Title: |
Application for the management and administration of a mechanical workshop Aplicación para la gestión y administración de un taller mecánico |
Authors: |
Mtra. Diana Concepción Mex Alvarez, Dra. Luz María Hernández Cruz, Dra. Charlotte Monserrat Llanes Chiquini, Dra. Margarita Castillo Téllez, Dra. Mayra Deyanira FloresGuerrero, Br. Rafael Alejandro Moreno Chel |
Source: |
International Journal of Latest Engineering Research and Applications, pp 01 - 17, Vol 08 - No. 10, 2023 |
Abstract: |
The present work proposes the creation of an application designed to This work proposes the creation of an application designed to manage and administrate a mechanical and administer a mechanical workshop located in the city of Campeche. This system offers two types of records: one for the workers and administrators of the mechanic workshop, and another one for the customers. These records are designed to simplify and optimize the workshop's day-to-day activities, including tracking customers, vehicles and repair jobs, as well as managing the inventory of parts and spare parts. This project begins with a detailed software requirements specification (ERS), which lays the foundation for the development of the application. The application itself has been built rigorously following these software requirements. The central component in the requirements specification phase has been the precise definition of these software requirements. |
Keywords: |
Requirements specification, software requirements, machine shop. |
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DOI: |
10.56581/IJLERA.8.10.01-17 |
Title: |
A preliminary study of artificial learning algorithms for hearing loss detection in children |
Authors: |
Vázquez Muñoz Kirath1 Pulido JRG, Andrade-Aréchiga María, Aguilar Lobo Lina María |
Source: |
International Journal of Latest Engineering Research and Applications, pp 18 - 23, Vol 08 - No. 10, 2023 |
Abstract: |
This article presents a study carried out applying kNN to a dataset of Brainstem Auditory Evoked Potentials for a timely detection of hearing loss in children. Also a comparative analysis of the MLP and kNN artificial learning algorithms is carried out. The precision between one and the other is evaluated, in order to identify which one is better to solve this kind of problem. |
Keywords: |
Brainstem Auditory Evoked Potential (BAEP), k Nearest Neighbor (kNN), Multilayer Perceptron (MLP). |
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Title: |
Exploring the Intersection of Law and Innovation in International Maritime Trade |
Authors: |
Gabriel |
Source: |
International Journal of Latest Engineering Research and Applications, pp 24 - 30, Vol 08 - No. 10, 2023 |
Abstract: |
The international maritime trade industry is undergoing a remarkable transformation driven by technological innovations. This article explores the intersection of law and innovation in international maritime trade, focusing on key developments, challenges, and legal frameworks. Innovations such as autonomous shipping, blockchain technology, and digital platforms are reshaping the industry, raising issues of liability, data privacy, cybersecurity, and regulatory compliance. International and national legal systems are adapting to accommodate these changes, with the International Maritime Organization (IMO) issuing guidelines for autonomous shipping and the United Nations Convention on the Law of the Sea (UNCLOS) providing a framework for digital platforms. Real-world case studies, including Maersk's use of blockchain and Norway's approach to autonomous shipping, illustrate the legal implications of innovation. The future of maritime trade will be marked by a delicate balance between innovation and regulation, with a focus on harmonization of international regulations, standardization, and ethical considerations. This article underscores the critical role of legal systems in ensuring the responsible and efficient evolution of international maritime trade. |
Keywords: |
Maritime Law. International Maritime Trade. Digitization. |
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DOI: |
10.56581/IJLERA.8.10.24-30 |
Title: |
Smart material magnetorheological elastomer-based to reduce vibration |
Authors: |
Gigih Priyandoko, Purbo Suwandono, Muhammad Ilman Nur Sasongko |
Source: |
International Journal of Latest Engineering Research and Applications, pp 31 - 36, Vol 08 - No. 10, 2023 |
Abstract: |
This article describes the creation of an adjustable stiffness vibration isolator that employs magnetorheological elastomer (MRE) - a smart material - to reduce undesirable vibration. The initial phase involved the design of the vibration isolator, followed by magnetic circuit simulation. Finite Element Method Magnetics (FEMM) software was subsequently used to demonstrate the generation of magnetic fields within the vibration isolator by MRE samples. The selection of the housing material and the MRE thickness is deemed necessary to complement a sufficiently strong and homogenous magnetic field, which alters stiffness. The magnetic circuit design is innovative and takes into account factors such as the wire type, size, and coil turns for the optimal magnetic field. Lastly, the performance of the MRE vibration isolator is examined through analyses of the various current inputs in the coil. The increase in the value of the input electric current is more effective in modifying the raised stiffness value of the MRE-based isolator system. |
Keywords: |
Magnetorheological Elastomer,Smart Material, Isolator, Vibration |
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DOI: |
10.56581/IJLERA.8.10.31-36 |
Title: |
Standards Improvement for Face-Mask Detection in an Elevator Prototype to Prevent Covid 19 Spreading |
Authors: |
Laila Damri |
Source: |
International Journal of Latest Engineering Research and Applications, pp 37 - 49, Vol 08 - No. 10, 2023 |
Abstract: |
In the context of the COVID-19 prevention this article proposes an upgrade of a reliable method to detect in several conditions the wearing mask in some critical places. This paper contains the new innovative option which we added to the elevator prototype system the masked Face Recognition. This makes face recognition a very difficult task since certain parts of the face are hidden, we propose a reliable method based on discard masked region and deep learning-based features to address the problem of the masked face recognition process. This article presents the improvement works carried out in the operation of an elevator to improve the rate of prevention of covid, by proposing a study case of a microcomputer – based elevator system prototype, using DC motor, gear, controller circuit etc., that carries out an experimental implementation with the simulation software. In otherwise, a thermal detection system is implemented to react in case of detection of abnormal temperature and save this information in a database. |
Keywords: |
Artificial intelligence, Deep learning, Embedded systems, Face recognition, Masked face detection, Thermal detection. |
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DOI: |
10.56581/IJLERA.8.10.37-49 |