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2022

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Articles 8971 - 9000 of 9306

Full-Text Articles in Engineering

Solution Atomic Layer Deposition Of Smooth, Continuous, Crystalline Metal-Organic Framework Thin Films, Maïssa K.S. Barr, Soheila Nadiri, Dong-Hui Chen, Peter G. Weidler, Sebastian Bochmann, Helmut Baumgart, Julien Bachmann, Engelbert Redel Jan 2022

Solution Atomic Layer Deposition Of Smooth, Continuous, Crystalline Metal-Organic Framework Thin Films, Maïssa K.S. Barr, Soheila Nadiri, Dong-Hui Chen, Peter G. Weidler, Sebastian Bochmann, Helmut Baumgart, Julien Bachmann, Engelbert Redel

Electrical & Computer Engineering Faculty Publications

For the first time, a procedure has been established for the growth of surface-anchored metal–organic framework (SURMOF) copper(II) benzene-1,4-dicarboxylate (Cu-BDC) thin films of thickness control with single molecule accuracy. For this, we exploit the novel method solution atomic layer deposition (sALD). The sALD growth rate has been determined at 4.5 Å per cycle. The compact and dense SURMOF films grown at room temperature by sALD possess a vastly superior film thickness uniformity than those deposited by conventional solution-based techniques, such as dipping and spraying while featuring clear crystallinity from 100 nm thickness. The highly controlled layer-by-layer growth mechanism of sALD …

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Fairness And Inclusion For Users Of Surface Transport—An Exploratory Thematic Study For Irish Users, Ajeni Ari, Maria Chiara Leva, Lorraine D'Arcy, Mary Kinahan Jan 2022

Fairness And Inclusion For Users Of Surface Transport—An Exploratory Thematic Study For Irish Users, Ajeni Ari, Maria Chiara Leva, Lorraine D'Arcy, Mary Kinahan

Articles

This paper explores the conditions of public transport with respect to user accessibility, design of infrastructure, and safety from a gendered perspective. Our investigation aims to understand the factors that direct a citizen’s choice of whether or not to use public transport. Our discussion is focused on gender disparities among user experiences, so we confine our focus to that of women’s perspectives and their experiences with public transport use. A framework for our discussion was formed with consideration of the theoretical aspects of fairness, justice, and gender in transport, as well as user statistics. We identified several spaces where public …

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Tidal Current Turbine Blade Optimisation With Improved Blade Element Momentum Theory And A Non-Dominated Sorting Genetic Algorithm, Eng Jet Yeo, David Kennedy, Fergal O'Rourke Jan 2022

Tidal Current Turbine Blade Optimisation With Improved Blade Element Momentum Theory And A Non-Dominated Sorting Genetic Algorithm, Eng Jet Yeo, David Kennedy, Fergal O'Rourke

Articles

Tidal current energy has the advantage of predictability over most of the other renewable energy resources. However, due to the harsh operating environment and complicated site conditions, developments in this domain have been gradual. Paramount to these points is device design and optimisation of hydrodynamic performance. Recent developments in the correction models of BEM theory have further improved the accuracy of the prediction model. Using an improved blade element momentum theory model that is capable of accurately capturing the downwash angle and combining it with a well-developed and reliable non-dominated sorting genetic algorithm model, an effective and efficient tidal current …

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Building Performance - Societal Drive, Programme And Symposium, Joseph Little, Patrick Daly Jan 2022

Building Performance - Societal Drive, Programme And Symposium, Joseph Little, Patrick Daly

Articles

Society is increasingly looking at the construction industry to mitigate the environmental crisis and solve the housing crisis through wholesale embrace of three broad sets of challenges. The MSc in Building Performance (Energy Efficiency in Design) (MSc BP(EED)) was created in 2017 to provide significant upskilling in the knowledge, skills, and software applications of building design professionals so that they can meet these challenges, while creating compliant, sustainable, super-low energy, new and renovated buildings. The delivery of the programme supports upskilling of employed building design professionals at Masters level, encouraging a minority to develop their capacity and interest in research …

