{"id":659,"date":"2020-05-06T20:12:57","date_gmt":"2020-05-06T20:12:57","guid":{"rendered":"http:\/\/wam.ece.ufl.edu\/?page_id=659"},"modified":"2026-04-10T12:12:31","modified_gmt":"2026-04-10T17:12:31","slug":"iot","status":"publish","type":"page","link":"https:\/\/faculty.eng.ufl.edu\/wam\/research\/iot\/","title":{"rendered":"IoT Cyber-infrastructure"},"content":{"rendered":"

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\nIoT-based Construction Environments<\/a><\/h4>\n

Digital Twins Technology to ensure Food Safety<\/a><\/h4>\n

Precision Crop MicroFarm Monitoring
\n<\/a><\/h4>\n

Vehicular Networks<\/a><\/h4>\n
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\nElements: Cyberinfrastructure Service for IoT-Based Construction Research and Applications<\/h5>\n

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\n\u200e Project Sponsor:<\/strong> National Science Foundation, Award#2004544<\/a>.<\/p>\n

\"Diagram<\/a><\/p>\n

Personnel:
\nFaculty: A. Costin, J. McNair, I. Jeelani, and S. Koppal
\nAlumni: N\/A
\nGraduate Students: TBD
\nUndergraduate Students: Kyle Morman<\/strong>
\n
\nProject Goal:
\nThis 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.<\/strong><\/p>\n

Presentations<\/h5>\n
    \n
  1. Enabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite<\/a>
    \nK. Morman, A. Costin, and J. McNair. \u201cEnabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite.\u201d European Council on Computing in Construction (EC3 Conference), Vol. 4. 2023.<\/li>\n<\/ol>\n
    Publications<\/h5>\n

    Submitted<\/p>\n

      \n
    1. TBA<\/li>\n<\/ol>\n

      To Appear<\/p>\n

        \n
      1. TBA<\/li>\n<\/ol>\n

        Published<\/p>\n

          \n
        1. A. Abiru, K. Morman, A. Costin, and J. McNair, \u201cPoster: SMGP-IoT: A Simultaneous MultiProtocol Gateway for IoT Access Networks\u201d, IEEE Military Communications Conference (Milcom), Student Workshop, October 2024.<\/li>\n
        2. C. Brant, U. Sunkara, and J. McNair, \u201cH-CODIFT: Hardware Supported Compiler-Based DIFT for IoT and Embedded Devices,\u201d IEEE Consumer Communications and Networking Conference (CCNC), August 2024.<\/li>\n
        3. U. Sunkara, A. Abiru, K. Morman, and A. Costin, \u201cPoster: Hardware Security for IoT Wireless Network,\u201d IEEE Conference on Network Sofwarization (NetSoft), June 2024. (McNair\u2019s name withheld to avoid conflict due to Co-Chair role at NetSoft 2024.)<\/li>\n
        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 \u201923), May 2023.\u00a0<\/span>\u00a0<\/span><\/li>\n
        5. K. Morman, A. Costin, and J. McNair. \u201cEnabling intelligent jobsites: advancing the integration of construction 4.0 devices within the connected jobsite.\u201d European Council on Computing in Construction (EC3 Conference), Vol. 4. 2023.<\/li>\n
        6. A. Costin and J. McNair, \u201cIoT and Edge Computing in the Construction Site,\u201d Web Technologies for the Built Environment, in press, 2021.<\/li>\n
        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.<\/li>\n<\/ol>\n
          Digital Twin Technology to Ensure Food Safety<\/h5>\n

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          \n\u200e
          \nPersonnel:
          \n<\/span>Ziynet Boz and Rafael Mu\u00f1oz-Carpena\u00a0 Department of Agricultural and Biological Engineering
          \nJanise McNair, Department of Electrical and Computer Engineering
          \nMichelle Danyluk, Department of Food Science and Human Nutrition<\/span><\/span><\/span><\/span><\/p>\n

          Students
          \nMert Canatan
          \n<\/span><\/span>Quadri Abiru<\/span><\/p>\n

          Project Goal:
          \nThe overarching objective of this proposal is to demonstrate the concept of\u00a0 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.<\/span><\/span><\/p>\n

          Publications<\/h5>\n

          To be announced.<\/p>\n

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          \n\u200e
          \n\u200e Precision Crop Micro-Farm Monitoring
          \n\u200e <\/h5>\n

          \"Research<\/a><\/p>\n

          Personnel:
          \nFaculty: C. Fraisse, J. McNair
          \nAlumni: N\/A
          \nGraduate Students: T. Borba Onofre
          \nUndergraduate Students: TBD<\/strong>
          \n
          \nProject Goal:
          \nThe 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<\/strong><\/p>\n

          Publications<\/h5>\n