A new technique based on the Band-Limited Phase-Only Correlation (BLPOC) function to deal with acoustic individual identification is proposed in this paper. This is a biometric technique suitable for limited data individual bird identification. The main advantage of this new technique, in contrast to traditional algorithms where the use of large-scale datasets is assumed, is its ability to identify individuals by the use of only two samples from the bird species. The proposed technique has two variants (depending on the method used to analyze and extract the bird vocalization from records): automatic individual verification algorithm and semi-automatic individual verification algorithm. The evaluation of the automatic algorithm shows an average precision that is over 80% for the identification comparatives. It is shown that the efficiencies of the algorithms depend on the complexity of the vocalizations.
26 July 2019 in Turkish Journal of Electrical Engineering and Computer Sciences
El estudio analiza el funcionamiento de tres telesecundarias comunitarias en Aguascalientes desde el enfoque del currículum oculto. A partir de entrevistas y grupos focales, se evidenció que su fortaleza radica en el compromiso pedagógico y social de los docentes, la cercanía con la comunidad y la construcción de vínculos solidarios. Persisten áreas de mejora en la dimensión estructural y sociocultural. Las tres escuelas muestran funcionamientos particulares, pero comparten un sentido de resistencia y de identidad comunitaria. El estudio concluye que la Telesecundaria debe revalorarse como espacio de transformación educativa y de desarrollo local, superando los estigmas históricos que la han acompañado hacia una narrativa de posibilidad y conciencia crítica.
Artificial Intelligence (AI) in education has evolved to integrating advanced models such as ChatGPT, and it’s therefore conceived as a complementary tool that promotes personalized learning and processes optimization, despite some ethical challenges related to access inequalities, algorithmic biases, dehumanization, and the fear of teacher replacement. This study explored the social representations of AI from basic education teachers in Aguascalientes, through a narrative analysis of short stories, identifying four thematic cores: technological conception of AI, educational uses, benefits, and critical considerations. Although the findings reveal an optimistic view, they are marked by contradictions. The study concludes by emphasizing the need for critical technological literacy that guides the ethical, contextualized, and equitable use of AI in Basic Education