Follow

• 

  3D-Printed Elastomers with Self-Healing and Adhesive Properties

  Grant Eifert, Rebekah Revadelo

  Repairable adhesive elastomers are emerging materials employed in compelling applications such as soft robotics, biosensing, tissue regeneration, and wearable electronics. Facilitating adhesion requires strong interactions, while self-healing requires bond dynamicity. This contrast in desired bond characteristics presents a challenge in the design of healable adhesive elastomers. Furthermore, 3D printability of this novel class of materials has received limited attention, restricting the potential design space of as-built geometries. Here, we report a series of 3D-printable elastomeric materials with self-healing ability and adhesive properties. Repairability is obtained using Thiol-Michael dynamic crosslinkers incorporated into the polymer backbone, while adhesion is facilitated with acrylate monomers. The adhesive properties were tested by performing lap shear tests and measured across different lap materials and formulations of the tested material. We successfully 3D printed complex functional structures using a commercial digital light processing (DLP) printer. Shape-selective lifting of low surface energy Teflon objects is achieved using soft robotic actuators with designed geometries, wherein contour matching leads to increased adhesion and successful lifting capacity. The demonstrated utility of these adhesive elastomer materials provides unique capabilities to easily program soft robot functionality.

• 

  A compact Michelson interferometer based on-chip Fourier transform spectrometer

  Daniel Donnelly

  We present a compact Michelson interferometer-based Fourier transform spectrometer on a silicon photonic chip. In contrast to a conventional Mach Zehnder interferometer (MZI) designs demonstrated elsewhere, our design doubles the optical path difference between the two unbalanced arms of the interferometer thereby effectively doubling the spectral resolution while still maintaining the same geometric length in a MZI. Our design centered at 1550nm thus achieves ~0.8nm spectral resolution with a 40micron geometric path length difference between the two arms of the interferometer in contrast to ~1.6nm spectral resolution in the corresponding MZI. Devices have been fabricated and results will be presented.

• 

  Additively Manufactured Deltoid Fillers for Composite T-joints

  Khalid Aldhahri

  Advanced composite materials consist of continuous fibers of carbon or glass embedded in a polymer matrix, such as epoxy. This hybrid material system forms a high-strength and lightweight structure that is increasingly used in a wide variety of applications, including aerospace, marine structure and vehicles, energy production, sporting goods, and general infrastructure. There are numerous manufacturing processes for making these products, but all of them involve combining the matrix with a high concentration of reinforcing fibers, resulting in a highly compacted laminate structure. T-joint composite parts have been widely used in the construction of products in several applications, especially in aerospace. Recently, there has been increased interest in investigating T-joint strength behavior and failure mechanisms through a combination of experimental and numerical approaches. These parts require a filler material in the voided deltoid region, where the base and flange meet, to ensure their strength and damage tolerance. To provide structural integrity, including a filler material in the deltoid region is necessary for finished composite parts. Conventionally, the deltoid region fills up with resin during molding, or a rolled-up piece of fabric is placed in the region prior to molding to reinforce the resin. Neither approach is ideal for several reasons including fiber distortion and uncontrolled permeability in the deltoid region. In this research, a tensile pull-off test is used to investigate the strength of T-joint parts with different custom porosity of 3D printed parts used as the filler material. The maximum force required to fail the structure, as well as the total elongation to failure, were compared for a carbon/epoxy composite T-joint structure.

• 

  Aerodynamic Study of the Turbulence in the Wake of a 2022 Formula One Car

  Luis Mendez

  For the 2022 Formula One (F1) season, F1 introduced a new set of technical regulations that reduce the complexity of the aerodynamic devices such as the spoiler, often called wings. The objective of this regulation change is to reduce the amount of turbulence produced allowing the cars to trail behind one another closer, making for easier overtaking and increasing the competitiveness of the sport. The present study evaluates and quantifies the aerodynamic performance of a 2022 F1 rear wing by using computational fluid dynamic (CFD) analyses. Both a study of a 2022 and 2021 specification rear wing is assessed to determine how the new technical regulations affect the turbulence in the wake of the car. The study is performed by taking cut planes in the fluid domain downstream of the rear wing model and integrating over the plane to determine the turbulence behind the wing. With this analysis, a comparison between the two rear wing specifications can be performed to determine the magnitude of impact the new technical regulations produce. From this, a conclusion can be made regarding the effectiveness of the 2022 F1 technical regulations, and whether the regulation change was justified.

