Repositorio Institucional
Universidad Distrital - RIUD
El Repositorio Institucional de la Universidad Francisco José de Caldas RIUD es una herramienta donde se depositan los objetos digitales que corresponden a la producción intelectual de la Universidad para proteger, preservar, y difundir.
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Envíos recientes
OAI-SDR: Framework Inteligente de Búsqueda y Descubrimiento para Repositorios OAI-PMH mediante Aprendizaje Automático y Análisis Semántico
León Sandoval, Jhon Helmit
OAI-SDR is a clever hybrid search tool crafted for OAI-PMH repositories, blending the straightforward BM25 method—which quickly spots keywords—with smarter embedding techniques that really get the meaning behind what you’re looking for. It kicks off by gathering and tidying up metadata, then enriches the content and turns it into handy vector formats. From there, it mixes the results using something called Reciprocal Rank Fusion, and if you want, you can add a learning-to-rank twist to polish the top picks even more. To see how well it works, they checked it with measures like nDCG@10, MAP@10, Recall@10, how often users click (CTR), and how fast they find something useful.
Detección de ataques de denegación de servicio en redes definidas por software
(Universidad Distrital Francisco José de Caldas) Parra Fajardo, Jaime Andres; Ferro Escobar, Roberto
Software-Defined Networking (SDN) has emerged as an innovative alternative to traditional network architectures, offering flexibility, programmability, and a global view of topology through the separation of the control and data planes. However, this centralization also introduces new security challenges, as the controller becomes a critical point of vulnerability. Among the most significant threats are Denial-of-Service (DoS/DDoS) attacks, which can exhaust control-plane resources through malicious traffic flows and degrade overall network performance. This article presents a review of vulnerabilities in SDN environments, the main detection techniques proposed in literature and the key current challenges. Based on this analysis, a two-layer hybrid detection architecture is proposed, combining lightweight detection techniques for early anomaly identification with on-demand ML/DL based classifiers for suspicious traffic, highlighting the need for specialized mechanisms that preserve controller performance while optimizing computational cost.
Promoviendo el pensamiento computacional en estudiantes de educación media por medio de la realización de experimentos caseros
(Universidad Distrital Francisco José de Caldas) Guarnizo Hernández, Hector Javier; Salamanca Bernal, Julián Andrés; Salamanca Bernal, Julián Andrés [0000-0001-8378-4215]
Based on the premise that Computational Thinking (CT) should be integrated across all areas of knowledge, rather than being limited to technology and computer science as proposed by Jeannette Wing, this work proposes the design and implementation of activities grounded in Project-Based Learning to foster these skills among secondary education students at Colegio Miravalle I.E.D. in Bogotá. The research was conducted over nine physics class sessions, during which home-based experiments were implemented as a pedagogical strategy to integrate computational thinking with natural sciences. The main objective was to strengthen the participants' skills in abstraction, decomposition, pattern recognition, and algorithmic thinking. The study was framed within an interpretive paradigm with a descriptive approach, structured in five stages: inquiry, instrument design and validation, activity design, implementation, and finally, systematization and analysis of results. Data were processed using ATLAS.ti software, based on four categories derived from the literature review. The results demonstrate a progressive development of computational thinking skills, particularly in abstraction and pattern recognition, as well as a deeper understanding of the addressed scientific phenomena. It is concluded that conducting home-based experiments within a PBL framework constitutes an effective teaching strategy to integrate computational thinking into science education and promote meaningful learning in secondary education.
Hacia el fortalecimiento de la competencia informacional: secuencia didáctica con uso de ChatGPT para la validación de fuentes de información
Chacón Peña Yenny Paola, Yenny; Suárez Reina Adriana Yamile
The thesis entitled Toward the strengthening of information literacy as part of digital competence: a didactic sequence using ChatGPT for the validation of information sources aimed to determine the impact of a didactic sequence—grounded in active learning, the use of ChatGPT, and criteria for validating information sources—on the development of information literacy in sixth-grade students.
To achieve this purpose, the study began with a diagnostic phase, followed by the design of a didactic sequence based on an active learning approach. Data were then collected from the study population through a pre-test, the didactic sequence was implemented, a post-test was administered, and all the information gathered throughout the process was analyzed. The results obtained were contrasted with the theoretical frameworks of information literacy, active learning, didactic sequence, artificial intelligence, ChatGPT, and criteria for information source validation.
Apoyo a las actividades en el marco del proyecto de determinación de mercurio en tejido de pescado y en muestras ambientales, en la dirección de laboratorio e innovación ambiental - DLIA Corporación Autónoma Regional de Cundinamarca
MORALES ARENAS, JULIAN DAVID; RAMOS RINCÓN, JAIDITH MARISOL
The Regional Autonomous Corporation of Cundinamarca plays a fundamental role in the care, preservation, and monitoring of stakeholders involved in activities that interact with the environment. Through research and development projects, it has been possible to evaluate parameters that are not considered in conventional methods. The research project “Determination of Mercury in Fish from the Bogotá River and Magdalena River Basins” constitutes the foundation of this work.
The determination of mercury in fish is a key environmental indicator in the characterization of a region where industries of different types (mining, tanning, among others) are present. Given the bioaccumulation exhibited by this metal, it is possible to study its presence through various matrices such as sediments, water, and living organisms. Throughout this document, a contribution is presented to the development of an analytical methodology that enables rapid, reliable, and repeatable analysis of mercury in fish, in accordance with international regulations.
Through various methodological trials, including acid–alkaline digestions and direct readings, direct analysis of fish tissue without prior chemical treatment was selected, requiring only homogenization of the tissue by manual grinding. Based on this approach, a statistical treatment was performed to confirm the repeatability of the method and to initiate a process for formalizing the analytical methodology to be used, taking as its basis the direct reading of homogenized fish tissue.
In light of the studies, trials, and tests conducted, the use of the developed and validated analytical method is proposed for the continuation of the macroproject to which this work belongs, up to the date covered by this report.
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