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Articles 60991 - 61020 of 294440

Full-Text Articles in Physical Sciences and Mathematics

Reconciling The Results Of The Z ∼2 Mosdef And Kbss-Mosfire Surveys, Jordan N. Runco, Naveen A. Reddy, Alice E. Shapley, Charles C. Steidel, Ryan L. Sanders, Allison L. Strom, Alison L. Coil, Mariska Kriek, Bahram Mobasher, Max Pettini, Gwen C. Rudie, Brian Siana, Michael W. Topping, Ryan F. Trainor, William R. Freeman, Irene Shivaei, Mojegan Azadi, Sedona H. Price, Gene C.K. Leung, Tara Fetherolf, Laura De Groot, Tom Zick, Guillermo Barro Apr 2022

Reconciling The Results Of The Z ∼2 Mosdef And Kbss-Mosfire Surveys, Jordan N. Runco, Naveen A. Reddy, Alice E. Shapley, Charles C. Steidel, Ryan L. Sanders, Allison L. Strom, Alison L. Coil, Mariska Kriek, Bahram Mobasher, Max Pettini, Gwen C. Rudie, Brian Siana, Michael W. Topping, Ryan F. Trainor, William R. Freeman, Irene Shivaei, Mojegan Azadi, Sedona H. Price, Gene C.K. Leung, Tara Fetherolf, Laura De Groot, Tom Zick, Guillermo Barro

Pacific Faculty Work

The combination of the MOSDEF and KBSS-MOSFIRE surveys represents the largest joint investment of Keck/MOSFIRE time to date, with ∼3000 galaxies at 1.4 z 3.8, roughly half of which are at z ∼2. MOSDEF is photometric- and spectroscopic-redshift selected with a rest-optical magnitude limit, while KBSS-MOSFIRE is primarily selected based on rest-UV colours and a rest-UV magnitude limit. Analysing both surveys in a uniform manner with consistent spectral-energy- distribution (SED) models, we find that the MOSDEF z ∼2 targeted sample has higher median M ∗and redder rest U −V colour than the KBSS-MOSFIRE z ∼2 targeted sample, and smaller median …

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Einstein's Equations, Lagrangians For General Relativity, And Adm Formalism, Timothy Corbett Apr 2022

Einstein's Equations, Lagrangians For General Relativity, And Adm Formalism, Timothy Corbett

Departmental Honors & Graduate Capstone Projects

Einstein’s equations describe the relation of spacetime curvature and present matter. We will consider the case of a Lorentzian manifold diffeomorphic to ℝ × Σ, where time t ∈ ℝ and the three-dimensional manifold Σ represents space. In a homogeneous and isotropic universe, the three-dimensional manifold Σ of the Lorentzian manifold has Riemann curvature tensor (3)R = KI, where K is a constant and I is the 3 × 3 identity matrix. Space is flat when K = 0, spherical when K is positive, and hyperbolic when K is negative. In this paper, we will show models agreeing with …

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Into The Depths: Climate Change Part 1, Felicia Bedford Apr 2022

Into The Depths: Climate Change Part 1, Felicia Bedford

D.U.Quark

No abstract provided.

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Into The Depths: Climate Change Part 2, Felicia Bedford Apr 2022

Into The Depths: Climate Change Part 2, Felicia Bedford

D.U.Quark

No abstract provided.

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Post-Analysis Of Osm-Gan Spatial Change Detection, Lasith Niroshan Kottawa Hewa Manage, James Carswell Apr 2022

Post-Analysis Of Osm-Gan Spatial Change Detection, Lasith Niroshan Kottawa Hewa Manage, James Carswell

Conference Papers

Keeping crowdsourced maps up-to-date is important for a wide range of location-based applications (route planning, urban planning, navigation, tourism, etc.).We propose a novelmap updatingmechanism that combines the latest freely available remote sensing data with the current state of online vector map data to train a Deep Learning (DL) neural network. It uses a GenerativeAdversarial Network (GAN) to perform image-to-image translation, followed by segmentation and raster-vector comparison processes to identify changes to map features (e.g. buildings, roads, etc.) when compared to existing map data. This paper evaluates various GAN models trained with sixteen different datasets designed for use by our change …

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Design, Synthesis, And Analysis Of Paired Coiled-Coil Peptidic Molecular Building Blocks Used For Linearly Controlled Self-Assembly Of Α-Helical Coiled-Coil Heterodimer Peptide Pairs, Jason Distefano Apr 2022

