1,721,484 research outputs found
CQI Prediction Through Recurrent Neural Network for UAV Control Information Exchange Under URLLC Regime
No full textUnmanned aerial vehicles (UAVs) control information delivery is a critical communication with stringent requirements in terms of reliability and latency. In this context, link adaptation plays an essential role in the fulfillment of the required performance in terms of decode error probability and delay. Link adaptation is usually based on channel quality indicator (CQI) feedback information from the user equipment that should represent the current state of the channel. However, measurement, scheduling and processing delays introduce a CQI aging effect, that is a mismatch between the current channel state and its CQI representation. Using outdated CQI values may lead to the selection of a wrong modulation and coding scheme, with a detrimental effect on performance. This is particularly relevant in ultra reliable and low latency communications (URLLC), where the control of the reliability can be negatively impacted, and it is more evident when the channel is fast varying as the case of UAVs. This paper analyzes the effects of CQI aging on URLLCs, considering transmissions under the finite blocklength regime, that characterizes such communications type. A deep learning approach is investigated to predict the next CQI from the knowledge of past reports, and performance in terms of decode error probability and throughput is given. The results show the benefit of CQI proposed prediction mechanism also in comparison with previously proposed methods
Preferenze implicite per differenti tipologie di oggetti d'arte, di edifici architettonici e di ambienti
No full textI coefficienti di pressione per gli edifici nelle recenti normative italiane ed internazionali
No full textAnalyses of three native aquatic plant species to assess spatial gradients of lake trace element contamination
No full textA bioaccumulation study was performed on Lake Averno, a volcanic lake close to Naples (southern Italy), to ascertain the degree of trace element contamination. Good information to assess spatial gradients of Cd, Cr, Cu, Fe, Ni, Pb, V and Zn contamination was provided by analysing Phragmites communis roots, Najas marina shoots, Potamogeton pectinatus leaves and surface sediments of Lake Averno collected from July 1999 to July 2000 at three sites in the littoral zone. The highest
concentrations of the trace elements were measured in sediments and plants from the site where a nearby sewage outfall channel reaches the lake, the lowest at the site below woodland. Significant correlations were found between sediment and plant element concentrations. For almost all the elements, values 2–4-fold higher were found for the site affected by the sewage effluent. Among the plant species, Ph. communis is the most useful species in biomonitoring studies due to its ability to
accumulate trace elements in the roots and its collectability throughout the year. Given the absence of systematic water quality monitoring, trace elements in plants, rather than sediments, provide a cost-effective means for assessing trace element accumulation in aquatic systems during plant organ lifespan
L’esperienza dell’arte nel museo. Note psicologiche
No full textIl proporci di esplorare quel tipo particolare di esperienza
dell’arte che si può fare nel contesto del museo, ci consente
di introdurre un concetto che la psicologia, mutuandolo
dalla fisica, trovò utile per descrivere le dinamiche del
funzionamento psichico dell’individuo nel rapporto con
l’ambiente; si tratta del concetto di “campo”. Tra i gestaltisti,
Lewin, in particolare, aveva posto a fulcro della sua
teoria dinamica della condotta il principio che ogni esperienza
umana si costituisce all’interno di relazioni tra fattori,
traendo significato non dalle caratteristiche di singoli
oggetti o condizioni, ma dalla risultante delle loro interconnessioni
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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