Single-Board-Computer Clusters for Cloudlet Computing in Internet of Things

The number of connected sensors and devices is expected to increase to billions in the near future. However, centralised cloud-computing data centres present various challenges to meet the requirements inherent to Internet of Things (IoT) workloads, such as low latency, high throughput and bandwidth constraints. Edge computing is becoming the standard computing paradigm for latency-sensitive real-time IoT workloads, since it addresses the aforementioned limitations related to centralised cloud-computing models. Such a paradigm relies on bringing computation close to the source of data, which presents serious operational challenges for large-scale cloud-computing providers. In this work, we present an architecture composed of low-cost Single-Board-Computer clusters near to data sources, and centralised cloud-computing data centres. The proposed cost-efficient model may be employed as an alternative to fog computing to meet real-time IoT workload requirements while keeping scalability. We include an extensive empirical analysis to assess the suitability of single-board-computer clusters as cost-effective edge-computing micro data centres. Additionally, we compare the proposed architecture with traditional cloudlet and cloud architectures, and evaluate them through extensive simulation. We finally show that acquisition costs can be drastically reduced while keeping performance levels in data-intensive IoT use cases.Ministerio de Economía y Competitividad TIN2017-82113-C2-1-RMinisterio de Economía y Competitividad RTI2018-098062-A-I00European Union’s Horizon 2020 No. 754489Science Foundation Ireland grant 13/RC/209

Developing Predictive Models under Controlled Conditions for the Selection of New Genotypes That Are Less Susceptible to Bactrocera oleae (Rossi) in Table Olive (Olea europaea L.) Breeding Programs

Bactrocera oleae (Rossi), the olive fly, represent an important biotic factor in olive groves (Olea europaea L.) causing significant production losses. Ensuring effective management of this pest is of paramount importance to safeguard and uphold the quality and quantity of table olive production. The University of Seville’s (US) table olive breeding program has focused its attention on finding new cultivars that exhibit reduced susceptibility to the olive fly. This study attempted to develop predictive models to enable the selection of new genotypes that are less susceptible to the olive fly based on fresh fruit traits. An extensive analysis of fruit physical (weight, size, symmetry, color, and texture) and chemical traits (moisture, oil content, and phenolic compounds) was conducted to evaluate the fly’s preference in oviposition bioassays (multiple choice and no choice) among four genotypes (US-06-1388, US-06-194, ‘Hojiblanca’, and ‘Kalamon’), under controlled conditions. The oviposition bioassays revealed the higher susceptibility of genotype US-06-194 and the lower susceptibility of ‘Kalamon’. The predictive models incorporated physical traits such as, fruit weight, longitudinal diameter, symmetry, CIELAB color attributes (L*, a*, and b*), and compression hardness, as well as chemical traits such as moisture, and the contents of demethyloleuropein, oleuropein, rutin, and verbascoside. These traits consistently predicted the preference of B. oleae for certain fruit

Creating Virtual Humans with Game Engines for Evaluate Ambient Assisted Living Scenarios

In order to evaluate AAL systems, virtual environments help to reduce costs and time, but these environments do not include hyper-realistic human movements. This is something crucial to evaluate activity recognition systems. The present work in progress describes how it is looking for a way to solve this problem and its development using a virtual environment. By means of a game engine and adjusting their parameters, simulations of real acceleration data sets have been generated. It is continuing looking for a valid model to follow.Ministerio de Economía y Competitividad TIN2013-46801-C4-1-RJunta de Andalucía TIC-805

How efficient deep-learning object detectors are?

Deep-learning object-detection architectures are gaining attraction, as they are used for critical tasks in relevant environments such as health, self-driving, industry, security, and robots. Notwithstanding, the available architectures provide variable performance results depending on the scenario under consideration. Challenges are usually used to evaluate such performance only in terms of accuracy. In this work, instead of proposing a new architecture, we overcome the limitations of those challenges by proposing a computationally undemanding comparative model based on several Data Envelopment Analysis (DEA) strategies, not only for the comparison of deep-learning architectures, but also to detect which parameters are the most relevant features for achieving efficiency. In addition, the proposed model provides with a set of recommendations to improve object-detection frameworks. Those measures may be applied in future high-performance meta-architectures, since this model requires lower computational and temporal requirements compared to the traditional strategy based on training neural networks – based on the trial-error method – for each configurable parameter. To this aim, the presented model evaluates 16 parameters of 139 configurations of well-known detectors present in the Google data set [1]

