Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta
Para la agroindustria, las enfermedades en cultivos constituyen uno de los problemas más frecuentes que generan grandes pérdidas económicas y baja calidad en la producción. Por otro lado, desde las ciencias de la computación, han surgido diferentes herramientas cuya finalidad es mejorar la prevenció...
- Autores:
-
Lasso Sambony, Emmanuel
Corrales, Juan Carlos
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2016
- Institución:
- Universidad de Medellín
- Repositorio:
- Repositorio UDEM
- Idioma:
- spa
- OAI Identifier:
- oai:repository.udem.edu.co:11407/3540
- Acceso en línea:
- http://hdl.handle.net/11407/3540
- Palabra clave:
- Expert system
Graph
Pattern matching
Data mining
Crop
Disease
Agriculture
Sistema experto
Grafo
Emparejamiento de patrón
Minería de datos
Cultivos
enfermedad
Agricultura
- Rights
- License
- http://creativecommons.org/licenses/by-nc-sa/4.0/
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Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta Expert System for Crop Disease based on Graph Pattern Matching: A proposal |
| title |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| spellingShingle |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta Expert system Graph Pattern matching Data mining Crop Disease Agriculture Sistema experto Grafo Emparejamiento de patrón Minería de datos Cultivos enfermedad Agricultura |
| title_short |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| title_full |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| title_fullStr |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| title_full_unstemmed |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| title_sort |
Sistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuesta |
| dc.creator.fl_str_mv |
Lasso Sambony, Emmanuel Corrales, Juan Carlos |
| dc.contributor.author.none.fl_str_mv |
Lasso Sambony, Emmanuel Corrales, Juan Carlos |
| dc.subject.spa.fl_str_mv |
Expert system Graph Pattern matching Data mining Crop Disease Agriculture Sistema experto Grafo Emparejamiento de patrón Minería de datos Cultivos enfermedad Agricultura |
| topic |
Expert system Graph Pattern matching Data mining Crop Disease Agriculture Sistema experto Grafo Emparejamiento de patrón Minería de datos Cultivos enfermedad Agricultura |
| description |
Para la agroindustria, las enfermedades en cultivos constituyen uno de los problemas más frecuentes que generan grandes pérdidas económicas y baja calidad en la producción. Por otro lado, desde las ciencias de la computación, han surgido diferentes herramientas cuya finalidad es mejorar la prevención y el tratamiento de estas enfermedades. En este sentido, investigaciones recientes proponen el desarrollo de sistemas expertos para resolver este problema haciendo uso de técnicas de minería de datos e inteligencia artificial, como inferencia basada en reglas, árboles de decisión, redes bayesianas, entre otras. Además, los grafos pueden ser usados para el almacenamiento de los diferentes tipos de variables que se encuentran presentes en un ambiente de cultivos, permitiendo la aplicación de técnicas de minería de datos en grafos, como el emparejamiento de patrones en los mismos. En este artículo presentamos una visión general de las temáticas mencionadas y una propuesta de un sistema experto para enfermedades en cultivos, basado en emparejamiento de patrones en grafos. |
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Article |
