The large number of sensors and actuators that make up the Internet Things obliges these systems to use diverse technologies protocols. This means IoT networks are more heterogeneous than traditional networks. gives rise new challenges in cybersecurity protect devices which characterized by being connected continuously Internet. Intrusion detection (IDS) used from various anomalies attacks at network level. Detection Systems can be improved through machine learning techniques. Our work...

The aim of this paper was the detection pathologies through respiratory sounds. ICBHI (International Conference on Biomedical and Health Informatics) Benchmark used. This dataset is composed 920 sounds which 810 are chronic diseases, 75 non-chronic diseases only 35 healthy individuals. As more than 88% samples from same class (Chronic), use a Variational Convolutional Autoencoder proposed to generate new labeled data other well known oversampling techniques after determining that classes...

The disease brought about by the SARS-CoV-2, COVID-19 coronavirus has had an unprecedented global impact. Confinement to control outbreak may have mental health consequences for most vulnerable in population, including adolescents. This study aims describe and analyze relationships between stress variables, Emotional Intelligence intention use cannabis healthy adolescents, before after end of pandemic containment stage. A comparative correlational was carried out with validated...

In this work, a sentiment analysis method that is capable of accepting audio any length, without being fixed priori, proposed. Mel spectrogram and Frequency Cepstral Coefficients are used as description methods Fully Convolutional Neural Network architecture proposed classifier. The results have been validated using three well known datasets: EMODB, RAVDESS, TESS. obtained were promising, outperforming the state-of-the-art methods. Also, thanks to fact admits audios size, it allows be made...

This work addresses the performance comparison between four clustering techniques with objective of achieving strong hybrid models in supervised learning tasks. A real dataset from a bio-climatic house named Sotavento placed on experimental wind farm and located Xermade (Lugo) Galicia (Spain) has been collected. Authors have chosen thermal solar generation system order to study how works applying several cluster methods followed by regression technique predict output temperature system. With...

Abstract This document describes the process of implementation and formalization a rule‐based conceptual model oriented to PID tuning, developed by an expert in domain control engineering. The quality formal is critical carry out get CACSD (Computer Aided Control System Design) software application, where non‐expert user can perform tuning aided update rules improve process, without necessity editing source code application. Copyright © 2010 John Wiley Sons Asia Pte Ltd Chinese Automatic Society

There is a great concern nowadays regarding alcohol consumption and drug abuse, especially in young people. Analyzing the social environment where these adolescents are immersed, as well series of measures determining abuse risk or personal situation perception using number questionnaires like AUDIT, FAS, KIDSCREEN, others, it possible to gain insight into current given individual his/her behavior. But this analysis, order be achieved, requires use tools that can ease process questionnaire...

This study shows the feasibility of an eHealth solution for tackling eating habits and physical activity in adolescent population. The participants were children from 11 to 15 years old. An intervention was carried out on 139 students group 91 control group, two schools during 14 weeks. had access web through a user account password. They able create friendship relationships, post comments, give likes interact with other users, as well receive notifications information about nutrition daily...

In adolescence, friends are important due to their influence on the acquisition of habits such as alcohol consumption. However, there is a lack studies that describe structural context adolescents, which would be useful implement prevention strategies. Therefore, our research question was how adolescent friendship networks Our goal determine profile at-risk users and relational in classroom. We designed descriptive cross-sectional study based social network analysis analyze patterns....

Eating disorders (ED) are among the most widespread mental illnesses in our society today. This research work presents study of deep learning models applied to domain eating disorders. For this purpose, a collection messages from social network Twitter was compiled using web scraping techniques. After collecting total amount 1,085,957 tweets, subset 2,000 tweets manually classified. classification made it possible differentiate written by people who suffer or have suffered an ED those not...

Abstract The results are presented for the chemical characterization carried out with 53 raw material samples phyllosilicates from outcrops located between provinces of Almería and Granada (SE Spain) in order to use them as waterproof layers under floors greenhouses. For this purpose, have been studied by these techniques: X‐Ray Diffraction (XRD), Fluorescence (WDXRF), Scanning Electron Microscopy (SEM), analysis energy‐dispersive detection (EDX), thermogravimetry. To isolate groups phyllite...

Social Network Analysis (SNA) is a set of techniques developed in the field social and behavioral sciences research, order to characterize study relationships that are established among individuals. When building network for performing an SNA analysis, initial process data gathering achieved extract characteristics individuals their relationships. This usually done by completing questionnaire containing different types questions will be later used obtain measures needed perform study. There...

Objective Excessive alcohol consumption in adolescents is one of the most significant public health problems currently facing society. Social and geographical contexts contribute to development alcohol-related behavior adolescents. The aim this research analyze social pattern related based on their environment. Methodology We designed a descriptive cross-sectional study network analysis. recruited 196 high school students between 16 18 years age participate study. methodology applied was...

Software Defined Networking (SDN) is an emerging field of study within computer networks research area that will, in a near future, play important role the design and development network infrastructures. The main idea behind SDN to separate control data planes are nowadays coupled traditional devices (routers, switches, etc). This separation plane from electronic performs actual packet switching tasks allows former be implemented physical different device also permits build strategies vendor...

Adolescence is a transitional period during which number of changes occur. Social relationships established this influence adolescent behaviour and affect academic performance or alcohol consumption habits, among other issues. Teachers are very important actors in observing guiding the evolution their students, should therefore have appropriate knowledge tools to gain insight into complex social that exist classes. The use network analysis (SNA) techniques may be helpful order study monitor...