Now showing items 1-20 of 42

    • A learners experience with the games education in software engineering 

      Tariq, Muhammad Imran; Diaz-Martinez, Jorge; aziz, shariq; Javaid, Adeel; De-La-Hoz-Franco, Emiro; Mihaela Dicu, Anca (Corporación Universidad de la Costa, 2020)
      The utilization of games and its components in software building training isn’t new. In reality, their usage in Software development training is found to look into papers for numerous decades. Be that as it may, there is ...
    • Alineación de Cobit 5 Y Coso IC-IF para definición de controles basados en Buenas Practicas TI en cumplimiento de la Ley Sarbanes-Oxley 

      Montaño Ardila, Victor Manuel; Combita Niño, Harold Arturo; De-La-Hoz-Franco, Emiro (Espacios, 2017)
      La Ley Sarbanes-Oxley permite garantizar la integridad de la información financiera de las empresas que cotizan en bolsa, y su principal objetivo es proteger al inversionista. Actualmente y con la intensión de proteger ...
    • An integrated approach of multiple correspondences analysis (MCA) and fuzzy AHP method for occupational health and safety performance evaluation in the land cargo transportation 

      Jimenez Delgado, Genett Isabel; Balmaceda-Castro, Nidia; Hernández-Palma, Hugo; De-La-Hoz-Franco, Emiro; García Guiliany, Jesús Enrique; Martínez Ventura, Jairo Luis (Universidad de la Costa, 2019-06-19)
      Land cargo transportation is one of the components of the logistics chain with high impact on economic and social development worldwide. However, problems such as top logistics costs, deficiencies in transportation ...
    • Artificial intelligence-based Kubernetes container for scheduling nodes of energy composition 

      Diaz Martinez, Jorge Luis; Aziz Butt, Shariq; Michael Onyema, Edeh; Chakraborty, Dr. Chinmay; Shaheen, Qaisar; De-La-Hoz-Franco, Emiro; Ariza Colpas, Paola Patricia (International Journal of Systems Assurance Engineering and Management, 2021-07-17)
      Kubernetes is a portable, extensible, open-source platform for managing containerized workloads and services that facilitates both declarative configuration and automation. This study presents Kubernetes Container Scheduling ...
    • Bayesian Classifiers in Intrusion Detection Systems 

      Mardini-Bovea, Johan; De-La-Hoz-Franco, Emiro; Molina Estren, Diego; Ariza Colpas, Paola Patricia; Ortíz, Andrés; Ortega, Julio; R. Cárdenas, César A.; COLLAZOS MORALES, CARLOS ANDRES (Universidad de la Costa, 2020)
      To be able to identify computer attacks, detection systems that are based on faults are not dependent on data base upgrades unlike the ones based on misuse. The first type of systems mentioned generate a knowledge pattern ...
    • Discovering similarities in Landsat satellite images using the Kmeans method 

      Ariza Colpas, Paola Patricia; Oviedo Carrascal, Ana Isabel; De-La-Hoz-Franco, Emiro (Procedia Computer Science, 2020)
      This article different ways for the treatment and identification of similarities in satellite images. By means of the systematic review of the literature it is possible to know the different existing forms for the treatment ...
    • Enkephalon - technological platform to support the diagnosis of alzheimer’s disease through the analysis of resonance images using data mining techniques 

      Ariza Colpas, Paola Patricia; Piñeres Melo, Marlon Alberto; Barceló Martínez, Ernesto; De-La-Hoz-Franco, Emiro; Benitez Agudelo, Juan Camilo; Gelves Ospina, Melissa; Echeverri Ocampo, Isabel Cristina; combita, harold; Leon Jacobus, Alexandra (Universidad de la Costa, 2019-07-19)
      Dementia can be considered as a decrease in the cognitive function of the person. The main diseases that appear are Alzheimer and vascular dementia. Today, 47 million people live with dementia around the world. The estimated ...
    • Feature selection by multi-objective optimisation: application to network anomaly detection by hierarchical self-organising maps 

      De-La-Hoz-Franco, Emiro; De la Hoz Correa, Eduardo Miguel; Ortiz, Andrés; Ortega, Julio; Martínez Álvarez, Antonio (Universidad de la Costa, 2014-08-11)
      Feature selection is an important and active issue in clustering and classification problems. By choosing an adequate feature subset, a dataset dimensionality reduction is allowed, thus contributing to decreasing the ...
    • Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems 

      Mendoza Palechor, Fabio; De la Hoz Manotas, Alexis Kevin; De-La-Hoz-Franco, Emiro; Ariza Colpas, Paola Patricia (Journal of Theoretical and Applied Information Technology, 2015-12-20)
      This research presents an IDS prototype in Matlab that assess network traffic connections contained in the NSL-KDD dataset, comparing feature selection techniques available in FEAST toolbox, refining prior results applying ...
    • Implementation of a wireless system architecture of conductivity temperature and pressure sensors for support the identification of the salt wedge and its impact on safety Maritime in estuary of the Magdalena River - A case study 

      Ariza Colpas, Paola Patricia; Sanchez Moreno, Hernando; Pineres-Melo, Marlon; Morales Ortega, Roberto; Ayala-Mantilla, Cristian; Villate-Daza, Diego; De-La-Hoz-Franco, Emiro; COLLAZOS MORALES, CARLOS ANDRES (Procedia Computer Science, 2020)
      This article aims to show the components of a wireless sensor system to measure temperature, conductivity and pressure at the mouth of the Magdalena River - Colombia. This analysis was carried out jointly with the General ...
    • Implementation of an intrusion detection system based on self organizing map 

