Abstract
Documentation and management of underwater cultural heritage are crucial to preserving humankind’s history. This research proposal aims to develop a smart platform that facilitates the conservation and management of underwater cultural heritage, contributing to the generation and transfer of knowledge in the fields of Edge Computing, Intelligent Models and Virtual Organisations.
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Manyika, J., Chui, M., Bisson, P., Woetzel, J., Dobbs, R., Bughin, J., Aharon, D.: The internet of things: mapping the value beyond the hype. McKinsey Global Institute (2015)
Beecham Research: M2M Sector Map. http://beechamresearch.com/. Accessed 12 Jan 2020
European Commission: EU leads the way with ambitious action for cleaner and safer seas. https://ourocean2017.org/eu-leads-way-ambitious-action-cleaner-and-safer-seas. Accessed 07 Jan 2020
European Commission: Horizon 2020 - Smart, Green and Integrated Transport, ec.europa.eu/programmes/horizon2020/en/h2020-section/smart-green-and-integrated-transport. Accessed 07 Jan 2020
Deloitte. https://www2.deloitte.com/tr/en/pages/technology-media-and-telecommunications/articles/internet-of-things-iot-in-shipping-industry.html. Accessed 09 Jan 2020
Lopez, M., Pedraza, J., Carbo, J., Molina, J.M.: The awareness of privacy issues in ambient intelligence. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(2), 71–84 (2014). (ISSN 2255-2863)
Li, T., Sun, S., Corchado, J.M., Siyau, M.F.: A particle dyeing approach for track continuity for the SMC-PHD filter. In: 17th International Conference on Information Fusion (FUSION), pp. 1–8. IEEE, July 2014
Bullon, J., et al.: Manufacturing processes in the textile industry. Expert systems for fabrics production. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 15–23 (2017)
Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: Applying lazy learning algorithms to tackle concept drift in spam filtering. Expert Syst. Appl. 33(1), 36–48 (2007)
de Castro, L.F.S., Alves, G.V., Borges, A.P.: Using trust degree for agents in order to assign spots in a Smart Parking (2017)
Moung, E.: A comparison of the YCBCR color space with gray scale for face recognition for surveillance applications. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 25–33 (2017)
Morente-Molinera, J.A., Kou, G., González-Crespo, R., Corchado, J.M., Herrera-Viedma, E.: Solving multi-criteria group decision making problems under environments with a high number of alternatives using fuzzy ontologies and multi-granular linguistic modelling methods. Knowl.-Based Syst. 137, 54–64 (2017)
Kethareswaran, V., Sankar Ram, C.: An Indian perspective on the adverse impact of Internet of Things (IoT). ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 35–40 (2017)
Li, T., Sun, S., Bolić, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Sig. Process. 119, 115–127 (2016)
Cunha, R., Billa, C., Adamatti, D.: Development of a graphical tool to integrate the prometheus AEOlus methodology and Jason platform. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(2), 57–70 (2017)
Coria, J.A.G., Castellanos-Garzón, J.A., Corchado, J.M.: Intelligent business processes composition based on multi-agent systems. Expert Syst. Appl. 41(4), 1189–1205 (2014)
Siyau, M.F., Li, T., Loo, J.: A novel pilot expansion approach for MIMO channel estimation. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(3), 12–20 (2014). (ISSN 2255-2863)
Tapia, D.I., Fraile, J.A., Rodríguez, S., Alonso, R.S., Corchado, J.M.: Integrating hardware agents into an enhanced multi-agent architecture for ambient intelligence systems. Inf. Sci. 222, 47–65 (2013)
Corchado, J.M., Pavón, J., Corchado, E.S., Castillo, L.F.: Development of CBR-BDI agents: a tourist guide application. In: European Conference on Case-based Reasoning, pp. 547–559. Springer, Heidelberg, August 2004
Lima, A.C.E., de Castro, L.N., Corchado, J.M.: A polarity analysis framework for Twitter messages. Appl. Math. Comput. 270, 756–767 (2015)
Fdez-Riverola, F., Corchado, J.M.: FSfRT: forecasting system for red tides. Appl. Intell. 21(3), 251–264 (2004)
Fdez-Riverola, F., Iglesias, E.L., Díaz, F., Méndez, J.R., Corchado, J.M.: SpamHunting: an instance-based reasoning system for spam labelling and filtering. Decis. Support Syst. 43(3), 722–736 (2007)
Casado-Vara, R., Martin-del Rey, A., Affes, S., Prieto, J., Corchado, J.M.: IoT network slicing on virtual layers of homogeneous data for improved algorithm operation in smart buildings. Future Gener. Comput. Syst. 102, 965–977 (2020)
