-
1Academic Journal
المؤلفون: Blandón Andrade, Juan Carlos, Castaño Gil, Kenpo Erickson, Tibaquirá Giraldo, Juan Esteban
المصدر: Revista Científica Ingeniería y Desarrollo.; Vol. 40 No. 2 (2022): Julio-Diciembre; 166-186 ; Revista Científica Ingeniería y Desarrollo; Vol. 40 Núm. 2 (2022): Julio-Diciembre; 166-186 ; 2145-9371 ; 0122-3461
مصطلحات موضوعية: Energy diversification, vehicle fleet, software engineering, JavaScript language, environmental, diversificación energética, flota vehicular, ingeniería de software, lenguaje JavaScript, medio ambiente
وصف الملف: application/pdf
-
2Academic Journal
المؤلفون: Blandón Andrade, Juan Carlos
المصدر: Entre ciencia e ingeniería; Vol 16 No 31 (2022); 7-8 ; Entre Ciencia e Ingeniería; Vol. 16 Núm. 31 (2022); 7-8 ; Entre ciencia e ingeniería; v. 16 n. 31 (2022); 7-8 ; 2539-4169 ; 1909-8367
وصف الملف: application/pdf
-
3Academic Journal
المصدر: Computación y Sistemas v.25 n.4 2021
مصطلحات موضوعية: Automated ontology population, GATE-JAPE patterns, information extraction, natural language processing, ontologies
وصف الملف: text/html
-
4Report
المؤلفون: TORO LAZO, ALONSO, Blandón Andrade, Juan Carlos
Relation: https://doi.org/10.5281/zenodo.12811091; https://doi.org/10.5281/zenodo.12811092; oai:zenodo.org:12811092
-
5Report
المؤلفون: TORO LAZO, ALONSO, Blandón Andrade, Juan Carlos
Relation: https://doi.org/10.5281/zenodo.12811033; https://doi.org/10.5281/zenodo.12811034; oai:zenodo.org:12811034
-
6Report
المؤلفون: TORO LAZO, ALONSO, Blandón Andrade, Juan Carlos
Relation: https://doi.org/10.5281/zenodo.12811113; https://doi.org/10.5281/zenodo.12811114; oai:zenodo.org:12811114
-
7Academic Journal
المؤلفون: Blandon Andrade, Juan Carlos
المصدر: Entre ciencia e ingeniería; Vol 14 No 27 (2020); 19-28 ; Entre Ciencia e Ingeniería; Vol. 14 Núm. 27 (2020); 19-28 ; Entre ciencia e ingeniería; v. 14 n. 27 (2020); 19-28 ; 2539-4169 ; 1909-8367
وصف الملف: application/pdf; application/xml
Relation: https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1740/1692; https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1740/2570; https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/1740
-
8Electronic Resource
مصطلحات الفهرس: Trabajo de grado - Maestría
URL:
https://hdl.handle.net/11059/14892 https://repositorio.utp.edu.co/home
Abduljabbar, W. K., Tomah, S. A., & Ali, A. A. (2018). Term Extraction for a Single & Multi word Based on Islamic Corpus English. 2018 1st Annual International Conference on Information and Sciences (AiCIS), 107–111. https://doi.org/10.1109/AiCIS.2018.00031
Abdullah, M. A., Al-Hadhrami, T., Tan, C. W., & Yatim, A. H. (2018). Towards Green Energy for Smart Cities: Particle Swarm Optimization Based MPPT Approach. IEEE Access, 6, 58427–58438. https://doi.org/10.1109/ACCESS.2018.2874525
Ablimit, M., Parhat, S., Hamdulla, A., & Zheng, T. F. (2018). Multilingual Stemming and Term extraction for Uyghur, Kazak and Kirghiz. 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 587–590. https://doi.org/10.23919/APSIPA.2018.8659698
Afrizal, A. D., Rakhmawati, N. A., & Tjahyanto, A. (2019). New Filtering Scheme Based on Term Weighting to Improve Object Based Opinion Mining on Tourism Product Reviews. Procedia Computer Science, 161, 805–812. https://doi.org/10.1016/j.procs.2019.11.186
Ahad, M. A., Paiva, S., Tripathi, G., & Feroz, N. (2020). Enabling technologies and sustainable smart cities. Sustainable Cities and Society, 61. https://doi.org/10.1016/j.scs.2020.102301
Ali, A. A., & Saad, S. (2016). Term extraction and hierarchy induction method based on islamic dictionary. 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP), 113–117. https://doi.org/10.1109/INFRKM.2016.7806345
Aly, M., Khomh, F., Guéhéneuc, Y., Washizaki, H., & Yacout, S. (2019). Is Fragmentation a Threat to the Success of the Internet of Things? IEEE Internet of Things Journal, 6(1), 472–487. https://doi.org/10.1109/JIOT.2018.2863180
Andersen, G. (2022). Utilising heterogeneous language resources for term extraction in maritime domains. Terminology, 28(1), 1–36. https://doi.org/10.1075/term.20024.and
Anh Khoa, T., Quang Minh, N., Hai Son, H., Nguyen Dang Khoa, C., Ngoc Tan, D., VanDung, N., Hoang Nam, N., Ngoc Minh Duc, D., & Trung Tin, N. (2021). Wireless sensor networks and machine learning meet climate change prediction. International Journal of Communication Systems, 34(3). https://doi.org/10.1002/dac.4687
Arora, C., Sabetzadeh, M., Briand, L., & Zimmer, F. (2017). Automated Extraction and Clustering of Requirements Glossary Terms. IEEE Transactions on Software Engineering, 43(10), 918–945. https://doi.org/10.1109/TSE.2016.2635134
Astrakhantsev, N. A., Fedorenko, D. G., & Turdakov, D. Yu. (2015). Methods for automatic term recognition in domain-specific text collections: A survey. Programming and Computer Software, 41(6), 336–349. https://doi.org/10.1134/S036176881506002X
AygÜn, İ., & Kaya, M. (2020). Automatic Term Extraction on Turkish Scientific Texts. 2020 International Conference on Decision Aid Sciences and Application (DASA), 1037–1040. https://doi.org/10.1109/DASA51403.2020.9317125
Babar, M. A., & Zhang, H. (2009). Systematic literature reviews in software engineering: Preliminary results from interviews with researchers. 2009 3rd International Symposium on Empirical Software Engineering and Measurement, 346–355. https://doi.org/10.1109/ESEM.2009.5314235
Bakar, N. H., Kasirun, Z. M., & Salleh, N. (2015). Terms Extractions: An Approach for Requirements Reuse. 2015 2nd International Conference on Information Science and Security (ICISS), 1–4. https://doi.org/10.1109/ICISSEC.2015.7371034
Bakaric, M. B., Babic, N., & Matetic, M. (2021). Application-based Evaluation of Automatic Terminology Extraction. International Journal of Advanced Computer Science and Applications, 12(1), 18–27. https://doi.org/10.14569/IJACSA.2021.0120103
Balachandran, K., & Ranathunga, S. (2016). Domain-Specific Term Extraction for Concept Identification in Ontology Construction. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 34–41. https://doi.org/10.1109/WI.2016.0016
Barbosa, O., & Alves, C. (2011). A Systematic Mapping Study on Software Ecosystems. 12.