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Using Satellite Images Datasets For Road Intersection Detection In Route Planning, Fatmaelzahraa Eltaher, Susan Mckeever, Ayman Taha, Jane Courtney Jan 2022

Using Satellite Images Datasets For Road Intersection Detection In Route Planning, Fatmaelzahraa Eltaher, Susan Mckeever, Ayman Taha, Jane Courtney

Datasets

Understanding road networks plays an important role in navigation applications such as self-driving vehicles and route planning for individual journeys. Intersections of roads are essential components of road networks. Understanding the features of an intersection, from a simple T-junction to larger multi-road junctions is critical to decisions such as crossing roads or selecting safest routes. The identification and profiling of intersections from satellite images is a challenging task. While deep learning approaches offer state-of-the-art in image classification and detection, the availability of training datasets is a bottleneck in this approach. In this paper, a labelled satellite image dataset for the …

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Fatigue In Aircraft Maintenance Technician Schools, Natalie Zimmermann, Peng Hao Wang, Keegan Pullen Jan 2022

Fatigue In Aircraft Maintenance Technician Schools, Natalie Zimmermann, Peng Hao Wang, Keegan Pullen

International Journal of Aviation, Aeronautics, and Aerospace

Fatigue has long been identified as a human factor in aviation. Subsequently, a series of studies have highlighted fatigue-related elements within the context of the aviation industry, focusing on the flight deck – with some extension to flight students – and aviation maintenance activities. However, the latter has not been as deeply examined as its flight crew-centered counterpart. Similarly – if not more significantly – fatigue experienced by aircraft maintenance technician (AMT) students is scarcely explored, especially in comparison to the research conducted to understand fatigue in flight schools. AMT students are subject to comparable, but not the same, experiences …

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Aviation Organization Strategy Development In National Airspace Modernization, Allan Will, Samuel M. Vance Jan 2022

Aviation Organization Strategy Development In National Airspace Modernization, Allan Will, Samuel M. Vance

International Journal of Aviation, Aeronautics, and Aerospace

The purpose of this qualitative study was to determine how small sub-directorates within larger organizations develop strategy to accomplish expansive legacy infrastructure re-engineering. There is significant, historical academic inquiry on Technological Transitions (TT)s with respect to infrastructure modernization; the conversion of the National Airspace System from ground-based to space-based navigation is an example of a TT. There are also studies on how to re-engineer legacy software systems to continue supporting organizational needs. This study is intended to explore a case of re-engineering the expansive legacy ground-based navigation system in the United States by efficiently reducing the size of the network …

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Integrated Risk Assessment In Ramp Handling Operations: Risk Mapping For Turkish Airports, Ebru Yazgan, Vildan Durmaz, Ayşe Küçük Yılmaz, Konstantinos N. Malagas Jan 2022

Integrated Risk Assessment In Ramp Handling Operations: Risk Mapping For Turkish Airports, Ebru Yazgan, Vildan Durmaz, Ayşe Küçük Yılmaz, Konstantinos N. Malagas

International Journal of Aviation, Aeronautics, and Aerospace

Ramp handling acts a vital role in sustainable airport operations. The ramp related services provided to aircraft and their passengers at the airports are related to the landing, take-off, unloading and loading of the aircraft. Human resource is a key component in ramp handling operation and errors by employees cause significant accidents or incidents. The main purpose of the current study is to prioritize critical risk factors in ramp handling operations by using an integrated risk management approach and optimizing human performance while minimizing both failures and errors by employees. In this study, an integrated qualitative and quantitative risk assessment …

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The Persistence Of Safety Silence: How Flight Deck Microcultures Influence The Efficacy Of Crew Resource Management, Kimberly Perkins, Sourojit Ghosh, Julie Vera, Cecilia Aragon, Adam Hyland Jan 2022

The Persistence Of Safety Silence: How Flight Deck Microcultures Influence The Efficacy Of Crew Resource Management, Kimberly Perkins, Sourojit Ghosh, Julie Vera, Cecilia Aragon, Adam Hyland