Baruque, B., Corchado, E., Mata, A., Corchado, J.M.: A forecasting solution to the oil spill problem based on a hybrid intelligent system. Inf. Sci. 180(10), 2029–2043 (2010)
Casado-Vara, R., Prieto, J., De la Prieta, F., Corchado, J.M.: How blockchain improves the supply chain: case study alimentary supply chain. Proc. Comput. Sci. 134, 393–398 (2018)
Corchado, J.M., Aiken, J.: Hybrid artificial intelligence methods in oceanographic forecast models. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 32(4), 307–313 (2002)
González-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors 18(3), 865 (2018)
Díaz, F., Fdez-Riverola, F., Corchado, J.M.: gene-CBR: a case-based reasoning tool for cancer diagnosis using microarray data sets. Comput. Intell. 22(3–4), 254–268 (2006)
Corchado, J.M., Corchado, E.S., Aiken, J., Fyfe, C., Fernandez, F., Gonzalez, M.: Maximum likelihood Hebbian learning based retrieval method for CBR systems. In: International Conference on Case-Based Reasoning, pp. 107–121. Springer, Heidelberg, June 2003
Ribeiro, C., et al.: Customized normalization clustering methodology for consumers with heterogeneous characteristics. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 53–69 (2018)
Guillén, J.H., del Rey, A.M., Casado-Vara, R.: Security countermeasures of a SCIRAS model for Advanced malware propagation. IEEE Access 7, 135472–135478 (2019)
Corchado, J.M., Lees, B.: A hybrid case-based model for forecasting. Appl. Artif. Intell. 15(2), 105–127 (2001)
Pawlewski, P., Kluska, K.: Modeling and simulation of bus assembling process using DES/ABS approach. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(1), 59–72 (2017). (ISSN 2255-2863)
Silveira, R.A., Lunardi Comarella, R., Lima Rocha Campos, R., Vian, J., De La Prieta, F.: Learning objects recommendation system: issues and approaches for retrieving, indexing and recommend learning objects. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(4), 69–81 (2015). (ISSN 2255-2863)
Fernández-Riverola, F., Diaz, F., Corchado, J.M.: Reducing the memory size of a fuzzy case-based reasoning system applying rough set techniques. IEEE Trans. Syst. Man Cybern. Part C (Appl. Rev.) 37(1), 138–146 (2006)
Tapia, D.I., Corchado, J.M.: An ambient intelligence based multi-agent system for Alzheimer health care. Int. J. Ambient Comput. Intell. (IJACI) 1(1), 15–26 (2009)
Gómez, J., Alamán, X., Montoro, G., Torrado, J.C., Plaza, A.: AmICog – mobile technologies to assist people with cognitive disabilities in the workplace. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(4), 9–17 (2013). (ISSN 2255-2863)
Corchado, J.M., Fyfe, C.: Unsupervised neural method for temperature forecasting. Artif. Intell. Eng. 13(4), 351–357 (1999)
Mendez, J.R., Fdez-Riverola, F., Diaz, F., Iglesias, E.L., Corchado, J.M.: A comparative performance study of feature selection methods for the anti-spam filtering domain. In: Industrial Conference on Data Mining, pp. 106–120. Springer, Heidelberg, July 2006
Aranda Serna, F.J., Belda Iniesta, J.: The delimitation of freedom of speech on the Internet: the confrontation of rights and digital censorship. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(1), 5–12 (2018)
Mata, A., Corchado, J.M.: Forecasting the probability of finding oil slicks using a CBR system. Expert Syst. Appl. 36(4), 8239–8246 (2009)
Chamoso, P., González-Briones, A., Rodríguez, S., Corchado, J.M.: Tendencies of technologies and platforms in smart cities: a state-of-the-art review. Wirel. Commun. Mob. Comput. 2018, 1–18 (2018)
Glez-Bedia, M., Corchado, J.M., Corchado, E.S., Fyfe, C.: Analytical model for constructing deliberative agents. Eng. Intell. Syst. Electr. Eng. Commun. 10(3), 173–185 (2002)
Fyfe, C., Corchado, J.M.: Automating the construction of CBR systems using kernel methods. Int. J. Intell. Syst. 16(4), 571–586 (2001)
Choon, Y.W., Mohamad, M.S., Deris, S., Illias, R.M., Chong, C.K., Chai, L.E., Omatu, S., Corchado, J.M.: Differential bees flux balance analysis with OptKnock for in silico microbial strains optimization. PloS One 9(7), 1–13 (2014)
Li, T., Sun, S., Corchado, J.M., Siyau, M.F.: A particle dyeing approach for track continuity for the SMC-PHD filter. In: 17th International Conference on Information Fusion (FUSION), pp. 1–8. IEEE, July 2014
