1,721,087 research outputs found
Design characterization and automatic identification of character lines in automotive field
Design style and designer role get a great importance in the success of a new product launched in the marketplace. In particular, in the automotive domain a deep connection arises from the created shapes and the user’s emotional states. For this reason the designer role is commonly considered as twofold, being both a technician and an artist. The methodology proposed in this paper does define a design support tool for the definition of shapes in the automotive sector. This methodology is based on the study of the most relevant character lines. These lines are automatically selected by means of CAD tools and then analysed to identify mathematical relations between such lines and other geometrical features typical of the car. This part of the methodology originates a mathematical definition of the style that is associated to a qualitative definition of the style itself, which is based on data coming from user interviews analysed through statistical tools. Based on mathematical and qualitative definitions, a methodology to connect geometrical and emotional data has been developed. This methodology has been applied to a set of cars showing the results presented in this paper. Cars appearances and the emotional feelings they produce are linked together; some relationships are deduced to create a support tool in the early design phase
Using BCIS (brain computer interfaces) to evaluate emotional perception of passenger cabin design in virtual environments
Cabin interiors design can be considered one of the key enablers to face the societal challenges of future air transport. The cabin is the interface between the aircraft and the passenger and it strongly impacts on the user's experience. The quality of the travelling depends on the quality of the cabin. It could be measured through several and different dimensions, such as passenger's efficiency during and after the flight and the level of comfort that he/she experiences. Therefore, reading or working while flying or feeling restored when leaving the cabin should be the key performance indicators of a comfortable cabin. In this paper we propose an innovative design tool, that is an objective method to measure the affective impact that interior design provokes to passengers, with particular regards to seat design. Such method is based on the use of large virtual environments, coupled with BCIs (Brain Computer Interfaces). We propose a novel and original framework to correlate the BCIs affective scales to a set of comfort indicators. Experimental results are presented and discussed
Le preclusioni
Il saggio esamina le nozioni di preclusione e quella di decadenza sia in generale sia riguardo al ricorrente e al convenuto nel rito del lavoro, il sistema delle preclusioni in relazione alle tardive allegazioni dei fatti nonché gli strumenti di temperamento a regime delle preclusioni delle prove e relativi limiti
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
The face of the poet Dante Alighieri reconstructed by virtual modelling and forensic anthropology techniques
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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