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CLASSPARENT
- Jurado-Guerrero, Teresa
- Fernandez-Lozano, Irina
- Castellanos-Serrano, Cristina
- Aragón Martínez, Violeta
- Dominguez-Folgueras, Marta
- Bogino, Victoria
DATA ON THE IMPACT OF COMPULSORY VS NON-COMPULSORY BILINGUAL PROGRAMMES ON TEACHERS' ATTITUDES AND PERCEPTIONS
- Senra Silvia, Inmaculada
- Ardura, Diego
- Chacón-Beltrán, Rubén
ESTUDIO SOBRE USO Y ACTITUD DE LA POBLACIÓN INTERNAUTA ANTE LOS SERVICIOS QUE OFRECEN LOS PORTALES WEB DE EMISORAS DE RADIO
- Manuel Gertrudix Barrio
- Felipe Gértrudix Barrio
- Francisco García García
- María del Carmen Gertrudis Casado
STUDY OF MESOSTRUCTURED CEO2 SYNTHESIS VIA NANOCASTING USING SBA-15 AS A TEMPLATE: INFLUENCE OF THE CERIUM PRECURSOR
- MORENO DE LA CALLE, Alvaro
- Vizcaíno, Arturo
- CARRERO, ALICIA
- Calles, Jose A
- MEGIA, Pedro J.
COMPETENCIAS Y NECESIDADES EN LA CARRERA EMPRENDEDORA
- Sánchez García, María Fe
- Suárez-Ortega, Magdalena
- Soto González, María Dolores
- Alvarado Blanquer, Alicia
- Ortega Leal, María Pilar
- Gálvez García, Rocío
- Padilla Carmona, Teresa
- Ortega Torres, Enric
- Lucas Mangas, Susana
- Martínez García, Inmaculada
- Chisvert Tarazona, María José
- Rodríguez Fernández, Sonia
- González Monteagudo, José
- Cano Escoriaza, Jacobo
- Palomares Moreno, Davinia
- Rodríguez Martínez, Ana
- Álvarez González, Beatriz
- Méndez Lois, M. José
HYDROGEN PRODUCTION THROUGH OXIDATIVE STEAM REFORMING OF ACETIC ACID OVER BIMETALLIC NI-M (M: PT, RU, RH) CATALYSTS SUPPORTED ON MESOSTRUCTURED CEO2
- MORENO DE LA CALLE, Alvaro
- Chirinos Chavez, Carlos Andres
- Vizcaíno, Arturo
- Calles, Jose A
- CARRERO, ALICIA
- MEGIA, Pedro J.
ACOUSTIC IMPULSE RESPONSE FOR THE DETECTION OF INTERNAL QUALITY IN SEEDLESS WATERMELON
- Diezma Iglesias, Belén
- Barreiro Elorza, Pilar
- Ruiz Altisent, Margarita
Recent commercialisation of seedless watermelon varieties relies on the guarantee of a high quality product. Several internal defects may deteriorate greatly this fruit: (a) creases and/or large voids in the flesh, (b) overripeness and (c) bruises due to impact. The objective of this research was to develop a feasible non-destructive procedure for detecting these defects in individual fruits, based on acoustic impulse response.
A device consisting of a microphone, structural elements and a mechanical impact generator was designed and tested. Good and defective seedless watermelons were tested with the acoustic device. Spectral parameters were examined as potential non-destructive predictors of internal disorders. Waveband magnitude parameters, obtained by summing the magnitude of the spectrum between two frequencies in a specified band width (always including between 40 and 500 Hz), were the acoustic parameters showing the best ability to detect internal disorders.
Dataset description
The acoustic response of 158 watermelons measured by hitting the fruit with an impactor and detecting the output sound by a microphone on the opposite side and 90º (as referred in derived publication and PhD thesis, see further details in this file)Metodology
Each watermelon was acoustically excited on two positions, both around the equator and rotated 908. Nine measurements, divided in groups of three repetitions for the same location, together with three locations were performed at each position, therefore 18 measurements in each fruit. Positions identify the different areas of fruit where the impact is applied, locations indicate that the fruit is taken and relocated on the same position after some time, and repetitions refer to repeated data taken without changing or touching the fruit.
