Jitim Front Cover Vol 31 1 2022,
2022
California State University, San Bernardino
Jitim Front Cover Vol 31 1 2022
Journal of International Technology and Information Management
Table of Content JITIM Vol 31. issue 1, 2022
Intelligent Voice Guidance In Vr: Understanding The Value Of Nlp In Virtual Environments,
2022
Dartmouth College
Intelligent Voice Guidance In Vr: Understanding The Value Of Nlp In Virtual Environments, Zhiyu Xiao
Dartmouth College Master’s Theses
Virtual assistants such as Google Assistant, Alexa and Siri emerged because of the growth of NLP(natural language processing) technology. At the same time, virtual reality has developed rapidly in recent years and has become a crucial tool in engineering product development procedures. However, people feel overwhelmed in some complicated VR environments. Thus, this thesis tries to incorporate NLP technology into the VR environment and explores the value of intelligent voice guidance in VR environments. In this thesis, a car repair training system with intelligent voice guidance is designed: users can utilize voice to perform various tasks in this system, such …
A Risk-Averse Mechanism For Suicidality Assessment On Social Media,
2022
University of South Carolina - Columbia
A Risk-Averse Mechanism For Suicidality Assessment On Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur
Publications
Recent studies have shown that social media has increasingly become a platform for users to express suicidal thoughts outside traditional clinical settings. With advances in Natural Language Processing strategies, it is now possible to design automated systems to assess suicide risk. However, such systems may generate uncertain predictions, leading to severe consequences. We hence reformulate suicide risk assessment as a selective prioritized prediction problem over the Columbia Suicide Severity Risk Scale (C-SSRS). We propose SASI, a risk-averse and self-aware transformer-based hierarchical attention classifier, augmented to refrain from making uncertain predictions. We show that SASI is able to refrain from 83% …
The Lognometer: A New Normalized And Computerized Device For Assessing The Neurodevelopment Of Fine Motor Control In Children,
2022
University of South Carolina - Columbia
The Lognometer: A New Normalized And Computerized Device For Assessing The Neurodevelopment Of Fine Motor Control In Children, Christian O'Reilly, Rejean Plamondon, Nadir Faci
Publications
Motor skills are fundamental for the development of children. Neurodevelopmental tests currently used by professionals for measuring motor control maturity exhibit several limitations. To address some of these, we have designed the Lognometer, a tablet-based device that can run computerized neuromotor tests. To normalize this tool against a representative population, we collected handwritten triangles from 780 children. We used the Sigma-Lognormal model and a prototype-based parameter estimation algorithm to analyze these movements. To ensure clinical acceptance, we developed an explainable solution relying on statistical regression. We evaluated how well the proposed lognormal decomposition captures the motor control maturation between 6 …
Artificial Intelligence (Ai): The New Look Of Customer Service In A Cybersecurity World,
2022
Embry-Riddle Aeronautical University
Artificial Intelligence (Ai): The New Look Of Customer Service In A Cybersecurity World, Sharon L. Burton
Publications
Cybersecurity leaders are not adequately developed to guide the re-engineering of quality customer service (QCS) workflows, designed with automation and AI, that interrelate with people through customers’ perceptions. Realizing re-engineering processes should be a team effort with well-versed leadership and stakeholders guiding the successful design through a follow-up process. Leaders must shape compelling and straightforward needs to learn and teach employees and chat boxes indispensable customer service skills demonstrating patience, self-discipline, flexibility, and resourcefulness in communication with irritated customers or difficult circumstances. Whether the analysis, design, development, and implementation struggles are vacuums in cybersecurity knowledge, skill, and abilities or a …
Predicting Blood Glucose Levels Using Reservoir Computing,
2022
Portland State University
Predicting Blood Glucose Levels Using Reservoir Computing, Nihar Koppolu
Maseeh Summer Undergraduate Research Experience
Purpose: Long term goal: Create adaptive systems that predict biosignals (glucose levels, blood-oxygen saturation, etc) using biological components such as DNA strands. Current short term task: Build a reservoir computing algorithm capable of predicting glucose levels 5 minutes in advance given a time series of blood glucose levels at-least an hour length.
Adaptive Robotics Lab Projects,
2022
Portland State University
Adaptive Robotics Lab Projects, Art Jerome
Maseeh Summer Undergraduate Research Experience
One of the lab’s primary projects is the quadruped robot. This is designed to replicate the anatomy of a biological quadruped, utilizing artificial pneumatic muscles instead of motors. The biological design allows it to act as a test platform for neural nets and machine learning.
Characterizing Electrically Small Antennas At 2.4ghz,
2022
Portland State University
Characterizing Electrically Small Antennas At 2.4ghz, Luis Brennan
Maseeh Summer Undergraduate Research Experience
Antenna size is a limiting factor for small scale RFIC used in application such as IoT and wireless sensor networks. Many electrically small antenna designs are available but without robust characterization. This study established and tests a method for antenna characterization, useful for future design iteration.
