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 Capstone Design Projects for Term 211

Capstone Design Projects for Term 211
Section #Instructor Project TitleProject Description
1Dr. Hussain Al-DuwaishIdentification and Control of  DC MotorThe 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. 
2Dr.  Hussain Al-ZaherSmart 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.
3Dr. Ibrahim ElaminContact Dr. Ibrahim Elamin 
4Dr. Maan KousaTrained Vacuum CleanersThe 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. 
5Dr. S.A ZummoDrone Detection RadarThe 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.
6Dr. Azzedine ZerguineComputer vision using deep learningDeep 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.
7Dr. Ibrahim HabiballahDesign of Friendly-Interface Learning Media for Synchronous GeneratorsThis 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.
8Dr. Ali  MuqaibelIndoor 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:
Application demo:
9Dr. Sheikh Sharif Investigating Microwave Properties of MaterialStudy 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 . 
10Dr. Yaqub MahnashiNoninvasive Continuous Glucose Monitoring (CGM) SystemDescription: 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.
11Dr. Motaz AlfarrajReal-time Vision-based Object Detection and Volume MeasurementIn 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) 
12Dr. A. ZidouriDesign of a Health Digitalized Personal DiaryCurrently, 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.
13Dr. M DericheContact Dr. M. Deriche 
14Dr. Ahmad MasoudThe 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.
15Dr. K. QureshiInterpretation of plantar pressure for haptic classification through Brain Computer Interface (BCI) deviceThe 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. 
16Dr. S. Al-AhmadiThe 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.  
17Dr. A. AwamiContact Dr. Awami 
18Dr. M. Al-MuhainiSmart Office Health Management SystemThe 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.
19Dr. Mohammed  KhanSelf-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.