Reconfigurable Ultrasonic System-on-Chip Hardware (RUSH) for Ultrasonic Non-destructive Testing

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RUSH is designed to facilitate the development and implementation of ultrasonic signal processing algorithms with embedded software and reconfigurable hardware. It provides the opportunity to explore the full design space including software only, hardware only, and hardware/software co-design architectures. Multiple case studies are investigated including real-time ultrasonic flaw detection, signal decomposition and parameter estimation. RUSH includes a Linux based operating system and Xilinx FPGA fabric on the ZYNQ SoC.

Publications:
  • Architecture of an Ultrasonic Experimental Platform for Information Transmission Through Solids
    B. Wang, J. Saniie, S. Bakhtiari, A. Heifetz
    2017 IEEE Ultrasonics Symposium - LINK (in proceedings)
  • Ultrasonic Flaw Detection based on Temporal and Spectral Signals Applied to Neural Network
    B. Wang, J. Saniie
    2017 IEEE Ultrasonics Symposium - LINK (in proceedings)
  • Reconfigurable Ultrasonic Smart Sensor Platform for Nondestructive Evaluation and Imaging Applications
    J. Saniie, E. Oruklu, S. Gilliland, S. Aslan
    Smart Sensors and Microsystems for Industrial Appliactions 2nd Edition, Woodhead Publishing Limited - LINK (In print)
  • Ultrasonic Target Echo Detection using Neural Network
    B. Wang, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)
  • Performance Analysis of System-on-Chip Architectures for Ultrasonic Data Compression
    B. Wang, P. Govindan, J. Saniie
    2016 IEEE Ultrasonics Symposium - LINK
  • Ultrasonic Signal Acquisition and Processing Platform based on Zynq SoC
    B. Wang, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Architecture of the Reconfigurable Ultrasonic System-on-Chip Hardware Platform
    S. Gilliland, P. Govindan, J. Saniie
    IET Circuits, Devices and Systems - LINK
  • Reconfigurable and Programmable System-on-Chip Hardware Platform for Real-time Ultrasonic Testing Applications
    P. Govindan, B. Wang, P. Wu, I. Palkov, V. Vasudevan, J. Saniie
    2015 IEEE International Ultrasonics Symposium - LINK
  • Reconfigurable Ultrasonic Testing System Development Using Programmable Analog Front-End and Reconfigurable System-on-Chip Hardware
    P. Govindan, V. Vasudevan, T. Gonnot, J. Saniie
    Circuits and Systems - LINK
  • Design and Evaluation of Reconfigurable Ultrasonic Testing System
    V. Vasudevan, B. Wang, P. Govindan, J. Saniie
    2015 IEEE International Conference on Electro/Information Technology - LINK
  • Acceleration of Ultrasonic Data Compression Using OpenCL on GPU
    B. Wang, P. Govindan, T. Gonnot, J. Saniie
    2015 IEEE International Conference on Electro/Information Technology - LINK
  • Multidimensional Representation of Ultrasonic Data Processed by Reconfigurable Ultrasonic System-on-Chip Using OpenCL High-Level Synthesis
    S. Gilliland, C. Boulet, T. Gonnot, J. Saniie
    2014 IEEE International Ultrasonics Symposium - LINK
  • Platform Independent GUI for Reconfigurable Ultrasonic System-on-Chip Hardware
    C. Boulet, E. Rovira, S. Gilliland, T. Gonnot, J. Saniie
    2014 IEEE International Conference on Electro/Information Technology - LINK
  • HW/SW Co-design for Reconfigurable Ultrasonic System-on-Chip Platform
    P. Govindan, S. Gilliland, T. Gonnot, J. Saniie
    2013 IEEE International Conference on Electro/Information Technology - LINK
  • Performance Analysis of Reconfigurable Ultrasonic System-on-Chip Hardware Platform
    P. Govindan, S. Gilliland, A. Kasaeifard, T. Gonnot, J. Saniie
    2013 IEEE International Instrumentation and Measurement Technology Conference - LINK
  • Reconfigurable Ultrasonic System-on-Chip Hardware (RUSH) Platform for Real-Time Ultrasonic Imaging Applications
    P. Govindan, S. Gilliland, T. Gonnot, J. Saniie
    2012 IEEE International Ultrasonics Symposium - LINK
  • Linux Based Reconfigurable Platform for High Speed Ultrasonic Imaging
    S. Gilliland, J. Saniie, S. Aslan
    IEEE 55th International Midwest Symposium in Circuits and Systems - LINK

IoT based Smart Mobile Sensing System using Wireless Sensor Network and Home Automation System

