Computer Sciences Commons^™

What Is The Vocabulary Of Flaky Tests?, Gustavo Pinto, Breno Miranda, Supun Dissanayake, Marcelo D'Amorim, Christoph Treude, Antonia Bertolino

Research Collection School Of Computing and Information Systems

Flaky tests are tests whose outcomes are non-deterministic. Despite the recent research activity on this topic, no effort has been made on understanding the vocabulary of flaky tests. This work proposes to automatically classify tests as flaky or not based on their vocabulary. Static classification of flaky tests is important, for example, to detect the introduction of flaky tests and to search for flaky tests after they are introduced in regression test suites. We evaluated performance of various machine learning algorithms to solve this problem. We constructed a data set of flaky and non-flaky tests by running every test case, …

The Impact Of Dynamics Of Collaborative Software Engineering On Introverts: A Study Protocol, Ingrid Nunes, Christoph Treude, Fabio Calefato

Research Collection School Of Computing and Information Systems

Background: Collaboration among software engineers through face-to-face discussions in teams has been promoted since the adoption of agile methods. However, these discussions might demote the contribution of software engineers who are introverts, possibly leading to sub-optimal solutions and creating work environments that benefit extroverts. Objective: We aim to evaluate whether providing software engineers with time to work individually and reason about a collective problem is a setting that makes introverts more comfortable to interact and contribute more, ultimately leading to better solutions. Method: We plan to conduct a between-subjects study, with teams in a control group that design a software …

Opinion-Aware Answer Generation For Review-Driven Question Answering In E-Commerce, Yang Deng, Wenxuan Zhang, Wai Lam

Research Collection School Of Computing and Information Systems

Product-related question answering (QA) is an important but challenging task in E-Commerce. It leads to a great demand on automatic review-driven QA, which aims at providing instant responses towards user-posted questions based on diverse product reviews. Nevertheless, the rich information about personal opinions in product reviews, which is essential to answer those product-specific questions, is underutilized in current generation-based review-driven QA studies. There are two main challenges when exploiting the opinion information from the reviews to facilitate the opinion-aware answer generation: (i) jointly modeling opinionated and interrelated information between the question and reviews to capture important information for answer generation, …

Presentation Of Computer Security Risk Information: Impact Of Framing And Base Size, Xinhui Zhan, Fiona Fui-Hoon Nah, Keng Siau, Richard Hall, Maggie Cheng

Research Collection School Of Computing and Information Systems

This research explores how the presentation of computer security risks impacts users’ risk perceptions and behavior. It draws on Prospect Theory to generate hypotheses related to users’ decision-making in the computer security context. A 2 × 3 mixed factorial experimental design (N = 178) was carried out and the results show that framing and base size of information on computer security risks influence users’ perceived risk and risk-taking behavior. More specifically, negative framing and large base size increase users’ perceived risk and reduce users’ risk-taking behavior. The findings from this research suggest that using negative framing and large base size …

Gesture Enhanced Comprehension Of Ambiguous Human-To-Robot Instructions, Weerakoon Mudiyanselage Dulanga Kaveesha Weerakoon, Vigneshwaran Subbaraju, Nipuni Karumpulli, Minh Anh Tuan Tran, Qianli Xu, U-Xuan Tan, Joo Hwee Lim, Archan Misra

Research Collection School Of Computing and Information Systems

This work demonstrates the feasibility and benefits of using pointing gestures, a naturally-generated additional input modality, to improve the multi-modal comprehension accuracy of human instructions to robotic agents for collaborative tasks.We present M2Gestic, a system that combines neural-based text parsing with a novel knowledge-graph traversal mechanism, over a multi-modal input of vision, natural language text and pointing. Via multiple studies related to a benchmark table top manipulation task, we show that (a) M2Gestic can achieve close-to-human performance in reasoning over unambiguous verbal instructions, and (b) incorporating pointing input (even with its inherent location uncertainty) in M2Gestic results in a significant …

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 …

Pod: Plenty Of Dogs, Adriana Moreira, Claudio Santana, Jordana Marques, Kevin Cardoso, Larissa Fernandes

ICT

Finding the ideal match for dog breeding has never been an easy task for most dog owners in different parts of the world, including Ireland. Seeking an opportunity to minimise this problem, a lovely user-friendly web application called Plenty Of Dogs (POD) was developed to facilitate dog owners to found a perfect match for their dogs, according to their search criteria. Besides that, dog owners will also be able to find new friends to their doggies. Initially, only the Republic of Ireland will be benefited from POD services.

To achieve this goal, this project was divided into five distinct phases: …

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 …

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 …

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 …

#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 …

Track My Ride, Cesar Padron Ramirez, Jady Silva Martins, Maria De La Luz Lagunas Modesto, Rodolfo Carvajal Marquez, Yuri Braga

ICT

Cycling has become more and more popular as a healthy activity and a transport option across many countries. This is not different in Ireland, a country where in April 2016, 56,837 people cycled to work; an increase of 43% since 2011 (Central statistics office, 2017).

