Publications (Selected)

   Refereed Journal Articles:

 

  • C. Wang, Y. Lin; Y. Ptukhin; Shichao Liu, 2023. Air quality in the car: how CO2 and body odor affect drivers’ cognition and driving performance? Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2023.168785

  • Zhang, H., Liang, J., Zhang, J., Zhang, T., Lin, Y., & Wang, Y., 2023. Attention-Driven Memory Network for Online Visual Tracking. IEEE transactions on neural networks and learning systems, PP, 10.1109/TNNLS.2023.3299412. Advance online publication. https://doi.org/10.1109/TNNLS.2023.3299412
  • Zhang, H., Zhu, L., Wu, H., Zhao, Y., Lin, Y. and Zhang, J., 2023. Adaptive distractor-aware for siamese tracking via enhancement confidence evaluator. Applied Intelligence, pp.1-19. https://doi.org/10.1007/s10489-023-05068-4
  • Pouromran, F., Lin, Y. and Kamarthi, S., 2023. Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques. arXiv preprint arXiv:2303.10607. https://doi.org/10.48550/arXiv.2303.10607
  • Pouromran, F., Lin, Y. and Kamarthi, S., 2022. Personalized Deep Bi-LSTM RNN Based Model for Pain Intensity Classification Using EDA Signal. Sensors, 22(21), p.8087. https://doi.org/10.3390/s22218087
  • H Xu, R Hu, Y Lin, H Juan, X Tang, 2022. Novel technique of controlled laser air-force detection for rheological properties of polymers, International Journal of Agricultural and Biological Engineering 15 (1), 62-70. https://doi.org/10.25165/j.ijabe.20221501.6494
  • Lin, Y., Xiao, Y., Wang, L., Guo, Y., Zhu, W., Dalip, B., Kamarthi, S., Schreiber, K.L., Edwards, R.R. and Urman, R.D., 2022. Experimental Exploration of Objective Human Pain Assessment Using Multimodal Sensing Signals. Frontiers in Neuroscience, 16, p.20. https://doi.org/10.3389/fnins.2022.831627
  • Wang, L., Guo, Y., Dalip, B., Xiao, Y., Urman, R.D. and Lin, Y., 2022. An experimental study of objective pain measurement using pupillary response based on genetic algorithm and artificial neural network. Applied Intelligence, 52(2), pp.1145-1156. https://doi.org/10.1007/s10489-021-02458-4
  • Guo, Y., Wang, L., Xiao, Y. and Lin, Y., 2021. A personalized spatial-temporal cold pain intensity estimation model based on facial expression. IEEE Journal of Translational Engineering in Health and Medicine, 9, pp.1-8. DOI:10.1109/JTEHM.2021.3116867
  • Zhang, H., Chen, J., Nie, G., Lin, Y., Yang, G. and Zhang, W.C., 2021. Light regression memory and multi-perspective object special proposals for abrupt motion tracking. Knowledge-Based Systems, 226, p.107127. https://doi.org/10.1016/j.knosys.2021.107127
  • Wang, L., Johnson, D. and Lin, Y., 2021. Using EEG to detect driving fatigue based on common spatial pattern andsupport vector machine. Turkish Journal of Electrical Engineering and Computer Sciences, 29(3), pp.1429-1444. DOI:10.3906/elk-2008-83
  • Wang, L., Xiao, Y., Urman, R.D. and Lin, Y., 2020. Cold pressor pain assessment based on EEG power spectrum. SN Applied Sciences, 2, pp.1-8. https://doi.org/10.1007/s42452-020-03822-8
  • Y. Wang, Y. Shi, J. Du, Y. Lin, Q, Wang, 2020. A CNN-based personalized system for attention detection in wayfinding tasks. Advanced Engineering Informatics, Volume 46, October 2020, 101180, https://doi.org/10.1016/j.aei.2020.101180 
  • M.Yu, Y. Sun, B. Zhu, L. Zhu, Y. Lin*, X. Tang, Y. Guo, S. Gang, M. Dong, 2020. Diverse Frequency Band-based Convolutional Neural Networks for Tonic Cold Pain Assessment Using EEG, 2020. Neurocomputing, Volume 378, Pages 270-282.    https://doi.org/10.1016/j.neucom.2019.10.023
