Geometric constraint graphs decomposition based on computing graph circuits

Geometric constraint solving is a growing field which plays a paramount role in industrial applications and that is deeply rooted in automated deduction in geometry. In this work we report on an algorithm to solve geometric constraint-based problems by decomposing biconnected graphs. The algorithm is based on recursively splitting the graph through sets with three vertices located on fundamental circuits of the graph. Preliminary practical experiments suggest that the algorithm runtime is at worst quadratic with the total number of vertices in the graph.Postprint (published version

Quí-Bot-H2O challenge: integration of computational thinking with chemical experimentation and robotics through a web-based platform for early ages including gender, inclusive and diversity patterns

Quí-Bot-H2O is a research project in teaching innovation and scientific dissemination that joins two disciplines with high potential and demand of professionals in our society: chemistry and programming. The project includes the design of a set of activities with robots to solve several chemical experiences and programming challenges adapted to the Spanish academic curriculum of early childhood education according to ORDER ECI/3960/2007. The Quí-Bot-H2O Project has been included in the gender equality lines of action of the two reference territorial public administrations for UPC in Manresa (Bages County Council and the Manresa City Council). The Spanish Ministerio de Economía y Competitividad supports the Quí-Bot-H2O challenge under Grant FECYT2021-15626, Line of action 2. Education and scientific vocations (2nd place out of 63 awarded and 150 denied).The Quí-Bot-H2O challenge is supported by the Spanish Ministerio de Economía y Competitividad under Grant FECYT2021-15626, Line of action 2. Education and scientific vocations.Peer ReviewedObjectius de Desenvolupament Sostenible::5 - Igualtat de GènereObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraObjectius de Desenvolupament Sostenible::10 - Reducció de les DesigualtatsObjectius de Desenvolupament Sostenible::4 - Educació de QualitatPostprint (author's final draft

Geometric constraint graphs decomposition based on computing graph circuits

Geometric constraint solving is a growing field which plays a paramount role in industrial applications and that is deeply rooted in automated deduction in geometry. In this work we report on an algorithm to solve geometric constraint-based problems by decomposing biconnected graphs. The algorithm is based on recursively splitting the graph through sets with three vertices located on fundamental circuits of the graph. Preliminary practical experiments suggest that the algorithm runtime is at worst quadratic with the total number of vertices in the graph.Postprint (published version

Decomposition of geometric constraint graphs based on computing fundamental circuits

The graph-based geometric constraint solving technique works in two steps. First the geometric problem is translated into a graph whose vertices represent de set of geometric elements and whose edges are the constraints. Then the constraint problem is solved by decomposing the graph into a colection of subgraphs each representing a standard problem which is solved by a dedicated equational solver. In this work we report on an algorithm to decompose biconnected graphs representing geometric constraint problems. The algorithm is based on recursively splitting the graphs through terns of vertices located on fundamental circuits of the graph. Preliminar experiments suggest that the algorithm runtime is at worst quadratic with the total number of vertices in the graph. In a case study we illustrate how the algorithm works.Postprint (published version

Mentoria, tutorització i coordinació : les claus per a la millora del rendiment i reducció de l’abandonament a la fase inicial

L’abandonament de l’estudiantat en els primers cursos és un problema molt habitual a les universitats, especialment a les enginyeries i, per tant, la UPC no és una excepció. Com a universitat pública tenim el compromís de donar servei i aprofitar els recursos de la manera més eficient possible, per tant, és important evitar al màxim els abandonaments i millorar l’aprenentatge dels estudiants. Estudiar el problema, trobar-ne les causes i aplicar eines per reduir l’abandonament, ha estat la motivació d’aquest projecte. A la vegada, també es tractava de millorar l’aprenentatge dels estudiants i la seva motivació. Hem posat el focus en el centre on desenvolupem la nostra tasca docent, l’Escola Politècnica Superior d'Enginyeria de Manresa (EPSEM), on la taxa d’abandonament és significativa

Architecting an open-source IIoT framework for real-time control and monitoring in the bioleaching industry

Electronic waste (e-waste) contains toxic elements causing an important impact on environmental and human health. However, the presence of valuable metals, such as copper or gold, among others, make recycling a necessity for obtaining an alternative source of raw materials. Conventional metal recovery methods are environmentally unsound, prompting the exploration of greener alternatives like bioleaching, which utilizes the activity of microorganisms for a more sustainable recovery. However, the mechanisms involved in the process and the conditions to optimize the metabolic paths are still not completely known. Monitorization and automatization of the different stages composing the global process are crucial for advancing in the implementation of this novel technology at an industrial scale. For the first time, an open-source industrial IoT system is designed to enhance and regulate bioleaching by implementing real-time monitoring and control within the plant’s infrastructure. This system includes an Android app that displays real-time plant data from sensors and a robust server featuring a flexible application programming interface (API) for future applications. The app caters to specific needs such as remote sensor reading, actuator control, and real-time bioleaching alerts, ensuring secure access and proactive event management. By utilizing collected data, it minimizes downtime, equipment failures, and supply chain disruptions. The server maintains seamless communication with the plant controller, enabling efficient pump activation and sensor data transmission. A telegram bot demonstrates the API’s flexibility by forwarding plant alerts to users. During validation with concurrent remote user access, the application demonstrated its ability to prevent irreversible plant failures through an advanced alarm system. Ultimately, this IIoT system amplifies plant performance, safety, and efficiency by optimizing processes and decision-making capabilities. It emerges as a pivotal open-source tool, securing remote oversight and management of large-scale bioleaching plants, promising adaptability for future enhancements.Authors acknowledge the Spanish Government, through the project PID2020-117520RA-I00 for the financial support provided to perform this research. Authors also acknowledge Ramon Miquel for his contribution during the participation in the project.Peer ReviewedObjectius de Desenvolupament Sostenible::13 - Acció per al ClimaObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraPostprint (published version

Sparking the interest of girls in computer science via chemical experimentation and robotics: the Qui-Bot H2O case study

We report a new learning approach in science and technology through the Qui-Bot H2O project: a multidisciplinary and interdisciplinary project developed with the main objective of inclusively increasing interest in computer science engineering among children and young people, breaking stereotypes and invisible social and gender barriers. The project highlights the social aspect of robotics applied to chemistry, at early ages. We successfully tested the project activities on girls between 3 to 13 years old. After taking part in the project, the users rated their interest in science and technology to be higher than before. Data collected during experiences included background information on students, measurements of the project’s impact and students’ interest in it, and an evaluation of student satisfaction of this STEM activity. The Qui-Bot H2O project is supported by the actions of territorial public administrations towards gender equality and the contributions of humanistic and technological universities and entities which specialize in education and business.This research was funded by the Spanish Ministerio de Ciencia e Innovación under Grant FECYT FCT-20-15626, Line of action 2. Education and scientific vocations (2nd place out of 120 awarded).Peer ReviewedObjectius de Desenvolupament Sostenible::4 - Educació de QualitatObjectius de Desenvolupament Sostenible::5 - Igualtat de GènereObjectius de Desenvolupament Sostenible::9 - Indústria, Innovació i InfraestructuraObjectius de Desenvolupament Sostenible::10 - Reducció de les DesigualtatsPostprint (published version

El llenguatge Java

Postprint (published version

Topology, string tension and glueball masses in an intermediate volume SU(3) lattice gauge theory

SIGLEAvailable from British Library Document Supply Centre- DSC:8053.4153(RAL--89-081) / BLDSC - British Library Document Supply CentreGBUnited Kingdo