Barenkamp, M., Schoenke, J., Zarvic, N., & Thomas, O. (2019). IoT Best Practices: Fallstricke bei der Realisierung von (Industrial) Internet of Things (IIoT)-Projekten frühzeitig erkennen und adressieren. HMD Praxis der Wirtschaftsinformatik, 56(6), 1157–1177. https://doi.org/10.1365/s40702-019-00559-w
Barón Salazar, A. A. (2019). Modelo para la definición unificada de la práctica como constructo Teórico en ingeniería de software [PH.D. dissertation, Universidad Nacional de Colombia]. https://repositorio.unal.edu.co/handle/unal/76404
Barrón Cedeño, L. A. (2007). Extracción automática de términos en contextos definitorios [MSc Thesis]. UNAM-Facultad de Ingeniería
Baskararajah, J., Zhang, L., & Miranskyy, A. (2021). Term interrelations and trends in software engineering. Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 1471–1474. https://doi.org/10.1145/3468264.3473132
Bauer, M., Bui, N., De Loof, J., Magerkurth, C., Nettsträter, A., Stefa, J., & Walewski, J. W. (2013). IoT Reference Model. En A. Bassi, M. Bauer, M. Fiedler, T. Kramp, R. van Kranenburg, S. Lange, & S. Meissner (Eds.), Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model (pp. 113–162). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40403-0_7
Bawany, N. Z., Shamsi, J. A., & Salah, K. (2017). DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions. Arabian Journal for Science and Engineering, 42(2), 425–441. https://doi.org/10.1007/s13369-017-2414-5
Bay, M., Bruneß, D., Herold, M., Schulze, C., Guckert, M., & Minor, M. (2020). Term Extraction from Medical Documents Using Word Embeddings. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 328–333. https://doi.org/10.1109/CiSt49399.2021.9357263
Bellman, C., & Oorschot, P. C. van. (2020). Best Practices for IoT Security: What Does That Even Mean? CoRR, abs/2004.12179. https://arxiv.org/abs/2004.12179
Beltramen, A. (2018). Prototipado rápido de proyectos IoT sin programación. XXI Concurso de Trabajos Estudiantiles (EST) - JAIIO 47 (CABA, 2018), 174–182. http://sedici.unlp.edu.ar/handle/10915/71753
Beltrán, O. A. (2005). Revisiones sistemáticas de la literatura. Revista colombiana de gastroenterología, 20(1), 60–69.
Benabdallah, A., Abderrahim, M. A., & Abderrahim, M. E.-A. (2017). Extraction of terms and semantic relationships from Arabic texts for automatic construction of an ontology.
Benkhelifa, E., Welsh, T., & Hamouda, W. (2018). A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Toward Universal and Resilient Systems. IEEE Communications Surveys & Tutorials, 20(4), 3496–3509. https://doi.org/10.1109/COMST.2018.2844742
Bhatia, K., Mishra, S., & Sharma, A. (2020). Clustering Glossary Terms Extracted from Large Sized Software Requirements using FastText. Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference, 1–11. https://doi.org/10.1145/3385032.3385039
Blandón Andrade, J. C. (2022). Aplicaciones del Procesamiento de Lenguaje Natural. Entre Ciencia e Ingeniería, 16(31), Art. 31.
Blandón, J. C. (2020). Tendencias en ciencias de la computación. Entre Ciencia e Ingeniería, 14(27), 19–28. https://doi.org/10.31908/19098367.1740
Boonchieng, E., Chieochan, O., & Saokaew, A. (2018). Smart farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a lingzhi mushroom farm in Thailand. IEICE Transactions on Communications, E101.B(1), 16–23. https://doi.org/10.1587/transcom.2017ITI0002
Bordoloi, M., Chatterjee, P. C., Biswas, S. K., & Purkayastha, B. (2020). Keyword extraction using supervised cumulative TextRank. Multimedia Tools and Applications, 79(41), 31467–31496. https://doi.org/10.1007/s11042-020-09335-1
Budgen, D., & Brereton, P. (2006). Performing Systematic Literature Reviews in Software Engineering. Proceedings of the 28th International Conference on Software Engineering, 1051–1052. https://doi.org/10.1145/1134285.1134500
Bugeja, J., Jacobsson, A., & Davidsson, P. (2020, octubre). Is your home becoming a spy?: A data-centered analysis and classification of smart connected home systems. IoT 2020 - 10th International Conference on the Internet of Things. https://doi.org/10.1145/3410992.3411012
Celaya-Echarri, M., Froiz-Miguez, I., Azpilicueta, L., Fraga-Lamas, P., Lopez-Iturri, P., Falcone, F., & Fernandez-Carames, T. M. (2020). Building Decentralized Fog Computing-Based Smart Parking Systems: From Deterministic Propagation Modeling to Practical Deployment. IEEE Access, 8, 117666–117688. https://doi.org/10.1109/ACCESS.2020.3004745
Celesti, A., Fazio, M., Galan Marquez, F., Glikson, A., Mauwa, H., Bagula, A., Celesti, F., & Villari, M. (2019). How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt. Journal of Sensor and Actuator Networks, 8(1), 7. https://doi.org/10.3390/jsan8010007
Çetinyokuş, S., Çalışkan, E., Aksakal, E., & Çetinyokuş, T. (2020). Group decision making for hazard analysis and consequence modelling software selection with ahp. Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 39(3), 303–318.
Chalabi, M., Mohamed, H., & Mukhtar, M. (2021). The Validation Of An e-voting Adoption Model using Focus Group. 2021 International Conference on Electrical Engineering and Informatics (ICEEI), 1–6. https://doi.org/10.1109/ICEEI52609.2021.9611134
Chang, Z., & Lv, X. (2018). Term Extraction in Chinese Patent Claim. 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 1994– 1997. https://doi.org/10.1109/IAEAC.2018.8577562
Chatfield, A. T., & Reddick, C. G. (2019). A framework for Internet of Things-enabled smart government: A case of IoT cybersecurity policies and use cases in U.S. federal government. Government Information Quarterly, 36(2), 346–357. https://doi.org/10.1016/j.giq.2018.09.007
Chatterjee, N., & Kaushik, N. (2020). Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques. Computer Science. https://doi.org/10.48550/arXiv.2009.11796
Chen, G., Jiang, T., Wang, M., Tang, X., & Ji, W. (2020). Modeling and reasoning of IoT architecture in semantic ontology dimension. Computer Communications, 153, 580–594. https://doi.org/10.1016/j.comcom.2020.02.006
Clark, A., Fox, C., & Lappin, S. (2010). The handbook of computational linguistics and natural language processing. John Wiley & Sons.
Costa, B., Pires, P. F., & Delicato, F. C. (2016). Modeling IoT Applications with SysML4IoT. 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 157–164. https://doi.org/10.1109/SEAA.2016.19
Cram, D., & Daille, B. (2016). TermSuite: Terminology extraction with term variant detection. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations, 13–18. http://ezproxy.utp.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true &db=edselc&AN=edselc.2-52.0-85016486509&site=eds-live
da Silva Conrado, M., Felippo, A. D., Salgueiro Pardo, T. A., & Rezende, S. O. (2014). A survey of automatic term extraction for Brazilian Portuguese. Journal of the Brazilian Computer Society, 20(1), 12. https://doi.org/10.1186/1678-4804-20-12
Deraman, A. B., & Salman, F. A. (2019). Managing usability evaluation practices in agile development environments. International Journal of Electrical and Computer Engineering, 9(2), 1288.
