Dr. Jin-Song Pei Profile

Dr. Jin-Song Pei

Assistant Professor at Univ of Oklahoma

SPIE Involvement:

Author

Proceedings Article | 15 April 2011 Paper

Initial design and validation of packaging directional antennas for structural health and road condition monitoring

Rami Akkari, Jin-Song Pei, Tamer Ibrahim, Musharraf Zaman, Peng Tang, Lin Tang, Marc Breidy, Keith Hurdelbrink, II

Proceedings Volume 7981, 79813Z (2011) https://doi.org/10.1117/12.880679

KEYWORDS: Antennas, Sensors, Wireless communications, Roads, Packaging, Bridges, Absorption, Numerical simulations, Civil engineering, Electromagnetism

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Proceedings Article | 14 April 2011 Paper

Distributed neural computations for embedded sensor networks

Courtney Peckens, Jerome Lynch, Jin-Song Pei

Proceedings Volume 7981, 79811U (2011) https://doi.org/10.1117/12.880057

KEYWORDS: Neural networks, Sensors, Sensor networks, Telecommunications, Data processing, Structural health monitoring, Evolutionary algorithms, Wireless communications, Systems modeling, Complex systems

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Proceedings Article | 13 April 2011 Paper

Embedding empirical mode decomposition within an FPGA-based design: challenges and progress

Jonathan Jones, Jin-Song Pei, Joseph Wright

Proceedings Volume 7981, 798107 (2011) https://doi.org/10.1117/12.880695

KEYWORDS: Field programmable gate arrays, Structural health monitoring, Optimization (mathematics), Signal processing, Spectrum analysis, Algorithm development, Bismuth, Electrochemical etching, Applied sciences, Time metrology

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Proceedings Article | 1 April 2010 Paper

Embedded EMD algorithm within an FPGA-based design to classify nonlinear SDOF systems

Jonathan Jones, Jin-Song Pei, Joseph Wright, Monte Tull

Proceedings Volume 7647, 76470E (2010) https://doi.org/10.1117/12.847889

KEYWORDS: Field programmable gate arrays, Structural health monitoring, Complex systems, Embedded systems, Signal processing, Software development, Computer programming, Data processing, Computing systems, MATLAB

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Proceedings Article | 21 April 2008 Paper

Mapping some functions and four arithmetic operations to multilayer feedforward neural networks

Jin-Song Pei, Eric Mai, Joseph Wright

Proceedings Volume 6935, 693512 (2008) https://doi.org/10.1117/12.784993

KEYWORDS: Neural networks, Prototyping, Mechanics, Systems modeling, Complex systems, Matrix multiplication, Algorithm development, Applied sciences, Computer science, Computer engineering

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Proceedings Article | 8 April 2008 Paper

Embedded algorithms within an FPGA-based system to process nonlinear time series data

Jonathan Jones, Jin-Song Pei, Monte Tull

Proceedings Volume 6932, 69323I (2008) https://doi.org/10.1117/12.776585

KEYWORDS: Field programmable gate arrays, MATLAB, Algorithm development, Finite impulse response filters, Complex systems, Data processing, Optical filters, Image classification, Signal analyzers, Linear filtering

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This paper presents some preliminary results of an ongoing project. A pattern classification algorithm is being developed and embedded into a Field-Programmable Gate Array (FPGA) and microprocessor-based data processing core in this project. The goal is to enable and optimize the functionality of onboard data processing of nonlinear, nonstationary data for smart wireless sensing in structural health monitoring. Compared with traditional microprocessor-based systems, fast growing FPGA technology offers a more powerful, efficient, and flexible hardware platform including on-site (field-programmable) reconfiguration capability of hardware. An existing nonlinear identification algorithm is used as the baseline in this study. The implementation within a hardware-based system is presented in this paper, detailing the design requirements, validation, tradeoffs, optimization, and challenges in embedding this algorithm. An off-the-shelf high-level abstraction tool along with the Matlab/Simulink environment is utilized to program the FPGA, rather than coding the hardware description language (HDL) manually. The implementation is validated by comparing the simulation results with those from Matlab. In particular, the Hilbert Transform is embedded into the FPGA hardware and applied to the baseline algorithm as the centerpiece in processing nonlinear time histories and extracting instantaneous features of nonstationary dynamic data. The selection of proper numerical methods for the hardware execution of the selected identification algorithm and consideration of the fixed-point representation are elaborated. Other challenges include the issues of the timing in the hardware execution cycle of the design, resource consumption, approximation accuracy, and user flexibility of input data types limited by the simplicity of this preliminary design. Future work includes making an FPGA and microprocessor operate together to embed a further developed algorithm that yields better computational and power efficiency.

