Choosing Wearable Internet Of Things Devices For Managing Safety In Construction Using Fuzzy Analytic Hierarchy Process As A Decision Support System,
2022
Marshall University
Choosing Wearable Internet Of Things Devices For Managing Safety In Construction Using Fuzzy Analytic Hierarchy Process As A Decision Support System, Sharique Khalid
Theses, Dissertations and Capstones
Many safety and health risks are faced daily by workers in the field of construction. There is unpredictability and risk embedded in the job and work environment. When compared with other industries, the construction industry has one of the highest numbers of worker injuries, illnesses, fatalities, and near-misses. To eliminate these risky events and make worker performance more predictable, new safety technologies such as the Internet of Things (IoT) and Wearable Sensing Devices (WSD) have been highlighted as effective safety systems. Some of these Wearable Internet of Things (WIoT) and sensory devices are already being used in other industries to …
A Trusted Platform For Unmanned Aerial Vehicle-Based Bridge Inspection Management System,
2022
Marshall University
A Trusted Platform For Unmanned Aerial Vehicle-Based Bridge Inspection Management System, Hwapyeong Song
Theses, Dissertations and Capstones
Bridge inspection has a pivotal role in assuring the safety of critical structures constituting society. However, high cost, worker safety, and low objectivity of quality are classic problems in traditional visual inspection. Recent trends in bridge inspection have led to a proliferation of research utilizing Unmanned Aerial Vehicles (UAVs). This thesis proposes a Trusted Platform for Bridge Inspection Management System (Trusted-BIMS) for safe and efficient bridge inspection by proving the UAV-based inspection process and improving the prototype of the previous study. Designed based on a Zero-Trust (ZT) strategy, Trusted-BIMS consist of (1) a database-driven web framework with security features for …
Improving Dysarthric Speech Recognition By Enriching Training Datasets,
2022
Technological University Dublin, Ireland
Improving Dysarthric Speech Recognition By Enriching Training Datasets, Sophie Cullen
Dissertations
Dysarthria is a motor speech disorder that results from disruptions in the neuro-motor interface and is characterised by poor articulation of phonemes and hyper-nasality and is characteristically different from normal speech. Many modern automatic speech recognition systems focus on a narrow range of speech diversity therefore as a consequence of this they exclude a groups of speakers who deviate in aspects of gender, race, age and speech impairment when building training datasets. This study attempts to develop an automatic speech recognition system that deals with dysarthric speech with limited dysarthric speech data. Speech utterances collected from the TORGO database are …
Performance Of Wlan In Downlink Mu-Mimo Channel With The Least Cost In Terms Of Increased Delay,
2022
University of Electronic Science and Technology, Chengdu, China
Performance Of Wlan In Downlink Mu-Mimo Channel With The Least Cost In Terms Of Increased Delay, Lemlem Kassa, Jianhua Deng, Mark Davis, Jingye Cai
Articles
To improve the performance of IEEE 802.11 wireless local area (WLAN) networks, different frame-aggregation algorithms are proposed by IEEE 802.11n/ac standards to improve the throughput performance of WLANs. However, this improvement will also have a related cost in terms of increasing delay. The traffic load generated by mixed types of applications in current modern networks demands different network performance requirements in terms of maintaining some form of an optimal trade-off between maximizing throughput and minimizing delay. However, the majority of existing researchers have only attempted to optimize either one (to maximize throughput or minimize the delay). Both the performance of …
Measuring And Comparing Social Bias In Static And Contextual Word Embeddings,
2022
Technological University Dublin
Measuring And Comparing Social Bias In Static And Contextual Word Embeddings, Alan Cueva Mora
Dissertations
Word embeddings have been considered one of the biggest breakthroughs of deep learning for natural language processing. They are learned numerical vector representations of words where similar words have similar representations. Contextual word embeddings are the promising second-generation of word embeddings assigning a representation to a word based on its context. This can result in different representations for the same word depending on the context (e.g. river bank and commercial bank). There is evidence of social bias (human-like implicit biases based on gender, race, and other social constructs) in word embeddings. While detecting bias in static (classical or non-contextual) word …
Hybridization Of Biologically Inspired Algorithms For Discrete Optimisation Problems,
2022
Technological University Dublin, Ireland
Hybridization Of Biologically Inspired Algorithms For Discrete Optimisation Problems, Elihu Essian-Thompson
Dissertations
In the field of Optimization Algorithms, despite the popularity of hybrid designs, not enough consideration has been given to hybridization strategies. This paper aims to raise awareness of the benefits that such a study can bring. It does this by conducting a systematic review of popular algorithms used for optimization, within the context of Combinatorial Optimization Problems. Then, a comparative analysis is performed between Hybrid and Base versions of the algorithms to demonstrate an increase in optimization performance when hybridization is employed.