Design, Synthesis, And Analysis Of Paired Coiled-Coil Peptidic Molecular Building Blocks Used For Linearly Controlled Self-Assembly Of Α-Helical Coiled-Coil Heterodimer Peptide Pairs, Jason Distefano

Chemistry Theses

Molecular building blocks are fundamental to biological synthesis and processes and have been utilized in advanced materials, drugs and drug delivery systems, and biotechnology. Proteins have been used as molecular building blocks for the construction of complex, well-ordered structures. Coiled-coil protein domains are essential subunits used for the oligomerization of protein complexes, gene expression, and structural elements of biological materials. The synthesis and assembly of proteins utilizing coiled-coil motifs are of great scientific interest due to their potential applications in disease treatment, biomechanical motors, nanoscale delivery systems, etc. However, assembling protein complexes with specific morphology is still challenging because …

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Synthesis And Study Of Unsymmetrical Bidentate Bis(Phosphino)Pyrrole Ligands And Their Transition Metal Complexes, Julia F. Vidlak Apr 2022

Synthesis And Study Of Unsymmetrical Bidentate Bis(Phosphino)Pyrrole Ligands And Their Transition Metal Complexes, Julia F. Vidlak

Honors Theses

Our laboratory has reported the synthesis and characterization of a broad library of unsymmetrical bidentate bis(phosphino)pyrrole (BPP) ancillary ligands for use in nickel-catalyzed cross-coupling reactions. The electronic and steric properties of nickel complexes bearing these ligands are examined, and our data support the hypothesis that these ligands produce nickel complexes with electron-deficient metal centers. The syntheses of (BPP)Ni(o-tolyl)Cl precatalysts for utilization in nickel-catalyzed Buchwald-Hartwig Amination are described, and preliminary reactivity studies reveal that (BPP)Ni(o-tolyl)Cl precatalysts are effective in promoting C–N cross-coupling reactions. Finally, we report steric measurements and electronic properties obtained from computed (BPP)NiCl2 and (BPP)Ni(CO)2 complexes, respectively. Additional reactivity …

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The Feasibility And Utility Of Harnessing Digital Health To Understand Clinical Trajectories In Medication Treatment For Opioid Use Disorder: D-Tect Study Design And Methodological Considerations, Lisa A. Marsch, Ching-Hua Chen, Sara R. Adams, Asma Asyyed, Monique B. Does, Saeed Hassanpour, Emily Hichborn, Melanie Jackson-Morris, Nicholas C. Jacobson, Heather K. Jones, David Kotz, Chantal A. Lambert-Harris, Zhiguo Li, Bethany Mcleman, Varun Mishra, Catherine Stanger, Geetha Subramaniam, Weiyi Wu, Cynthia I. Campbell Apr 2022

The Feasibility And Utility Of Harnessing Digital Health To Understand Clinical Trajectories In Medication Treatment For Opioid Use Disorder: D-Tect Study Design And Methodological Considerations, Lisa A. Marsch, Ching-Hua Chen, Sara R. Adams, Asma Asyyed, Monique B. Does, Saeed Hassanpour, Emily Hichborn, Melanie Jackson-Morris, Nicholas C. Jacobson, Heather K. Jones, David Kotz, Chantal A. Lambert-Harris, Zhiguo Li, Bethany Mcleman, Varun Mishra, Catherine Stanger, Geetha Subramaniam, Weiyi Wu, Cynthia I. Campbell

Dartmouth Scholarship

Introduction: Across the U.S., the prevalence of opioid use disorder (OUD) and the rates of opioid overdoses have risen precipitously in recent years. Several effective medications for OUD (MOUD) exist and have been shown to be life-saving. A large volume of research has identified a confluence of factors that predict attrition and continued substance use during substance use disorder treatment. However, much of this literature has examined a small set of potential moderators or mediators of outcomes in MOUD treatment and may lead to over-simplified accounts of treatment non-adherence. Digital health methodologies offer great promise for capturing intensive, longitudinal ecologically-valid …

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On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis Apr 2022

On Misuses Of The Kolmogorov–Smirnov Test For One-Sample Goodness-Of-Fit, Anthony Zeimbekakis

