Adaptive video streaming in lossy networks: versions or layers?

This paper tackles low delay adaptive video streaming over error-prone networks. Our framework consists of an encoding station, an edge server and a set of clients with various access rates. The edge server is capable of performing simple error concealment operations on the incoming data before forwarding the adapted media to its clients. We study two encoding scenarios: versions (multiple encodings at various output rates) and layers. We develop a unified end-to-end distortion model, which we use to derive the optimal coding strategy for both scenarios. Finally we analyze the performance of MPEG-4 coded versions against MPEG-4 FGS-coded layers in rate-constrained lossy environments. Experiments show that versions perform better than layers when the constraint on the aggregate rate is somewhat relaxed, for low to medium packet loss ratios

Identification of contact parameters from stiff multi-point contact robotic operations

Computer simulations play an important role in the design and validation of constrained robotic operations. The fidelity of these simulations, however, depends on the specification of contact dynamics parameters, which often need to be determined experimentally. In this paper we investigate the identification of contact parameters from complex stiff multi-point contact scenarios encountered in typical robotic operations using a recently developed least-squares-based method. This method is extended to deal with geometric uncertainties by employing a non-linear separable least-squares formulation. The latter is solved using a variable projection method, and allows simultaneous identification of contact parameters and geometric uncertainties. The conditions for observability of geometric uncertainties are derived and a regularized formulation is proposed in case the identification of geometric uncertainties is ill-conditioned. The applicability of the original method and the benefits of the extended method with identification of geometric uncertainties for the identification of the contact parameters are illustrated by means of experimental data measured with the Special Purpose Dexterous Manipulator (SPDM) Task Verification Facility (STVF) manipulator at the Canadian Space Agency (CSA). © The Author(s), 2010.status: publishe

Mining Urban Data (Part C)

Modern cities generate a flood of rich and varied data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens׳ quality of life by reducing transportation time, enhancing city planning, and improving air quality to name a few applications. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new interdisciplinary field of research. This article introduces the third part of a special issue on the topic ‘Mining Urban Data’ published in the journal Information Systems. © 2016 Elsevier Lt

Mining Urban Data (Part C): Editorial

Modern cities generate a flood of rich and varied data. New information sources like public transport and wearable devices provide opportunities for novel applications that will improve citizens׳ quality of life by reducing transportation time, enhancing city planning, and improving air quality to name a few applications. From a data science perspective, data emerging from smart cities give rise to a lot of challenges that constitute a new interdisciplinary field of research. This article introduces the third part of a special issue on the topic "Mining Urban Data" published in the journal Information Systems

Long- incubation time- interferon-gamma release assays in response to PPD-, ESAT-6- and/or CFP-10 for the diagnosis of Mycobacterium tuberculosis infection in children.

Background:Diagnosis of childhood active tuberculosis (aTB) or latent Mycobacterium tuberculosis (Mtb) infection (LTBI) remains a challenge, and replacement of tuberculin skin tests (TST) by commercialized interferon-gamma release assays (IGRA) is not currently recommended.Methods:266 children between 1 month and 15 years of age, 214 being at risk of recent Mtb infection and 51 being included as controls, were prospectively enrolled. According results of clinical evaluation, TST, chest X-Ray and microbiology, children were classified as non-infected, LTBI or aTB. Long-incubation time PPD-, ESAT-6-, and CFP-10-IGRA were performed and evaluated for their accuracy to correctly classify the children.Results:Whereas both TST and PPD-IGRA were suboptimal to detect aTB, combining CFP-10-IGRA with TST or with PPD-IGRA allowed us to detect all the children with aTB, with 96% specificity for children who were positive for CFP-10-IGRA. Moreover, combination of CFP-10- and PPD-IGRA also detected 96% of children classified as LTBI, but a strong IFN-γ response to CFP-10 (>500 pg/ml) was highly suggestive of aTB at least among children less than 3 years old.Conclusions:Long-incubation time CFP-10- and PPD-IGRA should help the clinicians to identify quickly aTB or LTBI in young children.JOURNAL ARTICLESCOPUS: ar.jinfo:eu-repo/semantics/publishe