• 

  A First-Principles Investigation of the Optical Properties of Two-dimensional Si Thin Films

  Nicholas Saunders

  Recent experimental studies suggest that thin-film crystalline silicon is viable as a high-efficiency material for energy conversion in solar cells. A theoretical study on the optical properties of two-dimensional (2D) silicon thin films is needed to gain insights into the structure-property correlation of this material. In our project, we made Density Functional Theory calculations of multiple 2D silicon thin films of different structures. We first constructed their model structures from bulk silicon by cutting it along the (100), (110), and (111) low-Miller-index faces, varying the number of silicon atomic layers from two to eight layers, and exposing the bare surfaces or terminating them with hydrogen atoms. We then relaxed the atomic coordinates and in-plane lattice vectors of the 2D films. Next, we calculated the surface energies for the thin films with bare surfaces and modelled the octahedral crystal habit of silicon. From electronic structure calculations, we found that the 2D films with bare surfaces possess metallic in-gap states near the Fermi level, whereas hydrogen termination on the surfaces can render semiconducting thin films suitable for optical applications. Finally, we calculated the optical properties of the semiconducting thin films from the complex dielectric function at different levels of approximation, giving frequency-, face-index-, and thickness-dependent absorption coefficients. We found that the absorption coefficients increase with increasing thicknesses, asymptotically approaching that of the bulk structure. Among the three face indices studied, the (111) films have the lowest surface energy and achieve the highest absorption coefficients, making (111) the most favorable face index for thin-film silicon solar cell applications.

• 

  Analysis of Large-Scale Diabetic Retinopathy using Deep Convolutional Neural Network

  M M Shaifur Rahman

  Deep learning (DL) is currently one of the most popular branch of Machine Learning and uses Deep Convolutional Neural Network (DCNN) architectures. It can transform medical diagnostics. DCNN predictions are significantly dependent on high-quality input data. However, large-scale images are challenging to operate with classical deep-learning architectures due to their vast memory and computational requirements. Currently, one of the popular approaches to deal with large-scale input images is to resize the large image to a smaller dimension which decays the performance of the overall system. Another popular approach to overcome large-scale image problems is to sequentially crop the high-resolution image into multiple smaller images to fit in the computation memory (GPU). In this work, we demonstrate a novel approach to training and inference in higher-resolution input images (e.g., 1024 x 1024) with DCNN. Our proposed architectures are constructed with state-of-the-art DCNN backbone models such as ResNet101, DenseNet-121 and EfficientNet. Finally, the models are evaluated using large-scale diabetic retinopathy datasets (e.g., Dataset for Diabetic Retinopathy, Kaggle 2019 BD). The experimental results are compared against existing deep learning methods and demonstrate significant improvements in accuracy.

• 

  Analysis of Power System Resilience Subject to Extreme Events

  Adedayo Aruwajoye

  The purpose of this study is to increase the understanding of power system resilience through pattern recognition of disaster-induced system disruption. This study consists of analyzing power system failure and recovery patterns in a post-extreme event environment to determine relevant pattern characteristics relating to power system resilience. Specifically, the methodology of this study consists of (1) collecting and processing data from power system failures induced by natural disasters categorized by power companies, states, counties, and natural disaster occurrence.; (2) developing failure and recovery curves for the collected data; (3) investigating and establishing statistical distribution models that correlate to the goodness of fit for plotted curves best characterizing the system behaviour for each extreme external occurrence; and (4) creating a quantitative algorithm for specifying the resilience of such engineered systems. The resultant algorithm will assist in answering questions about the resiliency of power systems. Since modern society relies extensively on power systems to survive, this increased insight into power system resilience will provide better situational awareness for stakeholders during future decision-making discussions regarding power system construction.