Dilts, B., & Sun, K. (2023). Software de diagramación en línea y solución visual. Lucidchart. https://www.lucidchart.com/pages/es
Dingman, A., Russo, G., Osterholt, G., Uffelman, T., & Camp, L. J. (2018). Poster Abstract: Good Advice That Just Doesn’t Help. 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), 289–291. https://doi.org/10.1109/IoTDI.2018.00044
Dong, Y., Li, W., & Yu, H. (2016). Intelligence Extraction Method of Domain Terms for Chinese Web Documents Based on Hierarchical Combination Strategy. 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 225–228. https://doi.org/10.1109/ICITBS.2016.57
Du, L., Li, X., & Lin, D. (2016). Chinese term extraction from web pages based on expected point-wise mutual information. 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 1647–1651. https://doi.org/10.1109/FSKD.2016.7603424
Durango, C., Amariles, M., Giraldo, J., Zapata, C., Díaz, C., & Zapata, C. (2015). Representación en el núcleo de Semat de las competencias de Ingeniería Social necesarias para mejorar la Seguridad Informática. Proceedings of the Latin American Software Engineering Symposium, 41–56.
Durango Vanegas, C. E., & Zapata Jaramillo, C. M. (2015). Una representación basada en Semat y RUP para el Método de Desarrollo SIG del Instituto Geográfico Agustín Codazzi | Ingenierías USBMed. Ingenierías USBMed, 6(1). https://doi.org/10.21500/20275846.1721
Ebert, C., & Paasivaara, M. (2017). Scaling Agile. IEEE Software, 34(6), 98–103. https://doi.org/10.1109/MS.2017.4121226
Ethan, Daphne, C., Stanley, M., Augustine, V., Anggreainy, M. S., & Setiawan, A. S. (2022). Developing an Application to Recommend Major Based on Personality Test using Waterfall Method. 2022 5th International Conference of Computer and Informatics Engineering (IC2IE), 220–224. https://doi.org/10.1109/IC2IE56416.2022.9970189
Fahmideh, M., & Zowghi, D. (2020). An exploration of IoT platform development. Information Systems, 87. https://doi.org/10.1016/j.is.2019.06.005
Fkih, F., & Omri, M. N. (2020). Hidden data states-based complex terminology extraction from textual web data model. Applied Intelligence, 50(6), 1813–1831. https://doi.org/10.1007/s10489-019-01568-4
Frakes, W. B., Kulczycki, G., & Tilley, J. (2014). A Comparison of Methods for Automatic Term Extraction for Domain Analysis. En I. Schaefer & I. Stamelos (Eds.), Software Reuse for Dynamic Systems in the Cloud and Beyond (pp. 269–281). Springer International Publishing
Froiz-Míguez, I., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2018). Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes. Sensors, 18(8). https://doi.org/10.3390/s18082660
Gaizauskas, R., Paramita, M. L., Barker, E., Pinnis, M., Aker, A., & Pahisa Sole, M. (2015). Extracting bilingual terms from the Web. Terminology, 21(2), 205–236. https://doi.org/10.1075/term.21.2.04gai
Gamboa, J. O. A. (2017). Bases de datos y calidad de las revistas científicas: La aportación de Latindex. ESPACIO I+D: Innovación más Desarrollo, VI(13), 8–28. https://doi.org/10.31644/IMASD.13.2017.a01
Ganguly, P. (2016). Selecting the right IoT cloud platform. 2016 International Conference on Internet of Things and Applications (IOTA), 316–320. https://doi.org/10.1109/IOTA.2016.7562744
Ganzha, M., Paprzycki, M., Paw\textbackslashlowski, W., Szmeja, P., & Wasielewska, K. (2017). Towards Common Vocabulary for IoT Ecosystems—Preliminary Considerations. En N. T. Nguyen, S. Tojo, L. M. Nguyen, & B. Trawiński (Eds.), Intelligent Information and Database Systems (pp. 35–45). Springer International Publishing. https://doi.org/10.1007/978-3-319-54472-4_4
Gelbukh, A. (2010). Procesamiento de lenguaje natural y sus aplicaciones. Komputer Sapiens, 1, 6–11.
Gelbukh, A., Sidorov, G., Lavin-Villa, E., & Chanona-Hernandez, L. (2010). Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus. En C. J. Hopfe, Y. Rezgui, E. Métais, A. Preece, & H. Li (Eds.), Natural Language Processing and Information Systems (pp. 248–255). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-13881-2_26
Gemkow, T., Conzelmann, M., Hartig, K., & Vogelsang, A. (2018). Automatic Glossary Term Extraction from Large-Scale Requirements Specifications. 2018 IEEE 26th International Requirements Engineering Conference (RE), 412–417. https://doi.org/10.1109/RE.2018.00052
Ghazzawi, N. ( 1 ), Robichaud, B. ( 1 ), Drouin, P. ( 1 ), & Sadat, F. ( 2 ). (2017). Automatic extraction of specialized verbal units A comparative study on Arabic, English and French. Terminology, 23(2), 207–237. https://doi.org/10.1075/term.00002.gha
Giannakopoulos, A., Musat, C., Hossmann, A., & Baeriswyl, M. (2017). Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 180–188. https://doi.org/10.48550/arXiv.1709.05094
Giray, G., Tekinerdogan, B., & Tüzün, E. (2017). Adopting the Essence Framework to Derive a Practice Library for the Development of IoT Systems. En Z. Mahmood (Ed.), Connected Environments for the Internet of Things: Challenges and Solutions (pp. 151–168). Springer International Publishing. https://doi.org/10.1007/978-3-319-70102-8_8
Glauber, R., & Claro, D. B. (2018). A systematic mapping study on open information extraction. Expert Systems with Applications, 112, 372–387. https://doi.org/10.1016/j.eswa.2018.06.046
Gonçalves, C., Silva, J. F., & Cunha, J. C. (2015). A Parallel Algorithm for Statistical Multiword Term Extraction from Very Large Corpora. 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 219–224. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.72
González García, A. J. (2017). IoT: Dispositivos, tecnologías de transporte y aplicaciones [M.S. thesis, Universitat Oberta de Catalunya]. http://openaccess.uoc.edu/webapps/o2/handle/10609/64286
Google Scholar. (s/f). Data Mining & Analysis—Google Scholar Metrics. Data Mining & Analysis - Google Scholar Metrics. Recuperado el 13 de mayo de 2022, de https://scholar.google.es/citations?view_op=top_venues&hl=en&vq=eng_datamininganal ysis
Goutte, C., & Gaussier, E. (2005). A Probabilistic Interpretation of Precision, Recall and F Score, with Implication for Evaluation. En D. E. Losada & J. M. Fernández-Luna (Eds.), Advances in Information Retrieval (pp. 345–359). Springer Berlin Heidelberg.
Guan, A., Wang, Y., & Yang, L. (2016). Automatic term extraction for Chinese opera domain ontology. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, 1372–1376. https://doi.org/10.1109/FSKD.2015.7382144
Guan, Y., Li, H., & Xu, W. (2021). A Traditional Chinese Medicine Terminology Recognition Model Based on Deep Learning: A TCM Terminology Recognition Model. 2021 6th International Conference on Big Data and Computing, 15–20. https://doi.org/10.1145/3469968.3469971
Guo, R., Qiu, J., & Zhang, G. (2015). Web-Based Chinese Term Extraction in the Field of Study. 2015 11th International Conference on Semantics, Knowledge and Grids (SKG), 133– 139. https://doi.org/10.1109/SKG.2015.45
Gyrard, A., Serrano, M., & Atemezing, G. A. (2015). Semantic web methodologies, best practices and ontology engineering applied to Internet of Things. 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 412–417. https://doi.org/10.1109/WF IoT.2015.738909
HaddadPajouh, H., Dehghantanha, A., Parizi, R. M., Aledhari, M., & Karimipour, H. (2021). A survey on internet of things security: Requirements, challenges, and solutions. Internet of Things, 14. https://doi.org/10.1016/j.iot.2019.100129
Hamui-Sutton, A., & Varela-Ruiz, M. (2013). La técnica de grupos focales. Investigación en educación médica, 2(5), 55–60.