Honors Scholar Theses

The Kolmogorov–Smirnov (KS) test is one of the most popular goodness-of-fit tests for comparing a sample with a hypothesized parametric distribution. Nevertheless, it has often been misused. The standard one-sample KS test applies to independent, continuous data with a hypothesized distribution that is completely specified. It is not uncommon, however, to see in the literature that it was applied to dependent, discrete, or rounded data, with hypothesized distributions containing estimated parameters. For example, it has been "discovered" multiple times that the test is too conservative when the parameters are estimated. We demonstrate misuses of the one-sample KS test in three …

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Data-Driven Models For Remaining Useful Life Estimation Of Aircraft Engines And Hard Disk Drives, Austin Coursey Apr 2022

Data-Driven Models For Remaining Useful Life Estimation Of Aircraft Engines And Hard Disk Drives, Austin Coursey

Honors College Theses

Failure of physical devices can cause inconvenience, loss of money, and sometimes even deaths. To improve the reliability of these devices, we need to know the remaining useful life (RUL) of a device at a given point in time. Data-driven approaches use data from a physical device to build a model that can estimate the RUL. They have shown great performance and are often simpler than traditional model-based approaches. Typical statistical and machine learning approaches are often not suited for sequential data prediction. Recurrent Neural Networks are designed to work with sequential data but suffer from the vanishing gradient problem …

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Machine Learning-Based Device Type Classification For Iot Device Re- And Continuous Authentication, Kaustubh Gupta Apr 2022

Machine Learning-Based Device Type Classification For Iot Device Re- And Continuous Authentication, Kaustubh Gupta

School of Computing: Dissertations, Theses, and Student Research

Today, the use of Internet of Things (IoT) devices is higher than ever and it is growing rapidly. Many IoT devices are usually manufactured by home appliance manufacturers where security and privacy are not the foremost concern. When an IoT device is connected to a network, currently there does not exist a strict authentication method that verifies the identity of the device, allowing any rogue IoT device to authenticate to an access point. This thesis addresses the issue by introducing methods for continuous and re-authentication of static and dynamic IoT devices, respectively. We introduce mechanisms and protocols for authenticating a …

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Towards Conserving Crop Wild Relatives Along The Texas–Mexico Border: The Case Of Manihot Walkerae, Gisel Garza, Crystian Sadel Venegas Barrera, Jon Dale, José Guadalupe Martínez-Ávalos, Teresa Patricia Feria-Arroyo Apr 2022

Towards Conserving Crop Wild Relatives Along The Texas–Mexico Border: The Case Of Manihot Walkerae, Gisel Garza, Crystian Sadel Venegas Barrera, Jon Dale, José Guadalupe Martínez-Ávalos, Teresa Patricia Feria-Arroyo

School of Integrative Biological & Chemical Sciences (Formerly Dept. of Biology)

Walker’s Manihot, Manihot walkerae, is an endangered species endemic to south Texas and northeastern Mexico and is a Crop Wild Relative (CWR) of the international and economically important crop cassava (M. esculenta). Manihot walkerae is globally endangered (IUCN’s Redlist, Texas list, USA); however, it is not recognized on the Mexican list of endangered species (NOM-059-SEMARNAT). We assessed the status of M. walkerae in Mexico and re-evaluated its global status. According to our analysis, M. walkerae should be considered an endangered species based on the IUCN’s assessment method and a threatened species in Mexico based on the Mexican criteria. Our findings …

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Gr-183 - Deep Learning Search Engine, Malik Naik Mohammed, Madhusudhan Rao Atmakuri, Yves Junior Kwame Kamgaing, Sai Charan Gandi Apr 2022

Gr-183 - Deep Learning Search Engine, Malik Naik Mohammed, Madhusudhan Rao Atmakuri, Yves Junior Kwame Kamgaing, Sai Charan Gandi

C-Day Computing Showcase

Deep Learning Information Retrieval (IR) is a booming area of research. Research in this field focuses on retrieving the most relevant search results based on the meaning of the search result, not just the keywords. The state-of-the-art technologies generally involve taking existing deep neural networks (such as Universal Sentence Encoder, or Google’s BERT), and training them to rank search results. However, some search engines make use of text matching algorithms (like Best Match 25). These algorithms work by taking into account the term frequency and other word patterns and work surprisingly well. The most common problem when it comes to …

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Gr-181 - Breast Cancer Patient Survival Prediction With Clinical Data And Computed Tomography (Ct) Image Datasets, Malik Naik Mohammed Apr 2022

Gr-181 - Breast Cancer Patient Survival Prediction With Clinical Data And Computed Tomography (Ct) Image Datasets, Malik Naik Mohammed

C-Day Computing Showcase

No abstract provided.

