Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba
In Cuba, the state invests considerable resources in the establishment of preparation plans to mitigate and to minimize the negative impacts of natural threats. As a sample of it, since the year 2010, the country carried out the studies of hazard, vulnerability, and risk (HVR), however, the form in...
- Autores:
-
Milanes, Celene B.
Tamayo Yero, H
de Oliveira, D
Nuñez-Alvarez, J R
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2020
- Institución:
- Corporación Universidad de la Costa
- Repositorio:
- REDICUC - Repositorio CUC
- Idioma:
- eng
- OAI Identifier:
- oai:repositorio.cuc.edu.co:11323/6473
- Acceso en línea:
- https://hdl.handle.net/11323/6473
https://repositorio.cuc.edu.co/
- Palabra clave:
- Business intelligence
Decision support system
Data warehouse
Hazard
Vulnerability and risk
- Rights
- openAccess
- License
- CC0 1.0 Universal
| id |
RCUC2_0a0e49427f3889488ac6653c805eb8a8 |
|---|---|
| oai_identifier_str |
oai:repositorio.cuc.edu.co:11323/6473 |
| network_acronym_str |
RCUC2 |
| network_name_str |
REDICUC - Repositorio CUC |
| repository_id_str |
|
| dc.title.spa.fl_str_mv |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| title |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| spellingShingle |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba Business intelligence Decision support system Data warehouse Hazard Vulnerability and risk |
| title_short |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| title_full |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| title_fullStr |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| title_full_unstemmed |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| title_sort |
Application of Business Intelligence in studies management of Hazard, Vulnerability and Risk in Cuba |
| dc.creator.fl_str_mv |
Milanes, Celene B. Tamayo Yero, H de Oliveira, D Nuñez-Alvarez, J R |
| dc.contributor.author.spa.fl_str_mv |
Milanes, Celene B. Tamayo Yero, H de Oliveira, D Nuñez-Alvarez, J R |
| dc.subject.spa.fl_str_mv |
Business intelligence Decision support system Data warehouse Hazard Vulnerability and risk |
| topic |
Business intelligence Decision support system Data warehouse Hazard Vulnerability and risk |
| description |
In Cuba, the state invests considerable resources in the establishment of preparation plans to mitigate and to minimize the negative impacts of natural threats. As a sample of it, since the year 2010, the country carried out the studies of hazard, vulnerability, and risk (HVR), however, the form in that results of these studies are analyzed present serious limitations for the excessive quantity of data that are dispersed and not very understandable for users belonging to the Centers of Risks' Management make decisions in an agile way. The present work, exposes the management’s pattern of the studies of