Conference Agenda

The artificial vision is used in multiple fields so it has a flexible capacity in the applications that it can provide, such as the recognition of figures, colors, etc. It is used to create different tasks according to the proper and modified programming, although, it can have a slower or different memory usage and reading speeds than usual by having inefficient functions, so it needs to be tested each time to achieve better performance. With the previous definition we can use it in the puzzle recognized as the Rubik's cube this having 6 faces with different colors in each one, to proceed to the armed of this same one it is made use of steps which have movements that arrive to a single solution, these movements throughout history become known by the smaller amount of movements and to be able to make short times of armed and these movements will become to translate to a programming language as algorithms for example the Kociemba for the resolution of the virtual cube being able to solve, besides showing the steps that are necessary to complete the cube, however, to be able to achieve a better efficiency about assembling this same one, a robot is implemented that follows the steps that will give us the code that solves the virtual Rubik's cube by computer, obtaining speeds similar to commercial robots of up to at least 60 milliseconds approximate for each movement that it will realize.

Rainfall simulators are fundamental tools in storm analysis under the concept of physical modeling in a defined controlled space. This article addresses the improvement of a rainfall simulator according to the uniformity coefficient criterion. Based on this, improvements were proposed for the rain simulator at the National Hydraulics Laboratory (Peru) used for storm studies.

Two testing phases were evaluated. First, the flow distribution by sprinkling from a nozzle over a 17.71 m² surface was assessed, considering three different heights above this area (2.5 m, 2 m, and 1.5 m). Then, the uniformity coefficient was analyzed for each test to estimate the nozzle spacing, which was determined to be 1.2 m. The second phase involved assembling a Fulljet 1/4HH-14WSQ nozzle grid with the calculated spacing and evaluating the uniformity of the spray flow generated for the three heights tested in the first phase. The results show an 8% increase in the uniformity coefficient compared to the rain simulator with 1.5 m spacing in the laboratory. The height range that produces a uniformity coefficient greater than 75% is between 2 m and 2.5 m above the study surface.

The present study analyzes the implementation of an anti-reflective coating based on silver nanoparticles to improve the efficiency of ultrathin amorphous silicon solar cells. The absorption limitations in these cells are addressed and the impact of nanoparticle-induced optical scattering on enhancing light harvesting is explored. Through the Finite Differences in the Time Domain (FDTD) method, the interaction between incident radiation and nanoparticles is simulated, evaluating its influence on the amplification of the electric field and the conversion efficiency. The results show that the optimal arrangement of the nanoparticles allows reducing optical losses and increasing the efficiency of the device. It is concluded that the integration of metallic nanoparticles is a promising strategy to optimize the performance of thin film solar cells, which opens new possibilities for the development of more efficient and economically accessible photovoltaic technologies.

The high increase in electricity prices, as well as the absence of electricity in remote places, is a complex problem that cannot be solved even in this day and age. Scientists have tirelessly dedicated themselves to the search for alternative and sustainable ways to generate electricity. In this sense, microbial fuel cells emerge as a novel and futuristic alternative due to their use as a bioremediator and generator of electricity simultaneously. This research proposes using carbon and zinc electrodes to use microalgae “Chlorella sp.” and tannery effluents as fuel in double-chamber microbial fuel cells. The experiment successfully generated an average peak voltage of 1.046 ± 0.024V on the twelfth day, whose pH was 5.438 ± 0.241 at the anode and neutral at the cathode; with these values, ​​the value of the electric current was 2.836 ± 0.081mA. The calculated internal resistance was 134.541 ± 13.597 Ω, where the microbial fuel cell showed a power density of 254.452 ± 19.985 mW/cm2 for a current density of 4.688 ± 0.894 A/cm2, while the density found in the cathode chamber was 1.357x106 ± 0.157 x106 cell/mL.

Acid fermentation for the generation of medium-chain fatty acids (MCFA) through mixed culture is an alternative that is still under continuous study. It has been studied with greater concurrence in recent years, obtaining promising results in producing products for the pharmaceutical industry and biorefineries. This has contributed to creating a circular economy by using biomass from distilleries, livestock waste, food waste, and organic sludge. Therefore, this research aims to evaluate the state of the art of producing medium-chain fatty acids from biomass. During this acid fermentation process, electron donors are important to promote chain elongation pathways, such as β-reverse oxidation, fatty acid synthesis, or other pathways, such as maintaining a high intracellular concentration of acetyl-Coenzyme A. On the other hand, emphasis is made on different improvement processes in producing medium-chain fatty acids, such as microbial electrolysis, metabolic engineering techniques, exploitation of new enzymes, and the effect of various carbon sources. With these techniques, improved results were obtained compared to control samples. Using biomass for the generation of MCFA for chemical and pharmaceutical products, as well as for biorefining, is an innovative and constantly advancing application.