Millimeter-wave and Microwave Imaging with Machine Learning Algorithm
Determining food quality and food safety is critical for human health. The research team is building millimeter-wave and microwave imaging systems to determine food quality and food safety. Machine learning algorithms are applied to identify the freshness of food.
(Collaborators: Dr. Lingyan Kong at Univ of Alabama and Dr. Yu Gan at Stevens Institute of Technology) [1] J. Garvin, F. Abushakra, Z. Choffin, B. Shiver, Y. Gan, L. Kong, N. Jeong, "Microwave imaging for watermelon maturity determination," Current Research in Food Science (Impact factor=6.269), 2022, 100412, ISSN 2665-9271, https://doi.org/10.1016/j.crfs.2022.100412 [2] M. Ahmed, H. Mustafa, M. Wu, L. Kong, N. Jeong, Y. Gan, "Few Shot Learning for Avocado Maturity Determination from Microwave Images," Journal of Agriculture and Food Research, Volume 15, 2024, https://doi.org/10.1016/j.jafr.2024.100977 [3] N. Jeong, L. Kong, Y. Gan, "Emerging Non-invasive Microwave and Millimeter-wave Imaging Technologies for Food Inspection," submitted to Trends in Food Science & Technology |
Research |
Internet of Things (IoT): Smart Shoe-sensor System with Machine Learning
Human wears shoes to protect foot for million years. Nowdays, shoes become a computing machine to analyze huamn body movement and monitor the health. (Collaborators: Dr. Michael Callihan at University of North Carolina, Dr. Kayla Glass at University of Alabama, and Dr. Hyeyoung Hah at Florida Internatioanl University)
[1] Z. Choffin, N. Jeong, M. Callihan, E. Sazonov, S. Jeong, "Lower Body Joint Angle Prediction Using Machine Learning and Applied Biomechanical Inverse Dynamics," Sensors. 2023; 23(1):228. https://doi.org/10.3390/s23010228.
[2] W. Anderson, Z. Choffin, N. Jeong, M. Callihan, S. Jeong, and E. Sazonov. 2022. "Empirical Study on Human Movement Classification Using Insole Footwear Sensor System and Machine Learning" Sensors 2022, no. 7, 2743. doi:10.3390/s22072743. (open access download)
[3] Choffin, Z.; Jeong, N.; Callihan, M.; Olmstead, S.; Sazonov, E.; Thakral, S.; Getchell, C.; Lombardi, V. Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique. Sensors 2021, 21, 3790. doi:10.3390/s21113790. (open access download)
[1] Z. Choffin, N. Jeong, M. Callihan, E. Sazonov, S. Jeong, "Lower Body Joint Angle Prediction Using Machine Learning and Applied Biomechanical Inverse Dynamics," Sensors. 2023; 23(1):228. https://doi.org/10.3390/s23010228.
