Project ideas and advice
The following ideas have been provided by faculty members or companies, and may (or may not) become an approved project. Contact the person listed for each project to learn more about it.
Christmas Yard Decorations: Every year more and more yard decorations are based on electronic components. An older example I have seen is a Santa Claus shooting basketball (Larry Otis and Sharon Fanning’s yard). What about Mary putting Jesus in a manager? What about Shepherds coming to the manager? Animals raising and lowering their head, making sounds, etc.? Maybe this is scalable in that you could start with some characters (Mary, Joseph, Jesus) and “sell” optional animals, shepherds, and wise men; just need to “plug in” more characters. You create something unique and interesting, it will sell. Market-up for uniqueness in this market is high. You could focus on Halloween decorations, if dark and scary is your preference. An earlier senior design project like this is Holiday Light Show . Contact: Dr. Robert Moorhead.
Trailer Hitch Art / Animation / Distractions: This sector would force you to learn about voltage and current from that plug / wire near the hitch, as well as power and energy. Probably larger volume, lower cost product than yard decorations. How about a “large” MSU sign that flashes M S U and plays the fight song? A Christmas ornament that has reindeer flying in a semicircle while playing a Christmas song? A Christmas tree that lights up random colored lights, tinsel, and plays bells? Sounds simple, but you’d want to “road test” extensively for durability, so get final prototype done by end of SD 1. Contact: Dr. Robert Moorhead.
Winston Plywood & Veneer – Block Conditioning Water Storage Pit Cleaning Package. Control 2-axis gantry crane system to maneuver a 600 GPM pump's intake hose around a water storage pit, avoiding submerged obstacles while monitoring pump flow and solids content. Contact: Dr. Jones.
Strain gauge amplifier – Create an amplifier for a strain gauge capable of operation up to 100 kHz, and adjustable sensitivity of up to 1000 X. This project requires students comfortable with analog electrical design. Contact: Dr. Jones.
Design an autonomous snake/fish-like robot that is able to survey underwater, which is similar to Eelume: https://eelume.com/ . Contact: Dr. Bo Tang.
Sensors for smart food manufacturing. Temperature and flow sensors to remotely monitor and control manufacturing processes (e.g., active fermentation, cold crashing status). Contact: Dr. Jean Mohammadi-Aragh.
Artificial Intelligence RC Car Racing – Develop a self-driving car with sensors (camera, LiDAR, GPS etc.). MSU CAVS (Center for Advanced Vehicular Systems) research facility has an RC racetrack to test the prototype. Look at this example: https://caipeide.site/autorace-dirl/ and https://developer.nvidia.com/embedded/diy-ai-race . Contact: Dr. Dabbiru at: [email protected] .
Obstacle and track detection in autonomous cars – The RC car should be able to detect the obstacles for smooth and efficient navigation. It should be able to calculate the distance from the obstacle and should stay within the lines of the track. MSU CAVS (Center for Advanced Vehicular Systems) research facility has an RC racetrack to test the prototype. Look at this example: https://developer.nvidia.com/embedded/diy-ai-race . Contact: Dr. Dabbiru at: [email protected] .
A re-designed or re-created version of https://www.propelleraero.com/aeropoints - Dr. Robert Moorhead
Aerial Drone Charging via Power line: This is a sponsored project by a new startup looking to innovate in the field of drone technology and electric utilities. Using a known voltage gradient, caused by the electric field of an energized overhead conductor, recharge an aerial drone. Essentially the team should look to take advantage of placing two ends of their charging probes at a set physical distance within a known electric field gradient. This would enable an aerial drone to hang from the conductor, recharge, then continue on with its activity. The aerial drone must be able to fly near and within a high voltage environment (account for noise and spurious voltages within the actual drone), and charge itself from a suspended high voltage conductor. Contact: Dr. Dabbiru, [email protected]
Michael Jaffe is a faculty member at the vet school, and worked with a senior design team to create a dog vest. He has several projects (measuring head bob in dogs, etc.) that might make good senior design projects. Contact: [email protected]
T herapeutic lighting : L ight panels in office settings that display various natural scenes in the offices. Some examples are: fish tanks with moving fish, active snowfall on mountains etc. Contact: Chaomin Luo at [email protected]
Safety Bear: Safety bear is a device to help prevent parents from leaving small children in cars. The general idea is that the bear is hung on a rear view mirror and it reminds parents (by beeping / talking) their child is in the car. There’s also a proximity sensor and remote that can send a signal if a parent gets too far from the car without deactivating the bear. The inventors are Mr. Henry and Ms. Betsy Liddell, who will give the design specifications. Contact Dr. Dabbiru at: [email protected] to meet with the client.
Modify battery-operated ride-on toy vehicles (such as Go Baby Go cars https://www.yourcpf.org/cpproduct/go-baby-go-the-ultimate-toy-hack / , Power Wheels, Barbie cars, etc.) to make them more accessible to children with disabilities.
