301 research outputs found
Stop@: A framework for scalable and noise-resistant stop-move trajectory segmentation
No full text<p>Capturing the mobility behavior of moving entities from their traces is a core theme in mobility data science. Stop@ is a generic framework for the mining of stop-move patterns in trajectories of animals and humans, providing a rich set of functionalities including pre and post processing of stops and parallel processing of large datasets of trajectories collected outdoor and indoor. Applied to several scenarios across animal ecology and visitor studies, and validated against accurate ground truth, the core stop detection method proved to be effective and robust. </p>
<p>Please cite the references below when using this software:</p>
<ul>
<li>Damiani, Maria Luisa, Fatima Hachem, Hamza Issa, Nathan Ranc, Paul Moorcroft, and Francesca Cagnacci. "Cluster-based trajectory segmentation with local noise." Data Mining and Knowledge Discovery 32 (2018): 1017-1055.</li>
<li>Hachem, Fatima, Davide Vecchia, Maria Luisa Damiani, and Gian Pietro Picco. "Fine-grained stop-move detection in UWB-based trajectories." In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 111-118. IEEE, 2022.</li>
</ul>
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<p><em>Acknowlegments:</em></p>
<p><em>This work was supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU-NGEU.</em></p>
Stop@: A framework for scalable and noise-resistant stop-move trajectory segmentation
No full text<p>Capturing the mobility behavior of moving entities from their traces is a core theme in mobility data science. Stop@ is a generic framework for the mining of stop-move patterns in trajectories of animals and humans, providing a rich set of functionalities including pre and post processing of stops and parallel processing of large datasets of trajectories collected outdoor and indoor. Applied to several scenarios across animal ecology and visitor studies, and validated against accurate ground truth, the core stop detection method proved to be effective and robust. </p>
<p>Please cite the references below when using this software:</p>
<ul>
<li>Damiani, Maria Luisa, Fatima Hachem, Hamza Issa, Nathan Ranc, Paul Moorcroft, and Francesca Cagnacci. "Cluster-based trajectory segmentation with local noise." Data Mining and Knowledge Discovery 32 (2018): 1017-1055.</li>
<li>Hachem, Fatima, Davide Vecchia, Maria Luisa Damiani, and Gian Pietro Picco. "Fine-grained stop-move detection in UWB-based trajectories." In 2022 IEEE International Conference on Pervasive Computing and Communications (PerCom), pp. 111-118. IEEE, 2022.</li>
</ul>
<p><em>-----------------</em></p>
<p><em>Acknowlegments:</em></p>
<p><em>This work was supported by the project SERICS (PE00000014) under the NRRP MUR program funded by the EU-NGEU.</em></p>
Approach to Supporting Continuity of Usage in Location-Based Access Control
No full textIn location-based access control systems, the location of subjects is a relevant parameter in access control decisions. Those systems however fail in controlling the location of subjects along the period of use of the objects and this can lead to security breaches. To ensure a stronger protection of objects, a continuous control over the movement of subjectsis thus needed. To address this requirement, we have developed GEO-RBAC_C a location-based access control model supporting continuous usage control capabilities. In the paper,we first present the basic concepts of the model and then discuss how the continuous control can be actually enforced
Towards movement-aware access control
No full textThe objective of spatially-aware access control models is to regulate the access to protected objects based on position information. In that last years, increasing attention has been paid to spatially-aware access control models for mobile and pervasive applications. Following the experience of design of the GEO-RBAC model, in this paper we want to look at those models with a critical eye and point out open conceptual and architectural challenges. In this paper, we first discuss architectural issues related to the development of a multi-domain access control system based on GEO-RBAC. Then we present the guidelines of a novel and space-centric modeling framework which aims at overcoming the conceptual limitations of the present model and similar solutions
Spatial Domains for the Administration of Location-based Access Control Policies
No full textIn the last few years there has been an increasing interest for a novel category of access control models known as location-based or spatially-aware role-based access control (RBAC) models. Those models advance classical RBAC models in that they regulate the access to sensitive resources based on the position of mobile users. An issue that has not yet been investigated is how to administer spatially-aware access control policies. In this paper we introduce GEO-RBAC Admin, the administration model for the location-based GEO-RBAC model. We discuss the concepts underlying such administrative model and present a language for the specification of GEO-RBAC policies
Fine-Grained Cloaking of Sensitive Positions in Location-Sharing Applications
No full textGeosocial networking applications magnify the concern for location privacy because a user\u27s position can be disclosed to diverse untrusted parties. The Privacy Preserving Obfuscation Environment (Probe) framework supports semantic-location cloaking to protect this information
Replication Data for: Cluster-based trajectory segmentation with local noise
No full textA set of 12 synthetic trajectories with annotated behavior for the evaluation of stop-and-move detection method
Replication Data for: Cluster-based trajectory segmentation with local noise
No full textA set of 12 synthetic trajectories with annotated behavior for the evaluation of stop-and-move detection method
Multiculturalismo: propostas de recontextualizações de fatos culturais na tradução de textos em livros didáticos
No full textDissertação (mestrado) - Universidade Federal de Santa Catarina, Centro de Comunicação e Expressão, Programa de Pós-Graduação em Estudos da Tradução, Florianópolis, 2010Esta pesquisa apresenta cinco propostas de recontextualizações de diferentes textos selecionados a partir de livros didáticos de língua espanhola como língua estrangeira. Por essa razão, serão abordados alguns aspectos com relação ao gênero textual analisado, o livro didático. No embasamento teórico será apresentada a teoria funcionalista de Christiane Nord (1991;1997) e alguns aspectos dos estudos de Hans J. Vermeer (1986). É princípio da teoria funcionalista que tradução é comunicação e aqui, neste trabalho também é construída esta ponte, pois os textos apresentados nos livros didáticos devem comunicar expondo a cultura do Outro de forma adequada ao leitor alvo. A maioria dos textos apresentados aqui é composta por diferentes gêneros textuais para serem apresentados no livro didático. Segundo o funcionalismo, quando há mudança de leitor alvo, deve-se fazer uma adaptação textual, segundo o perfil sócio-cultural deste novo leitor
Il contributo dell'High Fidelity Simulation nello sviluppo delle competenze di infermieristica clinica avanzata nel CdL Magistrale in Scienze infermieristiche e ostetriche
No full text- …
