86 research outputs found
CO2 emissions and economic activity: heterogeneity across countries and non stationary series
No full textThis paper explores the homogeneity of the functional form, the parameters, and the turning point, when appropriate, of the relationship between CO2 emissions and economic activity for 31 countries (28 OECD, Brazil, China, and India) during the period 1950 to 2006 using cointegration analysis. With a sample highly overlapped over time between countries, the result reveals that the homogeneity across countries is rejected, both in functional form and in the parameters of long term relationship. This confirms the relevance of considering the heterogeneity in exploring the relationship between air pollution and economic activity to avoid spurious parameter estimates and infer a wrong behavior of the functional form, which could lead to induce that the relationship is reversed when in fact it is direct.Bound testing, cointegration, CO2 emissions, environmental Kuznets curve, heterogeneity
Integración regional: ¿crecimiento económico mediante la diversificación de las exportaciones?
No full textThis paper analyses the determinants of Uruguayan manufactured exports without agricultural inputs to Argentina and Brazil (where they are principally destined). This was studied through a Vector Error Correction Model (VECM) including these exports to both countries, external demand and bilateral real exchange rates. The empirical analysis suggests that the external demand is the only determinant of this type of exports to the region, according to this model. This means that these exports depend only on Argentina and Brazil growth. Competitiveness seems not to be an important determinant for the performance of these exports to our neighbors.Este trabajo analiza los determinantes de las exportaciones uruguayas de bienes industriales con insumos sin origen agropecuario a Argentina y Brasil (hacia donde principalmente se destinan). El estudio fue desarrollado a través de un Modelo de Vectores de Corrección de Error (VECM), incluyendo como variables este tipo de exportaciones a ambos países, la demanda externa y el tipo de cambio real bilateral. El análisis empírico sugiere, de acuerdo al modelo estimado, que la demanda externa es el principal determinante de este tipo de exportaciones. Esto significa que las exportaciones dependen, en el largo plazo, del crecimiento de Argentina y Brasil.
Designing aircraft in Italy; internship at Piaggio Aero Industries
No full textFrom October 2012 to January 2013, I went to the south of Italy to do my internship at Piaggio, the company famous for manufacturing the P.180 Avanti business aircraft. The office where I was located was in Pozzuoli, a town just outside the city of Naples, in the shadow of Mount Vesuvius.Aerospace Engineerin
Modelo de recomendación para compras en supermercado
No full textIncluye bibliografía y anexos.El presente trabajo final tiene como objetivo desarrollar un sistema de recomendación aplicado a las compras web de un supermercado, con la finalidad de anticipar las preferencias de compra y personalizar las sugerencias en función del historial de compras de cada cliente. Con esta finalidad, a partir de un conjunto de datos de compras en un supermercado, se realizó un análisis exploratorio y se crearon nuevas variables que resultan clave para los siguientes pasos, como la segmentación horaria y la frecuencia de compra. Con el propósito de adaptar los algoritmos de recomendación a grupos de usuarios con patrones de compra similares, se agruparon a los clientes en cinco perfiles bien diferenciados mediante la aplicación de “K-means”, de forma de mejorar la personalización de las sugerencias. Sobre cada segmento se entrenaron y compararon tres algoritmos de recomendación: factorización matricial con NMF, arquitecturas de “dos torres” con TensorFlow Recommenders y, finalmente, filtrado colaborativo con Surprise. El modelo optimizado de TensorFlow Recommenders obtuvo un F1-score de 0.88, superando al mejor modelo NMF en un 13.6% y al mejor modelo de Surprise en un 18.3%. A su vez, se evidencia la relevancia de técnicas como SMOTE para el balanceo de clases. Estos resultados demuestran que la combinación de la segmentación previa, el aprendizaje profundo y el ajuste fino de hiperparámetros incrementa la precisión y relevancia de las recomendaciones
CO2 Emissions and Economic Activity: heterogeneity across countries and non stationary series
No full textThis paper explores the homogeneity of the functional form, the parameters, and the turning point, when appropriate, of the relationship between CO2 emissions and economic activity for 31 countries (28 OECD, Brazil, China, and India) during the period 1950 to 2006 using cointegration analysis. With a sample highly overlapped over time between countries, the result reveals that the homogeneity across countries is rejected, both in functional form and in the parameters of long term relationship. This confirms the relevance of considering the heterogeneity in exploring the relationship between air pollution and economic activity to avoid spurious parameter estimates and infer a wrong behavior of the functional form, which could lead to induce that the relationship is reversed when in fact it is direct.Bound testing, cointegration, CO2 emissions, environmental Kuznets curve, heterogeneity
Follow-the-Leader Guidance, Navigation, and Control of Surface Vessels: Design and Experiments
No full textA novel follow-the-leader approach for azimuth-driven vessels is devised and experimentally tested in a model-scale outdoor scenario. The vessels are equipped with global navigation satellite and inertial navigation systems. A line-of-sight algorithm ensures the yaw-check ability of the follower vessel along the leader's path, while a speed-regulation allows to track its velocity. Track generation, guidance, navigation, and control modules are designed and assembled to be executed on-board in real time. The results of an outdoor experimental campaign are illustrated to show the effectiveness of the proposed approach.Green Open Access added to TU Delft Institutional Repository 'You share, we take care!' - Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Transport Engineering and Logistic
The role of ethics in science: a systematic literature review from the first wave of COVID-19