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Uc-192 Smartchoice - Online Smart Retail For Food Delivery, John M. Rios-Burrows, Samuel J. Megginson, Malvika Shastry, Bhumika Shastry, Isaac T. Shadare, Munir Abdulkadir, Damaris Waymond Apr 2022

Uc-192 Smartchoice - Online Smart Retail For Food Delivery, John M. Rios-Burrows, Samuel J. Megginson, Malvika Shastry, Bhumika Shastry, Isaac T. Shadare, Munir Abdulkadir, Damaris Waymond

C-Day Computing Showcase

Our product is a website which extensively compares and analyzes food delivery fees from the top 3 online food websites which are GrubHub, UberEats, and Postmates and gives the best option for customers for their satisfaction. This encapsulates the idea of the Internet of Things in smart retail because we are building a technology service that helps users get the best food delivery deals in a trillion dollar industry by improving user experience as well as saving time, energy, and costs in this busy world. Financial motivation is the leading incentive for customers and clients to use our website as …

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Ur-195 - Replicating Touch With Mq Telemetry Transport (Mqtt) And Circuit Python: A Case Study Of Internet-Of-Things (Iot) Application, Damaris Waymond Apr 2022

Ur-195 - Replicating Touch With Mq Telemetry Transport (Mqtt) And Circuit Python: A Case Study Of Internet-Of-Things (Iot) Application, Damaris Waymond

C-Day Computing Showcase

This project investigates how haptics is currently being used to enable remote intimacy. Specifically, I attempt to use the MQTT protocol, along with wi-fi/BLE-enabled hardware running on Circuit Python, to replicate a kiss in real-time. Further, the lack of apps and/or tech that’s inclusive the those who feel socially isolated but still yearn for intimacy served as motivation for this research. Primary methods included sentiment analysis done using the Twitter API along with the Textblob Python library based on queries including strings like “hickey” and “sensitive neck.” Moreover, secondary research led us to Kissenger: a product by Emma Y. Zhang …

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Gc-149 - S'Eyed'kick: Ai Powered Reading Assistant And Translator, Stacie P. Allen, Jessica Barnes, Chenelle Hill, Lauren Pope, Adetayo A. Adejuwon Apr 2022

Gc-149 - S'Eyed'kick: Ai Powered Reading Assistant And Translator, Stacie P. Allen, Jessica Barnes, Chenelle Hill, Lauren Pope, Adetayo A. Adejuwon

C-Day Computing Showcase

According to the Centers for Disease Control (CDC), roughly 12 million people in the United States above the age of 40 are visually impaired. In adults 18 years and older, visual impairment is one of the top 10 disabilities. It can have an enormous effect on one’s independence and quality of life. Assistive technology through artificial intelligence (AI) can support the visually impaired in everyday life functions. Our application is specifically designed for reading text such as small print. After the user selects the language for translation out of 34 choices and takes a picture of the text with the …

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Gc-155 - Runbook Automation, Harshitha K. Gamini, Nireesh Paidi, Sai Keerthi Seelamanthula, Prakash Batchu, Furkan A. Burgal Apr 2022

Gc-155 - Runbook Automation, Harshitha K. Gamini, Nireesh Paidi, Sai Keerthi Seelamanthula, Prakash Batchu, Furkan A. Burgal

C-Day Computing Showcase

Runbook is common terminology used in every IT organization which is maintained in Excel for taking the components to production in a particular time frame after making an agreement with the business for the downtime of systems (Freeze Period). Runbook Automation is a web application for delivering and tracking deliverables to production. It acts as an interface between Infrastructure teams responsible for deployments and runbook coordinator, development teams, and Business Analysts. The application consists of a home page consisting of a Dashboard where the user can edit the profile, and other employee tracking details and timesheets. In Employee tracking, the …

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Gc-171 - Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Suma Veeravenkatappa, Priyanka Pola, Anupama Nambanoor Kunnath, Jyothshna Macherla, Bharath Reddy Ghandu, Animesh Yadav Apr 2022

Gc-171 - Source Localization Of Electroencephalogram (Eeg) Waves With Convolutional Neural Network, Suma Veeravenkatappa, Priyanka Pola, Anupama Nambanoor Kunnath, Jyothshna Macherla, Bharath Reddy Ghandu, Animesh Yadav