Haque, R., Penkale, S., & Way, A. (2018). TermFinder: Log-likelihood comparison and phrase based statistical machine translation models for bilingual terminology extraction. Language Resources and Evaluation, 52(2), 365–400. https://doi.org/10.1007/s10579- 018-9412-4
Hasso, H., Großer, K., Aymaz, I., Geppert, H., & Jürjens, J. (2022). Abbreviation-Expansion Pair Detection for Glossary Term Extraction. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13216 LNCS, 63–78. https://doi.org/10.1007/978-3-030-98464-9_6
Hatzivasilis, G., Soultatos, O., Ioannidis, S., Verikoukis, C., Demetriou, G., & Tsatsoulis, C. (2019). Review of Security and Privacy for the Internet of Medical Things (IoMT). 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 457–464. https://doi.org/10.1109/DCOSS.2019.00091 -
9Academic Journal
مصطلحات موضوعية: Simulación, Rendimiento, Redes de sensores inalámbricos, Nodos, Métodos de optimización, Enrutamiento, Control de error, Conectividad, Cobertura, Algoritmos Bioinspirados, Connectivity, Coverage, Nodes, Optimization methods, Routing, Swarm algorithms, Simulation, Wireless sensor networks, Conectividade, Simulação, Performance, Redes de sensores sem fio, Nós, Error control, Métodos de otimização, Roteamento, Controle de erros
Time: Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí
وصف الملف: application/pdf; 8 páginas
Relation: 137; 24; 130; 12; Blandón, J. C., López, J. A., & Tobón, L. E. (julio -diciembre, 2018). Enrutamiento en redes de sensores inalámbricos usando algoritmos bioinspirados. Entre Ciencia e Ingeniería, 12(24), 130-137. DOI: http://dx.doi.org/10.31908/19098367.3823; Entre ciencia e ingeniería; [1] I. Mohammad y M. Imad, Handbook of Sensor Networks:Compact Wireless and Wired Sensing Systems, London: CRC Press Boca Raton, 2004.; [2] I. Akyildiz y M. Can Vuran, Wireless Sensor Nerworks, United Kingdom: Wiley, 2010.; [3] O. H. Mondragon Martínez y Z. M. Solarte Ataíza, «Architecture for the Creation of Ubiquitous Services Devoted to Health,» Entre Ciencia e Ingeniería. vol. 5, nº 10, pp. 9-23, 2011.; [4] N. Aakvaag y J. Frey, «Redes de sensores inalámbricos,» Revista ABB, vol. 4, nº 2, pp. 39--42, 2006.; [5] H. M. Ahmad Fahmy, Wireless Sensor Networks, Singapure: Springer, 2016.; [6] D. Rocha, D. A. Lopez Sarmiento y E. Gómez Vargas, «Los sistemas Bioinspirados y su enfoque en lasolución de necesidades en la Ingeniería,» REDES DE INGENIERIA, vol. 1, nº 2, pp. 22-29, 2012.; [7] M. Gong, L. Pan, T. Song y T. Zhang, Bio-inspired Computing – Theories and Applications, Singapore: Springer Singapore, 2016.; [8] E. Bonabeau, M. Dorigo y G. Theraulaz, Swarm Intelligence: From Natural to Artificial Systems, New York: JASSS, 1999.; [9] M. Lopez-Ibanez y T. Stutzle, «The Automatic Design of Multiobjective Ant Colony Optimization Algorithms,» IEEE Transactions on Evolutionary Computation, vol. 16, nº 6, pp. 861-875, 2012.; [10] M. Dorigo y T. Stützle, Ant Colony Optimization, United States: Massachusetts Institute of Technology, 2004.; [11] W. Alfonso, M. Muñoz, J. Lopez y E. Caicedo, «Optimización de funciones inspirada en el comportamiento de búsqueda de néctar en abejas,» de Memorias del Congreso Internacional de Inteligencia Computacional (CIIC2007), Cali, 2007.; [12] M. Paone, L. Paladina, D. Bruneo y A. Puliafito, «A Swarm-based Routing Protocol for Wireless Sensor Networks,» de Network Computing and Applications, 2007. NCA 2007. Sixth IEEE International Symposium on, United States, 2007.; [13] J. Chen, R. Lin, Y. Li y Y. Sun, «LQER: A Link Quality Estimation based Routing for Wireless Sensor Networks,» Sensors, vol. 8, nº 2, pp. 1025-1038., 2008.; [14] N. Latiff, C. Tsimenidis y B. Sharif, «Energy-Aware Clustering for Wireless Sensor Networks using Particle Swarm Optimization,» de Personal, Indoor and Mobile Radio Communications, 2007. PIMRC 2007. IEEE 18th International Symposium on, United States, 2007.; [15] C. Beltrán y C. Franco, «Wireless Sensor Networks,» Bit, vol. 2, nº 165, pp. 61-64, 2007.; [16] R. Hidalgo y J. Moreno, «Routing Design in Wireless Sensor Networks and a Solution for Healthcare Environment,» IEEE Latin Am. Trans, vol. 9, nº 1, pp. 353-359, 2011.; [17] I. Akyildiz, W. Su, Y. Sankarasubramaniam y E. Cayirci, «Wireless sensor networks: a survey,» Computer networks, vol. 38, nº 4, pp. 393-422, 2002.; [18] A. Mainwaring, D. Culler, J. Polastre, R. Szewczyk y J. Anderson, «Wireless sensor networks for habitat monitoring,» de Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications, New York, 2002.; [19] A. Kaur y K. Guneet, «Enhanced ECC Algorithm for Energy Efficient Code,» 2017 4th International Conference on Signal Processing and Integrated Networks (SPIN), pp. 459-462, 2017.; [20] J. Aguilar y A. Labrador, «Un Algoritmo de enrutamiento Distribuído para redes de comunicación basado en sistemas de hormigas,» IEEE Latin America Transactions, vol. 5, nº 8, pp. 616-625, December 2007.; [21] J. C. Blandón y J. A. López, «Bio-Route: un simulador para redes de sensores inalámbricos,» Revista Educación en Ingeniería, vol. 7, nº 3, pp. 23-31, 2012.; [22] J. T. Serna, REDES DE SENSORES INALÁMBRICAS, Valencia España: Biblioteca Universitat de Valencia, 2007.; [23] Crossbow, Wireless Sensor Networks, San Jose, California: Crossbow Technology. Inc, 2007; 2539-4169 (en línea); 1909-8367 (Impresa); http://hdl.handle.net/10614/11438
الاتاحة: http://hdl.handle.net/10614/11438
-
10Academic Journal
مصطلحات موضوعية: Redes de sensores inalámbricos, Enrutamiento, Software para pedagogía, Wireless sensor networks, Routing, Education software
Time: Universidad Autónoma de Occidente. Calle 25 115-85. Km 2 vía Cali-Jamundí
وصف الملف: application/pdf; 9 páginas
Relation: Revista Educación en Ingeniería. 7(13), (junio 15 de 2012); p.p. 23-31; 31; 13; 23; López Sotelo, J. A., Blandón Andrade, J. C. (2012). Bio-Route: un simulador para redes de sensores inalámbricos. Revista Educación en Ingeniería. 7(13), 23-31. http://red.uao.edu.co//handle/10614/12089; Revista Educación en Ingeniería; Akyildiz, I. F., Su, W., Sankarasubramaniam, Y. & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer Networks Journal, 38(4), 393-422; González, Asencio, Núñez, Arturo M., & Pascual G., Javier. (2009). Diseño de un simulador para redes de sensores. Madrid, España: Facultad de Informática, Universidad Complutense de Madrid.; Chio Cho, N., Tibaduiza B., Diego, Aparicio Z., Laura y Caro O., Luis M. (2009). Redes de Sensores Inalámbricos. II Congreso Internacional de Ingeniería Mecatrónica, Universidad Autónoma de Bucaramanga, Bucaramanga, Colombia.; Eriksson, J., Dunkels, A., Finne, N., Österlind, F.,Voigt, T. & Tsiftes, N. (2008). Demo abstract: Mspsim - an extensible simulator for msp430-equipped sensor boards. In Proceedings of the 5th European Conference on Wireless Sensor Networks (EWSN 2008), Bologna, Italy; García de Jalón, J. (2000). Aprenda Java como si estuviera en primero. San Sebastian, España: Escuela Superior de Ingenieros Industriales, Universidad de Navarra; García de Jalón, J., Rodriguez, J. I., Vidal, J. (2005). Aprenda Matlab 7.0 como si estuviera en primero. Madrid, España: Escuela Técnica Superior de Ingenieros Industriales, Universidad Politécnica de Madrid.; García, E. M., Serna, M. Á., Bermúdez, A., y Casado, R. (2009). Simulación de un sistema de apoyo en la extinción de incendios forestales basado en WSN. La Mancha, España: Instituto de Investigación en Informática de Albacete, Departamento de Sistemas Informáticos, Universidad de Castilla; Martín M., F. J., y Graciani D., C. (2008). PHP: Lenguaje de programación. Sevilla, España: Departamento de Ciencias de la Computación e Inteligencia Artificial, Universidad de Sevilla; Mohammad, I., y Imad, M. (2005). Handbook of Sensor Networks:Compact Wireless and Wired Sensing Systems. EUA: CRC Press; Vidal, José. M. (2011). Netlogo For Building Prototype Multiagent Systems. EUA: Departament of Computer Science and Engineering, University of South California; http://red.uao.edu.co//handle/10614/12089
-
11Academic Journal
Alternate Title: Desarrollo de una herramienta computacional para evaluar la diversificación energética de los sistemas de transporte en Colombia.