Hazard, Vulnerability and Risk in Cuba alongside the occurrence of hydrometeorological extreme events in vulnerable territories; and the structuring process of the computer proposal that modifies and computerizes the current analysis procedure of these studies in the country. As contributions of the research and by means of the use of techniques and tools of Business Intelligence, is designed and implemented, for the case of Santiago de Cuba province, the data warehouse that centralizes the results of the studies for hydrometeorological extreme events in 2011 and 2016. A decision support system (DSS-HVR) is built, and integrated at the developed data warehouse in this work, it allows the analysis of the studies in a holistic manner and from several perspectives, to obtain outstanding and better-represented information through interactive and dynamic reports, both tabulate and graph representation, all as a support for a fast and effective decision making. |
| publishDate |
2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-07-07T19:14:38Z |
| dc.date.available.none.fl_str_mv |
2020-07-07T19:14:38Z |
| dc.date.issued.none.fl_str_mv |
2020 |
| dc.type.spa.fl_str_mv |
Artículo de revista |
| dc.type.coar.fl_str_mv |
http://purl.org/coar/resource_type/c_2df8fbb1 |
| dc.type.coar.spa.fl_str_mv |
http://purl.org/coar/resource_type/c_6501 |
| dc.type.content.spa.fl_str_mv |
Text |
| dc.type.driver.spa.fl_str_mv |
info:eu-repo/semantics/article |
| dc.type.redcol.spa.fl_str_mv |
http://purl.org/redcol/resource_type/ART |
| dc.type.version.spa.fl_str_mv |
info:eu-repo/semantics/acceptedVersion |
| format |
http://purl.org/coar/resource_type/c_6501 |
| status_str |
acceptedVersion |
| dc.identifier.issn.spa.fl_str_mv |
1757-8981 |
| dc.identifier.uri.spa.fl_str_mv |
https://hdl.handle.net/11323/6473 |
| dc.identifier.doi.spa.fl_str_mv |
doi:10.1088/1757-899X/844/1/012033 1757-899X |
| dc.identifier.instname.spa.fl_str_mv |
Corporación Universidad de la Costa |
| dc.identifier.reponame.spa.fl_str_mv |
REDICUC - Repositorio CUC |
| dc.identifier.repourl.spa.fl_str_mv |
https://repositorio.cuc.edu.co/ |
| identifier_str_mv |
1757-8981 doi:10.1088/1757-899X/844/1/012033 1757-899X Corporación Universidad de la Costa REDICUC - Repositorio CUC |
| url |
https://hdl.handle.net/11323/6473 https://repositorio.cuc.edu.co/ |
| dc.language.iso.none.fl_str_mv |
eng |
| language |
eng |
| dc.relation.references.spa.fl_str_mv |
[1] Serrano J, Pedroso I and Pérez O. 2014. Metodologías para la determinación de riesgos de desastres a nivel territorial. Parte 1. Grupo de Evaluación de Riesgo de la Agencia de Medio Ambiente del Ministerio de Ciencia, Tecnología y Medio Ambiente (CITMA). Cuba. pp- 1-67 [2] Botero, C and Milanés C. 2015. Aportes para la gobernanza marino-costera. Gestión del riesgo, gobernabilidad y distritos costeros. Libro de investigación. Fondo de publicaciones de la Universidad Sergio Arboleda, Bogotá, Colombia. ISBN: 978-958-8866-67-3. ISBN: 978-958-8866-68-0. 