Ponce, Hiram
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Preferred name
Ponce, Hiram
Official Name
Ponce Espinosa, Hiram Eredín
Alternative Name
hponce
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ORCID
Scopus Author ID
54911890000
Researcher ID
K-7593-2019

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Mechatronic Design of a Low-Cost Smart Wheelchair Controlled by Joystick and Voice Commands

2023 , Bobadilla-Rendón, David , Monroy-Rueda de León, Irvine J. , Salazar-Salinas, Gabriel , Stefan-Lepe De Soto, Antonio , Ponce, Hiram , Moya-Albor, Ernesto , Brieva, Jorge

Elderly people have increased at an accelerated rate in recent years. In Mexico, one of the main problems affecting this population are related to disabilities, specifically limited mobility, i.e., arthritis in older adults. Different technological solutions have been proposed, such as electrical wheelchairs. However, for arthritic people, these wheelchairs are difficult to operate, lacking comfortability, and might be very expensive. In this work, we propose the development of a smart wheelchair for arthritic older adults able to move automatically and controlled by using slight manual movements of the hand and by voice commands. We followed the general methodology of a mechatronic design. A proof-of-concept model of the wheelchair was implemented. For validation, we tested the prototype in different real indoor scenarios. Results conclude that our proposed smart wheelchair complies with the user requirements, it is easy to operate, and the cost is reduced considerably. We anticipate this is a low-cost efficient smart wheelchair prototype that can be further considered for real technological solutions.

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Predict Email Success Based on Text Content

2024-01-01 , Bernardo, Edmundo , Lorenzo, Kaiulani , Reyes, Guillermo , Ponce, Hiram

Email marketing works as a top channel to generate leads for many businesses. The marketing automation platforms are part of this strategy and can improve the success of email campaigns. Many of these platforms use subject line tools to predict if an email will be opened or not, as a success metric. However, the text content is unused. Thus, this work proposes to predict the likelihood of a user clicking the Call to Action button of an email based on the content. We implement our proposal in a real-case scenario of corporate communication emails from a private university in Mexico. After building a machine learning model, the results were promising and validated our proof-of-concept. We consider the results relevant for further investigation around other ways to improve the success of an email using the text content, and this model could be reliable in most campaigns and could be used to determine which words influence the click rate metric the most.

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A Conceptual Design of a Firefighter Drone

2018 , Cervantes Zorrilla, Alonso , García Cordero, Paola , Herrera Granados, César , Morales Olvera, Elizabeth , Tarriba Strecker, Fernando , Tena Fernández, Eduardo Ricardo , Ponce, Hiram

In this paper, a mechatronic design of a firefighter drone is presented. Unmanned aerial vehicles have been around for years, they present characteristics that aloud them to be used for different purposes. Nowadays, these devices have become more popular and their application increases rapidly in various fields. This paper focuses on the implementation of a low cost device that can help to control a fire. By implementing a mechatronic device, it is possible to spot a fire on time, and extinguish it without risking humans lives. It is an emergency responder device that can assist firemen in fighting high rise fires. The description of the proposed mechatronic system is briefly described, as well as experiments that demonstrate its principal functionality. © 2018 IEEE.

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