1,721,092 research outputs found
Scavi archeologici nel villaggio nuragico di Brunku ‘e s’Omu (Villa Verde, OR). I risultati della campagna di scavo 2015
Aspetti insediativi nel versante orientale del Monte Arci (Oristano – Sardegna) tra il Bronzo medio e la prima età del Ferro
Il presente lavoro intende proporre, attraverso anche l’utilizzo di metodologie d’analisi GIS, spunti di riflessione sul sistema insediativo di età nuragica in una regione ricca di emergenze monumentali di ambito protostorico, corrispondente quasi completamente con il territorio del Comune di Villa Verde, nella provincia di Oristano, ubicato sul versante orientale del Monte Arci (Sardegna centro-occidentale). L’area è caratterizzata da un ambiente collinare e dalla presenza di numerosi corsi d’acqua e sorgenti. L’indagine ha permesso di evidenziare un approccio col territorio da parte delle popolazioni protostoriche, essenzialmente di tipo utilitaristico, cioè una forma di controllo del territorio legato delle risorse naturali ed economiche e delle vie di accesso e di passaggio.The present work intends to propose, through the use of GIS research methods, interesting suggestions on the settlement system of the nuragic age in a region with high density of protohistoric sites, corresponding almost entirely with the communal territory of Villa Verde, in the province of Oristano, situated on the oriental side of the Monte Arci (center-western Sardinia). The area is characterized by an hilly environment and by the presence of many streams and springs. The research has highlighted an approach to the territory by the protohistoric populations basically utilitarian, a form of control of the territory linked to the natural and economic resources and access roads and transit
Possible Regulatory roles of Phytohormones: NADH Oxidation by Peroxidase in the Presence of Inhibitors
Analysis by hplc of ryanodine and dehydroryanodine residues on fruits and in ryania powdery wood
A novel Smart Home Energy Management system: Cooperative neighbourhood and adaptive renewable energy usage
Energy usage optimization in Smart Homes is a
critical problem: over 30% of the energy consumption of the
world resides in the residential sector. Usage awareness and
manual appliance control alone are able to reduce consumption
by 15%. This result could be improved if appliance control is
automatic, especially if renewable sources are present locally.
In this paper, a Smart Home Energy Management system that
aims at automatically controlling appliances in groups of smart
homes belonging to the same neighborhood is proposed. Not
only is electric power distribution considered, but also renewable
energy sources such as wind micro-turbines and solar panels.
The proposed strategy relies on two algorithms. The Cost Saving
Task Scheduling algorithm is aimed at scheduling high-power
controllable loads during off-peak hours, taking into account the
expected usage of the non-controllable appliances such as fridge,
oven, etc. This algorithm is run whenever a new need of energy
from a controllable load is detected. The Renewable Source
Power Allocation algorithm re-allocated the starting time of
controllable loads whenever surplus of renewable source power is
detected making use of a distributed max-consensus negotiation.
Performance evaluation of the algorithms tested proves that the
proposed approach provides an energy cost saving that goes
between 35% and 65% with reference to the case where no
automatic control is used
Studio dell’insediamento protostorico in un’area della Sardegna centro-occidentale tramite strumenti GIS ed analisi multivariate
The authors analyze, as a sample-area, the region that includes the municipality of Mogoro, in central-western Sardinia, with the objective to reconstruct, through the study of the settlements and their relationships, some economic and social aspects of the human groups of nuragic culture that inhabited this area between the 18th and the 8th century BC. The territory is located at the foot of Monte Arci, along the Mogoro river that runs through the southern part of the plain of the Campidano of Oristano. The area has been intensively investigated from the half of the past century; an in-depth stratigraphic investigation was carried out since 1994 near the nuragic site of Cuccurada, the main center of an articulated territorial system including a rich network of monuments related to the nuragic civilization. The results are illustrated through various research methods: GIS, with the application of spatial analysis tools, and multivariate analysis (cluster and principal components analysis) that allowed to set out new hypotheses on occupation and populating dynamics and to identify among pre-historical monuments one or more homogeneous and distinguishable groups, resulting from a database in which geomorphological characteristics are recorded. A hierarchical organization and a specific criterion for exploiting and monitoring the landscape have been developed, in which settlement choices depend on functionality criteria, having nuraghi and villages a key role on the strategic control of the territor
Villaggio nuragico di Brunku ‘e S’Omu – Villa Verde (OR). I risultati della IV campagna di scavi (2016)
Going Beyond Counting First Authors in Author Co-citation Analysis
The 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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