      De-La-Hoz-Franco, Emiro; Ortiz García, Andrés; Ortega Lopera, Julio; De La Hoz Correa, Eduardo Miguel; Mendoza Palechor, Fabio Enrique (Journal of theoretical and applied information technology, 2015-01-31)
      The main purpose of this study is to identify a methodology to validate the effectiveness of an Intrusion Detection Systems proposed in three phases (selection, training and classification) using FDR to feature selection ...
    • Information and communication technologies and their influence on the transformation of higher education in Colombia to boost the global economy 

      De-La-Hoz-Franco, Emiro; Martínez-Palmera, Olga; Combita-Niño, Harold Arturo; Hernández-Palma, Hugo Gaspar (Centro de Informacion Tecnologica, 2018-07-14)
      En este artículo se reflexiona desde el punto de vista conceptual, sobre la influencia que las Tecnologías de la Información y la Comunicación (TIC) y el impacto que éstas han generado en los procesos de enseñanza/aprendizaje. ...
    • Internet of things applied to aquifer monitoring systems: a survey 

      Ariza Colpas, Paola Patricia; Sanchez Moreno, Hernando; Pineres-Melo, Marlon Alberto; Morales Ortega, Roberto; Ayala-Mantilla, Cristian Eduardo; Villate-Daza, Diego Andrés; De-La-Hoz-Franco, Emiro; COLLAZOS MORALES, CARLOS ANDRES (Procedia Computer Science, 2020)
      The interaction between the oceanic and continental basins has been of general interest among the scientific community of multiple disciplines, from the physical perspective of how the interaction of fresh and salt waters ...
    • IoT smart health security threats 

      aziz, shariq; Díaz-Martínez, Jorge L; Jamal, Tauseef; Ali, Arshad; De-La-Hoz-Franco, Emiro; Shoaib Saleem, Muhammad (Universidad de la Costa, 2019)
      The Internet of things (IoT) is an active area in the current research community due to the improvement in mobile computing and wireless networks. Currently, the IoT is involved in many fields like smart cities, smart ...
    • Las redes de sensores inalámbricos y el Internet de las cosas 

      Cama-Pinto, Alejandro; De-La-Hoz-Franco, Emiro; Cama-Pinto, Dora (Corporación Universidad de la Costa, 2012-10-31)
      El Internet de las cosas (IoT) percibe un mundo donde los dispositivos que lo conforman pueden ser identificados en el Internet y está creciendo a un ritmo acelerado con nuevos dispositivos que se van conectando. En este ...
    • Linux ubuntu server 

      De la Hoz Correa, Eduardo Miguel; De-La-Hoz-Franco, Emiro (Corporación Universidad de la Costa, 2009)
      Existen en la actualidad gran variedad de distribuciones libres del Sistema Operativo Linux, el cual ha ganado un espacio preponderante por sus características de multiusuario, multitarea, estabilidad, seguridad, conectividad, ...
    • Mathematical Modelling and Identification of a Quadrotor 

      Cárdenas R., César A.; COLLAZOS MORALES, CARLOS ANDRES; P. Ospina, Juan; Sánchez, Joaquín F.; Caro-Ruiz, Claudia; Hugo Grisales, Victor; Ariza Colpas, Paola Patricia; De-La-Hoz-Franco, Emiro; R. González, Ramón E. (Corporación Universidad de la Costa, 2020)
      Motivated by the important growth of VTOL vehicles research such as quadrotors and to a small extent autonomous flight, a quadrotor dynamical model is presented in this work. The purpose of this study is to get a better ...
    • Mathematical ontological browser - NOMAT 

      Varela Arregoces, Ernesto Eduardo; De-La-Hoz-Franco, Emiro; De la Hoz Correa, Eduardo Miguel; FAJARDO TORO, CARLOS HERNAN (Revista Espacios, 2017-07-22)
      The query algorithms in search engines use indexing, contextual analysis and ontologies, among other techniques, for text search. However, they do not use equations due to their writing complexity. NOMAT is a prototype ...
    • Mediación de los objetos virtuales de aprendizaje en el desarrollo de competencias matemáticas en estudiantes de ingeniería 

      MARTÍNEZ PALMERA, OLGA; De-La-Hoz-Franco, Emiro; combita, harold (Formación Universitaria, 2018)
      El presente artículo analiza la contribución de los Objetos Virtuales de Aprendizaje (OVA) al desarrollo de competencias matemáticas en estudiantes de ingeniería de dos universidades de Barranquilla-Colombia. Se aplicó una ...
    • Modelo de detección de intrusiones en sistemas de red, realizando selección de características con FDR y entrenamiento y clasificación con SOM 

      De-La-Hoz-Franco, Emiro; De la Hoz Correa, Eduardo Miguel; Ortiz, Andrés; Ortega, Julio (Corporación Universidad de la Costa, 2012-10-31)
      Los Sistemas de Detección de Intrusos (IDS, por sus siglas en inglés) comerciales actuales clasifican el tráfico de red, detectando conexiones normales e intrusiones, mediante la aplicación de métodos basados en firmas; ...