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IoT Cyber-infrastructure

 
 

IoT-based Construction Environments

Digital Twins Technology to ensure Food Safety

Precision Crop MicroFarm Monitoring

Vehicular Networks

 

 

Elements: Cyberinfrastructure Service for IoT-Based Construction Research and Applications

Project Sponsor: National Science Foundation, Award#2004544.


Personnel:
Faculty: A. Costin, J. McNair, I. Jeelani, and S. Koppal
Alumni: N/A
Graduate Students: TBD
Undergraduate Students: Kyle Morman

Project Goal:
This proposal develops a robust cyberinfrastructure (CI) system and service for construction research and applications to address the current challenges faced in the construction industry. The outcomes and services that that this proposal aims to provide are 1) a distributed SDN-managed and AI-assisted IoT-based system that can be adapted and extended based on needs of the research and application; 2) identification of the data and data security requirements needed to address the challenges in the construction industry and potential technologies that can provide those data; 3) evaluation of reliable real-time multi-sensor fusion techniques for ruggedness, usability, and limitations of IoT-based components deployed in the dynamic construction environments; 4) robust prototype system for real-time safety monitoring based on the IoT system framework; and 5) recommendations of potential configurations of the system with the appropriate technology and sensors to meet the needs of the application. 
Presentations
  1. Enabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite
    K. Morman, A. Costin, and J. McNair. “Enabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite.” European Council on Computing in Construction (EC3 Conference), Vol. 4. 2023.
Publications

Submitted

  1. TBA

To Appear

  1. TBA

Published

  1. A. Abiru, K. Morman, A. Costin, and J. McNair, “Poster: SMGP-IoT: A Simultaneous MultiProtocol Gateway for IoT Access Networks”, IEEE Military Communications Conference (Milcom), Student Workshop, October 2024.
  2. C. Brant, U. Sunkara, and J. McNair, “H-CODIFT: Hardware Supported Compiler-Based DIFT for IoT and Embedded Devices,” IEEE Consumer Communications and Networking Conference (CCNC), August 2024.
  3. U. Sunkara, A. Abiru, K. Morman, and A. Costin, “Poster: Hardware Security for IoT Wireless Network,” IEEE Conference on Network Sofwarization (NetSoft), June 2024. (McNair’s name withheld to avoid conflict due to Co-Chair role at NetSoft 2024.)
  4. K. Morman, D. Dexter, A. Costin, J. McNair Poster Abstract: An IoT Mesh Network for a Smart Refrigeration Monitoring System. In International Conference on Internet-of-Things Design and Implementation (IoTDI ’23), May 2023.  
  5. K. Morman, A. Costin, and J. McNair. “Enabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite.” European Council on Computing in Construction (EC3 Conference), Vol. 4. 2023.
  6. A. Costin and J. McNair, “IoT and Edge Computing in the Construction Site,” Web Technologies for the Built Environment, in press, 2021.
  7. A. Costin, J. McNair, I. Jeelani, and S. Koppal, “Intelligent Jobsites- An integrated IoT Platform for the Construction Environment,” to appear in the Artificial Intelligence in Architecture, Engineering and Construction Conference, March 2021.
 
 
 
Digital Twin Technology to Ensure Food Safety

Personnel:
Ziynet Boz and Rafael Muñoz-Carpena  Department of Agricultural and Biological Engineering
Janise McNair, Department of Electrical and Computer Engineering
Michelle Danyluk, Department of Food Science and Human Nutrition

Students
Mert Canatan
Quadri Abiru

Project Goal:
The overarching objective of this proposal is to demonstrate the concept of  Digital Twin technology in the cold chain applications of fresh produce. The temperature of the refrigerated case and temperature-related quality of fresh produce will be monitored based on the sensor data and mechanistic models run real time. User interface will provide optimum shelf life decision criteria for the refrigerator (e.g., assets) operation or food handling (e.g. sale incentives, donation, etc.

Publications

To be announced.

 
 
 
Precision Crop Micro-Farm Monitoring

Personnel:
Faculty: C. Fraisse, J. McNair
Alumni: N/A
Graduate Students: T. Borba Onofre
Undergraduate Students: TBD

Project Goal:
The advancement of new technologies, such as the Internet of Things (IoT), provides an opportunity for enhancing precision agriculture-based management practices and enabling lower lost technology to become more attractive. The main objective of this research is to design, implement, and monitor site-specific weather conditions at the farm level using Internet of Things and Wireless Sensor Networks
Publications
  • Submitted
    1. TBA
  • To Appear
    1. TBA
  • Published
    1. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C., “A Design and Development Experience of an Internet of Things Platform to Monitor Site-Specific Weather Conditions at the Farm Level,” Applied Engineering in Agriculture (2021). 37(4): 691-700. (doi: 10.13031/aea.14005)
    2. T. Borba Onofre, C. Fraisse, J. McNair, J. Judge,, L. Zotarelli, N. Peres, “Development of a Wireless Sensor Network for Field-level Strawberry Disease Alert Systems,” Applied Engineering in Agriculture (2020). 37(1): 183-192.
    3. T. Borba Onofre, C.W. Fraisse, N.A. Peres, J. McNair, “How to Avoid Common Problems with Leaf Wetness Sensor Installation and Maintenance,” AE538/AE538, Florida Online Journal, UF/IFAS EDIS, vol 2020, no 1, May 4, 2020.
  • Presentations
    1. 1. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “Development, implementation, and evaluation of a Wireless Sensor Network for a Disease Warning System” Lecture presented at the 2018 ASABE Annual International Meeting, Detroit, MI – USA, 2018.
    2. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “Evaluation of a Wireless Sensor Network for a Strawberry Advisory System” Lecture presented at the FL ASABE Annual International Meeting, Jensen Beach, FL – USA, 2018.
    3. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C., “Development, implementation, and evaluation of a Wireless Sensor Network for a Disease Warning System” Lecture presented at the FL ASABE Annual International Meeting – Jupiter – FL, 2017.
    4. Onofre, T.B., Cerbaro, V.A., Peres, N., Zotarelli, L., McNair J., Fraisse, C. “A Wireless Sensor Network for Strawberry Monitoring.” Lecture at the 2017 ASABE Annual International Meeting – Spokane, WA – USA, 2017.
 
 
 
Vehicular Networks

Personnel:
Faculty: J. McNair
Alumni: Javier Del Aguila Martos, Quadri Abiru
Graduate Students: TBD
Undergraduate Students: NSF Research Experiences for Undergraduates (REU): Secure, Accessible, and Sustainable Transportation (SAST)

Project Goal: This project examines a network of autonomous vehicles (AVs) communicating with data servers in an urban mobility scenario, studying network behavior in normal situations and under Denial of Service (DoS) attacks. Data is extracted from the simulations to train and test a neural network whose objective is to successfully detect attacks on the AV network to improve its security.

Publications

  • Submitted
    1. TBA
  • To Appear
    1. TBA
  • Published
    1. J. del Aguila Martos. BS Thesis. Autonomous Vehicle Network Cyberattack Modeling and Machine Learning-based Defense Scheme. Supervisor: J. McNair. July 2024.