暗网禁区破解版

MEMBERS: Shoaib Cheema, Umair Altaf

DEPARTMENTS: Aerospace, Computer Science

Chefmate is an AI-powered mobile application that helps users discover personalized recipes based on their dietary preferences and available ingredients. The app allows users to browse recipes by category (e.g., appetizers, main courses, desserts), save favorites, and get tailored recommendations through an AI-driven algorithm. It also features an OpenAI-powered chatbot that provides real-time cooking advice, acting as a virtual chef. The app supports a variety of dietary needs, such as vegetarian, meat-based, gluten-free, and diet-friendly options.

The app will be developed using Kotlin for Android, with Google Firebase for authentication and data management. Figma will be used for the UI/UX design, ensuring a user-friendly interface. The goal of Chefmate is to make cooking more accessible, personalized, and interactive for users

MEMBERS: Emma Morgan, John Dugan, Zachary Howard, Zane Shouse

DEPARTMENTS: Applied Computing, Applied Engineering/Engineering Technology, Entrepreneurship

ADVISOR: Dr. Gary Brooking

SPONSOR: Tanganyika Wildlife Park

With over 400 zoos in the United States, automation will be a key factor in improving visitor experiences. Our automated feeder will allow guests to use their cards to purchase various feed for different animals. This machine will also improve refill time, generate cost savings, and provide overall better customer satisfaction.    

Throughout this project the NatureNEXT team incorporated the Lean-Six Sigma DMAIC approach to guide the project to completion. The DMAIC approach is broken down into 5 phases; define, measure, analyze, improve, and control. The initial phases involved numerous interviews which were later analyzed to guide the team to the root of the problem that needed solved. After the key problems were identified, NatureNEXT moved on to designing a prototype. After discussions with the project sponsor improvements were made to better meet the goals of the customer.  

The result of the project is an improved food dispenser that has benefits for the customers and employees maintaining the feeders. Benefits for customers include accessibility for disabled persons and accessible to more people due to the added card reader. For employees maintaining the machines, they will no longer need to take the machines apart to get to the coins and have easy access to refill the machines to decrease refill time.

NatureNEXT aims to bring animal food dispensers out of the dark ages and into the light with our upgraded design. A design that adds benefits to both the customer and employees. 

MEMBERS: Spencer Russell, Tim Nguyen, Jacob Smith

DEPARTMENTS: Applied Computing, Computer Science

ADVISOR: Dr. Huabo Lu, Jake Stoughton

SPONSOR: Ametek PDS Wichita KS

Warehouse inventory systems are often plagued by inefficiencies caused by disorganization, duplicate item entries, and a lack of centralized tracking. Our project, the Digital Inventory Management System (IMS), directly addresses these challenges by delivering a scalable, intuitive, and real-time solution tailored for industrial use. In partnership with AMETEK PDS, our team developed a web-based platform that allows warehouse employees and managers to add, update, track, and search inventory seamlessly through a responsive user interface and structured backend database. At the core of our system is a SQL-based backend connected to a React.js frontend through a RESTful API built with Node.js and Express. One key feature is our duplicate item prevention, which ensures inventory accuracy by uniquely identifying entries using mapping and validation logic. We鈥檝e also created a lightweight transaction logging system that exports all changes to a to-be-determined file format, eliminating the need for a traditional email alert system. Our prototype has undergone continuous refinement based on sponsor feedback, with an emphasis on user accessibility, data integrity, and system scalability. User testing has helped us refine the search functionality and improve the user interface for clearer and faster access to inventory data. Our solution demonstrates not only technical capability but also adaptability to real-world needs in dynamic environments. Future enhancements include expanded role-based access, improved transaction history interfaces, and deployment at scale across multiple warehouse locations. With this system, we aim to significantly improve efficiency, reduce ordering errors, and modernize warehouse operations.

