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  In-situ Optical Surface Feature and Temperature Sensing System for Selective Laser Melting (SLM) Technology

  Yujie Yang

  We describe techniques and present results for in-situ monitoring of surface features and temperature that can operate in challenging environments near laser-material interaction locations. The techniques are considered for incorporation into laser material processing systems such as for laser welding or additive manufacturing of metallic parts with powder bed selective laser melting (SLM). Surface characterization is performed using a fiber-based line-scan confocal optical system, where a laser beam is transmitted and received by a fiber whose tip is affixed to a piezoelectric actuator that changes the lateral position of the fiber tip at a rates up to several kilohertz. Characteristics of the power of the received laser light depend on surface properties and can be used to classify surface roughness, for instance with the help of machine learning (neural networks), or to identify anomalies or defects at the surface. The temperature sensing approach uses a similar line-scanning optical system, but in a passive configuration, where the received light is thermal radiation emitted from the surface under test. The line scanning of the receiver fiber tip allows for generation of temperature profiles, for instance in the vicinity of the melt pool in SLM systems.During the SLM process, there are some critical parameters that must be monitored to ensure the quality and integrity of the final part. In-situ surface monitoring and temperature sensing are particularly important. In-situ surface monitoring can detect defects or irregularities as they occur, allowing for immediate corrective action and it can also help to ensure that the part is being built correctly, by verifying that the dimensions and features of the part are within acceptable tolerances. By monitoring the temperature in real-time, operators can adjust the laser power, scan speed, or other process parameters to maintain the optimal temperature range for the specific material being used.

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  Inspirational Women in STEM Stories

  Leah Frost, Alexander Hoffman, Meredith Wall

  There is a significant lack of women within the STEM field, which is a major diversity problem within our society. Many barriers and biases make it difficult for women to thrive within this community, which is why we would like to present stories of historical and inspirational women who broke the mold and made history. This presentation will cover inspirational women, all with different backgrounds, disciplines, and contributions to STEM. We hope that these stories inspire you to promote and embrace diversity within the STEM field.

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  Integrating Fiber Optic Sensors into Composites using Tailored Fiber Placement

  Rachel Crossman

  Creating composites that have material only where it is needed to add strength, while keeping it absent from locations it is not needed, is a huge advantage to reinforcing parts while keeping them light weight. This is the advantage of tailored fiber placement (TFP). However, making these parts not only able to reinforce high stress areas, but also allowing them to detect the changes in stress/ strain in that area as the part moves and shifts, opens the door for a variety of possibilities in composite manufacturing. This project researched the possibility of this through the creation of a beam integrated with LUNA’s fiber optic sensors. Each side of the beam was reinforced with an optimized TFP design and cured with the sensors embedded. Combining the technologies of TFP and fiber optic sensors allow parts not only to be extremely lightweight but give feedback on the stresses they are undergoing to promote better overall structural health.

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  Intelligent Adaptive Control System for Combating Ventilator Induced Lung Injury

  Jason Cahill

  Mechanical ventilation, as a resource for critical care, is a balancing act. Everyday physicians, nurses, and respiratory therapists rely on this life saving intervention to support patients who are too weak or ill to breathe on their own. Unfortunately, structural and physiological damage can easily occur as a result of aggressive or long-term ventilator use. Because of the cardiopulmonary system’s tremendous complexity as well as the innate variability in parameters due to disease, individuality, and time, most critical care ventilators require continual adjustment to avoid these side effects, essentially making the physician the controller. This project proposes a radical step forward in design, a three-part control method that will bring the patient into the loop in an unprecedented way. First, a dynamic inversion controller based on a 148-state model of the cardiopulmonary system. Second, a neural network-based adaptive controller capable of reducing real time deviations between the base controller and the patient. Finally, a gradient based concurrent learning algorithm that optimizes the parameters of the base cardiopulmonary model in real-time, thereby further reducing error associated with long term variations. The complete controller will regulate the patient’s respiration in real time utilizing vital information from existing bedside monitors.