المؤلفون: BLANDÓN ANDRADE, JUAN CARLOS1 juanc.blandon@ucp.edu.co, CASTAÑO GIL, KENPO ERICKSON castano@ucp.edu.co, TIBAQUIRÁ GIRALDO, JUAN ESTEBAN2 juantiba@utp.edu.co
المصدر: Ingeniería y Desarrollo. jul-dic2022, Vol. 40 Issue 2, p166-186. 21p.
مصطلحات موضوعية: *AUTOMOBILE emissions, *ENVIRONMENTAL engineering, *ZERO emissions vehicles, *AGILE software development, *ENERGY consumption, *SOFTWARE engineering
مصطلحات جغرافية: COLOMBIA
-
12
المصدر: Ingeniería y Desarrollo, Volume: 36, Issue: 1, Pages: 259-284, Published: JUN 2018
مصطلحات موضوعية: Extracción de información, población de ontologías, revisión sistemática de la literatura, machine learning, máquinas de aprendizaje, Information extraction, natural lan- guage processing, ontologies, systematic state- of-the-art review, procesamiento de lenguaje natural, ontologías, ontology population
وصف الملف: text/html
-
13
المصدر: RED: Repositorio Educativo Digital UAO
Universidad Autónoma de Occidente
instacron:Universidad Autónoma de Occidenteمصطلحات موضوعية: Coverage, Nodes, Performance, Métodos de otimização, Error control, Redes de sensores inalámbricos, Swarm algorithms, Simulación, Optimization methods, Routing, Connectivity, Nós, Métodos de optimización, Rendimiento, Conectividad, Roteamento, Wireless sensor networks, Controle de erros, Redes de sensores sem fio, Enrutamiento, Cobertura, Algoritmos Bioinspirados, Nodos, Conectividade, Simulação, Control de error, Simulation
وصف الملف: application/pdf; 8 páginas
-
14Academic Journal
المصدر: Revista Científica Ingeniería y Desarrollo.; Vol. 36 No. 1 (2018): January-June; 259-284 ; Revista Científica Ingeniería y Desarrollo; Vol. 36 Núm. 1 (2018): Enero-Junio; 259-284 ; 2145-9371 ; 0122-3461
وصف الملف: application/pdf; text/html
Relation: https://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/10109/10997; https://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/10109/214421443410; https://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/10109/214421443427; https://rcientificas.uninorte.edu.co/index.php/ingenieria/article/view/10109
-
15Dissertation/ Thesis
المؤلفون: Blandón Andrade, Juan Carlos
المساهمون: Zapata Jaramillo, Carlos Mario
مصطلحات موضوعية: 62 Ingeniería y operaciones afines / Engineering, Web semántica, Ontologías, Población automática de ontologías, Procesamiento de lenguaje natural, Extracción de información, Patrones GATE-JAPE, Semantic web, Ontologies, Automatic ontology population, Natural language processing, information extraction, Gate-Jape patterns
وصف الملف: application/pdf
Relation: Universidad Nacional de Colombia Sede Medellín Facultad de Minas Escuela de Sistemas; Escuela de Sistemas; Blandón Andrade, Juan Carlos (2017) Extracción de instancias de una clase desde textos en lenguaje natural independientes del dominio de aplicación. Doctorado thesis, Universidad Nacional de Colombia - Sede Medellín.; https://repositorio.unal.edu.co/handle/unal/58998; http://bdigital.unal.edu.co/56139/
-
16
المصدر: xxxxx
RED: Repositorio Educativo Digital UAO
Universidad Autónoma de Occidente
instacron:Universidad Autónoma de Occidenteمصطلحات موضوعية: Redes de sensores inalámbricos, Software para pedagogía, Enrutamiento, Education software, Wireless sensor networks, Routing
وصف الملف: application/pdf; 9 páginas
-
17Academic Journal
Alternate Title: A State-of-the-art Review About Ontology Population.
المؤلفون: Blandón Andrade, Juan Carlos1 juanc.blandon@ucp.edu.co, Zapata Jaramillo, Carlos Mario2 cmzapata@unal.edu.co
المصدر: Ingeniería y Desarrollo. ene-jun2018, Vol. 36 Issue 1, p259-284. 26p. 1 Diagram, 4 Charts.
-
18Academic Journal
Alternate Title: Applications of natural language processing.
المؤلفون: Blandón Andrade, Juan Carlos
المصدر: Entre Ciencia e Ingeniería. ene-jun2022, Vol. 16 Issue 31, p7-8. 2p.