Proceedings Article | 19 April 2007 Paper

Monitoring pavement condition using Smart Dust under surge time synchronization

Jin-Song Pei, Richard Ivey, Hungjr Lin, Aaron Landrum, Colby Sandburg, Timothy King, Musharraf Zaman, Hazem Refai, Eric Mai, Olatunda Oshlake, Adam Heriba, Erin Hurt

Proceedings Volume 6529, 65292W (2007) https://doi.org/10.1117/12.715969

KEYWORDS: Roads, Sensor networks, Sensors, Antennas, Fourier transforms, Infrared sensors, Aluminum, Polarization, Packaging, Error analysis

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Proceedings Article | 10 April 2007 Paper

A heuristic neural network initialization scheme for modeling nonlinear functions in engineering mechanics: continuous development

Jin-Song Pei, Eric Mai

Proceedings Volume 6529, 65291T (2007) https://doi.org/10.1117/12.715956

KEYWORDS: Neural networks, Prototyping, Mechanics, Systems modeling, Mathematical modeling, Evolutionary algorithms, Damage detection, Physics, Mathematics, Nonlinear dynamics

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Proceedings Article | 11 April 2006 Paper

An application of smart dust for pavement condition monitoring

Nadim Ferzli, Richard Ivey, Timothy King, Colby Sandburg, Jin-Song Pei, Musharraf Zaman, Hazem Refai, Hung Jr. Lin, Aaron Landrum, Rory Victor

Proceedings Volume 6174, 617433 (2006) https://doi.org/10.1117/12.658919

KEYWORDS: Sensors, Infrared sensors, Antennas, Sensor networks, Mica, Roads, Infrared radiation, Fourier transforms, Environmental sensing, Detection and tracking algorithms

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Proceedings Article | 11 April 2006 Paper

A heuristic neural network initialization scheme for modeling nonlinear functions in engineering mechanics

Jin-Song Pei, Eric Mai

Proceedings Volume 6174, 61741F (2006) https://doi.org/10.1117/12.658916

KEYWORDS: Neural networks, Prototyping, Mechanics, Mathematical modeling, Mathematics, MATLAB, Physics, Evolutionary algorithms, Detection and tracking algorithms, Data modeling

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Proceedings Article | 28 March 2006 Paper

A low-cost off-the-shelf FGPA-based smart wireless sensing unit

Chetan Kapoor, Troy Graves-Abe, Jin-Song Pei

Proceedings Volume 6177, 61770D (2006) https://doi.org/10.1117/12.658923

KEYWORDS: Field programmable gate arrays, Data processing, Platinum, Algorithm development, Digital signal processing, Sensors, Detection and tracking algorithms, Computer simulations, MATLAB, Structural health monitoring

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Proceedings Article | 17 May 2005 Paper

A new approach to designing multilayer feedforward neural networks for modeling nonlinear restoring forces

Jin-Song Pei, Andrew Smyth

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.600301

KEYWORDS: Neural networks, Data modeling, Network architectures, Nonlinear dynamics, Systems modeling, Structural health monitoring, Damage detection, Numerical simulations, System identification, Mechanics

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Proceedings Article | 17 May 2005 Paper

Development of an off-the-shelf field programmable gate array-based wireless sensing unit for structural health monitoring

Chetan Kapoor, Troy Graves-Abe, Jin-Song Pei

Proceedings Volume 5765, (2005) https://doi.org/10.1117/12.600348

KEYWORDS: Field programmable gate arrays, Sensors, Analog electronics, Logic devices, Structural health monitoring, Data communications, Digital signal processing, Logic, Civil engineering, Data processing

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Proceedings Article | 9 May 2005 Paper

Investigation of data quality in a wireless sensing unit composed of off-the-shelf components

Jin-Song Pei, Chetan Kapoor, Troy Graves-Abe, Yohanes Sugeng, Nadim Ferzli, Jerome Lynch

Proceedings Volume 5768, (2005) https://doi.org/10.1117/12.600330

KEYWORDS: Sensors, Analog electronics, Signal attenuation, Buildings, Microcontrollers, Data transmission, Data acquisition, Digital signal processing, Data conversion, Sensing systems

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Proceedings Article | 18 August 2003 Paper

More transparent neural network approach for modeling nonlinear hysteretic systems

Jin-Song Pei, Andrew Smyth

Proceedings Volume 5057, (2003) https://doi.org/10.1117/12.482697

KEYWORDS: Neural networks, Systems modeling, Complex systems, System identification, Dynamical systems, Structural health monitoring, Damage detection, Mechanics, Network architectures, Civil engineering

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Showing 5 of 15 publications

Conference Committee Involvement (5)