• 

  Analyzing the Efficiency of Roller Coaster Block Systems

  Kyle Cullen

  What keeps roller coasters safe? Why do you so rarely ever hear about roller coaster trains colliding? The answer is simple: blocking systems. A block is a section of track only one train may occupy at one time; at the end of each block is a method of stopping and holding a train reliably should the next block not be clear. Examples of this are chain lift hills, magnetic brakes paired with drive tires, or friction brakes that clamp onto a brake fin secured to the bottom of the train. For my project, I would like to design a simple logic system that utilizes proximity sensors to prevent trains from colliding with each other. Along with the sensors, I will be using other miniature versions of common roller coaster components and design a simple track layout for the trains to follow.

• 

  An anisotropic transfer matrix approach to profiled optical field propagation through hyperbolic metamaterials

  Guo Chen

  We extend the transfer matrix method to study the propagation of beams and arbitrary profiled fields through anisotropic metamaterial slabs, and to demonstrate the negative refractive index property resulting in linear self-focusing of beams in hyperbolic metamaterials. Specifically, the transfer matrix method, commonly used to analyze bi-directional plane wave propagation, is developed to analyze beam propagation. By expressing a Gaussian beam as an angular spectrum of plane waves, an anisotropic transfer matrix, which is also obtained using the eigenvalues mentioned above, can be applied to calculate the beam spectrum at an arbitrary distance of propagation through a hyperbolic metamaterial. With given incident and emergent media, say, air, linear self-focusing within the metamaterial slab and subsequent reimaging in the emergent medium are numerically investigated for one transverse dimensional TM polarized Gaussian beam. Simulation results are compared with results from the unidirectional transfer function approach. The anisotropic transfer matrix method can be used to study beam transmission and reflection at the interfaces, and can be applied to analyze optical propagation through anisotropic metamaterial on uniaxial electro-optic substrates. The technique can be extended to arbitrary initial optical field profiles in one transverse dimension to assess the imaging quality of metamaterial slabs.

• 

  A New Class of Multinary Copper Chalcogenides for Photovoltaic Applications

  Sohini Sengupta (presenting author); other authors: Fajer A. Almanea, Venkateswar Rao, Jinchen Han, Soubantika Palchoudhury (faculty advisor)

  Cu3MX4 (M = V, Nb, and Ta; X = S, Se, and Te) compounds, also known as the sulvanite family, have recently emerged as promising materials for optoelectronic devices, including solar photovoltaics (PV) due to their tunable band gaps, high optical absorption coefficients and composition consisting of comparatively earth-abundant elements. These several nanocrystal compositions of the Cu3VS4−xSex (x = 0, 1, 2, 3) series were synthesized in the solution phase. The solution-phase synthesis methods allow for the control of particle size and morphology, which conventional solid-state synthesis fails to achieve. Based on experimental band gap characterization via ultraviolet visible spectroscopy,the multinary Copper vanadium chalcogenides possess an intermediate band (IB), making them promising candidates for the absorber layer in solar PV. The optical direct band gap trend shows a decrease with increasing Se content. The IB solar cells are designed to incorporate an energy band that is partially filled with electrons within the forbidden bandgap of a semiconductor, in order to provide a large photogenerated current while maintaining a high output voltage. A detailed material characterization of these new multinary nanocrystals was conducted using x-ray diffraction, photoluminescence spectroscopy, and scanning electron microscopy to further understand the structure-property relation of these nanocrystals.

• 

  An Investigation of the Mechanics of an Ultra-Stretchable, Self-Healing, DLP 3D-Printed Hydrogel for Damage-Resistant Soft Robots

  Joshua Michonski (presenter); other authors: Joseph Beckett, Carl Thrasher, Braeden Windham, Allyson Cox, Timothy Osborn, Anesia Auguste, Robert Lowe, and Christopher Crouse

