Paul Rosero

Paul Rosero
IT University of Copenhagen · Computer Science

PhD
Post. Doc position at IT University of Copenhagen

About

73
Publications
53,729
Reads
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234
Citations
Introduction
Electronic and Communication Networks, MsC in Information Systems Management, and Ph.D. at the University of Salamanca. I have expertise in communication networks, embedded systems development, and wireless sensor networks through open hardware/software platforms. I also have experience in both teaching and research in a wide range of topics related to the fields of electricity and electronics. I have outstanding background and skills in programming languages and computational tools.
Additional affiliations
March 2013 - present
Universidad Técnica del Norte
Position
  • Professor
Description
  • Professor in Electronics and Telecommunications department Researcher
Education
September 2017 - July 2020
Universidad de Salamanca
Field of study
  • Embedded systems
June 2015 - September 2017
Universidad de las Fuerzas Armadas-ESPE
Field of study
  • Data analysis

Publications

Publications (73)
Article
Full-text available
IoT devices play a fundamental role in the machine learning (ML) application pipeline, as they collect rich data for model training using sensors. However, this process can be affected by uncontrollable variables that introduce errors into the data, resulting in a higher computational cost to eliminate them. Thus, selecting the most suitable algori...
Article
Full-text available
The analysis of plantar pressure through podometry has allowed analyzing and detecting different types of disorders and treatments in child patients. Early detection of an inadequate distribution of the patient’s weight can prevent serious injuries to the knees and lower spine. In this paper, an embedded system capable of detecting the presence of...
Article
Air pollution is a current concern of people and government entities. Therefore, in urban scenarios, its monitoring and subsequent analysis is a remarkable and challenging issue due mainly to the variability of polluting-related factors. For this reason, the present work shows the development of a wireless sensor network that, through machine learn...
Article
Esta investigación presenta el diseño de un prototipo para la detección de arritmias cardíacas que incorpora un sistema embebido de bajo costo computacional en un entorno de recursos computacionales limitados capaz de analizar características de los complejos QRS. Para ello, se desarrolla una estrategia de clasificación de latidos cardiacos, normal...
Chapter
The increase in air pollutant emissions is a current concern. Due to this, the present work shows a network of sensor nodes sending information by LoRa protocol to the monitoring of emissions of harmful gases for health in urban environments. To do this, an electronic scheme is proposed for data acquisition with a smoothing of the signal from each...
Article
Full-text available
This letter presents an overview on some remarkable basics on kernels as well as the formulation of a clustering approach based on least-squares support vector machines. Specifically, the method known as kernel spectral clustering (KSC) is of interest. We explore the links between KSC and a weighted version of kernel principal component analysis (W...
Article
Car drivers under the influence of alcohol is one of the most common causes of road traffic accidents. To tackle this issue, an emerging, suitable alternative is the use of intelligent systems -traditionally based on either sensor networks or artificial vision- that are aimed to prevent starting the car when drunk status on the car driver is detect...
Article
Full-text available
This work presents a monitoring system for the environmental conditions of rose flower-cultivation in greenhouses. Its main objective is to improve the quality of the crops while regulating the production time. To this end, a system consisting of autonomous quadruped vehicles connected with a wireless sensor network (WSN) is developed, which suppor...
Conference Paper
This letter formally introduces the concept of interaction model (IM), which has been used either directly or tangentially in previous works but never defined. Broadly speaking, an IM consists of the use of a mixture of dimensionality reduction (DR) techniques within an interactive data visualization framework. The rationale of creating an IM is th...
Chapter
Nowadays, the implementation of embedded systems with sensors for massive data collection has become widely used for their flexibility and improvement in decision making. However, this process can be affected by errors in reading, attrition of systems, among others. For this, a selection approach of supervised algorithms with a prototypes selection...
Article
Full-text available
This work presents a wireless sensor network (WSN) system able to determine the water quality of rivers. Particularly, we consider the Tahuando River from Ibarra, Ecuador, as a case study. The main goal of this research is to determine the river’s status throughout its route, by generating data reports into an interactive user interface. To this en...