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  Intelligent Algorithms for the Optimization of Rare-Earth Metal Cation Forcefield Parameters

  Aaron Winget

  Molecular simulations can be used to gain a better understanding of the exact mechanisms of many physical and chemical reactions. As such, it is important that these simulations be based on models that are as accurate as possible. Unfortunately, the rare earth series of elements are difficult to model due to many of their forcefield parameters being unknown or otherwise inaccurate. This work explores finding these parameters utilizing intelligent Bayesian optimization. Rather than a linear “guess-and-check” search pattern, Bayesian optimization utilizes parallel search patterns to search many potential points simultaneously. As such, search time is drastically reduced, and the parallel nature of the optimization allows for parameters of different elements to be discovered concurrently.

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  Interfaces between Stretchable and Rigid Electronics

  Zachary Kranz

  Recently, there has been significant interest in the field of stretchable and flexible electronics. While soft electronic substrates and conductors provide new options in the design of flexible electronic systems for power and data traces, there are not many viable flexible analogs for active components, such as diodes, transistors, and Integrated Circuits (ICs). Therefore, it is important to allow soft electronics to connect to more traditional rigid electronics. These connections that interface between soft and rigid electronics are key to enable reliable and durable soft electronic systems. There are two major requirements that must be satisfied by the connections that interface between rigid and soft electronic substrates. First, the interface must reliably conduct power and signals from the soft substrate to the rigid packaging or circuit board, particularly while the soft materials are under strain. Second, is that the interface must mechanically connect the soft substrates and conductors to the rigid materials and traces while undergoing reasonable amounts of strain. Flexible hybrid systems built on commercially available flexible polyimide substrates such as Kapton provide a great solution for flexible electronics, yet bridging the gap to soft, stretchable materials remains a challenge. This poster describes one method for providing both mechanical and electrical connection between rigid and soft electronics.

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  Internet of Things: Automatic Drink Dispenser

  Amer Katardzic

  The automatic drink dispenser is designed to provide the user with a drink at a moments notice through the Internet of Things. The device is connected via Bluetooth, allowing the user to activate the dispenser from close proximity and complete other tasks while the drink is being poured. The container in which the liquid is stored contains an ultrasonic sensor in order to monitor the amount of liquid left and refill the container when needed.

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  Internet of Things (IoT) Based Smart Greenhouse Monitoring System

  M M Shaifur Rahman, Anurag Mallik

  The concept of Internet of things allows us to control and monitor electronic devices over the internet. The Internet of things(IoT) based monitoring system is widely used in various sectors such as remote sensing, remote data logging, and controlling devices over the internet. The IoT based monitoring system enables ease of access and cost effective sensor data logging and monitoring. IoT is changing the way of conventional farming. Environment temperature, humidity, soil moisture plays a crucial role for plants to thrive in farming. This project describes the design and implementation of IoT based smart monitoring system for small scale greenhouse. This system can efficiently monitor a range of greenhouse environmental characteristics to meet the demands for agricultural productivity. The scope of this project includes real-time environmental temperature, relative humidity and soil moisture sensor data logging in the cloud. In addition to that, controlling humidity and heating systems to maintain desired temperature. Cloud based monitoring systems enable users to monitor and operate devices such as humidifiers and heating systems over the internet.

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  IoT Based Humidity and Temperature Monitoring

  Saiprakash Reddy Veeramalla

  Using Internet of Things (IOT), we can control any electronic equipment in homes and industries. Moreover, you can read a data from any sensor and analyse it graphically from anywhere in the world. Here, we can read temperature and humidity data from DHT11 sensor and upload it to a ThingSpeak cloud using Arduino Uno and ESP8266-01 module. Arduino Uno is MCU, it fetch a data of humidity and temperature from DHT11 sensor and Process it and give it to a ESP8266 Module.ESP8266 is a WiFi module, it is one of the leading platform for Internet of Things. It can transfer a data to IOT cloud

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  IoT-based Smart Home Automation System