MEMBERS: Josiah Farney, Dominic Annuschat, Akmalirfan Azizi, Alexia Williams

DEPARTMENTS: Applied Computing, Electrical & Computer Engineering, Applied Engineering/Engineering Technology, Entrepreneurship

ADVISOR: Dr. Gary Brooking

SPONSOR: Tanganyika, Wichita Kansas

At Tanganyika, a missed latch on a big cat enclosure could lead to serious danger. Currently, safety relies on manual checks of padlocks, but human error is a constant risk. In  2017, zookeeper Rosa King tragically lost her life after being mauled by a tiger due to an enclosure gate being left unsecured. This accident highlights the critical need for fail-safe  systems in zoos because even a small oversight can lead to serious consequences. Tanganyika wants to incorporate a modular magnetic latch system that will automatically check for these locked doors to mitigate human error and prevent the danger of the big cat. The four needed parts of the solution are an auto-locking system, an auto-checking system, a way to show the status of the cages, and a way to unlock the cage to enter and move the big cats around. The proposed solution for all these needs is to use solenoid pistons connected to a hardwired logic board, in junction with an RFID scanner and an Arduino nano. The logic board deals with the cage status and control and the nano will deal with interpreting the card information and go/no go signal. This will improve the safety and convenience of the zookeepers at Tanganyika. This will be implemented at Tanganyika but also has the potential to be implemented in zoos around the country. This is an initial prototype and could become more efficient but has the potential to revolutionize the zoo-keeping world.

MEMBERS: Jkobe Williams, John Henderson, Addison Manzoor, Joshua See

DEPARTMENTS: Applied Computing, Entrepreneurship

ADVISOR: Joe Jabara

Dragon-WiFli is a discreet Wi-Fi auditing device built into a 3D-printed coffee mug using a Raspberry Pi Zero 2 W. Designed for offensive security teams, it passively captures wireless traffic to help businesses identify vulnerabilities in their networks. Running Kali Linux with penetration testing tools, it offers stealth, portability, and real-world usability, making it ideal for internal red team assessments and wireless security testing.

MEMBERS: Jacob Klausmeyer, Uchechukwu Chikezie, Yoel Woldeyes, Nathaniel Reimer, Connor Pore 

DEPARTMENTS: Applied Computing, Entrepreneurship

ADVISOR: Joe Jabara

SPONSOR: Tanganyika, Wichita Kansas

In an era where cyber threats are advancing rapidly, USB devices remain a deceptively simple yet potent means of attack. A single careless action by an employee鈥攕uch as plugging in an unknown USB鈥攃an lead to serious data breaches, financial loss, and organizational disruption. PortSentry addresses this vulnerability by transforming a common threat into a proactive training and assessment tool. Our system uses custom Raspberry Pi Pico-based USB devices to emulate real-world attack scenarios and collect key behavioral and system metrics, including timestamps, OS versions, USB serial numbers, and user interaction data. These data points are then analyzed and visualized through the Elasticsearch, Logstash and Kibana (ELK Stack) to assess security awareness and identify risky behaviors. PortSentry helps organizations identify risky behaviors, monitor security awareness trends, and implement targeted cybersecurity training. Further testing will be conducted in a controlled environment to evaluate the device鈥檚 functionality, reliability, and data collection accuracy. Simulated interactions allows us to confirm successful HID emulation, consistent data capture, and real-time ingestion into the ELK pipeline. Though not yet deployed organization-wide, these preliminary tests demonstrate PortSentry鈥檚 viability as a low-cost, scalable solution for USB security awareness training. It bridges the gap between passive cybersecurity training and hands-on user interaction by providing actionable data in a controlled, risk-free environment. By simulating an attack on a business and analyzing user responses, PortSentry empowers organizations to proactively address USB security risks in a way that educates employees on a tangible level and thus prepares for real-world cyber threats.

MEMBERS: Oliver Harrison, Fernando Martinez

DEPARTMENTS: Applied Engineering/Engineering Technology

ADVISOR: Dr. Gary Brooking

SPONSOR: NIAR

The start of many automation processes begins with placing the work piece or material in the right orientation. Our senior design project aims to improve the process of this action. This project will serve as a functional demonstration for the NIAR ARC lab to showcase what can be done in-house. This is a demonstration cell to show how vison sensors in collaboration with a robtic arm and linear actuator can accurately and efficiently find the overlap of a steel culvert. Our first step will be to train the vision sensor where the overlap is located based on its appearance in different light settings. Once the sensor is trained, we will work on programing our linear actuator to move the culvert near the robot.  The robot will then recive the code and point to the location of the seam in the material. This process could be used in many cells to start further automated processing. The interactive cell will be able to identify the seam each time despite its many potential placements. The robot is functional without any human aid and is a visible process to any audience. This demonstration will entice vistors of wichita state by exhibiting the possibilities this project allows. This, in turn, could help recruit students and/or staff for Wichita State and NIAR.