مصطلحات موضوعية: *NATURAL language processing, *SENTIMENT analysis, *DATA mining, *COMPUTER systems, *NATURAL languages, *MACHINE translating
-
19Academic Journal
Alternate Title: BIO-ROUTE: A SIMULATOR FOR WIRELESS SENSOR NETWORKS. (English)
المصدر: Revista Educación en Ingeniería; 2012, Issue 13, p23-31, 9p
-
20Dissertation/ Thesis
المؤلفون: Medina Otálvaro, Carlos Mario
المساهمون: Blandón Andrade, Juan Carlos
مصطلحات موضوعية: 000 - Ciencias de la computación, información y obras generales::004 - Procesamiento de datos Ciencia de los computadores, Representación formal, Desarrollo de software, Internet de las cosas (IoT), Buenas prácticas en IoT, Extracción automática de términos, Internet de las cosas
وصف الملف: 159 Páginas; application/pdf
Relation: Abduljabbar, W. K., Tomah, S. A., & Ali, A. A. (2018). Term Extraction for a Single & Multi word Based on Islamic Corpus English. 2018 1st Annual International Conference on Information and Sciences (AiCIS), 107–111. https://doi.org/10.1109/AiCIS.2018.00031; Abdullah, M. A., Al-Hadhrami, T., Tan, C. W., & Yatim, A. H. (2018). Towards Green Energy for Smart Cities: Particle Swarm Optimization Based MPPT Approach. IEEE Access, 6, 58427–58438. https://doi.org/10.1109/ACCESS.2018.2874525; Ablimit, M., Parhat, S., Hamdulla, A., & Zheng, T. F. (2018). Multilingual Stemming and Term extraction for Uyghur, Kazak and Kirghiz. 2018 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC), 587–590. https://doi.org/10.23919/APSIPA.2018.8659698; Afrizal, A. D., Rakhmawati, N. A., & Tjahyanto, A. (2019). New Filtering Scheme Based on Term Weighting to Improve Object Based Opinion Mining on Tourism Product Reviews. Procedia Computer Science, 161, 805–812. https://doi.org/10.1016/j.procs.2019.11.186; Ahad, M. A., Paiva, S., Tripathi, G., & Feroz, N. (2020). Enabling technologies and sustainable smart cities. Sustainable Cities and Society, 61. https://doi.org/10.1016/j.scs.2020.102301; Ali, A. A., & Saad, S. (2016). Term extraction and hierarchy induction method based on islamic dictionary. 2016 Third International Conference on Information Retrieval and Knowledge Management (CAMP), 113–117. https://doi.org/10.1109/INFRKM.2016.7806345; Aly, M., Khomh, F., Guéhéneuc, Y., Washizaki, H., & Yacout, S. (2019). Is Fragmentation a Threat to the Success of the Internet of Things? IEEE Internet of Things Journal, 6(1), 472–487. https://doi.org/10.1109/JIOT.2018.2863180; Andersen, G. (2022). Utilising heterogeneous language resources for term extraction in maritime domains. Terminology, 28(1), 1–36. https://doi.org/10.1075/term.20024.and; Anh Khoa, T., Quang Minh, N., Hai Son, H., Nguyen Dang Khoa, C., Ngoc Tan, D., VanDung, N., Hoang Nam, N., Ngoc Minh Duc, D., & Trung Tin, N. (2021). Wireless sensor networks and machine learning meet climate change prediction. International Journal of Communication Systems, 34(3). https://doi.org/10.1002/dac.4687; Arora, C., Sabetzadeh, M., Briand, L., & Zimmer, F. (2017). Automated Extraction and Clustering of Requirements Glossary Terms. IEEE Transactions on Software Engineering, 43(10), 918–945. https://doi.org/10.1109/TSE.2016.2635134; Astrakhantsev, N. A., Fedorenko, D. G., & Turdakov, D. Yu. (2015). Methods for automatic term recognition in domain-specific text collections: A survey. Programming and Computer Software, 41(6), 336–349. https://doi.org/10.1134/S036176881506002X; AygÜn, İ., & Kaya, M. (2020). Automatic Term Extraction on Turkish Scientific Texts. 2020 International Conference on Decision Aid Sciences and Application (DASA), 1037–1040. https://doi.org/10.1109/DASA51403.2020.9317125; Babar, M. A., & Zhang, H. (2009). Systematic literature reviews in software engineering: Preliminary results from interviews with researchers. 2009 3rd International Symposium on Empirical Software Engineering and Measurement, 346–355. https://doi.org/10.1109/ESEM.2009.5314235; Bakar, N. H., Kasirun, Z. M., & Salleh, N. (2015). Terms Extractions: An Approach for Requirements Reuse. 2015 2nd International Conference on Information Science and Security (ICISS), 1–4. https://doi.org/10.1109/ICISSEC.2015.7371034; Bakaric, M. B., Babic, N., & Matetic, M. (2021). Application-based Evaluation of Automatic Terminology Extraction. International Journal of Advanced Computer Science and Applications, 12(1), 18–27. https://doi.org/10.14569/IJACSA.2021.0120103; Balachandran, K., & Ranathunga, S. (2016). Domain-Specific Term Extraction for Concept Identification in Ontology Construction. 2016 IEEE/WIC/ACM International Conference on Web Intelligence (WI), 34–41. https://doi.org/10.1109/WI.2016.0016; Barbosa, O., & Alves, C. (2011). A Systematic Mapping Study on Software Ecosystems. 12.; Barenkamp, M., Schoenke, J., Zarvic, N., & Thomas, O. (2019). IoT Best Practices: Fallstricke bei der Realisierung von (Industrial) Internet of Things (IIoT)-Projekten frühzeitig erkennen und adressieren. HMD Praxis der Wirtschaftsinformatik, 56(6), 1157–1177. https://doi.org/10.1365/s40702-019-00559-w; Barón Salazar, A. A. (2019). Modelo para la definición unificada de la práctica como constructo Teórico en ingeniería de software [PH.D. dissertation, Universidad Nacional de Colombia]. https://repositorio.unal.edu.co/handle/unal/76404; Barrón Cedeño, L. A. (2007). Extracción automática de términos en contextos definitorios [MSc Thesis]. UNAM-Facultad de Ingeniería; Baskararajah, J., Zhang, L., & Miranskyy, A. (2021). Term interrelations and trends in software engineering. Proceedings of the 29th ACM Joint Meeting on European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 1471–1474. https://doi.org/10.1145/3468264.3473132; Bauer, M., Bui, N., De Loof, J., Magerkurth, C., Nettsträter, A., Stefa, J., & Walewski, J. W. (2013). IoT Reference Model. En A. Bassi, M. Bauer, M. Fiedler, T. Kramp, R. van Kranenburg, S. Lange, & S. Meissner (Eds.), Enabling Things to Talk: Designing IoT solutions with the IoT Architectural Reference Model (pp. 113–162). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-40403-0_7; Bawany, N. Z., Shamsi, J. A., & Salah, K. (2017). DDoS Attack Detection and Mitigation Using SDN: Methods, Practices, and Solutions. Arabian Journal for Science and Engineering, 42(2), 425–441. https://doi.org/10.1007/s13369-017-2414-5; Bay, M., Bruneß, D., Herold, M., Schulze, C., Guckert, M., & Minor, M. (2020). Term Extraction from Medical Documents Using Word Embeddings. 2020 6th IEEE Congress on Information Science and Technology (CiSt), 328–333. https://doi.org/10.1109/CiSt49399.2021.9357263; Bellman, C., & Oorschot, P. C. van. (2020). Best Practices for IoT Security: What Does That Even Mean? CoRR, abs/2004.12179. https://arxiv.org/abs/2004.12179; Beltramen, A. (2018). Prototipado rápido de proyectos IoT sin programación. XXI Concurso de Trabajos Estudiantiles (EST) - JAIIO 47 (CABA, 2018), 174–182. http://sedici.unlp.edu.ar/handle/10915/71753; Beltrán, O. A. (2005). Revisiones sistemáticas de la literatura. Revista colombiana de gastroenterología, 20(1), 60–69.; Benabdallah, A., Abderrahim, M. A., & Abderrahim, M. E.