Engineering Commons^™

A User Study Of A Wearable System To Enhance Bystanders’ Facial Privacy, Alfredo J. Perez, Sherali Zeadally, Scott Griffith, Luis Y. Matos Garcia, Jaouad A. Mouloud

Information Science Faculty Publications

The privacy of users and information are becoming increasingly important with the growth and pervasive use of mobile devices such as wearables, mobile phones, drones, and Internet of Things (IoT) devices. Today many of these mobile devices are equipped with cameras which enable users to take pictures and record videos anytime they need to do so. In many such cases, bystanders’ privacy is not a concern, and as a result, audio and video of bystanders are often captured without their consent. We present results from a user study in which 21 participants were asked to use a wearable system called …

A Bibliometric Analysis Of Online Extremism Detection, Mayur Gaikwad, Swati Ahirrao, Shraddha Pankaj Phansalkar, Ketan Kotecha

Library Philosophy and Practice (e-journal)

The Internet has become an essential part of modern communication. People are sharing ideas, thoughts, and beliefs easily, using social media. This sharing of ideas has raised a big problem like the spread of the radicalized extremist ideas. The various extremist organizations use the social media as a propaganda tool. The extremist organizations actively radicalize and recruit youths by sharing inciting material on social media. Extremist organizations use social media to influence people to carry out lone-wolf attacks. Social media platforms employ various strategies to identify and remove the extremist content. But due to the sheer amount of data and …

Framing Energy And Minerals For Future Pathways, Michelle Michot Foss, Michael S. Moats, Kwame Awuah-Offei

Materials Science and Engineering Faculty Research & Creative Works

We present a challenge for Group of Twenty (G20) discussions that entails (1) greater awareness of the role of non-fuel minerals in the global economy overall, but specifically in the energy sector; and (2) the introduction and acceleration of alternative energy sources and technologies. We focus on chemical battery energy storage, given its prominence in all views and outlooks of energy futures, especially for mobility. We present recommendations for G20 discussions and actions on battery materials, and the crucial underlying supply chains for mineral commodities.

Analysis Effect Of Audit Information Technology : Green Technology, Smart System And Innovation Behavior Working For Improving Business Services University In Indonesia, Merlin Apriliyanti, Ilham M, Tanti Handriana, Indrianawati Usman

Library Philosophy and Practice (e-journal)

This study was conducted to determine the effectiveness and efficiency of the use of technology and integrated information systems and recommend the development of new systems at PTKIN (UIN Sunan Ampel Surabaya and UIN Maulana Malik Ibrahim Malang). The study of information technology management in tertiary institutions aims to measure the extent to which the application of information technology is able to support the activities of the Tri Dharma College in order to achieve world class universities. In measuring the results of the audit of information technology management the tertiary institution will conduct evaluation, monitoring and further development of information …

The Influence Of Information Technology Governance Audit Using Cobit 5 For The Development Public Library : (Case Study : Public Library In East Java ), Ilham M, Anis Eliyana, Indrianawati Usman

Library Philosophy and Practice (e-journal)

This study current technological developments have entered almost into the lines of people's lives. Currently, many public library have grown even bigger. And this development does not escape the good management of information technology governance. To maximize management to a better level, public library need information technology governance audits. The information technology audit used in this study uses the COBIT 5 framework which focuses on the APO04 and DSS01 domains. This study aims to improve the quality of services owned and to increase its competitiveness. The results of this study refer to the vision and mission of the public library …

Increasing Concurrence Of Wildfire Drivers Tripled Megafire Critical Danger Days In Southern California Between 1982 And 2018, Mohammad Sadegh Khorshidi, Philip E. Dennison, Mohammad Reza Nikoo, Amir Aghakouchak, Charles H. Luce, Mojtaba Sadegh

Civil Engineering Faculty Publications and Presentations

Wildfire danger is often ascribed to increased temperature, decreased humidity, drier fuels, or higher wind speed. However, the concurrence of drivers—defined as climate, meteorological and biophysical factors that enable fire growth—is rarely tested for commonly used fire danger indices or climate change studies. Treating causal factors as independent additive influences can lead to inaccurate inferences about shifting hazards if the factors interact as a series of switches that collectively modulate fire growth. As evidence, we show that in Southern California very large fires and 'megafires' are more strongly associated with multiple drivers exceeding moderate thresholds concurrently, rather than direct relationships …

Santa Clara Magazine, Volume 61 Number 3, Fall 2020 [Print Issue V.61:2], Santa Clara University

Santa Clara Magazine

16 - THE GIFT Is sacrifice, given willingly and with love, what makes us human? Leslie Griffy.

20 - NOT A MOMENT, BUT A MOVEMENT From protests in Benson in 1969 to a multi-decade movement called Unity, students of color have consistently pushed SCU to progress. Matt Morgan.