Irish Government “committed to developing cycling as one of the most desirable modes of travel by 2020” as it plays an indispensable role in people’s lives (Sustainable transport division - department of transport, tourism and sport, 2009).

The “Balance” team managed to visualize that a strong cycling culture was becoming important in Ireland. Hence our …

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 …

Student Meetup: An Ajs Project, Alejandro Zeballos, Suelen De Campos Fiorelo, James Harris

ICT

This report focuses on our perceived lack of applications that can assist students in finding suitable environments in which they can study together. Our research has shown that while there are applications that are dedicated to helping students to study, none that we have found help students connect with one another, for the sole purpose of studying.

With our application, we intend to create a platform that will enable students to connect with each other, on both a website and a mobile application. We hope to give students the ability to create and join study sessions, as well as provide …

[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 …

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 …

Cusz: An Efficient Gpu-Based Error-Bounded Lossy Compression Framework For Scientific Data, Jiannan Tian, Sheng Di, Kai Zhao, Cody Rivera, Megan Hickman Fulp, Robert Underwood, Sian Jin, Xin Liang, For Full List Of Authors, See Publisher's Website.

Computer Science Faculty Research & Creative Works

Error-bounded lossy compression is a state-of-the-art data reduction technique for HPC applications because it not only significantly reduces storage overhead but also can retain high fidelityfor postanalysis. Because supercomputers and HPC applicationsare becoming heterogeneous using accelerator-based architectures,in particular GPUs, several development teams have recently released GPU versions of their lossy compressors. However, existingstate-of-the-art GPU-based lossy compressors suffer from eitherlow compression and decompression throughput or low compression quality. In this paper, we present an optimized GPU version,cuSZ, for one of the best error-bounded lossy compressors-SZ.To the best of our knowledge, cuSZ is the first error-boundedlossy compressor on GPUs for scientific data. …

Memory Foreshadow: Memory Forensics Of Hardware Cryptocurrency Wallets – A Tool And Visualization Framework, Tyler Thomas, Mathew Piscitelli, Ilya Shavrov, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

We present Memory FORESHADOW: Memory FOREnSics of HArDware cryptOcurrency Wallets. To the best of our knowledge, this is the primary account of cryptocurrency hardware wallet client memory forensics. Our exploratory analysis revealed forensically relevant data in memory including transaction history, extended public keys, passphrases, and unique device identifiers. Data extracted with FORESHADOW can be used to associate a hardware wallet with a computer and allow an observer to deanonymize all past and future transactions due to hierarchical deterministic wallet address derivation. Additionally, our novel visualization framework enabled us to measure both the persistence and integrity of artifacts produced by the …

Forecasting Vegetation Health In The Mena Region By Predicting Vegetation Indicators With Machine Learning Models, Sachi Perera, Wenzhao Li, Erik Linstead, Hesham El-Askary

Mathematics, Physics, and Computer Science Faculty Articles and Research

Machine learning (ML) techniques can be applied to predict and monitor drought conditions due to climate change. Predicting future vegetation health indicators (such as EVI, NDVI, and LAI) is one approach to forecast drought events for hotspots (e.g. Middle East and North Africa (MENA) regions). Recently, ML models were implemented to predict EVI values using parameters such as land types, time series, historical vegetation indices, land surface temperature, soil moisture, evapotranspiration etc. In this work, we collected the MODIS atmospherically corrected surface spectral reflectance imagery with multiple vegetation related indices for modeling and evaluation of drought conditions in the MENA …

Exploring The Learning Efficacy Of Digital Forensics Concepts And Bagging & Tagging Of Digital Devices In Immersive Virtual Reality, Courtney Hassenfeldt, Jillian Jacques, Ibrahim Baggili

Electrical & Computer Engineering and Computer Science Faculty Publications

This work presents the first account of evaluating learning inside a VR experience created to teach Digital Forensics (DF) concepts, and a hands-on laboratory exercise in Bagging & Tagging a crime scene with digital devices. First, we designed and developed an immersive VR experience which included a lecture and a lab. Next, we tested it with (n = 57) participants in a controlled experiment where they were randomly assigned to a VR group or a physical group. Both groups were subjected to the same lecture and lab, but one was in VR and the other was in the real world. …

Detecting Symptoms Of Chronic Obstructive Pulmonary Disease And Congestive Heart Failure Via Cough And Wheezing Sounds Using Smart-Phones And Machine Learning, Anthony Windmon

USF Tampa Graduate Theses and Dissertations

Chronic Obstructive Pulmonary Disease (COPD) and Congestive Heart Failure (CHF) are progressive disorders, and major health concerns among today’s aging population. COPD causes a large mucus buildup in the lungs, leading to chronic cough and difficulty to breathe. CHF causes fluid buildup in the lower lungs due to the failing heart, causing cough and difficulty to breath. People who are clinically diagnosed with COPD or CHF are expected to regularly monitor their symptoms and follow complex medical recommendations in an effort to prevent exacerbation. In this dissertation, we elaborate upon three different machine learning based techniques that we developed for …