Modify electric battery-operated ride-on toy vehicles to accommodate older children (5 - 11 years old) with disabilities; allow these older children the enjoyment and autonomy that comes from navigating toy ride-on vehicles while ensuring their safety and accessibility (i.e., many currently existing cars are geared toward very young, preschool-aged children)
Use virtual reality to train children with disabilities to learn how to maneuver power chairs; similar to “driver’s ed” courses for children to learn to manipulate power chairs before they graduate to actual chairs that weigh hundreds of pounds and can be unwieldy at first; training courses would need to be fun and engaging—e.g., obstacle courses, crowded street fair settings, dinosaurs/space aliens/etc.
Use virtual reality for children with disabilities to educate or entertain themselves (e.g., perhaps set in interesting cities that children could “explore,” similar to training routes you might see in gyms for people using treadmills or stationary bikes)
Monitor/sense the position of children or adults with disabilities on a bed or chair by adding some features to already existing pressure-sensing cushions (the cushions will be provided by T.K. Martin Center). For example, cushions should sense when a user is seated on them for an extended period and communicate through app alerts to caregivers that the user should be repositioned/chair tilted/etc. to prevent injuries such as bed sores.
Robotic assistant with household or business tasks. Contact: Ivy Kelly, CSPIRE.
Use virtual reality (VR) in physical / mental therapy. Contact: Ivy Kelly, CSPIRE.
Virtual storefront for training and/or support. For example: to check if the network is working by monitoring the LEDs using the camera system and notify. Contact: Ivy Kelly, CSPIRE.
Inspect huge transformers with a robot that would inspect the core, windings, check oil etc. with cameras. The transformers are very hot >100 ° C. Contact: Chris Litton, Southern Company / Mississippi Power.
Build a virtual reality simulator to maneuver powered and manual wheelchairs to improve mobility of people with disabilities (current NSF (National Science Foundation) project).
Build a customizable vehicle (Sedan/ SUV) driving simulator for persons with disabilities and different cognitive abilities (current NSF (National Science Foundation) project).
Submit your project to the IEEE Communications Society student competition !
To prepare for Senior Design I:
Attend the ECE open house and ask at least one current senior design team for their advice. Include a one-paragraph summary of what you learned in your project proposal.
Form a team of 4-5 members. Ask your friends in the ECE department who plan to start senior design at the same time as you -- start forming your team early! You can also post on a message board . For those without a team or with a partial team, I'll help teams self-form on the first day of class.
In addition to advice on the Introduction to Senior Design page , a good senior design project should:
Be interesting. You’re going to spend an incredible amount of time on your project; pick something that you and your entire team want to work on.
Match your team’s skill set. A team unfamiliar with vacuum tubes should avoid a project that focuses on vacuum tubes.
Be unique. If the product you describe already exists, your proposal should differentiate your idea from what’s already available. Look through the past and present projects list on the senior design website, and search the web for your proposed project. Note that older projects may no longer be challenging as technology advances! Bad example: the keyboard tutor will light up LEDs on a piano keyboard to help students learn to play. (This already exists.)
Contain electrical engineering components. If your team includes CpEs, your project should contain a computer engineering component. If your solution involves writing code for off-the-shelf hardware, it doesn’t qualify. Example: a football parking drone will use a downward-facing camera to find open parking spots, then transmit these to a parking app to sell the spaces.
Be a product that solves a real-world problem. A proposal cannot simply explore technology X; it must use technology X in the design of a product.
Be of reasonable difficulty. Design something more complex than a pencil sharpener, but avoid research projects. Bad example: design the next Mars lander (too complex).
Be realizable. Bad example: build a wallet finder that contains GPS and a cell phone data connection and fits in a wallet. (You can’t put all these components in a small package; it won’t have sufficient battery life.)
Be prototypable, usually on a solderless protoboard. Your team must demonstrate a working prototype at the end of Senior Design I.
Be specific. The high-level project description should clearly state the overall purpose of your product. The detailed software and hardware description should present a clear vision of how the project will be accomplished, without specifying implementation details. Bad example: the project will use an Arduino and an ESP8266 WiFi module to interface with an Android app (these are implementation decisions).
Civil and Environmental Undergraduate Senior Design Projects
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More than 1,000 projects successfully completed.
Below are just a handful of recent projects.
Exhibits for the Orpheum Children's Science Museum (Champaign, Illinois)
During the 2018 spring semester, two teams of five MechSE undergradudates created two new interactive astronomy-themed exhibits for the Orpheum Children's Science Museum in Champaign, Illinois. “Asteroid Mine” and “Orphy’s Escape to Space” are first-of-their-kind projects for the Senior Capstone Design Program. The students were given full autonomy to conceive, design, and build the exhibits, and they collaborated with Orpheum staff and MechSE faculty advisors. The students created original, interactive, working exhibits over the course of a single semester. We thank Phillips 66 for their support!
Hydraulic bike for the Fluid Power Vehicle Challenge
The goal of the 2018 spring semester team for the hydraulic bike project was to create a hydraulic system capable of powering and driving a bicycle for the National Fluid Power Association's vehicle challenge. Requirements include a power input, drive motor, a mechanism to store hydraulic power, and regenerative braking. The team produced a functioning treadle pump and hydraulic motor system with improved valving and consistent hydraulic flow.