Acoustic measurements were taken with a device designed and tested by consecutive phases of approximation to the final solution. The laboratory recording system used to acquire the acoustic impulse information is comprised a prepolarised free-field 12mm microphone type 4189 B&K, of a frequency range from 6 3 to 20 kHz and a sensitivity of 50mVPa 1. A signal conditioning amplifier NEXUS B&K supplied power and provided electrical loading to the transducer, amplified the signal, provided appropriate output drive signal and facilitated the selection of the optimum band-pass filters. A microphone preamplifier type 2673 B&K completed the recording system. The preamplifier amplified the signal from the microphone.
A user friendly Windows-based software, ‘SanSon 1 2’, was developed for the control of the process and the register of data, providing an easy output to be used with Microsoft Excel. The software shows in the screen the acoustic signal ‘time versus intensity’ for each test, and saves it in an ASCII file.
A fast Fourier transform (FFT) of the signal was performed to determine the frequency spectrum, and subsequently, the natural frequencies of the watermelons. Sampling at 40 kHz for 4096 points results in a frequency resolution for the FFT of 9 766 Hz. A normalised spectrum was obtained by dividing the magnitude at each frequency by the maximum magnitude of the spectrum (see publication). Different acoustic parameters were evaluated for spectral characterisation: resonant frequency, maximum amplitude of the spectrum and band magnitude (BM) of the acoustic spectrum. The frequency resolution for the spectrum (9 766 Hz) is not very narrow. Therefore it is difficult to obtain a good segregation based on the resonant frequency, unless higher differences than the resolution occur between hollow and sound watermelons. This handicap may be overcome by defining the integral in the spectrum or BMs.
REGULAT_CONTX_ADDICT
- Holgado-Tello, Fco. Pablo
- Carrasco, Miguel A.
- Delgado, Begoña
- Sierra-García, Purificación
- Isabel Ramirez
- Izquierdo-Sotorrío, Eva
- Maria Jose Gonzalez Calderon
- Jose Javier Moya
- Cadiz, Julian
- Ana Huertes
- Eslava, Dalila
CONDICIONANTES DE ELECCIÓN Y ADAPTACIÓN ACADÉMICA
- Moreno-Yaguada, Paulina Elisabeth
- Sánchez-García, María Fe
- Vaca Gallegos, Silvia Libertad
REY-OSTERRIETH COMPLEX FIGURE DATASET (BINARY IMAGES) / CONJUNTO DE DATOS DE FIGURAS COMPLEJAS DE REY-OSTERRIETH (IMÁGENES BINARIAS)
- Juan Guerrero Martín
- Alba Gómez-Valadés Batanero
- Estela Díaz López
- Margarita Bachiller Mayoral
- José Manuel Cuadra Troncoso
- Rafael Martínez Tomás
- Sara García Herranz
- María del Carmen Díaz Mardomingo
- Peraita, Herminia
- Mariano Rincón Zamorano
Description of the project
This dataset is the result of the research carried out in the project "A Benchmark for Rey-Osterrieth Complex Figure (ROCF) Test Automatic Scoring", whose main goal was to establish a baseline for the scoring task consisting of: a dataset with 528 ROCF and results obtained by several deep learning models, as well as, by a group of psychology experts.,Description of the dataset
This dataset contains a single folder with 528 binary images of Rey-Osterrieth Complex Figures.,Methodology
The methodology used to collect the data consists of 4 steps:- Step 1. Pencil drawing of 528 Rey-Osterrieth Complex Figures by 241 participants.
- Step 2. Drawings are scanned, cropped and cleaned of annotations.
- Step 3. The resulting images are rescaled to 384x384 pixels.
- Step 4. The images are binarized and their color is inverted.
Descripción del proyecto
El contenido de este dataset es resultado de la investigación llevada a cabo en el proyecto "Banco de Pruebas para la Puntuación Automática del Test de la Figura Compleja de Rey-Osterrieth (FCRO)", cuyo objetivo principal era el de establecer una línea base para dicha tarea que incluye: un dataset con 528 FCRO y resultados obtenidos por varios modelos de aprendizaje profundo, así como, por varios profesionales de la psicología.,Descripción del dataset
Este dataset contiene una única carpeta con 528 imágenes binarias de figuras complejas de Rey-Osterrieth.,Metolodogía
La metodología empleada para la obtención de los datos incluye 4 etapas:- Etapa 1. Dibujado a lápiz de 528 figuras complejas de Rey-Osterrieth por parte de 241 participantes.
- Etapa 2. Los dibujos son escaneados, recortados y limpiados de anotaciones.
- Etapa 3. Las imágenes resultantes son re-escaladas a tamaño 384x384 píxeles.
- Etapa 4. Las imágenes son binarizadas y su color se invierte.