28 - ON BEING BETTER Discover the ways we can better support each other, particularly as white people seek to become allies to people of color. Lauren Loftus.

32 - THE SACRIFICIAL TWEET Social media missteps are costly, perhaps now more than ever. Just what are we willing to give up to …

An Equity Focused Study On The Trip Temporal Distributions Of Vulnerable Road Users, Santiago Espinosa Wild

Civil and Environmental Engineering Master's Project Reports

The United States is a megadiverse nation with a transportation system that, for decades, was designed to serve primarily able-bodied, white, male motorists. This legacy creates a situation in which varying socio-demographic groups experience the transportation system differently with contrasting safety, accessibility, and convenience outcomes. This project introduces descriptive statistics and binary logistic models that provide transportation professionals and policy makers with a quantitative understanding on how, why, and when certain socio-demographic groups are more likely to engage in a trip. This project provides tools to measure and understand the equity implications of a wide array of transportation policy decisions. …

Online Traffic Signal Control Through Sample-Based Constrained Optimization, Srishti Dhamija, Alolika Gon, Pradeep Varakantham, William Yeoh

Research Collection School Of Computing and Information Systems

Traffic congestion reduces productivity of individuals by increasing time spent in traffic and also increases pollution. To reduce traffic congestion by better handling dynamic traffic patterns, recent work has focused on online traffic signal control. Typically, the objective in traffic signal control is to minimize expected delay over all vehicles given the uncertainty associated with the vehicle turn movements at intersections. In order to ensure responsiveness in decision making, a typical approach is to compute a schedule that minimizes the delay for the expected scenario of vehicle movements instead of minimizing expected delay over the feasible vehicle movement scenarios. Such …

Deep Reinforcement Learning Approach To Solve Dynamic Vehicle Routing Problem With Stochastic Customers, Waldy Joe, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

In real-world urban logistics operations, changes to the routes and tasks occur in response to dynamic events. To ensure customers’ demands are met, planners need to make these changes quickly (sometimes instantaneously). This paper proposes the formulation of a dynamic vehicle routing problem with time windows and both known and stochastic customers as a route-based Markov Decision Process. We propose a solution approach that combines Deep Reinforcement Learning (specifically neural networks-based TemporalDifference learning with experience replay) to approximate the value function and a routing heuristic based on Simulated Annealing, called DRLSA. Our approach enables optimized re-routing decision to be generated …

Agent-Based Modelling Of Values: The Case Of Value Sensitive Design For Refugee Logistics, Christine Boshuijzen-Van Burken, Ross J. Gore, Frank Dignum, Lamber Royakkers, Phillip Wozny, F. Leron Shults

VMASC Publications

We have used value sensitive design as a method to develop an agent-based model of values in humanitarian logistics for refugees. Schwartz’s theory of universal values is implemented in the model in such a way that agents can make value trade-offs, which are operationalized into a measure of refugee wellbeing and a measure of public opinion about how the refugee logistics is being handled. By trying out different ‘value scenarios’, stakeholders who are responsible for, or involved in refugee logistics can have insights into the effects of various value choices. The model is visualized and made usable as a platform …

Humans-As-A-Sensor For Buildings — Intensive Longitudinal Indoor Comfort Models, Prageeth Jayathissa, Matias Quintana, Mahmoud Abdelrahman, Clayton Miller

Research Collection College of Integrative Studies

Evaluating and optimising human comfort within the built environment is challenging due to the large number of physiological, psychological and environmental variables that affect occupant comfort preference. Human perception could be helpful to capture these disparate phenomena and interpreting their impact; the challenge is collecting spatially and temporally diverse subjective feedback in a scalable way. This paper presents a methodology to collect intensive longitudinal subjective feedback of comfort-based preference using micro ecological momentary assessments on a smartwatch platform. An experiment with 30 occupants over two weeks produced 4378 field-based surveys for thermal, noise, and acoustic preference. The occupants and the …

The Building Data Genome Project 2, Energy Meter Data From The Ashrae Great Energy Predictor Iii Competition, Clayton Miller, Anjukan Kathirgamanathan, Bianca Picchetti, Pandarasamy Arjunan, Young June Park, Zoltan Nagy, Paul Raftery, W. Brodie Hobson, Zixiao Shi, Forrest Meggers

Research Collection College of Integrative Studies

This paper describes an open data set of 3,053 energy meters from 1,636 non-residential buildings with a range of two full years (2016 and 2017) at an hourly frequency (17,544 measurements per meter resulting in approximately 53.6 million measurements). These meters were collected from 19 sites across North America and Europe, with one or more meters per building measuring whole building electrical, heating and cooling water, steam, and solar energy as well as water and irrigation meters. Part of these data was used in the Great Energy Predictor III (GEPIII) competition hosted by the American Society of Heating, Refrigeration, and …

