1,720,967 research outputs found
Location through proximity in RFID systems
No full textIn this paper we introduce Location Estimation through Proximity Information (LEPI), an algorithm that aims at locating portable RFID readers in areas where active-RFID grids are settled. Location estimation is accomplished through a proximity information, which the reader derives by performing tag interrogation at increasing RF power levels. RFID tags surrounding the reader are incrementally detected and their known positions are eventually averaged, this providing an accurate estimation of the reader location. The performance of the proposed approach is assessed by experimental trials, conducted in indoor environments. They testify both to the actual feasibility of such a solution and to its better accuracy when compared to other reference RFID-based location techniques
Integrating a framework for discovering alternative app stores in a mobile app monitoring platform
No full textNowadays, implementing brand protection strategies has become a necessity for enterprises delivering services through dedicated apps. Increasingly, malicious developers spread unauthorized (fake, malicious, obsolete or deprecated) mobile apps through alternative distribution channels and marketplaces. In this work, we propose a framework for the early detection of these alternative markets advertised through social media such as Twitter or Facebook or hosted in the Dark Web. Specifically, it combines a data modeling approach and an ensemble learning technique, allowing to recommend web pages that are likely to represent alternative marketplaces. The framework has been implemented in a prototype system called Unauthorized App Store Discovery (UASD), and integrated in a security enterprise platform for the monitoring of malicious/unauthorized mobile apps. UASD allows to analyze web pages extracted from the Web and exploits a classification model to distinguish between real app stores and similar pages (i.e. blogs, forums, etc.) which can be erroneously returned by a common search engine. An experimental evaluation on a real dataset confirms the validity of the approach in terms of accuracy
Performance evaluation of active RFID location systems based on RF power measures
No full textIn this paper we provide a general and repeatable experimental evaluation campaign of location algorithms based on RSSI measures for active RFID systems. We start from the well-known LANDMARC approach and conduct a thorough investigation aiming at evaluating its actual potentials and limitations under different environmental conditions. For the sake of completeness, we compare its behavior with the one of a further technique, named RSSI Spatial Interpolation (RSI), which is taken as a representative of a wider family of solutions which also LANDMARC belongs to. Experimental results show that by even introducing some modifications, still both algorithms get poor performance in indoor scenarios; location errors lower than 2m are only attainable in limited size outdoor environments in 90% of the experiments. © 2007 IEEE
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
Valutazione dei fattori di rischio psicologici negli incidenti traumatici in adolescenza
No full textDispelling 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
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