1,720,959 research outputs found
A camera uncertainty model for collaborative visual sensor network applications
No full textVisual Sensor Networks (VSNs) exploit the processing and communication capabilities of modern smart cameras to handle a variety of applications such as security and surveillance, industrial monitoring, and critical infrastructure protection. The performance of VSNs can be severely degraded because of errors in the detection module. As a result, the performance of the higher-level application such as activity recognition, tracking, etc., also suffers due to the fact that in most cases the decision making process in VSNs assumes ideal detection capabilities for the cameras. Realizing that it is necessary to introduce robustness in the decision process this paper presents results towards uncertainty-aware VSNs. Specifically, we introduce a flexible uncertainty model that can be used to study the behaviour of missed detections in a camera network. We also show how to utilize the model to develop uncertainty-aware coordination and decision making solutions to improve the efficiency of VSNs. Our experimental results in an active vision application indicate that the proposed solution is able to improve the robustness and reliability of VSNs.© ACM 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of ICDSC 2015, http://dx.doi.org/10.1145/2789116.2789130
Christos Kyrkou, Eftychios Christoforou, Theocharis Theocharides, Christos Panayiotou, and Marios Polycarpou. 2015. A camera uncertainty model for collaborative visual sensor network applications. In Proceedings of the 9th International Conference on Distributed Smart Cameras (ICDSC '15). ACM, New York, NY, USA, 86-91. DOI: http://dx.doi.org/10.1145/2789116.2789130
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Towards Improving the Detection Performance in Collaborative Visual Sensor Networks
No full textVisual Sensor Networks (VSNs) exploit the processing and communication capabilities of modern smart cameras to handle a variety of applications such as security and surveillance and critical infrastructure protection. The performance of various tasks in such applications, such as activity recognition, tracking, etc., can be severely affected by the detection module especially when considering low-cost embedded smart cameras with limited processing capabilities. Hence, this paper presents research towards the development of optimization algorithms and decision making solutions to improve the detection performance of such VSNs. Specifically, it introduces a probabilistic detection model that can be used to characterize the detection capabilities of cameras, and shows how it can be used to reconfigure VSNs. Experimental as well as simulation results indicate that the proposed solution is able to effectively improve the robustness and overall detection performance of VSNs.© ACM 2016. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in Proceedings of ICDSC 2016, https://doi.org/10.1145/2967413.2967418
Christos Kyrkou, Stelios Timotheou, Eftychios Christoforou, Theocharis Theocharides, Christos Panayiotou, and Marios Polycarpou. 2016. Towards Improving the Detection Performance in Collaborative Visual Sensor Networks. In Proceedings of the 10th International Conference on Distributed Smart Camera (ICDSC '16). ACM, New York, NY, USA, 8-13. DOI: https://doi.org/10.1145/2967413.2967418
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Going Beyond Counting First Authors in Author Co-citation Analysis
Get PDFThe 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
Get PDF“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
Get PDFWe 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
Get PDFWe 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
koamabayili/VECTRON-author-checklist: VECTRON author checklist
No full textWe have done our best to complete the author checklist relating to the use of animals in the hut study. Note that the objective for the hut study was to evaluate the IRS treatment applications for residual efficacy against Anopheles mosquitoes, including the local An. coluzzii mosquito population. Cows were only used to attract mosquitoes into the huts and no tests were carried out directly on the cows. The author checklist is intended for use with studies where experiments are carried out on animals, which is why we have had such difficulty in completing this for the hut study, as many of the questions do not relate to how the cows were used
Author-wise bibliometric analysis based on entropy.
No full textAuthor-wise bibliometric analysis based on entropy.</p
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