Abstract
Domestic violence is a common problem in society. This type of violence can be understood as a behaviour pattern in the form of physical and/or sexual abuse, threats, coercion, intimidation, isolation, emotional or economic abuse exercised in the field of family life against any member who forms its nucleus. Currently, numerous efforts have been made to mitigate this type of violence, on a social, legal, technological or any other level. However, this is a problem that is difficult to control due to the diversity of ways in which this pattern of behavior can be expressed and the large number of repeat offenders. In this context, it is necessary to take advantage of the benefits that technology brings to detect this type of problem early and take corrective action in time. Based on the above, this work proposes the development of a system supported by intelligent services to detect cases of violence in homes with a history of violence. The experimental results obtained from the implementation of the case study show that the incorporation of intelligent services into early domestic violence prevention systems can help to control cases of recidivism and take corrective action in advance, thus mitigating the consequences and in many cases helping to save lives.
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References
Carrillo Calderón, M.E.: Agentes virtuales con capacidades cognitivas utilizando IBM Watson (Bachelor’s thesis) (2017)
Bluemix, IBM. https://console.bluemix.net/catalog/?cm_mc_uid=78357560092315264828722&cm_mc_sid_50200000=92669401526482872261&cm_mc_sid_52640000=92175901526482872266. Accessed 10 2018
Fernandes, F., Gomes, L., Morais, H., Silva, M., Vale, Z., Corchado, J.M.: Dynamic energy management method with demand response interaction applied in an office building. In: de la Prieta, F., et al. (eds.) Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. AISC, vol. 473, pp. 69–82. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40159-1_6
Dang, N.C., De la Prieta, F., Corchado, J.M., Moreno, M.N.: Framework for retrieving relevant contents related to fashion from online social network data. In: Omatu, S., et al. (eds.) Trends in Practical Applications of Scalable Multi-Agent Systems, the PAAMS Collection. AISC, vol. 473, pp. 335–347. Springer, Cham (2016). https://doi.org/10.1007/978-3-319-40159-1_28
Chamoso, P., De la Prieta, F., De Paz, F., Corchado, J.M.: Swarm agent-based architecture suitable for internet of things and smartcities. In: Omatu, S., et al. (eds.) Distributed Computing and Artificial Intelligence, 12th International Conference. AISC, vol. 373, pp. 21–29. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19638-1_3
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)
González-Briones, A., Chamoso, P., Yoe, H., Corchado, J.M.: GreenVMAS: virtual organization based platform for heating greenhouses using waste energy from power plants. Sensors 18(3), 861 (2018)
Casado-Vara, R., Prieto-Castrillo, F., Corchado, J.M.: A game theory approach for cooperative control to improve data quality and false data detection in WSN. Int. J. Robust Nonlinear Control 28(16), 5087–5102 (2018)
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)
Li, T., Sun, S., Bolić, M., Corchado, J.M.: Algorithm design for parallel implementation of the SMC-PHD filter. Signal Process. 119, 115–127 (2016). https://doi.org/10.1016/j.sigpro.2015.07.013
Chamoso, P., Rodríguez, S., de la Prieta, F., Bajo, J.: Classification of retinal vessels using a collaborative agent-based architecture. AI Commun. 31(5), 427–444 (2018). Preprint
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, 17 (2018)
Gonzalez-Briones, A., Prieto, J., De La Prieta, F., Herrera-Viedma, E., Corchado, J.M.: Energy optimization using a case-based reasoning strategy. Sensors (Basel) 18(3), 865 (2018). https://doi.org/10.3390/s18030865
Gonzalez-Briones, A., Chamoso, P., De La Prieta, F., Demazeau, Y., Corchado, J.M.: Agreement technologies for energy optimization at home. Sensors (Basel) 18(5), 1633 (2018). https://doi.org/10.3390/s18051633
Gazafroudi, A.S., Corchado, J.M., Kean, A., Soroudi, A.: Decentralized flexibility management for electric vehicles. IET Renew. Power Gener. (2019). http://ietdl.org/t/IBgIPb
Gazafroudi, A.S., Soares, J., Ghazvini, M.A.F., Pinto, T., Vale, Z., Corchado, J.M.: Stochastic interval-based optimal offering model for residential energy management systems by household owners. Int. J. Electr. Power Energy Syst. 105, 201–219 (2019)
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
Bremer, J., Lehnhoff, S.: Decentralized coalition formation with agent-based combinatorial heuristics. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 6(3), 29–44 (2017). ISSN: 2255-2863
Munera, E., Poza-Lujan, J.-L., Posadas-Yagüe, J.-L., Simó-Ten, J.-E., Blanes, F.: Integrating smart resources in ROS-based systems to distribute services. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 6(1), 13–19 (2017). ISSN: 2255-2863
Omatu, S., Wada, T., Rodríguez, S., Chamoso, P., Corchado, J.M.: Multi-agent technology to perform odor classification. In: Ramos, C., Novais, P., Nihan, C.E., Corchado Rodríguez, J.M. (eds.) Ambient Intelligence - Software and Applications. AISC, vol. 291, pp. 241–252. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07596-9_27
Román, J.A., Rodríguez, S., Corchado, J.M.: Improving intelligent systems: specialization. In: Corchado, J.M., et al. (eds.) PAAMS 2014. CCIS, vol. 430, pp. 378–385. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-07767-3_34
Oliver, M., Molina, J.P., Fernández-Caballero, A., González, P.: Collaborative computer-assisted cognitive rehabilitation system. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 6(3), 57–74 (2017)
Griol, D., Molina, J.M.: Simulating heterogeneous user behaviors to interact with conversational interfaces. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 5(4), 59–69 (2016)
Desquesnes, G., Lozenguez, G., Doniec, A., Duviella, E.: Planning large systems with MDPs: case study of inland waterways supervision. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J. 5(4), 71–84 (2016)
Griol, D., Molina, K.: Measuring the differences between human-human and human-machine dialogs. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J.4(2), 99–112 (2015)
Alvarado-Pérez, J.C., Peluffo-Ordóñez, D.H., Therón, R.: Bridging the gap between human knowledge and machine learning. ADCAIJ Adv. Distrib. Comput. Artif. Intell. J.4(1), 54–64 (2015)
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Chimeno, S.G. et al. (2020). Domestic Violence Prevention System. In: Omatu, S., Mohamad, M., Novais, P., Díaz-Plaza Sanz, E., García Coria, J. (eds) Distributed Computing and Artificial Intelligence, Special Sessions II, 15th International Conference. DCAI 2018. Advances in Intelligent Systems and Computing, vol 802. Springer, Cham. https://doi.org/10.1007/978-3-030-00524-5_3
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