-A. (2017). Extraction of terms and semantic relationships from Arabic texts for automatic construction of an ontology.; Benkhelifa, E., Welsh, T., & Hamouda, W. (2018). A Critical Review of Practices and Challenges in Intrusion Detection Systems for IoT: Toward Universal and Resilient Systems. IEEE Communications Surveys & Tutorials, 20(4), 3496–3509. https://doi.org/10.1109/COMST.2018.2844742; Bhatia, K., Mishra, S., & Sharma, A. (2020). Clustering Glossary Terms Extracted from Large Sized Software Requirements using FastText. Proceedings of the 13th Innovations in Software Engineering Conference on Formerly known as India Software Engineering Conference, 1–11. https://doi.org/10.1145/3385032.3385039; Blandón Andrade, J. C. (2022). Aplicaciones del Procesamiento de Lenguaje Natural. Entre Ciencia e Ingeniería, 16(31), Art. 31.; Blandón, J. C. (2020). Tendencias en ciencias de la computación. Entre Ciencia e Ingeniería, 14(27), 19–28. https://doi.org/10.31908/19098367.1740; Boonchieng, E., Chieochan, O., & Saokaew, A. (2018). Smart farm: Applying the Use of NodeMCU, IOT, NETPIE and LINE API for a lingzhi mushroom farm in Thailand. IEICE Transactions on Communications, E101.B(1), 16–23. https://doi.org/10.1587/transcom.2017ITI0002; Bordoloi, M., Chatterjee, P. C., Biswas, S. K., & Purkayastha, B. (2020). Keyword extraction using supervised cumulative TextRank. Multimedia Tools and Applications, 79(41), 31467–31496. https://doi.org/10.1007/s11042-020-09335-1; Budgen, D., & Brereton, P. (2006). Performing Systematic Literature Reviews in Software Engineering. Proceedings of the 28th International Conference on Software Engineering, 1051–1052. https://doi.org/10.1145/1134285.1134500; Bugeja, J., Jacobsson, A., & Davidsson, P. (2020, octubre). Is your home becoming a spy?: A data-centered analysis and classification of smart connected home systems. IoT 2020 - 10th International Conference on the Internet of Things. https://doi.org/10.1145/3410992.3411012; Celaya-Echarri, M., Froiz-Miguez, I., Azpilicueta, L., Fraga-Lamas, P., Lopez-Iturri, P., Falcone, F., & Fernandez-Carames, T. M. (2020). Building Decentralized Fog Computing-Based Smart Parking Systems: From Deterministic Propagation Modeling to Practical Deployment. IEEE Access, 8, 117666–117688. https://doi.org/10.1109/ACCESS.2020.3004745; Celesti, A., Fazio, M., Galan Marquez, F., Glikson, A., Mauwa, H., Bagula, A., Celesti, F., & Villari, M. (2019). How to Develop IoT Cloud e-Health Systems Based on FIWARE: A Lesson Learnt. Journal of Sensor and Actuator Networks, 8(1), 7. https://doi.org/10.3390/jsan8010007; Çetinyokuş, S., Çalışkan, E., Aksakal, E., & Çetinyokuş, T. (2020). Group decision making for hazard analysis and consequence modelling software selection with ahp. Iranian Journal of Chemistry and Chemical Engineering (IJCCE), 39(3), 303–318.; Chalabi, M., Mohamed, H., & Mukhtar, M. (2021). The Validation Of An e-voting Adoption Model using Focus Group. 2021 International Conference on Electrical Engineering and Informatics (ICEEI), 1–6. https://doi.org/10.1109/ICEEI52609.2021.9611134; Chang, Z., & Lv, X. (2018). Term Extraction in Chinese Patent Claim. 2018 IEEE 3rd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 1994– 1997. https://doi.org/10.1109/IAEAC.2018.8577562; Chatfield, A. T., & Reddick, C. G. (2019). A framework for Internet of Things-enabled smart government: A case of IoT cybersecurity policies and use cases in U.S. federal government. Government Information Quarterly, 36(2), 346–357. https://doi.org/10.1016/j.giq.2018.09.007; Chatterjee, N., & Kaushik, N. (2020). Automatic Extraction of Agriculture Terms from Domain Text: A Survey of Tools and Techniques. Computer Science. https://doi.org/10.48550/arXiv.2009.11796; Chen, G., Jiang, T., Wang, M., Tang, X., & Ji, W. (2020). Modeling and reasoning of IoT architecture in semantic ontology dimension. Computer Communications, 153, 580–594. https://doi.org/10.1016/j.comcom.2020.02.006; Clark, A., Fox, C., & Lappin, S. (2010). The handbook of computational linguistics and natural language processing. John Wiley & Sons.; Costa, B., Pires, P. F., & Delicato, F. C. (2016). Modeling IoT Applications with SysML4IoT. 2016 42th Euromicro Conference on Software Engineering and Advanced Applications (SEAA), 157–164. https://doi.org/10.1109/SEAA.2016.19; Cram, D., & Daille, B. (2016). TermSuite: Terminology extraction with term variant detection. 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - System Demonstrations, 13–18. http://ezproxy.utp.edu.co/login?url=https://search.ebscohost.com/login.aspx?direct=true &db=edselc&AN=edselc.2-52.0-85016486509&site=eds-live; da Silva Conrado, M., Felippo, A. D., Salgueiro Pardo, T. A., & Rezende, S. O. (2014). A survey of automatic term extraction for Brazilian Portuguese. Journal of the Brazilian Computer Society, 20(1), 12. https://doi.org/10.1186/1678-4804-20-12; Deraman, A. B., & Salman, F. A. (2019). Managing usability evaluation practices in agile development environments. International Journal of Electrical and Computer Engineering, 9(2), 1288.; Dilts, B., & Sun, K. (2023). Software de diagramación en línea y solución visual. Lucidchart. https://www.lucidchart.com/pages/es; Dingman, A., Russo, G., Osterholt, G., Uffelman, T., & Camp, L. J. (2018). Poster Abstract: Good Advice That Just Doesn’t Help. 2018 IEEE/ACM Third International Conference on Internet-of-Things Design and Implementation (IoTDI), 289–291. https://doi.org/10.1109/IoTDI.2018.00044; Dong, Y., Li, W., & Yu, H. (2016). Intelligence Extraction Method of Domain Terms for Chinese Web Documents Based on Hierarchical Combination Strategy. 2016 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS), 225–228. https://doi.org/10.1109/ICITBS.2016.57; Du, L., Li, X., & Lin, D. (2016). Chinese term extraction from web pages based on expected point-wise mutual information. 2016 12th International Conference on Natural Computation, Fuzzy Systems and Knowledge Discovery (ICNC-FSKD), 1647–1651. https://doi.org/10.1109/FSKD.2016.7603424; Durango, C., Amariles, M., Giraldo, J., Zapata, C., Díaz, C., & Zapata, C. (2015). Representación en el núcleo de Semat de las competencias de Ingeniería Social necesarias para mejorar la Seguridad Informática. Proceedings of the Latin American Software Engineering Symposium, 41–56.; Durango Vanegas, C. E., & Zapata Jaramillo, C. M. (2015). Una representación basada en Semat y RUP para el Método de Desarrollo SIG del Instituto Geográfico Agustín Codazzi %7C Ingenierías USBMed. Ingenierías USBMed, 6(1). https://doi.org/10.21500/20275846.1721; Ebert, C., & Paasivaara, M. (2017). Scaling Agile. IEEE Software, 34(6), 98–103. https://doi.org/10.1109/MS.2017.4121226; Ethan, Daphne, C., Stanley, M., Augustine, V., Anggreainy, M. S., & Setiawan, A. S. (2022). Developing an Application to Recommend Major Based on Personality Test using Waterfall Method. 