SPRING 2020THE FUTURE IS WHAT WE DO

Department of ECE 487 SENIOR DESIGN PROJECTS

Vision-Guided MARCbot IV RobotFunded by Army’s CERDEC Night Vision & Electronic Sensors Directorate

Design Goals• Install Lidar without obstructing other sensors.• Integrate Lidar data with current visual tracking system.• Improve target location and tracking capabilities.• Secure Setup of components loose on MARCbot.• Improve obstacle avoidance capabilities.

Design ChallengeIntegrate a Lidar hardware into an autonomous robot designed to follow individuals using a real-time facial recognition system.

Team Members: Mark Leyva, Austin Meador, Chris Dang, Omar Almetary, Matthew DailAdvisor: Dr. Khan Iftekharuddin

This project integrates Lidar hardware and software into a vision-guided MARCbot IV robot system to perform real-time surveillance. The system uses camera collected data in conjunction with facial recognition software to identify and follow selected targets. The Lidar integration will allow for better Obstacle avoidance and ROT (Region of interest) imaging.

“The MARCbot is the start of a new generation vision-guided robots that can greatly benefit the Military.” - Mark Leyva

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S Pb S Pb

S Pb S Pb

S Pb S Pb

S Pb S Pb

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Polymer

PbS Nano-Crystals

Contact

Perovskite

Perovskite crystal structure

PbS crystal structure

Development Of Perovskite-Based Photodetector With High StabilityFunded by Army’s CERDEC Night Vision & Electronic Sensors DirectorateDevelopment and production of a broadband organic/inorganic PbS-Perovskite-based photodetector maximizing light absorption and recombination rate while minimizing dark current and the decay of Perovskite and electrodes.

Design ChallengeDevelopment and manufacture of PbS+PerovskitePhotodetector

Design Goals• Stability of Perovskite and electrodes • Broadband detection with focus on near-IR • High charge carrier mobility with minimal dark current

Team Members: D. J. Game, Richard TrevisanAdvisor: Dr. Gon Namkoong

“Basically we got a special light detecting spaghetti that's ruined by getting soggy.” – Richard Trevisan

Team Members: Zemin Chen, Kasey Cordner, Siyang Fan, Matt Moser, Derek Oliver, Tim Sebring, Xiaofan ShiAdvisor: Dr. Yucheng Zhang

Design ChallengeTo automate the alignment of the charging coils in a wireless drone charging station.

Design Goals• Build test bed to test charging efficiency. • Identify drone position on charging pad.• Move charging pad to align charging coils.• Develop final charging station.

The objective of this project is to build a wireless charging station to charge a drone. A 1x1m charging station was selected to be the landing zone. The whole system includes a receiver and a power transmitters for wireless charging. To maximize the efficiency of wireless power transmission, we use a position-detecting sensor to monitor the landing spot of the drone. Once the coordinate has been located, the sensor will send out the accurate data to the station and align the transmitters with receiver properly to create the coupling as ideal as possible.

A Prototype Wireless Drone Charging StationFunded by U.S. Army (NVESD)

Embedded Smart Lab with Wireless CommunicationFunded by Army’s CERDEC Night Vision & Electronic Sensors DirectorateImplement “smart lab” technologies into ODUs materials testing laboratory in which distance learning students can interface with the lab equipment from any location.

Design ChallengeWirelessly link via Wi-Fi to students’ personal laptops and allow them to control the lab equipment and collect data.

Design Goals• Read data in real-time• Remotely control lab equipment• Implement Computer Vision to collect data

remotely

Team Members: Luke Cowden, Andrew Stewart, Natalie Pham, Gage BradleyAdvisor: Dr. Chung-Hao Chen

“There is no such thing as an unsolvable problem.” - Natalie Pham

Development of a Copper Nanoisland Ozone SensorFunded by Army’s CERDEC Night Vision & Electronic Sensors Directorate and National Science FoundationFabricate copper nanoislands for application in ozone sensors by using thermal evaporation.

Design ChallengeOur challenge is to deposit thin-film copper onto silicon slides and test its abilities to detect ozone.

Design Goals• Deposit copper onto silicon substrates.• Design a sensor chassis capable of optical and electrical

testing.• Test copper nanoislands using optical and electrical methods.

Team Members: Gabriel Boughner, Andrew GillikinAdvisor: Dr. Hani Elsayed-Ali

Quote: “Always Great Ships”

Exploring Physical Unclonable Functions as Secure Sensors Funded by Department of Electrical & Computer Engineering

This project is to simulate and test ROPUF designs to strengthen the security measures seen in today's wireless sensors and increase the reliability of ROPUF as a security measure.

Design ChallengeUse average data sampling and principal component analysis to achieve 99% ROPUF reliability.

Design Goals• Simulate 128 bit ROPUF.• Test with machine learning.• Attempt to clone physical circuit.

Team Members: Anthony Delapena, Logan Wright Advisor: Dr. Weize Yu

“Let’s make the wireless world a little bit more secure.”

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Laser Instrument Development for Planetary Surfaces and Atmospheric CharacterizationFunded by NASA Langley Research Center

Optimization of a compact spectrometer capable of characterizing materials in the field using a monochromic laser and an Intensified Charge-Coupled Device camera.

Design ChallengeOptimize the spectrometer

Design Goals• Achieve RAMAN scattering data.• Derive improvements in spectrometer design• Improve accuracy of data.

Team Members: Constantinos Manolakas, Tom AshAdvisor: Dr. Hani Elsayed-Ali

“The stars will never be won by little minds; we must be big as space itself.” – Robert Heinlein

Design ChallengeDesigning an electrode array for delivery of electric pulses to deep brain structure.

