| Capstone Design Projects for Term 211 |
| Section # | Instructor | Project
Title | Project
Description |
| 1 | Dr. Hussain
Al-Duwaish | Identification
and Control of DC Motor | The students
will learn how to find the transfer function of DC motor from step response
data. Also, they will design a controller and simulate the closed loop
system. |
| 2 | Dr. Hussain Al-Zaher | Smart Home Using
Internet of Things | The
project aims at a system allowing user to control home based appliances
through Internet of Things (IoT) technology along with acknowledgements. A
user needs not switch home appliances on and off manually.
The system allows user to operate these devices through IoT, also the
status weather the device is switched on or not is sent to user via a return
message. This can be used by domestic users and company users to operate as
well as check status of home and company appliances from anywhere in the
world.
It is a very convenient system for users since it allows them to easily
control and monitor these appliances from anywhere. An example is that a
person may switch on his House or office AC 15 minutes before he arrives so
that he gets a cool environment as soon as he reaches there.
The system works in the following manner, the sms sent by user is received
and then sent to a microcontroller in order to process it. The
microcontroller then activates the appropriate relay for that appliance and
controls it.
|
| 3 | Dr.
Ibrahim Elamin | Contact
Dr. Ibrahim Elamin | |
| 4 | Dr.
Maan Kousa | Trained
Vacuum Cleaners | The
room layouts and furniture in residential and office areas are stationary to
a large extent. Changes are minimal and slow. If vacuum cleaners are trained
to sweep the room, this will lead to a
very efficient and effective cleaning (time, power and coverage area). In
this project we will work for a straightforward technique for training the
vacuum cleaner that does not assume any technical background of the user.
Small changes to room layout will still be accommodated. |
| 5 | Dr.
S.A Zummo | Drone
Detection Radar | The
project will focus on designing a radar system for detection of moving
objects such as drones in a specific area. The team will study existing
approaches and consider all technical and economical constraints to come up
with the most affordable design given these constraints. The design will add
some smart features to enhance the detection process and outcomes. |
| 6 | Dr. Azzedine Zerguine | Computer vision using
deep learning | Deep
learning algorithms have brought a revolution to the computer vision
community by introducing non-traditional and efficient solutions to several
image-related problems that had long remained unsolved or partially
addressed. Deep learning methods can achieve state-of-the-art results on
challenging computer vision problems such as image classification, object
detection, and face recognition. The most significant deep learning schemes
used in computer vision problems are Convolutional Neural Networks, Deep
Boltzmann Machines and Deep Belief Networks, and Stacked Denoising Auto
encoders. In this project, the students are expected to learn and evaluate
these prominent methods to design a system for inspection and recognition of
Face Recognition. |
| 7 | Dr.
Ibrahim Habiballah | Design of
Friendly-Interface Learning Media for Synchronous Generators | This
project is meant to design UFI tools that can help understanding the analysis
of synchronous generators. This will include the basic construction of
synchronous machines, equivalent circuit, power flow diagram and their load
performance. |
| 8 | Dr.
Ali Muqaibel | Indoor
Localization Using Visible Light Localization | There
are numerous positioning techniques and approaches used in localization.
Arguably, the most conventional technique is the Global Positioning System
(GPS). However, GPS has its limitations when it comes to indoor environments
since radio frequencies suffer a large propagation loss when traveling
through rigid objects (i.e. walls). A promising solution uses the technology
of Visible Light Communication (VLC) which enables the use of Light-emitting
Diodes (LEDs) as communication tools besides their illumination purpose, this
approach is called Visible Light Positioning (VLP). The VLP network consists
of fixed transmitter LEDs at known locations and VLC receivers (units) of
unknown locations. The VLP technique uses various parameters and algorithms to
estimate the receivers' locations using the transmitted data from the fixed
LEDs.
Useful references:
Y. Zhuang, L. Hua, L. Qi, J. Yang, P. Cao, Y. Cao, Y. Wu, J. Thompson, and
H. Haas, “A Survey of Positioning Systems Using Visible LED Lights,” IEEE
Communications Surveys & Tutorials, vol. 20, no. 3, pp. 1963–1988,
2018.
Keskin M.F., Sezar A.D., Gezici S., Localization via visible light systems,
Proceedings of the IEEE 106(6), 2018, pp. 1063–1088.
Video demonstrations:
Possible implementation: https://www.youtube.com/watch?v=YFZm0B8Jhvo.
Application demo: https://www.youtube.com/watch?v=mgEf7J_M0Qk.
|
| 9 | Dr.
Sheikh Sharif | Investigating
Microwave Properties of Material | Study
different techniques available to measure the microwave properties of
dielectric and magnetic materials. Learn a professional software (HGSS) and
use it to produce simulated scattering properties of material under test.
Experimentally verify the simulated reponses before extensively using the
simulator to analyze the microwave attinuation and scattering of the
material. Finally, find appropriate applications of the materials under test,
as microwave absorber for magnetic nano material and/or monitoring dielectric
material (sulfur) deposition within a gas pipeline . |
| 10 | Dr.
