Find your Way by Observing the Sun and Other Semantic Cues

In this paper we present a robust, efficient and affordable approach to self-localization which does not require neither GPS nor knowledge about the appearance of the world. Towards this goal, we utilize freely available cartographic maps and derive a probabilistic model that exploits semantic cues in the form of sun direction, presence of an intersection, road type, speed limit as well as the ego-car trajectory in order to produce very reliable localization results. Our experimental evaluation shows that our approach can localize much faster (in terms of driving time) with less computation and more robustly than competing approaches, which ignore semantic information

Sal en la dieta: pareceres, guías y pruebas

Carta al director de la revista en relación a un artículo publicado en un número anterior referido a la alimentación y, particularmente, al consumo de sal

Control of a single-switch two-input buck converter for MPPT of two PV strings

© 2014 ACPE. In this paper, the configuration composed by a Two-Input Buck (TIBuck) converter and a boost inverter is proposed for low-voltage grid-connected PV systems. This configuration is attractive for this application because it has high efficiency and can achieve dual maximum power point tracking (MPPT) with only one active switch. However, in this system, the nonlinear characteristics of the converter and the two PV arrays complicate the control. By means of a small-signal modeling, the control theme of the two PV voltages is formulated and the effect of the nonlinearities is presented. Simulation results are reported to validate the theoretical analysis, showing the dual MPPT capability

Reducción de la cobertura social para los fármacos antiartrósicos sintomáticos de acción lenta: una iniciativa de desinversión en Argentina, 2015-2017

In April 2016, the National Institute of Social Services for Retirees and Pensioners discontinued its policy of 100% coverage for 159 drugs (the “social subsidy”), including symptomatic slow-acting drugs for osteoarthritis (SYSADOAs), due to insufficient evidence of significant clinical benefit. We evaluated the effect of this measure on the use of SYSADOAs as well as non-steroidal anti-inflammatory drugs (NSAIDs), which were unaffected by this policy change. We compared outpatient dispensations of SYSADOAs and NSAIDs from 2015 to 2017, measuring dispensed units, retail price, and out-of-pocket expenses for beneficiaries each month. After the change in coverage, there was a 61.6% total decrease in SYSADOA units dispensed, and a 63.4% decrease in the final sales price to the public, measured in constant values. Dispensation was not reoriented towards NSAIDs, which fell by 6.1%. The incidence of new treatments decreased (from 6.4 to 3.3 treatments per 1,000 beneficiaries per month), as did their continuity. Beneficiaries’ out-of-pocket spending on SYSADOAs increased by 75.8% (at constant values). Disinvestment in interventions with questionable therapeutic value is an important tool in working toward the sustainability of health systems.En abril de 2016, el Instituto Nacional de Servicios Sociales para Jubilados y Pensionados excluyó del subsidio social la cobertura al 100% de 159 fármacos, entre ellos, los antiartrósicos sintomáticos de acción lenta o symptomatic slow-acting drugs for osteoarthritis (SySADOA), por insuficiente evidencia de beneficio clínico significativo. Evaluamos el efecto de esta medida sobre la utilización de SySADOA y de los antiinflamatorios no esteroides (AINE), no afectados por la medida. Se compararon las dispensas ambulatorias de los SySADOA y los AINE de 2015 a 2017, midiendo unidades dispensadas, precio de venta al público y gasto de bolsillo del beneficiario para cada mes. Luego de la medida, descendieron un 61,6% los envases de SySADOA dispensados y un 63,4% el monto total del precio de venta al público, medido en valores constantes. La dispensa no se reorientó hacia los AINE, que descendieron un 6,1%. Disminuyó tanto la incidencia de nuevos tratamientos (de 6,4 a 3,3 tratamientos por 1.000 beneficiarios por mes) como su continuidad. El gasto de bolsillo de los beneficiarios en SySADOA aumentó un 75,8% (a valores constantes). La desinversión en intervenciones de valor terapéutico cuestionable es una herramienta valiosa para la sustentabilidad de los sistemas de salud

Learning 3D Human Pose from Structure and Motion

3D human pose estimation from a single image is a challenging problem, especially for in-the-wild settings due to the lack of 3D annotated data. We propose two anatomically inspired loss functions and use them with a weakly-supervised learning framework to jointly learn from large-scale in-the-wild 2D and indoor/synthetic 3D data. We also present a simple temporal network that exploits temporal and structural cues present in predicted pose sequences to temporally harmonize the pose estimations. We carefully analyze the proposed contributions through loss surface visualizations and sensitivity analysis to facilitate deeper understanding of their working mechanism. Our complete pipeline improves the state-of-the-art by 11.8% and 12% on Human3.6M and MPI-INF-3DHP, respectively, and runs at 30 FPS on a commodity graphics card.Comment: ECCV 2018. Project page: https://www.cse.iitb.ac.in/~rdabral/3DPose