdfTest; Centro Latinoamericano Para El Desarrollo Rural. (2019). Balance De Las Políticas de Desarrollo Territorial En Colombia 2010-2018.; CEPAL. (2019). Ley Orgánica de Ordenamiento Territorial de Colombia. Obtenido de https://observatorioplanificacion.cepal.org/es/marcos-regulatorios/ley-organica-de-ordenamiento-territorial-de-colombiaTest; Chaustre, O. C. (02 de 02 de 2022). Transformación Urbana Mediante Mecanismos de Participación. Obtenido de http://repository.unipiloto.edu.co/bitstream/handle/20.500.12277/11349/Trabago%20de%20grado.pdf?sequence=1Test; Congreso de La Republica. (2013). Ley 1673 de 2013. Bogotá.; Contraloría General de la Republica. (1938). Censo General de Población. Bogotá: Imprenta Nacional.; DANE. (2018). ArcGIS Online - Secretaría Distrital de Planeación. Obtenido de https://sdpbogota.maps.arcgis.com/apps/MapSeries/index.html?appid=2ac7960e89eb44709bc2dcae1eb96fb9Test; Departamento Administrativo de Planeación de Medellín. (2015). Plan Especial De manejo y Protección(PEMP). Medellín.; Divar, C. (03 de 08 de 2019). El Proceso de Gentrificación, Intervención urbana arquitectónica en la ciudad de Sallinas (Ecuador). Obtenido de http://portal.amelica.org/ameli/jatsRepo/383/3831589019/index.htmlTest; Enciclopedia Concepto. (2022). ¿Qué es el territorio? Obtenido de https://concepto.de/territorioTest/ Gómez Forero, M., & Gonzales Bonilla, M. (2017). Articulación de los instrumentos de planificación territorial. Bogotá D.C. Obtenido de https://repository.usta.edu.coTest; IGAC (Instituto Geográfico Augustin Codazzi). (2008). resolución 620 de 2008. Bogotá. Obtenido de chrome-extension://efaidnbmnnnibpcajpcglclefindmkaj/http://www.autovia.com.co/resources/lawdocs_21.pdfTest; IGAC (Instituto Geográfico Augustin Codazzi). (1998). Decreto 1420 de 1998. Bogotá.; Instituto Cartográfico Y Geológico de Cataluña. (s.f.). Diferencias entre Fotografía Aérea Y Ortofoto. Cataluña. Obtenido de https://www.icgc.cat/es/Web/Ayuda/Preguntas-frecuentes/Diferencias-entre-fotografia-aerea-y-ortofotoTest; Lozano Ibarra, J. (2007). Reflexiones Sobre el Ordenamiento territorial En Colombia. Barranquilla.; Marín García, A. (2022). Gentrificación. Obtenido de https://economipedia.com/definiciones/gentrificacion.htmlTest Ministerio De Vivienda Ciudad Y Territorio. (2016). Índice de Ocupación y construcción. Bogotá.; MVC, b. (13 de 04 de 2021). Tipos de usos del suelo. Obtenido de https://metrovacesa.com/blog/tipos-de-usos-del-sueloTest; Ojeda-Bustamante, W., González-Sánchez, A., Mauricio-Pérez, A., & Flores-Velázquez, J. (2017). Aplicaciones de los vehículos aéreos no tripulados en la ingeniería hidroagrícola. Ciudad De México. Obtenido de https://doi.org/10.24850/j-tyca-2017-04-10Test; Pavony, L. C. (2019). Atlas Histórico de barrios de Bogotá. Bogotá: Buenos & Creativos S.A.S.; Ponce Talancon, H. (2007). La matriz FODA: alternativa de diagnóstico y determinación de estrategias de intervención en diversas organizaciones. Madrid.; Posada, A. (2014). De La Planeación A La Gestión Ambiental Colectiva Posibilidades en Bogotá Colombia. Bogotá D.C.; Quintero Torres, D. I. (2016). El papel de la gestión territorial en la ubicación de rellenos sanitarios. Caso de estudio: relleno sanitario Doña Juana, Bogotá, Colombia1. Bogotá. Obtenido de https://doi.org/10.19053/01233769.5852Test; Sandoval Alvarado, S. (2018). Análisis de la Gestión Territorial en la modernización del sistema férreo para la Sabana de Bogotá (Estudio de Caso: Bogotá - Mosquera). Bogotá D.C. Obtenido de http://hdl.handle.net/11634/15242Test; Schmidberger, K. (05 de 2019). Frenar la subida de los alquileres y la gentrificación en una ciudad global: el caso de Berlín. Obtenido de https://www.cidob.org/es/articulos/monografias/futuros_urbanos_modelos_alternativos_para_las_ciudades_globales/frenar_la_subida_de_los_alquileres_y_la_gentrificacion_en_unaTest; SDP (Secretaria Distrital De Planeación Distrital). (2022). Vías, transporte y Servicios Públicos. Bogotá.; SDP (Secretaria Distrital De Planeación. (2022). Predio. Bogotá.; Secretaria de Gobierno de Bogotá. (2012). Balance de la Gestión Sectorial.; Servicio Alemán de Cooperación Social Técnica DED Bolivia; Centro de Investigación y Promoción del Campesinado (CIPCA). (2011). Introducción A la Gestión Territorial. La Paz, Bolivia.; Trujillo Corredor, R. H. (2013). Dinámica de la Construcción por usos. Localidad barrios Unidos.; UAECD (Unidad administrativa distrital de catastro Distrital. (2022). Definición Antejardín, y Aislamiento Posterior, y Cesión. Bogotá.; Sampieri, R. H. (2014). Metodologia De La Investigación. Mexico D.F: Mc Graw Hil. SDP (Secretaria Distrital De Planeación. (2021). POT 555 de 2021. Bogotá; Puerto Mahecha, D. O., Rodríguez Suárez, F. H. y Sánchez González, Y. A. (2023). Análisis de la potencialidad y gentrificación del uso del suelo en el marco de la gestión territorial del sector catastral José Joaquín Vargas Bogotá [Trabajo de Especialización, Universidad Santo Tomás]. Repositorio Institucional.; http://hdl.handle.net/11634/50875Test; reponame:Repositorio Institucional Universidad Santo Tomás; instname:Universidad Santo Tomás; repourl:https://repository.usta.edu.coTest

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    مؤتمر

    العلاقة: Lecture Notes in Computer Science; Lehrstuhl für AI Systems Engineering (KI-Systementwicklung); #PLACEHOLDER_PARENT_METADATA_VALUE#; 13467; https://fis.uni-bamberg.de/handle/uniba/55968Test

  10. 10
    كتاب

    المصدر: Lecture Notes in Computer Science ; Intelligent Computer Mathematics ; page 107-121 ; ISSN 0302-9743 1611-3349 ; ISBN 9783031166808 9783031166815