Chess As A Testing Grounds For The Oracle Approach To Ai Safety, James D. Miller, Roman Yampolskiy, Olle Häggström, Stuart Armstrong

Faculty and Staff Scholarship

To reduce the danger of powerful super-intelligent AIs, we might make the first such AIs oracles that can only send and receive messages. This paper proposes a possibly practical means of using machine learning to create two classes of narrow AI oracles that would provide chess advice: those aligned with the player's interest, and those that want the player to lose and give deceptively bad advice. The player would be uncertain which type of oracle it was interacting with. As the oracles would be vastly more intelligent than the player in the domain of chess, experience with these oracles might …

Trainable Structure Tensors For Autonomous Baggage Threat Detection Under Extreme Occlusion, Taimur Hassan, Samet Akçay, Mohammed Bennamoun, Salman Khan, Naoufel Werghi

Computer Vision Faculty Publications

Detecting baggage threats is one of the most difficult tasks, even for expert officers. Many researchers have developed computer-aided screening systems to recognize these threats from the baggage X-ray scans. However, all of these frameworks are limited in identifying the contraband items under extreme occlusion. This paper presents a novel instance segmentation framework that utilizes trainable structure tensors to highlight the contours of the occluded and cluttered contraband items (by scanning multiple predominant orientations), while simultaneously suppressing the irrelevant baggage content. The proposed framework has been extensively tested on four publicly available X-ray datasets where it outperforms the state-of-the-art frameworks …

An Explainable And Statistically Validated Ensemble Clustering Model Applied To The Identification Of Traumatic Brain Injury Subgroups, Dacosta Yeboah, Louis Steinmeister, Daniel B. Hier, Bassam Hadi, Donald C. Wunsch, Gayla R. Olbricht, Tayo Obafemi-Ajayi

Electrical and Computer Engineering Faculty Research & Creative Works

We present a framework for an explainable and statistically validated ensemble clustering model applied to Traumatic Brain Injury (TBI). The objective of our analysis is to identify patient injury severity subgroups and key phenotypes that delineate these subgroups using varied clinical and computed tomography data. Explainable and statistically-validated models are essential because a data-driven identification of subgroups is an inherently multidisciplinary undertaking. In our case, this procedure yielded six distinct patient subgroups with respect to mechanism of injury, severity of presentation, anatomy, psychometric, and functional outcome. This framework for ensemble cluster analysis fully integrates statistical methods at several stages of …

Integrated Multiparametric Radiomics And Informatics System For Characterizing Breast Tumor Characteristics With The Oncotypedx Gene Assay, Michael A. Jacobs, Christopher B. Umbricht, Vishwa S. Parekh, Riham H. El Khouli, Leslie Cope, Katarzyna J. Macura, Susan Harvey, Antonio C. Wolff

Radiology Faculty Publications

Optimal use of multiparametric magnetic resonance imaging (mpMRI) can identify key MRI parameters and provide unique tissue signatures defining phenotypes of breast cancer. We have developed and implemented a new machine-learning informatic system, termed Informatics Radiomics Integration System (IRIS) that integrates clinical variables, derived from imaging and electronic medical health records (EHR) with multiparametric radiomics (mpRad) for identifying potential risk of local or systemic recurrence in breast cancer patients. We tested the model in patients (n = 80) who had Estrogen Receptor positive disease and underwent OncotypeDX gene testing, radiomic analysis, and breast mpMRI. The IRIS method was trained …

Feature Selection Via Random Subsets Of Uncorrelated Features, Long Kim Dang

USF Tampa Graduate Theses and Dissertations

The role of feature selection is crucial in many applications. A few of these include computational biology, image classification and risk management. In biology, gene expression micro array data sets have been used extensively in many areas of research. These data sets typically suffer from an important problem: the ratio between the number of features over the number of examples is very high. This problem mainly affects prediction accuracy because it is best to collect more labeled examples than features. A correlation based random subspace ensemble feature selector (CCC_RSM) was proposed to handle this problem [5]. In this approach, first …

Inheritance Details In Scala, Raffi Khatchadourian

Open Educational Resources

No abstract provided.

A Comprehensive Survey Of The Tactile Internet: State-Of-The-Art And Research Directions, Nattakorn Promwongsa, Amin Ebrahimzadeh, Diala Naboulsi, Somayeh Kianpisheh, Fatna Belqasmi, Roch Glitho, Noel Crespi, Omar Alfandi

All Works

The Internet has made several giant leaps over the years, from a fixed to a mobile Internet, then to the Internet of Things, and now to a Tactile Internet. The Tactile Internet goes far beyond data, audio and video delivery over fixed and mobile networks, and even beyond allowing communication and collaboration among things. It is expected to enable haptic communications and allow skill set delivery over networks. Some examples of potential applications are tele-surgery, vehicle fleets, augmented reality and industrial process automation. Several papers already cover many of the Tactile Internet-related concepts and technologies, such as haptic codecs, applications, …