  Avinash Bhupathiraju

  This project proposes an Internet of Things (IoT)-based smart home automation system that aims to improve the efficiency and convenience of daily household tasks. The system will consist of various interconnected smart devices such as sensors, actuators, and controllers that will be able to communicate with each other and with the user's mobile device through a wireless network.The proposed system will enable the user to remotely monitor and control various aspects of their home, including lighting, temperature, security, and appliances, from their smartphone or tablet. The system will also be equipped with a voice control feature that allows the user to control their devices using voice commands.The project will use various IoT technologies such as Wi-Fi, Bluetooth, and Zigbee to develop a reliable and secure communication network between the devices. The system will also incorporate machine learning algorithms to provide predictive and personalized services based on the user's behavior and preferences.The proposed IoT-based smart home automation system has the potential to significantly improve the quality of life of the users by reducing their energy consumption, enhancing their safety and security, and providing a more convenient and comfortable living environment.

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  IOT based Smart Pot

  Rashmi Ganesh Patil

  Internet of Things (IOT) has made our life very easy with its applications. People like to decorate their houses with plants or want to grow their own organic vegetables and fruits in the backyard. Sometimes we have to go out for few days or in this busy life we leave for the office without watering our favorite plants, in such cases it is hard to keep the plants alive. This proposed “Smart Pot” will help keep our plants healthy and happy. This “Smart Pot” is a self-watering system, which contains Arduino microcontroller to control and sense everything. Various sensors like humidity sensor, temperature sensors, level sensors are used to measure real time soil moisture values. This sensed data is then sent to the cloud through the microcontroller. This smart pot can be controlled online, by watering the plants through motor pump if the moisture in the soil reduced below the marginal value. Such smart pots can help to cultivate smart terrace gardens in our modern society.Keywords: IOT, Arduino, microcontroller.

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  IOT Distance Sensor Alarm

  Lee Magoto

  With the increasing popularity and accessibility of the internet, home security has evolved significantly in recent years. The internet has enabled the development and availability of various smart home security devices and systems that provide advanced security features to homeowners. These devices can be connected to the internet, allowing homeowners to monitor their security systems using their internet-connected devices. This study utilizes an Arduino Uno board to alert the owner if an intruder has come too close to the home. Once the intruder comes within a certain distance to the ultrasonic sensor, an alarm will be displayed to the LCD module screen, alerting the owner. Once tripped, the alarm can only be deactivated by scanning an RFID tag held by the owner.

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  IoT Project: Refrigerator Temperature Monitoring

  Samuel Comune

  This Arduino IoT project aims to monitor the temperature of a refrigerator and freezer and notify the user when the temperature exceeds a certain limit. The system will use temperature sensors in order to read the current temperature of the two and collect the data over time. The data will be transferred to and IoT platform which will then store the data and analyze it to see when the temperature goes over the safe temperature range. When the temperature does go over the limit, the system will send out an alert message through some kind of mobile application. This project can prevent food from spoiling while improving food safety due to the real-time temperature monitoring.

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  IOT Sunrise Sensory Morning Alarm System

  Miles Lockrem

  This project aims to create an automated morning routine that stimulates multiple senses for a more natural and consistent waking. The project will connect to weather tracking applications, and use light sensors, and temperature sensors to simulate nature queues that encourage the user to subconsciously wake up progressively. Some of these nature queues are simulating a sunrise, ambient noise, and temperature control.

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  IoT Thermostat Project

  Ivan Mardovin

  Build a thermostat setup that gets data and shows how your environment has changed throughout the day. The data will be represented in multiple ways and alerts if a drastic change in variables will be shown to the end user. My goal is to understand how my house tries to maintain a temperature with the outside changing throughout the day as our house has very drastic temperature changes.