Non-Conventional Vehicles As A Way Towards Carbon Neutrality In Iceland, Julia Sokolowska

Independent Study Project (ISP) Collection

Paris Agreement’s chief objective is to protect the Earth and its inhabitants from a point of no return, when the effects of climate change will be so intense that they will shift the equilibrium of ecosystems. The distinctiveness of this international environmental treaty is that it does not impose climate change mitigation measures, but rather allows nation states to create their own set of measures, the NDCs, to reach the global warming of ‘well below 2oC’ by the end of the century. Thus, Iceland has submitted its own NDC, the Climate Action Plan 2018-2030, which has an ambitious goal of …

2019-2020 Annual Security And Fire Report - Sayre Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2019-2020 Annual Security and Fire Report of the Sayre Campus by Southwestern Oklahoma State University.

2019-2020 Annual Security And Fire Report - Weatherford Campus, Southwestern Oklahoma State University

ANNUAL SECURITY & FIRE REPORTS

This is the 2019-2020 Annual Security and Fire Report of the Weatherford Campus by Southwestern Oklahoma State University.

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 …

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. …

Fixing Social Media: Toward A Democratic Digital Commons, Michael Kwet

Markets, Globalization & Development Review

In the past few years, big Social Media networks like Facebook, Twitter, and YouTube have received intense scrutiny from the intellectual classes. This article critiques the dominant strain of criticism, the neo-Brandeisian School of antitrust, for its narrow focus on “regulated competition” as an appropriate means to “fix social media”. This essay calls for a socialist alternative: a democratic social media commons based on free and open source technology, decentralization, and democratic socialist legal solutions. It reviews how existing solutions like the Fediverse and LibreSocial work, and how they may provide answers for a better way forward.

An Evaluation Of Technical Oral Presentation Components In Engineering, Mohamed Abdullah Adnan

Student Works (2020-2029)

This case study evaluates implementation of Technical Oral Presentations (TOP) components in English for Specific Academic Purposes (ESAP) language course for engineering undergraduates at a technical university. The respondents were 310 engineering undergraduates who registered for English Technical Communication (ETC) course and 12 instructors from Universiti Malaysia Pahang. The case study employs Convergent Parallel design to collect data in all four evaluation components of Context, Input, Process and Product (CIPP) Evaluation Model. Two questionnaires were administered in this study. The Questionnaire Set A were distributed to English language instructors teaching English for Technical Communication course while the Questionnaire Set B …

Nebraska State And Federal Tax Issues: Opinions Of Rural Nebraskans, John C. Allen, Sam Cordes, Amy M. Smith, Matt Spilker, Amber Hamilton

Rural Futures Institute: Publications

Includes

Executive summary

Introduction

Methodology

Respondent profile

Findings

Nebraska Tax Issues

Federal Government Deficit Reduction

Federal Taxation Options

Federal Program Reduction Alternatives

Conclusions

Back To The Future With Higher Ed: A Sample Of Drupal Sites At Uga, Rachel S. Evans, Deborah Stanley, Delmaries I. Gray, Lauren Blais

Presentations

Consisting of a show and tell of a selection of large and small site installations from various departments, schools and colleges at the University of Georgia, panelists including back end and front end developers, public relations experts, librarians, and web coordinators will share their ship's timeline with Drupal versions and examples from the past, present and future. A moderator will then ask questions of panelists including: the biggest challenges they have faced with migrations and upgrades, the issues or blessings of more cohesive branding initiatives over the last few years, and their visions, concerns, and hopes for the future. In …

Personalized Medicine: The Use Of Biomarkers And Molecularly Targeted Therapies For Patient Care And Cancer Intervention, Wafa Asad, Emily Schmitt Lavin

Mako: NSU Undergraduate Student Journal

Personalized medicine and targeted therapy have been emerging fields of study for the remediation and inhibition of cancer. Personalized medicine in the treatment of cancer involves using genetic, immune, and proteomic profiling to provide therapeutic options as well as prognostic background for every patient and their tumor’s genetic mutations. Targeted therapies allow researchers and medical personnel alike to determine the appropriate treatment for a patient based on the molecular basis and mechanistic actions of a cancerous tumor. The overall significance of this study was to express how these treatments use biomarkers to pinpoint the location, and severity of the cancer, …

Trainer Appropriation And Transfer Of A New Prevention Approach In Material Handling Based On Action Principles, Denys Denis, Maud Gonella, Marie Comeau, Martin Lauzier