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Ministerio de Tecnologías de la Información y las Comunicaciones, MinTIC, “Plan nacional de ciencia, tecnología e innovación para el desarrollo de los sectores electrónica, tecnologías de la información y las comunicaciones (etic) en Colombia”, Resumen ejecutivo, 2013. E. Turban & L. E. Frenzel, Expert systems and applied artificial intelligence, United States: Prentice Hall Professional Technical Reference, 1992. M. Rowe, “Applying semantic social graphs to disambiguate identity references”, in The Semantic Web: Research and Applications, Berlin: Springer, 2009, pp. 461-475. C. C. Aggarwal & H. Wang, “An Introduction to Graph Data”, in Managing and Mining Graph Data, Berlin: Springer, 2010, pp. 1-11. D. J. Cook & L. B. Holder, Mining graph data. Hoboken, NJ, USA: John Wiley & Sons, 2006. X. Wang, “Graph pattern matching on social network analysis”, PhD thesis, University of Edinburgh, Edinburgh, Scotland, 2013. Available: http://hdl.handle.net/1842/8277 S. Dewanto & J. Lukas, “Expert System For Diagnosis Pest And Disease In Fruit Plants”, EPJ Web of Conferences, vol. 68, no. 24, pp. 1-4, 2014. J. R. Quinlan, “Generating Production Rules from Decision Trees”, in ijcai’87 Proceedings of the 10th international joint conference on Artificial intelligence, Milan, Italy, Aug. 23-29, 1987, pp. 304-307. R. A. Hanneman & M. Riddle, Introduction to social network methods. Riverside, California: University of California, 2005. Available: http://faculty.ucr.edu/~hanneman/nettext/ G. Erétéo et al., “Semantic Social Network Analysis: A Concrete Case”, Handbook of research on methods and techniques for studying virtual communities: paradigms and phenomena, vol. 1, pp. 122-156, 2011. E. G. Lasso-Sambony, S. M. Ortega-Ponce, & J. C. Corrales, “Semantic enrichment and inference of relationships in an online social network”, Ing. Univ., vol. 17, no. 2, pp. 355-373, 2013. G. Mansingh, H. Reichgelt, & K. M. O. Bryson, “CPEST: An expert system for the management of pests and diseases in the Jamaican coffee industry”, Expert Syst. Appl., vol. 32, No. 1, pp. 184-192, 2007. W. A. Derwin Suhartono, M. Lestari, & M. Yasin, “Expert System in Detecting Coffee Plant Diseases”, Int. J. Electr. Energy, vol. 1, No. 3, pp. 156-162, 2013. V. Rossi, P. Meriggi, T. Caffi, S. Giosué, & T. Bettati, “A Web-based Decision Support System for Managing Durum Wheat Crops”, in Decision Support Systems, Advances in, G. Devlin, Ed., Vukovar, Croatia: Intech, 2010. Available: http://www.intechopen.com/books/decisionsupport-systems-advances-in/a-web-based-decision-support-system-for-managing-durumwheat-crops R. F. Chevalier, G. Hoogenboom, R. W. McClendon, & J. O. Paz, “A web-based fuzzy expert system for frost warnings in horticultural crops,” Environ. Model. Softw., vol. 35, pp. 84-91, 2012. R. Jain et al., “Machine learning for forewarning crop diseases”, J Ind Soc Agril Stat., vol. 63, no. 1, pp. 97-107, 2009. M. E. Cintra, C. A. A. Meira, M. C. Monard, H. A. Camargo & L. H. A. Rodrigues, “The use of fuzzy decision trees for coffee rust warning in Brazilian crops”, in 11th International Conference on Intelligent Systems Design and Applications (isda) Cordoba, Spain, Nov, 22-24, 2011, pp. 1347–1352. M. Omid, “Design of an expert system for sorting pistachio nuts through decision tree and fuzzy logic classifier”, Expert Syst. Appl., vol. 38, no. 4, pp. 4339-4347, 2011. J. Molineros, E. De Wolf, L. Francl, L. Madden, & P. Lipps, “Modeling epidemics of fusarium head blight: trials and tribulations”, Phytopathology, vol. 95, no. 6, 2005. K. Ogaard, H. Roy, S. Kase, R. Nagi, K. Sambhoos, & M. Sudit, “Discovering patterns in social networks with graph matching algorithms”, in Social Computing, Behavioral-Cultural Modeling and Prediction, Berlin: Springer, 2013, pp. 341-349. K. P. Sambhoos, “Graph matching applications in high level information fusion”. Dissertation, State University of New York at Buffalo, ProQuest Dissertations Publishing, 2007. Y. Bai, C. Wang, Y. Ning, H. Wu, & H. Wang, “G-path: flexible path pattern query