Yaqub Mahnashi | Noninvasive
Continuous Glucose Monitoring (CGM) System | Description:
The aim of this project is to design and prototype a noninvasive continuous
glucose monitoring (CGM) system. This is the third version of this project.
The team is expected to continue the work focusing on: (1) high frequency
oscillator design, (2) power management unit design, and (3) system
integration and experiment verification.
The system is based on RF sensing using 5.8GHz antenna. An analog front
end, which was designed by previous group, reads the information contained in
the reflected signal. This information is processed locally by a
microcontroller (i.e Arduino), then sent by Bluetooth to a smartphone and
stored in a customized App to get the daily glucose trend. The mobile App,
subjected to user’s permission, can send this information to the cloud to be
used by the physician.
Required knowledge/courses: E303,
EE340, EE390 or good Arduino programming skills.
Preferred skills: good circuit design, mobile App development, PCB design
and implementation.
|
| 11 | Dr.
Motaz Alfarraj | Real-time
Vision-based Object Detection and Volume Measurement | In
this project, the team will work on real-time detection and sizing household
objects using vision-based methods. This project uses deep learning to detect
and, possibly, identify the object. Then, image processing is to be used to
measure the volume of the detected objects. The project is expected to be
completed using off the shelf products like depth or stereo cameras in
addition to image processing and computer vision methods for the detection
and sizing of the objects. The project is to be implemented on a raspberry Pi
with multiple camera and a depth camera (or LiDAR sensor). The applications of this work can be
extended to an industry scale imaging system to detect, track and size
objects in a production pipeline. The project can also be extended to be
implemented in a phone-based application using ARKit (iOS) or ARCore
(Android) |
| 12 | Dr.
A. Zidouri | Design
of a Health Digitalized Personal Diary | Currently,
especially in the COVID-19 era, the medical research world has a serious lack
of access to accurate & detailed patient data points in studies that
require patients self-documenting by pen and paper. Designing a digitalized
personal diary in which patients can track their symptoms & it’s severity
on their phone is a real asset. Patients and approved medical professionals
may then easily view the analysis of the patient’s symptom data through the
website portal on any device, simply by signing in with their accounts. With
such a diary’s detailed data points & visualizations, medical
professionals can make more informed and data driven diagnoses for their
patient’s treatment/prevention plans. One example is myMedDiary project of
Information School of University of Washington. |
| 13 | Dr.
M Deriche | Contact
Dr. M. Deriche | |
| 14 | Dr.
Ahmad Masoud | The
Unicopter |
The objective of this project is to build an aerial platform that contains
only one vertical lift propeller (the unicopter). The project also aims at
controlling basic movements of the copter (up-down, right-left) in a manner
that enables an operator to wirelessly command the platform.
The system consists of the following components:
1- The vertical lift propeller system
2- The tilter system to move the unicopter sideways
3- The control system
4- The wireless link between the operator the copter
5- The casing that provides mechanical support and house the above
components.
Project tasks include:
1- Survey of existing and previous attempts to build such system
2- prototyping the mobile platform and controlling it
3- Experimentation and testing
4- Clear, thorough documentation of all the phases of the project using
photos, videos and text
5- Report writing
6- Presentation preparation
Assessment scheme:
The work will be divided into weekly tasks which the member of the group
will individually carryout. Each week, the member of the group will provide a
progress report and a presentation about the task that was assigned to them.
The marks of the report will be used to determine the 60% individual mark of
each member.
|
| 15 | Dr.
K. Qureshi | Interpretation
of plantar pressure for haptic classification through Brain Computer
Interface (BCI) device | The
project aims to use a Brain Computer Interface (BCI) device to interpret
various foot plantar pressures for haptic classification. This will be useful
for human rehabilitation and understanding of various signals coming through
foot contact in different ground contact scenarios (hard/soft, hot/cold). The
students will get hands on experience on an open BCI platform and develop
code for classification through own experiments or if available data
sets. |
| 16 | Dr.
S. Al-Ahmadi | The
power outages reporting in smart homes | The
detection and reporting of power outages is important for residential areas
as such outages are not detected by SEC. The aim of this project to build a
reliable power outage detection and reporting
(to SEC) systems as a part of a smart home. |
| 17 | Dr.
A. Awami | Contact
Dr. Awami | |
| 18 | Dr. M. Al-Muhaini | Smart Office Health
Management System | The
project aims to design an adaptive and smart office health management system
that can monitor and control different factors effecting the health of office
workers. |
| 19 | Dr. Mohammed Khan | Self-powered Li-Fi
system and light energy harvesting wireless sensors in smart building
management. | The
project will involve designing a self-powered light-fidelity (Li-Fi) system,
and light energy harvesting wireless sensors used for smart building
management. The Li-Fi system, which is an optical wireless as well as visible
light communication system, will be a bidirectional in nature with indoor
white light LED/photodiode as one transceiver, to communicate with an indoor
wireless sensor that encompass the other transceiver (visible/infrared light
LED and a photodiode). Furthermore, both, Li-Fi system and wireless sensors
will be powered by harvesting the indoor lighting energy. Lastly, the Li-Fi
system will provide the status of the wireless sensor to the main
node/control unit of the building floor.
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