[2] W. Anderson, Z. Choffin, N. Jeong, M. Callihan, S. Jeong, and E. Sazonov. 2022. "Empirical Study on Human Movement Classification Using Insole Footwear Sensor System and Machine Learning" Sensors 2022, no. 7, 2743. doi:10.3390/s22072743. (open access download)
[3] Choffin, Z.; Jeong, N.; Callihan, M.; Olmstead, S.; Sazonov, E.; Thakral, S.; Getchell, C.; Lombardi, V. Ankle Angle Prediction Using a Footwear Pressure Sensor and a Machine Learning Technique. Sensors 2021, 21, 3790. doi:10.3390/s21113790. (open access download)
Miniaturized Radar for Snow Depth and Soil Moisture Measurements
Global warning causes unprecedented flood and drought on the Earth. This research focuses on building a miniaturized FMCW radar mounted on an UAV and imaging snow and soil moisture under the ground. (Collaborators: Dr. Prasad Gogineni and Dr. Drew Taylor at University of Alabama)
[1] F. Abushakra1, S. Kolpuke, C. Simpson, O. Reyhanigalangashi1, J. Pierce., N. Jeong, J. Larson, D. Braaten, D. Taylor, S. P. Gogineni1and, "Snow Depth Measurements with Ultra-Wideband Compact FMCW Radar on a small Unmanned Aircraft System," IEEE Journal of Radio Frequency Identification on March 13, 2023. DOI: 10.1109/JRFID.2023.3259240
[2] F. Abushakra, N. Jeong, D. Elluru1, A. Awasthi1, S. Kolpuke, T. Luong, O. Reyhanigalangashi, D. Taylor, S. P. Gogineni, "A Miniaturized Ultra-Wideband Radar for UAV Remote Sensing Applications," IEEE Microwave and Wireless Components Letters, vol. 32, no. 3, pp. 198-201, March 2022, doi: 10.1109/LMWC.2021.3129153. (Selected as a featured article in IEEE MTT-S Newsletter in January 2022 issue)
[3] F. Abushakra, A. Al-Zoubi, I. AI-Hmoud, T. Walpita, and N. Jeong, "Wideband and High Efficiency 64-Element RDRA Array for Radar Applicaiton," IEEE Open Journal of Antennas and Propagation, vol. 2, pp. 932-936, 2021, doi: 10.1109/OJAP.2021.3111434
[1] F. Abushakra1, S. Kolpuke, C. Simpson, O. Reyhanigalangashi1, J. Pierce., N. Jeong, J. Larson, D. Braaten, D. Taylor, S. P. Gogineni1and, "Snow Depth Measurements with Ultra-Wideband Compact FMCW Radar on a small Unmanned Aircraft System," IEEE Journal of Radio Frequency Identification on March 13, 2023. DOI: 10.1109/JRFID.2023.3259240
[2] F. Abushakra, N. Jeong, D. Elluru1, A. Awasthi1, S. Kolpuke, T. Luong, O. Reyhanigalangashi, D. Taylor, S. P. Gogineni, "A Miniaturized Ultra-Wideband Radar for UAV Remote Sensing Applications," IEEE Microwave and Wireless Components Letters, vol. 32, no. 3, pp. 198-201, March 2022, doi: 10.1109/LMWC.2021.3129153. (Selected as a featured article in IEEE MTT-S Newsletter in January 2022 issue)
[3] F. Abushakra, A. Al-Zoubi, I. AI-Hmoud, T. Walpita, and N. Jeong, "Wideband and High Efficiency 64-Element RDRA Array for Radar Applicaiton," IEEE Open Journal of Antennas and Propagation, vol. 2, pp. 932-936, 2021, doi: 10.1109/OJAP.2021.3111434
Vehicle-to-Everything Communication
Connected and automated vehicles becomes important in improving road safety and saving human lives. The multidisciplinary research team investigates Cellular V2X technology to enhance fuel consumption and traffic throughoutput, ultimately making intelligent transportation system.
(Collaborators: Dr. Bharat Balasubramanian, Dr. Joshua Bittle, Dr. Alexander Hainen, Dr. Hwan-Sik Yoon, and Dr. Travis Atkison at University of Alabama)
[1] Z. Choffin, R. William, A. Hainen, B. Alasubramanian, J. Bittle, H.-S. Jo, and N. Jeong, "GPS Accuracy of the Latest C-V2X Units for V2X Application," accepted to IEEE VPPC (Vehicle Power and Propulsion Conference), October 2023
[2] Z. Choffin, N. Jeong, H.-S. Jo, and S. Jeong, "Utilization of Path History Data for the Extension of V2X Network Coverage," accepted to International Conference on Information and Communication Technology convergence (ICTC), October 2023
(Collaborators: Dr. Bharat Balasubramanian, Dr. Joshua Bittle, Dr. Alexander Hainen, Dr. Hwan-Sik Yoon, and Dr. Travis Atkison at University of Alabama)
[1] Z. Choffin, R. William, A. Hainen, B. Alasubramanian, J. Bittle, H.-S. Jo, and N. Jeong, "GPS Accuracy of the Latest C-V2X Units for V2X Application," accepted to IEEE VPPC (Vehicle Power and Propulsion Conference), October 2023
[2] Z. Choffin, N. Jeong, H.-S. Jo, and S. Jeong, "Utilization of Path History Data for the Extension of V2X Network Coverage," accepted to International Conference on Information and Communication Technology convergence (ICTC), October 2023
Wireless Power Transfer
Imagine electronic devices and autonomous robots are self sustainable by harvesting power from environment. This research tackles the current limiation of the wired power charging of electric vehicle, drones, mobile devices, and Internet-of-Thing (IoT) units.