on large graphs”, in Proceedings of the 22nd international conference on World Wide Web companion, Rio de Janeiro, Brazil, May 13-17, 2013, pp. 333–336. G. Kollias, M. Sathe, O. Schenk, & A. Grama, “Fast parallel algorithms for graph similarity and matching”, J. Parallel Distrib. Comput., vol. 74, no. 5, pp. 2400-2410, 2014. G. Kollias, S. Mohammadi, & A. Grama, “Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment”, IEEE Trans. Knowl. Data Eng., vol. 24, no. 12, pp. 2232-2243, Dec. 2012. L. P. Cordella, P. Foggia, C. Sansone, & M. Vento, “A (sub) graph isomorphism algorithm for matching large graphs”, Pattern Anal. Mach. Intell. IEEE Trans. On, vol. 26, no. 10, pp. 1367-1372, 2004. L. P. Cordella, P. Foggia, C. Sansone, & M. Vento, “Performance evaluation of the VF graph matching algorithm”, in Proceedings 1999 10th International Conference on Image Analysis and Processing, Venice, Italy, Sep. 27-29, 1999, pp. 1172-1177. J. R. Ullmann, “An algorithm for subgraph isomorphism”, J. ACM JACM, vol. 23, no. 1, pp. 31-42, 1976. V. S. Pawar & M. A. Zaveri, “Graph based pattern matching”, in 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shangai, China, Jul. 26-28, 2011, vol. 2, pp. 1022-1026. W. E. Moustafa, A. Kimmig, A. Deshpande, & L. Getoor, “Subgraph pattern matching over uncertain graphs with identity linkage uncertainty”, in 2014 ieee 30th International Conference on Data Engineering (icde), Chicago, USA, Mar. 31 - Apr. 4, 2014, pp. 904-915. H. Yamasaki, T. Yamada & T. Shoudai, “Graph Pattern Matching with Expressive Outerplanar Graph Patterns”, in Intelligent Control and Computer Engineering, Berlin: Springer, 2011, pp. 231-243. J. Mendivelso & Y. Pinzon, “A new approach to isomorphism in attributed graphs”, in 9th Computing Colombian Conference (9ccc), Pereira, Colombia, Sept. 3-5, 2014, pp. 231-239. J. F. Baget & M. L. Mugnier, “Extensions of simple conceptual graphs: the complexity of rules and constraints”, J. Artif. Intell. Res., vol. 16, pp. 425-465, 2002. K. Higa & H. G. Lee, “A graph-based approach for rule integrity and maintainability in expert system maintenance”, Inf. Manage., vol. 33, no. 6, pp. 273-285, 1998. B. Kamsu-Foguem & D. Noyes, “Graph-based reasoning in collaborative knowledge management for industrial maintenance”, Comput. Ind., vol. 64, no. 8, pp. 998-1013, 2013. M. Chein, “Graph-Based Knowledge Representation and Reasoning”, in iceis’10: 12th International Conference on Enterprise Information Systems, Funchal, Madeira - Portugal, Jun. 8-12, 2010. P. Buche, V. Cucheval, A. Diattara, J. Fortin, & A. Gutiérrez, “Implementation of a knowledge representation and reasoning tool using default rules for a decision support system in agronomy applications”, in Graph Structures for Knowledge Representation and Reasoning, Berlin: Springer, 2014, pp. 1-12. T. Liu, C. Tian, F. Li, & H. Zhang, “Rule graph: Incorporate expert and statistical knowledge for rule execution”, in ieee/informs International Conference on Service Operations, Logistics and Informatics, soli’09, Chicago, USA, Jul. 22-24, 2009, pp. 573-578. S. Peter, F. Hoppner & M. R. Berthold, “Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval”, in 6th ieee International Conference Intelligent Systems (IS), SOFIA, BULGARIA, SEP. 6-8, 2012, pp. 67-73. W. Fan, J. Li, S. Ma, N. Tang, Y. Wu, & Y. Wu, “Graph pattern matching: from intractable to polynomial time”, Proc. VLDB Endow., vol. 3, no. 1–2, pp. 264-275, 2010. |