International Journal of Aviation, Aeronautics, and Aerospace

The majority of First Officers and Captains feel that Captains establish the tone of the flight deck microculture. However, the majority of these pilots also report that as First Officers, they have hesitated to share safety-pertinent data and/or experience being silenced after sharing safety data due to a psychologically unsafe flight deck. Utilizing direct feedback from industry pilots, we explore ways that Captains can create a more inclusive microculture that elicits safety voice. The safety system designed to enhance crew collaboration, Crew Resource Management, fails to adequately establish tools for designing a psychologically safe flight deck. We conclude that Crew …

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Air Passenger Demand Forecast Through The Use Of Artificial Neural Network Algorithms, Juan Gerardo Muros Anguita, Oscar Díaz Olariaga Jan 2022

Air Passenger Demand Forecast Through The Use Of Artificial Neural Network Algorithms, Juan Gerardo Muros Anguita, Oscar Díaz Olariaga

International Journal of Aviation, Aeronautics, and Aerospace

Airport planning depends to a large extent on the levels of activity that are anticipated. To plan the facilities and infrastructures of an airport system and to be able to satisfy future needs, it is essential to predict the level and distribution of demand. This document presents a short- and medium-term forecast of the demand for air passengers carried out through a specific case study (Colombia), in which the impact of the pandemic period due to COVID-19 on air traffic was taken into account. To make the forecast, an algorithm that implements techniques based on Artificial Neural Networks (ANN) (Machine …

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Air Passenger Demand Forecast Through The Use Of Artificial Neural Network Algorithms, Juan Gerardo Muros Anguita, Oscar Díaz Olariaga Jan 2022

Air Passenger Demand Forecast Through The Use Of Artificial Neural Network Algorithms, Juan Gerardo Muros Anguita, Oscar Díaz Olariaga

International Journal of Aviation, Aeronautics, and Aerospace

Airport planning depends to a large extent on the levels of activity that are anticipated. In order to plan facilities and infrastructures of an airport system and to be able to satisfy future needs, it is essential to predict the level and distribution of demand. This document presents a short- and medium-term forecast of the demand for air passengers carried out through a specific case study (Colombia), in which the impact of the pandemic period due to COVID-19 on air traffic was taken into account. To make the forecast, an algorithm that implements techniques based on Artificial Neural Networks (ANN) …

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3d Printing Technology In Aerospace Industry – A Review, Mohammad Suhel Karkun, Sathish Dharmalingam Jan 2022

3d Printing Technology In Aerospace Industry – A Review, Mohammad Suhel Karkun, Sathish Dharmalingam

International Journal of Aviation, Aeronautics, and Aerospace

In the modern era, several new technologies are being developed for the most convenient and easy usage of materials. Due to its effortless and quick usage properties, 3D printing technology has a vast application range nowadays in different fields. The application of 3D printing technology in the aerospace industry has been developed in the past few decades, but now it has been enhanced to a new level. 3D printing technology now has several applications in the aeronautical and space sectors. Soon, 3D printing technology will be used for building habitations on other planets and for the printing of spacecraft and …

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Space Harpoon Projectile Analysis For Space Debris Capture, Miraj D. Lathia, Sam M. Dakka Dr Jan 2022

Space Harpoon Projectile Analysis For Space Debris Capture, Miraj D. Lathia, Sam M. Dakka Dr

International Journal of Aviation, Aeronautics, and Aerospace

Space debris will become a more prevalent issue in this decade as technological advancements and greater dependencies on communications require more satellites in orbit, with some companies already hosting mega-constellations. Mitigating the debris using a space-tether is the most viable method to construct a space debris capture regime with current technology levels. Harpoon heads for the tethers are key design interests as these will penetrate through the satellites and/or debris. The focus of this paper is the analysis of an aluminium 6082, flat and conical head design, used to perforate aluminium 1050A plates using a gas gun laboratory. The aim …

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Conceptual Design Of Fuel Dumping System In Aircraft, Naveen M. Kumar Mr., Ravi A. Kannan Be., Magesh L Be., Praveen T. Kumar Be., Vijay K. Babu Me., Prashanth Radhakrishnan Be. Jan 2022

Conceptual Design Of Fuel Dumping System In Aircraft, Naveen M. Kumar Mr., Ravi A. Kannan Be., Magesh L Be., Praveen T. Kumar Be., Vijay K. Babu Me., Prashanth Radhakrishnan Be.