  • J. Du, Q. Zhu, Y. Shi, Q. Wang, Y. Lin, D. Zhao, 2020. Cognition-Digital Twins (Cog-DT) for Personalized Information Systems of Smart Cities – A Proof of Concept, ASCE Journal of Management in Engineering, Volume 36 Issue 2 – March 2020.  https://doi.org/10.1061/(ASCE)ME.1943-5479.0000740
  • P. Wan, X. Ma, C. Wu, Y. Lin, 2019. Driving Anger States Detection Based on Incremental Association Markov Blanket and Least Square Support Vector Machine, Discrete Dynamics in Nature and Society, 2019 Discrete Dynamics in Nature and Society, Volume 2019, Article ID 2745381. 17 pages. https://doi.org/10.1155/2019/2745381
  • B. Guo, X. Zhou, Y. Lin, L. Q. Zhu, and Z. Yu, 2018. Novel Registration and Fusion Algorithm for Multimodal Railway Images with Different Field of Views, Journal of Advanced Transportation, Special Issue on “Sensors in Intelligent Transportation Systems”, Volume 2018, Article ID 7836169, 16 pages, https://www.hindawi.com/journals/jat/aip/7836169/
  • D. Schmidt, Y. Lin*, 2018. Development towards simple fabrication steps for flexible optoelectronic films, Thin Solid Films, Volume 665, Pages 59-67, https://doi.org/10.1016/j.tsf.2018.09.001
  • B. Liang and Y. Lin*, 2018. Using Physiological and Behavioral Measurements in a Picture-Based Road Hazard Perception Experiment to Classify Risky and Safe Drivers, Transportation Research Part F: Psychology and Behaviour, 58 (2018), 93-105. https://www.sciencedirect.com/science/article/pii/S1369847816304284
  • J. Zhou, XF Yao, Y. Lin, F. T.S Chan, Y. Li, An adaptive multi-population differential artificial bee colony algorithm for many-objective service composition in cloud manufacturing, Information Sciences, Vol. 456, August 2018, Pages 50-82, https://doi.org/10.1016/j.ins.2018.05.009.
  • M. Yu, X. Tang, Y. Lin, D. Schmidt, and X. Wang. 2018. An Eye Detection Method Based on Convolutional Neural Networks and Support Vector Machines. Intelligent Data Analysis, 22(2), 2018. DOI: 10.3233/IDA-173361
  • X. Yao, J. Zhou, Y. Lin, Y. Li, H. Yu, Y. Liu, 2017. Smart Manufacturing Based on Cyber-Physical Systems and Beyond, Journal of Intelligent Manufacturing, 1-13, DOI 10.1007/s10845-017-1384-5
  • X. Wanyan, D. Zhuang, and Y. Lin*, X. Xiao, Jin-Woo Song 2018. Influence of mental workload on detecting information varieties revealed by mismatch negativity during flight simulation, International Journal of Industrial Ergonomics, Volume 64, March 2018, Pages 1–7, https://doi.org/10.1016/j.ergon.2017.08.004.
  • J. Xu, Y. Lin*, and D. Schmidt, 2017. Exploring the Influence of Simulated Road Environments on Cyclist Behavior, International Journal of Virtual Reality, 17(3):1526. https://doi.org/10.20870/IJVR.2017.17.3.2897
  • Y. Lin, 2017. Towards Intelligent Human-Machine Interactions – Human Assistance Systems (HAS), ASME Magazine Special Issue on Human-Machine Interactions. June 2017. https://doi.org/10.1115/1.2017-Jun-4
  • P. Wan, C. Wu, Y. Lin, X. Ma, 2017. An On-Road Experimental Study on Driving Anger Identification Model Based on Physiological Features by ROC Curve Analysis, IET Intelligent Transport Systems, 11(5), 290-298. DOI:  10.1049/iet-its.2016.0127
  • Y. Lin, J. Breugelmans, M. Iverson, D. Schmidt, 2017 ” An Adaptive Interface Design (AID) for enhanced computer accessibility and rehabilitation”, International Journal of Human Computer Studies, February 2017, Volume 98: 14–23.  https://doi.org/10.1016/j.ijhcs.2016.09.012
  • X. Yao, & Y. Lin, 2016. Emerging Manufacturing Paradigm Shifts for the Incoming Industrial Revolution, Journal of Intelligent Manufacturing., 85(5), 1665-1676, DOI:10.1007/s00170-015-8076-0.