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This research introduces a system architecture for a mobile user centered real-time monitoring system which deploys different sensors to determine user activities, medical conditions, and the cause of an emergency event. This system combines and analyzes sensor data to produce user’s detailed health information in real-time. A central computational node with data analyzing capability is used for sensor data integration and analysis. In addition to medical sensors, surrounding environmental sensors are also utilized to enhance the sensor data interpretation and to improve medical diagnosis. This system also includes the capability for assessing user’s posture and fall detection to provide on-demand and immediate care. This system is highly adaptable to the Internet of Things (IoT) standards, where significantly increasing anticipation over its social impact, where it can assist populations in rural and distant areas for healthcare, day-to-day activity monitoring, and prevention against hazardous conditions for workers. Adapting the IoT system is also explored by introducing a protocol standard to improve data transmission efficiency and to enable cross-platform compatibility of wireless devices. A study on data security issues and assessment on sensor data has been also explored by implementing a proposed security scheme to each major component within the real-time mobile monitoring system. Lastly, a concept of Quality-of-Service (QoS) for mobile monitoring system using a wireless sensor network has been investigated to provide a solution to prioritize sensor data transmissions based on the results obtained from the sensor data assessment application.

Publications:
  • Design Architecture for Patient Centered Real-time Mobile Health Monitoring System
    W.-J. Yi, T. Gonnot, J. Saniie
    Smart Sensors and Deep Learning Solutions for Future Intelligent Systems: New Requirements for Software to Silicon, Springer, 2017 - LINK (In print)
  • Architecture of a Protocol Standard for Cohesive Home Automation Device Interactions
    T. Gonnot, W.-J. Yi, J. Saniie
    Smart Sensors and Deep Learning Solutions for Future Intelligent Systems: New Requirements for Software to Silicon, Springer, 2017 - LINK (In print)
  • Patient Centered Real-Time Mobile Health Monitoring System
    W.-J. Yi, J. Saniie
    E-Health Telecommunication Systems and Networks - LINK
  • Home Automation Device Protocol (HADP): A Protocol Standard for Unified Device Interactions
    T. Gonnot, W.-J. Yi, E. Monsef, J. Saniie
    Advances in Internet of Things - LINK
  • 6LoWPAN-enabled Fall Detection and Health Monitoring System with Android Smartphone
    W.-J. Yi, O. Sarkar, T. Gonnot, E. Monsef, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Architecture and Design Flow of Telehealth Monitoring System using STM32 Platform
    S. Kaki, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Managing Quality of Service in Wireless Body Area Networks using CoAP
    E. Monsef, M. Gonzalez, W.-J. Yi, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Robust Framework for 6LoWPAN-based Body Sensor Network Interfacing with Smartphone
    T. Gonnot, W.-J. Yi, E. Monsef, J. Saniie
    2015 IEEE International Conference on Electro/Information Technology - LINK
  • Design Flow of Wearable Heart Monitoring and Fall Detection System using Wireless Intelligent Personal Communication Node
    W.-J. Yi, O. Sarkar, S. Mathavan, J. Saniie
    2015 IEEE International Conference on Electro/Information Technology - LINK
  • Sensor Network for Extended Health Monitoring of Hospital Patients
    T. Gonnot, W.-J. Yi, E. Monsef, P. Govindan, J. Saniie
    2014 IEEE Healthcare Innovation Point-Of-Care Technologies Conference - LINK
  • An Application-Agnostic Quality of Service Framework For Wireless Body Area Networks
    E. Monsef, T. Gonnot, W.-J. Yi, J. Saniie
    2014 IEEE Healthcare Innovation Point-Of-Care Technologies Conference - LINK
  • Wearable Sensor Data Fusion for Remote Health Assessment and Fall Detection
    W.-J. Yi, O. Sarkar, S. Mathavan, J. Saniie
    2014 IEEE International Conference on Electro/Information Technology - LINK
  • User Defined Interactions between Devices on a 6LoWPAN Network for Home Automation
    T. Gonnot, J. Saniie
    2014 IEEE International Technology Management Conference - LINK
  • Design Flow of a Wearable System for Body Posture Assessment and Fall Detection with Android Smartphone
    W.-J. Yi, J. Saniie
    2014 IEEE International Technology Management Conference - LINK
  • Wireless Sensor Network for Structural Health Monitoring using System-on-Chip with Android Smartphone
    W.-J. Yi, S. Gilliland, J. Saniie
    IEEE SENSORS 2013 - LINK
  • System Architecture and Design Flow of Smart Mobile Sensing Systems
    W.-J. Yi, J. Saniie
    Journal of Sensor Technology - LINK
  • Mobile Ultrasonic Signal Processing System using Android Smartphone
    W.-J. Yi, S. Gilliland, J. Saniie
    IEEE 56th Midwest Symposium on Circuits and Systems - LINK
  • Smart Mobile System for Body Sensor Network
    W.-J. Yi, J. Saniie
    2013 IEEE International Conference on Electro/Information Technology - LINK
  • System Architecture of Intelligent Personal Communication Node for Body Sensor Network
    W.-J. Yi, S. Niu, T. Gonnot, J. Saniie
    2013 IEEE International Instrumentation and Measurement Technology Conference - LINK
  • Mobile Sensor Data Collector using Android Smartphone
    W.-J. Yi, W. Jia, J. Saniie
    IEEE 55th International Midwest Symposium in Circuits and Systems - LINK