Compact and Efficient Fluid Power Competition: Additive manufactured excavator cab
Design of a Solar Powered Lemur Heating and Cooling System (for Johnson Controls and the Lemur Conservation Foundation)
Design of an ICU Bed Head Angle Measurement System (for Carle Foundation Hospital and Shell Oil Company)
Design for optimized heat flow across a bolted/gasketed interface (for Boeing)
Surgical pad control box design (for Innoventor)
Bike helmet design (for Caveat Emptor)
Industrial burner redesign for reduced weight (for Eclipse)
Bridge impactor design for fault detection (for Civil Engineering)
Cold aisle containment design to save cooling cost (for NSCA)
Design of an affordable human-powered water pump for Cambodia that utilizes local materials and manufacturing techniques (humanitarian project, sponsored by Shell)
Shell Eco-Marathon Americas Competition
NFPA Fluid Power Vehicle Challenge
Design of a waterside economizer predicted to save over $2M/year in cooling costs (for NCSA Blue Waters supercomputer)
To propose a Senior Capstone Design Project or to learn more, contact: Damon McFall , PE, MBA Sponsored Projects Coordinator [email protected] or 217-244-6278
Senior design projects
The senior design experience gives students an opportunity to work with real clients, real problems and real data.
Senior Design Project Competition and Reception
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ISE welcomes project proposals from industry. Corporations, small companies, government, and non-profit agencies have received benefits from student-proposed solutions.
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Information for students
Senior design projects give students the opportunity to learn about professional practice as they apply their knowledge of industrial engineering to understand and solve real-world problems. Through this project, students learn how to structure and implement a design process that considers manufacturing constraints, ethics, and customer needs.
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View 2021-2022 projects » View 2020-2021 projects » View 2019-2020 projects » View 2018-2019 projects » View 2017-2018 projects »
Amazon Fulfillment Multi-order automation
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Seattle Children’s Hospital Analysis of hospitalist scheduling software
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UW Medicine Body Imaging Improving decision making in radiology body imaging
UW Medicine Echo Lab Increasing treadmill stress test efficiency
UW Office of Global Affairs Emergency management improvements
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Senior Design Showcase
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The Senior Design Showcase is a semi-annual event at the College of Engineering & Computing that features ideas conceptualized and built by more than 400 senior engineering and computer science students every semester, and brings nearly 1,000 attendees, including our partners from industry and community.
This Spring nearly 580 seniors, working in teams of two to six, created solutions for problems faced by the industry or community.
Please select a program to see description of projects:
Biomedical Engineering Civil Engineering
Computing & Information Sciences Construction Management
Electrical & Computer Engineering Environmental Engineering
Internet of Things Mechanical Engineering
Biomedical Engineering Senior Projects
Bme team 1: garrison gauge 3d.
Sponsor : Garrison’s Prosthetics Services Inc
BME Team 2: AVRA Micro-Needling End Effector
Bme team 3: wearable transdermal isoflurane monitoring device.
BIO MEMS Laboratory – FIU Department of Electrical Engineering
BME Team 4: KardiaSonus CCSMS
Sponsor : Nano Dimension
BME Team 5: Hip Flexion Contracture Therapeutic Medical Device
Sponsor : Alchemy Composites Inc
BME Team 6: Nano particle Anti-HIV Drug Release in Mice Through EM Stimulation -MouseStim
Bme team 7: tremor tranquil (t2).
Sponsor : BetaBlue Inc.
BME Team 8: Manufacturing Process of a SCOBY Bio-Thread
Sponsor : Surgical Drill Bit System
Civil Engineering Senior Project
Construction management senior project.
CM Seniors are responding to the same Request for Proposal (RFP). They are grouped under fictitious company names (instead of a project name). These groups are competing to win a bid to build Parkview Student Housing at Florida International University.
J. ken construction corp, pinnacon llc, haac construction managers inc., jdc construction llc, lpk construction llc, 4j builders llc, computing and information sciences senior projects, cs team 1: advanced temporal extraction and reasoning system.
