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    Item type:Publication,
    Modular IoT-based Automated Hydroponic System
    (IEEE, 2021)
    Aranda, Manlio
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    Savage, Alejandra
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    San Roman, José Luis
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    Noguera, Luis
    ;
    Ponce, Hiram  
    The growth of population and the rapid urbanization have demanded overproduction of food while reducing the water supply, increasing energy consumption, limiting the land, and augmenting the cost of food transportation. Moreover, overproduction comes with food waste and a negative impact on the ecosystem. As an alternative, urban farming has been proposed to mitigate this problem. It includes cultivating in rooftops and residential indoors. In this regard, this work proposes the development of an automatic modular and vertical hydroponic system capable to regulate the water flow, the artificial lights, and the pH of the water. The hydroponic system is made of modules which means the user can upgrade the system depending on the needs like higher production or space reconfiguration. Also, the hydroponic system implements Internet-of-Things to monitor and operate it remotely. A first prototype is presented, and the experimental results validate its potential applicability. ©The authors © 2021 IEEE.
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    An Implementation of a Monocular 360-Degree Vision System for Mobile Robot Navigation
    (2018)
    Acevedo Medina, Eduardo
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    Beltrán, Arturo
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    Castellanos Canales, Mauricio
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    Chaverra, Luis
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    González Mora, José Guillermo
    One of the problems facing autonomous navigation is obstacle sensing and dynamic surroundings. Multi-sensor systems and omni directional vision systems have been implemented to increase the observability of robots. However, these approaches consider several drawbacks: the cost of processing multiple signals, synchronization of data collection, cost of materials and energy consumption, among others. Thus in this paper, we propose a new 360-degree vision system for mobile robot navigation using a static monocular camera. We demonstrate that using our system, it is possible to monitor the complete surroundings of the robot with a single sensor, i.e. the camera. Moreover, it can detect the position and orientation of an object from an egocentric point of view. We also present a low cost prototype of our proposal to validate it. © 2018 IEEE.
    Scopus© Citations 3  25  1
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    A new algorithm for optimization of quality of service in peer to peer wireless mesh networks
    (2019)
    Gheisari, Mehdi
    ;
    Alzubi, Jafar
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    Xiaobo, Zhang
    ;
    Kose, Utku
    ;
    Marmolejo Saucedo, José Antonio
    Nowadays, wireless mesh networks are known as important parts of different commercial, scientific, and industrial processes. Their prevalence increases day-by-day and the future of the world is associated with such technologies for better communication. However, the issue of improving quality of service for dealing with more complex and intense flow of data has been always a remarkable research problem, as a result of improved wireless communication systems. In this sense, objective of this study is to provide a new algorithm for contributing to the associated literature. In the study, peer to peer wireless mesh networks and the concept of service quality were examined first and then an approach for improving service quality in such networks has been proposed accordingly. In detail, the proposed an approach allows profiting data transfer capability by data packet and using this information for routing and preventing overcrowd in network nodes and finally, distributing the load over it. When middle nodes overcrowd, they withhold to send control messages of route creating or do that by delay. The proposed approach has been evaluated and the findings revealed that at least 10% of undue delays through network can be prevented while permittivity does not reduce, thanks to the approach. Also energy consumption within network nodes partially increases due to adding table and the search which can be overlooked. © 2019, Springer Science+Business Media, LLC, part of Springer Nature.
    Scopus© Citations 38  32  1