This study proposes a fuzzy control strategy embedded in a Siemens IoT2040 gateway developed for removing inorganic arsenic from synthetic underground water in a treatment plant prototype. The prototype is used to dose a constant flow of Fe(VI) to maintain an oxide-reduction potential to guarantee the oxidation of arsenite into arsenate, while the fuzzy logic embedded in the IoT control manages the addition of Fe(III) to achieve a proper pH adjustment and efficient arsenate removal. The tests used synthetic Bangladesh groundwater enriched with 200 µg/L of arsenite and 200 µg/L of arsenate. The results revealed that the plant prototype yielded an effective treatment of the water. Arsenate was decreased to an average value of 6.66 µg/L and, the arsenite concentration decreased to 1.01 µg/L or less. These values were lower than the limit of 10 µg/L deemed by the World Health Organization as safe for human consumption.
At least 15% of the population in the world has some type of disability. Unfortunately, this population has the problem of facing various accessibility barriers, to which technological barriers are also added. One of the most relevant obstacles is the one that arises as a result of the development of the technology itself when using the Information and Communication Technologies (ICT). Therefore, the objective of this article is to review the main uses of the Semantic Web tools and to group them together in order to be able to propose the design and construction of more personalized and flexible systems, which allows to help people with disabilities to perform some type of activity using ICT, in this way, knowledge can be modeled in different domains related to people who have some type of disability, using ontologies, and some ontological models can be reused for various types of disability depending on the case study. The usefulness of this study is to reveal that with the models presented, it is possible to construct a Meta ontology that includes some or all areas of disability.
The aim of this study is to evaluate the effects of ferrate (VI)-based treatment on surface water collected from the Rímac River as an irrigation water treatment model for bean (Phaseolus vulgaris), lettuce (Lactuca sativa), and radish (Raphanus sativus) plant species irrigated with treated water in the experimental field. The experimental field was divided into eight 625 m2 plots (50 m × 12.5 m) with sandy loam soil (sand 51%, silt 30%, clay 19%). The treatment system operated uninterrupted for three and a half months without deterioration in production, demonstrating that it can function continuously to improve water quality even when the effects on the parameters evaluated here did not reveal significant differences, presumably due to the prevailing effect from metal concentrations already found in the soil. This study also seeks to validate the effect of treatment on the concentration of plant tissue bacteria.
This paper deals with the development of a technology for a wind driven induction generator system. Its goal is the modeling, design and analysis of an electronic controller using a multi-rate sampling adaptive algorithm, with a structure made of several control strategies, each one with different sample times and having a different weight or influence in the final solution in the control problem. In low power wind turbines, the best power conditions for harvesting the energy is to search for an optimal rate of the tip blade speed and the wind speed called lamda λ, giving an optimal torque as a set point. The adaptability comes from the weights that are giving importance or higher priority to the control strategy transfer function. In the presence of sudden changes and winds changing rapidly, high frequency strategies take more importance and greater values, with calm winds the low frequencies take command with greater weights. The frequencies can bet set to avoid damage to the mechanical systems as the turbine blades. A field-oriented torque controller in cascade is used, regulating the magnetic field and the torque.
La investigación aplicada estudia la posibilidad de desarrollar un sistema de locomoción automatizado para personas con discapacidad. Este sistema permitirá autonomía de desplazamiento a la persona con discapacidad, lo cual mejorará su calidad de vida y le permitirá incluirse con mayor facilidad en la sociedad.
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