Ambar: A Competence-Evaluating System for Preschool Children

This paper describes the development and implementation of AMBAR: an evaluation system whose objective is to measure children’s competence achievement during the early childhood better, and provide support material according to the child’s needs. Based on a predetermined scale, a level of achievement of each competency is assigned to the child, according to said level, the system will provide digital educational resources to the student, as to aid their development and reinforce previously acquired knowledge. After the child has completed their assigned activities, AMBAR will reevaluate their learning, assign them a new level of achievement, and provide new exercises. The system does also generate a results record for every student. The employed methodology was of a mixed nature; qualitative, because of the description of profiles associated to descriptively analyzed categories, and quantitative, given that statistic significant differences (p=0.5) were determined before and after the use of any resources for any of said categories

Systematic-interdisciplinary approach to eHealth equipment design

eHealth has improved the performance of multiple health systems worldwide by integrating Information and Communication Technologies (ICTs) into national (structured and coordinated) strategies in the health sector. However, once the foundation is laid for the development and implementation of eHealth solutions, researchers, engineers, doctors and other stakeholders have no single way to develop eHealth solutions. Therefore, a systematic interdisciplinary method is proposed to design electronic health equipment to meet the requirements and needs of all people involved in the use of the equipment, and comply with the laws and regulations of different countries.On the basis of systematic and interdisciplinary methods, a method is proposed, that is, the collaborative use of different systematic methods allows stakeholders to continue to cooperate and share the experience. Consequently, the method will allow the design of eHealth devices that, regardless of their use, meet the needs of the user, the requirements of the personnel who will use them, the standards and regulations of the country where they are developed, and provide total satisfaction with the device. Finally, the eHealth solution is designed through systematic thinking, through the analysis of needs and needs, and through exploring different perspectives, observation backgrounds, participant participation, discussion and stakeholder consistency, so as to provide a sustainable product that meets all participants

QoS Analysis for a Non-Preemptive Continuous Monitoring and Event Driven WSN Protocol in Mobile Environments

Evolution in wireless sensor networks (WSNs) has allowed the introduction of new applications with increased complexity regarding communication protocols, which have to ensure that certain QoS parameters are met. Specifically, mobile applications require the system to respond in a certain manner in order to adequately track the target object. Hybrid algorithms that perform Continuous Monitoring (CntM) and Event-Driven (ED) duties have proven their ability to enhance performance in different environments, where emergency alarms are required. In this paper, several types of environments are studied using mathematical models and simulations, for evaluating the performance of WALTER, a priority-based nonpreemptive hybrid WSN protocol that aims to reduce delay and packet loss probability in time-critical packets. First, randomly distributed events are considered. This environment can be used to model a wide variety of physical phenomena, for which report delay and energy consumption are analyzed by means of Markov models. Then, mobile-only environments are studied for object tracking purposes. Here, some of the parameters that determine the performance of the system are identified. Finally, an environment containing mobile objects and randomly distributed events is considered. It is shown that by assigning high priority to time-critical packets, report delay is reduced and network performance is enhanced.This work was partially supported by CONACyT under Project 183370. The research of Vicent Pla has been supported in part by the Ministry of Economy and Competitiveness of Spain under Grant TIN2013-47272-C2-1-R.Leyva Mayorga, I.; Rivero-Angeles, ME.; Carreto-Arellano, C.; Pla, V. (2015). QoS Analysis for a Non-Preemptive Continuous Monitoring and Event Driven WSN Protocol in Mobile Environments. International Journal of Distributed Sensor Networks. 2015:1-16. https://doi.org/10.1155/2015/471307S1162015Arampatzis, T., Lygeros, J., & Manesis, S. (s. f.). A Survey of Applications of Wireless Sensors and Wireless Sensor Networks. Proceedings of the 2005 IEEE International Symposium on, Mediterrean Conference on Control and Automation Intelligent Control, 2005. doi:10.1109/.2005.1467103Ramachandran, C., Misra, S., & Obaidat, M. S. (2008). A probabilistic zonal approach for swarm-inspired wildfire detection using sensor networks. International Journal of Communication Systems, 21(10), 1047-1073. doi:10.1002/dac.937Misra, S., Singh, S., Khatua, M., & Obaidat, M. S. (2013). Extracting mobility pattern from target trajectory in wireless sensor networks. International Journal of Communication Systems, 28(2), 213-230. doi:10.1002/dac.2649Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on Wireless Communications, 1(4), 660-670. doi:10.1109/twc.2002.804190Younis, O., & Fahmy, S. (s. f.). Distributed clustering in ad-hoc sensor networks: a hybrid, energy-efficient approach. IEEE INFOCOM 2004. doi:10.1109/infcom.2004.1354534Manjeshwar, A., & Agrawal, D. P. (s. f.). TEEN: a routing protocol for enhanced efficiency in wireless sensor networks. Proceedings 15th International Parallel and Distributed Processing Symposium. IPDPS 2001. doi:10.1109/ipdps.2001.925197Manjeshwar, A., & Agrawal, D. P. (2002). APTEEN: a hybrid protocol for efficient routing and comprehensive information retrieval in wireless. Proceedings 16th International Parallel and Distributed Processing Symposium. doi:10.1109/ipdps.2002.1016600Sharif, A., Potdar, V., & Rathnayaka, A. J. D. (2010). Prioritizing Information for Achieving QoS Control in WSN. 2010 24th IEEE International Conference on Advanced Information Networking and Applications. doi:10.1109/aina.2010.166Alappat, V. J., Khanna, N., & Krishna, A. K. (2011). Advanced Sensor MAC protocol to support applications having different priority levels in Wireless Sensor Networks. 2011 6th International ICST Conference on Communications and Networking in China (CHINACOM). doi:10.1109/chinacom.2011.6158175Alam, K. M., Kamruzzaman, J., Karmakar, G., & Murshed, M. (2012). Priority Sensitive Event Detection in Hybrid Wireless Sensor Networks. 2012 21st International Conference on Computer Communications and Networks (ICCCN). doi:10.1109/icccn.2012.6289220Raja, A., & Su, X. (2008). A Mobility Adaptive Hybrid Protocol for Wireless Sensor Networks. 2008 5th IEEE Consumer Communications and Networking Conference. doi:10.1109/ccnc08.2007.159Srikanth, B., Harish, M., & Bhattacharjee, R. (2011). An energy efficient hybrid MAC protocol for WSN containing mobile nodes. 2011 8th International Conference on Information, Communications & Signal Processing. doi:10.1109/icics.2011.6173629Lee, Y.-D., Jeong, D.-U., & Lee, H.-J. (2011). Empirical analysis of the reliability of low-rate wireless u-healthcare monitoring applications. International Journal of Communication Systems, 26(4), 505-514. doi:10.1002/dac.1360Deepak, K. S., & Babu, A. V. (2013). Improving energy efficiency of incremental relay based cooperative communications in wireless body area networks. International Journal of Communication Systems, 28(1), 91-111. doi:10.1002/dac.2641Yuan Li, Wei Ye, & Heidemann, J. (s. f.). Energy and latency control in low duty cycle MAC protocols. IEEE Wireless Communications and Networking Conference, 2005. doi:10.1109/wcnc.2005.1424589Bianchi, G. (2000). Performance analysis of the IEEE 802.11 distributed coordination function. IEEE Journal on Selected Areas in Communications, 18(3), 535-547. doi:10.1109/49.840210Wei Ye, Heidemann, J., & Estrin, D. (s. f.). An energy-efficient MAC protocol for wireless sensor networks. Proceedings.Twenty-First Annual Joint Conference of the IEEE Computer and Communications Societies. doi:10.1109/infcom.2002.101940

