Publication: Prácticas adaptadas inclusivas para el desarrollo de tecnologías emergentes en docencia Tic (Reconnet)
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2019-08-01
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Abstract
Los objetivos alcanzados en el proyecto han sido:
I) Continuar la preparación del framework de desarrollo rápido de código VHDL sobre FPGAs de Altera a partir de código Matlab y del entorno gráfico Simulink realizado en el proyecto ALLIANCE (PID 217 CONV. 16/17) útil y ACCESIBLE para diseño rápido de aplicaciones en asignaturas de ciencia y tecnología.
II) Aplicar el propio entorno semiautomático dentro de asignaturas específicas de diseño hardware como Sist. Empotrados Distribuidos, analizando el compromiso de la curva de aprendizaje frente a la optimalidad de la solución y comparándola para estas asignaturas frente a técnicas tradicionales.
III) Adaptación de material inclusivo para usar como caso de estudio inmediato asignaturas relacionadas en el Máster de Secundaria (Especialidad en Informática y Tecnología) por cercanía de contenidos y afinidad técnica.
The objectives achieved in the project have been: I) Continue the preparation of the rapid development framework of the VHDL code in FPGA from the Matlab code and the Simulink graphic environment carried out in the ALLIANCE project (PID 217 CONV. 16/17) useful and accessible for rapid application design in science and technology subjects. II) Apply the semi-automatic environment itself within specific subjects of hardware design, such as Embedded Systems, analyzing the commitment of the learning curve with the optimization of the solution and the comparison of these subjects with traditional techniques. III) Adaptation of inclusive material for use as related case studies related subjects in the Master based on teachers of secondary education (Specialization in Computer Science and Technology) by proximity of content and technical affinity.
The objectives achieved in the project have been: I) Continue the preparation of the rapid development framework of the VHDL code in FPGA from the Matlab code and the Simulink graphic environment carried out in the ALLIANCE project (PID 217 CONV. 16/17) useful and accessible for rapid application design in science and technology subjects. II) Apply the semi-automatic environment itself within specific subjects of hardware design, such as Embedded Systems, analyzing the commitment of the learning curve with the optimization of the solution and the comparison of these subjects with traditional techniques. III) Adaptation of inclusive material for use as related case studies related subjects in the Master based on teachers of secondary education (Specialization in Computer Science and Technology) by proximity of content and technical affinity.
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[1] Creación de un clúster de computación científica basado en FPGAs de bajo coste y consumo
https://eprints.ucm.es/43993/1/TFM_Memoria_HernandezG arciaMariano.pdf
[2] Generación de código mediante HDL Coder para procesamiento y clasificación de imágenes biomédicas. https://eprints.ucm.es/43992/
[3] Clasificador completo de células sanguíneas mediante una FPGA de bajo coste, MATLAB y SIMULINK. https://eprints.ucm.es/43991/
[4] M. Hernández, AAD Barrio, G. Botella “Cluster de computación científica de bajo coste y consumo” Enseñanza y Aprendizaje de Ingeniería de Computadores. UGR.
http://digibug.ugr.es/handle/10481/15146
[5] D. Fariña, G. Botella, A.A.D. Barrio. A DCT and neural network-based system to obtain the characteristics of biological images. Proceedings of the summer simulation multi-conference, Society for Computer Simulation International (2017), p. 26
[6] H Fabregat, AAD Barrio, G Botella Simulation and implementation of a low-cost platform to improve the quality of biological images. Proceedings of the summer simulation multi-conference, Society for Computer Simulation International (2017)
[7] Botella, G., Ros, E., Rodríguez, M., García, A., & Romero, S. (2006, May). Pre-processor for bioinspired optical flow models: a customizable hardware implementation. In MELECON 2006-2006 IEEE Mediterranean Electrotechnical Conference (pp. 93-96). IEEE.
[8] Olmos, A. M., Botella, G., Castillo, E., Morales, D. P., Banqueri, J., & García, A. (2012). A reconstruction method for electrical capacitance tomography based on image fusion techniques. Digital Signal Processing, 6(22), 885-893.
[9] Garcia, C., Botella, G., Ayuso, F., Prieto, M., & Tirado, F. (2013). Multi-GPU based on multicriteria optimization for motion estimation system. EURASIP Journal on Advances in Signal Processing, 2013(1), 23.
[10] Fernández, D. G., Del Barrio, A. A., Botella, G., & García, C. (2018). Fast and effective CU size decision based on spatial and temporal homogeneity detection. Multimedia Tools and Applications, 77(5), 5907-5927.
[11] Poljicak, A., Botella, G., Garcia, C., Kedmenec, L., & Prieto-Matias, M. (2018). Portable real-time DCT-based steganography using OpenCL. Journal of Real-Time Image Processing, 14(1), 87-99.