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  Kinematic Synthesis in the Design of Continuum Robots

  Yucheng Li

  Continuum robots represent a new type of flexible and elastic robot that offers a range of advantages over their rigid-bodied counterparts. Their ability to bend, twist, and stretch similarly to biological organisms makes them ideal for navigating complex and confined environments, adapting to changing shapes and surfaces, and interacting with delicate objects without causing damage. With a diverse range of potential applications, including medical procedures and surgeries, as well as industrial inspection and maintenance, continuum robots are a fascinating area of research and development in robotics. However, the additional complexity introduced by continuum robots has led to a new set of synthesis challenges, specifically regarding their kinematics. Solving the inverse kinematics problem is crucial for enabling precise control and manipulation of these robots, allowing them to achieve the desired location and orientation of the gripper at the end of the robot. To address these challenges, this study seeks to develop advanced models and programming techniques for continuum robots that are capable of matching the near-term designs being considered. Building on the prior research conducted by DIMLab, the research aims to gain a comprehensive understanding of the kinematics of continuum robots, allowing them to be applied in a variety of contexts with greater accuracy and precision.

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  Literature Review on the Effect of Colors on Human Performance: The Integration of Mental Workload Analysis in Human Systems Design in Engineering Management

  Joshua Maltese, Esther Omotola Adeyemi

  Experts have researched how color perception influences the human brain's physiological response when focusing on cognitive tasks. Colors have been linked to a person's subjective alertness and ability to perform well on tasks requiring attention. This suggests that the colors a person is exposed to can impact their mental state and performance in cognitive activities. The color-in-context theory suggests that color meanings and effects are specific to the context, and the same color can have different and even opposite meanings in different contexts. The assessment of mental workload is an essential aspect of measuring workload, and one of the methods used is physiological measurement. The pupil of the eye is known to react to color changes, making it a valuable tool in workload measurement. However, using distinct colors rather than the conventional monochrome display offers a better advantage in monitoring pupil response to changes in color. By utilizing different colors, observing and measuring changes in the pupil's response becomes more accessible, making it a more effective means of monitoring mental workload. The primary aim of this literature review is to gain a comprehensive understanding of the current research on the impact of color on the operators' workload. Based on this understanding, an experiment will be developed using MATB simulation software to test how different colors affect operators' workload. The project aims to advance knowledge in engineering management by understanding the impact of color on operator workload. The results will help develop guidelines for selecting colors in systems and processes involving human operators, leading to optimized performance, reduced errors, and improved safety. Ultimately, the research aims to develop systems better suited to users' needs, improving overall performance and reducing accidents and errors.

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  Making Adafruit Circuit playground Express as a mouse

  Sri Viswa Naga Sai Tejaswi Karimi

  In this project, we are using Adafruit circuit playground express as a mouse. We will show you how to quickly and easily emulate a mouse on an Circuit Playground Express with the help of Circuit python. In this project, we can Simulate mouse clicks with another device,Assistive Technology, Making a mouse jiggler to keep a computer from falling asleep and whatever the actions performed by mouse we can do using Circuit playground express. To do this project, we only need Circuit playground express and USB cable - USB A to Micro-B.

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  Measuring the height of the object

  Tharun Reddy Junnuthula

  In this project, we will measure the height of the object using Circuit Playground Circuit Express. Here Circuit Playground turns into an inclinometer, which is a device that can determine the angle of something relative to the horizontal. To do this we only need a Circuit playground express, 3 3 x AAA Battery Holder, and 3 x AAA Batteries. In this project, we use the accelerometer which is located on the circuit playground. We can see the changes in values when we try to shake or rotate the circuit playground express.

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  Metal Wick Manufacturing for Solar Panel Cooling and Salt-Water Desalination

  Emily Mann

  Thermal control systems are integral to maintaining efficient and reliable solar power panels. A proposed method of energy capture in disaster areas includes creating floating solar panel areas that are cooled by the ocean water beneath them and also will provide a small amount of desalinated water. Sintered porous wicks will be used to move salt water up to the back of the solar panel to provide cooling while also desalinating the water. Wicks created in a variety of methods, environments, and materials are being studied to analyze the effect they have on permeability and porosity to determine the type of wick most effective in this application. The resulting wick must make enough capillary pressure to move water through it while having small enough pores to remove the salt from the water.

