Let's Read: Designing A Smart Display Application To Support Codas When Learning Spoken Language,
2021
Chapman University
Let's Read: Designing A Smart Display Application To Support Codas When Learning Spoken Language, Katie Rodeghiero, Yingying Yuki Chen, Annika M. Hettmann, Franceli L. Cibrian
Engineering Faculty Articles and Research
Hearing children of Deaf adults (CODAs) face many challenges including having difficulty learning spoken languages, experiencing social judgment, and encountering greater responsibilities at home. In this paper, we present a proposal for a smart display application called Let's Read that aims to support CODAs when learning spoken language. We conducted a qualitative analysis using online community content in English to develop the first version of the prototype. Then, we conducted a heuristic evaluation to improve the proposed prototype. As future work, we plan to use this prototype to conduct participatory design sessions with Deaf adults and CODAs to evaluate the …
Ransomware Education: Availability, Accessibility, And Ease Of Use,
2021
Murray State University
Ransomware Education: Availability, Accessibility, And Ease Of Use, Judson Gager, Judson Gager
Honors College Theses
With cybersecurity constantly in the media outlets with breaches, cybercrime, and cyberwarfare, it has become a significant concern for all. One of the most recent breaches in the summer of 2021 was the Colonial Pipeline breach, which has proven the country's reliance on these industrial control systems and networking. The systems were taken for ransom by a new type of ransomware written in a different programming language. Although the Colonial Pipeline breach was quickly addressed, the impact of the gas shortage and the response time were alarming at triaging the breach. However, this attack showed the public how dangerous ransomware …
The Factors Influencing The Acceptance Of Web-Based E-Learning System Among Academic Staffs Of Saudi Arabia,
2021
King Abdulaziz University, Saudi Arabia
The Factors Influencing The Acceptance Of Web-Based E-Learning System Among Academic Staffs Of Saudi Arabia, Ikhlas Zamzami
Future Computing and Informatics Journal
It is possible to learn more quickly and effectively with e-learning software development because it provides learners with convenient and flexible learning environments. This allows them to progress further in their careers. Reports on web-based e-learning systems for in-service education have frequently neglected to include the viewpoint of the instructor. In order to conduct quantitative research, a sample of 50 academic staff members was selected. The purpose of this study was to investigate various factors that influence the intention to use web-based e-learning, with the theoretical foundation being provided by university lecturers. According to the findings of the study, the …
Image Hiding Using Qr Factorization And Discrete Wavelet Transform Techniques,
2021
Ain Shams university
Image Hiding Using Qr Factorization And Discrete Wavelet Transform Techniques, Reham Ahmed El-Shahed, Maryam Al-Berry, Hala Ebied, Howida Shedeed
Future Computing and Informatics Journal
Steganography is one of the most important tools in the data security field as there is a huge amount of data transferred each moment over the internet. Hiding secret messages in an image has been widely used because the images are mostly used in social media applications. The proposed algorithm is a simple algorithm for hiding an image in another image. The proposed technique uses QR factorization to conceal the secret image. The technique successfully hid a gray and color image in another one and the performance of the algorithm was measured by PSNR, SSIM and NCC. The PSNR for …
Needle In A Haystack: Detecting Subtle Malicious Edits To Additive Manufacturing G-Code Files,
2021
CUNY New York City College of Technology
Needle In A Haystack: Detecting Subtle Malicious Edits To Additive Manufacturing G-Code Files, Caleb Beckwith, Harsh Sankar Naicker, Svara Mehta, Viba R. Udupa, Nghia Tri Nim, Varun Gadre, Hammond Pearce, Gary Mac
Publications and Research
Increasing usage of Digital Manufacturing (DM) in safety-critical domains is increasing attention on the cybersecurity of the manufacturing process, as malicious third parties might aim to introduce defects in digital designs. In general, the DM process involves creating a digital object (as CAD files) before using a slicer program to convert the models into printing instructions (e.g. g-code) suitable for the target printer. As the g-code is an intermediate machine format, malicious edits may be difficult to detect, especially when the golden (original) models are not available to the manufacturer. In this work we aim to quantify this hypothesis through …
Asynchronous, Distributed Optical Mutual Exclusion And Applications,
2021
Louisiana State University and Agricultural and Mechanical College
Asynchronous, Distributed Optical Mutual Exclusion And Applications, Ahmed Bahaael Mansour
LSU Doctoral Dissertations
