Manuel Castillo-Cara

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National University of Distance Education | UNED · Department of Artificial Intelligence

Information and communication technologies backbone of a smart city is an Internet of Things (IoT) application that combines technologies such as low power IoT networks, device management, analytics or event stream processing. Hence, designing an efficient IoT architecture for real-time IoT applications brings technical challenges that include the...

The growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. Many of the services provided by the applications are based on knowledge of the localisation and profile of the end user. Thus, the present work aims to develop a system for indoor localisation prediction using Bluetooth-based fin...

The widespread deployment of sensors interconnected by wireless links and the management and exploitation of the data collected have given rise to the Internet of Things (IoT) concept. In this paper, we undertake the design and implementation of a wireless multi-sensor platform following the fog computing paradigm. Our main contributions are the in...

In recent years, the development of Natural Language Processing (NLP) text-to-face encoders and Generative Adversarial Networks (GANs) has enabled the synthesis and generation of facial images from textual description. However, most encoders have been developed for the English language. This work presents the first study of three text-to-face encod...

The growing interest in the use of algorithms-based machine learning for predictive tasks has generated a large and diverse development of algorithms. However, it is widely known that not all of these algorithms are adapted to efficient solutions in certain tidy data format datasets. For this reason, novel techniques are currently being developed t...

Agriculture continues to be one of the world’s main sources of income and provides great environmental, territorial and social value. However, frost is a recurring problem for farmers each year, representing a significant threat to agricultural production. In a matter of hours, temperatures below the freezing point can result in the loss of nearly...

There is a growing number of oil production wells in the world that use rod pump units as an extraction system. In fact, this lifting method is become the preferred one for unconventional wells that are producing at the late-stage period, yet with still attractive rates of a few hundred bopd. Dynamometry basically consists of the visual interpretat...

The growing interest in the use of algorithms-based machine learning for predictive tasks has generated a large and diverse development of algorithms. However, it is widely known that not all of these algorithms are adapted to efficient solutions in certain tidy data format datasets. For this reason, novel techniques are currently being developed t...

Objectives Non-alcoholic fatty liver disease (NAFLD) is a non-communicable disease with a rising prevalence worldwide and with large burden for patients and health systems. To date, the presence of unique phenotypes in patients with NAFLD has not been studied, and their identification could inform precision medicine and public health with pragmatic...

Purpose: Non-alcoholic fatty liver disease (NAFLD) is a non-communicable disease with a rising prevalence worldwide and with large burden for patients and health systems. The presence of unique phenotypes in NAFLD patients has not been studied, and their identification could inform precision medicine and public health with pragmatic implications in...

Background: While clinical medicine has exploded, electronic health records for Natural Language Processing (NLP) analyses, public health, and health policy research have not yet adopted these algorithms. We aimed to dissect the health chapters of the government plans of the 2016 and 2021 Peruvian presidential elections, and to compare different NL...

Objectives During the COVID-19 pandemic, convolutional neural networks (CNNs) have been used in clinical medicine (eg, X-rays classification). Whether CNNs could inform the epidemiology of COVID-19 classifying street images according to COVID-19 risk is unknown, yet it could pinpoint high-risk places and relevant features of the built environment....

his first report focuses on providing recommendations for open data providers and data intermediaries on how to make open data available so as to promote its reuse. It stems from the work previously carried out by the data.europa.eu team and our own research in open data management and human-data interaction. Taking the conclusions of this previous...

The growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. Many of the services provided by the applications are based on knowledge of the localisation and profile of the end user. Thus, the present work aims to develop a system for indoor localisation prediction using Bluetooth-based fin...

Global targets to reduce salt intake have been proposed but their monitoring is challenged by the lack of population-based data on salt consumption. We developed a machine learning (ML) model to predict salt consumption at the population level based on simple predictors and applied this model to national surveys in 54 countries. We used 21 surveys...

Background: While clinical medicine has exploded, electronic health records for Natural Language Processing (NLP) analyses, public health, and health policy research have not yet adopted these algorithms. We aimed to dissect the health chapters of the government plans of the 2016 and 2021 Peruvian presidential elections, and to compare different NL...

Background: Global targets to reduce salt intake have been proposed but their monitoring is challenged by the lack of population-based data on salt consumption. We developed a machine learning (ML) model to predict salt consumption based on simple predictors, and applied this model to national surveys in low- and middle-income countries (LMICs). M...

The study of artificial learning processes in the area of computer vision context has mainly focused on achieving a fixed output target rather than on identifying the underlying processes as a means to develop solutions capable of performing as good as or better than the human brain. This work reviews the well-known segmentation efforts in computer...

Internet of Things (IoT) has posed new requirements to the underlying processing architecture, specially for real-time applications, such as event-detection services. Complex Event Processing (CEP) engines provide a powerful tool to implement these services. Fog computing has raised as a solution to support IoT real-time applications, in contrast t...

Introduction We aimed to identify clusters of people with type 2 diabetes mellitus (T2DM) and to assess whether the frequency of these clusters was consistent across selected countries in Latin America and the Caribbean (LAC). Research design and methods We analyzed 13 population-based national surveys in nine countries (n=8361). We used k-means t...

Background: The COVID-19 pandemic has attracted the attention of researchers and clinicians whom have provided evidence about risk factors and clinical outcomes. Research on the COVID-19 pandemic benefiting from open-access data and machine learning algorithms is still scarce yet can produce relevant and pragmatic information. With country-level pr...

Background: The COVID-19 pandemic has attracted the attention of researchers and clinicians whom have provided evidence about risk factors and clinical outcomes. Research on the COVID-19 pandemic benefiting from open-access data and machine learning algorithms is still scarce yet can produce relevant and pragmatic information. With country-level pr...