  Inspired by nature, soft robots composed of compliant (“soft”) materials are well-suited for uncertain, dynamic tasks requiring safe interaction between a robot and its environment. Vat photopolymerization (VP) additive manufacturing (AM) processes such as digital light processing (DLP) have disrupted traditional manufacturing of soft devices, enabling the fabrication of soft robotic components with unprecedented speed, resolution, and complexity. Concurrently, the rapid development of novel self-healing photo-curable soft materials for VP-based AM has paved the way for soft robots with embedded healing of damage (e.g., perforations, tears) induced, for instance, by an unintended interaction with a sharp object in their operating environment. At present, however, the mechanical behavior (deformation and fracture) of self-healing photo-curable soft materials (elastomers and hydrogels) used for next-generation soft robots is not well understood. To address this compelling research opportunity, this work focuses on the design and execution of a mechanical testing program to characterize BeckOHflex, a novel self-healing photo-curable hydrogel synthesized using off-the-shelf chemicals. The large-strain elasticity of BeckOHflex is investigated through quasi-static uniaxial tension testing. Both virgin and self-healed mechanical properties are shown to be commensurate or superior to the best-performing self-healing hydrogels in the literature. Further, a suite of demonstration prints produced on a commercial VP 3D printer highlight the material’s scalability and the ability to yield prints with complex form factors.

• 

  An IOT-based Temperature Monitoring of cold substances

  Usha Sankalamaddi

  In this project I will build an IOT-based temperature monitoring of cold substances. It is achieved using the Adafruit circuit playground express and circuitpython. I am trying to monitor the temperatures of the cold substances in celsius and fahrenheit as well. I have chosen this project to explore more about the working of sensors and implementing them in real time.

• 

  A Novel, Efficient Approach for Determining the Post-Necking True Stress-Strain Response of Aerospace Metals

  Yatik Rashmin Shah

  To numerically simulate and predict the plastic deformation of aerospace metals and alloys during extreme impact events (e.g., turbine engine blade-out and rotor-burst events, bird strikes, and foreign object damage), accurate knowledge of the metal’s hardening behavior at large strains is requisite. Tensile tests on round cylindrical specimens are frequently used for this purpose, with the metal’s large-strain plasticity ultimately captured by a true stress vs. true plastic strain curve. During tensile testing, the strain field in the specimen gage section evolves from a nearly homogeneous profile prior to necking to a heterogeneous profile after the onset of necking. Concomitantly, the customary analytical relationships used to convert between engineering stress-strain and true stress-strain break down after necking, since the state of stress is no longer homogeneous or uniaxial after necking. Thus, a number of approaches have been proposed and employed to correct the post-necking hardening response. Although effective, these approaches are generally complex and/or computationally expensive, which can be particularly problematic for large experimental programs. In this talk, a novel and efficient post-necking correction method is proposed and benchmarked. Using the equivalent true strain history obtained from a digital image correlation virtual strain gage placed at the fracture location, an approximate first-order analytical approach is used to calculate the corresponding equivalent true stress. This true stress calculation is used to generate a simple post-necking hardening law, using linear interpolation between known true stress-strain states at necking and fracture. This approach is successfully benchmarked using experimental data from a suite of metals with different crystal structures and hardening behavior: Inconel 625, Inconel 718, 17-4 precipitation hardening (PH) stainless steel, and Ti-6Al-4V titanium alloy.

• 

  Application of Pressure Sensitive Paint at the University of Dayton: Small Rotorcraft Applications

  Jacob Kulig

  Traditional measurement of pressure on wind tunnel models requires individual pressure transducers or other discreet sensors. When considering a large area or complex geometry, placing an adequate number of sensors can be cost prohibitive and physically challenging. Computational fluid dynamics (CFD) provides an alternate approach to such experiments, but often needs experimental verification. Pressure-sensitive paint (PSP) is a distinctive, appealing technique for providing pressure measurements in these cases. By measuring the intensity of a specialized paint’s luminescence, the pressure at almost all visible points on a test object can be found. In some unsteady aerodynamic cases, the paint mixture is altered to provide faster response times, thus allowing rapidly changing phenomena to be analyzed. This technique has been utilized for several decades; however, it is heretofore unused at the University of Dayton. This research provides the groundwork for the use of PSP in various applications at this university. The technique is then applied to analyze the ground effects of small rotorcraft blades. This will assist in revealing the underlying characteristics of the unsteady flow that occurs between a small propeller and the ground, as may occur in unmanned aerial vehicles.

