Physical Sciences and Mathematics Commons^™

[Chain Up Group] Applied Technology Group Project, Maria Beluz Suarez, Haein Kim

ICT

This document presents the draft of the introductory chapter as well as the research and planning aspects of developing a text hosting service application based on block chain technology named‘Chain UP. This report represents part I of the continuous assessment of the year-module named Applied Technology Group Project for the 3rd year of the Information Technology course at CCT College Dublin. This chapter contains an introduction to Blockchain’s concepts and an overview of its benefits and the latest industry applications of this technology, specifically the financial services industry and the data security industry. In the next chapters, we will discuss …

Applied Technology Group Project Documentation For Nls-Project, Cauê Duarte, Felipe Mantovani, Olga Kiseleva, Taras Boreyko

ICT

Loyalty systems are commonly used to build and improve relationships between business and customers. Throughout history they evolved and became almost essential for small businesses such as coffee shops or small local stores. In this paper we will analyze existing loyalty systems that are presented in the world and Irish market, how they are used in the coffee shop industry and how new technologies can change and shape this industry. We examined multiple coffee shops brands present in Ireland and their rewards systems. We compared their loyalty systems using alternative methodologies and theoretical lenses in order to find new ways …

Using Object Detection Algorithm And Optical Character Recognition To Read Data From Alphanumeric Tags In Text, Ana Bazerque, Davi Moraes, Marcela Souza

ICT

The present document explores the use of machine learning techniques, specifically supervised learning and classification. It applies those techniques to create a solution for a real world company that provides medical products and services to hospitals. This project will deal with streamlining the calibration of medical weighing scales. The developed application will use object detection and character recognition to identify and classify a digital image of a scale’s tag, and fill in a form with the corresponding data. The main reason for the need of this application is to avoid human errors and automate the collection of data from the …

#Greener By Greentech, Ana Ospitaletche, Larissa Roseno, Jose Miguel Gonzalez, Amanda Brelaz

ICT

In recent years there has been growing concern about the negative impact humankind has on the planet. Companies and individuals are making efforts to mitigate their environmental impact. In this context and as individuals that care about the environment and try to lead a more sustainable life, we decided to research which elements could be stopping individuals from trying to implement changes in their daily habits.

One of the key conclusions of this research was that there is too much information, sometimes even conflicting, on how to lead a sustainable life.

#Greener aims to make a contribution by giving clear …

Li-Fi Share (Lfs): See What Light Can Do, Gamaliel Munoz, Anant Tandon, Juliana Sousa, Zohaib Qaiser

ICT

This project presents an innovative way how the user of internet can manipulate data transfer in a faster and security way. The main idea is to use “LI-FI ” that means type of Optical Wireless Communication (OWC) technology, bi-directional which uses light emitting diodes (LEDs) to transmit data between devices. In technical terms LI-FI transmits data by electromagnetic spectrum, high speeds of data over the visible light, ultraviolet, and infrared, and Wi-fi for example uses radio waves as a transmitter of data. While we were researching about the technology, we found out a new thing that we could use the …

Mysmartpi, Camila Pulz De Faria, Fernando Aires Da Silva, Jesus Colina Nunez, Reginaldo Pereira Dos Santos, Thenilde Borges

ICT

Nowadays, accessing the Internet in a secure way in a big concern for many people due to the increase of cybersecurity attacks and the vulnerability of the data that is transferred online. In order to address such vulnerabilities, the use of a Virtual Private Network is really important. Not only for security reasons, but also to access resources of the network, such as printers, files or web pages. Considering that many people, especially IT students, have curiosity and enjoy creating their own technologies, this project aims to create a user manual to teach how people can create their own VPN …

Retail Health & Safety Digital Management System, Anderson Oliveira Gomes, David Carvalho, Henrique Atanasio Wegner

ICT

Health and Safety procedures and documentations are one of the many tasks that need to be done by a small retail shop, they are also one of the most difficult things to manage daily as all those can build up during the day/week. Inside Health and Safety there are many subcategories that need to be administered (maintenances, trainings and checklists for example) which can be very overwhelming for any management team notably in small retail shops as they do not have the permanent personnel to be able to maintain an organised system.

