1,720,996 research outputs found
SIT DI SUPPORTO ALLE DECISIONI: LA GESTIONE DEI RIFIUTI NELLA REGIONE TOSCANA,
No full textLa Regione Toscana nella nuova Legge sul Governo del Territorio (lgr n. 1/2005) sancisce l’obbligo di effettuare la valutazione integrata degli effetti ambientali, territoriali, economici, sanitari e sociali. Uno degli aspetti più importanti e delicati dell’attività di valutazione è il coordinamento degli enti territorialmente competenti nelle fasi di“raccolta” e di “trattamento” delle informazioni. In relazione al sistema rifiuti i problemi emergenti sono legati principalmente ai seguenti aspetti: la pianificazione del servizio a livello provinciale, richiede una disponibilità di informazione strutturata, aggiornata e aggiornabile facilmente, che gli enti gestori non sono in grado di fornire al necessario livello di dettaglio;i SIT specifici costruiti a livello comunale, si rivelano difficilmente utilizzabili ai fini della pianificazione provinciale, data l’assenza di protocolli comuni e di procedure che garantiscano l’unicità del dato e la sua utilizzabilità a scale diverse.
Alla luce di ciò questo lavoro ha il fine di sviluppare un SIT di supporto alla programmazione e al coordinamento della gestione del servizio, che consenta di utilizzare codifiche e protocolli comuni, di implementare tecnologie sofisticate per la stima delle variabili mancanti e degli indicatori, ed, infine, di costituire la strumento mediante il quale le amministrazioni comunali possano interagire attivamente con tutti gli utenti del servizio
Implementation of Artificial Intelligence Tools (KDD and MCA) to Support the Solid Waste Management Service in Tuscany: a Case Study
No full textThis work is part of a wider research project concerning waste system management, aimed to build a methodology able to support both planning and coordination and to provide some operative cues for integration of knowledge on waste system at the various territorial levels.
The specific aim of this work is related to the individuation and quantification of Indicators of efficiency in the field of recyclable waste collection, that can be shared by local Autorithies and Service Managers in order both to develop the recyclable waste collection system and to increase the recyclable collected quantities of waste.
To reach this aim, the study will test advanced model derived from Artificial Intelligence, able to extract the relations existing between the values assumed by the previously quoted Indicators, measuring the efficiency of recyclable-waste collection in a certain territory, and demographic and economic characteristics of population in the same territory.
Once the previously quoted rules have been validated, they can be applied on data related to census areas (the smaller areas for which statistical data are available, containing a very small number of resident people, variable from 0 to 1000), in order to estimate, within each area, the values of recyclable-waste collection Indicators for different product categories.
Extracted knowledge appears to be very useful for supporting both service managers in individuating sensitization policy, and local and territorial Autorithies in waste system planning at different territorial level
Implementation of Artificial Intelligence tools to support the solid waste management service
No full text
IMPLEMENTATION OF ARTIFICIAL INTELLIGENCE TOOLS TO SUPPORT THE SOLID WASTE MANAGEMENT SERVICE. A CASE STUDY IN TUSCANY
No full textThis work aims to develop decision support methodologies and tools related to management and control of “urban solid waste” system.
Moreover, the specific aim is related to the individuation of some parameters useful for the construction of a provincial territorial information system able to:
become a supplier of real time updated data and the starting point for the individuation of codes, parameters and protocols that can be shared by local authorities and service managers;
become a tool able to create an active interaction between local authorities and consumers
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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