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Lasso Sambony, EmmanuelCorrales, Juan CarlosLasso Sambony, Emmanuel; Universidad del CaucaCorrales, Juan Carlos; Universidad del Cauca2017-06-29T22:22:35Z2017-06-29T22:22:35Z2016-12-311692-3324http://hdl.handle.net/11407/3540 http://dx.doi.org/10.22395/rium.v15n29a52248-4094reponame:Repositorio Institucional Universidad de Medellínrepourl:https://repository.udem.edu.co/instname:Universidad de MedellínPara la agroindustria, las enfermedades en cultivos constituyen uno de los problemas más frecuentes que generan grandes pérdidas económicas y baja calidad en la producción. Por otro lado, desde las ciencias de la computación, han surgido diferentes herramientas cuya finalidad es mejorar la prevención y el tratamiento de estas enfermedades. En este sentido, investigaciones recientes proponen el desarrollo de sistemas expertos para resolver este problema haciendo uso de técnicas de minería de datos e inteligencia artificial, como inferencia basada en reglas, árboles de decisión, redes bayesianas, entre otras. Además, los grafos pueden ser usados para el almacenamiento de los diferentes tipos de variables que se encuentran presentes en un ambiente de cultivos, permitiendo la aplicación de técnicas de minería de datos en grafos, como el emparejamiento de patrones en los mismos. En este artículo presentamos una visión general de las temáticas mencionadas y una propuesta de un sistema experto para enfermedades en cultivos, basado en emparejamiento de patrones en grafos.For agroindustry, crop diseases constitute one of the most common problems that generate large economic losses and low production quality. On the other hand, from computer science, several tools have emerged in order to improve the prevention and treatment of these diseases. In this sense, recent research proposes the development of expert systems to solve this problem, making use of data mining and artificial intelligence techniques like rule-based inference, decision trees, Bayesian network, among others. Furthermore, graphs can be used for storage of different types of variables that are present in an environment of crops, allowing the application of graph data mining techniques like graph pattern matching. Therefore, in this paper we present an overview of the above issues and a proposal of an expert system for crop disease based on graph pattern matching.p. 81-98Electrónicoapplication/pdfspaUniversidad de MedellínIngeniería AmbientalFacultad de IngenieríasMedellínhttp://revistas.udem.edu.co/index.php/ingenierias/article/view/106215298198Ministerio de Tecnologías de la Información y las Comunicaciones, MinTIC, “Plan nacional de ciencia, tecnología e innovación para el desarrollo de los sectores electrónica, tecnologías de la información y las comunicaciones (etic) en Colombia”, Resumen ejecutivo, 2013.E. Turban & L. E. Frenzel, Expert systems and applied artificial intelligence, United States: Prentice Hall Professional Technical Reference, 1992.M. Rowe, “Applying semantic social graphs to disambiguate identity references”, in The Semantic Web: Research and Applications, Berlin: Springer, 2009, pp. 461-475.C. C. Aggarwal & H. Wang, “An Introduction to Graph Data”, in Managing and Mining Graph Data, Berlin: Springer, 2010, pp. 1-11.D. J. Cook & L. B. Holder, Mining graph data. Hoboken, NJ, USA: John Wiley & Sons, 2006.X. Wang, “Graph pattern matching on social network analysis”, PhD thesis, University of Edinburgh, Edinburgh, Scotland, 2013. Available: http://hdl.handle.net/1842/8277S. Dewanto & J. Lukas, “Expert System For Diagnosis Pest And Disease In Fruit Plants”, EPJ Web of Conferences, vol. 68, no. 24, pp. 1-4, 2014.J. R. Quinlan, “Generating Production Rules from Decision Trees”, in ijcai’87 Proceedings of the 10th international joint conference on Artificial intelligence, Milan, Italy, Aug. 23-29, 1987, pp. 304-307.R. A. Hanneman & M. Riddle, Introduction to social network methods. Riverside, California: University of California, 2005. Available: http://faculty.ucr.edu/~hanneman/nettext/G. Erétéo et al., “Semantic Social Network Analysis: A Concrete