This project aims to create a management software …

Smart Wearable Device For Reduction Of Parkinson’S Disease Hand-Tremor, Bruno Ribeiro, Leopoldo Medeiros, Rodrigo Aguiar, Juan Carlos

ICT

Parkinson's disease is a neurodegenerative disorder that affects over 10 million people worldwide (Health Unlocked, 2017). People diagnosed with Parkinson's Disease can experience tremors, muscular rigidity and slowness of movement. Tremor is the most common symptom and external agents like stress and anxiety can make it worse, which may cause complications to complete simple day-to-day tasks.

Therefore Bio Protech proposes the development of a smart wearable device for reduction of the hand-tremors based on medical evidence that by applying vibration to the wrist may result in a reduction of the involuntary tremor. The device imitates the shape of a wristwatch …

The Wall: A Mobile App To Identify And Store Social Events From A Digital Image Using Computer Vision, Akhill Chandran, Ana Julia Ortiz, Eliezer Maia Barbosa, Maura Carola Tangara, Raquel Martini

ICT

Social events, promoted in print media using posters, flyers and banners often fail to attract an audience because we frequently forget the details of the event when we pass-by the promotion on the street. Smaller venues or artists often rely on low-cost, street-level marketing campaigns in areas of high foot traffic areas to develop interest in an event. These venues or artist are often without a budget for online marketing or have a target demographic outside the typical Social Media consumer which makes attracting an audience difficult.

This project aimed to solve the problem of storing and reminding the user …

Conversa: A Community Of Conversation, Leandro Silveira, Willian Antunes De Sousa, Richard Welbert Silva Biagi, Patricia Correia, Lucas Freire

ICT

In the past decade, Dublin has seen increasing development in many sectors, remarkably in the Education industry. The country has attracted many English learning seekers, students that come to Dublin to live, learn the language, and the local culture. However, exciting this adventure might seem, foreigners may still struggle to overcome a set of difficulties when learning another language in a different environment.

For this reason, this project will try to develop an app that can help students meet new people with the primary objective to learn and practice English with people nearby. Users will be able to find people …

Chapter 4 Report: Strings And Hexadecimals: Explained And Explored, Reed Kessler, Jeremy Evert

Student Research

What I learned from doing all three of these problems is the use of string statements, along with a better understanding of hexadecimals and their uses.

Tag: Automated Image Captioning, Nathan Funckes

McNair Scholars Manuscripts

Many websites remain non-ADA compliant, containing images which lack accompanying textual descriptions. This leaves sight-impaired individuals unable to fully enjoy the rich wonders of the web. To address this inequity, our research aims to create an autonomous system capable of generating semantically accurate descriptions of images. This problem involves two tasks: recognizing an image and linguistically describing it. Our solution uses state-of-the-art deep learning: employing a convolutional neural network that "learns" to understand images and extracts their salient features, and a recurrent neural network that learns to generate structured, coherent sentences. These two networks are merged to create a single …

Cognition And Context-Aware Computing: Towards A Situation-Aware System With A Case Study In Aviation, Justin C. Wilson

Computer Science and Engineering Theses and Dissertations

In aviation, flight instructors seek to comprehend the intent and awareness of their students. With this awareness, derived from in-flight observation and post-flight examination, a human instructor can infer the internal contexts of their student aviators as they perform. It is this understanding that is fundamental for evaluating student development. Further, a well-understood construct for describing the state of knowledge about a dynamic environment is known as situational awareness (SA). Often pilot error is associated with SA [80], and it is fundamental to flight safety and mission execution. If these contexts can be automatically inferred, instructors and students can more …

A Modeling Framework For Urban Growth Prediction Using Remote Sensing And Video Prediction Technologies: A Time-Dependent Convolutional Encoder-Decoder Architecture, Ahmed Hassan Jaad

