Bringing Optical Communications to the General Public: an Innovative Bachelor Thesis

The United Nations “International year of light 2015” strives to highlight the importance of optical technologies in our everyday lives. Fibre optic communication is one such technology: the growth of internet and its associated services are enabled by the vast transmission bandwidth provided by optical networks. However, the general public is not well aware of the optical and electronic fundamentals of the underlying transmission systems. Here we present the development of a bachelor thesis in Telecommunication Engineering in which a small-scale fibre-optic link is built and the electronics required to transmit music over this link are implemented. The resulting system demonstrates, in a very intuitive way, how information is transmitted over an optical fibre.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

La influencia de la inmigración en la economía española

El trabajo contempla desde todas las perspectivas económicas los efectos de la llegada de los trabajadores foráneos. Estableciendo sus consecuencias y el futuro de este fenómeno en EspañaGrado en Relaciones Laborales y Recursos Humano

Object detection in traffic videos: an optimized approach using super-resolution and maximal clique algorithm

Funding for open access publishing: Universidad Málaga/CBUA

Automate d lab eling of training data for improved object detection in traffic videos by fine-tuned deep convolutional neural networks

The exponential increase in the use of technology in road management systems has led to real-time vi- sual information in thousands of locations on road networks. A previous step in preventing or detecting accidents involves identifying vehicles on the road. The application of convolutional neural networks in object detection has significantly improved this field, enhancing classical computer vision techniques. Al- though, there are deficiencies due to the low detection rate provided by the available pre-trained models, especially for small objects. The main drawback is that they require manual labeling of the vehicles that appear in the images from each IP camera located on the road network to retrain the model. This task is not feasible if we have thousands of cameras distributed across the extensive road network of each nation or state. Our proposal presented a new automatic procedure for detecting small-scale objects in traffic sequences. In the first stage, vehicle patterns detected from a set of frames are generated automatically through an offline process, using super-resolution techniques and pre-trained object detection networks. Subsequently, the object detection model is retrained with the previously obtained data, adapting it to the analyzed scene. Finally, already online and in real-time, the retrained model is used in the rest of the traffic sequence or the video stream generated by the camera. This framework has been successfully tested on the NGSIM and the GRAM datasets.Funding for open access charge: Universidad de Málaga/CBU

Improved detection of small objects in road network sequences using CNN and super resolution

The detection of small objects is one of the problems present in deep learning due to the context of the scene or the low number of pixels of the objects to be detected. According to these problems, current pre-trained models based on convolutional neural networks usually give a poor average precision, highlighting some as CenterNet HourGlass104 with a mean average precision of 25.6%, or SSD-512 with 9%. This work focuses on the detection of small objects. In particular, our proposal aims to vehicle detection from images captured by video surveillance cameras with pretrained models without modifying their structures, so it does not require retraining the network to improve the detection rate of the elements. For better performance, a technique has been developed which, starting from certain initial regions, detects a higher number of objects and improves their class inference without modifying or retraining the network. The neural network is integrated with processes that are in charge of increasing the resolution of the images to improve the object detection performance. This solution has been tested for a set of traffic images containing elements of different scales to check the efficiency depending on the detections obtained by the model. Our proposal achieves good results in a wide range of situations, obtaining, for example, an average score of 45.1% with the EfficientDet-D4 model for the first video sequence, compared to the 24.3% accuracy initially provided by the pre-trained model.This work is partially supported by the Ministry of Science, Innovation and Universities of Spain [grant number RTI2018-094645-B-I00], project name Automated detection with low-cost hardware of unusual activities in video sequences. It is also partially supported by the Autonomous Government of Andalusia (Spain) under project UMA18-FEDERJA-084, project name Detection of anomalous behaviour agents by deep learning in low-cost video surveillance intelligent systems. All of them include funds from the European Regional Development Fund (ERDF). It is also partially supported by the University of Málaga (Spain) under grants B1-2019_01, project name Anomaly detection on roads by moving cameras, and B1-2019_02, project name Self-Organizing Neural Systems for Non-Stationary Environments. The authors thankfully acknowledge the computer resources, technical expertise and assistance provided by the SCBI (Supercomputing and Bioinformatics) center of the University of Málaga. The authors acknowledge the funding from the Universidad de Málaga. I.G.-A. is funded by a scholarship from the Autonomous Government of Andalusia (Spain) under the Young Employment operative program [grant number SNGJ5Y6-15]. They also gratefully acknowledge the support of NVIDIA Corporation with the donation of two Titan X GPUs. Funding for open access charge: Universidad de Málaga / CBUA