• 

  Approximate Motion Synthesis of Four-Bar Linkages Using Poles: A Bi-Invariant Approach

  Tianze Xu

  This research presents a novel approach to the synthesis of planar four-bar mechanisms for rigid-body guidance by optimizing the location of the displacement poles. Traditional methods often rely on incompatible measures, leading to suboptimal solutions. In contrast, the proposed technique focuses solely on the displacement poles, which can be described by their location and can be used to define a bi-invariant metric, resulting in a robust optimization process. Moreover, the method reduces the optimization size by utilizing a technique that does not require the entire set of displacement poles. The effectiveness of the approach is illustrated through several examples and compared to established methods. The proposed method has the potential to reformulate and simplify approximate motion synthesis problems for low DOF machines, such as metamachines, by using the planar four-bar as an approximate solution.

• 

  Arduino-based laser light security system with alarm

  Venkata Sai Neeraj Viswa Konathala

  This project shows an Arduino-powered laser light security system with an alarm. The device uses the laser beams to identify any trespassing into a certain area. The alarm system is managed by the Arduino microcontroller. Two laser modules, two photoresistors, a buzzer, and an Arduino board make up the system. The two opposing edges of the space that needs to be secured are where the laser modules are situated. Between the laser modules, the photoresistors are positioned, and they are used to detect any breaks in the laser beam. The photoresistor notices an interruption in the laser beam and alerts the Arduino board when it happens. To notify the user of the incursion, the Arduino board in turn turns on the buzzer. An effective and secure way to identify intrusions is provided by the system. It is affordable and simple to setup and utilize the system.

• 

  Arduino Based Radar System

  Srikar Janga

  Radio waves are used by RADAR, an object-detection system, to calculate an object's range, altitude, direction, and speed. There are many various sizes and performance requirements for radar systems. Airports utilize a variety of radar systems for air traffic management, long-range monitoring, and early warning systems. The brains of a missile guidance system are radar systems. There are small portable radar systems that a single person can maintain and run as well as systems that take up many sizable rooms.Several governments developed radar in secret both before and during World War II. The United States Navy came up with the name RADAR, not the actual technology, in 1940 to stand for Radio Detection and Ranging. Since becoming a common noun in English and other languages, radar has lost all capitalization.The modern uses of radar are highly diverse, including:•Air traffic control•Radar astronomy•Air-defense systemsDigital signal processing is used in high-tech radar systems, which can extract meaningful information from extremely loud noise.The Air Force, Navy, and Army all use this technology. Such technology is currently being used in Google's future Prius and Lexus autonomous cars as well as the self-parking car systems introduced by Audi, Ford, and others. The project we created can be used by the customer in whatever systems they choose, such those in a car, a bicycle, or anything else. The project's use of Arduino gives the module's usage even more freedom to be used as needed.

• 

  Arduino-Based Smart Weather Station

  Satya Seshu Sivaprasad Yerramsetty

  This project aims to design and implement a weather station using Arduino. The system will be capable of measuring various weather parameters, such as temperature, humidity, pressure, and rainfall. The collected data will be displayed on an LCD screen, and also transmitted wirelessly to a remote server for further analysis and visualization. The system will consist of multiple sensors, including a DHT11 temperature and humidity sensor, a BMP280 barometric pressure sensor, and a raindrop sensor. These sensors will be connected to an Arduino microcontroller, which will be responsible for reading the sensor data, processing it, and sending it to the LCD screen and the remote server.The LCD screen will display the current weather conditions, such as temperature, humidity, pressure, and rainfall. It will also display the time and date, and any alerts or warnings regarding extreme weather conditions. The remote server will receive the weather data wirelessly via a Wi-Fi module connected to the Arduino. The server will store the data in a database and provide real-time visualization of the data through a web interface. Users will be able to view current and historical weather data, and also set up custom alerts based on certain weather conditions.Overall, this weather station project will provide an affordable and efficient solution for monitoring weather conditions in a particular location. It can be used in various applications such as agriculture, aviation, and transportation, where accurate and up-to-date weather data is crucial for decision-making.

