Comunicaciones y ponencias de congresos DING - INGS Biltzarretako komunikazioak eta txostenak

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Browsing Comunicaciones y ponencias de congresos DING - INGS Biltzarretako komunikazioak eta txostenak by Department/Institute "Estatistika, Informatika eta Matematika"

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    PublicationOpen Access
    Automatic detection of high-voltage power lines in LiDAR surveys using data mining techniques
    (Springer, 2020) Chasco Hernández, Daniel; Sanz Delgado, José Antonio; García Morales, Víctor; Álvarez-Mozos, Jesús; Ingeniería; Estadística, Informática y Matemáticas; Ingeniaritza; Estatistika, Informatika eta Matematika
    The correct classification of power lines in LiDAR point clouds has attracted the interest of the mapping community in the last years. The objective of this research is the detection and automatic extraction of high-voltage transmission lines from LiDAR data using data mining techniques. With this aim, a Single Photon LiDAR (SPL) survey acquired over the region of Navarre (Spain) in 2017 was used, with a mean point density of 14 pt/m2. Different data mining techniques were evaluated, including decision trees (C4.5 and CART) and ensemble learning algorithms (Random Forests, Bagging and AdaBoost). Fifteen test sites were studied corresponding to areas with high-voltage power lines over different conditions regarding the underlying vegetation and topography. For these sites 92,104 LiDAR points were identified as power lines and more than 4M points as not power lines using existing cartography. This dataset was randomly split in train and test sets and then balanced two obtain a similar amount of data for the two classes. The results obtained show the importance of balancing the training data with improvements in accuracy of ~10% with respect to the imbalanced case. Accuracies higher than 87% were obtained in all balanced cases, with particularly successful results for ensemble learning techniques, being AdaBoost the technique with the highest accuracy 91%. These results suggest that the combination of SPL surveys and data mining tools can be successfully used for the operational mapping of high voltage power lines.
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    PublicationOpen Access
    Initiative to increment the number of women in STEM degrees: women, science and technology chair of the Public University of Navarre
    (IEEE, 2020) Aranguren Garacochea, Patricia; San Martín Biurrun, Idoia; Catalán Ros, Leyre; Martínez Ramírez, Alicia; Jurío Munárriz, Aránzazu; Díaz Lucas, Silvia; Pérez Artieda, Miren Gurutze; Gómez Fernández, Marisol; Barrenechea Tartas, Edurne; Estadística, Informática y Matemáticas; Ingeniería; Ingeniería Eléctrica, Electrónica y de Comunicación; Estatistika, Informatika eta Matematika; Ingeniaritza; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren; Gobierno de Navarra / Nafarroako Gobernua; Universidad Pública de Navarra / Nafarroako Unibertsitate Publikoa
    The Public University of Navarre joined with Navarre Government has created the Women, Science and Technology Chair. This chair arises due to the plummeting tendency of the percentage of women in STEM degrees with the aim of reversing this trend. The programme of activities is defined throughout this contribution by six activities: a Theatre Play, a Poster Award on Final Degree/Masters Project, The 1st Week of Women, Science and Technology, the Promotion of Technical Degrees in schools and high-schools, a Workshop about Gender Stereotypes and the Fostering of Women among Science and Environment. Each activity gained great success and the preset goals were highly accomplished, especially, the 1st Week of Women, Science and Technology activity. The latter achieved a great success both in participation and in repercussion, contributing to visualize the role of women in science and technology.
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    PublicationOpen Access
    Smarterial – Smart matter optomagnetic
    (2021) Irisarri Erviti, Josu; Marzo Pérez, Asier; Galarreta Rodríguez, Itziar; Estatistika, Informatika eta Matematika; Ingeniaritza; Zientziak; Institute of Smart Cities - ISC; Institute for Advanced Materials and Mathematics - INAMAT2; Estadística, Informática y Matemáticas; Ingeniería; Ciencias
    Smart materials, also known as programmable materials, are a combination of different components that have the capability to change shape, move around and adapt to numerous situations by applying an external controllable field. Previous works have used optically guided matter or magnetically actuated materials, but similarly to soft robots, they are limited in spatial resolution or strength. Here we propose combining a low temperature thermoplastic polymer Polycaprolactone (PCL) with ferromagnetic powder particles (Fe). Focused light can heat this compound at specific locations and make it malleable. These heated spots can be actuated by external magnetic fields. Once the material cools down, this process can be repeated, or reversed. The compound can be actuated contact-less in the form of 3D slabs, 2D sheets, and 1D filaments. We show applications for reversible tactile displays and manipulation of objects. The laboratory team has characterised the density, weight, magnetic attraction, magnetic force, phase change, thermal and electrical conductivity and heat difusión (spread point test) for smart ferromagnetic compounds of different mixture proportions. The main advantages of this smart matter optomagnetic are the high spatial resolution of light and the strong force of magnetic attraction whilst mechanical properties of polymers are practically conserved. Due to the low temperature required and the possibility to use infrared or electromagnetic induction to heat the compound, the smart material can be used in air, water, or inside biological tissue. Eventually, Smart materials will enrich collaborative movements, such as grab and hold, and more complex ones, as reshaping and reassembling.
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    PublicationOpen Access
    Women, Science and Technology Chair—Promoting women’s careers in stem fields
    (IEEE, 2023) Pérez Artieda, Miren Gurutze; Gómez Fernández, Marisol; Aranguren Garacochea, Patricia; Barrenechea Tartas, Edurne; Catalán Ros, Leyre; Díaz Lucas, Silvia; Jurío Munárriz, Aránzazu; Martínez Ramírez, Alicia; Millor Muruzábal, Nora; Ortiz Nicolás, Amalia; San Martín Biurrun, Idoia; Estadística, Informática y Matemáticas; Ingeniería; Ingeniería Eléctrica, Electrónica y de Comunicación; Estatistika, Informatika eta Matematika; Ingeniaritza; Ingeniaritza Elektrikoa, Elektronikoaren eta Telekomunikazio Ingeniaritzaren
    The Chair of Women, Science and Technology of the Universidad Pública de Navarra (UPNA) aims to increase the participation of women in the fields of science and technology. Scientific culture and dissemination are the main focus of the different actions of the Chair. These activities include: the theatrical performance "Yo quiero ser científica", experimental workshops and conferences and exhibitions for all audiences and ages. More than 6.000 people have seen the play, more than 1.500 secondary school students have participated in the workshops and the audiovisual material has received more than 20.000 visits.