Silicon photonics have drawn much recent interest in the setting of intra-chip andmodule communication. In this dissertation, we address a fundamental computationalproblem, mutual exclusion, in the setting of optical interconnects. As a main result, wepropose an optical network and an algorithm for it to distribute a token (shared resource)mutually exclusively among a set ofnprocessing elements. Following a request, the tokenis granted in constant amortized time andO(n) worst case time; this assumes constantpropagation time for light within the chip. Additionally, the distribution of tokens is fair,ensuring that no token request is denied more thann−1 times in succession; this is thebest possible. …
A Survey On Various Image Inpainting Techniques,
2021
Electrical Engineering Department - Future University in Egypt
A Survey On Various Image Inpainting Techniques, Nermin Mohamed Fawzy Salem Phd
Future Engineering Journal
Over the decades' researchers have studied the image inpainting problem intensively due to its high significance and effectiveness in various image processing applications such as people and object security, object removal, face editing applications. Image inpainting is defined as the process of completing or removing a missing region in images. It is considered one of the most challenging topics in the image processing field, although, it requires a deep understanding of the image details in terms of texture and structure. In this paper, a survey of most image inpainting techniques is presented and summarized with comparisons including the merits and …
Recent Advances And Trends Of Predictive Maintenance From Data-Driven Machine Prognostics Perspective,
2021
Chapman University
Recent Advances And Trends Of Predictive Maintenance From Data-Driven Machine Prognostics Perspective, Yuxin Wen, Md. Fashiar Rahman, Honglun Xu, Tzu-Liang Bill Tseng
Engineering Faculty Articles and Research
In the Engineering discipline, prognostics play an essential role in improving system safety, reliability and enabling predictive maintenance decision-making. Due to the adoption of emerging sensing techniques and big data analytics tools, data-driven prognostic approaches are gaining popularity. This paper aims to deliver an extensive review of recent advances and trends of data-driven machine prognostics, with a focus on their applications in practice. The primary purpose of this review is to categorize existing literature and report the latest research progress and directions to support researchers and practitioners in acquiring a clear comprehension of the subject area. This paper first summarizes …
Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions,
2021
Southern Methodist University
Exploring Neural Networks For Predicting Sentinel-C Backscatter Between Image Acquisitions, Zhongdi Wu
Computer Science and Engineering Theses and Dissertations
Measuring moisture dynamics in soil and overlying vegetation is key to understanding ecosystem and agricultural dynamics in many contexts. For many applications, moisture information is demanded at high temporal frequency over large areas. Sentinel-1 C-band radar backscatter satellite images provide a repeating sequence of fine-resolution (10-m) observations that can be used to infer soil and vegetation moisture, but the 12-day interval between satellite observations is infrequent relative to the sensed moisture dynamics. Machine learning approaches have been used to predict soil moisture at higher spatial resolutions than the original satellite images, but little effort has been made to increase the …
Incorporating Virtual Reality Training In An Introductory Public Speaking Course,
2021
Michigan State University
Incorporating Virtual Reality Training In An Introductory Public Speaking Course, Kevin Kryston, Henry Goble, Allison Eden
Journal of Communication Pedagogy
This study presents the results of two studies using a virtual reality (VR) public-speaking training simulation as an instructional aid in a basic communication course. Results from the first study suggest that VR practice was associated with higher subsequent speech delivery grades in the course compared to no practice. However, VR practice did not reduce public speaking anxiety (PSA). In a follow-up study, VR practice was compared with other forms of lab-based practice including in front of a mirror and a recorded video session. All forms of lab practice (VR, mirror, or video) were associated with higher speech grades than …
A New Era Of Education: Incorporating Machine Teachers Into Education,
2021
University of Central Florida
A New Era Of Education: Incorporating Machine Teachers Into Education, Jihyun Kim
Journal of Communication Pedagogy
This editorial briefly discusses the potential of machine agents in education that can assist in creating more positive and meaningful teaching and learning environments. Then, it introduces three articles, two empirical research studies and one research-based instructional activity, compromising a special section on “Machine Teachers in Education” of Journal of Communication Pedagogy. Collectively, these articles help us better understand the role of machines in education and facilitate intellectual dialogues.
