Conference Agenda

This project presents the development of a portable system designed to analyze gait patterns in healthy individuals, simulating alterations characteristic of knee osteoarthritis through controlled movements. The project responds to the need for accessible tools for biomechanical analysis in non-clinical settings, overcoming the mobility and cost limitations associated with conventional technologies. Real-time data are collected and processed using motion sensors and an integrated system to identify biomechanical differences between standardized gait patterns and pain simulations. The methodology was based on VDI 2206, following a spiral design approach to wearable device development. Progressive iterations were implemented with validations in controlled and standardized environments, allowing comparative evaluation of human gait using integrated sensors and biomechanical data processing techniques. The results highlight the system's effectiveness in capturing variations in tilt angles and validating altered gait patterns, with potential applications in rehabilitation and early diagnosis. This system represents an innovative, practical, and cost-effective solution to study human gait and improve the quality of life of people affected by biomechanical disorders.

The following investigation was aimed at studying the potential use of fruit extracts, with predominant components of anthocyanins (coffee, pomegranate and strawberry), as pigments in pigment-sensitized solar cells (DSSC). The cells were built using ITO conductive glasses coated with a TiO₂ layer integrated with the extracted pigments as photoanode and carbon particles as counter electrode. The performance of the DSSCs was studied by irradiating the cells with white LED light with a maximum intensity of 33 mW/cm². The pigments were characterized by FTIR and UV-Vis spectrophotometry techniques, obtaining characteristic spectra of its active components. The current, voltage and power density graphs allowed to evaluate the performance of the DSSCs, a filling factor (FF) of 44.6% was found for the cells sensitized with strawberry extract and an efficiency of 0.21% for those sensitized with coffee. EIS results confirm the FF value obtained from strawberry extract-sensitized cells caused by a low charge recombination rate. This work attempts to contribute to the use of natural pigments in the operation of DSSCs as a more ecological and economical alternative

The three-phase single squirrel cage induction motor has many applications in their industrial development, and their design, has been based in test and error. Today, we have other methods, as geometric interpretation, what allows using many restrains, which make the motor with the advantages to satisfy all the restrains imposed.

The restrains used in the present work are starting current, starting torque, maximum torque, and maximum power or overload capacity, nominal power to nominal slip, maximum efficiency and power factor and minimum current density in the rotor bars.

The developed method provided technical benefits such as optimizing the starting current and torque, achieving a high maximum torque, and ensuring adequate slip according to the rated power. Additionally, it enhances the motor's overload capacity, ensuring better operational performance. From an economic perspective, efficiency is improved, optimizing energy consumption, and by enhancing the power factor, penalty charges can be avoided.

The design and use of an electric field application cell for phase separation of the W/O emulsion in the Acema-100 production pit is the interest of this research. To do this, the Acema-100 pit is characterized physicochemically (apparent density, apparent viscosity, water content, cumulative droplet distribution, conductivity of the aqueous phase), the effect on emulsion destabilization is evaluated, considering as variables of the electrostatic system: the type of current, the cell geometry, the residence time, the applied voltage, using the 2n experimental design, with the destabilization factor (FD) being the response variable. Likewise, a coalescing material is combined with the electric field, in order to evaluate the type of medium that favors the destabilization and coalescence process of the drops. The application of the 2n factorial experimental design identified the cell type as the most significant variable. In the study of the effect of the coalescing medium, the highest coalescence rates are obtained with a hydrophilic coalescing material. The study is aligned with SDG No. 9.

This paper reports the performance of a single-channel active noise compressor cancellation system. The active noise canceller (ANC) was developed based on a PC-hosted Analog Devices Inc., a low-cost 16-bit fixed-point Digital Signal Processor (DSP), mounted in a two-channel analog I/O board connected to the real world via standard consumer audio components. The algorithm implemented here was the single-channel filtered-X LMS. In the first part of this paper, the noise generated by the compressor will be characterized, followed by the selection of a coherent reference sensor for the ANC implementation. Finally, the noise attenuation achieved with the application of the ANC is presented.

Brushless DC (BLDC) motors have become essential in industries like automotive, robotics, and consumer electronics due to their efficiency and reliability. However, controlling key parameters such as angular velocity and torque remains a significant challenge, particularly in high-precision applications.

This study proposes optimizing PID controller parameters using genetic algorithms to enhance the angular velocity control of BLDC motors. Following the VDI 2206 methodology, the development process was divided into five stages: data collection, controller design, algorithm implementation, system integration, and validation. Experimental results demonstrate a 56.25% reduction in steady-state error and improved dynamic response compared to the Ziegler-Nichols method.

These findings highlight the potential of combining genetic algorithms with control systems to improve motor performance in real-world scenarios, laying the groundwork for future advancements in industrial motor control.

This paper proposes a methodology to calibrate an
RGBC sensor to measure the dominant
wavelength of visible light sources. For this, it is proposed
to use the TCS34725 sensor capable of blocking the infrared
components and providing an intensity signal, to obtain
an invariant measurement of ambient radiation and the intensity
of the source. The method consists of: (i) normalization of the
Red (R), Green (G), and Blue (B) components between 0 and 255,
using the Clear Light (C) signal; (ii) representation in the CIE
1931 color model; (iii) transformation to CIE values xyY and
(iv) estimation of the dominant wavelength with the use of the
chromatic diagram. The experiment was carried out using data
acquisition system based on an atmega328p-pu microcontroller
which communicates by the I2C protocol with the RGBC sensor
equipped with its analog-digital converter. To reduce errors,
the system was calibrated using a white light source and three
optical filters (578nm, 546nm, and 405nm) to obtain
three quasi-monochromatic sources and obtain the white point of
the sensor. With this methodology, measurements located within
the bandwidth of the source and with errors of the dominant
wavelength between 0.01 % and 6.6 % were achieved.