A Water-Surface Self-Leveling Landing Platform For Small-Scale Uavs,
2022
University of Denver
A Water-Surface Self-Leveling Landing Platform For Small-Scale Uavs, Mbidi Santos
Electronic Theses and Dissertations
Because many of the most widely used UAVs, such as the Vertical Take-Off and Landing (VTOL), cannot land securely on sloped or fast-changing surfaces, there is a need to design better deployment and landing stations. This document proposes an approach to design a water-surface self-leveling landing platform by implementing the best concept to be used as a safe ground for UAVs to land and deploy on open waters. After conceptualizing multiple design ideas, these options were laid out in a decision matrix with four criteria: degrees of freedom, mechanical complexity, manufacturing, and cost. The chosen concept was the spherical parallel …
Classification Of Electropherograms Using Machine Learning For Parkinson’S Disease,
2022
University of Denver
Classification Of Electropherograms Using Machine Learning For Parkinson’S Disease, Soroush Dehghan
Electronic Theses and Dissertations
Parkinson’s disease (PD) is a neurodegenerative movement disorder that progresses gradually over time. The onset of symptoms in people who are suffering from PD can vary from case to case, and it depends on the progression of the disease in each patient. The PD symptoms gradually develop and exacerbate the patient’s movements throughout time. An early diagnosis of PD could improve the outcomes of treatments and could potentially delay the progression of this disorder and that makes discovering a new diagnostic method valuable. In this study, I investigate the feasibility of using a machine learning (ML) approach to classify PD …
A Sound Artist’S Breakdown Of Field Recording Over History,
2022
Providence College
A Sound Artist’S Breakdown Of Field Recording Over History, Maria Chavez, Kristina Warren
Mathematics & Computer Science Faculty Scholarship
The conceptual sound artist, turntablist, and curator Maria Chavez muses about storing and accessing sounds. Building on Ursula Le Guin’s concept of the carrier bag, she describes four eras of sound recording and containment.
Data Analytics And Visualization For Virtual Simulation,
2022
Wright State University
Data Analytics And Visualization For Virtual Simulation, Sri Lekha Koppaka
Browse all Theses and Dissertations
Healthcare organizations attract a diversity of caregivers and patients by providing essential care. While interacting with people of various races, ethnicity, and economical background, caregivers need to be empathetic and compassionate. Proper training and exposure are needed to understand the patient’s background and handle different situations and provide the best care for the patient. With social determinants of health (SDOH) as the basis, the thesis focuses on providing exposure through “Wright LIFE (Lifelike Immersion for Equity) - A simulation-based training tool” to two such scenarios covering patients from the LGBTQIA+ community & autism spectrum disorder (ASD). This interactive tool helps …
Computer Enabled Interventions To Communication And Behavioral Problems In Collaborative Work Environments,
2022
Wright State University
Computer Enabled Interventions To Communication And Behavioral Problems In Collaborative Work Environments, Ashutosh Shivakumar
Browse all Theses and Dissertations
Task success in co-located and distributed collaborative work settings is characterized by clear and efficient communication between participating members. Communication issues like 1) Unwanted interruptions and 2) Delayed feedback in collaborative work based distributed scenarios have the potential to impede task coordination and significantly decrease the probability of accomplishing task objective. Research shows that 1) Interrupting tasks at random moments can cause users to take up to 30% longer to resume tasks, commit up to twice the errors, and experience up to twice the negative effect than when interrupted at boundaries 2) Skill retention in collaborative learning tasks improves with …
A Knowledge-Based Model For Context-Aware Smart Service Systems,
2022
Business School, Université du Québec à Trois-Rivières, Québec, Canada
A Knowledge-Based Model For Context-Aware Smart Service Systems, Thang Le Dinh, Thanh Thoa Pham Thi, Cuong Pham-Nguyen, Le Nguyen Hoai Nam
Articles
The advancement of the Internet of Things, big data, and mobile computing leads to the need for smart services that enable the context awareness and the adaptability to their changing contexts. Today, designing a smart service system is a complex task due to the lack of an adequate model support in awareness and pervasive environment. In this paper, we present the concept of a context-aware smart service system and propose a knowledge model for context-aware smart service systems. The proposed model organizes the domain and context-aware knowledge into knowledge components based on the three levels of services: Services, Service system, …
Transferring Studies Across Embodiments: A Case Study In Confusion Detection,
2022
Technological University Dublin
Transferring Studies Across Embodiments: A Case Study In Confusion Detection, Na Li, Robert J. Ross
Articles
Human-robot studies are expensive to conduct and difficult to control, and as such researchers sometimes turn to human-avatar interaction in the hope of faster and cheaper data collection that can be transferred to the robot domain. In terms of our work, we are particularly interested in the challenge of detecting and modelling user confusion in interaction, and as part of this research programme, we conducted situated dialogue studies to investigate users' reactions in confusing scenarios that we give in both physical and virtual environments. In this paper, we present a combined review of these studies and the results that we …
Topological Hierarchies And Decomposition: From Clustering To Persistence,