Using the new technologies in claudication patients: CReTe: Claudication patients and telematic register

Objetivo: Presentamos una aplicación informática para teléfonos móviles ideada para el control de sesiones de ejercicio domiciliario en claudicantes. Exponemos también nuestros resultados preliminares. Material y métodos: La aplicación está dise˜nada para teléfonos móviles con sistema operativo Android, tecnología de geolocalización y conexión de datos. Está conectada a una base de datos codificada que preserva el secreto médico. Los datos que se recogen de las sesiones de ejercicio son la fecha, la hora de inicio y de fin, el tiempo dedicado, el número de las paradas realizadas y la velocidad máxima, la velocidad media global y la velocidad entre paradas. Durante el mes de enero de 2014 se reclutó a aquellos pacientes que aceptaran el estudio, poseyeran y entendieran un dispositivo móvil Android con geolocalización y conexión de datos. Los criterios de exclusión del estudio una vez comenzado fueron progresión hacia isquemia arterial crítica, enfermedad intercurrente grave, fallecimiento y ausencia de comunicación con el paciente. Se recogieron las principales morbilidades y los resultados de los cuestionarios de calidad de vida SF36 y EuroQol 5D. Se midió el tiempo de primera consulta y el tiempo dedicado por semana y paciente durante un seguimiento de 28 días. Se calculó el cumplimiento de las sesiones con respecto a las sesiones pactadas con cada paciente, con un mínimo de 2 semanales. Resultados: Un total de 5 pacientes fueron incluidos, con edad media de 59,3 a˜nos (mediana 52; rango 40-80). De ellos 2 se excluyeron, uno por progresión a isquemia crítica y otro por ausencia de comunicación. El tiempo medio dedicado por consulta nueva fue de 29,1 min (mediana 27,5; rango 45-20). El cumplimiento de las sesiones fue del 100% en 2 pacientes y del 63% en otro. El tiempo dedicado en el seguimiento semanal por paciente fue de 1,68 min. Conclusiones: CReTe es una herramienta aplicable a nuestro medio que precisa de estudios mayores para demostrar su utilidad.Objective: The preliminary results are presented on the use of a new application for mobile phones designed to control home exercise sessions in claudication.Materials and methods: The application is designed for Android systems with geolocation tech-nology and Internet connection. It is connected to a database encoded to ensure medical confidentiality. The data collected from the exercise sessions were the date, start time and end time, the time spent, the number of stops made, and the maximum speed, average speed and overall speed between stops. During the month of January 2014 patients who accepted and understood the study, and possessed an Android mobile device with geolocation and data connection, were enrolled. The exclusion criteria, 11 the study started, were progression to arterial ischemia, severe intercurrent illness, non-communication with the patient, and death. Major morbidities and results of quality of life questionnaires SF36 and EuroQol 5 D were collec-ted. Time of first consultation and time spent per week per patient during a 28-day follow-up was recorded. Compliance as regards the agreed sessions was calculated for each patient, with a minimum of 2 weeks.Results: The study included 5 patients with a mean age 59.3 years (median 52; range 40-80). Of these, 2 were excluded, one for progression to critical ischemia and another for non-communication. The average time spent in a new consultation was 29.1 minutes (median 27.5, range 45-20). The compliance with the sessions was 100% in 2 patients, and 63% in another. Time spent in the weekly monitoring per patient was 1.68 minutes.Conclusions: CReTe is an applicable tool in our environment that requires further study to demonstrate its usefulness

Cutaneous and Ganglion Sarcoidosis Induced by Polycaprolactone Facial Filler: A New Expression of ASIA Syndrome?