MEMBERS: Haylee Thurman, Megan Watkins, Kaitlyn Myers, Lauren Bulcroft

DEPARTMENTS: Applied Engineering/Engineering Technology

ADVISOR: Dr. Gary Brooking

SPONSOR: NIAR

Smart Supply is working to optimize production lines through the automatization of transport between the warehouse and the worker. The current process of locating and transporting necessary parts from the warehouse to the factory line is time-consuming and inefficient. Working with Deloitte鈥檚 Smart Factory on Wichita State University鈥檚 (暗网禁区破解版) campus, Smart Supply is integrating their current Mobile Industrial Robots (MiR) for new purposes. This MiR will be used along with a Universal Robot (UR) provided by The National Institute of Aviation Research (NIAR). By using the Smart Factory鈥檚 MiR, Smart Supply will employ existing components while repurposing their current MiR to create a new and more efficient solution. The UR will be placed onto the MiR to pick up the requested parts and place onto an additional waiting conveyor which will connect with the Smart Factory鈥檚 existing production line. This collaboration of robots will effectively deliver products to and from the warehouse and working line, resulting in minimal delays. Before the Root Cause Analysis (RCA), Smart Supply estimated the production for the Smart Factory to be 150 parts per month, falling short of The Smart Factory鈥檚 goals. Through model-scale simulation and pilot testing of the new solution, a reduction in machine downtime is projected, leading to an increase in the Smart Factory鈥檚 production to 200 parts per month once implemented in the coming months. Overall, Smart Supply鈥檚 solution increases manufacturing capabilities and eliminates non-value add tasks the workers have to complete, decreasing waste in the form of time and product.

 

MEMBERS: Maite Menendez, Grayson Graham, Hung Nguyen, Ainsley Altenbern

DEPARTMENTS: Applied Engineering/Engineering Technology, Entrepreneurship

ADVISOR: Nathan Smith

3-Axis 3D Printers have been around for over a decade and have become easy to use. However, there are limiting factors when printing structural parts on a 3-axis printer. The shear strength between layers is significantly weaker than the material strength.  5-axis printers can bridge that gap by being able to lay material in more than two directions. VAXIS aims to bring an affordable 5-axis 3D printer to the market, allowing more people to create stronger parts with more intricate designs. Furthermore, a 5-axis 3D printer can create parts with less support, allowing users to save on material usage. 
By utilizing proven designs from current CNC routers, as well as proven parts on existing 3D printers, our solution is adding everything together and including a rotary table. With this design, VAXIS would be able to reduce manufacturing costs and offer a 3D printer at a price never seen before. The overall goal is to bring expensive and uncommon technology to the largest group of manufacturers. 
This 3D printer plans to bridge the gap between expensive, industrial grade additive manufacturing and consumer grade FDM printing. With the ability to create stronger complex geometries, VAXIS wants to unlock new creative possibilities for hobbyists and small-scale innovators. 

MEMBERS: Michael Zalewski, Wiley Hutcheson, Jose Lerma

DEPARTMENTS: Applied Engineering/Engineering Technology, Other

ADVISOR: Dr. Gary Brooking

Industrial robotic automation faces a persistent challenge, robotic singularities, which occur when multi-axis joints align causing loss of accuracy, mechanical wear, and complicates programming. Traditional solutions rely on joint movement pathing, which reduces accuracy and delays deployment. Nerve Robotics introduces an innovative neural network-based control system that eliminates singularities, optimizing motion paths for 
seamless robotic automation. Unlike conventional kinematic control methods, neural networks dynamically adapt to positional data, ensuring accurate and efficient movement. Similar to human motion, the system continuously adjusts joint values without the need for complex calculations. Once trained the path can be reliably reproduced. Integrated as a custom add-in for ABB鈥檚 RobotStudio, this allows for compatibility with all of ABB鈥檚 robotic arms and seamlessly integrates into programmer's workflow. Customers benefit from reduced programming time, improved efficiency, and minimized mechanical wear, resulting in lower operational costs.

