Browsing by Author "Armijos, J"

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Design and Implementation of a Smart Meter with Demand Response Capabilities
(ELSEVIER LTD, 2016-04-19) Minchala Ávila, Luis Ismael; Armijos, J; Pesántez, D; Minchala Ávila, Luis Ismael
This paper presents the design of a smart meter (SM) with demand response (DR) capabilities. The SM design is tested in a simulation that implements an advanced measurement infrastructure (AMI), which allows a bidirectional communication between the household smart meters and the distribution management system (DMS). The DMS deploys an energy management system (EMS) that runs a simple demand response program (DRP) based on time of use (TOU), consisting in peak and off-peak rates. Results from the simulation and the data collected from the SM show significant improvements in energy consumption during peak hours thanks to the load curtailment strategies.
Semiautomatic validation of RR time series in an ECG stress test database
(SPIE, 2015-11-17) Armijos, J; Astudillo Salinas, Darwin Fabián; Garciá, D; Medina Molina, Ruben; Palacio Baus, Kenneth Samuel; Wong De Balzan, Sara
This paper reports an automatic method for characterizing the quality of the RR-time series in the stress test database known as DICARDIA. The proposed methodology is simple and consists in subdividing the RR time series in a set of windows for estimating the quantity of artifacts based on a threshold value that depends on the standard deviation of RR-time series for each recorded lead. In a first stage, a manual annotation was performed considering four quality classes for the RR-time series (Reference lead, Good Lead, Low Quality Lead and Useless Lead). Automatic annotation was then performed varying the number of windows and threshold value for the standard deviation of the RR-time series. The metric used for evaluating the quality of the annotation was the Matching Ratio. The best results were obtained using a higher number of windows and considering only three classes (Good Lead, Low Quality Lead and Useless). The proposed methodology allows the utilization of the online available DICARDIA Stress Test database for different types of research.