(Collaborators: Dr. Sangkil Kim at Pusan National University and Dr. Hee-Jo Lee at Daegu University)
[1] N. Jeong, S. Kim, H.-J. Lee, and J. H. Kim, "Wireless Charging of a Metal-Encased Device," IEEE Transactions on Antennas and Propagation, vol. 70, pp. 654-663, January 2022, doi: 10.1109/TAP.2021.3102023
[2] N. S. Jeong and F. Carobolante, “Wireless Charging of a Metal-Body Device,” IEEE Transaction on Microwave Theory and Techniques, vol. 65, no. 4, pp. 1077-1086, April 2017. doi: 10.1109/TMTT.2017.2673820
(Collaborators: Dr. Sangkil Kim at Pusan National University and Dr. Hee-Jo Lee at Daegu University)
[1] N. Jeong, S. Kim, H.-J. Lee, and J. H. Kim, "Wireless Charging of a Metal-Encased Device," IEEE Transactions on Antennas and Propagation, vol. 70, pp. 654-663, January 2022, doi: 10.1109/TAP.2021.3102023
[2] N. S. Jeong and F. Carobolante, “Wireless Charging of a Metal-Body Device,” IEEE Transaction on Microwave Theory and Techniques, vol. 65, no. 4, pp. 1077-1086, April 2017. doi: 10.1109/TMTT.2017.2673820
Antenna Design Using Artificially Immune System (AIS) Optimization
A nature-inspired Dynamic Hybrid Binary Particle Swarm Optimization (DH-BPSO) algorithm can improve the bandwidth of an inverted-F antenna (IFA). The proposed algorithm improves upon the existing Artificial Immune System (AIS) algorithm by including a weighting factor that dynamically changes throughout the optimization. The DH-BPSO optimized and conventional IFAs are fabricated and compared while maintaining the same antenna volume. The measurement results show that the optimized IFAs have characteristics of 58.6% wider bandwidths and 5.8% higher antenna gain for various ground clearance lengths at Long Term Evolution (LTE) 700 MHz band compared to the conventional IFAs.
[1] Alnas, J.; Giddings, G.; Jeong, N. Bandwidth Improvement of an Inverted-F Antenna Using Dynamic Hybrid Binary Particle Swarm Optimization. Applied Science, 2021, 11, 2559. doi:10.3390/app11062559. https://doi.org/10.3390/app11062559
[2] H. Clark and N. S. Jeong , "Concurrent Gain and Bandwidth Improvement of a Patch Antenna with a Hybrid Particle Swarm Optimization Algorithm," IEEE 20th Wireless and Microwave Technology Conference (WAMICON), pp. 1-3, Cocoa Beach, FL, USA, 2019. doi: 10.1109/WAMICON.2019.8765432
[1] Alnas, J.; Giddings, G.; Jeong, N. Bandwidth Improvement of an Inverted-F Antenna Using Dynamic Hybrid Binary Particle Swarm Optimization. Applied Science, 2021, 11, 2559. doi:10.3390/app11062559. https://doi.org/10.3390/app11062559
[2] H. Clark and N. S. Jeong , "Concurrent Gain and Bandwidth Improvement of a Patch Antenna with a Hybrid Particle Swarm Optimization Algorithm," IEEE 20th Wireless and Microwave Technology Conference (WAMICON), pp. 1-3, Cocoa Beach, FL, USA, 2019. doi: 10.1109/WAMICON.2019.8765432