1,721,094 research outputs found
A Distributed Surveillance System for Detection of Abandoned Objects in Unmanned Railway Environments
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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
Tachipnea termica nel maiale
No full textIn anaesthetised and tracheotomised pig, the reflex of panting has been evaluated. The thermal tachypnea showed two phases: initially respiratory frequency increases likely to body temperature but at 41,4 degrees C is observed apnea. When temperature rose above 42 degrees C the respiratory frequency further increased the changes in blood CO2, O2 and pH were not significant. During apnea is present a slight alkalosis
Video-sorveglianza automatica in ambiente ferroviario.Tecniche innovative di trasmissione ed elaborazione dell'informazione multimediale
No full textA Neural Network-based Image Processing System for Detection of Vandal Acts in Unmanned Railway Environments
No full textLately, the interest in advanced video-based surveillance applications has been increasing. This is especially true in the field of urban railway transport where video-based surveillance can be exploited to face many relevant security aspects (e.g. vandalism, overcrowding, abandoned object detection etc.). This paper aims at investigating an open problem in the implementation of video-based surveillance systems for transport applications, i.e., the implementation of reliable image understanding modules in order to recognize dangerous situations with reduced false alarm and misdetection rates. We considered the use of a neural network-based classifier for detecting vandal behavior in metro stations. The achieved results show that the classifier achieves very good performance even in the presence of high scene complexit
Studio di fattibilità di un sistema di video-sorveglianza di stazioni ferroviarie non presenziate operante in modalità remota
No full textNon-Gaussian characterization of DS/CDMA noise in few user systems with complex signature sequences
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