Mapping concept and challenges for smart technologies: a systematic study approach

El objetivo de la investigación descrita en este documento es identificar, clasificar, y explorar los principales conceptos y su evolución relacionados con las tecnologías inteligentes. Aplicamos el estudio de cartografía sistemática, seleccionando 836 estudios y sintetizamos los datos obtenidos y e...

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Autores:: Maestre Góngora, Gina Paola
Colmenares Quintero, Ramón Fernando
Stansfield, Kim E.

Tipo de recurso:: Article of journal

Fecha de publicación:: 2020

Institución:: Universidad Cooperativa de Colombia

Repositorio:: Repositorio UCC

Idioma:

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dc.title.spa.fl_str_mv	Mapping concept and challenges for smart technologies: a systematic study approach
title	Mapping concept and challenges for smart technologies: a systematic study approach
spellingShingle	Mapping concept and challenges for smart technologies: a systematic study approach Analítica de datos Inteligencia artificial Dispositivos inteligentes Sistemas inteligentes Tecnología inteligente TG 2020 ICI 20556 Data analytics Intelligence artificial Smart device Smart systems Smart technology
title_short	Mapping concept and challenges for smart technologies: a systematic study approach
title_full	Mapping concept and challenges for smart technologies: a systematic study approach
title_fullStr	Mapping concept and challenges for smart technologies: a systematic study approach
title_full_unstemmed	Mapping concept and challenges for smart technologies: a systematic study approach
title_sort	Mapping concept and challenges for smart technologies: a systematic study approach
dc.creator.fl_str_mv	Maestre Góngora, Gina Paola Colmenares Quintero, Ramón Fernando Stansfield, Kim E.
dc.contributor.author.none.fl_str_mv	Maestre Góngora, Gina Paola Colmenares Quintero, Ramón Fernando Stansfield, Kim E.
dc.subject.spa.fl_str_mv	Analítica de datos Inteligencia artificial Dispositivos inteligentes Sistemas inteligentes Tecnología inteligente
topic	Analítica de datos Inteligencia artificial Dispositivos inteligentes Sistemas inteligentes Tecnología inteligente TG 2020 ICI 20556 Data analytics Intelligence artificial Smart device Smart systems Smart technology
dc.subject.classification.spa.fl_str_mv	TG 2020 ICI 20556
dc.subject.other.spa.fl_str_mv	Data analytics Intelligence artificial Smart device Smart systems Smart technology
description	El objetivo de la investigación descrita en este documento es identificar, clasificar, y explorar los principales conceptos y su evolución relacionados con las tecnologías inteligentes. Aplicamos el estudio de cartografía sistemática, seleccionando 836 estudios y sintetizamos los datos obtenidos y el análisis bibliométrico producido. Descubrimos que la mayoría de la investigación se ha orientado hacia el concepto de sistemas inteligentes como el término pionero de estas tendencias, pero destaca términos emergentes como: Smart Dispositivo, Tecnología Inteligente, Sistemas Inteligentes que en los últimos años muestran un tendencia creciente en el número de publicaciones. Por otra parte, la tecnología El avance en los grandes datos, sensores y redes ha generado más investigación y desarrollo en este campo. La labor futura puede centrarse en temas de investigación, como los modelos de la evolución de las tecnologías en temas emergentes como Big Data, Analítica, Internet de las cosas y su impacto en algunos campos de aplicación.
publishDate	2020
dc.date.accessioned.none.fl_str_mv	2020-10-29T16:45:54Z
dc.date.available.none.fl_str_mv	2020-10-29T16:45:54Z
dc.date.issued.none.fl_str_mv	2020-08-01
dc.type.none.fl_str_mv	Artículo
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dc.identifier.bibliographicCitation.spa.fl_str_mv	Gongóra G., Colmenares F., Stansfield K.(2020) Mapping concept and challenges for smart technologies: a systematic study approach. RISTI Revista Ibérica de Sistemas e Tecnologias de Informação, 28 - 40, ISSN: 1646-9895 [Trabajo de grado Pregrado. Universidad Cooperativa de Colombia]. Repositorio Institucional UCC http://hdl.handle.net/20.500.12494/20556