  • P. Wan, C. Wu, Y. Lin, X. Ma, 2016. Optimal Threshold Determination for Discriminating Driving Anger Intensity Based on EEG Wavelet Features and ROC Curve Analysis. Journal of Information, 2016, Vol. 7, No. 52, 7030052.  https://doi.org/10.3390/info7030052
  • Y. Lin, 2016. i-DRIVE, Are We Ready? (Invited Paper), Journal of Automotive Safety and Energy, 7(1): 14-24, ISSN 1674-8484.
  • M. Yu, Y. Lin, X. Tang, J. Xu, D. Schmidt, X. Wang, Y. Lin, and Y. Guo, 2015. “An Easy Iris Center Detection Method for Eye Gaze Tracking System,” Journal of Eye Movement Research, 8(3):5, 1-20. https://doi.org/10.16910/jemr.8.3.5
  • M. Yu, Y. Lin*, J. Breugelmans, X. Wang, G. Gao, X. Tang, 2016 “A Spatial-Temporal Trajectory Clustering Algorithm for Eye Fixations Identification”, International Journal of Intelligent Data Analysis, 20(2):377-393. DOI: 10.3233/IDA-160810
  • M. Yu, Y. Lin, X. Wang, D. Schmidt, and Y. Wang, 2014. “Human-Robot Interaction Based on Gaze Gesture for the Drone Teleoperation”, Journal of eye movement research, 7(4), 1-14, 2014. https://doi.org/10.16910/jemr.7.4.4
  • S. Radhakrishnan, Y. Lin, A. Zeid, S. Kamarthi, “Finger-Based Multitouch Interface for Performing 3D CAD Operations”, International Journal of Human-Computer Studies, 71 (3), 261-275 (2013). https://doi.org/10.1016/j.ijhcs.2012.07.004
  • H. Cai and Y. Lin, “Coordinating Cognitive Assistances with Cognitive Engagement Control Approaches in Human-Machine Interactions”, IEEE Trans. On Systems, Man and Cybernetics Part A: Humans and Systems, 42(2), 286-294 (2012).  DOI: 10.1109/TSMCA.2011.2169953
  • A. Altaboli and Y. Lin, “Investigating Effects of Screen Layout Elements on Interface and Screen Design Aesthetics”, Advances in Human-Computer Interaction, Vol. 2011, Article ID 659758, 10 pages, DOI:10.1155/2011/659758 (2011)
  • Y. Lin, “A Natural Contact Sensor Paradigm for Non-intrusive and Real-time Sensing of Bio-signals in Human-Machine Interactions”, IEEE Sensors Journal, Special Issue on Cognitive Sensor Networks, 11(3), 522-529 (2011).  DOI: 10.1109/JSEN.2010.2041773
  • G. Yang, Y. Lin, and P. Bhattacharya, “A Driver Fatigue Recognition Model Based on Information Fusion and Dynamic Bayesian Network”, Information Sciences, 180, 1942-1954 (2010). https://doi.org/10.1016/j.ins.2010.01.011
  • L. Cheng, Z. G. Hou, M. Tan, Y. Lin, W. Zhang, 2010. Neural-network-based adaptive leader-following control for multiagent systems with uncertainties, IEEE Transactions on Neural Networks, vol. 21, issue 8, pp. 1351 – 1358.  DOI: 10.1109/TNN.2010.2050601
  • H. Cai, Y. Lin*, and B. Cheng, 2010. Mimicking Human Driving Behaviors Autonomous Vehicles in Realistic Traffic Flow Simulation, International Journal of Simulation and Process Modeling, Vol. 6, No. 2, pp. 126-136.
