Teresa militante

Copia digital : Junta de Castilla y León. Consejería de Cultura y Turismo, 2014Sig.: []7, A-Z8, 2A-2C8, 2D6.Port. con grab. cal. de escudo cardenalicio.Hojas impresas por ambas caras

Reinforcement Learning-Based Television White Space Database

Television white spaces (TVWSs) refer to the unused part of the spectrum under the very high frequency (VHF) and ultra-high frequency (UHF) bands. TVWS are frequencies under licenced primary users (PUs) that are not being used and are available for secondary users (SUs). There are several ways of implementing TVWS in communications, one of which is the use of TVWS database (TVWSDB). The primary purpose of TVWSDB is to protect PUs from interference with SUs. There are several geolocation databases available for this purpose. However, it is unclear if those databases have the prediction feature that gives TVWSDB the capability of decreasing the number of inquiries from SUs. With this in mind, the authors present a reinforcement learning-based TVWSDB. Reinforcement learning (RL) is a machine learning technique that focuses on what has been done based on mapping situations to actions to obtain the highest reward. The learning process was conducted by trying out the actions to gain the reward instead of being told what to do. The actions may directly affect the rewards and future rewards. Based on the results, this algorithm effectively searched the most optimal channel for the SUs in query with the minimum search duration. This paper presents the advantage of using a machine learning approach in TVWSDB with an accurate and faster-searching capability for the available TVWS channels intended for SUs

Otra primavera

Actividad del proyecto de producción artística CePIAbierto 2018 "Residencias Compositivas y de práctica contemporánea” (RHCD 104/2018). Estreno y única función de esta versión contemporánea de “La Consagración de la Primavera” de Igor Stravinski. La música y la danza formulan un diálogo poético que narra el ritual del encuentro entre la vida y la muerte, un acercamiento entre cuerpos extasiados. Sonidos y danzas de un pasado histórico se reúnen en el escenario que desborda vitalidad del presente efímero que se encarna.Estreno y única función de esta versión contemporánea de “La Consagración de la Primavera” de Igor Stravinski.Fil: Cécere, Pablo. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Argüello, Cecilia. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Behm, Pablo. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Castiglione, Mauro. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Gerchunoff, Nicolás. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Llorens, José María. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Sosa, Ramiro. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Zanotto, Matías. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Maldonado, Soledad. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Oliva, René. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Gazal Chalhub, Octavio. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Seoane, Sol. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: González, Flavio. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Espíndola, Iván. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Sbiroli. Sara. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Rostagno, Fabio. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Zieleniewski, Bárbara. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Sol Rassi, María. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Musso, Andrea. Universidad Nacional de Córdoba. Facultad de Artes; Argentina.Fil: Rodríguez, Ezequiel. Universidad Nacional de Córdoba. Facultad de Artes; Argentina

A rough set based system for analyzing databases

Internet of Things or IOT is the future of technological automation that helps everyday living easier. An application of IOT is for building or home automation. With regards to which parts of the building, creating a smart lighting and ventilation system is one way to implement IOT. This paper aims to create a system model for smart home lights and ventilation systems where they can be monitored and controlled wirelessly with Bluetooth connection. The main controller of the lights and mechanical ventilation is the Arduino microcontroller which has a Bluetooth module that would transmit and receive signals to the end-device which is a mobile phone. The mobile phone is equipped with an application that monitors the status and allows the user to control the lights and ventilation. The group was able to create a system model for lights and ventilation control and status monitoring using a mobile device, which connects to the microcontrollers through Bluetooth connectivity in a full-duplex connection. These systems have databases, the Rough Set Theory was used to analyze them. © BEIESP

Development of a machine vision system for quality control of fruits

©2006-2019 Asian Research Publishing Network (ARPN). All rights reserved. The study aims to produce a theoretical design of a Machine Vision system. The system will be capable of looking for and identifying fruits, especially oranges, that are about to spoil. The system will make use of image processing to identify oranges and determine whether they are about to go bad. The system will serve as quality control that can be utilized by manufacturers and suppliers. The system is designed to be accurate, reliable and consistent as opposed to the human eye which is more susceptible to errors. The process of the system is as follows: the input of the images of fruits to the system, the identification of the orange using edge detection, the identification of dark spots, molds or skin peeling off the orange, and the identification that the orange is no longer qualified produce. The process that the system follows ensures the capability of the system to check for oranges that are about to go bad

