Numerical Modeling And Simulating Thermal Performance Of Printed Circuit Boards, 2022 Utah State University
Numerical Modeling And Simulating Thermal Performance Of Printed Circuit Boards, Paul R. Ziegenfelder
All Graduate Theses and Dissertations
This research investigates how heat transfer theory can be applied to evaluate the thermal performance of printed circuit board (PCB) designs. A model was developed for correlating theory to the physical parameters relating to the construction of the PCB and a computer application was developed to perform the thermal analysis. The application allows the importation of common PCB design files for a straightforward and quick analysis of a PCB design’s thermal performance. The application is open-source to allows for further development and free access from the public.
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, 2022 Missouri University of Science and Technology
A Novel Microgrid Fault Detection And Classification Method Using Maximal Overlap Discrete Wavelet Packet Transform And An Augmented Lagrangian Particle Swarm Optimization-Support Vector Machine, Masoud Ahmadipour, Muhammad Murtadha Othman, Rui Bo, Zainal Salam, Hussein Mohammed Ridha, Kamrul Hasan
Electrical and Computer Engineering Faculty Research & Creative Works
In this paper, an intelligent method for fault detection and classification for a microgrid (MG) was proposed. The idea was based on the combination of three computational tools: signal processing using the maximal overlap discrete wavelet packet transform (MODWPT), parameter optimization by the augmented Lagrangian particle swarm optimization (ALPSO), and machine learning using the support vector machine (SVM). The MODWPT was applied to preprocess half cycle of the post-fault current samples measured at both ends of feeders. The wavelet coefficients derived from the MODWPT were statistically evaluated using the mean, standard deviation, energy, skewness, kurtosis, logarithmic energy entropy, max, min ...
Tutorial: Neuro-Symbolic Ai For Mental Healthcare, 2022 University of South Carolina - Columbia
Tutorial: Neuro-Symbolic Ai For Mental Healthcare, Kaushik Roy, Usha Lokala, Manas Gaur, Amit Sheth
Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions ...
Learning To Automate Follow-Up Question Generation Using Process Knowledge For Depression Triage On Reddit Posts, 2022 IIIT Hyderabad, India
Learning To Automate Follow-Up Question Generation Using Process Knowledge For Depression Triage On Reddit Posts, Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit Sheth
Conversational Agents (CAs) powered with deep language models (DLMs) have shown tremendous promise in the domain of mental health. Prominently, the CAs have been used to provide informational or therapeutic services (e.g., cognitive behavioral therapy) to patients. However, the utility of CAs to assist in mental health triaging has not been explored in the existing work as it requires a controlled generation of follow-up questions (FQs), which are often initiated and guided by the mental health professionals (MHPs) in clinical settings. In the context of `depression', our experiments show that DLMs coupled with process knowledge in a mental health ...
Low Temperature Dielectric Strength Of Polyimide-Silica Nanocomposites For Applications In High-Temperature Superconducting Cables, Michael John Mccaffrey
Theses and Dissertations
Gaseous helium is often considered as an alternative to liquid nitrogen to cool modern high-temperature superconducting cables in support of increased power capacity and/or reduction of required cable size. However, the small size of helium molecules and relatively poor dielectric strength of helium gas create challenges which limit the usefulness of modern cable dielectrics. Continuous dielectric coatings have been considered as an alternative to traditional lapped tape dielectrics to support gaseous helium refrigerants, but unmatched thermal contraction between the coating and cable components would induce failures due to mechanical stress. Composite materials have been considered as a means of ...
A Modified Meta-Learner For Few-Shot Learning, 2022 School of Science, Shanghai Institute of Technology, Shanghai 201418, China
A Modified Meta-Learner For Few-Shot Learning, Min Lu, Jingchao Yang, Wenfeng Wang, Bin Hu
International Journal of Electronics and Electical Engineering
Meta-Learning, or so-called Learning to learn, has become another important research branch in Machine Learning. Different from traditional deep learning, meta-learning can be used to solve one-to-many problems and has a better performance in few-shot learning which only few samples are available in each class. In these tasks, meta-learning is designed to quickly form a relatively reliable model through very limited samples. In this paper, we propose a modified LSTM-based meta-learning model, which can initialize and update the parameters of classifier (learner) considering both short-term knowledge of one task and long-term knowledge across multiple tasks. We reconstruct a Compound loss ...