identifier_str_mv	1646-9895 Gongóra G., Colmenares F., Stansfield K.(2020) Mapping concept and challenges for smart technologies: a systematic study approach. RISTI Revista Ibérica de Sistemas e Tecnologias de Informação, 28 - 40, ISSN: 1646-9895 [Trabajo de grado Pregrado. Universidad Cooperativa de Colombia]. Repositorio Institucional UCC http://hdl.handle.net/20.500.12494/20556
url	https://hdl.handle.net/20.500.12494/20556
dc.relation.isversionof.spa.fl_str_mv	http://www.risti.xyz/issues/ristie32.pdf
dc.relation.ispartofjournal.spa.fl_str_mv	Revista Ibérica de Sistemas e Tecnologias de Informação
dc.relation.references.spa.fl_str_mv	Amjady, N., & Hemmati, M. (2009). Day-ahead price forecasting of electricity markets by a hybrid intelligent system. European Transactions on Electrical Power, 19(1), 89–102. doi:10.1002/etep.242 Avancini, D. B., Rodrigues, J. J. P. C., Martins, S. G. B., Rabêlo, R. A. L., Al-Muhtadi, J., & Solic, P. (2019). Energy meters evolution in smart grids: A review. Journal of Cleaner Production, 217, 702–715. doi:10.1016/j.jclepro.2019.01.229 Borawska, A., Borawski, M., & Łatuszyńska, M. (2018). The Concept of Virtual Reality System to Study the Media Message Effectiveness of Social Campaigns. Procedia Computer Science, 126, 1616–1626. doi:10.1016/j.procs.2018.08.135 Borsci, S., Lawson, G., & Broome, S. (2015). Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance. Computers in Industry, 67, 17–26. doi:10.1016/j.compind.2014.12.002 Cattaneo, L., Fumagalli, L., Macchi, M., & Negri, E. (2018). Clarifying Data Analytics Concepts for Industrial Engineering. IFAC-PapersOnLine, 51(11), 820-825. Davidekova, M., Mjartan, M., & Gregus, M. (2017). Utilization of augmented reality in education of employees in slovakia. ICERI2017 Proceedings. doi:10.21125/ iceri.2017.1600 Fujita, H., & Mori, H. (2012). A Hybrid Intelligent System for Designing a Contract Model for Weather Derivatives. Procedia Computer Science, 12, 361–366. doi:10.1016/j. procs.2012.09.085 Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: Communication Hastie, T., Tibshirani, R., Friedman, J. (2008). The Elements of Statistical Learning. Data Mining, Inference and Prediction, Springer, 2nd Edition Holnicki-Szulc, J. (Ed.). (2008). Smart Technologies for Safety Engineering. doi:10.1002/9780470758595 Hussain, M. I. (2016). Internet of Things: challenges and research opportunities. CSI Transactions on ICT, 5(1), 87–95. doi:10.1007/s40012-016-0136-6 Jensen, L., & Konradsen, F. (2017). A review of the use of virtual reality head-mounted displays in education and training. Education and Information Technologies, 23(4), 1515–1529. doi:10.1007/s10639-017-9676-0 Kannan, N., Sivasubramanian, S., Kaliappan, M., Vimal, S., & Suresh, A. (2018). Predictive big data analytic on demonetization data using support vector machine. Cluster Computing. doi:10.1007/s10586-018-2384-8 Kasper, A. (2014). Legal Aspects of CyberSecurity in Emerging Technologies: Smart Grids and Big Data. Regulating eTechnologies in the European Union, 189–216. doi:10.1007/978-3-319-08117-5_10 Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and software technology, 51(1), 7-15. Latif, Z., Lei, W., Latif, S., Pathan, Z. H., Ullah, R., & Jianqiu, Z. (2017). Big data challenges: Prioritizing by decision-making process using Analytic Network Process technique. Multimedia Tools and Applications. doi:10.1007/s11042-017-5161-4 Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Online and ubiquitous HCI research. Research Methods in Human Computer Interaction, 411–453. doi:10.1016/b978-0- 12-805390-4.00014-5 Lee, U., Han, K., Cho, H., Chung, K.-M., Hong, H., Lee, S.-J., … Carroll, J. M. (2019). Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks, 83, 8–24. doi:10.1016/j. adhoc.2018.08.021 Moret-Bonillo, V. (2018). Emerging technologies in artificial intelligence: quantum rule-based systems. Progress in Artificial Intelligence, 7(2), 155–166. doi:10.1007/ s13748-017-0140-6 Puliafito, A., Mitton, N., Papavassiliou, S., & Trivedi, K. S. (2012). Editorial: Special issue on Internet of Things: convergence of sensing, networking, and web technologies. EURASIP Journal on Wireless Communications and Networking, 2012(1). doi:10.1186/1687-1499-2012-212 Salehi, H., & Burgueño, R. (2018). Emerging artificial intelligence methods in structural engineering Sánchez, Á., Barreiro, J. M., & Maojo, V. (2000). Design of virtual reality systems for education: A cognitive approach. Education and information technologies, 5(4), 345-362. Silverio-Fernández, M., Renukappa, S., & Suresh, S. (2018). What is a smart device? - a conceptualisation within the paradigm of the internet of things. Visualization in Engineering, 6(1). doi:10.1186/s40327-018-0063-8 Sorrell, S. (2007). Improving the evidence base for energy policy: The role of systematic reviews. Energy Policy, 35(3), 1858–1871. doi:10.1016/j.enpol.2006.06.008 Tzafestas, S. G. (Ed.). (1999). Advances in Intelligent Systems. doi:10.1007/978-94-011- 4840-5 Vaccaro, A., Pisica, I., Lai, L. L., & Zobaa, A. F. (2019). A review of enabling methodologies for information processing in smart grids. International Journal of Electrical Power & Energy Systems, 107, 516–522. doi:10.1016/j.ijepes.2018.11.034 Voronov, A. V. (2007). Methodological aspects of artificial intelligence. Automatic Documentation and Mathematical Linguistics, 41(4), 131–137. doi:10.3103/ s0005105507040012 Yamaura, J., & Muench, S. T. (2018). Assessing the impacts of mobile technology on public transportation project inspection. Automation in Construction, 96, 55–64. doi:10.1016/j.autcon.2018.08.021 Yousuf, M. I. (2007). Effectiveness of mobile learning in distance educatio Effectiveness of mobile learning in distance education. Turkish Online Journal of Distance Education 8 (4):114-124. Wen, M.-X., Chu, M.-H., Fang, L., & Chen, W.-J. (2016). Realization and Research of Intelligent system of client electricity information based on the Big Data Processing Technology. doi:10.2991/icadme-16.2016.110 Zhang, Y., Huang, T., & Bompard, E. F. (2018). Big data analytics in smart grids: a review. Energy Informatics, 1(1). doi:10.1186/s42162-018-0007-5 Zseby, T., & Fabini, J. (2014). Security Challenges for Wide Area Monitoring in Smart Grids. e & i Elektrotechnik Und Informationstechnik, 131(3), 105–111. doi:10.1007/ s00502-014-0203-3
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spelling	Maestre Góngora, Gina PaolaColmenares Quintero, Ramón FernandoStansfield, Kim E.322020-10-29T16:45:54Z2020-10-29T16:45:54Z2020-08-011646-9895https://hdl.handle.net/20.500.12494/20556Gongóra G., Colmenares F., Stansfield K.(2020) Mapping concept and challenges for smart technologies: a systematic study approach. RISTI Revista Ibérica de Sistemas e Tecnologias de Informação, 28 - 40, ISSN: 1646-9895 [Trabajo de grado Pregrado. Universidad Cooperativa de Colombia]. Repositorio Institucional UCC http://hdl.handle.net/20.500.12494/20556El objetivo de la investigación descrita en este documento es identificar, clasificar, y explorar los principales conceptos y su evolución relacionados con las tecnologías inteligentes. Aplicamos el estudio de cartografía sistemática, seleccionando 836 estudios y sintetizamos los datos obtenidos y el análisis bibliométrico producido. Descubrimos que la mayoría de la investigación se ha orientado hacia el concepto de sistemas inteligentes como el término pionero de estas tendencias, pero destaca términos emergentes como: Smart Dispositivo, Tecnología Inteligente, Sistemas Inteligentes que en los últimos años muestran un tendencia creciente en el número de publicaciones. Por otra parte, la tecnología El avance en los grandes datos, sensores y redes ha generado más investigación y desarrollo en este campo. La labor futura puede centrarse en temas de investigación, como los modelos de la evolución de las tecnologías en temas emergentes como Big Data, Analítica, Internet de las cosas y su impacto en algunos campos de aplicación.The aim of the research described in this paper is to at identify, classify, and explore the main concepts and their evolution related to smart technologies. We apply the systematic mapping