International Journal of Aviation, Aeronautics, and Aerospace

Airlines release the unburned jet fuel into the atmosphere to reduce the weight of aircraft before landing. Sometimes, aircraft reach a weight more than takeoff weight while departing from the airport. Therefore, the pilot follows the ATC comment to dump fuel into the atmosphere to reduce the aircraft's weight to avoid accidents. Due to fuel dumping, an airline faces fuel consumption, loss, and several diseases affect environmental pollutants, and living things. The total fuel consumption of commercial airlines worldwide in 2021 is 57 billion gallons. If jet fuel routinely hit the ground, it would pollute water and land and damage …

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Space Cargo: Ultra-Fast Delivery On Earth –Potential Of Using Suborbital Space Vehicles For The Transportation Of Cargo, Robert O. Walton, Robert A. Goehlich Jan 2022

Space Cargo: Ultra-Fast Delivery On Earth –Potential Of Using Suborbital Space Vehicles For The Transportation Of Cargo, Robert O. Walton, Robert A. Goehlich

International Journal of Aviation, Aeronautics, and Aerospace

No abstract provided.

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Accuracy Of Commercially-Available Speech Recognition Systems In Identifying Pirep Terminology, Deborah Carstens, Ph.D., Michael S. Harwin, J.D., M.S., Tianhua Li, Ph.D., Michael Splitt, M.S., Ridwan Olabanji, M.S. Jan 2022

Accuracy Of Commercially-Available Speech Recognition Systems In Identifying Pirep Terminology, Deborah Carstens, Ph.D., Michael S. Harwin, J.D., M.S., Tianhua Li, Ph.D., Michael Splitt, M.S., Ridwan Olabanji, M.S.

International Journal of Aviation, Aeronautics, and Aerospace

Pilot Reports (PIREPs) are an important source of information that aids, other pilots, air traffic control, and operational aviation meteorologists in terms of forecasting and updating weather advisories such as SIGMETs. Pilots rely upon PIREPs so they can avoid hazardous weather and fly their aircraft in the safest manner possible. However, many PIREPs are not successfully submitted or transmitted to the many end users which impedes their ability to be used to keep the NAS safe. The National Transportation Safety Board (NTSB) made several recommendations for increasing the effectiveness and distribution of PIREPs, including receiving PIREPs from pilots directly and …

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A Systems Engineering Approach For Developing A Mars In Situ Propellant Production System, Rafael E. Martinez Paruta Jan 2022

A Systems Engineering Approach For Developing A Mars In Situ Propellant Production System, Rafael E. Martinez Paruta

LMU Theses and Dissertations

Systems Engineering methodology applied to the development of an In Situ Propellant Production system in Mars.

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Vanet Broadcast Protocol: A Multi-Hop Routing Framework For Vehicular Networks In Ns-3, William M. Bjorndahl Jan 2022

Vanet Broadcast Protocol: A Multi-Hop Routing Framework For Vehicular Networks In Ns-3, William M. Bjorndahl

LMU Theses and Dissertations

Vehicles are more frequently being built with hardware that supports wireless communica- tion capabilities. Dedicated short-range communications (DSRC) is a standard that enables the hardware on vehicles to communicate with one another directly rather than through external infrastructure such as a cellular tower. With DSRC supporting small-range communications, multi-hop routing is utilized when a packet needs to reach a long-range destination. A vehicular ad-hoc network (VANET) broadcast protocol (VBP) was developed. This thesis introduces VBP, an open-source framework for simulating multi-hop routing on mobile and wireless vehicular networks. VBP is built for the routing layer of the network simulation tool …