Civil and Environmental Engineering Theses and Dissertations

Studying the growth pattern of cities/urban areas has received considerable attention during the past few decades. The goal is to identify directions and locations of potential growth, assess infrastructure and public service requirements, and ensure the integration of the new developments with the existing city structure. This dissertation presents a novel model for urban growth prediction using a novel machine learning model. The model treats successive historical satellite images of the urban area under consideration as a video for which future frames are predicted. A time-dependent convolutional encoder-decoder architecture is adopted. The model considers as an input a satellite image …

Preparing Students For Digital Era Careers, Melissa Stange

Inquiry: The Journal of the Virginia Community Colleges

This paper will discuss why technical skills alone will not be enough for students to have successful careers in the digital age. Much of their success will hinge on critical soft skills, such as adaptability, inner strength, holistic thinking, and a collaborative spirit. Examples will be provided for inclusion with a computer science program, but in a way that is easily adaptable to other disciplines.

Anta: Accelerated Network Traffic Analytics., Matthew Grohotolski, Connor Dileo

Summer Scholarship, Creative Arts and Research Projects (SCARP)

Implementing traditional machine learning models and neural networks has become trivial in detecting malicious network traffic and has sparked interest in many researchers investigating this field. Standard implementations include using the baseline models in packages such as sklearn, tensorflow, and keras. In this paper we seek to advance the field of network detection and produce results which will have great benefits in terms of speed and performance of these models. We take advantage of Intel’s DAAL and OpenVINO packages as they are the two best performance enhancing methods which are publicly available today. Furthermore, comparisons will be made to determine …

The Prom Problem: Fair And Privacy-Enhanced Matchmaking With Identity Linked Wishes, Dwight Horne

Computer Science and Engineering Theses and Dissertations

In the Prom Problem (TPP), Alice wishes to attend a school dance with Bob and needs a risk-free, privacy preserving way to find out whether Bob shares that same wish. If not, no one should know that she inquired about it, not even Bob. TPP represents a special class of matchmaking challenges, augmenting the properties of privacy-enhanced matchmaking, further requiring fairness and support for identity linked wishes (ILW) – wishes involving specific identities that are only valid if all involved parties have those same wishes.

The Horne-Nair (HN) protocol was proposed as a solution to TPP along with a …

Automating Cyber Analytics, Matthew Zaber

Computer Science and Engineering Theses and Dissertations

Model based security metrics are a growing area of cyber security research concerned with measuring the risk exposure of an information system. These metrics are typically studied in isolation, with the formulation of the test itself being the primary finding in publications. As a result, there is a flood of metric specifications available in the literature but a corresponding dearth of analyses verifying results for a given metric calculation under different conditions or comparing the efficacy of one measurement technique over another. The motivation of this thesis is to create a systematic methodology for model based security metric development, analysis, …

First-Year Computer Science Students: Pathways And Perceptions In Introductory Computer Science Courses, Christina A. Leblanc

Electronic Theses and Dissertations

This study examined student perceptions and experiences of an introductory Computer Science course at the University of Maine; COS 125: Introduction to Problem Solving Using Computer Programs. It also explored the pathways that students pursue after taking COS 125, depending on their success in the course, and their motivation to persist. Through characterizing student populations and their performance in their first semester in the Computer Science program, they can be placed into one of three categories that explain their path; a “continuer” (passed COS 125 and decided to stay in the major), a “persister” (did not pass COS 125 and …

Heuristics For Sparsest Cut Approximations In Network Flow Applications, Fernando Vilas

Computer Science and Engineering Theses and Dissertations

The Maximum Concurrent Flow Problem (MCFP) is a polynomially bounded problem that has been used over the years in a variety of applications. Sometimes it is used to attempt to find the Sparsest Cut, an NP-hard problem, and other times to find communities in Social Network Analysis (SNA) in its hierarchical formulation, the HMCFP. Though it is polynomially bounded, the MCFP quickly grows in space utilization, rendering it useful on only small problems. When it was defined, only a few hundred nodes could be solved, where a few decades later, graphs of one to two thousand nodes can still be …

Csci 49378: Introduction To Distributed System And Cloudcomputing: Syllabus, Bonan Liu, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus: for CSCI 49378: Introduction to Distributed Systems and Cloud Computing (Spring 2020)