Dermal fillers are applied using a minimally invasive technique with a good safety profile. However, they can have side effects. We present the case of a patient who, 2 months after undergoing polycaprolactone (Ellansé®) injections, developed nodular facial and nodal lesions that were compatible with sarcoidosis on histology. This complication has not been previously described for polycaprolactone and could be the expression of an autoimmune syndrome induced by adjuvants

Comparative study of the primary cilia in thyrocytes of adult mammals

Since their discovery in different human tissues by Zimmermann in 1898, primary cilia have been found in the vast majority of cell types in vertebrates. Primary cilia are considered to be cellular antennae that occupy an ideal cellular location for the interpretation of information both from the environment and from other cells. To date, in mammalian thyroid gland, primary cilia have been found in the thyrocytes of humans and dogs (fetuses and adults) and in rat embryos. The present study investigated whether the existence of this organelle in follicular cells is a general event in the postnatal thyroid gland of different mammals, using both immunolabeling by immunofluorescence and electron microscopy. Furthermore, we aimed to analyse the presence of primary cilia in various thyroid cell lines. According to our results, primary cilia are present in the adult thyroid gland of most mammal species we studied (human, pig, guinea pig and rabbit), usually as a single copy per follicular cell. Strikingly, they were not found in rat or mouse thyroid tissues. Similarly, cilia were also observed in all human thyroid cell lines tested, both normal and neoplastic follicular cells, but not in cultured thyrocytes of rat origin. We hypothesize that primary cilia could be involved in the regulation of normal thyroid function through specific signaling pathways. Nevertheless, further studies are needed to shed light on the permanence of these organelles in the thyroid gland of most species during postnatal life.Junta de Andalucía. Consejería de Innovación, Ciencia y Empresa CTS-439/2011Junta de Andalucía. Consejería de Innovación, Ciencia y Empresa CTS-229/2011Junta de Andalucía. Consejería de Salud PI-0051-201

Quality traits and tissue anatomy of pepper fruits as influenced by the variety and ripening

Comunicación oral presentada en: III congreso CAOS, Granada EEZ, España. 4 mayo 2023This research was supported by European Regional Development Fund (ERDF)-cofinanced grants from the Ministry of Science and Innovation (PID2019-103924GB-I00, PID2020-113324GB-I00 and TED2021-130015B-C22) and by the Junta de Andalucía (P18-FR-1359), Spain.

Integración de recursos electrónicos en las bibliotecas del Consorcio de Bibliotecas Universitarias de Andaluzas (CBUA)

En los últimos años, el presupuesto en recursos electrónicos ha ido creciendo paulatinamente en las Bibliotecas Universitarias y como consecuencia las inversiones en este tipo de materiales han ido aumentando, convirtiéndose hoy día la Biblioteca Universitaria en una gran factoría virtual. El Consorcio de Bibliotecas Universitarias Andaluzas (CBUA) que asume entre sus políticas el desarrollo de proyectos para la mejora de la calidad de los servicios a través de la cooperación, consciente de esta situación, acomete el plan de dotar a las Bibliotecas del Consorcio de tecnologías centradas en el usuario, para hacer más accesibles las colecciones de recursos electrónicos y poder competir en la Europa del conocimiento con parámetros de calidad. Se presenta el proyecto que está llevando a cabo el Grupo de Trabajo de MAP y ERM del CBUA, de implementación y puesta en marcha de herramientas, para el acceso, integración y gestión de los recursos electrónicos en las Bibliotecas Universitarias Andaluzas, para un mejor uso de las colecciones digitales contratadas, que redundará en la calidad y mejora de los servicios prestados. Se enumeran las fases del proyecto, los objetivos operativos, las líneas de acción, las acciones realizadas, la documentación generada, la difusión y formación en las nuevas herramientas y la repercusión que está teniendo en las Bibliotecas del CBU

Dispositivo, sistema y método de localización y seguimiento energéticamente eficiente

Dispositivo de seguimiento y localización energéticamente eficiente, sistema y método que implementa dicho dispositivo, en donde el dispositivo comprende (i) unos primeros medios de posicionamiento vía satélite (1); (ii) unos segundos medios de control de transiciones (2,3) entre zonas de cobertura satélite y zonas de sombra; y (iii) unos terceros medios de comunicación (4,5); en donde dichos medios están controlados desde una unidad central de procesamiento (7) y alimentados por una batería (8).Españ