19,932 research outputs found

    Spatial analysis, decision support systems (DSS) and land use design: the case-study of antique viability system in San Martino valley (Lombardy, Italy)

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    This paper concerns the development of a Decision Support System (DSS), which is a system able to support temporal and spatial choices about land use design, in order to project and manage the antique viability system in San Martino valley (located in Lombardy, Italy) The main purpose is providing to a project manager necessary information to help him to understand problems (in particular concerning the spatial system of viability), therefore assists him to analyze the question from different points of view. This process needs a particular informative architecture, based on a complex and relational structured system (DSS) able to produce response for the whole decision process. The DSS is interfaced with a GIS in order to manage cartography and alphanumeric files with geo-referenced data. It works on information which are supposed to be indispensable for the planners of the San Martino valley.

    Prefazione a Le divine gemelle celesti. Sacertà del fuoco centrale e semantica dell'aurora nella religione indoeuropea di Marcello De Martino

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    Il volume di M. De Martino propone una "grammatica" religiosa del fuoco nel mondo religioso dei popoli indoeuropei, esaminando in una prospettiva sistemica il complesso mitico-rituale dall'antichità al folklore contemporane

    Martino, Salvador C.

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    Centro Asturiano membership record of Salvador C. Martino; Socio Number: 121547.https://digitalcommons.usf.edu/asturiano_membership/4119/thumbnail.jp

    MADE IN ITALY - IL DESIGN DEGLI ITALIANI

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    raccolta degli atti del convegno sul design italiano, curato da Tonino Paris. Sono intervenuti autorevoli personaggi del design italiano, che hanno trasferito al pubblico le proprie storie e le personali visioni del futuro. Tra questi: Mario Bellini, Laura Biagiotti, Andrea Branzi, Carlo Colombo, Massimo d'Alessandro, Federica Dal Falco, Philippe Daverio, Loredana Di Lucchio, Carlo Farina, Stefano Giovannoni, Sabrina Lucibello, Enzo Mari, Carlo Martino, Alessandro Mendini, Peppino Ortoleva, Tonino Paris, Vanni Pasca, Andrea Piersanti, Alberto Pratesi e Maurizio Stecco

    COMMISSIONE DI CONCORSO PER L'AMMISSIONE AL XXI CICLO DI DOTTORATO IN: ARTI DESIGN E NUOVE TECNOLOGIE DELLA SAPIENZA

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    C. MARTINO E' STATO MEMBRO ANCHE CON FUNZIONI DI SEGRETARIO DELLA COMMISSIONE DI CONCORSO AL XXI CICLO DEL DOTTORATO DI RICERCA IN "ARTI DESIGN E NUOVE TECNOLOGIE" DEL DIPARTIMENTO ITAC

    Memoirs of San Martino, Italy and History of the San Martino Club in Trail, B.C

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    This paper details the history of Italian immigrants in Trail, their homeland in San Martino, Italy, and the activities that the San Martino Club puts on in Trail. Food, games, and other cultural traditions are described, having been brought over from Italy to Canada, and kept alive in part through the communal effort of the San Martino Club.Student paper submitted for Anthropology 101

    A3ES - Agência de Avaliação e Acreditação do Ensino Superior del Portogallo

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    C. Martino è stato membro esterno del comitato di valutazione e validazione dei corsi di studio di 1°, 2° e 3° livello in Design proposti dalle università portoghesi. L'attività si è svolta a distanza sulla base di una specifica documentazione messa a disposizione dalla commissione

    A fuzzy particle swarm optimization algorithm and its application to hotspot events in spatial analysis

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    A new Extended Fuzzy Particle Swarm Optimization (EFPSO) algorithm is presented and used for the determination of hotspot events in spatial analysis. In previous works (Di Martino et al. in Int J Hybrid Intell Syst 4:1–14, 2007; Di Martino and Sessa in Proceedings VISUAL 2008. LNCS 5188, Springer-Verlag, Berlin, pp. 92–95, 2008; Di Martino and Sessa in Expert Systems with Applications, to appear. doi:10.1016/j.eswa.2011.03.071, 2011) we have shown that the Extended Fuzzy C-Means (EFCM) can be used in the approximation of hotspot areas where the data are events geo-referenced as points on the geographic map and EFCM gives better results with respect to the classical Fuzzy C-Means. Here we compare EFPSO and EFCM, implementing both methods in a Geographic Information System. We apply the two methods to two specific datasets for crime analysis and forest fire point-events showing that EFPSO has the best performance with respect to EFCM
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