CS TEAM 2: App Development for Analyzing Biological Networks
Cs team 3: auditory training app for hearing loss, cs team 4: baby feed, cs team 5: community- connect, cs team 6: course evaluation system, cs team 7: deploying machine learning application on edge devices, a study of challenges and solutions, cs team 8: development of an apple watch app showcasing weight, cs team 9: forensic library app, cs team 10: incluesion training platform, cs team 11: information theoretic inequality system prover, cs team 12: numom, cs team 13: p2p drive, cs team 14: skillcourt, cs team 15: stress & anxiety management, cs team 16: vocabulary in reading study (virs), electrical and computing engineering senior projects, ece team 1: portable energy alternating current energy (peace) project under the epsi lab, ece team 2: traffic light controller, ece team 3: neura-amp: an approach to amplifier synthesis and replication using neural networks, ece team 4: thermoelectric smart container, ece team 5: filament feeding system with heat chamber, ece team 6: water wand crowdsourced hydrometry, environmental engineering senior project, internet of things senior projects, mechanical engineering senior projects, team 1 - fiuav : fixed wing uav, team 2 - w.i.n.d. : design and development of an off-grid vertical axis wind turbine (vawt) street lighting system for rural application, team 3 - r.o.a.d : robust optimization for aerodynamic drag (aero wheel covers), team 4 - fsae exhaust system: fsae exhaust system, team 5 - sea-rate: seawater battery: the next generation of renewable energy storage, team 6 - skateboard team: re-engineering the skateboard, team 7 - guardians of the apogee : spaceport america cup competition 2022-2023, team 8 - layer tech: additive manufacturing of sensors, team 9 - star-shaped missiles: star-shaped missiles for reduced aerodynamic drag, team 10 - whirlwind: vertical axis wind turbine powering highway light, team 11 - plantmod: plantmod, team 12 - flozone: off grid emergency cooling, team 13 - team darc : desktop wire edm, team 14 - pixel: filtering contaminants : filtering contaminants, team 15 - passive flow splitting module for microfluidics : passive flow splitting module for microfluidics, team 16 - electric boogie woogie : electric trolley 1, team 17 - the bus boys : electric trolley 2.
Senior Design Projects
A requirement for graduation, undergraduate student teams take on year-long capstone projects, putting their problem-solving skills to the test and collaborating to take an idea from concept to design to prototype. On the fourth Thursday in May, teams present their work to an audience of industry experts, faculty advisors, students, family, and friends of the School of Engineering at the annual Senior Design Conference—a highlight of our academic year.
Drone-based Wireless Communications for Disaster Recovery
Cameron burdsall, mark rizko.
This project aims to develop a drone system that deploys a wireless mesh network over a disaster recovery area. The system aids in the process of finding survivors by using wireless communications to identify where victims are and allow authorities to send out alerts to people in the area. We also add a device detection feature that allows the drones to passively look for users' devices through WiFi and Bluetooth Low Energy; giving disaster responders the ability to identify specific devices, locate zones where victims lie, and discern a rough population estimate of that area. Those who find themselves in the middle of a disaster situation can use their own devices to establish a connection with the outside world. Under a mesh topology, the drones act as network nodes that enable a more resilient configuration. The drones will be flying above an area to provide wireless connectivity for first responders and those in distress, ensuring reliable detection and a critical communications pipeline when needed the most.
Enhanced Sensing Methods for UAV-Based Disaster Recovery
Connor azzarello, ruchir mehta, chris gerbino.
Natural and human-caused disasters devastate and displace civilian populations. Over the past century, the rate at which these catastrophes occur has increased dramatically. Climate change and unsustainable human behaviors are significant contributors to natural disasters; therefore, this upward trend will likely continue. Unmanned aerial vehicles (UAVs) are commonly used to assist first responders during disaster response. The existing UAV technologies focused on disaster recovery have proven to be quite effective; however, they are cost-prohibitive, limiting their use in developing world regions. Unlike the existing UAV-based disaster response technology, we propose a solution that enables indigenous first responders to reap the benefits of UAV-based disaster response technology. We have created a UAV system with comparable flight time and flight capabilities as the existing industry-standard solutions through an extensive evaluation of cutting-edge single-board computers, UAV hardware, and computer vision models. Additionally, our system capitalizes on the functional drawbacks of the current solutions. It is more modular, allowing for a single UAV to be used in various disasters, and it boasts the capability of real-time computer vision. Most importantly, our system can be recreated for one-eighth the cost of a consumer alternative with similar functionality. As a result, first responders in low-resourced regions have access to affordable disaster response technology that can be used to save lives.
Jamming Attack Workaround Study
Soren madsen, jack schoen.
The Internet of Things (IoT) is a fast-growing industry with solid footholds in the smart home market featuring devices such as the Amazon Echo, Ring security cameras, smart TVs, and much more. However, it doesn't stop there; the industrial sector has begun using smart devices for measurement, automated tasks, and time-sensitive communication. Many of these devices have become reliant on WiFi technology and are vulnerable to attacks on the protocols' security. In this project, we discuss the details of the de-authentication attack on WPA and WPA2 systems and propose a solution for detection and recovery in IoT networks, all included in a single, easy-install device. We evaluated our solution in a smart home environment against variations in packet reception rate and concluded that our system is effective for small smart home networks. In addition, this solution can be modified in various ways to further the field of IoT security and provide manufacturable, easily accessible smart system security solutions.
Seamless Container Migration Between Cloud and Edge
Angeline chen, jonathan yezalaleul, aditya mohan, tamir enkhjargal.
Considering the limited resources of edge devices, it is essential to monitor their current resource utilization and device resource allocation strategies that assign containers to edge and cloud nodes based on their priority. Edge containers may need to be migrated to a cloud platform to reduce the load of edge devices and allow for running missions critical applications. In this case, we propose a prioritization method to exchange containers between the edge and cloud while assigning delay-sensitive containers to edge nodes. We evaluate the performance of running Docker container management systems on resource-constrained machines such as the Raspberry Pi. We propose methods to reduce the overhead of management and migration depending on the workload type.
HUSK: High-level Network Feature Utility for Security-based Kernel
Shaunak mashalkar, dillon leigh.