Preliminary testing demonstrates significant improvements in motion path reliability, reducing programming time by an estimated 20% and mitigating downtime due to singularities. The scalable model allows businesses to pay based on computational usage, providing a cost-effective automation enhancement. With the industrial robotics market expanding, the adoption of intelligent, adaptable control solutions presents a competitive 
advantage.

Future development aims to refine neural network efficiency and expand compatibility across different robotic platforms. By eliminating singularities, this technology redefines robotic automation, ensuring a smarter, more efficient future.

 

MEMBERS: Clayton Short, Cooper Larsen, Dinh Thanh Lam Nguyen, Kevin Russell

DEPARTMENTS: Applied Engineering/Engineering Technology, Other

ADVISOR: Dr. Adam Lynch

SPONSOR: AMETEK PDS

A productive, efficient and cost-effective manufacturing process is essential for any company to be profitable. A local company鈥檚 actuator department has had issues in being able to meet their monthly quotas without having to utilize overtime hours for their workers near the end of each month. Our team used lean tools as well as operational management tools to identify areas where the team can improve the efficiency of the assembly process which will increase productivity, improve quality, and ultimately increase profits. Witnessing the build process of one of their actuators we were able to apply our tools to build a workflow process and identify changes to increase productivity. The particular actuator is the most built actuator by their department and its increased build efficiency is the first step towards their department reliably completing their monthly quotas. Our project also lays out a process that if applied to other areas of the local company鈥檚 manufacturing processes, would further improve the department to their efficiency expectations and possibly exceed those expectations.

 

MEMBERS: Cameron Schwartz, Natalie Zahn, Ryotaro Ito

DEPARTMENTS: Biomedical, Entrepreneurship

ADVISOR: Dr. Kim Cluff

Plagiocephaly, specifically positional plagiocephaly, has increased since the 鈥淏ack-to-Sleep鈥� campaign of the 90s.  We are re-designing an infant mattress to prevent the development of positional plagiocephaly. The mattress will have removable foam blocks with divots of different sizes to allow the head to grow into a normal shape while being sleep safe.

MEMBERS: Uriah Sanchez, Alana Cahill, Mana Balaji, NaMari Moss, Paul Kovacs

DEPARTMENTS: Biomedical, Other

ADVISOR: Dr. Kim Cluff

Emergency code scenarios are busy situations. In this high-stake and noisy environment, any number of things can be happening. For example, CPR is a commonly used technique that must be applied on the patient every second, generating a lot of motion and noise. Monitors can be blaring, and alerts can be contributing to the stressful scenario. Particularly, doctors and nurses can be trying to communicate with each other, but might not be able to catch everything the other is saying due to all the noise. Currently, a medical scribe is being used within these scenarios to note what is happening during a code response; however, the combination of all these factors makes it exceedingly difficult to accurately and reliably document everything that is going on and when they all take place. Our device, NoteBox, is designed to solve this issue. NoteBox can be placed anywhere on a code cart, a patient鈥檚 room, or the cab of an ambulance and is configured to take detailed, time-stamped notes on what was said during a medical emergency. NoteBox is capable of spotting high-risk instances of miscommunication by comparing what was said by one member of a team and noting substantial differences from what was said by another team member around that same time. Additionally, NoteBox allows one more medical professional to be available to respond quickly to the scenario, contributing their medical expertise towards the needs of the patient instead of focusing solely on generating a report.

MEMBERS: Ever Villalobos, William Kreiser, Reid Hopkins, Waleed Qaki

DEPARTMENTS: Computer Science, Applied Engineering/Engineering Technology

ADVISOR: Dr. Kara McClusky

SPONSOR: Augusta Wastewater Treatment Plant

This project aims to conduct a comprehensive energy assessment and cybersecurity analysis of the wastewater treatment plant in Augusta, KS. Through a detailed investigation, the project will identify opportunities for energy efficiency, carbon reduction, overall sustainability improvement, and cybersecurity analysis.

MEMBERS: Mustafa Jamshidi, Minh Tri Bui, Kyle Liu

DEPARTMENTS: Computer Science, Electrical & Computer Engineering

Dino aims to revolutionize how students approach healthy eating by providing AI-powered meal tracking and personalized recommendations. With a well-defined development plan, a strong team, and a competitive yet unique feature set, this project has the potential to become a valuable tool for students striving to maintain a nutritious lifestyle.