  • R. R. Mourant, Z. Yin, Y. Lin, and S. Kamarthi, 2010. Communications and Decisions of Autonomous Objects in Virtual Environments, International Journal of Virtual Reality, Vol. 9, No. 2, pp. 53-62.  DOI: https://doi.org/10.20870/IJVR.2010.9.2.2770
  • H. Leng and Y. Lin*, 2010. Design and Experimental Study of the CNT based Sensor Toward Measuring Blood Alcohol Concentration (BAC) with Short Response Delay, IEEE Sensors Journal, Vol. 10, No. 6, pp. 1091-1097.  DOI: 10.1109/JSEN.2010.2041774
  • G. Yu, Y. Lin, and S. Kamarthi, 2010. Wavelets-Based Feature Extraction for Texture Classification, Advanced Materials Research, Vols. 97-101, pp. 1273-1276.  doi:10.4028/www.scientific.net/AMR.97-101.1273
  • H. Leng and Y. Lin*, 2009. Development of an Innovative Deformation-based Tissue Softness Sensor. IEEE Sensors Journal, Vol. 9, No. 5, pp. 548-554. DOI: 10.1109/JSEN.2009.2016620
  • Y. Lin*, H. Leng, and R. R. Mourant, 2009. EEG Electrode Locations and their Signal Sensitivities in Driver Drowsiness Measurement. International Journal of Biomedical Soft Computing and Human Sciences, Special Issue:  Bio-sensors: Data Acquisition, Processing and Control, Vol. 14, Issue 2, pp. 95-101. DOI https://doi.org/10.24466/ijbschs.14.2_97
  • G. Yang and Y. Lin*, 2009. Using ECG bio-signal to quantify mental workload based on wavelet transform and competitive neural network, International Journal of Biomedical Soft Computing and Human Sciences, Special Issue:  Bio-sensors: Data Acquisition, Processing and Control. Vol. 14, Issue 2, pp. 17-25. DOI https://doi.org/10.24466/ijbschs.14.2_17
  • Y. Lin, W. J. Zhang, C. Wu, G. Yang, and J. Dy, 2009.  A fuzzy logics clustering approach to computing human attention allocation using eyegaze movement cueInternational Journal of Human-Computer Studies, Vol. 67, Issue 5, pp. 455-463. https://doi.org/10.1016/j.ijhcs.2008.12.005
  • Y. Lin* and H. Cai, 2009. A Novel Methodology for Building a Real Time Continuous Number Mental Workload Measure, Theoretic Issues in Ergonomics Sciences, Vol. 10, Issue 5, pp. 1-13.  https://doi.org/10.1080/14639220902836547
  • H. Cai and Y. Lin*, 2008. A Roadside ITS Data Bus Prototype for Future Intelligent Highway, IEEE Trans. on Intelligent Transportation Systems 9(2), 2008, pp. 344-348.
  • G. Yang, Y. Lin*, and P. Bhattacharya, 2008. Multi-Modality Inferring of Human Cognitive States Based on the Integration of Neuro-Fuzzy Network and Information Fusion Techniques, EURASIP Journal on Advances in Signal Processing, vol. 2008, Article ID 371621, 14 pages.  DOI: 10.1109/TITS.2008.922873
  • R. R. Mourant, N. Ahmad, B. K. Jaeger, and Y. Lin, 2007. “Optic flow and geometric field of view in a driving simulator display.”   Displays 28 (2007), pp. 145-149. https://doi.org/10.1016/j.displa.2007.04.011
  • Y. Lin*, H. Leng, G. Yang, and H. Cai, 2007. An Intelligent Noninvasive Sensor for Driver Pulse Wave Measurement, IEEE Sensors Journal, Special Issue on Intelligent Sensors, Vol. 7, No. 5, pp. 790-799.  DOI: 10.1109/JSEN.2007.894923
  • Y. Lin* and W. J. Zhang, 2006. Integrated Design of Function, Usability, and Aesthetics for Automobile Interiors: State-of-the-Art, Challenges, and Solutions, Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering, Vol. 220, Issue 8, pp. 697-708.  https://doi.org/10.1243/09596518JSCE231