2022
Wright State University
Topological Hierarchies And Decomposition: From Clustering To Persistence, Kyle A. Brown
Browse all Theses and Dissertations
Hierarchical clustering is a class of algorithms commonly used in exploratory data analysis (EDA) and supervised learning. However, they suffer from some drawbacks, including the difficulty of interpreting the resulting dendrogram, arbitrariness in the choice of cut to obtain a flat clustering, and the lack of an obvious way of comparing individual clusters. In this dissertation, we develop the notion of a topological hierarchy on recursively-defined subsets of a metric space. We look to the field of topological data analysis (TDA) for the mathematical background to associate topological structures such as simplicial complexes and maps of covers to clusters in …
Virtual Reality-Based Serious Role-Playing Games As Digital Experiential Learning Tools To Deliver Healthcare Skills Through Mobile Devices,
2022
Wright State University
Virtual Reality-Based Serious Role-Playing Games As Digital Experiential Learning Tools To Deliver Healthcare Skills Through Mobile Devices, Dixit Bharatkumar Patel
Browse all Theses and Dissertations
Inadequate professional training and practices related to health care may result in severe complications to care experiences and outcomes. Moreover, healthcare professionals are as susceptible to the possibility of implicit biases as any other group. Importantly, the health care training is critical and challenging as minor prejudicial beliefs have an adverse influence or serious consequences on patients' health outcomes. Thus, facilitating serious role-playing virtual care practices along with raising awareness of healthcare professionals about the enduring impact of implicit/explicit biases and Social Determinants of Health (SDH) on health outcomes assist to advance the patient-provider relation, care experiences (e.g., healthcare experience …
Automatically Inferring Image Bases Of Arm32 Binaries,
2022
Wright State University
Automatically Inferring Image Bases Of Arm32 Binaries, Daniel T. Chong
Browse all Theses and Dissertations
Reverse engineering tools rely on the critical image base value for tasks such as correctly mapping code into virtual memory for an emulator or accurately determining branch destinations for a disassembler. However, binaries are often stripped and therefore, do not explicitly state this value. Currently available solutions for calculating this essential value generally require user input in the form of parameter configurations or manual binary analysis, thus these methods are limited by the experience and knowledge of the user. In this thesis, we propose a user-independent solution for determining the image base of ARM32 binaries and describe our implementation. Our …
Dielectrophoretic Trapping Of Carbon Nanotubes For Temperature Sensing,
2022
Marshall University
Dielectrophoretic Trapping Of Carbon Nanotubes For Temperature Sensing, Kaylee Burdette
Theses, Dissertations and Capstones
Conventional sensors are rapidly approaching efficiency limitations at their current size. In designing more efficient sensors, low dimensional materials such as carbon nanotubes (CNTs), quantum dots, and DNA origami can be used to enable higher degrees of sensitivity. Because of the high atomic surface to core ratio, these materials can be used to detect slight changes in chemical composition, strain, and temperature. CNTs offer unique advantages in different types of sensors due to their electromechanical properties. In temperature sensing, the high responsiveness to temperature and durability can be used to produce an accurate, reliable sensor in even extreme temperatures. This …
Big Data Processing Attribute Based Access Control Security,
2022
University of Central Florida
Big Data Processing Attribute Based Access Control Security, Anne Tall
Electronic Theses and Dissertations, 2020-2023
The purpose of this research is to analyze the security of next-generation big data processing (BDP) and examine the feasibility of applying advanced security features to meet the needs of modern multi-tenant, multi-level data analysis. The research methodology was to survey of the status of security mechanisms in BDP systems and identify areas that require further improvement. Access control (AC) security services were identified as priority area, specifically Attribute Based Access Control (ABAC). The exemplar BDP system analyzed is the Apache Hadoop ecosystem. We created data generation software, analysis programs, and posted the detailed the experiment configuration on GitHub. Overall, …
Corporate Cybersecurity In The Context Of M&A Transactions,
2022
William & Mary
Corporate Cybersecurity In The Context Of M&A Transactions, Cameron Beck
Cybersecurity Undergraduate Research Showcase
The rapid rise of digital devices has unlocked a new dimension of innovation and prosperity in the 21st century. Computers are now an integrated and ubiquitous part of our global culture. You would be hard-pressed to walk into any given room without several computer chips humming inaudibly inside the machines that facilitate our modern world. Even lightbulbs and doorbells are connected to the Internet, capturing information from the world around them and sending that information to the Cloud. The Internet expands access to communication, international marketplaces, entertainment, professional resources, and nearly every book in the world.
Editorial: Assuring Trustworthiness Of Autonomous Systems As Intelligent And Ethical Teammates,
2022
Florida Institute of Technology
Editorial: Assuring Trustworthiness Of Autonomous Systems As Intelligent And Ethical Teammates, Siddhartha Bhattacharyya, Meredith Carroll
Aeronautics Faculty Publications
Editorial on the Research Topic Assuring trustworthiness of autonomous systems as intelligent and ethical teammates