In network security operations, real-time analysis is highly intensive and often requires dedicated hardware. Typically, raw network data must be transferred from low-level switching mechanisms to extract more helpful information. Thus, the truly responsive security analysis is gate-kept to commercial and research settings capable of affording the proper infrastructure. We propose HUSK, a system that moves processing technology to the kernel level, thereby considerably speeding up real-time network analysis and lowering the barrier of entry for network analysis.
Deep Packet Inspection on Edge Devices using DPDK
Jordan mortif, kade harmon.
The number of Internet of Things (IoT) devices connected to enterprise and home networks has increased drastically. Given the prevalence of IoT devices worldwide, the tools used to measure such devices do not scale with the current rate of IoT growth. The Data Plane Development Kit (DPDK), initially developed by Intel, offloads packet processing from the operating system. We utilize DPDK and propose a feature collection system to collect and analyze packet data in real-time and reduced overhead. Additionally, developers can attach their analysis engines directly onto the feature collection engine through a simple programming interface.
CentriFi: A Centralized Wireless Access Point Management Platform
Andreas anderhub, zac wilson.
With the ubiquity of wireless end-devices, more strain is placed on standard network deployment architectures. Mesh networks have started to rise in popularity to meet the needs of modern wireless networks. However, the existing solutions for deploying and centrally configuring mesh networks leave much to be desired, as most are too expensive or cumbersome. This work showcases a solution to this problem, CentriFi—an open-source platform built to run on OpenWrt access points, providing a quick and easy way to set up and configure mesh networks in a central location using the 802.11s standard. CentriFi provides a web-based front-end for configuring the most crucial settings. Further, the system allows for greater expandability by providing a platform in which other configuration feature can be added by the open-source community in the future.
EdgeAP: Enabling Edge Computing on Wireless Access Points
Christopher desiniotis, justin majors, cyrus miremadi.
With the rise of the Internet of Things (IoT) leading to an explosion in the number of internet-connected devices, the current cloud computing paradigm is approaching its limits. Moving data back and forth between its origin and a far-away data center leads to privacy, latency, and energy consumption issues. Edge computing, which instead processes data as close to its origin as possible, offers a promising solution to the pitfalls of cloud computing. Our proof-of-concept edge computing platform, EdgeAP, is a programmable platform for delivering applications on wireless access points. The use cases of the platform will be demonstrated via an example application. Additionally, the viability of edge computing on wireless access points will be thoroughly evaluated.
Drive Health: Road Condition Detection
Peter ferguson, brian walker.
Roadways play an essential role in today's society by contributing to economic growth and development, providing social benefits and fast routes to travel around efficiently. With more and more cars on roads, the quality of the streets is deteriorating faster than before. This decrease in road health contributes to hazards such as potholes and can cause significant damage to vehicles on the road. Currently, improving and monitoring roads' health is done infrequently and is time-consuming for the government. Therefore, many road quality issues are manually reported by the people who drive on them. This requires filling out forms or making phone calls while also remembering the pothole or road hazard location. In this work, we present Drive Health, a system developed to monitor roadways' health and inform the transit authorities of poor road quality. This device also can advise the driver on how to be a safer and more efficient driver. Drive Health includes a smart sensor and performs machine learning on accelerometer data to process and analyze the device without using the cloud. If the system determines the data indicates the existence of a pothole, its location is recorded and sent to a web server.
A Low-Cost and Energy-Ecient Wearable Device For Posture Monitoring
George shappell, ying huang, ali nazemi.
Millions of Americans suffer every year from back problems; now, imagine if there was a way to help track and prevent back problems. Our solution to this problem is PostureBot, a device that will allow its users to correct their back posture and maintain good back posture. In doing so, this device can help elevate and prevent people from developing minor and severe back problems in the future.
SDHome: Securing Fast Home Networks
Christopher batula, holden gordon, tianyi zhao.
Distributed denial of service (DDoS) is a highly discussed network attack in Software Defined Networks. Attacks such as the Mirai Botnet threaten to compromise a portion of large networks, including home users. Today, corporations secure their network using enterprise-level software to protect their network from DDoS attacks. But their solutions are meant for large networks and depend on expensive hardware. There are few security solutions for home users, and most are expensive or require a subscription for complete protection. We propose a new solution in the form of a plug-and-play device that will allow home users to control their network easily. We will be using the SDN controller Faucet and the protocol OpenFlow 1.3 to enable software-defined functionalities. In addition to more basic network features such as blocking websites, the device will allow users to receive notifications about possible malicious activities on their network, generate device profiles for all devices on the network, and automatically detect and mitigate flooding attacks using a random forest classifier. We implement our network virtually using Graphic Network Simulator 3.
LeaPi: Wireless Diagnostic Assistant
Jeff collins, austin iverson, collin seaman, joseph sindelar.