Case”, Handbook of research on methods and techniques for studying virtual communities: paradigms and phenomena, vol. 1, pp. 122-156, 2011.E. G. Lasso-Sambony, S. M. Ortega-Ponce, & J. C. Corrales, “Semantic enrichment and inference of relationships in an online social network”, Ing. Univ., vol. 17, no. 2, pp. 355-373, 2013.G. Mansingh, H. Reichgelt, & K. M. O. Bryson, “CPEST: An expert system for the management of pests and diseases in the Jamaican coffee industry”, Expert Syst. Appl., vol. 32, No. 1, pp. 184-192, 2007.W. A. Derwin Suhartono, M. Lestari, & M. Yasin, “Expert System in Detecting Coffee Plant Diseases”, Int. J. Electr. Energy, vol. 1, No. 3, pp. 156-162, 2013.V. Rossi, P. Meriggi, T. Caffi, S. Giosué, & T. Bettati, “A Web-based Decision Support System for Managing Durum Wheat Crops”, in Decision Support Systems, Advances in, G. Devlin, Ed., Vukovar, Croatia: Intech, 2010. Available: http://www.intechopen.com/books/decisionsupport-systems-advances-in/a-web-based-decision-support-system-for-managing-durumwheat-cropsR. F. Chevalier, G. Hoogenboom, R. W. McClendon, & J. O. Paz, “A web-based fuzzy expert system for frost warnings in horticultural crops,” Environ. Model. Softw., vol. 35, pp. 84-91, 2012.R. Jain et al., “Machine learning for forewarning crop diseases”, J Ind Soc Agril Stat., vol. 63, no. 1, pp. 97-107, 2009.M. E. Cintra, C. A. A. Meira, M. C. Monard, H. A. Camargo & L. H. A. Rodrigues, “The use of fuzzy decision trees for coffee rust warning in Brazilian crops”, in 11th International Conference on Intelligent Systems Design and Applications (isda) Cordoba, Spain, Nov, 22-24, 2011, pp. 1347–1352.M. Omid, “Design of an expert system for sorting pistachio nuts through decision tree and fuzzy logic classifier”, Expert Syst. Appl., vol. 38, no. 4, pp. 4339-4347, 2011.J. Molineros, E. De Wolf, L. Francl, L. Madden, & P. Lipps, “Modeling epidemics of fusarium head blight: trials and tribulations”, Phytopathology, vol. 95, no. 6, 2005.K. Ogaard, H. Roy, S. Kase, R. Nagi, K. Sambhoos, & M. Sudit, “Discovering patterns in social networks with graph matching algorithms”, in Social Computing, Behavioral-Cultural Modeling and Prediction, Berlin: Springer, 2013, pp. 341-349.K. P. Sambhoos, “Graph matching applications in high level information fusion”. Dissertation, State University of New York at Buffalo, ProQuest Dissertations Publishing, 2007.Y. Bai, C. Wang, Y. Ning, H. Wu, & H. Wang, “G-path: flexible path pattern query on large graphs”, in Proceedings of the 22nd international conference on World Wide Web companion, Rio de Janeiro, Brazil, May 13-17, 2013, pp. 333–336.G. Kollias, M. Sathe, O. Schenk, & A. Grama, “Fast parallel algorithms for graph similarity and matching”, J. Parallel Distrib. Comput., vol. 74, no. 5, pp. 2400-2410, 2014.G. Kollias, S. Mohammadi, & A. Grama, “Network Similarity Decomposition (NSD): A Fast and Scalable Approach to Network Alignment”, IEEE Trans. Knowl. Data Eng., vol. 24, no. 12, pp. 2232-2243, Dec. 2012.L. P. Cordella, P. Foggia, C. Sansone, & M. Vento, “A (sub) graph isomorphism algorithm for matching large graphs”, Pattern Anal. Mach. Intell. IEEE Trans. On, vol. 26, no. 10, pp. 1367-1372, 2004.L. P. Cordella, P. Foggia, C. Sansone, & M. Vento, “Performance evaluation of the VF graph matching algorithm”, in Proceedings 1999 10th International Conference on Image Analysis and Processing, Venice, Italy, Sep. 27-29, 1999, pp. 1172-1177.J. R. Ullmann, “An algorithm for subgraph isomorphism”, J. ACM JACM, vol. 23, no. 1, pp. 31-42, 1976.V. S. Pawar & M. A. Zaveri, “Graph based pattern matching”, in 2011 8th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD), Shangai, China, Jul. 26-28, 2011, vol. 2, pp. 1022-1026.W. E. Moustafa, A. Kimmig, A. Deshpande, & L. Getoor, “Subgraph pattern