Cis 4400 Data Warehousing - Lecture 2, Royce Kok, B Madhusudan, Nyc Tech-In-Residence Corps

Open Educational Resources

Lecture 2 for CIS 4400: Data Warehousing (Spring 2020)

Cis 356-Zi81: Intermediate-Level Topics In Computer Applications (Spring 2020), Fahad Choudhury, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus for CIS 356-ZI81: Intermediate-Level Topics in Computer Applications (Spring 2020)

Topics In Artifical Intelligence, Hunter Mcnichols, Nyc Tech-In-Residence Corps

Open Educational Resources

Syllabus for the course "CSC 59974: Special Topics in Artificial Intelligence" delivered at the City College of New York in Spring 2020 by Hunter McNichols as part of the Tech-in-Residence Corps program.

Incorporating Digital Ethics Throughout The Software Development Process, Michael Collins, Damian Gordon, Anna Becevel, William O'Mahony

Conference papers

The media is reporting scandals associated with computer companies with increasing regularity; whether it is the misuse of user data, breach of privacy concerns, the use of biased artificial intelligence, or the problems of automated vehicles. Because of these complex issues, there is a growing need to equip computer science students with a deep appreciation of ethics, and to ensure that in the future they will develop computer systems that are ethically-based. One particularly useful strand of their education to incorporate ethics into is when teaching them about the formal approaches to developing computer systems.

There are a number of …

Improving Pain Management In Patients With Sickle Cell Disease Using Machine Learning Techniques, Fan Yang

Browse all Theses and Dissertations

Sickle cell disease (SCD) is an inherited red blood cell disorder that can cause a multitude of complications throughout a patient's life. Pain is the most common complication and a significant cause of morbidity. Since pain is a highly subjective experience, both medical providers and patients express difficulty in determining ideal treatment and management strategies for pain. Therefore, the development of objective pain assessment and pain forecasting methods is critical to pain management in SCD. On the other hand, the rapidly increasing use of mobile health (mHealth) technology and wearable devices gives the ability to build a remote health intervention …

Extracting Information From Subroutines Using Static Analysis Semantics, Luke A. Burnett

Browse all Theses and Dissertations

Understanding how a system component can interact with other services can take an immeasurable amount of time. Reverse engineering embedded and large systems can rely on understanding how components interact with one another. This process is time consuming and can sometimes be generalized through certain behavior.We will be explaining two such complicated systems and highlighting similarities between them. We will show that through static analysis you can capture compiler behavior and apply it to the understanding of a function, reducing the total time required to understand a component of whichever system you are learning.

Finding Data Races In Software Binaries With Symbolic Execution, Nathan D. Jackson

Browse all Theses and Dissertations

Modern software applications frequently make use of multithreading to utilize hardware resources better and promote application responsiveness. In these applications, threads share the program state, and synchronization mechanisms ensure proper ordering of accesses to the program state. When a developer fails to implement synchronization mechanisms, data races may occur. Finding data races in an automated way is an already challenging problem, but often impractical without source code or understanding how to execute the program under analysis. In this thesis, we propose a solution for finding data races on software binaries and present our prototype implementation BINRELAY. Our solution makes use …

From Rural To Urban: Understanding America Through The Census, R. Owen Hartman

Senior Projects Spring 2020

The first ever Senior Project to combine Historical Studies and Computer Science. Examining United States Census data from 1870 to 1930, "From Rural to Urban" explores the changes in American life that occurred during the industrial revolution at the turn of the 20th century.

Telecommunications Database, Tristan Hess

Williams Honors College, Honors Research Projects

The final goal of this project was to create a web application that is specifically tailored to make management of data for the Telecommunications department easier. The software that the department uses for phone service generates monthly reports that cannot be stored into their current database system. The Telecommunications Database project is a four-tier web application that was developed to store the monthly report information and alleviate the burden of manually searching through the reports for information. The web application implements basic database functionality for searching, inserting, updating, and deleting data contained in the monthly reports. Advanced searching functionality and …