Conference Agenda

This research is meant to be an additional security measure and high-end bat

convenience. This technology can be particularly beneficial in smart homes, offices, high-security areas, and even college campuses, offering a personalized and efficient access solution. This project aims to create and present a working prototype of a biometric door lock. In the new digital era, where technology is always expanding, we decided to research something in the realm of security. The security of your everyday phone has a face ID that is required to unlock it. That is the same security feature we are researching and developing for a life-sized door. A facial recognition system was developed using a camera module and an artificial intelligence algorithm integrated with a Raspberry Pi. The Raspberry Pi sends a signal to the solenoid door lock to open the latch once a stored face is recognized by the camera module. The final implementation is to have a digital display on the door to respond once the camera recognizes a person. Something along the lines of “Welcome, Student, Error Try Again.” The facial recognition door lock offers both enhanced security and user convenience, outperforming the traditional method of using keys and pin pads as the only method of security. Future improvements in AI algorithms could further enhance system accuracy and adaptability, marking a significant step towards more secure biometric access control systems. The following paper outlines the design, build, and programming of an open-source biometric door lock.

This project aims to create a cost-effective, voice-controlled smart wheelchair that will increase independence and improve the quality of life for children who experience mobility challenges in underserved regions in Latin America. The goal of creating a smart wheelchair with intelligent voice control incorporated is to provide an innovative, efficient, and user-friendly mobility solution with key features such as safety, obstacle avoidance, and customization that will ensure a secure experience, ultimately improving ease of navigation and reducing physical strain for users. First, the incorporated sensors check for obstacle clearance before allowing users to speak the integrated commands. After no obstacles have been detected, the voice recognition module will execute the programmed commands. The smart, voice-controlled wheelchair integrates a lightweight PVC and mild steel chassis and a lead-acid battery that powers the motors based on voice commands to ensure cost-effectiveness and user safety for a seamless operation. This project will directly impact how children with quadriplegia —complete loss of function in all four limbs—can improve their way of living and shall expand the patient’s mobility to move with ease around different environments by providing freedom to move for more than 10 hours uninterrupted at standard operating time.

The objective of this project is to design a prototype of a Hexapod Robot as an intelligent agent, capable of operating in an environment and sending alerts based on indicators collected through IoT to prevent landfill fires. The robot stands out for using low-cost technology without sacrificing functionality or efficiency.

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The research study aims to demonstrate the relationship between mechanical damage caused by wind force and the susceptibility of Tectona grandis trees to infection by the fungus Kretzschmaria zonata. To achieve this, wind speed measurements were taken using anemometers at different altitudes above sea level; the force incidence index was determined based on velocity data; the correlation between wind-induced mechanical damage and susceptibility to fungal infection was analyzed; and possible mitigation strategies were discussed. The main result indicated that as the wind force magnitude increased, the spread of the fungus in trees also increased, confirming the initial hypothesis. Finally, possible mitigation strategies are proposed to optimize economic gains and maximize the ecological benefits offered by teak.

This work explores the application of Model Reference
Adaptive Control (MRAC) to the design of a robotic
arm capable of carrying loads of varying weights. The objective
is to develop a control strategy that ensures the robotic arm
can adapt to different load conditions while maintaining stable
and accurate performance. The MRAC controller is designed to
adjust its parameters in real-time based on the error between the
system’s actual output and a reference model, which represents
the desired behavior of the arm. The system is modeled in the
state-space domain, and the MRAC controller is implemented
and tested in MATLAB. A comparison is made between the
MRAC controller and a conventional control approach, which
struggles with handling varying loads. The results show that the
MRAC controller significantly improves the robotic arm’s ability
to carry different weights, offering superior performance in terms
of stability, adaptability, and accuracy under dynamic conditions.

OpenStack is a library of open source software projects, developed to be integrated forming the foundations of Cloud Computing platforms for both Private and Public cloud distributions. Cloud computing relies on remote servers hosted on the Internet rather than a local server/computer. OpenStack consist of many different modular core segments (Nova, Neutron, Glance, Keystone, Horizon, and Ceilometer). Neutron is the networking service which implements services and associated libraries to provide an on-demand, scalable and technologyagnostic network abstraction layer. In this paper we compare and contrast the advantages and disadvantages of implementing OpenStack on a personal computer Virtual Machine (VM) using Ubuntu Server OS. Our main focus is on Neutron (network service) in OpenStack and their limitations

The development of vertical take-off and landing (VTOL) aircraft has gained relevance in the aeronautical industry due to their versatility; in particular, the possibility of using them to generate a positive impact, both ecological and social, is becoming increasingly evident. This paper presents the structural design of a VTOL aircraft that combines the advantages of drones and fixed-wing aircraft, with the aim of optimizing aerodynamic efficiency and stability during flight. This was designed with a NACA 4412 airfoil, considering a lightweight 3D printed fuselage and a 6061-aluminum reinforced structure. Structural simulations were performed in NX Siemens to evaluate the strength and stability of the components, ensuring that deformations and stresses were kept within safe ranges. The results indicate that the proposed design is feasible for the implementation of efficient and low-cost VTOL aircraft, which could expand its use in various applications, including social and environmental. As future work, the construction and experimental validation of the prototype at scale is pending, in order to evaluate its behavior in real operating conditions.

This article describes the development and implementation of a project carried out at the University of Pamplona, aimed at recycling polyethylene terephthalate (PET) bottles for the production of sustainable filament used in 3D printing applications. This initiative seeks to reduce the generation of plastic waste within the university environment and to foster a culture of environmental sustainability. The project emphasizes the active involvement of students from the Mechatronic Engineering program, who participate in all stages of the recycling and filament manufacturing process. This hands-on experience promotes the integration of skills related to polymer recycling, materials engineering, and digital manufacturing technologies. Furthermore, the study analyzes the positive environmental impact generated by the reuse of PET, as well as the educational applications of the recycled filament and the potential for collaboration with industrial partners