554 p [3] Milanés C, Suárez A and Botero C. 2017. Novel method to delimitate and demarcate coastal zone boundaries. Journal Ocean and Coastal Management. 144 (2017) 105- 119p.http://dx.doi.org/10.1016/j.ocecoaman.2017.04.021 [4] Núñez Alvarez, José Ricardo et al. 2019. Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red. Revista Iberoamericana de Automática e Informática industrial, [S.l.]. ISSN 1697-7920. Disponible en: <https://polipapers.upv.es/index.php/RIAI/article/view/11449> [5] Pérez Montero y Milanés B Celene. Social perception of coastal risk in the face of hurricanes in the southeastern region of Cuba. Ocean & Coastal Management. Available online 10 October 2019, 105010. https://doi.org/10.1016/j.ocecoaman.2019.105010 [6] Planas, F.J.A., Milanés, B.C., Fanning, L.M. and Botero, C.M. (2016) Validating Governance Performance Indicators for Integrated Coastal and Ocean Management in the Southeast Region of Cuba. Open Journal of Marine Science, 6, 49-65. doi: DOI: 10.4236/ojms.2016.61006 [7] Milanés Batista, Celene; Galbán Rodríguez, Liber y Olaya Coronado,Nadia J. 2017. Amenazas, riesgos y desastres: Visión teórico-metodológico y experiencias reales. Libro de investigación. 306 p. ISBN: 987-958-8921-44-0 (Digital). Disponible en http://repositorio.cuc.edu.co/xmlui/handle/11323/927 [8] Milanés C, Pereira C and Botero C. 2019. Improving a decree law about coastal zone management in a small island developing state: The case of Cuba. Marine Policy. doi.org/10.1016/j.marpol.2018.12.030 [9] Devece C. A, Lapiedra R and Guiral H 2011. Introducción a la gestión de sistemas de información en la empresa. Universitat Jaume I. pp 7-10 [10] Lluís Cano J. 2008. Business Inteligence: competir con información, Esade. Depósito Legal: M-41185-2007. pp. 21-37 [11] Kopáčková H and Škrobáčková M. 2006. Decision support systems or business intelligence: what can help in decision making. Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration, 10 [12] Huamantumba R. 2007. Manual para diseño y desarrollo de Datamart [13] Calzada L and Abreu J. L. 2009. El impacto de las herramientas de inteligencia de negocios en la toma de decisiones de los ejecutivos. International Journal of Good Conscience. 4(2). pp. 17-52 [14] López N. M, Vela J. P and Mondejar J. C. 2010. Diseño y explotación de almacenes de datos: Conceptos básicos de modelado multidimensional. Editorial Club Universitario, pp 28-29 [15] Kimball R. 1997. A dimensional modeling manifestó. Dbms. 10(9), 58-70 [16] Dario B. R. 2009. Data Warehousing: Investigación y Sistematización de Conceptos–HEFESTO: Metodología propia para la Construcción de un Data Warehouse. Licencia de Documentación Libre de GNU, Versión 1 [17] López C. P 2007. Minería de datos: técnicas y herramientas. Editorial Paraninfo. pp. 74-77 [18] Inmon W. H. 2005. Building