Las Redes Sociales una Herramienta de Apoyo a los Derechos Humanos.

Documento del Tercer Foro Internacional de Derechos Humanos y Tecnologías de la Información y la Comunicación en la Educación

Espacios de Aprendizaje Personales @- Universidad

Décimo Congreso Internaciona

Sistema de Agentes de Asistencia Aplicados al E-Learning

Documento del 3er. Foro de Investigación Educativ

Modelo de administración del conocimiento aplicado a enseñanza-aprendizaje por medio de dispositivos móviles

In this work we examine the development of a Knowledge Management Model (KMM) applied to the teaching process in mobile devices to facilitate the use and access of different types of users to relevant information anywhere and anytime. The KMM allows the management of knowledge in such a way that provides the process of collecting, sorting and searching for information according to a specific profile and needs as well as services associated with the transformation of data and information for the creation of knowledge. The KMM aims to provide users with tools for the development of skills in the teaching process through the use of limited capacity devices with internet connections.En el presente trabajo se muestra el desarrollo de un Modelo de Administración del Conocimiento (MAC) aplicado al proceso de enseñanza en dispositivos móviles para facilitar el uso y acceso de diferentes tipos de usuarios a información pertinente en cualquier lugar y en cualquier momento. El MAC permite administrar el conocimiento de tal forma que provea el proceso de recopilación, clasificación y búsqueda de información de acuerdo a un perfil y necesidades específicas, además de servicios asociados a la transformación de datos e información para la generación de conocimiento. De esta manera, se pone a disposición de los usuarios herramientas para el desarrollo de competencias en el proceso de enseñanza con el uso de dispositivos de capacidad limitada con conexión a Internet

Performance Analysis of a TDMA-based Wireless Sensor Networks Protocol with Cognitive Radio Capabilities

The main objective of Cognitive Radio (CR) is optimizing spectrum utilization in multi-carrier systems and has been studied to increase performance in wireless sensor networks (WSN). Special attention has been given to quality of service (QoS) parameters such as energy consumption, average report delay and collision probability. However, some issues have not received enough attention due to the fact that nodes tend to be lowerend devices with limited capabilities, therefore, traditional CR techniques may not be implemented efficiently. CR allows secondary users (SUs, nodes that have no license over the operation band) to use the channel in an opportunistic manner as long as they do not cause significant interference on the primary users (PUs, nodes with a specific license over the allocated band). This is achieved by sensing the channel and identifying vacant bands to make use of them dynamically. In this paper, the WISPER protocol is studied, which is a WSN protocol capable of performing both, continuous monitoring (CntM) and event driven detection (EDD) duties by implementing a singleband CR scheme in order to identify the operational parameters that enhance both, energy consumption and data transmission in highly saturated environments. Results show that, by carefully selecting frame length and state-switching rates, average discarded packets and power consumption are optimized

Teoría de la educación : educación y cultura en la sociedad de la información

Resumen basado en el de la publicaciónSe muestra el desarrollo de un Modelo de Administración del Conocimiento (MAC) aplicado al proceso de Capacitación para personal en dispositivos móviles para facilitar el uso y acceso de diferentes tipos de usuarios a información pertinente en cualquier lugar y a cualquier hora. El MAC permite administrar el conocimiento, de tal forma que ayude en el proceso de recopilación, clasificación y búsqueda de información de acuerdo a un perfil y necesidades específicas de capacitación, además de servicios asociados a la transformación de datos e información para la generación de conocimiento.ES