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The waste and trash removal management are the major challenges for cities and to perform in an optimal and efficient way is one of the field of study within Smart City. There are great challenges to overcome when the theme is waste collection. One of them is to define efficient routes in order to reduce the fuel consumption of garbage-trucks, that is the main challenge addressed in this work. The...
Nowadays, with the advancement of technologies involving IoT (Internet of Things), the industry has demonstrated interest in adapting to such a scenario. The industry 4.0 is a good example of this IoT trend is inserting in industrial environments. This article presents a new proposal for IoT architecture with possible industrial applications based on architectures with recognized and consolidated...
This paper presents the temperature model identification of a fuel cell using a polynomial NARMAX model. The NARMAX model identification using orthogonal least means square is affected by the input and output signal sample rate, since the regressors matrix can become ill conditioned. As a new approach, an evolutionary algorithm is proposed to determine the input and output signal sample rate, as to...
The growing demand for higher productivity in the sugar-alcohol sector has required higher levels of automation in new and existing production plants. However, with increasing the number of sensors and equipment emerges a correspondent growth in the amount of data generated. Although the industry stores most of these data in dedicated data warehouse they are rarely used in future analysis due to the...
Nowadays, with the increasing technological computational advances in industrial environments, the amount of data monitored and stored in the industry is considered extensive and continuous. However, not all of the stored variables are analyzed, considering that there is a great difficulty in knowing which variables are useful and which variables should be analyzed. This paper proposes the use of...
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