• 

  Automated Water Management System

  Kiranreddy Angali

  The Automatic Water Management System (AWMS) is an Internet of Things-based project with the goal of regulating and monitoring building water usage. In order to track water usage in real-time, find plumbing problems, and instantly stop the water flow in the event of a leak, the system makes use of IoT sensors and gadgets. Based on occupancy patterns and other criteria, the data collected is analyzed to optimize water consumption. The AWMS is made to minimize expensive water damage brought on by leaks and to lower water expenses and usage. Users can utilize the technology to make educated decisions about water usage by receiving alerts about suspected leaks and real-time information on water consumption. The AWMS is extremely scalable and may be put in a variety of structures, from modest residential buildings to huge commercial buildings.The AWMS is a very efficient way to control water use and avoid water damage to structures. The system makes use of IoT technology to deliver real-time data and insights that help users optimize water use, cut costs, and safeguard their property from water damage. The AWMS is a useful addition to the infrastructure of any building since it can automate water management and avoid water waste.

• 

  Automatic car parking system

  Supriya Kayathi

  A smart parking solution that can autonomously park and retrieve cars without the need for human interaction is the automatic car parking system using Arduino and ultrasonic sensor. The device employs an ultrasonic sensor and an Arduino microcontroller board to detect the presence of an automobile and direct it to a predetermined parking location.The project requires basic understanding of electronics and programming, as well as components such as Arduino Uno or similar microcontroller board, ultrasonic sensors (HC-SR04), LCD screen, LED lights and arrows, motors and gears, power supply, breadboard and jumper wires.The system uses a series of ultrasonic sensors installed in the parking lot that are connected to the Arduino board. When a car enters the parking lot, the sensors detect its presence and guide it to an empty parking spot using LED lights and arrows displayed on an LCD screen. The system then parks the car automatically, using motors and gears to move the car to the designated spot.When the driver returns to retrieve the car, the system uses ultrasonic sensors and LCD screen to guide the driver to the parked car's location. The system then uses the same motors and gears to retrieve the car and move it to the exit, where the driver can take control of the vehicle.The code for the project requires a series of algorithms to detect the car's position, calculate the distance between the car and the sensors, and guide the car to the designated parking spot. The code must be optimized for efficiency and reliability to ensure that the system operates smoothly.

• 

  Automatic Car Parking with 7 Segment Display

  Charan Sai Ravilla

  The system is built to maximize energy efficiency and is very helpful if we want to count the number of cars in the parking lots. This is done by simply incrementing the counter. To accomplish this, the system pairs of ultrasonic sensors, which saves a significant amount of energy. Each pair consists of two sensor pairs that are spaced apart in the opposite direction by a specific amount. The receiver receives the input and feeds it to an 8051 microcontroller. The transmitter is used to send light directly to the receiver. When a car approaches the area where the system is installed, the Ultrasonic sensor module detects it and sends the information to the microcontroller. The microcontroller process this input received. The system is also counting the number of cars that are present at this time and incrementing a counter with each arrival; the count is shown on a 7-segment display. If parking garages are not available, then indicate this on an LED display along with whether or not the vacant space is available. Since the counter should be situated so that only one car can pass at a time, the system also uses Arduino to increase the Bluetooth gate's open position over time.

• 

  Bedroom Temperature Sensor

  Oliver James Dunne

  I find that my bedroom often is a different temperature than the bottom floor, where the heating system is based. Sometimes the room is hotter than downstairs, sometimes it is cooler. The thermostat system works by being set to heating or cooling to a specific temperature. If that temperature is read, the heating or cooling is then turned off. For instance, if the temperature is set to cooling to 66 degrees, the cooling is on until a temperature of 66 degrees is reached. If the temperature drops below what is set when on cooling, the thermostat doesn’t react. For this project, I want to be able to see if I should set the thermostat to a higher or lower temperature before I go to bed, so I can have a desired temperature of 65 degrees when I go to bed. I will accomplish this by using a thermistor, as well as an LCD display and a RGB LED. The procedure will be to develop a schematic where the thermistor senses the temperature in the room, the LCD display shows the temperature and the RGB LED shows a different color depending on what action I should take. For a temperature 64 degrees and lower, the light will show red and that will tell me to set the thermostat to heating and a higher temperature. For a temperature 64-66 degrees, the light will show green, and I will know that no action is required. For a temperature above 66 degrees, the light will show blue, and I will know to set the temperature to cooling at a lower temperature. For the power source I will use some rechargeable batteries that I have. The necessary coding will be through Arduino, and I will connect my power source and schematic to my Arduino Uno.

