2 research outputs found

    Desarrollo de un compilador de un lenguaje de programación original para facilitar el proceso de aprendizaje de programación en estudiantes de bachillerato

    Get PDF
    Desarrollar un compilador de un lenguaje de programación original para facilitar el proceso de aprendizaje de programación en estudiantes de bachillerato.Se cree que los estudiantes de bachillerato en Ecuador podrían captar mejor la materia de programación aprendiéndola en su lengua materna usando palabras en español. Viendo la alta tasa de estudiantes que repiten las materias de programación o que salen de las carreras de Ingeniería en Sistemas Computacionales e Ingeniería en Software en la FICA de la UTN, se ha llegado a la conclusión la necesidad de mayor comprensión previa sobre estos temas de programación y aprendizaje de lenguajes formales. Para cumplir con esto, tras una revisión profunda de literatura sobre la temática, se ha propuesto crear un compilador desarrollado para un nuevo lenguaje con un léxico y gramática sencillos. Las palabras reservadas del léxico son en español para eliminar la barrera de lenguaje durante el aprendizaje inicial. También hay funcionalidades multimediales para aumentar el interés y cerrar la brecha de género que existe en el campo informático. El compilador fue evaluado mediante pruebas de usuario y encuestas. De las personas que probaron el compilador, hubo 53% de compilaciones acertadas. La eficiencia de desempeño y adecuación funcional, como características de calidad del compilador, muestran niveles tolerables. Según los datos de la encuesta, el usar el Compilador Cóndor puede servir como punto de partida en el aprendizaje de la programación e incluso aumentar el interés en ella.Ingenierí

    Advances in Computational Intelligence [electronic resource] : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22–27, 2018, Proceedings, Part II /

    No full text
    The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.Knowledge Representation, Reasoning, and Optimization -- Coding 3D connected regions with F26 chain code -- Finding optimal farming practices to increase crop yield through Global-best Harmony Search and predictive models, a data-driven approach -- On the Modelling of the Energy System of a Country for Decision Making Using Bayesian Artificial Intelligence { A case study for Mexico -- Natural Language Processing -- Enhancement of performance of document clustering in the authorship identification problem with a weighted cosine similarity -- Exploring the Context of Lexical Functions -- Towards a Natural Language Compiler -- Comparative analysis and implementation of semantic-based classifiers -- Best Paper award, second place: Topic-Focus Articulation: A Third Pillar of Automatic Evaluation of Text Coherence -- A Multilingual Study of Compressive Cross-Language Text Summarization -- WiSeBE: Window-based Sentence Boundary Evaluation -- Readability Formula for Russian Texts: a Modified Version -- Timed automaton RVT-grammar for workflow translating -- Extraction of Typical Client Requests from Bank Chat Logs -- A Knowledge-based Methodology for Building a Conversational Chatbot as an Intelligent Tutor -- Top-k Context-Aware Tour Recommendations for Groups -- A Knowledge-based Weighted kKNN for Detecting Irony in Twitter -- Model for Personality Detection based on Text Analysis -- Analysis of Emotions through Speech Using the Combination of Multiple Input Sources with Deep Convolutional and LSTM Networks -- Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals -- Tensor Decomposition for Imagined Speech Discrimination in EEG -- Robotics and Computer Vision -- A new software library for mobile sensing using FIWARE technologies -- Free model task space controller based on adaptive gain for robot manipulator using Jacobian estimation -- Design and Equilibrium Control of a Force-Balanced One-Leg Mechanism -- An Adaptive Robotic Assistance Platform for Neurorehabilitation Therapy of Upper Limb -- ROBMMOR: An experimental robotic manipulator for motor rehabilitation of knee -- A Bio-inspired Cybersecurity Scheme to Protect a Swarm of Robots -- Chaos optimization applied to a beamforming algorithm for source location -- Data Augmentation in Deep Learning-based Obstacle Detection System for Autonomous Navigation on Aquatic Surfaces -- Best Paper award, third place: Combining Deep Learning and RGBD SLAM for Monocular Indoor Autonomous Flight.The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision
    corecore