Machine Vision and Assistive System for Visually Impaired People
Helping people with visual difficulties to navigate is challenging. Advances made with new technologies have boosted the development of systems to assist the daily lives of the visually impaired people. These systems intend to help by providing their user with some critical information about their environment using senses they can still use. Different approaches of assisting visually impaired people are investigated in this research, including a method to convey images to visually impaired people, a combination of computer vision and Internet connectivity on an Android smartphone, and an indoor positioning system based on AR (augmented reality) markers and computer vision techniques. The challenge of this project is to create a complete navigation system that could be used for any kind of vehicles, including drone, and also helping visually impaired. This implies the necessity to detect the different obstacles surrounding the system, in that case using only cameras. In the case of the drone navigation, applications such as inspection drones or surveillance drones requires the possibility to detect and analyse key targets in an environment.

Publications:
  • Image to Audio Frequencies Modulation for Visually Impaired People
    T. Gonnot, M. Mikuta, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)
  • Indoor Navigation for Visually Impaired using AR Markers
    G. Yang, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)
  • Computer Vision and Text Recognition for Assisting Visually Impaired People using Android Smartphone
    H. Jiang, T. Gonnot, W.-J. Yi, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)
  • Integrated Machine Vision and Communication System for Blind Navigation and Guidance
    T. Gonnot, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Image Sensing System for Navigating Visually Impaired People
    T. Gonnot, J. Saniie
    IEEE SENSORS 2013 - LINK
  • Embedded and Modular Video Processing Design Platform
    T. Gonnot, J. Saniie
    2014 IEEE International Conference on Electro/Information Technology - LINK
  • Design Flow for Complex Scene Visual Object Tracking and Avoidance System
    T. Gonnot, J. Saniie
    2013 IEEE International Instrumentation and Measurement Technology Conference - LINK

FPGA Design of Software Defined Radio
Software-defined radio (SDR) is a radio communication technology which is based on software defined wireless communication protocols instead of hardwired implementations. The goal of this project is to implement SDR on an FPGA board and switch modulation techniques and encoding in real time. Here, FPGA platform provides highest flexibility and better signal processing support when compared to general purpose processor (GPP) or digital signal processor (DSP). One can embed this design into applications like cellular phone systems, satellite communication, GPS receivers and also military grade communication radios.

Publications:
  • End-to-End Wireless Digital Communication System of FPGA Based Software Defined Radio
    T. Dang, T. Gonnot, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)

Ultrasonic RF Signal Analysis and Data Compression

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Ultrasonic systems are widely used in industrial and medical imaging applications for diagnosis, nondestructive evaluation (NDE), defect recognition and classification. These applications require large volumes of data to be processed in real-time. Therefore, it is essential that the signal has to be compressed without degrading the signal quality or inadvertently damaging desirable signal features. Compression of the signal helps to reduce the computational time as well as for rapid transmission of data to remote locations. High signal fidelity is significant in many of the practical applications like ultrasound medical imaging or nondestructive testing. The objective of this study is to analyze various compression methods for ultrasonic applications, design and implement 3D compression algorithms and evaluate the degree of compression of ultrasonic data as a function of data integrity.