MEMBERS: Alexander Asmussen, Natasha Seneviratne, Fawaz Ahmed, Louis Luna

DEPARTMENTS: Computer Science, Entrepreneurship

ADVISOR: Huabo Lu

There is a wide array of genre鈥檚 that a given person listens to on a daily basis, but there is one primary genre used for studying and relaxation, this genre is lofi. Lofi is categorized by a smooth, often slowed beat accompanied by softer instrumentals often overlayed with effects such as reverb. The issue is that users want songs they are familiar with when listening to lofi, which is what Lofi Lab aims to achieve by converting any song to a lofi style. Lofi Lab focuses on the conversion of any music genre into a lofi version using Python, incorporating the pydub library and ffmpeg for processing. Applying various filters, splitting the audio for individual track processing, overlaying drum tracks, and incorporating reverb effects, the music will transform a standard audio track to a high- quality modified song. To achieve this, Lofi Lab employs signal processing techniques such as low-pass and high- pass filtering along with bpm detection and adjustment. The audio processing is enough for anyone to take any song and start converting it into a lofi sound. It properly applies its filters, splits the audio into separate tracks, and identifies and changes the bpm of the song to the users desired speed. Lofi Lab contributes to the music realm by offering an accessible, open-source tool for music enthusiasts and students who listen to lofi. The application is hosted as a web application, allowing users to upload and reshape audio files seamlessly.

 

MEMBERS: Divy Patel, McGillivray Aidan, Lawson Gilreath

DEPARTMENTS: Computer Science,Entrepreneurship

ADVISOR: Dr. Huabo Lu 

Our project aims to create a robust framework for autonomous swarming drones that will communicate with each other, gather data from the surrounding environment, and perform the task at hand, accomplishing it within the given constraints. The achievable goal we are trying to reach by the end of the project is that the drones will be able to carry payloads of up to ~250g and accomplish goals assigned to the swarm by a user via a special ground node created specifically for the drone swarm. The framework will make use of current algorithms, implemented in novel ways on an embedded platform. One of the main goals of the project is to encourage so-called 鈥渆mergent behavior鈥�, where through a set of simple goals a more complex task is achieved.  An easy to imagine example of this is a single drone in the network being tasked with making a delivery far away.  If the drone were to fly and make the delivery, the drone would fly out of range of the network.  However, if in addition to the drone had that distant delivery goal, all drones in the network had an underlying higher-priority goal to preserve the integrity of the network, then as the delivery drone.

MEMBERS: Jacob Klausmeyer, Uchechukwu Chikezie, Nathaniel Reimer, Connor Pore, Yoel Woldeyes

DEPARTMENTS: Computer Science, Entrepreneurship

ADVISOR: Joe Jabara

In an era where cyber threats are advancing rapidly, USB devices remain a deceptively simple yet potent means of attack. A single careless action by an employee鈥攕uch as plugging in an unknown USB鈥攃an lead to serious data breaches, financial loss, and organizational disruption. PortSentry addresses this vulnerability by transforming a common threat into a proactive training and assessment tool. Our system uses custom Raspberry Pi Pico-based USB devices to emulate real-world attack scenarios and collect key behavioral and system metrics, including timestamps, OS versions, USB serial numbers, and user interaction data. These data points are then analyzed and visualized through the  Elasticsearch, Logstash and Kibana (ELK Stack)  to assess security awareness and identify risky behaviors.  PortSentry helps organizations identify risky behaviors, monitor security awareness trends, and implement targeted cybersecurity training. Further testing will be conducted in a controlled environment to evaluate the device鈥檚 functionality, reliability, and data collection accuracy. Simulated interactions allows us to confirm successful HID emulation, consistent data capture, and real-time ingestion into the ELK pipeline. Though not yet deployed organization-wide, these preliminary tests demonstrate PortSentry鈥檚 viability as a low-cost, scalable solution for USB security awareness training. It bridges the gap between passive cybersecurity training and hands-on user interaction by providing actionable data in a controlled, risk-free environment. By simulating an attack on a business and analyzing user responses, PortSentry empowers organizations to proactively address USB security risks in a way that educates employees on a tangible level and thus prepares for real-world cyber threats.