Creación e implementación de talleres escolares de iniciación a la electrónica, programas en sistemas y microcontroladores con Arduino

Hoy por hoy, la articulación con la educación media es uno de los aspectos más importantes para diferentes instituciones de educación superior, sobre todo para captar el interés de los potenciales estudiantes a la vinculación de carreras profesionales de su afinidad. Por esta razón, es meritorio que los estudiantes de los colegios distritales puedan tener contacto con la electrónica y los lenguajes de programación como ejes temáticos de vanguardia ocupacional. Este proyecto, por lo tanto, se encuentra enfocado en brindar la orientación necesaria a estos potenciales estudiantes para el proceso de elección de estos temas afines. Se ha identificado la placa Arduino como base fundamental para la enseñanza de la electrónica y los lenguajes de programación a los estudiantes de la media vocacional. Es, por eso, la principal finalidad de este proyecto de investigación la consecución de talleres escolares de iniciación a la electrónica, programación en sistemas y microcontroladores con Arduino en los colegios Distritales del centro histórico de Barranquilla como apoyo a la adquisición de estos conocimientos por parte de los estudiantes y su acercamiento al proceso de elección de una carrera profesional a cursar

Sensor-based datasets for human activity recognition - a systematic review of literature

The research area of ambient assisted living has led to the development of activity recognition systems (ARS) based on human activity recognition (HAR). These systems improve the quality of life and the health care of the elderly and dependent people. However, before making them available to end users, it is necessary to evaluate their performance in recognizing activities of daily living, using data set benchmarks in experimental scenarios. For that reason, the scientific community has developed and provided a huge amount of data sets for HAR. Therefore, identifying which ones to use in the evaluation process and which techniques are the most appropriate for prediction of HAR in a specific context is not a trivial task and is key to further progress in this area of research. This work presents a systematic review of the literature of the sensor-based data sets used to evaluate ARS. On the one hand, an analysis of different variables taken from indexed publications related to this field was performed. The sources of information are journals, proceedings, and books located in specialized databases. The analyzed variables characterize publications by year, database, type, quartile, country of origin, and destination, using scientometrics, which allowed identification of the data set most used by researchers. On the other hand, the descriptive and functional variables were analyzed for each of the identified data sets: occupation, annotation, approach, segmentation, representation, feature selection, balancing and addition of instances, and classifier used for recognition. This paper provides an analysis of the sensor-based data sets used in HAR to date, identifying the most appropriate dataset to evaluate ARS and the classification techniques that generate better results

Sensor-based datasets for human activity recognition - a systematic review of literature

The research area of ambient assisted living has led to the development of activity recognition systems (ARS) based on human activity recognition (HAR). These systems improve the quality of life and the health care of the elderly and dependent people. However, before making them available to end users, it is necessary to evaluate their performance in recognizing activities of daily living, using data set benchmarks in experimental scenarios. For that reason, the scientific community has developed and provided a huge amount of data sets for HAR. Therefore, identifying which ones to use in the evaluation process and which techniques are the most appropriate for prediction of HAR in a specific context is not a trivial task and is key to further progress in this area of research. This work presents a systematic review of the literature of the sensor-based data sets used to evaluate ARS. On the one hand, an analysis of different variables taken from indexed publications related to this field was performed. The sources of information are journals, proceedings, and books located in specialized databases. The analyzed variables characterize publications by year, database, type, quartile, country of origin, and destination, using scientometrics, which allowed identification of the data set most used by researchers. On the other hand, the descriptive and functional variables were analyzed for each of the identified data sets: occupation, annotation, approach, segmentation, representation, feature selection, balancing and addition of instances, and classifier used for recognition. This paper provides an analysis of the sensor-based data sets used in HAR to date, identifying the most appropriate dataset to evaluate ARS and the classification techniques that generate better results

Discovering similarities in Landsat satellite images using the Kmeans method

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 of this type of objects and by means of the implementation that is described, the operation of the K-means algorithm is shown to help the segmentation and analysis of characteristics associated to the color. In this type of objects, a descriptive analysis of the results thrown by the method is finally carried out

WSIA: web ontological search engine based on smart agents applied to scientific articles

The Semantic Web proposed by the W3C (Word Wide Web Consortium), aims to make the automation of the information contained in the current web through semantic processing based on ontologies that define what must be the rules used for the representation knowledge. This article resulting from the research project “Model for the representation of knowledge based on Web ontologies and intelligent search agents, if required: Scientific articles WSIA” proposes an architecture for finding information through intelligent agents and ontologies Web of scientific articles. This paper shows the architecture, implementation and comparing these with traditional applications