• 

  Binary and ternary metal telluride nanocrystals for mid-IR applications

  Sarah Maglosky

  Transition-metal tellurides offer a unique platform for realizing new semiconductor and semi-metallic materials for biomedical devices and laser applications in the infrared ranges. They exhibit a high level of flexibility to achieve tunable band gaps through structural and compositional control. This project investigates the band gaps and photoluminescence of various new transition-metal tellurides through a materials characterization perspective and is conducted in close collaboration with the Air Force Research Laboratory. Materials characterization of novel transition-metal tellurides based on UV-vis spectroscopy, dynamic light scattering, and photoluminescence spectroscopy are reported for the chalcogenide nanocrystals to understand their novel structure-property relations. Controlled band gap and emission peaks were achieved by experimentally changing the composition of the chalcogenide nanocrystals. These results will provide key experimental insights for achieving new materials for mid-IR range device applications.

• 

  Biomedical Electro-Optics: Looking at the Eyes

  Simon Didat

  This is a summary of research and experimentation on the optical response of the human eye, with testing being performed using a GazePoint eye tracking system. Pupil dilation, gaze position, and blink rate were recorded for human subjects in response to various visual stimuli on a computer screen, including different wavelengths and directions of light in the optical spectrum. The purpose of this work was to develop a baseline data set across multiple, diverse participant demographics, which can be used in the development of an assessment tool for various clinical applications in neuroscience and human performance such as the diagnosis of concussion. This work was performed in conjunction with a collaborative telehealth/telemetry project with Premier Health/Miami Valley Hospital.

• 

  Biometric Attendance System Using Arduino

  Shivani Katanguri

  In industrial and domestic applications attendance registering is important at each and every moment. Many face a lot of problems due to lack of proper attendance monitoring system. In this project we use Fingerprint Sensor (R307) which senses the Fingerprint of a particular person; a buzzer and Led gets activated whenever a person places his finger on the sensor. Then the fingerprint is stored in cloud with id no. Many people can store their fingerprints. Then next time any person puts their finger on the sensor it checks there are any matching fingerprints or not. If his fingerprint matches with any of the stored fingerprints then the LCD display shows which person it is and the time & date of checking.In this model, all the fingerprints are stored each and every time someone places his finger. User can connect the system wirelessly with the cloud and monitor the process. When the app is running on the computer, data sent by R307 fingerprint module is received and stored on the cloud and displayed in serial monitor and 16*2 LCD display module. This study has mainly focused to develop IOT based biometric attendance system, that is able to keep record of attendance and count the data for daily purpose. In this project we are going to design Fingerprint Sensor Based Biometric Attendance System using Arduino. Simply we will be interfacing fingerprint sensor with Arduino, LCD Display & RTC Module to design the desired project. In this project, we are using fingerprint Module and Arduino to take and keep attendance data and records. Attendance systems are commonly used systems to mark the presence in offices and schools. From manually marking the attendance in attendance registers to using high-tech applications and biometric systems, these systems have improved significantly. By using the fingerprint sensor, the system will become more secure for the users. Biometric student attendance system increases the efficiency of the process of taking student attendance. This presents a simple and portable approach to student attendance in the form of an Internet of Things (IOT) based system that records the attendance using fingerprint based biometric scanner and stores them securely over cloud. This system aims to automate the cumbersome process of manually taking and storing student attendance records. It will also prevent proxy attendance, thus increasing the reliability of attendance records. The records are securely stored and can be reliably retrieved whenever required by the teacher. Proper attendance recording and management has become important in today’s world as attendance and achievement go hand in hand. Attendance is one of the work ethics valued by employers. Most of the educational institutions and government organizations in developing countries still use paper based attendance method for maintaining the attendance records. There is a need to replace these traditional methods of attendance recording with biometric attendance system. The unique nature of fingerprint makes it ideal for use in attendance management systems. Besides being secure, Fingerprint based attendance system will also be environment friendly. Fingerprint matching is widely used in forensics for a long time. It can also be used in applications such as identity management and access control. This review incorporates the problems of attendance systems presently in use, working of a typical fingerprint based attendance system, study of different systems, their advantages, disadvantages and comparison based upon important parameters.