study, selecting 836 studies and we synthesized the obtained data and produced bibliometric analysis. We discovered that most of the research has been oriented towards the concept of intelligent systems as the pioneering term of these trends, but highlights emerging terms such as: Smart Device, Smart Technology, Intelligent Systems that in recent years show an increasing trend in the number of publications. On the other hand, the technological advance in Big Data, Sensors and Networks has generated more research and development in this field. Future work may focus on research topics, such as models of evolution of technologies in emerging topics such as Big Data, Analytics, Internet of Things and its impact on some fields of application.https://scienti.minciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0001087002https://scienti.colciencias.gov.co/cvlac/visualizador/generarCurriculoCv.do?cod_rh=0000192503https://orcid.org/0000-0002-2880-9245https://orcid.org/0000-0003-1166-1982https://scienti.minciencias.gov.co/gruplac/jsp/visualiza/visualizagr.jsp?nro=00000000005961gina.maestre@campusucc.edu.coramon.colmenaresq@campusucc.edu.cok.stansfield@warwick.ac.ukhttps://scholar.google.com/citations?user=-EfDLGsAAAAJ&hl=enhttps://scholar.google.com/citations?user=9HLAZYUAAAAJ&hl=es40 p.AISTI – Associação Ibérica de Sistemas e Tecnologias de InformaçãoUniversidad Cooperativa de Colombia, Facultad de Ingenierías, Ingeniería Civil, Medellín y EnvigadoIngeniería CivilMedellínhttp://www.risti.xyz/issues/ristie32.pdfRevista Ibérica de Sistemas e Tecnologias de InformaçãoAmjady, N., & Hemmati, M. (2009). Day-ahead price forecasting of electricity markets by a hybrid intelligent system. European Transactions on Electrical Power, 19(1), 89–102. doi:10.1002/etep.242Avancini, D. B., Rodrigues, J. J. P. C., Martins, S. G. B., Rabêlo, R. A. L., Al-Muhtadi, J., & Solic, P. (2019). Energy meters evolution in smart grids: A review. Journal of Cleaner Production, 217, 702–715. doi:10.1016/j.jclepro.2019.01.229Borawska, A., Borawski, M., & Łatuszyńska, M. (2018). The Concept of Virtual Reality System to Study the Media Message Effectiveness of Social Campaigns. Procedia Computer Science, 126, 1616–1626. doi:10.1016/j.procs.2018.08.135Borsci, S., Lawson, G., & Broome, S. (2015). Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance. Computers in Industry, 67, 17–26. doi:10.1016/j.compind.2014.12.002Cattaneo, L., Fumagalli, L., Macchi, M., & Negri, E. (2018). Clarifying Data Analytics Concepts for Industrial Engineering. IFAC-PapersOnLine, 51(11), 820-825.Davidekova, M., Mjartan, M., & Gregus, M. (2017). Utilization of augmented reality in education of employees in slovakia. ICERI2017 Proceedings. doi:10.21125/ iceri.2017.1600Fujita, H., & Mori, H. (2012). A Hybrid Intelligent System for Designing a Contract Model for Weather Derivatives. Procedia Computer Science, 12, 361–366. doi:10.1016/j. procs.2012.09.085Gungor, V. C., Sahin, D., Kocak, T., Ergut, S., Buccella, C., Cecati, C., & Hancke, G. P. (2011). Smart grid technologies: CommunicationHastie, T., Tibshirani, R., Friedman, J. (2008). The Elements of Statistical Learning. Data Mining, Inference and Prediction, Springer, 2nd EditionHolnicki-Szulc, J. (Ed.). (2008). Smart Technologies for Safety Engineering. doi:10.1002/9780470758595Hussain, M. I. (2016). Internet of Things: challenges and research opportunities. CSI Transactions on ICT, 5(1), 87–95. doi:10.1007/s40012-016-0136-6Jensen, L., & Konradsen, F. (2017). A review of the use of virtual reality head-mounted displays in education and training. Education and Information Technologies, 23(4), 1515–1529. doi:10.1007/s10639-017-9676-0Kannan, N., Sivasubramanian, S., Kaliappan, M., Vimal, S., & Suresh, A. (2018). Predictive big data analytic on demonetization data using support vector machine. Cluster Computing. doi:10.1007/s10586-018-2384-8Kasper, A. (2014). Legal Aspects of CyberSecurity in Emerging Technologies: Smart Grids and Big Data. Regulating eTechnologies in the European Union, 189–216. doi:10.1007/978-3-319-08117-5_10Kitchenham, B., Brereton, O. P., Budgen, D., Turner, M., Bailey, J., & Linkman, S. (2009). Systematic