Producción cepalina sobre educación

El siguiente trabajo presenta una visión global del conjunto de la producción de la Comisión Económica para América Latina y el Caribe (CEPAL) sobre educación, mediante la clasificación y análisis de las publicaciones cepalinas relacionadas con el tema educativo desde 1949 hasta 2002. Para dar esa visión dividí los documentos bajo tres criterios temporales y bajo cuatro clasificaciones. Los criterios temporales fueron: anualmente, en dos periodos (1949-1976 y 1977-2002) y en seis etapas (1949-1960, 1961-1963, 1964-1976, 1977-1986, 1987-1989 y 1990-2002). Las cuatro clasificaciones fueron de acuerdo con su extensión en número de páginas, por tipo de publicación, por su ámbito geográfico y por su vinculación temática.El siguiente trabajo presenta una visión global del conjunto de la producción de la Comisión Económica para América Latina y el Caribe (CEPAL) sobre educación, mediante la clasificación y análisis de las publicaciones cepalinas relacionadas con el tema educativo desde 1949 hasta 2002. Para dar esa visión dividí los documentos bajo tres criterios temporales y bajo cuatro clasificaciones. Los criterios temporales fueron: anualmente, en dos periodos (1949-1976 y 1977-2002) y en seis etapas (1949-1960, 1961-1963, 1964-1976, 1977-1986, 1987-1989 y 1990-2002). Las cuatro clasificaciones fueron de acuerdo con su extensión en número de páginas, por tipo de publicación, por su ámbito geográfico y por su vinculación temática

Cross-layer Balanced and Reliable Opportunistic Routing Algorithm for Mobile Ad Hoc Networks

For improving the efficiency and the reliability of the opportunistic routing algorithm, in this paper, we propose the cross-layer and reliable opportunistic routing algorithm (CBRT) for Mobile Ad Hoc Networks, which introduces the improved efficiency fuzzy logic and humoral regulation inspired topology control into the opportunistic routing algorithm. In CBRT, the inputs of the fuzzy logic system are the relative variance (rv) of the metrics rather than the values of the metrics, which reduces the number of fuzzy rules dramatically. Moreover, the number of fuzzy rules does not increase when the number of inputs increases. For reducing the control cost, in CBRT, the node degree in the candidate relays set is a range rather than a constant number. The nodes are divided into different categories based on their node degree in the candidate relays set. The nodes adjust their transmission range based on which categories that they belong to. Additionally, for investigating the effection of the node mobility on routing performance, we propose a link lifetime prediction algorithm which takes both the moving speed and moving direction into account. In CBRT, the source node determines the relaying priorities of the relaying nodes based on their utilities. The relaying node which the utility is large will have high priority to relay the data packet. By these innovations, the network performance in CBRT is much better than that in ExOR, however, the computation complexity is not increased in CBRT.Comment: 14 pages, 17 figures, 31 formulas, IEEE Sensors Journal, 201

A Comparative Evaluation of Heart Rate Estimation Methods using Face Videos

This paper presents a comparative evaluation of methods for remote heart rate estimation using face videos, i.e., given a video sequence of the face as input, methods to process it to obtain a robust estimation of the subjects heart rate at each moment. Four alternatives from the literature are tested, three based in hand crafted approaches and one based on deep learning. The methods are compared using RGB videos from the COHFACE database. Experiments show that the learning-based method achieves much better accuracy than the hand crafted ones. The low error rate achieved by the learning based model makes possible its application in real scenarios, e.g. in medical or sports environments.Comment: Accepted in "IEEE International Workshop on Medical Computing (MediComp) 2020

Assesment of the relationship between Inequality and Economic Growth: A panel Data Approach

The relationship between income distribution and economic growth has been found to depend on several factors such as capital markets imperfections, moral hazard, indivisibility in investments, and existence of dual economic characteristics. In recent literature the importance of geography has been emphasized in defining this relationship due to it’s relevance to trade and openness. The current work assesses how income inequality influences growth stimating a reduced form growth equation. Using dynamic panel data analysis for the 32 States of Mexico with both, urban personal income for grouped data and household income from national surveys, it is found that inequality and growth are positively related. When analysing different periods, two different relationships emerge: 1) a negative influence of inequality on growth in a period of low trade policies, and a positive influence in a period more open trade, when urban personal income is considered, and 2) the relationship is reversed when monetary household income is used. To complete the research, we also estimated a structural form equation taking into account the fiscal effects of inequality on growth, finding that the relationship is positive but requires improvement of the explanatory variables involvedRegional Inequality, Growth, Panel Data