Chapter
Heart data acquisition is actually common these days to prevent its atypical functioning. However, it presents some issues like noise or the overlapping of spectra of the rest of the human body signals. Consequently, the electrocardiogram (ECG) is the most common way of heart monitoring. However, ECG electronic systems have not a portability criter...
Chapter
Full-text available
Consumption forecast models with their proper billing allow establishing strategies to avoid overloads in systems and penalties for high consumption. This paper presents a comparison of multivariate data prediction models that allow detecting the final monthly cost of electricity consumption in relation to the different billing parameters. As relev...
Article
Full-text available
In this article, we introduce a data set concerning electric-power consumption-related features registered in seven main municipalities of Nariño, Colombia, from December 2010 to May 2016. The data set consists of 4427 socio-demographic characteristics, and 7 power-consumption-referred measured values. Data were fully collected by the company Centr...
Article
The Big Data analysis allows to generate knowledge based on mathematical models that surpass human capabilities, and therefore it is necessary to have robust computer systems. In this connection, the dimensionality reduction (DR) allows to perform approximations to make data perceptible in a simple and compact way while also the computational cost...
Chapter
Wireless sensor network is implemented and communicated with the cloud through IPv6. The entire system is applied to precision irrigation systems for lettuce crops in Ecuador. The main objective is to provide optimization system for irrigation water for productive purposes and providing crops with the adequate amount of water needed for surviving a...
Chapter
The present system shows a position detection of a person in the sitting position by means of an accelerometer sensor and the implementation of data analysis stages of prototype selection and supervised classification. As a result, an optimal training matrix with a 100% classification performance is obtained. Finally, an interface is presented that...
Chapter
Hyperconvergence is a new technological trend that integrates and centralizes the functions of network, storage and computing in a single infrastructure, facilitating the administration, operability and scalability of a Data Center as a whole, benets that do not provide an architecture of traditional network or virtualization-specic technologies. T...
Chapter
In a competitive environment, an industry’s success is directly related to the level of optimization of its processes, how production is planned and developed. In this area, the master production scheduling (MPS) is the key action for success. The object of study arises from the need to optimize the medium-term production planning system in a texti...
Chapter
This work presents a new approach to the Internet of Things (IoT) between sensor nodes and data analysis with visualization platform with the purpose to acquire urban pollution data. The main objective is to determine the degree of contamination in Ibarra city in real time. To do this, for one hand, thirteen IoT devices have been implemented. For a...
Chapter
This work presents a system for detecting excess alcohol in drivers to reduce road traffic accidents. To do so, criteria such as alcohol concentration the environment, a facial temperature of the driver and width of the pupil are considered. To measure the corresponding variables, the data acquisition procedure uses sensors and artificial vision. S...
Chapter
Full-text available
The sports ergonomics study allows a bio-mechanical analysis in order to evaluate the impact produced by different muscle conditioning exercises such as the squat. This exercise, if carried out in an erroneous way, it can cause lumbar injuries. The present electronic system acquire the data of the Smith bar and the back by means of accelerometer se...
Chapter
Full-text available
The use of electronic systems and devices has become widely spread and is reaching several fields as well as indispensable for many daily activities. Such systems and devices (here termed embedded systems) are aiming at improving human beings’ quality of life. To do so, they typically acquire users’ data to adjust themselves to different needs and...
Article
This work presents an intelligent system aimed at detecting a person’s posture when sit a wheelchair. The main use of the proposed system is to warn an improper posture to preventing major health issues. A network of sensors is used to collect data that are analyzed through a scheme involving the following stages: Selection of prototypes using Cond...
Chapter
Full-text available
In recent times, an undeniable fact is that the amount of data available has increased dramatically due mainly to the advance of new technologies allowing for storage and communication of enormous volumes of information. In consequence, there is an important need for finding the relevant information within the raw data through the application of no...