  • Y. Lin, W. J. Zhang, R. J. Koubek, and R. R. Mourant, 2006. On Integration of Interface Design Methods: Can Debates be Resolved? Interacting with Computers, Vol. 18, Issue 4, pp. 709-722.  https://doi.org/10.1016/j.intcom.2005.11.008
  • Y. Lin, P. Tang, W. J. Zhang, and Q. Yu, 2005. Artificial Neural Network Modeling on Driver Handling Behavior in the Driver-Vehicle-Environment System, International Journal of Vehicle Design, Vol. 37, Issue 1, pp. 24-45.  DOI: 10.1504/IJVD.2005.006087
  • Y. Lin and W. J. Zhang, 2004. Towards a Novel Interface Design Framework: Function-Behavior-State Paradigm, International Journal of Human-Computer Studies, Vol. 61, Issue 3, pp. 259-297.  https://doi.org/10.1016/j.ijhcs.2003.11.008
  • Y. Lin, W. J. Zhang, and R. J. Koubek, 2004. Effective Attention Allocation Behavior and its Measurement: A Preliminary Study, Interacting with Computers, Vol. 16, Issue 6, pp. 1195-1210.  https://doi.org/10.1016/j.intcom.2004.08.006
  • Y. Lin and W. J. Zhang, 2004. Function-Behavior-State Approach to Designing Human-Machine Interface for Nuclear Power Plant Operators, IEEE Trans. on Nuclear Science, Vol. 52, Issue 1, pp. 430-439.  DOI: 10.1109/TNS.2004.842728
  • Y. Lin, W. J. Zhang, and L. G. Watson, 2003. Using Eye Movement Parameters for Evaluating Human-Machine Interface Frameworks under Normal Control Operation and Fault Detection Situation. International Journal of Human-Computer Studies, Vol. 59, Issue 6, pp. 837-873.  https://doi.org/10.1016/S1071-5819(03)00122-8

                      Book Chapters:

  • A. Altaboli, and Y. Lin, 2012. Chapter 57: Effects of Unity of Form on Visual Aesthetics of Website Design. In Y. G. Ji (Ed.) Advances in Affective and Pleasurable Design, pp. 524-532. Boca Raton, FL: CRC Press.  https://doi.org/10.1177/1071181312561152
  • Y. Lin, and D. Schmidt, “Wearable Sensing for Bio-feedback in Human Robot Interaction”. In: Subhas Chandra Mukhopadhyay (Ed.), Wearable Electronics Sensors, pp. 321-332 (2015) (Invited Chapter).  DOI https://doi.org/10.1007/978-3-319-18191-2_14
  • Y. Lin and D. Schmidt, “Biosensor and Human Behavior Measurement”, Chapter 9. In: Kris Iniewski (Ed.), Sensors: Imaging, Photonics and Sensing Platforms, pp. 229-242 (2011) (Invited Chapter).
  • Y. Lin, “Affective Driving”, Chapter 14. In: Shuichi Fukuda (Ed.), Emotional Engineering: Service Development, pp. 263-274 (2010) (Invited Chapter).

Conference papers and proceedings:

  • Zhu, W., Liu, C., Yu, H., Guo, Y., Xiao, Y., & Lin, Y., 2023. COMPASS App: A Patient-centered Physiological based Pain Assessment System. Proceedings of the Human Factors and Ergonomics Society Annual Meeting, 0(0). https://doi.org/10.1177/21695067231192200
  • Zhu, W., Kucyi, A., Kramer, A.F. and Lin, Y., 2022, November. Multimodal Physiological Assessment of the Task-related Attentional States in a VR Driving Environment. In 2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-5). IEEE. DOI:10.1109/M2VIP55626.2022.10041103
  • Zheng, J. and Lin, Y., 2022, November. An Objective Pain Measurement Machine Learning Model through Facial Expressions and Physiological Signals. In 2022 28th International Conference on Mechatronics and Machine Vision in Practice (M2VIP) (pp. 1-4). IEEE. DOI:10.1109/M2VIP55626.2022.10041105
  • M. Fan, Z. Yu, C. A. Chou, S. C. Yen, Y. Lin, Detecting Physiological Changes in Response to Sudden Events in Driving: A Nonlinear Dynamics Approach, 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM) (AIM 2020), Boston, July 2020.