Dark Patterns: Effect On Overall User Experience And Site Revisitation,
2022
Technological University Dublin
Dark Patterns: Effect On Overall User Experience And Site Revisitation, Deon Soul Calawen
Dissertations
Dark patterns are user interfaces purposefully designed to manipulate users into doing something they might not otherwise do for the benefit of an online service. This study investigates the impact of dark patterns on overall user experience and site revisitation in the context of airline websites. In order to assess potential dark pattern effects, two versions of the same airline website were compared: a dark version containing dark pattern elements and a bright version free of manipulative interfaces. User experience for both websites were assessed quantitatively through a survey containing a User Experience Questionnaire (UEQ) and a System Usability Scale …
Direct And Constructivist Approaches For The Design Of Instruction In Well-Structured Domains: A Comparison Of Efficiency Via Mental Workload And Performance.,
2022
Technological University Dublin
Direct And Constructivist Approaches For The Design Of Instruction In Well-Structured Domains: A Comparison Of Efficiency Via Mental Workload And Performance., Giuliano Orru
Dissertations
This doctoral research investigates the efficiency of two instructional designs: a design based on the direct-instruction approach to learning and its extension with a collaborative activity based upon the community of inquiry approach to learning. This is motivated by the educational challenge associated with the improvement of the learning phase. The goal is to investigate the extent to which highly guided communities of inquiry, when added to direct-instruction teaching methods, can actually improve the efficiency of learners. A total of 577 students participated in the experiments across 24 third-level classes that were divided into two groups. A control group of …
Kg-Cnn: Augmenting Convolutional Neural Networks With Knowledge Graphs For Multi-Class Image Classification,
2022
Technological University Dublin, Ireland
Kg-Cnn: Augmenting Convolutional Neural Networks With Knowledge Graphs For Multi-Class Image Classification, Aidan O'Neill
Dissertations
Computer vision is slowly becoming more and more prevalent in daily life. Tesla has recently announced that it plans to scale up the manufacturing of their Robotaxis by 2024, with this increase in self-driving vehicles being just one example, the importance of computer vision is growing year by year. Vision can be easy to take for granted, as most humans grow up using vision as their primary way of absorbing environmental information. The way humans process and classify visual information differs significantly from how current computer vision systems process and organise visual information. The human brain can use its past …
The Impact Of Emotion Focused Features On Svm And Mlr Models For Depression Detection,
2022
Technological University Dublin, Ireland
The Impact Of Emotion Focused Features On Svm And Mlr Models For Depression Detection, Alexandria Mulligan
Dissertations
Major depressive disorder (MDD) is a common mental health diagnosis with estimates upwards of 25% of the United States population remain undiagnosed. Psychomotor symptoms of MDD impacts speed of control of the vocal tract, glottal source features and the rhythm of speech. Speech enables people to perceive the emotion of the speaker and MDD decreases the mood magnitudes expressed by an individual. This study asks the questions: “if high level features deigned to combine acoustic features related to emotion detection are added to glottal source features and mean response time in support vector machines and multivariate logistic regression models, would …
An Investigation Of The Relationship Between Subjective Mental Workload And Objective Indicators Of User Activity,
2022
Technological University Dublin
An Investigation Of The Relationship Between Subjective Mental Workload And Objective Indicators Of User Activity, Greg Byrne
Dissertations
Whilst the concept of physical workload is intuitively understood and readily applicable in system design, the same cannot be said of mental workload (MWL), despite its importance in our increasingly technological society. Despite its origin in the mid 20th century, the very concept of ”mental workload” is still a topic of debate in the literature, although it can be loosely defined as “the amount of mental work necessary for a person to complete a task” (Miller, 1956; Longo, 2014). Several methods have been utilized to measure of MWL, including physiological methods such as neuro-imagery, performance-based metrics, and subjective measures via …
Real-Time Stock Market Recommendation & Prediction Using Multi Source Data,
2022
Technological University Dublin, Ireland
Real-Time Stock Market Recommendation & Prediction Using Multi Source Data, Kalpana Konety
Dissertations
Stock investors must be cognizant of both the current price of their stock and the price at which they want to sell it in the future. This does not stop investors to monitor past price patterns and apply their knowledge to the present. ’Past performance is not an indicator of future success’, as the saying goes. To put it another way, historical stock data alone isn’t enough to forecast future stock prices. Another key factor to consider in a trading strategy is the impact of market psychology. Financial data, which is a type of multimedia data, provides a wealth of …
Performance Evaluation Of An Edge Computing Implementation Of Hyperledger Sawtooth For Iot Data Security,
2022
Technological University Dublin, Ireland
Performance Evaluation Of An Edge Computing Implementation Of Hyperledger Sawtooth For Iot Data Security, Sean Connolly
Dissertations