Team Members: Christopher Garcia, Joseph Matthews, Aleasha Roberts, John HaglerAdvisor: Dr. Shu Xiao

“Just on more hour, I almost got this!” - Christopher Garcia

We propose to build an electrode array for possible delivery of intense, high power, nanosecond electric pulses as stimuli for neurostimulation. We are exploring the feasibility of an array of electrodes placed on the head which will deliver currents in a spatially and temporarily additive manner.

Design Goals• Assess how much an electric pulse attenuates from the

skin to the center of the brain.• Design an array of electrodes and conceive possible

configurations in order to reach deep brain structure• Conceive proof-of-concept experiments.

Designing an Electrode Array for Delivery of Electric Pulses to Deep BrainFunded by Dr. Shu Xiao, Professor, ECE

Self-Drive Electric Car and IGVCFunded by NAMC, TACOM, Student Projects Committee The self-drive vehicle will compete in the Intelligent Ground Vehicle Competition held at Oakland University in Michigan.

Team Members: Ryan Redmon, Michael Nilsen, Akash Gosai, Dustin Thompson, Peter Espinoza, Beaux Gonzales, Aaron Easter, Carl Scheider

Advisor: Dr. Lee Belfore

“This self-drive will only travel as far as you are willing to take it.” - Dustin Thompson

Design ChallengeTo qualify and compete in all challenges of the 2020 Intelligent Ground Vehicle Competition.

Design Goals• Update image intensifier tube for night vision.• Upgrade current vision system to stereo.• Create model and simulation design for LiDAR.• Validate vehicle motion using simulation.• Develop neural network for lane detection.• Implement collision avoidance system.

Theory and Quantum Algorithm Design Qiskit Software Design Quantum Circuit Design

IBM Q ImplementationMeasurement ResultsInterpretation and Analysis

Quantum Algorithms for Applications to Quantum ComputersFunded by ODU Department of Electrical & Computer EngineeringDevelop quantum algorithms, then design and test quantum circuits for implementation on IBM Q quantum computers using Python-based Qiskit language.

Design ChallengeExploit the counterintuitive behavior of qubits for greatly decreased computation time over classical computers.

Design Goals• Develop quantum algorithms• Design quantum circuits• Real-world applications:

- Efficient solutions to Maxwell’s equations- Public key decryption & quantum key distribution

Team Members: Korab Cocaj, Ambrose Dinh, Hamza Mohammed, Zhongxin Wang, Rob Yatteau, Zihan ZhangAdvisor: Dr. Linda Vahala

“The quantum world, strange as it is, lets us use its strangeness to our advantage.” – Rob Yatteau

• Current Density𝐽𝐽𝑛𝑛 = 𝑞𝑞𝑞𝑛𝑛𝑛𝑛𝑛𝑛 + 𝑞𝑞𝐷𝐷𝑛𝑛

𝑑𝑑𝑛𝑛𝑑𝑑𝑑𝑑

• Goal : Continuity equation𝜕𝜕𝜕𝜕𝑑𝑑 ε0ε

𝜕𝜕Ψ𝜕𝜕𝑑𝑑 = −𝑞𝑞 𝑝𝑝 − 𝑛𝑛 + 𝑁𝑁𝐷𝐷+ − 𝑁𝑁𝐴𝐴− +

ρ𝑑𝑑𝑑𝑑𝑑𝑑𝑞𝑞

−𝜕𝜕𝐽𝐽𝑛𝑛𝜕𝜕𝑑𝑑

− 𝑈𝑈𝑛𝑛 + 𝐺𝐺 =𝜕𝜕𝑛𝑛𝜕𝜕𝜕𝜕

• Carrier Concentration𝑛𝑛 = 𝑛𝑛𝑖𝑖𝑒𝑒(𝐸𝐸𝐹𝐹−𝐸𝐸𝑖𝑖)/𝑘𝑘𝑘𝑘

• Poissons equation𝜕𝜕𝜕𝜕𝜕𝜕𝑑𝑑

=𝜌𝜌𝑠𝑠𝜀𝜀𝑠𝑠

Semiconductor Software IntegrationFunded by Department of EnergyAs the scale of semiconductor technologies continues to be minimized in the nano scale, it becomes increasingly important to accurately model multiple processes for each device. Through this project we will take two approaches for modeling (SCAPs and COMSOL) and work with both to produce an idealized model in COMSOL for the analysis of various semiconductor devices, with emphasis on solar cells.

Design ChallengeDeveloping a method to integrate one software’s capabilities into another software, thus creating a single platform capable of full scale, multi-dimensional simulations and modeling of photovoltaic devices.

Team Members: Chris Whatley, Jeremy Mariano, Gabby BaumanAdvisor: Dr. Sylvain Marsillac

“Even “only” using half of COMSOLs abilities will be more accurate than we need.”

Design Goals• Gather implemented formulas from both programs.• Identify solar cell parameters and properties, then characterize

inputs as either user defined, material constants, or calculated data.• Derive required information for the desired COMSOL module.• Develop and test the photovoltaic COMSOL module.

Signals Flow Chart

Object Detection on UAVs Using Deep LearningFunded by Student Projects CommitteeAssemble a drone from scratch. Program a flight controller to achieve flight stabilization for capturing images. Build convolutional neural network to identify plastic bottles in real time.

Design ChallengeProgram flight stabilization on a drone to capture imagery for deep learning models.

Design Goals• Flight stabilization• Pre-programmed flight routes• Object detection

Team Members: Carl Craven, Ron TayoAdvisor: Dr. Chung-Hao Chen

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