Nearly every person who uses WiFi on a daily basis has had trouble with a bad connection. Wireless connectivity issues are often difficult to diagnose and fix. Current solutions such as wired extenders and Mesh WiFi commercial packages are expensive, and they do not provide the user with a system that suggests placement of mesh units to maximize coverage. Our solution is an inexpensive and open-source diagnostic tool that maps out WiFi quality and informs the user about interference. With a simple, meaningful display, users will find trouble spots in their house, diagnose why IoT devices are not working, effectively place WiFi extenders and mesh nodes, and more.
ACAS: Always Connected, Always Secure
Blaise aranador, antonio gigliotti, shining liu.
There is no place where safety is more important than in the home. Research has shown that home security systems effectively deter burglars; additionally, these security systems allow residents to monitor their property at all times, even while they are away. More and more of these home security devices rely on a stable Internet connection and cannot provide functionality without it. ACAS is a system that helps keep smart devices connected to the Internet, even during a home internet outage. ACAS includes a programmable router that can connect to multiple Internet sources, setting it apart from other routers. ACAS can connect to two or more Internet sources at a time and then broadcast a wireless Internet signal that one's smart security devices (and any other device) can connect to it. The router uses one Internet source at a time to provide a wireless signal for all devices to connect to it. Still, if the Internet source goes down for any reason, ACAS automatically switches to one of the other Internet sources connected to it. This provides a reliable backup and keeps devices connected to the Internet as long as one of the multiple Internet sources connected to the router is up and running. Our system also includes a web application that can configure some aspects of the router and obtain up-to-date statistics about the router's operation. Users can check the network speed of the Internet connection and choose which of the multiple Internet sources is the primary Internet source at any given time.
Distributed Firewall for IoT
Ryan lund, anthony fenzl, chelsea villanueva.
Minimal local resources, lack of consistency in low-level protocols, and market pressures contribute to IoT devices being more vulnerable than traditional computing devices. These devices have various processors and implementations, but they often serve different purposes and generate unique network traffic. Current IoT network security solutions fail to account for and handle both the scale at which IoT devices can be deployed and the heterogeneous nature of the traffic they produce. To accommodate these differences and improve current solutions, we propose implementing a micro-segmented firewall for IoT networks. Unlike traditional micro-segmented architectures, which use a virtual management layer and hypervisors to manage, route, and filter the traffic from VMs, we propose using a cloud-based management layer working in cooperation with fog node filters to manage end devices' traffic. The fog nodes act as the first hop from the IoT devices, filtering traffic according to the rules given to them by the management layer. This decreases packet filtering latency by distributing the computing load and limiting the number of hops packets make for processing. Meanwhile, having a singular management point gives network administrators the convenience of controlling all traffic flows at a moment's notice, as would be the case in a traditional SDN. As a result, this architecture promotes both the adaptability and scalability needed in IoT networks, all while securing traffic flows and minimizing latency.
Flomosys: A Flood Monitoring System
The expansion of the Internet of Things (IoT) has led to numerous innovations in the industry, including improvements to existing systems. Disaster prevention and monitoring systems are prime examples of such systems. Every year, there are significant and preventable financial losses, not to mention the safety hazards caused by floods. To warn people ahead of time, it is possible to deploy low-power wireless sensor nodes to send readings collected across the terrain to a cloud platform, performing pattern analysis, predicting, and alert forwarding to anyone's cellular device. We propose Flomosys, a low-cost, low-power, secure, scalable, reliable, and extensible IoT system for monitoring creek and river water levels. Although there are multiple competing solutions to help mitigate this problem, Flomosys fills a niche not covered by existing solutions. Flomosys can be built inexpensively with off-the-shelf components and scales across vast territories at a low cost per sensor node. This work presents the design and implementation of Flomosys as well as real-world test results.
WASP: Wireless Analog Sensor Platform
Cole hunter, daniel webber, tyler hack.
WASP aims to augment and eventually replace the bulky, costly, and complex data acquisition systems used for vibrational reliability tests on satellites. As a mechanism to guarantee that a spacecraft is mechanically durable and robust enough to withstand the acceleration forces experienced on the vessel during launch, companies conduct vibrational experiments on their spacecraft by subjecting them to high G-force events. Using wired accelerometers connected to obstructive cables, the mounting process and test setups required to perform such experiments are expensive, laborious, and can generate measurement inaccuracies. We developed a low-cost, battery-powered module designed for engineers to replace the current sensors and data acquisition systems with a wireless solution. This will enable precise testing of conditions on a smaller time frame and at a lower cost and help eliminate the disadvantages of a wired system. A custom circuit board has been fabricated containing the critical measurement and processing components required to realize this objective and a complete software solution to facilitate the data transmission to a wireless router over WiFi.
Synergy: An Energy Monitoring and Visualization System
Sarah johnson, pearce ropion.
The key to becoming a more sustainable society is first learning to take responsibility for the role we play in energy consumption. Real-time energy usage gives energy consumers a sense of responsibility over what they can do to accomplish a much larger goal for the planet, and practically speaking, what they can do to lower the cost to their wallets. Synergy is an energy monitoring and visualization system that enables users to gather information about the energy consumption in a building – small or large – and display that data for the user in real-time. The gathered energy usage data is processed on the edge before being stored in the cloud. The two main benefits of edge processing are issuing electricity hazard warnings immediately and preserving user privacy. In addition to being a scalable solution that intended for use in individual households, commercial offices and city power grids, Synergy is open-source so that it can be implemented more widely. This paper contains a system overview as well as initial finding based on the data collected by Synergy before assessing the impact the system can have on society.