the data warehouse. John wiley & sons. pp. 31-32 [19] Oketunji T and Omodara O. 2011. Design of Data Warehouse and Business Intelligence System: A case study of Retail Industry. pp. 12-13, 21-22 [20] Barrio J, Abreu H, Pina I and Alvarez J. 2018. SmartGrid proposal in communities of Guamá Municipality of Santiago de Cuba Province. Journal of Engineering and Technology for Industry Applications, 4(14), 66-74. https://doi.org/10.5935/2447-0228.201831 [21] Valencia G, Nuñez J and Acevedo C. 2019. Research Evolution on Renewable Energies Resources from 2007 to 2017: A Comparative Study on Solar, Geothermal, Wind and Biomass Energy. International Journal of Energy Economics and Policy. 9(6), 242-253. DOI: https://doi.org/10.32479/ijeep.8051 |
| dc.rights.spa.fl_str_mv |
CC0 1.0 Universal |
| dc.rights.uri.spa.fl_str_mv |
http://creativecommons.org/publicdomain/zero/1.0/ |
| dc.rights.accessrights.spa.fl_str_mv |
info:eu-repo/semantics/openAccess |
| dc.rights.coar.spa.fl_str_mv |
http://purl.org/coar/access_right/c_abf2 |
| rights_invalid_str_mv |
CC0 1.0 Universal http://creativecommons.org/publicdomain/zero/1.0/ http://purl.org/coar/access_right/c_abf2 |
| eu_rights_str_mv |
openAccess |
| dc.publisher.spa.fl_str_mv |
IOP Conference Series: Materials Science and Engineering |
| institution |
Corporación Universidad de la Costa |
| bitstream.url.fl_str_mv |
https://repositorio.cuc.edu.co/bitstreams/eea4da3b-0ce7-46b4-b14a-a1ffbe031398/download https://repositorio.cuc.edu.co/bitstreams/9597bb7f-ac66-413d-ad94-dfee692e3582/download https://repositorio.cuc.edu.co/bitstreams/e809eb29-ed32-4720-b6df-4bdfe923da3d/download https://repositorio.cuc.edu.co/bitstreams/e5689b35-3b76-412e-b33d-a7178fb7dacc/download https://repositorio.cuc.edu.co/bitstreams/1901ea79-86c1-46b1-816a-1ea15bc20c5d/download |
| bitstream.checksum.fl_str_mv |
24d5cb9f094e0851c410c027a66bd342 42fd4ad1e89814f5e4a476b409eb708c e30e9215131d99561d40d6b0abbe9bad 4416b9634ac7d08c2dd49e1ebb3c7624 a8b4b542916295cee18a21713d6c285f |
| bitstream.checksumAlgorithm.fl_str_mv |
MD5 MD5 MD5 MD5 MD5 |
| repository.name.fl_str_mv |
Repositorio de la Universidad de la Costa CUC |
| repository.mail.fl_str_mv |
repdigital@cuc.edu.co |
| _version_ |
1811760822091776000 |
| spelling |
Milanes, Celene B.Tamayo Yero, Hde Oliveira, DNuñez-Alvarez, J R2020-07-07T19:14:38Z2020-07-07T19:14:38Z20201757-8981https://hdl.handle.net/11323/6473doi:10.1088/1757-899X/844/1/0120331757-899XCorporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/In Cuba, the state invests considerable resources in the establishment of preparation plans to mitigate and to minimize the negative impacts of natural threats. As a sample of it, since the year 2010, the country carried out the studies of hazard, vulnerability, and risk (HVR), however, the form in that results of these studies are analyzed present serious limitations for the excessive quantity