Martín del Rey, A., Casado Vara, R., Hernández Serrano, D.: Reversibility of symmetric linear cellular automata with radius r = 3. Mathematics 7(9), 816 (2019)
Casado-Vara, R., Novais, P., Gil, A.B., Prieto, J., Corchado, J.M.: Distributed continuous-time fault estimation control for multiple devices in IoT networks. IEEE Access 7, 11972–11984 (2019)
Espinosa Vera, J.S.: Human rights in the ethical protection of youth in social networks-the case of Colombia and Peru. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 71–79 (2017)
Casado-Vara, R., Chamoso, P., De la Prieta, F., Prieto, J., Corchado, J.M.: Non-linear adaptive closed-loop control system for improved efficiency in IoT-blockchain management. Inf. Fusion 49, 227–239 (2019)
Farias, G.P., et al.: Predicting plan failure by monitoring action sequences and duration. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(4), 55–69 (2017)
Van Haare Heijmeijer, A., Vaz Alves, G.: Development of a middleware between SUMO simulation tool and JaCaMo framework. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 5–15 (2018)
Durik, B.O.: Organisational metamodel for large-scale multi-agent systems: first steps towards modelling organisation dynamics. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(3), 17–27 (2017). (ISSN 2255-2863)
da Glaeser, S.S., et al.: Modeling of circadian rhythm under influence of pain: an approach based on multi-agent simulation. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(2), 17–25 (2018)
Srivastava, V., Purwar, R.: An extension of local mesh peak valley edge-based feature descriptor for image retrieval in bio-medical images. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 7(1), 77–89 (2018)
Silveira, R., Da Bitencourt, G.K.D.S., Gelaim, T.Â., Marchi, J., De La Prieta, F.: Towards a model of open and reliable cognitive multiagent systems: dealing with trust and emotions. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(3) (2015). (ISSN 2255-2863)
González, C., Burguillo, J.C., Llamas, M., Laza, R.: Designing intelligent tutoring systems: a personalization strategy using case-based reasoning and multi-agent systems. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 2(1), 41–53 (2013). (ISSN 2255-2863)
Ayala, D., Roldán, J.C., Ruiz, D., Gallego, F.O.: An approach for discovering keywords from Spanish tweets using Wikipedia. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(2), 73–88 (2015). (ISSN 2255-2863)
del Rey, Á.M., Batista, F.K., Dios, A.Q.: Malware propagation in Wireless Sensor Networks: global models vs individual-based models. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(3), 5–15 (2017). (ISSN 2255-2863)
Cooper, V.N., Haddad, H.M., Shahriar, H.: Android malware detection using Kullback-Leibler divergence. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(2), 1–8 (2014). (ISSN 2255-2863)
Kamaruddin, S.B.A., Ghanib, N.A.Md., Liong, C.-Y., Jemain, A.A.: Firearm classification using neural networks on ring of firing pin impression images. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 1(3), 27–35 (2012). (ISSN 2255-2863)
Castellanos Garzón, J.A., Ramos González, J.: A gene selection approach based on clustering for classification tasks in colon cancer. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 4(3) (2015). (ISSN 2255-2863)
Ueno, M., Mori, N., Matsumoto, K.: Picture models for 2-scene comics creating system. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 3(2), 53–64 (2014). (ISSN 2255-2863)
Farias, G.P., Pereira, R.F., Hilgert, L.W., Meneguzzi, F., Vieira, R., Bordini, R.H.: Predicting plan failure by monitoring action sequences and duration. ADCAIJ: Adv. Distrib. Comput. Artif. Intell. J. 6(2), 55–69 (2017). (ISSN 2255-2863)
TECTONIC. https://www.tectonicproject.eu/. Accessed 01 Mar 2020
Acknowledgments
This research has been supported by the project “Technological Consortium TO develop sustainability of underwater Cultural heritage (TECTONIC)”, financed by the European Union (Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 873132).
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Plaza-Hernández, M. (2021). An Intelligent Platform for the Management of Underwater Cultural Heritage. In: Rodríguez González, S., et al. Distributed Computing and Artificial Intelligence, Special Sessions, 17th International Conference. DCAI 2020. Advances in Intelligent Systems and Computing, vol 1242. Springer, Cham. https://doi.org/10.1007/978-3-030-53829-3_24
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