1,721,526 research outputs found
Michael Pellegrino, M. Minucii Felicis Octavius
Aerts José. Michael Pellegrino, M. Minucii Felicis Octavius. In: L'antiquité classique, Tome 20, fasc. 2, 1951. pp. 477-478
Pellegrino (M.) et al Petrus et Paulus Martyres
Meslin Michel. Pellegrino (M.) et al Petrus et Paulus Martyres. In: Archives de sociologie des religions, n°33, 1972. pp. 282-283
Analysis of PV modules based on thin film solar cells by dark measurements technique
The dark measurements technique which were developed to analyze the material properties of solar cells in a PV module and performed either at DC or at AC conditions, can give useful information on the quality of the active material. This technique leads to better understanding the PV module degradation processes, occurring during indoor qualification testing or in real operating conditions. To this purpose an indoor testing laboratory has been set up to detect and monitor the PV modules degradation. A simple technique, based on the analysis of the behaviour of PV devices biased by an AC signal on dark conditions, has been developed to easily and quickly evaluate some parameters like the series, the shunt resistances and the capacitance affecting their electrical characteristics. In the present paper the technique basic concepts will be illustrated. Preliminary experimental results, achieved by applying the technique to some kinds of PV modules based on simple and triple junctiona€TMs silicon amorphous solar cells, will be presented. © 2015 COPYRIGHT SPIE. Downloading of the abstract is permitted for personal use only
Methods and techniques for data quality improvement of (linked) (open) data
Good decisions need good data. Hence, only by exploiting good data it is possible to make effective decisions. The goodness of data is usually related to the task they will be used for. However, it is possible to identify some task-independent quality dimensions which are merely related to the data themselves. In order to improve the intrinsic data quality, we propose a proactive approach. Our goal is to offer data providers (and consumers) a set of methods and techniques to guide them in assessing and improving the quality of data they are interested in. We mainly focus on Linked (Open) Data. Since the published data might also contain personal data, there is the need to make the data set compliant with the General Data Protection Regulation (GDPR). Therefore, besides quality problems, we are also interested in discovering any privacy breach and - if needed - in proposing corrective actions. The final goal is to give data providers the possibility of publishing better data. The proposed approach is pragmatic. Thus, we will not only design but also implement it. We plan to wrap it into a social platform, already used by several public administrations, which enable us to test the applicability of the proposed methods in real settings
Analysis Techniques for Photovoltaic Modules Based on Amorphous Solar Cells
This paper focuses on the description of the analysis techniques of the PV module based on amorphous solar cells under indoor aging tests according to IEC 61646. The goal of this work is the knowledge about the dynamic characteristics of the PV module. The effect of indoor aging on the PV module performances will be also described. For this purpose, a simple technique, based on the analysis of the behavior of PV module biased by an AC signal on dark conditions, has been described and experimented. This technique allows evaluating easily and quickly some parameters such as the series, the parallel resistances and the capacitance affecting the dynamic AC model of the PV module. © 2016, King Fahd University of Petroleum & Minerals
Calibrazione di un modello di infiltrazione per la simulazione in continuo di un bacino urbano
Azione volontaria e organizzazioni di volontariato: l’eredità di Polanyi, tra dono e reciprocità
Paper presentato al Convegno "Il dono e lo Stato: legame interpersonale e sociale" Palermo, 9-10 novembre 201
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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