of data that are dispersed and not very understandable for users belonging to the Centers of Risks' Management make decisions in an agile way. The present work, exposes the management’s pattern of the studies of Hazard, Vulnerability and Risk in Cuba alongside the occurrence of hydrometeorological extreme events in vulnerable territories; and the structuring process of the computer proposal that modifies and computerizes the current analysis procedure of these studies in the country. As contributions of the research and by means of the use of techniques and tools of Business Intelligence, is designed and implemented, for the case of Santiago de Cuba province, the data warehouse that centralizes the results of the studies for hydrometeorological extreme events in 2011 and 2016. A decision support system (DSS-HVR) is built, and integrated at the developed data warehouse in this work, it allows the analysis of the studies in a holistic manner and from several perspectives, to obtain outstanding and better-represented information through interactive and dynamic reports, both tabulate and graph representation, all as a support for a fast and effective decision making.Milanes, Celene B.-will be generated-orcid-0000-0003-2560-8859-600Tamayo Yero, H-will be generated-orcid-0000-0003-3930-4979-600de Oliveira, DNuñez-Alvarez, J RengIOP Conference Series: Materials Science and EngineeringCC0 1.0 Universalhttp://creativecommons.org/publicdomain/zero/1.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Business intelligenceDecision support systemData warehouseHazardVulnerability and riskApplication of Business Intelligence in studies management of Hazard, Vulnerability and Risk in CubaArtículo 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/acceptedVersion[1] Serrano J, Pedroso I and Pérez O. 2014. Metodologías para la determinación de riesgos de desastres a nivel territorial. Parte 1. Grupo de Evaluación de Riesgo de la Agencia de Medio Ambiente del Ministerio de Ciencia, Tecnología y Medio Ambiente (CITMA). Cuba. pp- 1-67[2] Botero, C and Milanés C. 2015. Aportes para la gobernanza marino-costera. Gestión del riesgo, gobernabilidad y distritos costeros. Libro de investigación. Fondo de publicaciones de la Universidad Sergio Arboleda, Bogotá, Colombia. ISBN: 978-958-8866-67-3. ISBN: 978-958-8866-68-0. 554 p[3] Milanés C, Suárez A and Botero C. 2017. Novel method to delimitate and demarcate coastal zone boundaries. Journal Ocean and Coastal Management. 144 (2017) 105- 119p.http://dx.doi.org/10.1016/j.ocecoaman.2017.04.021[4] Núñez Alvarez, José Ricardo et al. 2019. Metodología de diagnóstico de fallos para sistemas fotovoltaicos de conexión a red. Revista Iberoamericana de Automática e Informática industrial, [S.l.]