A Machine Learning Framework For Automatic Speech Recognition In Air Traffic Control Using Word Level Binary Classification And Transcription, Fowad Shahid Sohail
Theses and Dissertations
Advances in Artificial Intelligence and Machine learning have enabled a variety of new technologies. One such technology is Automatic Speech Recognition (ASR), where a machine is given audio and transcribes the words that were spoken. ASR can be applied in a variety of domains to improve general usability and safety. One such domain is Air Traffic Control (ATC). ASR in ATC promises to improve safety in a mission critical environment. ASR models have historically required a large amount of clean training data. ATC environments are noisy and acquiring labeled data is a difficult, expertise dependent task. This thesis attempts to ...
Predicting Insulin Pump Therapy Settings, 2022 Southern Methodist University & Tandem Diabetes Care, Inc
Predicting Insulin Pump Therapy Settings, Riccardo L. Ferraro, David Grijalva, Alex Trahan
SMU Data Science Review
Millions of people live with diabetes worldwide . To mitigate some of the many symptoms associated with diabetes, an estimated 350,000 people in the United States rely on insulin pumps . For many of these people, how effectively their insulin pump performs is the difference between sleeping through the night and a life threatening emergency treatment at a hospital. Three programmed insulin pump therapy settings governing effective insulin pump function are: Basal Rate (BR), Insulin Sensitivity Factor (ISF), and Carbohydrate Ratio (ICR). For many people using insulin pumps, these therapy settings are often not correct, given their physiological needs ...
Identifying Opportunities And Priorities For Energy Extension, 2022 University of Maryland
Identifying Opportunities And Priorities For Energy Extension, Drew F. Schiavone
The Journal of Extension
An online survey was administered to all educators and specialists within the University of Maryland Extension to assess client-driven opportunities and priorities for energy-related programming, while in-service training evaluations were used to further assess programmatic needs. Results indicate the need for information related to energy conservation and clean energy technology for agricultural and residential clientele. Primary barriers were perceived as the insufficient understanding and high costs associated with clean energy, while experiential participation and firsthand observation were reported as preferred learning methods. These results provide an understanding of how energy-related programming can expand the role and relevancy of Extension.
A Roller Coaster For The Mind: Virtual Reality Sickness Modes, Metrics, And Mitigation, 2022 University of Louisville
A Roller Coaster For The Mind: Virtual Reality Sickness Modes, Metrics, And Mitigation, Dalton C. Sparks
The Cardinal Edge
Understanding and preventing virtual reality sickness(VRS), or cybersickness, is vital in removing barriers for the technology's adoption. Thus, this article aims to synthesize a variety of academic sources to demonstrate the modes by which VRS occurs, the metrics by which it is judged, and the methods to mitigate it. The predominant theories on the biological origins of VRS are discussed, as well as the individual factors which increase the likelihood of a user developing VRS. Moreover, subjective and physiological measurements of VRS are discussed in addition to the development of a predictive model and conceptual framework. Finally, several ...
Modelling And Evaluation Of Piezoelectric Actuators For Wearable Neck Rehabilitation Devices, 2022 The University of Western Ontario
Modelling And Evaluation Of Piezoelectric Actuators For Wearable Neck Rehabilitation Devices, Shaemus D. Tracey
Electronic Thesis and Dissertation Repository
Neck pain is the most common neck musculoskeletal disorder, and the fourth leading cause of healthy years lost due to disability in the world. Due to the need of hands-on physical therapy and Canada’s aging population, access to treatment will become highly constrained. Wearable devices that allow at-home rehabilitation address this future limitation. However, few have emerged from the laboratory setting because they are limited by the use of conventional actuators. An overlooked type of actuation technology is that of piezoelectric actuators, more specifically, travelling wave ultrasonic motors (TWUM).
