1,721,025 research outputs found
A Fuzzy Rule-Based GIS Framework to Partition an Urban System Based on Characteristics of Urban Greenery in Relation to the Urban Context
No full textWe present a GIS-based framework implementing a Mamdani fuzzy rule-based system to partition in an unsupervised mode an urban system in urban green areas. The proposed framework is characterized by high usability and flexibility. The study area is partitioned in homogeneous regions regarding the characteristics of public green areas and relations with the residents and buildings. The urban system is initially partitioned in microzones, given the smallest areas in which is taken a census of the urban system in terms of resident population, type and number of buildings and properties, industrial and service activities. During a pre-processing phase, the values of specific indicators defined by a domain expert that characterize the type of urban green and the relationship with the residents and buildings are calculated for each microzone. Subsequently, the fuzzy rule-based system component is executed to classify each microzone based on the fuzzy rule set constructed by the domain expert. Spatially adjoining microzones belonging to the same class are dissolved to form homogeneous areas called Urban Green Contexts. The membership degrees of the microzones to the fuzzy set of their class are used to evaluate the reliability of the classification of the Urban Green Context. We test our framework on the municipality of Pozzuoli (Italy), comparing the results with the ones obtained in a supervised manner by the expert appropriately partitioning and classifying the study area based on his knowledge of the urban study area
GIS-based hierarchical fuzzy multicriteria decision-making method for urban planning
No full textWe present a new GIS-based fuzzy hierarchical MCDA for multiple assessments of land parcels in urban planning. In our model the criteria are decomposed in a hierarchical structure in which the leaf nodes are modelled with trapezoidal and triangular fuzzy sets on the universe of a specific characteristic of the parcel. The fuzzy set of a criterion is constructed as intersection of the fuzzy sets of the subcriteria in next hierarchical level that compose it. This approach has the advantage of managing complex evaluations of land parcels and facilitating the attribution of the degrees with which land parcels meet criteria. The proposed model has been experimented on a study area constituted by the municipality of Pozzuoli (Italy) in which the land parcels are the microzones in which the municipality is divided; we apply our method to assess which microzones are most suitable to increase the accommodation services of public primary school near them. Comparison of the results with expert assessments show that out method turns out to be reliable and consistent with the expert’s evaluations
Do Well to Dwell Well. Awareness as the Driver for the Behaviour of Tomorrow’s Citizens
No full textBecause of the impact of global warming, the Earth’s ecosystems are currently
at a critical stage. The European building sector, and the residential
element in particular, is responsible for the largest portion of energy enduse.
Although we know how to build a perfectly engineered house, it will
not work properly if its inhabitants do not know how to run it. “Well-educated”
dwellers can really improve energy use. The aim of this research is
to optimize the users’ role in the energy reduction process, analysing as a
case study, Dwell!, the monitoring system designed for “RhOME for denCity”,
the housing prototype developed by Roma Tre University and winner
of the “Solar Decathlon Europe” competition in 2014
Fuzzy Transform Image Compression in the YUV Space
Full text linkhis research proposes a new image compression method based on the F1-transform which improves the quality of the reconstructed image without increasing the coding/decoding CPU time. The advantage of compressing color images in the YUV space is due to the fact that while the three bands Red, Green and Blue are equally perceived by the human eye, in YUV space most of the image information perceived by the human eye is contained in the Y band, as opposed to the U and V bands. Using this advantage, we construct a new color image compression algo rithm based on F1-transform in which the image compression is accomplished in the YUV space, so that better-quality compressed images can be obtained without increasing the execution time.
The results of tests performed on a set of color images show that our color image compression method improves the quality of the decoded images with respect to the image compression algorithms JPEG, F1-transform on the RGB color space and F-transform on the YUV color space, regardless of the selected compression rate and with comparable CPU times
A New Geospatial Model Integrating a Fuzzy Rule-Based System in a GIS Platform to Partition a Complex Urban System in Homogeneous Urban Contexts
Full text linkHere, we present a new unsupervised method aimed at obtaining a partition of a complex urbansysteminhomogenousurbanareas,calledurbancontexts.Ourmodelintegratesspatialanalysis processes and a fuzzy rule-based system applied to manage the knowledge of domain experts; it is implemented using a GIS platform. The area of study is initially partitioned in microzones, homogeneous portions of the urban system, which are the atomic reference elements for the census data. With the contribution of domain experts, we identify the physical, morphological, environmental, and socio-economic indicators needed to identify synthetic characteristics of urban contexts and create the fuzzy rule set necessary for determining the type of urban context. We implement the set of spatial analysis processes required to calculate the indicators for the microzones and apply a Mamdani fuzzy rule system to classify the microzones. Finally, the partition of the area of study in urban contexts is obtained by dissolving continuous microzones belonging to the same type of urban context. Tests are performed on the Municipality of Pozzuoli (Naples, Italy); the reliability of the out model is measured by comparing the results with the ones obtained through a detailed analysis
Dal “Sacro Gra” a “La grande bellezza”: la proposta italiana per il Solar Decathlon 2014
No full textDensità, sobrietà e mobilità sostenibile sono le parole chiave della edizione 2014 del Solar Decathlon, che punta a cercare risposte per le città da cui provengono i team delle università selezionate. Una novità di tutto rilievo per la competizione, che passa da proposte per l’abitazione del futuro ai temi più urgenti della rigenerazione urbana per la smart city.
In questo quadro l’Università di Roma TRE ha scelto di occuparsi di Roma, una realtà difficile, in cui convivono preesistenze archeologiche uniche al mondo e fenomeni di illegalità e abusivismo.
Il team RhOME propone con lo slogan “a home for Rome” di risolvere alcuni dei problemi della periferia attraverso il social housing e forme di coworking per i nomadworker di oggi. Soluzioni per il trattamento dei rifiuti, limiti all’uso di tecnologie attive, mobilità per tutti e a basso contenuto di CO2 sono alcuni dei temi che affiancano il recupero dell’agro romano e delle sue preesistenze storiche
Improving the emotion-based classification by exploiting the fuzzy entropy in FCM clustering
Full text linkAbstract Emotion detection in the natural language text has drawn the attention of several scientific communities as well as commercial/marketing companies: analyzing human feelings expressed in the opinions and feedback of web users helps understand general moods and support market strategies for product advertising and market predictions. This paper proposes a framework for emotion-based classification from social streams, such as Twitter, according to Plutchik's wheel of emotions. An entropy-based weighted version of the fuzzy c-means (FCM) clustering algorithm, called EwFCM, to classify the data collected from streams has been proposed, improved by a fuzzy entropy method for the FCM center cluster initialization. Experimental results show that the proposed framework provides high accuracy in the classification of tweets according to Plutchik's primary emotions; moreover, the framework also allows the detection of secondary emotions, which, as defined by Plutchik, are the combination of the primary emotions. Finally, a comparative analysis with a similar fuzzy clustering-based approach for emotion classification shows that EwFCM converges more quickly with better performance in terms of accuracy, precision, and runtime. Finally, a straightforward mapping between the computed clusters and the emotion-based classes allows the assessment of the classification quality, reporting coherent and consistent results
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
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