Smart Office Assistant for University Professors
Ben brown, francesco petrini, alfredo sepulveda.
We present an efficient multipurpose system to enable professors to help students meet with them outside of class. Currently, should a student wish to schedule a meeting with a professor, they often have to initiate a long string of emails until a final date and time can be agreed upon. Additionally, professors have no way to broadcast messages to people visiting their office or take messages from those individuals should a professor be absent. Our solution aims to fix these issues through the use of several low-power, budget-friendly devices. Our platform includes a touchscreen powered by a Raspberry Pi 3, which displays the professor’s public calendar and announcements. Additionally, a camera is used to perform face recognition to map students to the accounts they create to interface with the system. Finally, we created a mobile app that will allow students and professors to communicate quickly in a way that abstracts their phone numbers.
NavSense: A Navigation Tool for Visually Impaired
John ryan, daniel okazaki, michael dallow.
The visually impaired rely heavily on hearing and touching (with their cane) to navigate through life. These senses cannot make up for vision loss when identifying objects in the user's path. This project proposes NavSense, an assistive device that supplements existing technology to improve navigation and peace of mind in day-to-day life. NavSense provides real-time object identification and context to the user through auditory feedback. The device reduces inference time by 50% without significant power consumption increases. We plan to continue testing on different platforms to improve the device's power consumption further.
Smart Doorbell System for the Hearing Impaired
Shannen edwin, dominic magdaluyo.
Doorbell options for hearing-impaired individuals are seriously limited. Affordable solutions are not scalable, while other solutions are expensive. With this in mind, we designed a scalable and affordable system that will benefit hearing-impaired individuals by informing them regarding doorbells. Due to the scope of the project, we only designed a proof of concept, hoping that a company can create a viable product that will benefit hearing-impaired individuals and bring a powerful IoT system to the homes of others.
Top Level Mesh
Tristen islam, matt jasaitis.
We have built a web-based system for mesh network management. This system allows network utilities to be used from a web-based interface to monitor and manage data transfer. The system runs primarily on Raspberry Pis using Raspbian Linux. Users can access the system through web browsers to configure the system and interact with the data on the network. We discuss our motivation for the project, design decisions made, technologies used, and more throughout this report. We conclude with some lessons learned and future work to be done.
TrippIt: Optimal Itinerary Generator
Andrew nguyen, osama shoubber.
Travelers often lose interest and joy when traveling in tourist-packed areas around the world. As more restaurants and attractions open up in popular cities, the wait and travel time from one location to another inevitably increases. Each attraction has certain hours throughout the day where visitors surge and the wait times increase. In addition, traffic and travel time are important factors to consider when looking to optimize one's trip. However, it isn't easy to calculate and consider the most optimal routes and times an individual should visit each possible attraction with large attractions. Travelers ultimately face an issue with maximizing productivity for their trips. Our goal is to create a mobile application that utilizes the Google Directions API and Foursquare API data to produce an optimal itinerary for travelers to use. Travelers will be able to input their place of stay, attractions they want to visit at their preferred times, and other time constraints to produce an itinerary that will allow the tourist to visit each attraction they please. The Optimal Itinerary Generator will eliminate blind spots in travel planning and, as a result, make vacation trips more time efficient and enjoyable.
Low-Cost and Energy-Efficient Platform forUnsupervised Parkinson’s Disease Assessmen
Alexander adranly, senbao lu, yousef zoumot.
Parkinson's Disease (PD) is a progressive neurological disease that affects 6.2 million people worldwide. The most prevalent clinical method to measure PD tremor severity is a standardized test called the Unified Parkinson's Disease Rating Scale (UPDRS), performed subjectively by a medical professional. Due to infrequent checkups and the human error introduced into the process, treatment is not optimally adjusted for PD patients. According to a recent review, there are two devices recommended to quantify PD symptom severity objectively. Both devices record a patient's tremors using inertial measurement units (IMUs). One is not currently available for over-the-counter purchases, as they are currently undergoing clinical trials. It has also been used in studies to evaluate UPDRS scoring in home environments using an Android application to drive the tests. The other device is an accessible product used by researchers to design home monitoring systems for PD tremors at home. Unfortunately, this product includes only the sensor and requires technical expertise and resources to set up the system. This project proposes a low-cost and energy-efficient hybrid system that monitors a patient's daily actions to quantify hand and finger tremors based on relevant UPDRS tests using IMUs and surface Electromyography (sEMG). This device can operate in a home or hospital environment and reduces the cost of evaluating UPDRS scores from patients' and clinicians' perspectives. The system consists of a wearable device that collects data and wirelessly communicates with a local server that performs data analysis. The system does not require any choreographed actions, so that there is no need for the user to follow any unwieldy peripheral. To avoid frequent battery replacement, we employ low-power wireless technology and optimize the software for energy efficiency. Each collected signal is filtered for motion classification, where the system determines the analysis methods best fit each period of signals. The corresponding UPDRS algorithms are then used to analyze the signals and give a score to the patient. We explore six different machine learning algorithms to classify a patient's actions into appropriate UPDRS tests. To verify the platform's usability, we conducted several tests. We measured the accuracy of our main sensors by comparing them with a medically approved industry device. Our device and the industry device show similar measurements with errors acceptable for the significant difference in cost. We tested the lifetime of the device to be 15.16 hours minimum assuming the device is constantly on. Our filters work reliably, demonstrating a high level of similarity to the expected data. Finally, the device is run through an end-to-end sequence, where we show that the platform can collect data and produce a score estimate for the medical professionals.