Micropropagation and in vitro germplasm conservation of Georgian wild grapevines

2 páginas.-- 1 tabla.-- 12 referencias.Research NoteThe article is a joint publication of the COST Action FA1003 "East-West Collaboration for Grapevine Diversity Exploration and Mobilization of Adaptive Traits for Breeding".Peer reviewe

Teaching Coordination in the University: the case of the initial training of the future Social Sciences teacher in Spain

La coordinación entre el profesorado universitario es un aspecto clave para la mejora en la formación inicial que se les ofrece a los futuros docentes de educación secundaria en España. En la investigación que se presenta, se analizan los contenidos estudiados en la especialidad de Ciencias Sociales, pero principalmente las actividades que se implementan en las distintas materias. Se ha seguido una metodología mixta -cuantitativa, cualitativa-, con un análisis centrado en la percepción del alumnado de dos universidades –Universidad de Alicante y Universidad de Valencia- durante el curso 2020-2021, recogidas a través de cuestionarios con preguntas cerradas y abiertas, que permitían el relato de los participantes. Los resultados obtenidos muestran la repetición de contenidos y de actividades entre las distintas materias del Máster, así como el predominio de la cantidad sobre la calidad de estas últimas, percibiéndose un cambio significativo hacia su realización de forma cooperativa en pequeño grupo.A coordenação de professores universitários é um aspecto fundamental para melhorar a formação inicial dos futuros professores do Ensino Médio na Espanha. Na pesquisa que se apresenta, são analisados os conteúdos estudados na especialidade de Ciências Sociais, mas principalmente as atividades que são implementadas nas diferentes disciplinas. Utilizou-se uma metodologia mista (quantitativa e qualitativa), com uma análise focada na percepção dos alunos de duas universidades: Universidade de Alicante e Universidade de Valência durante o ano letivo 2020-2021. A pesquisa envolveu aplicação de questionários com perguntas fechadas e abertas, que permitiram o relato por parte dos participantes. Os resultados obtidos mostram a repetição de conteúdos e atividades entre as diferentes disciplinas do Mestrado, bem como a predominância da quantidade sobre a qualidade das últimas, percebendo-se uma mudança significativa para a sua realização cooperativa em pequenos grupos.The coordination between the university faculty is a key aspect for the improvement in the initial training that is offered to future secondary education teachers in Spain. In the research presented, the content studied in the specialty of Social Sciences is analyzed, but mainly the activities that are implemented in the different subjects. A mixed methodology has been followed - qualitative, qualitative-, with an analysis focused on the students' perception of two universities - university of Alicante and University of Valencia - during the 2020-2021 course, collected through questionnaires with closed and open questions, which allowed the participants' story. The results obtained show the repetition of content and activities between the different matters of the Master, as well as the predominance of the amount on the quality of the latter, perceiving a significant change towards its realization cooperatively in small group

La orientación escolar en 4º de la E.S.O.: propuesta de intervención en un caso concreto

En el estudio de la Orientación Escolar, como producto de la falta de normativas, surgen problemas. Estos problemas han sido detectados en el análisis de un modelo concreto de Orientación que esta siendo usado desde hace años en un centro escolar. En este trabajo se analizan dichos problemas, se crea una hipótesis acerca de su origen y se plantea un posible modelo de intervención para resolverlos, basado en la entrevista

La relevancia de la coordinación docente en el Máster de Formación del Profesorado de Secundaria en Geografía e Historia.

La coordinación entre el profesorado resulta fundamental para conseguir una formación idónea para el alumnado. Esta investigación se centra en el estudio de la coordinación docente en el Máster que habilita al estudiante para ejercer la docencia en la etapa de Educación Secundaria, y más en concreto en la especialidad de Geografía e Historia. A través de una metodología cuantitativa, pero utilizando también técnicas de análisis cualitativo, en la que la percepción del alumnado de dos universidades españolas resulta esencial, se han obtenido unos resultados que evidencian la falta de coordinación docente, provocando una repetición en los contenidos impartidos en las diferentes materias, al mismo tiempo que se produce la ausencia de otros que los estudiantes consideran fundamentales. La mejora de la formación inicial del futuro profesorado de Educación Secundaria requiere de un nuevo modelo de coordinación docente que sea capaz de armonizar las distintas materias impartidas en el Máste

Designing an Advanced Regional Research Network

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