No full textThis paper proposes a systematic literature review on ethics and CoviD-19, aiming to understand the impact and the perception of the pandemic during the first wave (January-June 2020) and the consequences one year later. PubMed was systematically searched up May 2020 to identify studies that took into consideration various ethical issues that have been arising from the Covid-19 outbreak. The eligibility of the papers was determined by two authors, who screened the results mediated by a third author. In order to facilitate the screening, the titles were divided into five sub-thematic macro-areas, namely allocation, policy, specialist, clinical trials, and technology and, when possible, per geographical area. Specifically, a posteriori, we decided to focus on the papers referring to policies and technology, as they highlighted ethical issues that are not overused and worthy of particular attention. Thus, 38 studies out of 233 met our inclusion criteria and were fully analysed. Accordingly, this review touches on themes such as fairness, equity, transparency of information, the duty of care, racial disparities, the marginalisation of the poor, and privacy and ethical concerns. Overall, it was found that despite the increased awareness of interdisciplinarity and the essential reference to ethics, many scientific articles use it with little competence, considering it only a "humanitarian" enrichment. In fact, as we understand, reflecting a year after the outbreak of the pandemic, although Covid-19 is leading scientists to increasingly recognise the importance of ethical issues, there is still a lot of confusion that could be helped by establishing international guidelines to act as a moral compass in times of crisis.Supplementary informationThe online version contains supplementary material available at 10.1007/s12553-021-00570-6
An approach for improving the performance of learning probabilistic deterministic finite automata
No full textIncluye bibliografía y anexos.El presente desarrollo de tesis busca progresar sobre las líneas de investigación existentes en referencia a la inferencia de Probabilistic Deterministic Finite Automata (PDFAs) desde modelos de lenguajes en un marco de caja negra y aprendizaje activo. El principal objetivo es subsanar los problemas encontrados en la literatura actual y avanzar hacia un algoritmo más eficiente
autorregresivos, redes recurrentes, autoencoders y modelos basados en grafos
No full textIncluye bibliografía y anexos.Este trabajo final se centra en la exploración de cuatro técnicas para la predicción del tráfico vehicular: Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM), Stacked Autoencoders (SAE) y modelos basados en grafos. Estos métodos representan diferentes enfoques y paradigmas en el campo del aprendizaje automático y la minería de datos, cada uno con sus propias fortalezas y limitaciones. El objetivo principal es una evaluación de estos métodos en términos de su capacidad para modelar y predecir el flujo de tráfico vehicular. Se analizarán métricas de rendimiento y la capacidad de generalización en diferentes escenarios y conjuntos de datos. El trabajo realizado destaca que las técnicas ARIMA y LSTM son efectivas para capturar dependencias temporales en datos de tráfico, especialmente cuando esta es predominante. Sin embargo, los SAEs y modelos basados en grafos, al considerar la componente espacial, son capaces de manejar una mayor dimensionalidad de detectores. Específicamente, los modelos basados en grafos se destacan por su capacidad de modelar la estructura espacial de la red vial y las interacciones entre múltiples puntos de medición. Este documento proporciona una guía útil para los investigadores y profesionales del campo del transporte urbano, facilitando la selección y aplicación de métodos de predicción del tráfico vehicular más efectivos y adecuados para diferentes contextos y requisitos específicos
San José Urban Areas Survey by Tropical Agricultural Research and Higher Education Center (CATIE)
No full textThe survey is part of a project on Ecosystem Services Accounting for Development (ESAfD) in six different countries: Beijing (China), San José (Costa Rica), Addis Ababa (Ethiopia), Nairobi (Kenya), Cape Town (South Africa), and Dar es Salaam (Tanzania). The surveys were jointly designed. However, local surveys are contingent to local realities. The ESAfD project is jointly executed by the Environment for Development (EfD) initiative and the Swedish Environmental Protection Agency (SEPA), and funded by the Swedish International Development Cooperation Agency (Sida). The objective of the project is to conduct ecosystem services valuation using techniques robust with the System of National Accounts (SNA). By rigorously linking biophysical and socioeconomic data, the results are relevant not only for national accounting but also for local and regional landscape planning.
This submission consists of the dataset collected by EfD Costa Rica about the opinion of residents of San José on urban green areas.
The dataset attached consists of data generated by the San José urban green area survey which includes respondents' opinions about parks, forests, wetlands, and rivers in the city.The survey is part of a project on Ecosystem Services Accounting for Development (ESAfD) in six different countries: Beijing (China), San José (Costa Rica), Addis Ababa (Ethiopia), Nairobi (Kenya), Cape Town (South Africa), and Dar es Salaam (Tanzania). The surveys were jointly designed. However, local surveys are contingent to local realities. The ESAfD project is jointly executed by the Environment for Development (EfD) initiative and the Swedish Environmental Protection Agency (SEPA), and funded by the Swedish International Development Cooperation Agency (Sida). The objective of the project is to conduct ecosystem services valuation using techniques robust with the System of National Accounts (SNA). By rigorously linking biophysical and socioeconomic data, the results are relevant not only for national accounting but also for local and regional landscape planning.
This submission consists of the dataset collected by EfD Costa Rica about the opinion of residents of San José on urban green areas.
The dataset attached consists of data generated by the San José urban green area survey which includes respondents' opinions about parks, forests, wetlands, and rivers in the city
- …