Halo: A Portable and Low-Power Air Quality Monitor
Benjamin lampe, taylor mau, samantha morehead, naeem turner-bandele.
Urban air pollution leads to widespread respiratory illness and millions of deaths annually. PM2.5, particulate matter with a diameter less than 2.5 micrometers, is the product of many common combustion reactions and poses a severe health risk. Its small size allows it to penetrate deep into the lungs and enter the bloodstream. Existing air quality monitors are aimed at scientific research, differentiating between pollutants, and providing high measurement accuracy. These devices are prohibitively expensive and cannot easily be carried around. Due to the highly localized nature of air pollution and to allow individuals and institutions to monitor their real-time exposure to PM2.5 easily, we propose Halo, an air quality monitor costing less than $100. Halo is powered by a 500 mW solar panel and equipped with a 1500 mAh Lithium-Ion battery to handle 150 mW peak power consumption and operate continuously for over 24 hours without power input. The device is small enough to be clipped to a backpack or bag for easy portability, and it can be used in personal or public settings. Using an IR emitter and detector, Halo measures reflected IR light to determine the particulate concentration in the air with an error of less than 10%. It uses Bluetooth Low Energy (BLE) to communicate these values to a user’s phone. From the phone, air data can be time-stamped, stored in a cloud database, and visualized in an app for easy monitoring of pollution trends and pollution exposure. Additionally, the cloud database allows for aggregating data from multiple devices to create crowdsourced pollution maps. These maps can pinpoint areas with awful air quality to try to make changes to these areas or help users avoid these areas if possible.
Energy Conservation of Buildings using IoT Devices
Jun chang, darence lim, tracy sun.
Buildings such as apartment complexes and high-rises consume large amounts of energy, with commercial buildings wasting, on average, 30% of the energy that they consume. This issue leads to drastic consequences such as an increase in carbon footprint and high energy costs. We create a solution that decreases energy consumption and cost. Our project achieves this goal with a scalable and personalized smart home system that caters to individual users’ needs while conserving energy on a large scale. Our solution, SmartSys, cuts energy consumption and energy costs through interaction with IoT devices, an architecture that includes a combination of database-centric and event-driven data flows, and various technologies, including sensors and machine learning. As a result of single room testing, we estimate that SmartSys will help individual users save over $1000 over 20 years and save a city with 20 apartment complexes over 150 million kWh after 20 years. For future work, we hope to decrease the fixed cost of SmartSys to make our solution have an even more significant impact on energy cost savings while maintaining its energy-saving performance. In addition, we hope to engage in multiple room testing and scale SmartSys to function throughout a large building.
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Fall 2022 Best Project Winner:
Fram_crawler - in-pipe crawler integration design, industry supporter:.
Team 01: Machine Chip Disposal System · Team 02: Deformable surgical needle · Team 03: Novel In Vivo Camera System to Assess Obstructive Sleep Apnea · Team
Project Examples · Sky High Energy Harvesting · Energy Harvesting · Boeing Green Sky Thinking · GPU Based Image Processing Real-Time JPEG Codec · Automated
Probably larger volume, lower cost product than yard decorations. How about a “large” MSU sign that flashes M S U and plays the fight song? A Christmas ornament
Civil and Environmental Undergraduate Senior Design Projects. Fall Semester 2022 · Spring Semester 2022 · Fall Semester 2021 · Spring Semester 2021.
Hydraulic bike for the Fluid Power Vehicle Challenge · Compact and Efficient Fluid Power Competition: Additive manufactured excavator cab · Shell Eco-Marathon
Senior design projects give students the opportunity to learn about professional practice as they apply their knowledge of industrial engineering to
Please click the table headers below to sort the table. ; 1, 6D Helmet, Motorcycle Helmet Aerodynamics Optimization ; 2, Aerospace Corp, CubeSat Deorbiting
Biomedical Engineering Senior Projects · BME Team 1: Garrison Gauge 3D · BME Team 2: AVRA Micro-Needling End Effector · BME Team 3: Wearable Transdermal Isoflurane
Drone-based Wireless Communications for Disaster Recovery · Enhanced Sensing Methods for UAV-Based Disaster Recovery · Jamming Attack Workaround Study · Seamless
Senior Design Projects. Upcoming Projects: ... Fall 2022 Best Project Winner: FRAM_CRAWLER - In-Pipe Crawler Integration Design. Industry Supporter:.