1,720,980 research outputs found
Texting and Driving Recognition leveraging the Front Camera of Smartphones
The recognition of the activity of texting while driving is an open problem in literature and it is crucial for the security within the scope of automotive. This can bring to life new insurance policies and increase the overall safety on the roads. Many works in literature leverage smartphone sensors for this purpose, however it is shown that these methods take a considerable amount of time to perform a recognition with sufficient confidence. In this paper we propose to leverage the smartphone front camera to perform an image classification and recognize whether the subject is seated in the driver position or in the passenger position. We first applied standalone Convolutional Neural Networks with poor results, then we focused on object detection-based algorithms to detect the presence and the position of discriminant objects (i.e. the security belts and the car win-dow). We then applied the model over short videos by classifying frame by frame until reaching a satisfactory confidence. Results show that we are able to reach around 90 % accuracy in only few seconds of the video, demonstrating the applicability of our method in the real world
Una proposta di revisione dei questionari per la profilatura della clientela
Il presente lavoro ha come obiettivo principale quello di proporre una revisione
degli attuali questionari con l’obiettivo di farli diventare strumenti
di lavoro utili ed efficaci per gli intermediari e, allo stesso tempo, strumenti
di tutela reale per i risparmiatori. In particolare, nel rispetto della normativa,
si desidera proporre una struttura di questionario che permetta di derivare
il profilo di rischio dei risparmiatori, considerando anche gli aspetti comportamentali
che influiscono sulle loro scelte di investimento. Il valore
aggiunto di questo progetto sta nel voler suggerire il percorso da intraprendere
per trasferire ai questionari gli avanzamenti registrati dalla recente
letteratura economica sia in ambito sperimentale circa le scelte individuali
in condizioni di incertezza sia in ambito finanziario circa gli effetti sulle
scelte di investimento delle distorsioni di natura comportamentale. In
questo senso, il contributo è prevalentemente metodologico, essendo
ovvio che la stesura di un questionario vero e proprio deve necessariamente
dipendere dalle esigenze strategiche degli intermediari interessati, dalla
tipologia della loro clientela e, naturalmente, dal loro mercato di riferimento.
Il lavoro propone sostanzialmente di partire dal concetto economico di
avversione al rischio per arrivare, attraverso una serie di aggiustamenti,
basati sui risultati ottenuti dalla recente letteratura economica e finanziaria,
alla definizione di tolleranza al rischio e alla classificazione degli investitori.
La procedura descritta presenta una serie di questioni aperte che nel corso
dello studio sono messe in evidenza e la cui soluzione pratica è rimandata
al momento di un’eventuale implementazione
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
Universo Latina
Risultati di un'ampia ricerca condotta da un team interdisciplinare della Fondazione Bruno Visentini sui sistemi locali di sviluppo in provincia di Latina, che a suo tempo beneficiò della Casmez, tra i territori aggiunti o cerniera tra tra centronord e sud
Variations on the Author
“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
We provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
We conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
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