C-Day Computing Showcase

This project investigates the use of deep learning for Heterogeneous robotics trajectory and communication planning which will be assisted by prioritizing by electroencephalogram (EEG) waves for the purpose of improvisation by different emotional responses of human subjects. The Convolutional Deep Learning  model is trained to recognize EEG reading corresponding to different usage of the heterogeneous robots which are then used as an additional(imitation) input to the Reinforcement Learning based robotic operation. This project mainly focuses on delivery drone and aerial base station drone operations from source to destination considering energy efficient path, shortest distance, charging points, and to avoid collisions. …

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Gr-151 - Performance Analysis And Review Of Encrypted Dns Protocols, Matt Williamson Apr 2022

Gr-151 - Performance Analysis And Review Of Encrypted Dns Protocols, Matt Williamson

C-Day Computing Showcase

Data encryption has quickly become an essential service of the internet. When it was first developed, data encryption and privacy were not prioritized. However, as the internet has grown and globalized, ensuring data privacy has become a prevailing requirement for conducting all types of business over the internet. Since privacy was an afterthought in the early development of the internet, many technologies have been built on top of existing ones in order to rectify security holes inherent in design. One of the more recent areas where this is happening is Domain Name Resolution. Until recently, the mechanism of resolving domain …

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Gr-167 - Non-Invasive Glucose Monitoring System- Glucocheck, Priyanka Pola, Oluwaseyi Falaiye Apr 2022

Gr-167 - Non-Invasive Glucose Monitoring System- Glucocheck, Priyanka Pola, Oluwaseyi Falaiye

C-Day Computing Showcase

There are now competing mechanisms for encrypting DNS. I plan to explore two of the most common, DNS-over-HTTPS (DoH) and DNS-over-TLS (DoT). In particular, I plan to examine the performance of each method and compare/contrast them. However, performance alone can’t be the ultimate identifier when comparing encryption methods. Therefore, I will also do a review of each method with the goal of determining how they function and where their strengths and weaknesses lie.

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Gr-182 - Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore Apr 2022

Gr-182 - Iot Clusters Platform For Data Collection, Analysis, And Visualization Use Case, Soin Abdoul Kassif Baba M Traore

C-Day Computing Showcase

Climate change is happening, and many countries are already facing devastating consequences. Populations worldwide are adapting to the season's unpredictability they relay to lands for agriculture. Our first research was to develop an IoT Clusters Platform for Data Collection, analysis, and visualization. The platform comprises hardware parts with Raspberry Pi and Arduino clusters connected to multiple sensors. The clusters transmit data collected in real-time to microservices-based servers where the data can be accessed and processed. Our objectives in developing this platform were to create an efficient data collection system, relatively cheap to implement and easy to deploy in any part …

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Gr-190 - Drl-Fhss: Dynamic Reinforcement Learning Based Frequency Hopping Spread Spectrum Algorithm For Maximizing Data Rate And Minimizing Collision In Edge-Enabled Lorawan, Jui Mhatre Apr 2022

Gr-190 - Drl-Fhss: Dynamic Reinforcement Learning Based Frequency Hopping Spread Spectrum Algorithm For Maximizing Data Rate And Minimizing Collision In Edge-Enabled Lorawan, Jui Mhatre

C-Day Computing Showcase

The Last decade saw new advances in LoRaWAN for IoT devices. Recent research in this field is as made it a game-changer for the IoT world. Lora, owing to its ability to establish a long-range communication using low power, has proved upper hand over its counterparts such as Wifi, Bluetooth, or cellular network. LoRa uses much lower bandwidth and as a result, network and power demands reduce. LoRa is suitable for short and periodic communications. But due to lower bandwidth and consequently lower transmission rates and low data volumes, it is not suitable for real-time communications. Frequency-hopping spread spectrum(FHSS) helps …

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Gr-210 - Detection Of Small Traffic Signs Using Image Super Resolution, Duleep Rathgamage Don Apr 2022

Gr-210 - Detection Of Small Traffic Signs Using Image Super Resolution, Duleep Rathgamage Don

C-Day Computing Showcase

In this study, we propose a novel method to detect small traffic signs that appeared in dashboard camera images. Our method is a framework consisting of the following three distinct algorithms. Grouping Window, Super Resolution Generative Adversarial Network (SRGAN), and a two-stage cascade classifier. Potential regions of interest (ROI) are extracted with Grouping Window which is a sophisticated modification of the traditional sliding window technique. The ROI are upsampled and enhanced using SRGAN. Then the traffic signs among high-resolution ROI are detected and identified by the two-stage cascade classifier of which the first stage filters the ROI that do not …