. ISSN 1697-7920. Disponible en: <https://polipapers.upv.es/index.php/RIAI/article/view/11449>[5] Pérez Montero y Milanés B Celene. Social perception of coastal risk in the face of hurricanes in the southeastern region of Cuba. Ocean & Coastal Management. Available online 10 October 2019, 105010. https://doi.org/10.1016/j.ocecoaman.2019.105010[6] Planas, F.J.A., Milanés, B.C., Fanning, L.M. and Botero, C.M. (2016) Validating Governance Performance Indicators for Integrated Coastal and Ocean Management in the Southeast Region of Cuba. Open Journal of Marine Science, 6, 49-65. doi: DOI: 10.4236/ojms.2016.61006[7] Milanés Batista, Celene; Galbán Rodríguez, Liber y Olaya Coronado,Nadia J. 2017. Amenazas, riesgos y desastres: Visión teórico-metodológico y experiencias reales. Libro de investigación. 306 p. ISBN: 987-958-8921-44-0 (Digital). Disponible en http://repositorio.cuc.edu.co/xmlui/handle/11323/927[8] Milanés C, Pereira C and Botero C. 2019. Improving a decree law about coastal zone management in a small island developing state: The case of Cuba. Marine Policy. doi.org/10.1016/j.marpol.2018.12.030[9] Devece C. A, Lapiedra R and Guiral H 2011. Introducción a la gestión de sistemas de información en la empresa. Universitat Jaume I. pp 7-10[10] Lluís Cano J. 2008. Business Inteligence: competir con información, Esade. Depósito Legal: M-41185-2007. pp. 21-37[11] Kopáčková H and Škrobáčková M. 2006. Decision support systems or business intelligence: what can help in decision making. Scientific Papers of the University of Pardubice. Series D, Faculty of Economics and Administration, 10[12] Huamantumba R. 2007. Manual para diseño y desarrollo de Datamart[13] Calzada L and Abreu J. L. 2009. El impacto de las herramientas de inteligencia de negocios en la toma de decisiones de los ejecutivos. International Journal of Good Conscience. 4(2). pp. 17-52[14] López N. M, Vela J. P and Mondejar J. C. 2010. Diseño y explotación de almacenes de datos: Conceptos básicos de modelado multidimensional. Editorial Club Universitario, pp 28-29[15] Kimball R. 1997. A dimensional modeling manifestó. Dbms. 10(9), 58-70[16] Dario B. R. 2009. Data Warehousing: Investigación y Sistematización de Conceptos–HEFESTO: Metodología propia para la Construcción de un Data Warehouse. Licencia de Documentación Libre de GNU, Versión 1[17] López C. P 2007. Minería de datos: técnicas y herramientas. Editorial Paraninfo. pp. 74-77[18] Inmon W. H. 2005. Building the data warehouse. John wiley & sons. pp. 31-32[19] Oketunji T and Omodara O. 2011. Design of Data Warehouse and Business Intelligence System: A case study of Retail Industry. pp. 12-13, 21-22[20] Barrio J, Abreu H, Pina I and Alvarez J. 2018. SmartGrid proposal in communities of Guamá Municipality of Santiago de Cuba Province. Journal of Engineering and Technology for Industry Applications, 4(14), 66-74. https://doi.org/10.5935/2447-0228.201831[21] Valencia G, Nuñez J and Acevedo C. 2019. Research Evolution on Renewable Energies Resources from 2007 to 2017: A Comparative Study on Solar, Geothermal, Wind and Biomass Energy. International Journal of Energy Economics and Policy. 