matching over uncertain graphs with identity linkage uncertainty”, in 2014 ieee 30th International Conference on Data Engineering (icde), Chicago, USA, Mar. 31 - Apr. 4, 2014, pp. 904-915.H. Yamasaki, T. Yamada & T. Shoudai, “Graph Pattern Matching with Expressive Outerplanar Graph Patterns”, in Intelligent Control and Computer Engineering, Berlin: Springer, 2011, pp. 231-243.J. Mendivelso & Y. Pinzon, “A new approach to isomorphism in attributed graphs”, in 9th Computing Colombian Conference (9ccc), Pereira, Colombia, Sept. 3-5, 2014, pp. 231-239.J. F. Baget & M. L. Mugnier, “Extensions of simple conceptual graphs: the complexity of rules and constraints”, J. Artif. Intell. Res., vol. 16, pp. 425-465, 2002.K. Higa & H. G. Lee, “A graph-based approach for rule integrity and maintainability in expert system maintenance”, Inf. Manage., vol. 33, no. 6, pp. 273-285, 1998.B. Kamsu-Foguem & D. Noyes, “Graph-based reasoning in collaborative knowledge management for industrial maintenance”, Comput. Ind., vol. 64, no. 8, pp. 998-1013, 2013.M. Chein, “Graph-Based Knowledge Representation and Reasoning”, in iceis’10: 12th International Conference on Enterprise Information Systems, Funchal, Madeira - Portugal, Jun. 8-12, 2010.P. Buche, V. Cucheval, A. Diattara, J. Fortin, & A. Gutiérrez, “Implementation of a knowledge representation and reasoning tool using default rules for a decision support system in agronomy applications”, in Graph Structures for Knowledge Representation and Reasoning, Berlin: Springer, 2014, pp. 1-12.T. Liu, C. Tian, F. Li, & H. Zhang, “Rule graph: Incorporate expert and statistical knowledge for rule execution”, in ieee/informs International Conference on Service Operations, Logistics and Informatics, soli’09, Chicago, USA, Jul. 22-24, 2009, pp. 573-578.S. Peter, F. Hoppner & M. R. Berthold, “Pattern graphs: A knowledge-based tool for multivariate temporal pattern retrieval”, in 6th ieee International Conference Intelligent Systems (IS), SOFIA, BULGARIA, SEP. 6-8, 2012, pp. 67-73.W. Fan, J. Li, S. Ma, N. Tang, Y. Wu, & Y. Wu, “Graph pattern matching: from intractable to polynomial time”, Proc. VLDB Endow., vol. 3, no. 1–2, pp. 264-275, 2010.Revista Ingenierías Universidad de Medellínhttp://creativecommons.org/licenses/by-nc-sa/4.0/Attribution-NonCommercial-ShareAlike 4.0 Internationalhttp://purl.org/coar/access_right/c_abf2Revista Ingenierías Universidad de Medellín; Vol. 15, núm. 29 (2016); 81-982248-40941692-3324Expert systemGraphPattern matchingData miningCropDiseaseAgricultureSistema expertoGrafoEmparejamiento de patrónMinería de datosCultivosenfermedadAgriculturaSistema experto para enfermedades en cultivos basado en emparejamiento de patrones en grafos: una propuestaExpert System for Crop Disease based on Graph Pattern Matching: A proposalArticlehttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Artículo científicoinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad de MedellínLat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degreesLong: 075 36 00 W degrees minutes Long: -75.6000 decimal degreesTHUMBNAILRevista_Ingenierias_UdeM_290.pdf.jpgRevista_Ingenierias_UdeM_290.pdf.jpgIM Thumbnailimage/jpeg7672http://repository.udem.edu.co/bitstream/11407/3540/3/Revista_Ingenierias_UdeM_290.pdf.jpg8c6ebf7635e12a87a51cc94b8d01c7d6MD53ORIGINALArticulo.htmltext/html497http://repository.udem.edu.co/bitstream/11407/3540/1/Articulo.html25eba05551b24d46b0be68e04ff37772MD51Revista_Ingenierias_UdeM_290.pdfRevista_Ingenierias_UdeM_290.pdfapplication/pdf1114899http://repository.udem.edu.co/bitstream/11407/3540/2/Revista_Ingenierias_UdeM_290.pdf09f4ac1f5dd445d76f1048f208da39ecMD5211407/3540oai:repository.udem.edu.co:11407/35402021-05-14 14:28:57.638Repositorio Institucional Universidad de Medellinrepositorio@udem.edu.co |