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Gr-214 - Extracting Human Factors From Goods To Person Order Picks, Alan Norkham Apr 2022

Gr-214 - Extracting Human Factors From Goods To Person Order Picks, Alan Norkham

C-Day Computing Showcase

This project aims to extract the Human Factors (HF) from Goods to Persons Order Picks (OP). We used live data from a known functioning site. The data was then cleaned and visualized. After many different approaches, a hypothesis was formed. We used a deterministic approach to the data and applied Time Series Analysis to an Auto Regression Model. The predicted results yielded slight, but major differences in the initial visualization.

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Uc-152 Posture Change In Immersive Experiences Using A Wearable Chair, Mason T. Prather, Daniel Bodien Apr 2022

Uc-152 Posture Change In Immersive Experiences Using A Wearable Chair, Mason T. Prather, Daniel Bodien

C-Day Computing Showcase

The goal of this project is to develop methods to detect a user's posture in immersive experiences, particularly for standing position and sitting position. This will give developers a tool for changing a user’s experience in relation to their current posture. For example, a user can walk to a car, sit down, and drive the car. Detecting this posture change will add a natural gesture-based trigger for making the experience more immersive.

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Uc-153 Station 17, Andrew Legg, Linni Miller, Seth Byrd, Benjamin Rigg, Bonga Maswanganye Apr 2022

Uc-153 Station 17, Andrew Legg, Linni Miller, Seth Byrd, Benjamin Rigg, Bonga Maswanganye

C-Day Computing Showcase

Station 17 is a classic style First Person Shooter, where you are sent to clear out a derelict space station on a foreign planet's facility. Utilize your archetypal weapons and handy grapple shot to take down all the creatures the hive mind can throw at you while navigating levels within the facility.

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Uc-160 Virtudoc - Cs4850/01 - Group 5a, Julian A. Pasencia, James Pruitt, Anthony Araujo, Bennett Zhu, William Stancil, Mohammad Umar, Joshua M. Zenn Apr 2022

Uc-160 Virtudoc - Cs4850/01 - Group 5a, Julian A. Pasencia, James Pruitt, Anthony Araujo, Bennett Zhu, William Stancil, Mohammad Umar, Joshua M. Zenn

C-Day Computing Showcase

VirtuDoc is a web application that allows patients to communicate with their doctors virtually. Once A patient has logged in or created an account, they can schedule a virtual appointment based on a time, symptoms, and doctor. VirtuDoc will also give the ability to patients to connect with their doctor over text chat leading up to their appointment. Virtual web-conferencing connects patients with doctors at the scheduled time of appointment. Additionally, doctors are capable of linking and displaying video content to patients based on the situation. Patients will also have access to records including post appointment information displaying the patient …

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Uc-177 Day Easy Phone Application, Zeynep D. Birgili, Gabriel D. Lagares, Amadeus R. Martinez, Luis A. Perez, Jeremiah D. Roby Apr 2022

Uc-177 Day Easy Phone Application, Zeynep D. Birgili, Gabriel D. Lagares, Amadeus R. Martinez, Luis A. Perez, Jeremiah D. Roby

C-Day Computing Showcase

DayEasy is a phone application that is designed to promote clean eating and workout habits by providing services such as a calendar, workout planner, hydration and calorie journal, pedometer, fasting timer, and a meal planner. The application will have the functions to: • The user will be able to create an account. • The user will be able to change their password when they forget it. This will be done by sending an email. • The user will be able to save their sign in credentials. • The user will be able to view their daily schedule. • The user …

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Uc-188 It Management Dashboard, Sam Kharel, Robert Raheja, Kyle Hoganson, Jacob Hooker, Sky Kim Apr 2022

Uc-188 It Management Dashboard, Sam Kharel, Robert Raheja, Kyle Hoganson, Jacob Hooker, Sky Kim

C-Day Computing Showcase

This project lays the foundation for the continued collaboration of future students to build an open-source IT Dashboard through our sponsor at the Georgia Tech Research Institute. The goal is to work towards a functional dashboard that incorporates a complete toolkit for the management of day-to-day IT needs. Any company or individual should be able to obtain a copy of our project and format it to fit their needs. Our MIT License for the project will fall in line with these goals.

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