Human-Machine Communication: Complete Volume. Volume 3. Diffusion Of Human-Machine Communication During And After The Covid-19 Pandemic,
2021
University of Central Florida
Human-Machine Communication: Complete Volume. Volume 3. Diffusion Of Human-Machine Communication During And After The Covid-19 Pandemic
Human-Machine Communication
This is the complete volume of HMC Volume 3. Diffusion of Human-Machine Communication During and After the COVID-19 Pandemic
What Will Affect The Diffusion Of Ai Agents?,
2021
Michigan State University
What Will Affect The Diffusion Of Ai Agents?, James W. Dearing
Human-Machine Communication
For billions of people, the threat of the Novel Coronavirus SARS-CoV-2 and its variants has precipitated the adoption of new behaviors. Pandemics are radical events that disrupt the gradual course of societal change, offering the possibility that some rapidly adopted innovations will persist in use past the time period of the event and, thus, diffuse more rapidly than in the absence of such an event. Human-machine communication includes a range of technologies with which many of us have quickly become more familiar due to stay-athome orders, distancing, workplace closures, remote instruction, home-bound entertainment, fear of contracting COVID-19, and boredom. In …
The Role Of Vidura Chatbot In The Diffusion Of Knowcovid-19 Gateway,
2021
Texas Tech University
The Role Of Vidura Chatbot In The Diffusion Of Knowcovid-19 Gateway, Kerk F. Kee, Prasad P. Calyam, Hariharan Regunath
Human-Machine Communication
The COVID-19 pandemic is an unprecedented global emergency. Clinicians and medical researchers are suddenly thrown into a situation where they need to keep up with the latest and best evidence for decision-making at work in order to save lives and develop solutions for COVID-19 treatments and preventions. However, a challenge is the overwhelming numbers of online publications with a wide range of quality. We explain a science gateway platform designed to help users to filter the overwhelming amount of literature efficiently (with speed) and effectively (with quality), to find answers to their scientific questions. It is equipped with a chatbot …
Communicative Development And Diffusion Of Humanoid Ai Robots For The Post-Pandemic Health Care System,
2021
University of Louisiana at Lafayette
Communicative Development And Diffusion Of Humanoid Ai Robots For The Post-Pandemic Health Care System, Do Kyun David Kim, Gary Kreps, Rukhsana Ahmed
Human-Machine Communication
As humanoid robot technology, anthropomorphized by artificial intelligence (AI), has rapidly advanced to introduce more human-resembling automated robots that can communicate, interact, and work like humans, we have begun to expect active interactions with Humanoid AI Robots (HAIRs) in the near future. Coupled with the HAIR technology development, the COVID-19 pandemic triggered our interest in using health care robots with many substantial advantages that overcome critical human vulnerabilities against the strong infectious COVID-19 virus. Recognizing the tremendous potential for the active application of HAIRs, this article explores feasible ways to implement HAIRs in health care and patient services and suggests …
The Impact Of Cloud Computing On Academic Libraries,
2021
PSN College of Engineering & Technology
The Impact Of Cloud Computing On Academic Libraries, Sivankalai S
Library Philosophy and Practice (e-journal)
With the introduction of computers and other forms of communication technology, library services have undergone a significant transformation. Libraries have been automated, networked, and are currently being converted into virtual or paperless libraries. This article is dedicated to many aspects of cloud computing, including different kinds and applications. There is a discussion about the advantages and drawbacks of cloud computing in academic libraries. The article also includes recommendations for professional librarians and academic libraries across the globe on how to take advantage of cloud computing resources. This article may be of use in the development of cloud-based services for university …
Detecting Driver Drowsiness With Multi-Sensor Data Fusion Combined With Machine Learning,
2021
California State University, Fresno
Detecting Driver Drowsiness With Multi-Sensor Data Fusion Combined With Machine Learning, Hovannes Kulhandjian
Mineta Transportation Institute
According to the National Highway Traffic Safety Administration, in 2017 drowsy driving resulted in 50,000 injuries across 91,000 police-reported accidents, as well as almost 800 deaths. Through the application of visual and radar sensors combined with machine learning, this research developed a drowsy driver detection system aimed to prevent potentially fatal accidents. The working prototype of Advanced Driver Assistance Systems can be installed in present-day vehicles to detect drowsy drivers with over 95% accuracy. It integrates two types of visual surveillance to examine the driver for signs of drowsiness. A camera is used to monitor the driver’s eyes, mouth and …
Multi-Agent Radiation Localization,
2021
Portland State University
Multi-Agent Radiation Localization, Teresa Nguyen
REU Final Reports
Advancement of radiation detection technology is an ongoing process, and adjustments are made based on pre-existing conditions of radiation presence--both natural and man made. Tools that are currently used for safely detecting radiation in urban environments exist in several forms: drones, robots, or handheld radiation detection devices. This is a harm reductive way to explore radiation-infected environments while preserving human health as best as possible. In order for these autonomous platforms to successfully detect radiation sources, an algorithm needs to be created that is capable of gathering crucial data on its own with little to no human interference. Machine learning …
Cosine-Based Explainable Matrix Factorization For Collaborative Filtering Recommendation.,
2021
University of Louisville
Cosine-Based Explainable Matrix Factorization For Collaborative Filtering Recommendation., Pegah Sagheb Haghighi
Electronic Theses and Dissertations
Recent years saw an explosive growth in the amount of digital information and the number of users who interact with this information through various platforms, ranging from web services to mobile applications and smart devices. This increase in information and users has naturally led to information overload which inherently limits the capacity of users to discover and find their needs among the staggering array of options available at any given time, the majority of which they may never become aware of. Online services have handled this information overload by using algorithmic filtering tools that can suggest relevant and personalized information …
Flight Trajectory Prediction For Aeronautical Communications.,
2021
University of Louisville
Flight Trajectory Prediction For Aeronautical Communications., Nathan T Schimpf
Electronic Theses and Dissertations
The development of future technologies for the National Airspace System (NAS) will be reliant on a new communications infrastructure capable of managing a limited spectrum among aircraft and ground systems. Emerging approaches to this spectrum allocation task mostly consider machine learning techniques reliant on aircraft and Air Traffic Control (ATC) sector data. Much of this data, however, is not directly available. This thesis considers the development of two such data products: the 4D trajectory (latitude, longitude, altitude, and time) of aircraft, and the anticipated airspace utilization and communication demand within an ATC sector. Data predictions are treated as a time …