Article
Full-text available
Normalized-cut clustering (NCC) is a benchmark graph-based approach for unsupervised data analysis. Since its traditional formulation is a quadratic form subject to orthogonality conditions, it is often solved within an eigenvector-based framework. Nonetheless, in some cases the calculation of eigenvectors is prohibitive or unfeasible due to the in...
Chapter
Full-text available
Dimensionality reduction (DR) methods are able to produce low-dimensional representations of an input data sets which may become intelligible for human perception. Nonetheless, most existing DR approaches lack the ability to naturally provide the users with the faculty of controlability and interactivity. In this connection, data visualization (Dat...
Article
En la presente investigación se desarrolla un sistema electrónico de seguridad para bebés en etapa de gateo, con el fin de alertar de un posible accidente a las personas que están a cargo de su cuidado en áreas consideradas riesgosas. El textil inteligente se encuentra integrado en una prenda de vestir tipo arnés que se conecta a unas rodilleras de...
Article
This work is a Scientific Track paper corresponding to the area of Intelligent Systems. This paper presents a facial recognition approach based on the Eigenfaces method as well as Principal Component Analysis (PCA) as algorithm of processing and cleaning images, respectively. The classification was performed by using the Euclidean distance between...
Article
The present work presents an analysis of the neighborhood criterion for the prototype selection (PS) in supervised machine learning classification algorithms. To do this, we use the condensed neighbor algorithm CNN to eliminate redundant data with the normalization of the distance to the centroid of each data subset criterion. This is done, in orde...
Article
El gateo de los bebés es la forma de descubrir y aprender sus funciones motoras, cognitivas, sociales, emocionales, entre otros. Debido a esto, los infantes se exponen a diferentes peligros como: caídas, quemaduras, lesiones corporales entre las más comunes, donde el hogar es el lugar de mayores incidentes. Debido a lo antes expuesto, la presente i...
Article
La Universidad Técnica del Norte a través de la carrera de ingeniería en Electrónica y Redes de Comunicación, fortaleciendo al proceso de vinculación con la sociedad, crea un proyecto que beneficia a la población de las zonas rurales de la provincia de Imbabura, y que, particularmente, tiene el objetivo de disminuir la brecha digital en colegios, b...
Book
Full-text available
Este libro se ha realizado con los objetivos de brindar los conocimientos básicos de programación y funcionamiento de un sistema embebido en plataformas libres. Arduino se ha convertido en una herramienta muy importante para el prototipado de innovaciones tecnológicas, su bajo costo y amplias referencias en el internet. Esto permite disminuir la cu...
Article
Full-text available
This paper proposes an approach for modeling cardiac pulses from electrocardiographic signals (ECG). A modified van der Pol oscillator model (mvP) is analyzed, which, under a proper configuration, is capable of describing action potentials, and, therefore, it can be adapted for modeling a normal cardiac pulse. Adequate parameters of the mvP system...
Conference Paper
Full-text available
RESUMEN La representación visual de datos es una técnica de extracción de conocimiento que permite tener una percepción de toda la información disponible dentro de Big Data. Para lograr el objetivo de captación de la atención humana, es necesario representar el conjunto de datos de una manera intuitiva. De esta forma, el usuario pueda tomar decisio...
Conference Paper
Full-text available
The estimation of energy demand is not always straightforward or reliable, as one or several classes may fail in the prediction. In this study, a novel methodology of load forecasting is proposed. Three different configurations of Artificial Neural Networks perform a supervised classification of energy consumption data, each one providing an output...
Conference Paper
Full-text available
This work describes a new model for interactive data visualization followed from a dimensionality-reduction (DR)-based approach. Particularly, the mixture of the resulting spaces of DR methods is considered, which is carried out by a weighted sum. For the sake of user interaction, corresponding weighting factors are given via an intuitive color-bas...
Conference Paper
Full-text available
Dynamic or time-varying data analysis is of great interest in emerging and challenging research on automation and machine learning topics. In particular, motion segmentation is a key stage in the design of dynamic data analysis systems. Despite several studies have addressed this issue, there still does not exist a final solution highly compatible...
