In the last few years, the growing demand for electric vehicles (EVs) in the transportation sector has contributed to the increased use of electric rechargeable batteries. At present, lithium-ion (Li-ion) batteries are the most commonly used in electric vehicles. Although once their storage capacity has dropped to below 80–70% it is no longer possible to use these batteries in EVs, it is feasible to use them in second-life applications as stationary energy storage systems. The purpose of this study is to present an embedded system that allows a Nissan^® LEAF Li-ion battery to communicate with an Ingecon^® Sun Storage 1Play inverter, for control and monitoring purposes. The prototype was developed using an Arduino^® microcontroller and a graphical user interface (GUI) on LabVIEW^®. The experimental tests have allowed us to determine the feasibility of using Li-ion battery packs (BPs) coming from the automotive sector with an inverter with no need for a prior disassembly and rebuilding process. Furthermore, this research presents a programming and hardware methodology for the development of the embedded systems focused on second-life electric vehicle Li-ion batteries. One second-life battery pack coming from a Nissan^® Leaf and aged under real driving conditions was integrated into a residential microgrid serving as an energy storage system (ESS).

The present research exposes a novel methodology to manufacture fiber optic sensors following the etching process by Hydrofluoric Acid deposition through a real-time monitoring diameter measurement by computer vision. This is based on virtual instrumentation developed with the National Instruments^® technology and a conventional digital microscope. Here, the system has been tested proving its feasibility by the SMS structure diameter reduction from its original diameter of 125 $\mathsf{\mu }$ until approximately 42.5$\mathsf{\mu }\mathrm{m}$. The results obtained have allowed us to demonstrate a stable state behavior of the developed system during the etching process through diameter measurement at three different structure sections. Therefore, this proposal will contribute to the etched fiber optic sensor development that requires reaching an enhanced sensitivity. Finally, to demonstrate the previously mentioned SMS without chemical corrosion, and the etched manufactured SMS, both have been applied as glucose concentration sensors.

Optical fiber single mode – multimode – single mode (SMS) structures can be used as wavelength detection-based sensors. In this work, we focus on the performance at short wavelengths, where optical sources and detectors are less expensive. Here, a self-image band with a high transmission power is monitored in this short-wavelength range. In addition, the diameter and the length of the SMS structure have been optimized in order to improve the sensitivity of the device. In this sense, a maximum refractive index sensitivity of 305 nm/RIU was achieved by an etched SMS with a diameter of 34 μm. Furthermore, the obtained devices were used for testing the quality of automotive coolant and antifreeze liquid.

In the recent years the instrumentation has focused its development in devices fabricated in fiber optic applied as sensors; these devices are useful to monitorate physical, chemical and biological variables. By the previous, it is necessary its deposition of a thin- film sensible to temperature, humidity, pH, glucose, etc. There are two technics to deposit this into a fiber optic sensor: dip-coating and layer-by-layer. In both cases, is mandatory the application of a automated plataform to manipulate the fiber optic structure when it is immersed into the films to its depositon and the subsequent characterization in different liquid mediums; applying rutines stablished by times, positions and repetitions. The previous has been developed into a Robot X-Y, controlled by LabVIEW and its hardware MyRIO with an electronic arquitecture of low cost devices; also was applied the 3D impresion based on “open software” to design utensils to manipulate the devices and materials.

This paper presents a computer system capable of analyzing the databases of the results of the elections in Mexico, using genetic algorithms to achieve efficient analyses that will serve for the creation of reports with the information generated, in a shorter time than it can take to perform a manual analysis. The developed system implements the Windows Forms environment with the C# programming language and the SQL Server relational database system. In this research, the variables related to the execution time in the generation of reports will be measured, with respect to the traditional method, in addition to collecting relevant information that the system shows through experimentation.

This paper presents the initial development of a new docking analysis tool leveraging WebGL for real-time molecular visualization directly in the browser eliminating the installation burden and offering a fresh level of interactivity and modularity in docking result interpretation. The methodology consists of developing a web API in the Python programming language, implementing the interaction between the React Framework and the underlaying Python script to process data, cluster the docked conformation, calculate the secondary structure of the protein PDB file and retrieve the results to the React Framework to visual representation. The tool renders visual components of the 3D molecular structure viewer in react-three/fiber, react-three/drei, and WebGL, providing a user-friendly and modern interface; and leveraging the computational pipeline capabilities to reduce CPU load to the WebGL engine. Spanish-language metadata / Metadatos en español Título en español: Motor de visualización 3D interactivo para el acoplamiento molecular y el análisis de complejos estructuralesResumen: Este artículo presenta el desarrollo inicial de una nueva herramienta de análisis de acoplamiento que aprovecha WebGL para la visualización molecular en tiempo real directamente en el navegador, lo que elimina la necesidad de instalación y ofrece un nuevo nivel de interactividad y modularidad en la interpretación de los resultados del acoplamiento. La metodología consiste en desarrollar una API web en el lenguaje de programación Python, implementando la interacción entre el marco React y el script de Python subyacente para procesar datos, agrupar la conformación acoplada, calcular la estructura secundaria del archivo PDB de la proteína y enviar los resultados al marco React para su representación visual. La herramienta representa los componentes visuales del visor de estructuras moleculares en 3D en React-Three/Fiber, React-Three/Drei y WebGL, lo que ofrece una interfaz moderna y fácil de usar; además, aprovecha las capacidades del proceso computacional para reducir la carga de la CPU en el motor WebGL. Palabras Claves: Acoplamiento molecular, visualizadores moleculares en línea, visor de estructuras moleculares en 3D Smart citations: https://scite.ai/reports/10.61467/2007.1558.2026.v17i3.1274Dimensions.Open Alex.