This article describes the physical components and computing resources employed during the creative process of an autonomous robot, aspiring to the LARC IEEE OPEN 2019 competition. It also describes the use of computational vision, sensory fusion and neural network to provide, on a small scale and in a known environment, an efficient and autonomous...

To demonstrate and promote the use of fog computing and complex event processing relative to the smart city context, this paper proposes a suite of applications developed to address gender-based violence, which is a significant problem in many jurisdictions. To better protect victims, we propose the open-source Surveillance and Alarm for gender VIo...

The development of Internet of Things (IoT) benefits from: (a) the connections between devices equipped with multiple sensors; (b) wireless networks; and (c) processing and analysis of the gathered data. The growing interest in the use of IoT technologies has led to the development of numerous diverse applications, many of which are based on the kn...

Existe una amplia gama de subtemas relacionados con las Smart Cities y cómo hacer posible su desarrollo de una manera sostenible y eficiente. Sin embargo, de cara al desarrollo de una ciudad, se hace necesario conocer qué estado y qué implementación tiene nuestra ciudad dentro del contexto Smart City; esto es la madurez de desarrollo. Para ello res...

This paper describes the development of an small autonomous ground vehicle from the Team CTIC-UNI for the Latin American Robotics Competition (LARC) 2018, held in Brazil. The multiple hardware and software elements of robot are concisely described in order to provide an overview of the technologies applied by the team in the contest.

The development of wireless networks and devices equipped with multiple sensors, and their connection to storage centres and data processing through the Internet, has led to the implementation of Internet of Things (IoT). The growing interest in the use of IoT technologies has generated the development of numerous and diverse applications. The prop...

Over the past few years, we have witnessed the widespread deployment of wireless sensor networks and distributed data management facilities: two main building blocks of the Internet of things (IoT) technology. Due to the spectacular increase on the demand for novel information services, the IoT-based infrastructures are more and more characterized...

The following work applies Machine Learning algorithms as a tool for a possible solution to the problem of citizen security in a South American city. This application aims to reduce the threat risk to the physical integrity of pedestrians through the geolocation, in real time, using safer places to walk. A database of free disposal for the user is...

Broyden's method is a mathematical approach widely used in several fields of science and engineering where it is necessary to solve Non-Linear system equations. This method, which belongs to Quasi-Newton methods, involves a set of well know Linear Algebra operations as matrix-vector product, inner product, etc. These linear algebra operations are i...

The increasing interest on deploying ubiquitous context-based services has spurred the need of developing indoor localization mechanisms. Such systems should take advantage of the large amount of wireless networks and radio interfaces already incorporated in most mobile consumer devices. Among the existing radio interfaces, Bluetooth Low Energy (BL...

Bluetooth Low Energy (BLE) 4.0 beacons will play a major role in the deployment of energy-efficient indoor localization mechanisms. Since BLE4.0 is highly sensitive to fast fading impairments, numerous ongoing studies are currently exploring the use of supervised learning algorithm as an alternative approach to exploit the information provided by t...

Nowadays, there is a great interest in developing accurate wireless indoor localization mechanisms enabling the implementation of many consumer-oriented services. Among the many proposals, wireless indoor localization mechanisms based on the Received Signal Strength Indication (RSSI) are being widely explored. Most studies have focused on the evalu...

El siguiente dispositivo electrónico, que se fija en el cuerpo para seguimiento y localización de personas o animales, puede ser una pulsera, grillete o collar es un sistema Hardware/Software que tiene el principal objetivo poder realizar seguimiento de personas tanto en Indoor como en Outdoor para el seguimiento y rastreo. Dicho dispositivo esta c...

Smart cities have emerged as a key and strategic concept towards the development of sustainable and user friendly cities. Towards this end, the use of novel information-and –communications technologies should set the basis on developing solutions enabling a better use of resources while improving a wide spectrum of services. Furthermore, smart citi...

The accurate localization of end-users and resources is seen as one of the main pillars toward the successful implementation of context-based applications. While current outdoor localization mechanisms fulfill most application requirements, the design of accurate indoor localization mechanisms is still an open issue. Most research efforts are focus...

This work describes the implementation of a cost-effective assistive mobile application aiming to improve the quality of life of visually impaired people. Taking into account the architectural adaptations being done in many cities around the world, such as tactile sidewalks, the mobile application provides support to guide the visually impaired thr...

During the last two years, our group at INICTEL-UNI has implemented the first microgravity machine in Peru, with three degrees of freedom, which allowed achieving acceleration levels between 10-6 and 10-7 times the value of gravity. The machine has been coupled to a cell incubator of 50x50x50 cm3 which contains inside an UV-fluorescence microscopy...

The following work is an application proposal based on machine learning algorithms for a possible solution for the public safety problem in a South American city. The aim of this application is to reduce the threat risk of the physical integrity of pedestrians by geolocating, in real-time, safer places to walk. In this context for a city, San Isidr...

The gravity has been present during the beginning of life so it is assumed that it must have had any effect is the first cells and organisms. Because the intensity and direction of gravity are always linked physical forces, the understanding of the role(s), if any, of each of these ones over the life is difficult to elucidate. On Earth, different t...

Análisis del origen del concepto de smart cities que deriva de la gestión y ahorro energético, comparación de ejemplos de smart cities actuales y realización de un caso práctico sobre Lima analizando exhaustivamente qué componentes tenemos según las diferentes métricas e indicadores y qué componentes faltarían para poder ser una ciudad "smart". htt...

This document will try to analyze the functionalities that the infrastructures of Cloud Computing, in this case Eucalyptus, offer, as well as propose a new algorithm within the system of the Cloud Controller and Cluster Controller; in which we will succeed to save a considerably large energy consumption due to the requirements of the final user and...