In this work, a clear procedure that outlines how the ...
The Future Of Cyber-Enabled Influence Operations: Emergent Technologies, Disinformation, And The Destruction Of Democracy, 2022 United States Military Academy
The Future Of Cyber-Enabled Influence Operations: Emergent Technologies, Disinformation, And The Destruction Of Democracy, Joseph Littell
ACI Books & Book Chapters
Nation-states have been embracing online influence campaigns through disinformation at breakneck speeds. Countries such as China and Russia have completely revamped their military doctrine to information-first platforms [1, 2] (Mattis, Peter. (2018). China’s Three Warfares in Perspective. War on the Rocks. Special Series: Ministry of Truth. https://warontherocks.com/2018/01/chinas-three-warfares-perspective/, Cunningham, C. (2020). A Russian Federation Information Warfare Primer. Then Henry M. Jackson School of International Studies. Washington University. https://jsis.washington.edu/news/a-russian-federation-information-war fare-primer/.) to compete with the United States and the West. The Chinese principle of “Three Warfares” and Russian Hybrid Warfare have been ...
A Low Profile Microstrip Patch Antenna Using A Polygon-Shaped Patch For Wireless Applications., 2022 B.S.Abdur Rahman Crescent Institute of Science and Technology
A Low Profile Microstrip Patch Antenna Using A Polygon-Shaped Patch For Wireless Applications., Muthu Krishnan Ramar, Kannan G
International Journal of Electronics Signals and Systems
In this paper. a low profile microstrip patch antenna is presented. The FR4 substrate is chosen for the dielectric substrate with a height of 1.6 mm. The presented antenna employs a polygon-shaped patch as the radiator for operating at 2.4 GHz. Co-axial feed is selected to excite the resented antenna to retain the low profile property of the antenna. The simulated results of the proposed antenna were analyzed and the structure of the proposed antenna was validated through fabrication results. The vector network analyzer is used to measure the real-time return loss property of the presented antenna.
Active Simultaneous Localization And Mapping In Unstructured Environment With A Quadrotor, 2022 University of Pennsylvania
Active Simultaneous Localization And Mapping In Unstructured Environment With A Quadrotor, Siming He
Summer Program for Undergraduate Research (SPUR)
An agent performing Simultaneous Localization and Mapping (SLAM) constructs a map of the environment while estimating its location at the same time. SLAM algorithms primarily focus on finding the best estimate of the location of the agent, and by extension, that of the landmarks in the environment, given observations from sensors. These algorithms do not typically address how an agent should explore an unknown environment to build a map efficiently. This ability for active exploration is important for autonomous robots to work in unknown, unstructured environments such as forests or caves.
This paper proposes an active SLAM system that allows ...
A Broad Spectrum Defense Against Adversarial Examples, 2022 Rowan University
A Broad Spectrum Defense Against Adversarial Examples, Sean Mcguire
Theses and Dissertations
Machine learning models are increasingly employed in making critical decisions across a wide array of applications. As our dependence on these models increases, it is vital to recognize their vulnerability to malicious attacks from determined adversaries. In response to these adversarial attacks, new defensive mechanisms have been developed to ensure the security of machine learning models and the accuracy of the decisions they make. However, many of these mechanisms are reactionary, designed to defend specific models against a known specific attack or family of attacks. This reactionary approach does not generalize to future "yet to be developed" attacks. In this ...
Towards Efficient Scoring Of Student-Generated Long-Form Analogies In Stem, 2022 University of South Carolina - Columbia
Towards Efficient Scoring Of Student-Generated Long-Form Analogies In Stem, Thilini Wijesiriwardene, Ruwan Wickramarachchi, Valerie L. Shalin, Amit P. Sheth
Switching from an analogy pedagogy based on comprehension to analogy pedagogy based on production raises an impractical manual analogy scoring problem. Conventional symbol-matching approaches to computational analogy evaluation focus on positive cases, and challenge computational feasibility. This work presents the Discriminative Analogy Features (DAF) pipeline to identify the discriminative features of strong and weak long-form text analogies. We introduce four feature categories (semantic, syntactic, sentiment, and statistical) used with supervised vector-based learning methods to discriminate between strong and weak analogies. Using a modestly sized vector of engineered features with SVM attains a 0.67 macro F1 score. While a semantic ...