literature reviews in software engineering–a systematic literature review. Information and software technology, 51(1), 7-15.Latif, Z., Lei, W., Latif, S., Pathan, Z. H., Ullah, R., & Jianqiu, Z. (2017). Big data challenges: Prioritizing by decision-making process using Analytic Network Process technique. Multimedia Tools and Applications. doi:10.1007/s11042-017-5161-4Lazar, J., Feng, J. H., & Hochheiser, H. (2017). Online and ubiquitous HCI research. Research Methods in Human Computer Interaction, 411–453. doi:10.1016/b978-0- 12-805390-4.00014-5Lee, U., Han, K., Cho, H., Chung, K.-M., Hong, H., Lee, S.-J., … Carroll, J. M. (2019). Intelligent positive computing with mobile, wearable, and IoT devices: Literature review and research directions. Ad Hoc Networks, 83, 8–24. doi:10.1016/j. adhoc.2018.08.021Moret-Bonillo, V. (2018). Emerging technologies in artificial intelligence: quantum rule-based systems. Progress in Artificial Intelligence, 7(2), 155–166. doi:10.1007/ s13748-017-0140-6Puliafito, A., Mitton, N., Papavassiliou, S., & Trivedi, K. S. (2012). Editorial: Special issue on Internet of Things: convergence of sensing, networking, and web technologies. EURASIP Journal on Wireless Communications and Networking, 2012(1). doi:10.1186/1687-1499-2012-212Salehi, H., & Burgueño, R. (2018). Emerging artificial intelligence methods in structural engineeringSánchez, Á., Barreiro, J. M., & Maojo, V. (2000). Design of virtual reality systems for education: A cognitive approach. Education and information technologies, 5(4), 345-362.Silverio-Fernández, M., Renukappa, S., & Suresh, S. (2018). What is a smart device? - a conceptualisation within the paradigm of the internet of things. Visualization in Engineering, 6(1). doi:10.1186/s40327-018-0063-8Sorrell, S. (2007). Improving the evidence base for energy policy: The role of systematic reviews. Energy Policy, 35(3), 1858–1871. doi:10.1016/j.enpol.2006.06.008Tzafestas, S. G. (Ed.). (1999). Advances in Intelligent Systems. doi:10.1007/978-94-011- 4840-5Vaccaro, A., Pisica, I., Lai, L. L., & Zobaa, A. F. (2019). A review of enabling methodologies for information processing in smart grids. International Journal of Electrical Power & Energy Systems, 107, 516–522. doi:10.1016/j.ijepes.2018.11.034Voronov, A. V. (2007). Methodological aspects of artificial intelligence. Automatic Documentation and Mathematical Linguistics, 41(4), 131–137. doi:10.3103/ s0005105507040012Yamaura, J., & Muench, S. T. (2018). Assessing the impacts of mobile technology on public transportation project inspection. Automation in Construction, 96, 55–64. doi:10.1016/j.autcon.2018.08.021Yousuf, M. I. (2007). Effectiveness of mobile learning in distance educatio Effectiveness of mobile learning in distance education. Turkish Online Journal of Distance Education 8 (4):114-124.Wen, M.-X., Chu, M.-H., Fang, L., & Chen, W.-J. (2016). Realization and Research of Intelligent system of client electricity information based on the Big Data Processing Technology. doi:10.2991/icadme-16.2016.110Zhang, Y., Huang, T., & Bompard, E. F. (2018). Big data analytics in smart grids: a review. Energy Informatics, 1(1). doi:10.1186/s42162-018-0007-5Zseby, T., & Fabini, J. (2014). Security Challenges for Wide Area Monitoring in Smart Grids. e & i Elektrotechnik Und Informationstechnik, 131(3), 105–111. doi:10.1007/ s00502-014-0203-3Analítica de datosInteligencia artificialDispositivos inteligentesSistemas inteligentesTecnología inteligenteTG 2020 ICI 20556Data analyticsIntelligence artificialSmart deviceSmart systemsSmart technologyMapping concept and challenges for smart technologies: a systematic study approachArtículohttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionAtribucióninfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2PublicationORIGINAL2020_Mapping_concept_challenges.pdf2020_Mapping_concept_challenges.pdfTrabajo de 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Mapping concept and challenges for smart technologies: a systematic study approach

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