1,720,952 research outputs found
Leveraging lighting systems with novel color sensor-based applications
No full textLighting systems are attracting many researchers and companies to investigate the potential of light beyond illumination, by creating new smart illumination systems or developing indoor positioning methods. The main challenge in realizing novel systems is to process light information in such a way that new insights are discovered. There are typically two ways to measure and process light: through photodiodes, which are cheap, but offer little information; or through cameras, which offer much information, but are expensive and create privacy issues. There is however a third type of sensor that has not been investigated much in lighting systems: color sensors. Color sensors can be viewed as a middle-of-the-road approach between photodiodes and cameras. Color sensors are inexpensive, yet provide more information than simple photodiodes.This thesis proposes two novel color sensor-based methods to enable (i) a dynamic tunable lighting system and (ii) a light-based indoor tracking system. The former allows retailers to present their merchandise in an appealing way to their customers (by adapting the light in their shops based on the products' colors). The latter makes it possible to track objects by exploiting solely their exterior color (without modulating the light source or requiring objects to carry optical receivers). Our experiments indicate that the methods we propose are able to handle the complex lighting conditions one would encounter in realizing a dynamic tunable lighting system. Furthermore, our results prove that indoor tracking of objects is possible, given that objects are sufficiently distinct in their color. The accuracy of correctly identifying, and thus tracking an object is found to be 91.4%.Electrical Engineerin
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
Variations on the Author
Full text link“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
Full text linkWe 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
Full text linkWe 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
CORRELATION-BASED FACADE PARSING USING SHAPE GRAMMAR
No full textWith strong inference of hierarchical and repetitive structures, semantic information has been widely used in dealing with urban scenes. In this paper, we present a super-pixel-based facade parsing framework which combines the top-down shape grammar splitting with bottom-up information aggregation: machine learning forecasts prior classes, super-pixels improve compactness, and boundary estimation divides the splitting into two procedures raw and fine, providing a reasonable initial guess for the latter to achieve better random-walk optimization results. We also put forward the correlation judging between floors for the purpose of compromising freedom degree reduction with style variety and flexibility, which is also introduced as alignment constraint term to extend the probability energy. Experiments show that our method converges fast and achieves the state-of-the-art results for different styles. Further study on understanding and reconstruction is in progress of exploiting these results.Computer Science, Artificial IntelligenceEICPCI-S(ISTP)
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