  • J. Du, Q. Wang, Y. Lin, and C. Ahn (2019). “Personalize Wayfinding Information for Fire Responders based on Virtual Reality Training Data.” In Proceedings of the 52nd Hawaii International Conference on System Sciences. 2019. https://scholarspace.manoa.hawaii.edu/handle/10125/59638
  • Q. Zhu, Q., J. Du, Y. Shi, Q. Wang, and Y. Lin (2019). “Participatory and Evolutionary Fire Simulation via a Sensitive Control of Key Scenery Parameters”. The 2019 ASCE International Conference on Computing in Civil Engineering (i3CE).  https://ascelibrary.org/doi/abs/10.1061/9780784482421.014
  • Y. Lin, Y. Xiao, L. Wang, R. Urman, R. Dutton, M. Ramsay, 2018. An Objective Method to Pain Measurement based on Physiological Signals, the HFES 2018 International Symposium on Human Factors and Ergonomics in Health Care, Patient Safety Research and Initiatives Track, March 2018.  https://journals.sagepub.com/doi/abs/10.1177/2327857918071056
  • J. Xu and Y. Lin, Impact of Distracted Drivers on Individual and Group Behavior of Following Vehicles – A Networked Multi-Driver Simulator Study, The 97th Annual Meeting of Transportation Research Board, Jan. 8 2018. https://doi.org/10.1177/0361198118794712
  • P. Wan, C. Wu, Y. Lin, X. Ma, “A Recognition Model of Driving Anger Based on Physiological Features by ROC Curve Analysis”, The 95th Annual Meeting of Transportation Research Board, January 10-14, Washington, D.C. (2016). ID. 16-5500. https://trid.trb.org/view/1394027
  • J. Xu, Y. Lin, “A Driving Simulation Experiment for Detecting Elderly and Teenager Drivers Behavior to Hazardous Events”, SAE China Vehicle Safety Conference, August 24-28, Suzhou, China (2015).
  • A. Samareh, J. Xu, J. Beneyan, Y. Lin, “Study the Headway Distance and Physiological Responses of Driver Distraction – An Experiment on Networked Multi-Drivers Simulator”, Human Factors and Ergonomics Society’s 59th Annual Meeting, Oct. 26-30, San Diego, California (2015).  https://doi.org/10.1177/1541931215591393
  • D. Schmidt, Y. Lin, “Quantum Dot Sensing: Nano-Scale Photodiode Structures as Functional Devices to Measure Human Responses”, Joint 6th International Conference on Advances in Experimental Structural Engineering (6AESE) and 11th International Workshop on Advanced Smart Materials and Smart Structure Technology (11ANCRiSST), August 1-2, Urbana, Illinois (2015).
  • B. Liang and Y. Lin, “Effects of Automobile Interior Color on Driving Performance Using Physiological Measurements”, The 15th China Conference of Automotive Safety Technology, August 22-24, Wuhu, Anhui, China (2012).  https://www.airitilibrary.com/Publication/alDetailedMesh?docid=7765063
  • D. Schmidt and Y. Lin, “Design of a Flexible MEMS Pressure and Temperature Sensing Film”, The 6th International Workshop on Advanced Smart Materials and Smart Structures Technologies (ANCRiSST 2011), July 25-26, Dalian, China (2011).
  • J. Breugelmans, Y. Lin, “Biosensor Based Video Game Control for Physically Disabled Gamers”, 2011 ASME Dynamic Systems and Control Conference (DSCC), Oct. 31-Nov. 2, 2011, Washington DC (2011). Paper ID DSC11-6000.
  • A. Altabol and Y. Lin, “Objective and Subjective Measures of Visual Aesthetics of Interface Design: The Two Sides of the Coin”, HCI International 2011, Orlando, USA, July 9 – 14, (2011).  https://doi.org/10.1007/978-3-642-21602-2_4
  • H. Cai and Y. Lin, “Tuning Trust Using Cognitive Cues for Better Human-Machine Collaboration”, The 54th Human Factors and Ergonomics Society Annual Meeting 2010, San Francisco, California, September 27-October 1, (2010). https://doi.org/10.1177/154193121005402816
  • H. Leng and Y. Lin, “Design and fabrication of a sensor integrated MEMS/nano-skin system for human physiological response measurement”, Conference on Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, part of the SPIE Symposium on SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring, March 7-11, (2010), San Diego, United States. Also appear in: M. Tomizuka, Sensors and Smart Structures Technologies for Civil, Mechanical, and Aerospace Systems, Proceedings of the SPIE, Vol. 7647, pp. 76471V-76471V-12.  https://doi.org/10.1117/12.846934

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