Dr. Kyle K. Mitchell Profile

Dr. Kyle K. Mitchell

Assistant Professor at St Louis Univ

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Author

Publications (11)

Proceedings Article | 30 March 2012 Paper

An iterative search method for strain measurement in EFPI sensors

W. Ebel, K. Mitchell

Proceedings Volume 8346, 83460R (2012) https://doi.org/10.1117/12.917311

KEYWORDS: Sensors, Fiber optics sensors, Signal processing, Transmittance, Fabry–Perot interferometers, Structural health monitoring, Signal detection, Interferometry, Fabry–Perot interferometry, Environmental sensing

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Proceedings Article | 9 April 2010 Paper

Hardware complexity for extrinsic Fabry-Perot interferometer sensor processing

William Ebel, Kyle Mitchell

Proceedings Volume 7650, 76501Y (2010) https://doi.org/10.1117/12.847648

KEYWORDS: Sensors, Signal detection, Radon, Artificial neural networks, Fabry–Perot interferometry, Neural networks, Signal processing, Detection and tracking algorithms, Structural health monitoring, Evolutionary algorithms

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SPIE Journal Paper | 1 November 2009

Low-power hardware implementation of artificial neural network strain detection for extrinsic Fabry-Pérot interferometric sensors under sinusoidal excitation

Kyle Mitchell, William Ebel, Steve Watkins

OE, Vol. 48, Issue 11, 114402, (November 2009) https://doi.org/10.1117/12.10.1117/1.3259359

KEYWORDS: Sensors, Artificial neural networks, Signal processing, Transmittance, Optical engineering, Neural networks, Structural health monitoring, Statistical analysis, Interference (communication), Evolutionary algorithms

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Proceedings Article | 21 April 2008 Paper

Ultrasonic wireless health monitoring system for near real-time damage identification of structural components

Sauvik Banerjee, Kyle Mitchell, Beshara Sholy

Proceedings Volume 6935, 69350A (2008) https://doi.org/10.1117/12.775926

KEYWORDS: Sensors, Ultrasonics, Receivers, Actuators, Structural health monitoring, Wave propagation, Composites, Transducers, Statistical analysis, Reliability

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Proceedings Article | 15 July 2002 Paper

Structural integrity monitoring of composite patch repairs using wavelet analysis and neural networks

Venkata Amaravadi, Kyle Mitchell, Vittal Rao, Mark Derriso

Proceedings Volume 4701, (2002) https://doi.org/10.1117/12.474655

KEYWORDS: Wavelets, Composites, Neural networks, Aluminum, Finite element methods, Adhesives, Algorithm development, Data acquisition, Damage detection, Network architectures

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Proceedings Article | 11 July 2002 Paper

Self-configurable digital controllers for smart structural systems using FPGAs

Venkat Satagopan, Vittal Rao, Kyle Mitchell, Hardy Pottinger

Proceedings Volume 4700, (2002) https://doi.org/10.1117/12.475036

KEYWORDS: Field programmable gate arrays, Digital signal processing, Logic, Control systems, Signal processing, Matrices, Transform theory, Device simulation, Computing systems, Smart structures

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Proceedings Article | 11 July 2002 Paper

Lessons learned about wireless technologies for data acquistion

Kyle Mitchell, Vittal Rao, Hardy Pottinger

Proceedings Volume 4700, (2002) https://doi.org/10.1117/12.475047

KEYWORDS: Sensors, Algorithm development, Software development, Satellites, Telecommunications, Data processing, Intelligence systems, Transceivers, Fermium, Frequency modulation

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In recent years the electronics for developing sensor networks have become compact and cheaper. This has led to an interest in creating communities of distributed sensors that can collect and share data over a large area without being physically connected by wires. The Intelligent Systems Center at the University of Missouri-Rolla (UMR) has for several years been using commercial off-the-shelf (COTS) hardware and custom software to develop a system of stationary sensing nodes capable of pre processing their data locally and sharing processed data to produce global details. This distributed sensing and processing array is targeted for use in monitoring a wide variety of infrastructures. It has been laboratory tested for use in civil, automotive, and airframe monitoring. This paper is an overview of the technologies investigated and the level of functionality obtained from each hardware/sensor/target set. The current system consists of a web server, a central cluster and a collection of satellite clusters. The central cluster is a PC104 X 86 based computer with the satellite clusters being 8051 based single board computers. The satellite clusters are of the order 6 inch X 5 inch X 2 inch in size. There is an effort under way to place a short-range radio with a processor and a PZT sensor into a 2 inch X 1.5 inch X.5 inch package. Exercises have been carried out to demonstrate the ability of the central clusters to remotely control the satellite clusters and the web server's ability to control the central cluster. Further work is under way to integrate the entire system into a web server attached to the Internet and to a long distance communication device, currently employed is a cellular modem into the monitoring array. The web server communicates over standard phone lines to the central cluster, which is equipped with a cellular modem. The central cluster communicates with the satellite clusters using short-range wireless equipment. Proxim rangelan, Erickson Bluetooth, and Linx Technologies RF modules have all been tested as short-range wireless communication solutions. We have demonstrated a system that consists of a structure with an array of smart sensors, preprocess and collect data, and post this data on a web server for global inspection and manipulation. This will enable data sharing and collaborative data analysis to extend the knowledge of structural health monitoring.

Proceedings Article | 16 August 2001 Paper

Web-controlled wireless network sensors for structural health monitoring

Kyle Mitchell, Nghia Dang, Pengxiang Liu, Vittal Rao, Hardy Pottinger

Proceedings Volume 4334, (2001) https://doi.org/10.1117/12.436606

KEYWORDS: Sensors, Sensor networks, Data communications, Structural health monitoring, Data analysis, MATLAB, Algorithm development, Data acquisition, Transceivers, Damage detection

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Proceedings Article | 21 March 2001 Paper

Adaptive neural-network-based control of robotic manipulators

Kyle Mitchell, Cihan Dagli

Proceedings Volume 4390, (2001) https://doi.org/10.1117/12.421175

KEYWORDS: Neural networks, Robotics, Control systems, Robots, Adaptive control, Neurons, Actuators, Kinematics, Tolerancing, Intelligence systems

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Proceedings Article | 21 June 2000 Paper

Distributed computing and sensing for structural health monitoring systems

Kyle Mitchell, Sridhar Sana, Pengxiang Liu, Krishnamohan Cingirikonda, Vittal Rao, Hardy Pottinger

Proceedings Volume 3990, (2000) https://doi.org/10.1117/12.388896

KEYWORDS: Error control coding, Wireless communications, Data communications, Sensors, Structural health monitoring, Distributed computing, Network architectures, Data processing, Computer architecture, Neural networks

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Proceedings Article | 20 July 1999 Paper

Microsensors for health monitoring of smart structures

Kyle Mitchell, Sridhar Sana, Venkataramanan Balakrishnan, Vittal Rao, Hardy Pottinger

Proceedings Volume 3673, (1999) https://doi.org/10.1117/12.354289

KEYWORDS: Sensors, Smart structures, Smart sensors, Data communications, Analog electronics, Wireless communications, Signal processing, Matrices, Transceivers, Data conversion

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Showing 5 of 11 publications

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