Pcb/microstrip antenna design and simulation

© 2019, World Academy of Research in Science and Engineering. All rights reserved. The paper will give insights on the different types of printed circuit board (PCB) antennas. The study will also explain why the PCB antenna is continuously being developed. The paper will also explain how PCB antennas work. This research aims to create and simulate a working Printed circuit board antenna design. The study will be implemented using MATLAB and its toolboxes. The simulation will focus on the practicality of a PCB antenna and will show how it functions. The design of the PCB antenna will show the basic implementation of a smartphone antenna. The data that will be gathered will show how a smartphone antenna works in the real world. Through the data and results presented in the paper, the concept of how the signal transmission works within smartphones and how data is being sent and received will be explained. The study will give insights on how to improve upon current PCB antennas and what factors should be worked on to make more accurate, efficient and cost-efficient

Design of a low-power smart antenna system algorithm

Advanced wireless communications technology available today requires smart antennas. The design of the antenna is the most important aspect to make a feasible signal transmission. Parameters of the antenna depend on the design of the antenna. This study tackles the idea of a smart antenna system model with low-power consumption. This study proposes a model for a low-power smart antenna. The presented model includes components such as microcontroller to achieve a low power model. The paper presents the simulation and model design of this system. © 2020, World Academy of Research in Science and Engineering. All rights reserved

Modified feedback comb filter using harmonic distortion elimination for multi-channel demodulation

A comb filter is a type of elementary filter in signal processing which is implemented by adding a delayed version of a signal to the original signal. Comb filters generally exist in two general forms, these are the feed-forward and the feedback. This paper proposes a modified comb filter system that allows optimization of performance in typical applications such as conjunction with Frequency-division multiplexing (FDM). The system uses harmonic distortion elimination for multi-channel demodulation. In addition, the filter system was also constructed in Direct Form (DF) and Cascaded Form (CF) to compare the results. Results show that passing frequencies that form a geometric sequence minimizes the harmonic distortion between the passed frequencies that allows reception of several channels at once while minimizing inter-channel interference during demodulation. Moreover, the researchers also found out that the frequency ratio must be precise and accurate as much as possible because the discrepancy between a desired frequency and a received frequency is non-uniform and increasing, in the case of following a geometric sequence. © 2019 IEEE

Incontinence and constipation in adolescent patients with anorexia nervosa—Results of a multicenter study from a German web‐based registry for children and adolescents with anorexia nervosa

OBJECTIVE: Nocturnal enuresis (NE), daytime urinary incontinence (DUI), and fecal incontinence (FI) are common disorders in childhood and are frequently accompanied by comorbid psychiatric disorders. Despite a high association between urinary and fecal incontinence with psychiatric and neurodevelopmental disorders, research on comorbidity between incontinence and anorexia nervosa (AN) remains scarce. Yet, it is well known that somatic consequences of AN include metabolic and gastrointestinal disorders. The study sought to assess the prevalence of incontinence and constipation in children and adolescents with AN and to examine associations of these two symptoms with body weight at admission and with BMI changes during inpatient treatment. METHODS: Data collected between 2015 and 2017 by a multicenter German web-based registry for AN were analyzed. Three hundred and forty-eight patients with AN (96.3% female, mean age = 15.1 ± 1.8 years) were assessed regarding AN subtype, psychiatric comorbidity, body weight, incontinence, and constipation. RESULTS: Overall, 27.6% of patients had constipation, 1.8% had NE and 1.8% DUI. Prevalence of constipation did not significantly differ between AN subtypes. Constipation did not lead to any significant differences in weight/BMI changes during inpatient treatment. DISCUSSION: This is the largest study of incontinence and constipation in patients with AN, so far. Our results indicate that constipation is highly prevalent in adolescent patients with AN and reflects a clinically relevant condition. Despite, patients with AN do not have an increased prevalence of incontinence compared with the general population. Future studies should include medical examinations like ultrasound and physical examination of the lower abdomen to evaluate the severity of constipation