Publications:
  • Processing Algorithms for Three-Dimensional Data Compression of Ultrasonic Radio Frequency Signals
    P. Govindan, J. Saniie
    IET Signal Processing - LINK
  • Ultrasonic Chirplet Echo Parameter Estimation Using Time-Frequency Distributions
    P. Govindan, A. Kasaeifard, J. Saniie
    2015 IEEE International Ultrasonics Symposium - LINK
  • Sparse Deconvolution of Ultrasound NDE Echoes Accounting for Pulse Variance
    R. Demirli, J. Lu, P. Govindan, J. Saniie
    2015 IEEE International Ultrasonics Symposium - LINK
  • Singular Spectrum Analysis for Trend Extraction in Ultrasonic Backscattered Echoes
    Y. Lu, J. Saniie
    2015 IEEE International Ultrasonics Symposium - LINK
  • Model-based Parameter Estimation for Defect Characterization in Ultrasonic NDE Applications
    Y. Lu, J. Saniie
    2015 IEEE International Ultrasonics Symposium - LINK
  • Processing Algorithms for 3D Data Compression of Ultrasonic RF Signals
    P. Govindan, J. Saniie
    2014 IET Signal Processing Journal - LINK
  • Hardware-Software Co-design of 3D Data Compression for Real-time Ultrasonic Imaging Applications
    P. Govindan, J. Saniie
    2014 IEEE International Ultrasonics Symposium - LINK
  • 3D Ultrasonic Signal Compression Algorithms for High Signal Fidelity
    P. Govindan, T. Gonnot, S. Gilliland, J. Saniie
    IEEE 56th Midwest Symposium on Circuits and Systems - LINK
  • Performance Evaluation of 3D Compression for Ultrasonic Nondestructive Testing Applications
    P. Govindan, J. Saniie
    2013 IEEE International Ultrasonics Symposium - LINK
  • Performance Analysis of Reconfigurable Ultrasonic System-on-Chip Hardware Platform
    P. Govindan, S. Gilliland, A. Kasaeifard, T. Gonnot, J. Saniie
    2013 IEEE International Instrumentation and Measurement Technology Conference - LINK
  • Reconfigurable Ultrasonic System-on-Chip Hardware (RUSH) Platform for Real-Time Ultrasonic Imaging Applications
    P. Govindan, S. Gilliland, T. Gonnot, J. Saniie
    2012 IEEE International Ultrasonics Symposium - LINK

Hardware and Software Optimization for Systolic Architectures

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The QRD-RLS hardware design is based on folded systolic architecture, which is suitable for VLSI/FPGA implementation. We optimize the systolic structure and boundary cell to acquire high throughput and low latency design. Compared with software implementation, the improved hardware design running on Xilinx Virtex 5 FPGA can provide nearly 10 times higher throughput with minimal cost. When compared with conventional design architectures, the optimized implementation is able to achieve higher performance (speed, area, and latency). The QRD-RLS module is applied to the system identification model for FIR filter design. The result shows that the filter coefficients coverage is very fast. In addition, the hardware is highly configurable by generic settings.

Publications:
  • FPGA Implementation of Gram-Schmidt QR Decomposition using High Level Synthesis
    P. Desai, S. Aslan, J. Saniie
    2017 IEEE International Conference on Electro/Information Technology - LINK (in proceedings)
  • Floating Point Hardware and Software Realization for Adaptive FIR Fetal ECG Estimation
    S. Wang, J. Saniie
    2014 IEEE International Conference on Electro/Information Technology - LINK
  • Hardware and Software Design for QR Decomposition Recursive Least Square Algorithm
    S. Niu, S. Wang, S. Aslan, J. Saniie
    IEEE 56th Midwest Symposium on Circuits and Systems - LINK
  • FPGA Based Architecture for High Performance Adaptive FIR Filter Systems
    S. Niu, S. Aslan, J. Saniie
    2013 IEEE International Instrumentation and Measurement Technology Conference - LINK
  • FPGA Implementation of Fast QR Decomposition Based on Givens Rotation
    S. Aslan, S. Niu, J. Saniie
    IEEE 55th International Midwest Symposium in Circuits and Systems - LINK

Infrared Sensing and Depth Profiling for Fast 3D Image Reconstruction

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With rapid development in 3D vision field, infrared (IR) sensors are applied for detection, tracking, pose recognition and more. Structured-light (SL) applied to IR sensors can generate a depth profile very efficiently. The depth map acquisition by infrared sensors is fast, however, improving the image quality of 3D reconstruction for real-time image sequence streaming is still challenging. We have designed a method to realize a real-time 3D image reconstruction by a HD camera coupled with infrared depth profiler. The 3D image reconstruction computations are slow and highly inefficient. In order to solve this drawback, we have developed a computing system for fast 3D image reconstruction. This system utilizes a parallel float-point multiply-add (FMAD) engines for 3D rendering and reshaping calculations. Our results show that FMAD engines reduce the total processing time by 80% and are very efficient for reconstructing 3D images using IR sensing for depth profiling.

Publications:
  • Eye Tracking using Monocular Camera for Gaze Estimation Applications
    G. Yang, J. Saniie
    2016 IEEE International Conference on Electro/Information Technology - LINK
  • Design Flow of Motion Based Single Camera 3D Mapping
    G. Yang, Z. Zhou, T. Gonnot, J. Saniie
    2015 IEEE International Conference on Electro/Information Technology - LINK
  • 3D Image Reconstruction and Human Body Tracking using Stereo Vision and Kinect Technology
    W. Jia, W.-J. Yi, J. Saniie, E. Oruklu
    2012 IEEE International Conference on Electro/Information Technology - LINK

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