Intelligent System for the Management of Resources Dedicated to Humanity
DOI:
https://doi.org/10.14738/tmlai.54.3332Keywords:
Water, Decision-making system, Water ressources, Humanization.Abstract
Our work consists, one way or another, in projecting the light on the intensive need for the reasonable management of water resources. According to the latest studies and statistics, Morocco will soon face a serious crisis if it has not taken the necessary precautions and decisions to deal with the dangers linked to water resources.
The solution we have developed is not costly at the material / financial level, since it does not imply to the client to have a smartphone or an internet connection, but precisely the possession of the client or other members Of his family of a mobile phone of whatever nature. From this we can assume that our solution adopts the communication network technology of mobile phones without imposing exclusivity on a company without others and that will be totally free.
Among the positive results that our work will bring is the creation of an atmosphere of relaxation and satisfaction among the citizens, through continuous communication and interaction with them, to make them more satisfied with the quality of services. Moreover, this solution is one of the policies that call for the preservation of water resources and the restoration of citizens' confidence in drinking water companies, and on the other hand we will contribute to the positif use of Technology and modern means of communication, and the humanization of our information systems.
To conclude, we believe that these ideas will have a favorable influence on all poles, whether citizens, countries or future generations.
References
(1) E.B. Foa & E. Meadows, « Psychosocial treatments for posttraumatic stress disorder: A critical review », Annual Review of Psychology, 48: 449-480, 1997.
(2) S.Bourekkadi, S.Khoulji, M.L.Kerkeb ,A.Mabrouk “psychologie informatique et son impact sur le comportement humain” International Journal of Innovation and Applied Studies, vol. 14 No. 2 Jan. 2016, pp. 543- 548.
(3) KAMATE, M. Z. Etude des troubles psychiatriques chez les emigres dans le service de psychiatrie du chu point «G». 2009.
(4) Sebastiani, F. Machine learning in automated text categorization. ACM computing surveys (CSUR), 34(1), 1-47. 2002.
(5) Howell, D., Bestgen, Y., Yzerbyt, V., & Rogier, M. Méthodes statistiques en sciences humaines. 2008.
(6) Stafford, J., & Bodson, P. L'analyse multivariée avec SPSS. Puq. 2006.
(7) K.Slimani,S.Bourekkadi, R.Messoussi, S.Khoulji, N.Bezad, M.L.Kerkeb “Design of an Awareness System on Sexual and Reproductive Health Based on the Recognition of Emotional Facial Expressions”, International Journal on Recent and Innovation Trends in Computing and Communication (IJRITCC), March 16 Volume 4 Issue 3 , ISSN: 2321-8169, PP: 193 – 196.
(8) Skinner, E. A., & Belmont, M. J. Motivation in the classroom: Reciprocal effects of teacher behavior and student engagement across the school year. Journal of educational psychology, 85(4), 571. 1993.
(9) Day M, Semrad EV. Schizophrenic reactions. In : Nicholi Jr AM (Ed.) The Harvard Guide to Modern Psychiatry. Cambridge, Mass: Belknap Press of Harvard University Press; 1978. p. 199–241.
(10) Goodenow, C. The psychological sense of school membership among adolescents: Scale development and educational correlates. Psychology in the Schools, 30(1), 79-90. 1993.
(11) Kandel, E. R. Un nouveau cadre conceptuel de travail pour la psychiatrie. L'Evolution psychiatrique, 67(1), 12-39. 2002.
(12) Allais, M. La psychologie de l'homme rationnel devant le risque: la théorie et l'expérience. Journal de la Société de Statistique de Paris, 94, 47-73. 1953.
(13) Michel Volle, Analyse des données, Economica, 4e édition, 1997 (ISBN 2717832122)
(14) Kahana RJ. Psychotherapy: models of the essential skill. In : Bibring GL (Ed.) The Teaching of Dynamic Psychiatry : A Reappraisal of the Goals and Techniques in the Teaching of Psychoanalytic Psychiatry. Madison, Conn: International Universities Press; 1968. p. 87–103.
(15) De Castro, L. N., & Timmis, J. Artificial immune systems: a new computational intelligence approach. Springer Science & Business Media. 2002.
(16) Schwartz JH, Kandel ER. Modulation of synaptic transmission: second-messenger systems. In: Kandel ER, Schwartz JH, Jessell TM (Eds.) Essentials of Neural Science and Behavior. East Norwalk, Conn: Appleton & Lange; 1995. p. 243–67.
(17) Giorgio Conti et Carlo Perelli, “Governing tourism monoculture: Mediterranean mass tourism destination and governance networks”, dans Peter M. Burns et Marina Novelli
(dir.), Tourism and Politics. Global Framework and Local Realities,
Elsevier, 2007.
(18) Turban, E., Aronson, J., & Liang, T. P. Decision Support Systems and Intelligent Systems 7 “” Edition (pp. 10-15). Pearson Prentice Hall. 2005.
(19) Roy, N., & Garon, R. Hors thème Étude comparative des logiciels d’aide à l’analyse de données qualitatives: de l’approche automatique à l’approche manuelle. Recherches qualitatives, 154.
(20) Wanlin, P. L’analyse de contenu comme méthode d’analyse qualitative d’entretiens: une comparaison entre les traitements manuels et l’utilisation de logiciels. Recherches qualitatives, 3, 243-272. 2007.
(21) Benzécri, J. P. L'analyse des données (Vol. 2, p. l). Paris: Dunod. 1973.
(22) Tiberghien, G., & Beauvois, J. L. Domination et impérialisme en psychologie. Psychologie française, 53(2), 135-155. 2008.
(23) Bergadaà, M. Le temps et le comportement de l'individu Deuxième partie. Recherche et Applications en Marketing, 4(1), 37-55. 1989.
