Dr. Jingyang Lu Profile

Dr. Jingyang Lu

Research and Development at Intelligent Fusion Technology Inc

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Publications (6)

Proceedings Article | 29 July 2019 Presentation + Paper

Adaptive markov inference game optimization (AMIGO) for rapid Discovery of satellite behaviors

Dan Shen, Carolyn Sheaff, Jingyang Lu, Genshe Chen, Erik Blasch, Khanh Pham

Proceedings Volume 11017, 1101708 (2019) https://doi.org/10.1117/12.2520755

KEYWORDS: Satellites, Sensors, Data modeling, Machine learning, Earth observing sensors, Neurons, Data fusion, Stochastic processes, Neural networks, Situational awareness sensors

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Proceedings Article | 29 July 2019 Presentation + Paper

An effective satellite transponder linearization method using a physics-based predistorter

Lun Li, John Nguyen, Jingyang Lu, Dan Shen, Xin Tian, Genshe Chen, Khanh Pham

Proceedings Volume 11017, 110170G (2019) https://doi.org/10.1117/12.2520482

KEYWORDS: Transponders, Satellites, Modulation, Data modeling, Performance modeling, Amplifiers, Machine learning, Telecommunications, Interference (communication), Model-based design

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Proceedings Article | 29 July 2019 Presentation + Paper

Deep learning based automatic signal modulation classification

Jingyang Lu, Yi Li, Genshe Chen, Dan Shen, Xin Tian, Khanh Pham

Proceedings Volume 11017, 110170M (2019) https://doi.org/10.1117/12.2520544

KEYWORDS: Modulation, Signal processing, Neural networks, Signal generators, Machine learning, Cognitive modeling, Modulators, Neurons, Data modeling, Convolution

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Proceedings Article | 2 May 2018 Presentation + Paper

Markov logic network based complex event detection under uncertainty

Jingyang Lu, Bin Jia, Genshe Chen, Hua-mei Chen, Nichole Sullivan, Khanh Pham, Erik Blasch

Proceedings Volume 10641, 106410C (2018) https://doi.org/10.1117/12.2305206

KEYWORDS: Logic, Sensors, Einsteinium, Situational awareness sensors, Chemical species, Databases, Information fusion, Data fusion, Visual process modeling, Lutetium

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Proceedings Article | 2 May 2018 Presentation + Paper

Intelligent path loss prediction engine design using machine learning in the urban outdoor environment

Ruichen Wang, Jingyang Lu, Yiran Xu, Dan Shen, Genshe Chen, Khanh Pham, Erik Blasch

Proceedings Volume 10641, 106410J (2018) https://doi.org/10.1117/12.2305204

KEYWORDS: Machine learning, Transmitters, Data modeling, Radio propagation, Receivers, Feature selection, Signal processing, Antennas, Non-line-of-sight propagation

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Proceedings Article | 5 May 2017 Presentation + Paper

Machine learning based Intelligent cognitive network using fog computing

Jingyang Lu, Lun Li, Genshe Chen, Dan Shen, Khanh Pham, Erik Blasch

Proceedings Volume 10196, 101960G (2017) https://doi.org/10.1117/12.2266563

KEYWORDS: Fiber optic gyroscopes, Clouds, Signal detection, Signal processing, Telecommunications, Sensing systems, Cognitive modeling, Feature extraction, Computing systems, Machine learning

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Showing 5 of 6 publications

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