Chavez, J. E., & Mabry, A., & andon, C., & Salas, S. R., & Caglayan, O., & Collins, J. C. (2022, March), Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring  Paper presented at 2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas. 10.18260/1-2--39188

\bibitem{asee_peer_39188}
  Chavez, J. E., \& Mabry, A., \& andon, C., \& Salas, S. R., \& Caglayan, O., \& Collins, J. C. (2022, March), \emph{Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring}
  Paper presented at 2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas.
  10.18260/1-2--39188

Jose Eric Chavez Jr., Alyssa Mabry, christian andon, Selena  R Salas, Okan Caglayan, and James Christopher Collins.  "Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring".  2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas, 2022, March.  ASEE Conferences, 2022.  https://peer.asee.org/39188 Internet.  23 Apr, 2024

\bibitem{asee_peer_39188}
  Jose Eric Chavez Jr., Alyssa Mabry, christian andon, Selena  R Salas, Okan Caglayan, and James Christopher Collins.
  "Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring".
  \emph{2022 ASEE Gulf Southwest Annual Conference, Prairie View, Texas, 2022, March}.
  ASEE Conferences, 2022.
  https://peer.asee.org/39188 Internet.  23 Apr, 2024

@INPROCEEDINGS{asee_peer_39188
author = "Jose Eric Chavez Jr., Alyssa Mabry, christian andon, Selena  R Salas, Okan Caglayan, and James Christopher Collins"
title = "Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring"
booktitle = "2022 ASEE Gulf Southwest Annual Conference"
year = "2022"
month = "March"
address = "Prairie View, Texas"
publisher = "ASEE Conferences"
note = {https://peer.asee.org/39188}
number = {10.18260/1-2--39188}
}

TY  - CPAPER
AB  - This paper presents a collaborative senior capstone research experience in developing an integrated multi-sensor remote system design for real-time indoor air quality (IAQ) monitoring to mitigate the risk of seasonal respiratory vital diseases. Studies have revealed the effect of a room’s occupancy, temperature, humidity, and carbon dioxide (CO2) levels on respiratory virus stability and spread. The long-term goal of the proposed collaborative research between Engineering, Computer Information Systems and Cybersecurity students is to provide safe and healthy spaces by acquiring, classifying, and disseminating IAQ data to support their community in making informed decisions on daily actions in entering indoor spaces, such as cafeteria, bookstore, or taking the shuttle on campus. The proposed low-power, portable, low-cost multi-sensor embedded system collects real-time information about air temperature, humidity, occupancy, Carbon dioxide levels, processes the information and provides visual alerts via a website. The multi-sensor system was developed and implemented using an Arduino MEGA 2560 for sensor data acquisition and rapid processing, a Raspberry Pi Model 3B+ for sensor data fusion, analysis, and presentation using an integrated Apache web server. The processed IAQ data is displayed on a community website to inform the current conditions of the indoor space with options of  safe, unsafe, or should be visited with caution. The entire sensor and processing platform was subjected to a full cybersecurity system vulnerability assessment for risk mitigation to exploitation. This project provided the senior Engineering, Computer Information Systems and Cybersecurity students an invaluable opportunity to apply their existing technical knowledge, improve their time management, communication skills, and work as a team on a real-world problem.
AU  - Jose Eric Chavez Jr.
AU  - Alyssa Mabry
AU  - christian andon
AU  - Selena  R Salas
AU  - Okan Caglayan
AU  - James Christopher Collins
CY  - Prairie View, Texas
DA  - 2022/03/16
PB  - ASEE Conferences
TI  - Integrated Multi-Sensor Remote System Design for  Real-Time Indoor Air Quality Monitoring
UR  - https://peer.asee.org/39188
DO  - 10.18260/1-2--39188
ER  -