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  Methods for Exploiting High Resolution Imagery for Deep Learning Based Diabetic Retinopathy Detection and Grading

  Adam Saunders

  Diabetic retinopathy is a disease that affects the eyes of people with diabetes, and it can cause blindness. To diagnose diabetic retinopathy, ophthalmologists image the back surface of the inside of the eye, a process referred to as fundus photography. Ophthalmologists must then diagnose and grade the severity of diabetic retinopathy by analyzing details in the image, which can be difficult and time-consuming. Alternatively, due to the availability of labeled datasets containing fundus images with diabetic retinopathy, AI methods like deep learning can provide automated detection and grading algorithms. These deep learning algorithms sometimes use images at a much lower resolution than is available from fundus photography. However, we show that the resolution of a image has a large effect on the accuracy of the algorithm. Here, we study several techniques to increase the accuracy of the algorithm by taking advantage of higher-resolution data, including increasing the network input size, introducing a region-of-interest channel, and using a non-uniform downsampling approach.

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  Micronaut Velocity interface that provides a way to control the 8×8 Led Matrix from SenseHat

  Nayana Boppana

  Micronaut Velocity is a lightweight and high-performance web framework that enables developers to build microservices in the Java programming language. The Raspberry PI is a small, low-cost computer that can be used for a variety of projects, including home automation, robotics, and IoT applications. The SenseHat is an add-on board for the Raspberry PI that includes a range of sensors, including an 8x8 LED matrix. In this abstract, we explore the use of Micronaut Velocity interface that provides a way to control the 8x8 LED matrix from SenseHat. By leveraging the power of Micronaut Velocity with the SenseHat LED matrix, a responsive and interactive user interface can be build which enables users to control the LED matrix.The SenseHat LED matrix will be controlled using Java, which can be integrated with Micronaut Velocity to provide a seamless user experience. The LED matrix can display a range of colors and patterns, which can be used to create eye-catching displays.

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  Modern Solutions for Modern day problems - Efficient and Conservative approach of electrical devices around us

  Vyshakh Chandra Prabhu

  My proposed smart home system is comprised of following features like controlling household electrical appliances over the web remotely and also capable of actively monitoring the device status and update the report constantly in customized web portal. Using PID concepts (Sensor reading and record values) the device adjusts by controlling other devices to maintain the room temperature to a specified range, taking care of higher decibels sound, any emergency situations, robbery alert or a theft alert. Planning to use multiple sensors which can be interlinked to identify the temperature of the place to respond to voice commands and making a smart home.

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  Monitor and Manage water Usage in Residential Buildings

  Yeshwanth Nimma

  ABSTARCTMonitor and manage water usage in residential buildings.The project's objective is to support sustainable water usage habits while assisting families in reducing their water usage and utility costs. The project might be divided into two sections to accomplish this: Section 1: Collecting meaningful data Install water flow sensors in the apartment's various rooms, including the yard, kitchen, and bathrooms.Get information on water usage trends over a period of time, preferably one month or longer.Analyze the data using data science approaches to pinpoint locations where water use might be decreased. Detecting plumbing system leakage or high water usage at particular times of the day are two examples.Create a web-based dashboard to show the data and provide the household's occupants insights.Section 2: Automating water usage Create an automated water consumption control system based on the insights from the data analysis. For instance, if it rains, the water supply to the garden is immediately cut off, and the water flow to the bathroom is decreased at certain times.Create a warning system to inform the home's occupants of leaks or unusual water use habits. Challenges: Finding the proper sensors and technology for this project's water flow and pressure measurements will be one of its problems.Creating a trustworthy algorithm to automate water use while preserving the occupants' security and comfort would be another problem.

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  Net-Zero School Design

  Elizabeth Riedel, Keely Dryden, Kiara DiLoreto, Abigail Ward, Joseph Urso, Abigail Hoeppner, Emma Allington, Jessie Stranen

  This project represents the semester-long efforts by a group of civil engineering students to design a Net-Zero elementary school that incorporates sustainable design elements. The design effort focused on minimizing the impact of the school on the environment.