Article
Full-text available
To perform an exploration process over complex structured data within unsupervised settings, the so-called kernel spectral clustering (KSC) is one of the most recommended and appealing approaches, given its versatility and elegant formulation. In this work, we explore the relationship between (KSC) and other well-known approaches, namely normalized...
Article
Full-text available
This work proposes two novel alternatives for dealing with the highly important issue of the clustering performance estimation. One of the measures is the cluster coherence aimed to quantifying the normalized ratio of cuts within a graph-partitioning framework, and therefore it uses a graph-driven approach to explore the nature of data regarding th...
Article
Full-text available
The analysis of human sit down position is a research area allows for preventing health physical problems in the back. Many works have proposed systems that detect the sitting position, some open issues are still to be dealt with, such as: Cost, computational load, accuracy, portability, and among others. In this work, we present an alternative app...
Conference Paper
Full-text available
Abstract. This work presents an improved interactive data visualization inteface based on a mixture of the outcomes of dimensionality reduction (DR) methods. Broadly, it works as follows: The user can input the mixture weighting factors through a visual and intuitive interface with a primary-light-colors-basemodel (Red, Green, and Blue). By design,...
Chapter
Full-text available
Resumen— La evolución de Internet ha tenido un alto impacto para la población mundial, aunque en sus inicios solo se consideró como una red de computadores ha pasado a convertirse en la base del desarrollo de la mayoría de aspectos de la vida diaria de todas las personas. La relación entre dispositivos conectados y el número de usuarios que se ha e...
Conference Paper
Full-text available
This work presents a new interactive data visualization approach based on mixture of the outcomes of dimensionality reduction (DR) methods. Such a mixture is a weighted sum, whose weighting factors are defined by the user through a visual and intuitive interface. Additionally, the low-dimensional representation space produced by DR methods are grap...
Article
Full-text available
Internet de las cosas (o también conocido como IoT) es una de las tecnologías más nombradas en la actualidad debido a la capacidad que prevé para conectar todo tipo de dispositivos al Internet, si a las potencialidades de IoT le adicionamos otra tecnología de alto impacto como lo es la Visión Artificial tenemos un amplio campo de aplicaciones innov...
Chapter
Full-text available
Resumen: Los géneros textiles han sufrido grandes cambios a una velocidad impresionante, dando como re-sultado a la aparición de los textiles inteligentes; la primera generación de los textiles inteligentes solamente pueden detectar las condiciones medioambientales o estímulos del mismo, la segunda generación son los textiles que tienen la capacida...
Article
Full-text available
The engineering degree program in Electronics and Communication Networks from Universidad Técnica del Norte, with the aim of strengthening the society service processes, has created a project that benefits the population of the rural areas of the province of Imbabura. Such a project has as a main goal to reduce the digital divide in high schools by...
Conference Paper
Full-text available
Resumen— Este trabajo presenta un estudio comparativo con métodos de reducción de la dimensión lineal, tales como: Análisis de Componentes Principales & Análisis Discriminante Lineal. El estudio pretende determinar, bajo criterios de objetividad, cuál de estas técnicas obtiene el mejor resultado de separabilidad entre clases. Para la validación exp...
Conference Paper
Full-text available
Business Intelligence (BI) es el conjunto de estrategias y herramientas para analizar gran cantidad de volúmenes de datos con el fin de encontrar patrones o tendencias de consumo de las personas y establecer estrategias de negocio, para lograr este objetivo es necesario contar con servicios y aplicaciones como RealTime BI, Social BI, Cloud BI, BI 3...
Conference Paper
Full-text available
Internet de las cosas (o también conocido como IoT) es una de las tecnologías más nombradas en la actualidad debido a la capacidad que prevé para conectar todo tipo de dispositivos al Internet, si a las potencialidades de IoT le adicionamos otra tecnología de alto impacto como lo es la Visión Artificial tenemos un amplio campo de aplicaciones innov...