Rapports de recherche scientifique

Mise en contexte et objectif

Prenant acte du constat d’échec des formations à la manutention axées sur l’enseignement exclusif de la technique sécuritaire « dos droit – genoux fléchis », une nouvelle approche d’intervention dite « stratégie intégrée de prévention en manutention » (SIPM) a été proposée en 2011. Son originalité repose, entre autres, sur l’utilisation de neuf principes d’action permettant de comprendre et de commenter la richesse des techniques de manutention utilisées naturellement par les manutentionnaires dans leur milieu de travail. L’étude a pour objectif central d’évaluer l’appropriation et le transfert de la SIPM par un groupe d’intervenants formés …

Bus Frequency Optimization: When Waiting Time Matters In User Satisfaction, Songsong Mo, Zhifeng Bao, Baihua Zheng, Zhiyong Peng

Research Collection School Of Computing and Information Systems

Reorganizing bus frequency to cater for the actual travel demand can save the cost of the public transport system significantly. Many, if not all, existing studies formulate this as a bus frequency optimization problem which tries to minimize passengers’ average waiting time. However, many investigations have confirmed that the user satisfaction drops faster as the waiting time increases. Consequently, this paper studies the bus frequency optimization problem considering the user satisfaction. Specifically, for the first time to our best knowledge, we study how to schedule the buses such that the total number of passengers who could receive their bus services …

Zone Path Construction (Zac) Based Approaches For Effective Real-Time Ridesharing, Meghna Lowalekar, Pradeep Varakantham, Patrick Jaillet

Research Collection School Of Computing and Information Systems

Real-time ridesharing systems such as UberPool, Lyft Line, GrabShare have become hugely popular as they reduce the costs for customers, improve per trip revenue for drivers and reduce traffic on the roads by grouping customers with similar itineraries. The key challenge in these systems is to group the "right" requests to travel together in the "right" available vehicles in real-time, so that the objective (e.g., requests served, revenue or delay) is optimized. This challenge has been addressed in existing work by: (i) generating as many relevant feasible (with respect to the available delay for customers) combinations of requests as possible …

A Genetic Algorithm To Minimise Number Of Vehicles In An Electric Vehicle Routing Problem, Kiian Leong Bertran Queck, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Electric Vehicles (EVs) and charging infrastructure are starting to become commonplace in major cities around the world. For logistics providers to adopt an EV fleet, there are many factors up for consideration, such as route planning for EVs with limited travel range as well as long-term planning of fleet size. In this paper, we present a genetic algorithm to perform route planning that minimises the number of vehicles required. Specifically, we discuss the challenges on the violations of constraints in the EV routing problem (EVRP) arising from applying genetic algorithm operators. To overcome the challenges, techniques specific to addressing the …

Characteristics Of Effective Metropolitan Areawide Public Transit: A Comparison Of European, Canadian, And Australian Case Studies, Michelle Derobertis, Christopher E. Ferrell, Richard W. Lee, John M. Eells

Mineta Transportation Institute

This research project investigates the replicable characteristics, policies, and practices of successful metropolitan areawide public transportation networks that contribute to high usage and make transit an effective competitor to the private motor vehicle. The research method involves the qualitative and quantitative analysis of ten international (non-U.S.) case studies. The principal methods employed were web-based research and data collection, as well as telephone interviews with transit agency staff or regional planners as needed. The case studies were limited to developed western countries with similar metropolitan conditions to those in the United States.

This research focuses on key characteristics of highly effective …

Investigating The Combined Effects Of Whole Body Vibration And Vestibular Stimulation On Spasticity And Dystonia In Cerebral Palsy, Peter A. Michael

Dissertations

This study identifies and addresses three voids and potential shortcomings associated with the classification, assessment and management of Cerebral Palsy (CP). These concerns should not undermine the significant advancement that has been made in this specific branch of rehabilitation, but addressing them is necessary. Cerebral Palsy is a group of motor impairments due to hypoxic-ischemic brain damage around the time of birth and very commonly manifests as excessive muscle tone and poor motor control. There are classifications within CP including spasticity and dystonia.

First, a level of discrepancy is present in the classification of CP between the clinical and research …

Cyber Social Threats 2020 Workshop Meta-Report: Covid-19, Challenges, Methodological And Ethical Considerations, Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, Amit Sheth

Publications

Online platforms have been increasingly misused by ill-intentioned actors, affecting our society, often leading to real-world events of social significance. On the other hand, recog-nizing the narratives related to harmful behaviors is challeng-ing due to its complex and sensitive nature. The Cyber SocialThreats Workshop 2020 aimed to stimulate research for thechallenges on methodological and ethical considerations indeveloping novel approaches to analyze online harmful con-versations, concerning social, cultural, emotional, commu-nicative, and linguistic aspects. It provided a forum to bringtogether researchers and practitioners from both academiaand industry in the areas of computational social sciences, so-cial network analysis and mining, natural language process-ing, …