Publications by authors named "W Alfonso-Morales"
Article Synopsis
- Understanding rainfall patterns is crucial for water management, risk management, and agriculture in regions like Southwestern Colombia.
- The study validated four techniques to identify homogeneous rainfall regions, using monthly rainfall data from Nariño, a complex area.
- Findings indicated that non-linear methods, especially principal component analysis and self-organizing maps, were most effective, revealing distinct rainfall regimes in the Andean (bimodal) and Pacific (unimodal) regions.
Article Synopsis
- Researchers and decision-makers are increasingly concerned about climate change and its impact, particularly regarding extreme rainfall events.
- The study analyzes 12 climate indices of extreme rainfall from 1969 to 2019 in Cali, Colombia, using a methodology to address missing data through a Non-Linear Principal Component Analysis, ensuring better accuracy in the results.
- The resulting database is a valuable resource for future studies on extreme rainfall, given Cali's significant urban population and the potential implications of these climate changes.
The Advanced Metering Infrastructure (AMI) data represent a source of information in real time not only about electricity consumption but also as an indicator of other social, demographic, and economic dynamics within a city. This paper presents a Data Analytics/Big Data framework applied to AMI data as a tool to leverage the potential of this data within the applications in a Smart City. The framework includes three fundamental aspects.
View Article and Find Full Text PDFThis paper presents the implementation of nonlinear canonical correlation analysis (NLCCA) approach to detect steady-state visual evoked potentials (SSVEP) quickly. The need for the fast recognition of proper stimulus to help end an SSVEP task in a BCI system is justified due to the flickering external stimulus exposure that causes users to start to feel fatigued. Measuring the accuracy and exposure time can be carried out through the information transfer rate-ITR, which is defined as a relationship between the precision, the number of stimuli, and the required time to obtain a result.
View Article and Find Full Text PDFIn recent years, there has been a transformation in the value chain of different industrial sectors, like the electricity networks, with the appearance of smart grids. Currently, the underlying knowledge in raw data coming from numerous devices can mark a significant competitive advantage for utilities. It is the case of the Advanced Metering Infrastructure (AMI).
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