2022 5th International Conference of Computer and Informatics Engineering (IC2IE), 220–224. https://doi.org/10.1109/IC2IE56416.2022.9970189; Fahmideh, M., & Zowghi, D. (2020). An exploration of IoT platform development. Information Systems, 87. https://doi.org/10.1016/j.is.2019.06.005; Fkih, F., & Omri, M. N. (2020). Hidden data states-based complex terminology extraction from textual web data model. Applied Intelligence, 50(6), 1813–1831. https://doi.org/10.1007/s10489-019-01568-4; Frakes, W. B., Kulczycki, G., & Tilley, J. (2014). A Comparison of Methods for Automatic Term Extraction for Domain Analysis. En I. Schaefer & I. Stamelos (Eds.), Software Reuse for Dynamic Systems in the Cloud and Beyond (pp. 269–281). Springer International Publishing; Froiz-Míguez, I., Fernández-Caramés, T. M., Fraga-Lamas, P., & Castedo, L. (2018). Design, Implementation and Practical Evaluation of an IoT Home Automation System for Fog Computing Applications Based on MQTT and ZigBee-WiFi Sensor Nodes. Sensors, 18(8). https://doi.org/10.3390/s18082660; Gaizauskas, R., Paramita, M. L., Barker, E., Pinnis, M., Aker, A., & Pahisa Sole, M. (2015). Extracting bilingual terms from the Web. Terminology, 21(2), 205–236. https://doi.org/10.1075/term.21.2.04gai; Gamboa, J. O. A. (2017). Bases de datos y calidad de las revistas científicas: La aportación de Latindex. ESPACIO I+D: Innovación más Desarrollo, VI(13), 8–28. https://doi.org/10.31644/IMASD.13.2017.a01; Ganguly, P. (2016). Selecting the right IoT cloud platform. 2016 International Conference on Internet of Things and Applications (IOTA), 316–320. https://doi.org/10.1109/IOTA.2016.7562744; Ganzha, M., Paprzycki, M., Paw\textbackslashlowski, W., Szmeja, P., & Wasielewska, K. (2017). Towards Common Vocabulary for IoT Ecosystems—Preliminary Considerations. En N. T. Nguyen, S. Tojo, L. M. Nguyen, & B. Trawiński (Eds.), Intelligent Information and Database Systems (pp. 35–45). Springer International Publishing. https://doi.org/10.1007/978-3-319-54472-4_4; Gelbukh, A. (2010). Procesamiento de lenguaje natural y sus aplicaciones. Komputer Sapiens, 1, 6–11.; Gelbukh, A., Sidorov, G., Lavin-Villa, E., & Chanona-Hernandez, L. (2010). Automatic Term Extraction Using Log-Likelihood Based Comparison with General Reference Corpus. En C. J. Hopfe, Y. Rezgui, E. Métais, A. Preece, & H. Li (Eds.), Natural Language Processing and Information Systems (pp. 248–255). Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-642-13881-2_26; Gemkow, T., Conzelmann, M., Hartig, K., & Vogelsang, A. (2018). Automatic Glossary Term Extraction from Large-Scale Requirements Specifications. 2018 IEEE 26th International Requirements Engineering Conference (RE), 412–417. https://doi.org/10.1109/RE.2018.00052; Ghazzawi, N. ( 1 ), Robichaud, B. ( 1 ), Drouin, P. ( 1 ), & Sadat, F. ( 2 ). (2017). Automatic extraction of specialized verbal units A comparative study on Arabic, English and French. Terminology, 23(2), 207–237. https://doi.org/10.1075/term.00002.gha; Giannakopoulos, A., Musat, C., Hossmann, A., & Baeriswyl, M. (2017). Unsupervised Aspect Term Extraction with B-LSTM & CRF using Automatically Labelled Datasets. Proceedings of the 8th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis, 180–188. https://doi.org/10.48550/arXiv.1709.05094; Giray, G., Tekinerdogan, B., & Tüzün, E. (2017). Adopting the Essence Framework to Derive a Practice Library for the Development of IoT Systems. En Z. Mahmood (Ed.), Connected Environments for the Internet of Things: Challenges and Solutions (pp. 151–168). Springer International Publishing. https://doi.org/10.1007/978-3-319-70102-8_8; Glauber, R., & Claro, D. B. (2018). A systematic mapping study on open information extraction. Expert Systems with Applications, 112, 372–387. https://doi.org/10.1016/j.eswa.2018.06.046; Gonçalves, C., Silva, J. F., & Cunha, J. C. (2015). A Parallel Algorithm for Statistical Multiword Term Extraction from Very Large Corpora. 2015 IEEE 17th International Conference on High Performance Computing and Communications, 2015 IEEE 7th International Symposium on Cyberspace Safety and Security, and 2015 IEEE 12th International Conference on Embedded Software and Systems, 219–224. https://doi.org/10.1109/HPCC-CSS-ICESS.2015.72; González García, A. J. (2017). IoT: Dispositivos, tecnologías de transporte y aplicaciones [M.S. thesis, Universitat Oberta de Catalunya]. http://openaccess.uoc.edu/webapps/o2/handle/10609/64286; Google Scholar. (s/f). Data Mining & Analysis—Google Scholar Metrics. Data Mining & Analysis - Google Scholar Metrics. Recuperado el 13 de mayo de 2022, de https://scholar.google.es/citations?view_op=top_venues&hl=en&vq=eng_datamininganal ysis; Goutte, C., & Gaussier, E. (2005). A Probabilistic Interpretation of Precision, Recall and F Score, with Implication for Evaluation. En D. E. Losada & J. M. Fernández-Luna (Eds.), Advances in Information Retrieval (pp. 345–359). Springer Berlin Heidelberg.; Guan, A., Wang, Y., & Yang, L. (2016). Automatic term extraction for Chinese opera domain ontology. 2015 12th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2015, 1372–1376. https://doi.org/10.1109/FSKD.2015.7382144; Guan, Y., Li, H., & Xu, W. (2021). A Traditional Chinese Medicine Terminology Recognition Model Based on Deep Learning: A TCM Terminology Recognition Model. 2021 6th International Conference on Big Data and Computing, 15–20. https://doi.org/10.1145/3469968.3469971; Guo, R., Qiu, J., & Zhang, G. (2015). Web-Based Chinese Term Extraction in the Field of Study. 2015 11th International Conference on Semantics, Knowledge and Grids (SKG), 133– 139. https://doi.org/10.1109/SKG.2015.45; Gyrard, A., Serrano, M., & Atemezing, G. A. (2015). Semantic web methodologies, best practices and ontology engineering applied to Internet of Things. 2015 IEEE 2nd World Forum on Internet of Things (WF-IoT), 412–417. https://doi.org/10.1109/WF IoT.2015.738909; HaddadPajouh, H., Dehghantanha, A., Parizi, R. M., Aledhari, M., & Karimipour, H. (2021). A survey on internet of things security: Requirements, challenges, and solutions. Internet of Things, 14. https://doi.org/10.1016/j.iot.2019.100129; Hamui-Sutton, A., & Varela-Ruiz, M. (2013). La técnica de grupos focales. Investigación en educación médica, 2(5), 55–60.; Haque, R., Penkale, S., & Way, A. (2018). TermFinder: Log-likelihood comparison and phrase based statistical machine translation models for bilingual terminology extraction. Language Resources and Evaluation, 52(2), 365–400. https://doi.org/10.1007/s10579- 018-9412-4; Hasso, H., Großer, K., Aymaz, I., Geppert, H., & Jürjens, J. (2022). Abbreviation-Expansion Pair Detection for Glossary Term Extraction. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 13216 LNCS, 63–78. https://doi.org/10.1007/978-3-030-98464-9_6; Hatzivasilis, G., Soultatos, O., Ioannidis, S., Verikoukis, C., Demetriou, G., & Tsatsoulis, C. (2019). Review of Security and Privacy for the Internet of Medical Things (IoMT). 2019 15th International Conference on Distributed Computing in Sensor Systems (DCOSS), 457–464. https://doi.org/10.1109/DCOSS.2019.00091; Universidad Tecnológica de Pereira; Repositorio Institucional Universidad Tecnológica de Pereira; https://repositorio.utp.edu.co/home; https://hdl.handle.net/11059/14892