Tropospheric Attenuation Prediction For Future Millimeter Wave Terrestrial Systems: Estimating Statistics And Extremes, 2022 University of South Carolina
Tropospheric Attenuation Prediction For Future Millimeter Wave Terrestrial Systems: Estimating Statistics And Extremes, Jinwen Liu, David W. Matolak, Ismail Güvenç, Hani Mehrpouyan
Electrical and Computer Engineering Faculty Publications and Presentations
Tropospheric attenuations can be significant in the millimeter wave (mmWave) frequency bands; hence, accurate prediction modeling of tropospheric attenuation is important for reliable mmWave communication. Several models have been established by the International Telecommunication Union (ITU), yet estimation accuracy is limited due to the large spatial scales used for model input parameters. In this paper, we address this and apply local precipitation data to analyze tropospheric attenuation statistics and compare to results when using ITU regional input rain data. Specifically, tropospheric attenuation is predicted via simulations using the ITU method at 30, 60, and 90 GHz in four distinct geographic ...
Implementation Of Outcome Based Education For The Course Digital Image Processing, 2022 MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune
Implementation Of Outcome Based Education For The Course Digital Image Processing, Bageshree Pathak, Prachi Mukherji, Sandhya Potadar
Graduate Research in Engineering and Technology (GRET)
Achieving Outcome Based Education (OBE) in engineering education is a challenging task for the instructor. The cycle starts from the process of curriculum design for the course ‘Digital Image Processing’ by incorporating the inputs from different stake holders. Program Outcomes (POs) and Program Specific Outcomes (PSOs) are attained through balanced course design and achieving the Course Outcomes by various evaluation methods. The next challenge is to improve the traditional teaching learning methods by implementation of innovative techniques for effective delivery of the course and to increase the engagement of the students. Students should be able to apply, analyze and evaluate ...
Inculcating Research Culture With An Outcome-Oriented Technical Project Evaluation Framework, 2022 Sanjivani College of Engineering, Kopargaon.
Inculcating Research Culture With An Outcome-Oriented Technical Project Evaluation Framework, Pritish Vibhute, Sumeet Gupta, Muzffarali Sayyad, Snehal Gondkar
Graduate Research in Engineering and Technology (GRET)
The Outcome of the Teaching-Learning Process of any specific subject or course is measured using a standard statistical method, the majority of which relies on the marks obtained by each learner, according to procedures and guidelines defined by numerous national-international consortiums, boards, or councils for Outcome-Based Education (OBE). Rarely has it been linked to documentary evidence demonstrating the attainment of competency expected to emerge following successful completion of the course. At the same time, a significant number of technical institutes across India are in desperate need of good research, which leads to massive publications, IPR, startups, and cash. For the ...
Importance Of Students’ Feedback For Modifying Course Syllabus And Revising Curriculum Of Ug Electronics And Telecommunication Engineering Programme, 2022 MKSSS’s Cummins College of Engineering for Women, Karvenagar, Pune
Importance Of Students’ Feedback For Modifying Course Syllabus And Revising Curriculum Of Ug Electronics And Telecommunication Engineering Programme, Prachi Mukherji, Vidya Sisale
Graduate Research in Engineering and Technology (GRET)
The goal of education is to create an environment that assists teaching and learning. Modification of courses, and Course Outcomes is necessary to cater to the changing needs of students and enhance their learning experience. Under academic, freedom to change the curriculum in resonance with industry needs and current trends makes the student more skilled, knowledgeable, and employable. Feedback is a traditional way of making improvements in the educational field. This paper gives direction on the use of Students’ feedback for revising the curriculum and modifying the Course Outcomes for the Undergraduate program in Electronics and Telecommunication Engineering. We have ...