1,721,198 research outputs found
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
A Low-Power VGA Vision Sensor With Embedded Event Detection for Outdoor Edge Applications
We report on a low-power VGA vision sensor embedding event-detection capabilities targeted to battery-powered vision processing at the edge. The sensor relies on an always-on double-threshold dynamic background subtraction (DT-DBS) algorithm. The resulting motion bitmap is de-noised, projected along xy-axes of the array of pixels and filtered to robustly detect moving targets even in noisy outdoor scenarios. The chip operates in motion detection (MD), applied on a QQVGA sub-sampled image, looking for anomalous motion in the scene at 344 μW, and in imaging mode (IM), delivering full-resolution gray-scale images with associated local binary pattern (LBP) coding and motion bitmaps at 8 frames/s and 1.35 mW. The 4-μm pixel vision sensor is manufactured in a 110-nm 1P4M CMOS and occupies 25.4 mm2
A 1.6mW 320×240 pixel vision sensor for event detection
This paper reports on a low-power vision sensor embedding a custom algorithm for event detection. Anomalous or suspicious motions occurring in the scene are isolated from the background by continuously monitoring the time variation of the pixel intensity with respect to two thresholds that are dynamically updated. Pixels whose intensity is out of the range defined by these thresholds are considered as a part of a possibly anomalous activity and they are called hot pixels. The sensor has been fabricated in a 110nm CMOS technology. It delivers gray-scale images in QVGA format and related hot-pixel bitmaps at 15 fps with a power consumption of 1.6mW
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
Live Demostration: Low Power Vision Sensor with Robust Dynamic Background Rejection
Commercial cameras are mainly targeted to visual tasks, where resolutions and image quality are the most important parameters. However, in several applications, such as surveillance and monitoring, they are not very energy efficient. In fact, they continuously acquire images, forcing an external processor to process images in real-time, looking for events to occur in the scene that may rarely or even never happen. This causes the system to process a large amount of data uselessly, burning high power. Embedding low-level image processing on-chip would make the system more efficient, dispatching only salient features, thus reducing data bandwidth and the off- chip burden of computation as well. During this live demonstration, we will present an always-on QVGA (320 x 240 pixels) visual sensor embedding unusual motion detection [1] targeted to surveillance applications. The sensor detects anomalous motion in the scene and dispatches the grey-scale image and related bitmap of event at 15 fps with 1.6mW power consumption. Differently from other sensors relying on frame- difference to detect motion, the presented sensor embeds a two-thresholds dynamic background subtraction algorithm [2], which allows noisy background (such as swaying vegetation and rippling waves) to be suppressed in a more robust way, thus making the sensor to be suitable also for outdoor applications
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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