A Cost Estimating Method for Agile Software Development

In every software development project, the software effort estimating procedure is an important process in software engineering and always critical. The consistency of effort and timeline estimation, along with several factors, determines whether a project succeeds or fails. Both academics and professionals worked on the estimation approaches in software engineering. But, all these approaches have many problems that need to be addressed. One of the most difficult aspects of software engineering is estimating effort in agile development. This study aims to provide an effort estimation method for agile software development projects. Because in software engineering, the agile method is widely used for the development of software applications. The development and usage of the agile method are described in depth in this study. The framework is configured with empirical data gathered by projects from the software industry. The test findings reveal that the estimation method has great estimation accuracy in respect of mean magnitude of relative error (MMRE) and Prediction of Error PRED (n). The suggested approach achieves more accuracy for effort estimation as compare to others

Reasonable Non-conventional Generator of Random Linear Chains Based on a Simple Self-avoiding Walking Process: A Statistical and Fractal Analysis

Models based on self-excluded walks have been widely used to generate random linear chains. In this work, we present an algorithm capable of generating linear strings in two and three dimensions, in a simple and efficient way. The discrete growth process of the chains takes place in a finite time, in a network without pre-established boundary conditions and without the need to explore the entire configurational space. The computational processing time and the length of the strings depending on the number of trials N′ . This number is always less than the real number of steps in the chain, N. From the statistical analysis of the characteristic distances, the radius of gyration ( Rg ), and the end-to-end distance ( Ree ), we make a morphological description of the chains and we study the dependence of this quantities on the number of steps, N. The universal critical exponent obtained are in very good agreement with previous values reported in literature. We also study fractal characteristics of the chains using two different methods, Box-Counting Dimension or Capacity Dimension and Correlation Dimension. The studies revealed essential differences between chains of different dimensions, for the two methods used, showing that three-dimensional chains are more correlated than two-dimensional chains

IT government in colombians SMEs. myth or reality?

El presente artículo se enmarca en el desarrollo del proyecto MODELO INTEGRADO PARA LA ADOPCIÓN DE POLÍTICAS DE GOBIERNO DE TECNOLOGÍAS DE LA INFORMACIÓN EN PYMES. Hace una revisión sistemática de la literatura en cuanto a conceptos, marcos de referencia y normativa que contribuyen en el alineamiento de las TI y el gobierno corporativo de las empresas. Analiza el estado actual de las PyMES en Colombia, y como aporta el GOBIT en el desarrollo de las PyMES en el país. Posterior a la revisión de la literatura se llega a la conclusión que para alcanzar los objetivos trazados por parte de las organizaciones, es necesario que las empresas establezcan acciones encaminadas a la eficaz gestión de los recursos de TI, la implementación de las acciones planteadas, un posterior seguimiento a esas acciones, y finalmente trabajar en conjunto por la mejora continua de los procesos.This article is part of the development of the project INTEGRATED MODEL FOR THE ADOPTION OF GOVERNMENT POLICIES OF INFORMATION TECHNOLOGIES IN SMES. It makes a systematic review of the literature regarding concepts, frameworks and regulations that contribute to the alignment of IT and corporate governance of companies. It analyzes the current state of SMEs in Colombia, and how GOBIT contributes to the development of SMEs in the country. Following the literature review, it is concluded that in order to achieve the goals set by the organizations, it is necessary for companies to establish actions aimed at the efficient management of IT resources, implementation of the actions proposed, Follow up on these actions, and finally work together for the continuous improvement of processes

Feature selection, learning metrics and dimension reduction in training and classification processes in intrusion detection systems

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 dimension reduction technique ISOMAP. The classification process used a supervised learning technique called Support Vector Machines (SVM). The comparative analysis related to detection rates by attack category are conclusive that MRMR+PCA+SVM (selection, reduction and classification techniques) combined obtained more promising results, just using 5 of 41 available features in the dataset. The results obtained were: 85.42% normal traffic, 80.77% DoS, 90.41% Probe, 91.78% U2R and 83.25% R2L

Geographic information systems - GIS, a view from the water resource

This research paper presents an overview of the state of the art Geographic Information Systems - GIS, which has been defined and characterized important aspects about these systems and their contribution to the analysis of water bodies from various use and development, which allows the achievement of the Platform for water Resources Network of the Colombian Caribbea