9(6), 242-253. DOI: https://doi.org/10.32479/ijeep.8051PublicationORIGINALApplication of Business Intelligence in studies management of Hazard.pdfApplication of Business Intelligence in studies management of Hazard.pdfapplication/pdf1197885https://repositorio.cuc.edu.co/bitstreams/eea4da3b-0ce7-46b4-b14a-a1ffbe031398/download24d5cb9f094e0851c410c027a66bd342MD51CC-LICENSElicense_rdflicense_rdfapplication/rdf+xml; charset=utf-8701https://repositorio.cuc.edu.co/bitstreams/9597bb7f-ac66-413d-ad94-dfee692e3582/download42fd4ad1e89814f5e4a476b409eb708cMD52LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/e809eb29-ed32-4720-b6df-4bdfe923da3d/downloade30e9215131d99561d40d6b0abbe9badMD53THUMBNAILApplication of Business Intelligence in studies management of Hazard.pdf.jpgApplication of Business Intelligence in studies management of Hazard.pdf.jpgimage/jpeg22924https://repositorio.cuc.edu.co/bitstreams/e5689b35-3b76-412e-b33d-a7178fb7dacc/download4416b9634ac7d08c2dd49e1ebb3c7624MD54TEXTApplication of Business Intelligence in studies management of Hazard.pdf.txtApplication of Business Intelligence in studies management of Hazard.pdf.txttext/plain39069https://repositorio.cuc.edu.co/bitstreams/1901ea79-86c1-46b1-816a-1ea15bc20c5d/downloada8b4b542916295cee18a21713d6c285fMD5511323/6473oai:repositorio.cuc.edu.co:11323/64732024-09-17 14:05:14.973http://creativecommons.org/publicdomain/zero/1.0/CC0 1.0 Universalopen.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.coQXV0b3Jpem8gKGF1dG9yaXphbW9zKSBhIGxhIEJpYmxpb3RlY2EgZGUgbGEgSW5zdGl0dWNpw7NuIHBhcmEgcXVlIGluY2x1eWEgdW5hIGNvcGlhLCBpbmRleGUgeSBkaXZ1bGd1ZSBlbiBlbCBSZXBvc2l0b3JpbyBJbnN0aXR1Y2lvbmFsLCBsYSBvYnJhIG1lbmNpb25hZGEgY29uIGVsIGZpbiBkZSBmYWNpbGl0YXIgbG9zIHByb2Nlc29zIGRlIHZpc2liaWxpZGFkIGUgaW1wYWN0byBkZSBsYSBtaXNtYSwgY29uZm9ybWUgYSBsb3MgZGVyZWNob3MgcGF0cmltb25pYWxlcyBxdWUgbWUobm9zKSBjb3JyZXNwb25kZShuKSB5IHF1ZSBpbmNsdXllbjogbGEgcmVwcm9kdWNjacOzbiwgY29tdW5pY2FjacOzbiBww7pibGljYSwgZGlzdHJpYnVjacOzbiBhbCBww7pibGljbywgdHJhbnNmb3JtYWNpw7NuLCBkZSBjb25mb3JtaWRhZCBjb24gbGEgbm9ybWF0aXZpZGFkIHZpZ2VudGUgc29icmUgZGVyZWNob3MgZGUgYXV0b3IgeSBkZXJlY2hvcyBjb25leG9zIHJlZmVyaWRvcyBlbiBhcnQuIDIsIDEyLCAzMCAobW9kaWZpY2FkbyBwb3IgZWwgYXJ0IDUgZGUgbGEgbGV5IDE1MjAvMjAxMiksIHkgNzIgZGUgbGEgbGV5IDIzIGRlIGRlIDE5ODIsIExleSA0NCBkZSAxOTkzLCBhcnQuIDQgeSAxMSBEZWNpc2nDs24gQW5kaW5hIDM1MSBkZSAxOTkzIGFydC4gMTEsIERlY3JldG8gNDYwIGRlIDE5OTUsIENpcmN1bGFyIE5vIDA2LzIwMDIgZGUgbGEgRGlyZWNjacOzbiBOYWNpb25hbCBkZSBEZXJlY2hvcyBkZSBhdXRvciwgYXJ0LiAxNSBMZXkgMTUyMCBkZSAyMDEyLCBsYSBMZXkgMTkxNSBkZSAyMDE4IHkgZGVtw6FzIG5vcm1hcyBzb2JyZSBsYSBtYXRlcmlhLg0KDQpBbCByZXNwZWN0byBjb21vIEF1dG9yKGVzKSBtYW5pZmVzdGFtb3MgY29ub2NlciBxdWU6DQoNCi0gTGEgYXV0b3JpemFjacOzbiBlcyBkZSBjYXLDoWN0ZXIgbm8gZXhjbHVzaXZhIHkgbGltaXRhZGEsIGVzdG8gaW1wbGljYSBxdWUgbGEgbGljZW5jaWEgdGllbmUgdW5hIHZpZ2VuY2lhLCBxdWUgbm8gZXMgcGVycGV0dWEgeSBxdWUgZWwgYXV0b3IgcHVlZGUgcHVibGljYXIgbyBkaWZ1bmRpciBzdSBvYnJhIGVuIGN1YWxxdWllciBvdHJvIG1lZGlvLCBhc8OtIGNvbW8gbGxldmFyIGEgY2FibyBjdWFscXVpZXIgdGlwbyBkZSBhY2Npw7NuIHNvYnJlIGVsIGRvY3VtZW50by4NCg0KLSBMYSBhdXRvcml6YWNpw7NuIHRlbmRyw6EgdW5hIHZpZ2VuY2lhIGRlIGNpbmNvIGHDsW9zIGEgcGFydGlyIGRlbCBtb21lbnRvIGRlIGxhIGluY2x1c2nDs24gZGUgbGEgb2JyYSBlbiBlbCByZXBvc2l0b3JpbywgcHJvcnJvZ2FibGUgaW5kZWZpbmlkYW1lbnRlIHBvciBlbCB0aWVtcG8gZGUgZHVyYWNpw7NuIGRlIGxvcyBkZXJlY2hvcyBwYXRyaW1vbmlhbGVzIGRlbCBhdXRvciB5IHBvZHLDoSBkYXJzZSBwb3IgdGVybWluYWRhIHVuYSB2ZXogZWwgYXV0b3IgbG8gbWFuaWZpZXN0ZSBwb3IgZXNjcml0byBhIGxhIGluc3RpdHVjacOzbiwgY29uIGxhIHNhbHZlZGFkIGRlIHF1ZSBsYSBvYnJhIGVzIGRpZnVuZGlkYSBnbG9iYWxtZW50ZSB5IGNvc2VjaGFkYSBwb3IgZGlmZXJlbnRlcyBidXNjYWRvcmVzIHkvbyByZXBvc2l0b3Jpb3MgZW4gSW50ZXJuZXQgbG8gcXVlIG5vIGdhcmFudGl6YSBxdWUgbGEgb2JyYSBwdWVkYSBzZXIgcmV0aXJhZGEgZGUgbWFuZXJhIGlubWVkaWF0YSBkZSBvdHJvcyBzaXN0ZW1hcyBkZSBpbmZvcm1hY2nDs24gZW4gbG9zIHF1ZSBzZSBoYXlhIGluZGV4YWRvLCBkaWZlcmVudGVzIGFsIHJlcG9zaXRvcmlvIGluc3RpdHVjaW9uYWwgZGUgbGEgSW5zdGl0dWNpw7NuLCBkZSBtYW5lcmEgcXVlIGVsIGF1dG9yKHJlcykgdGVuZHLDoW4gcXVlIHNvbGljaXRhciBsYSByZXRpcmFkYSBkZSBzdSBvYnJhIGRpcmVjdGFtZW50ZSBhIG90cm9zIHNpc3RlbWFzIGRlIGluZm9ybWFjacOzbiBkaXN0aW50b3MgYWwgZGUgbGEgSW5zdGl0dWNpw7NuIHNpIGRlc2VhIHF1ZSBzdSBvYnJhIHNlYSByZXRpcmFkYSBkZSBpbm1lZGlhdG8uDQoNCi0gTGEgYXV0b3JpemFjacOzbiBkZSBwdWJsaWNhY2nDs24gY29tcHJlbmRlIGVsIGZvcm1hdG8gb3JpZ2luYWwgZGUgbGEgb2JyYSB5IHRvZG9zIGxvcyBkZW3DoXMgcXVlIHNlIHJlcXVpZXJhIHBhcmEgc3UgcHVibGljYWNpw7NuIGVuIGVsIHJlcG9zaXRvcmlvLiBJZ3VhbG1lbnRlLCBsYSBhdXRvcml6YWNpw7NuIHBlcm1pdGUgYSBsYSBpbnN0aXR1Y2nDs24gZWwgY2FtYmlvIGRlIHNvcG9ydGUgZGUgbGEgb2JyYSBjb24gZmluZXMgZGUgcHJlc2VydmFjacOzbiAoaW1wcmVzbywgZWxlY3Ryw7NuaWNvLCBkaWdpdGFsLCBJbnRlcm5ldCwgaW50cmFuZXQsIG8gY3VhbHF1aWVyIG90cm8gZm9ybWF0byBjb25vY2lkbyBvIHBvciBjb25vY2VyKS4NCg0KLSBMYSBhdXRvcml6YWNpw7NuIGVzIGdyYXR1aXRhIHkgc2UgcmVudW5jaWEgYSByZWNpYmlyIGN1YWxxdWllciByZW11bmVyYWNpw7NuIHBvciBsb3MgdXNvcyBkZSBsYSBvYnJhLCBkZSBhY3VlcmRvIGNvbiBsYSBsaWNlbmNpYSBlc3RhYmxlY2lkYSBlbiBlc3RhIGF1dG9yaXphY2nDs24uDQoNCi0gQWwgZmlybWFyIGVzdGEgYXV0b3JpemFjacOzbiwgc2UgbWFuaWZpZXN0YSBxdWUgbGEgb2JyYSBlcyBvcmlnaW5hbCB5IG5vIGV4aXN0ZSBlbiBlbGxhIG5pbmd1bmEgdmlvbGFjacOzbiBhIGxvcyBkZXJlY2hvcyBkZSBhdXRvciBkZSB0ZXJjZXJvcy4gRW4gY2FzbyBkZSBxdWUgZWwgdHJhYmFqbyBoYXlhIHNpZG8gZmluYW5jaWFkbyBwb3IgdGVyY2Vyb3MgZWwgbyBsb3MgYXV0b3JlcyBhc3VtZW4gbGEgcmVzcG9uc2FiaWxpZGFkIGRlbCBjdW1wbGltaWVudG8gZGUgbG9zIGFjdWVyZG9zIGVzdGFibGVjaWRvcyBzb2JyZSBsb3MgZGVyZWNob3MgcGF0cmltb25pYWxlcyBkZSBsYSBvYnJhIGNvbiBkaWNobyB0ZXJjZXJvLg0KDQotIEZyZW50ZSBhIGN1YWxxdWllciByZWNsYW1hY2nDs24gcG9yIHRlcmNlcm9zLCBlbCBvIGxvcyBhdXRvcmVzIHNlcsOhbiByZXNwb25zYWJsZXMsIGVuIG5pbmfDum4gY2FzbyBsYSByZXNwb25zYWJpbGlkYWQgc2Vyw6EgYXN1bWlkYSBwb3IgbGEgaW5zdGl0dWNpw7NuLg0KDQotIENvbiBsYSBhdXRvcml6YWNpw7NuLCBsYSBpbnN0aXR1Y2nDs24gcHVlZGUgZGlmdW5kaXIgbGEgb2JyYSBlbiDDrW5kaWNlcywgYnVzY2Fkb3JlcyB5IG90cm9zIHNpc3RlbWFzIGRlIGluZm9ybWFjacOzbiBxdWUgZmF2b3JlemNhbiBzdSB2aXNpYmlsaWRhZA== |