Blockchain offers a potential solution to some of the security challenges faced by the internet-of-things (IoT) by using its practically immutable ledger to store data transactions. However, past applications of blockchain in IoT encountered limitations in the rate at which transactions were committed to the chain as new blocks. These limitations were often the result of the time-consuming and computationally expensive consensus mechanisms found in public blockchains. Hyperledger Sawtooth is an open-source private blockchain platform that offers an efficient proof-of-elapsed-time (PoET) consensus mechanism. Sawtooth has performed well in benchmarks against other blockchains. However, a performance evaluation for a practical application …
Deep Residual Policy Reinforcement Learning As A Corrective Term In Process Control For Alarm Reduction: A Preliminary Report,
2022
Software Competence Center Hagenberg, Austria
Deep Residual Policy Reinforcement Learning As A Corrective Term In Process Control For Alarm Reduction: A Preliminary Report, Ammar N. Abbas, Georgios C. Chasparis, John Kelleher
Articles
Conventional process controllers (such as proportional integral derivative controllers and model predictive controllers) are simple and effective once they have been calibrated for a given system. However, it is difficult and costly to re-tune these controllers if the system deviates from its normal conditions and starts to deteriorate. Recently, reinforcement learning has shown a significant improvement in learning process control policies through direct interaction with a system, without the need of a process model or the system characteristics, as it learns the optimal control by interacting with the environment directly. However, developing such a black-box system is a challenge when …
A Graph-Based Approach To Boundary Estimation With Mobile Sensors,
2022
Portland State University
A Graph-Based Approach To Boundary Estimation With Mobile Sensors, Sean Onufer Stalley, Dingyu Wang, Gautam Dasarathy, John Lipor
Electrical and Computer Engineering Faculty Publications and Presentations
We consider the problem of adaptive sampling for boundary estimation, where the goal is to identify the two dimensional spatial extent of a phenomenon of interest. Motivated by applications in estimating the spread of wildfires with a mobile sensor, we present a novel graph-based algorithm that is efficient in both the number of samples taken and the distance traveled. The key idea behind our approach is that by sampling locations close to known cut edges (edges whose vertices lie on opposite sides of the boundary), we can reliably find additional cut edges. Our approach repeats this process of using the …
Collective Action On Behalf Of Women: Testing The Conceptual Distinction Between Traditional Collective Action And Small Acts In College Women,
2022
University of Wisconsin-Oshkosh
Collective Action On Behalf Of Women: Testing The Conceptual Distinction Between Traditional Collective Action And Small Acts In College Women, Anca M. Miron, Thomas C. Ball, Nyla R. Branscombe, Monica Fieck, Cristinel Ababei, Serena Raymer, Baylee Tkaczuk, Megan M. Meives
Electrical and Computer Engineering Faculty Research and Publications
The current study examines the nature of actions that U.S. college women (N = 267) engage in to promote, protect, or enhance the welfare of other women. The study had two goals: 1) to distinguish between traditional forms of action (traditional collective action) and more informal, interpersonal, forms of action (small acts) among college women; and 2) to test whether the classic antecedents of collective action (gender identity, feminist identity, women’s activist identity, efficacy, appraisals of gender inequality, and injustice standards) are differentially predictive of these two types of participation. A confirmatory factor analysis provided strong support for these two …
A Literature Review On Combining Heuristics And Exact Algorithms In Combinatorial Optimization,
2022
Old Dominion University
A Literature Review On Combining Heuristics And Exact Algorithms In Combinatorial Optimization, Hesamoddin Tahami, Hengameh Fakhravar
Engineering Management & Systems Engineering Faculty Publications
There are several approaches for solving hard optimization problems. Mathematical programming techniques such as (integer) linear programming-based methods and metaheuristic approaches are two extremely effective streams for combinatorial problems. Different research streams, more or less in isolation from one another, created these two. Only several years ago, many scholars noticed the advantages and enormous potential of building hybrids of combining mathematical programming methodologies and metaheuristics. In reality, many problems can be solved much better by exploiting synergies between these approaches than by “pure” classical algorithms. The key question is how to integrate mathematical programming methods and metaheuristics to achieve such …
Agile Research - Getting Beyond The Buzzword,
2022
Old Dominion University
Agile Research - Getting Beyond The Buzzword, Trupti Narayan Rane
Engineering Management & Systems Engineering Faculty Publications
"Oh yeah, we're an Agile shop, we gave up Waterfall years ago." - product owners, managers, or could be anyone else. You will seldom have a conversation with a product or software development team member without the agile buzzword thrown at you at the drop of a hat. It would not be an oversell to say that Agile software development has been adopted at a large scale across several big and small organizations. Clearly, Agile is an ideology that is working, which made me explore more on its applicability in research. As someone who has been in the Information Technology …
