Evaluation of the Interface Prototypes Using DGAIU Abstract Representation Models

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Image Segmentation using Tissue-like P Systems with Multiple Auxiliary Cells

We present a solution of the segmentation problem using a distributed, non deterministic and parallel computational model known as tissue-like P systems. We present a new technique to segment images with respect to the algorithm appeared in [1], where we use multiple auxiliary cells and not only one

Triangle mesh compression and homological spanning forests

Triangle three-dimensional meshes have been widely used to represent 3D objects in several applications. These meshes are usually surfaces that require a huge amount of resources when they are stored, processed or transmitted. Therefore, many algorithms proposing an efficient compression of these meshes have been developed since the early 1990s. In this paper we propose a lossless method that compresses the connectivity of the mesh by using a valence-driven approach. Our algorithm introduces an improvement over the currently available valence-driven methods, being able to deal with triangular surfaces of arbitrary topology and encoding, at the same time, the topological information of the mesh by using Homological Spanning Forests. We plan to develop in the future (geo-topological) image analysis and processing algorithms, that directly work with the compressed data

Designing Tissue-like P Systems for Image Segmentation on Parallel Architectures

Problems associated with the treatment of digital images have several interesting features from a bio-inspired point of view. One of them is that they can be suitable for parallel processing, since the same sequential algorithm is usually applied in different regions of the image. In this paper we report a work-in-progress of a hardware implementation in Field Programmable Gate Arrays (FPGAs) of a family of tissue-like P systems which solves the segmentation problem in digital images.Ministerio de Ciencia e Innovación TIN-2009-13192Junta de Andalucía P08-TIC-04200Junta de Andalucía PO6-TIC-02268Ministerio de Educación y Ciencia MTM2009-1271

Image Segmentation Inspired by Cellular Models using hardware programming

Several features of image segmentation make it suitable for bio–inspired techniques. It can be parallelized, locally solved and the input data can be easily encoded using representations inspired by nature. In this paper, we present a new hardware system that follows the Membrane Computing approach, and performs edge–based segmentation, noise removal and thresholding of digital images

The CONDAP VOOC an autonomous modular course to improve skills, knowledge and competencies in sustainable construction

[EN] The CONDAP VOOC is a self-standing modular course for in-company mentors, who need to improve their skills, knowledge and competencies in sustainable construction using digital technologies in energy conservation and green generation. The CONDAP online course, was developed in the context of the third Intellectual Output, aiming to act as the main delivery method for the CONDAP curriculum and educational resources. The CONDAP VOOC, available in all partnership languages, has been grounded on evidence-based learning outcomes (coming out from extended labour market and skill needs analysis), reflects the structure of the developed curriculum as organized around learning units and lessons, and comprises (contextualized) the project’s training and assessment materials in an online form. It also integrates additional pedagogical resources such as video units, infographics, working assignments, and collaboration mechanisms to provide an optimal learning experience with increased collaboration opportunities. Overall, the CONDAP VOOC offers a modular, e-learning scheme, always available over the Internet, that supports the attainment of learning outcomes and places the “learner” at the heart of the educational process. The learner is given the flexibility to establish individuals learning goals and a personal learning path based on available content and materials.This work has been conducted within the framework of the CONDAP project "Digital skills for workplace mentors in construction sector apprenticeships" funded by the European Commission within the Key Action 2: Cooperation for innovation and the exchange of good practices, reference number 2018-1-UK01-KA202-048122.Cárcel Carrasco, FJ.; Peñalvo López, E.; Carnero, M.; Palmero Iglesias, LM. (2022). The CONDAP VOOC an autonomous modular course to improve skills, knowledge and competencies in sustainable construction. En Proceedings INNODOCT/21. International Conference on Innovation, Documentation and Education. Editorial Universitat Politècnica de València. 147-154. https://doi.org/10.4995/INN2021.2021.1342414715

2021 Report of the Workshop on Mackerel, Horse Mackerel and Hake Eggs Identification and Staging (WKMACHIS)

The Workshop on Mackerel, Horse Mackerel and Hake Egg Identification and Staging (WKMACHIS) is part of a series of workshops (WKMHMES, WKFATHOM) that aim to stand- ardise the process of fish egg identification and staging. Since 2000, this workshop is held in autumn of each year prior to the triennial mackerel and horse mackerel egg survey. In 2021, however, the workshop had to be held online for the first time due to the continuing SARS-CoV2 pandemic. All egg identification and staging during the workshop were undertaken using im- ages on the SmartDots WebApp, as opposed to real samples under microscopes. In advance of the workshop eggs were, however, sent to participants to be identified and staged under the microscope. The majority of the time at the workshop was spent completing 2 rounds of identifying and staging mackerel, horse mackerel, hake and similar looking eggs. The results promoted discus- sion and highlighted specific problem areas. These discussions enabled further development of standard protocols, and enhancements to the species and stage descriptions. The results were reassuring and improved from the first to the second round of the exercises. However, and par- ticularly in horse mackerel, bias in correctly identifying stage 1 eggs was higher than in previous workshops for both, experts and non-experts. These results can almost exclusively be explained by the change in workshop methodology that saw a move from a live view of the fish eggs to images. As the mackerel and horse mackerel egg surveys are carried out once every three years, the workshop functions as a refresher for expert survey participants and as an introduction for new participants in egg analyses. It should however be realised that one week of workshop for egg identification and staging, particularly if carried out online and based on images, is not sufficient to train new participants. Institutes should ensure newcomers receive a thorough training whilst also allowing more experienced participants to refresh their knowledge ahead of the survey. Again, as all previous workshops, the meeting demonstrated the importance of conducting the workshop a few months ahead of the mackerel and horse mackerel egg survey. For several val- uable fish stocks in the Northeast Atlantic, the survey delivers the only fishery independent SSB indices based on correctly identified and staged fish eggs. Ongoing discussion and training for consistency is, therefore, imperative. While many participants had problems working with im- ages only, the use of image-based systems for (egg) analysis will become a central part of future workshops

Gu?a r?pidas de consultor?a telef?nica m?dica y de enfermer?a

Gu?a de consulta para o persoal m?dico e de enfermar?a que desenvolve o seu traballo en centros de coordinaci?n telef?nica para a atenci?n ?s urxencias e ?s emerxencias sanitarias. Est? estruturada en 12 cap?tulos nos que describen os principais protocolos de actuaci?n para a asistencia ?s patolox?as m?is com?ns atendidas no ?mbito de urxencias extra hospitalarias.Gu?a de consulta para el personal m?dico y de enfermer?a que desarrolla su trabajo en centros de coordinaci?n telef?nica para la atenci?n a las urgencias y a las emergencias sanitarias. Est? estructurada en 12 cap?tulos en los que describen los principales protocolos de actuaci?n para la asistencia a las patolog?as m?s comunes atendidas en el ?mbito de urgencias extra hospitalarias