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Dynamic Modeling Of Inland Flooding And Storm Surge On Coastal Cities Under Climate Change Scenarios: Transportation Infrastructure Impacts In Norfolk, Virginia Usa As A Case Study, Yawen Shen, Navid Tahvildari, Mohamed M. Morsy, Chris Huxley, T. Donna Chen, Jonathan Lee Goodall Jan 2022

Dynamic Modeling Of Inland Flooding And Storm Surge On Coastal Cities Under Climate Change Scenarios: Transportation Infrastructure Impacts In Norfolk, Virginia Usa As A Case Study, Yawen Shen, Navid Tahvildari, Mohamed M. Morsy, Chris Huxley, T. Donna Chen, Jonathan Lee Goodall

Civil & Environmental Engineering Faculty Publications

Low-lying coastal cities across the world are vulnerable to the combined impact of rainfall and storm tide. However, existing approaches lack the ability to model the combined effect of these flood mechanisms, especially under climate change and sea level rise (SLR). Thus, to increase flood resilience of coastal cities, modeling techniques to improve the understanding and prediction of the combined effect of these flood hazards are critical. To address this need, this study presents a modeling system for assessing the combined flood impact on coastal cities under selected future climate scenarios that leverages ocean modeling with land surface modeling capable …

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Editorial: Coastal Flooding: Modeling, Monitoring, And Protection Systems, Valentina Prigiobbe, Clint Dawson, Yao Hu, Hatim O. Sharif, Navid Tahvildari Jan 2022

Editorial: Coastal Flooding: Modeling, Monitoring, And Protection Systems, Valentina Prigiobbe, Clint Dawson, Yao Hu, Hatim O. Sharif, Navid Tahvildari

Civil & Environmental Engineering Faculty Publications

Coastal flooding has received significant attention in recent years due to future sea-level rise (SLR) projections and intensification of precipitation, which will exacerbate frequent flooding, coastal erosion, and eventually create permanently inundated low-elevation land. Coastal governments will be forced to implement measures to manage risk on the population and infrastructure and build protection systems to mitigate or adapt to the negative impacts of flooding. Research in this area is required to establish holistic frameworks for timely and accurate flooding forecast and design of protection systems.

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Exploring The Spatially Heterogeneous Effects Of The Built Environment On Bike-Sharing Usage During The Covid-19 Pandemic, Hongtai Yang, Zishuo Guo, Guocong Zhai, Linchuan Yang, Jinghai Huo Jan 2022

Exploring The Spatially Heterogeneous Effects Of The Built Environment On Bike-Sharing Usage During The Covid-19 Pandemic, Hongtai Yang, Zishuo Guo, Guocong Zhai, Linchuan Yang, Jinghai Huo

Civil & Environmental Engineering Faculty Publications

Bike-sharing holds promise for available and healthy mobility services during COVID-19 where bike sharing users can make trips with lower health concerns due to social distancing compared to the restricted transportation modes such as public transit and ridesharing services. Leveraging the trip data of the Divvy bike-sharing system in Chicago, this study explores spatially heterogeneous effects of built environment on bike-sharing usage under the pandemic. Results show that the average weekly ridership declined by 52.04%. To account for the spatially heterogeneous relationship between the built environment and the ridership, the geographically weighted regression (GWR) model and the semiparametric GWR (S-GWR) …

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Detection Of Overlapping Passive Manipulation Techniques In Image Forensics, Gianna S. Lint, Umit Karabiyik Jan 2022

Detection Of Overlapping Passive Manipulation Techniques In Image Forensics, Gianna S. Lint, Umit Karabiyik

Annual ADFSL Conference on Digital Forensics, Security and Law

With a growing number of images uploaded daily to social media sites, it is essential to understand if an image can be used to trace its origin. Forensic investigations are focusing on analyzing images that are uploaded to social media sites resulting in an emphasis on building and validating tools. There has been a strong focus on understanding active manipulation or tampering techniques and building tools for analysis. However, research on manipulation is often studied in a vacuum, involving only one technique at a time. Additionally, less focus has been placed on passive manipulation, which can occur by simply uploading …

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A Risk-Averse Mechanism For Suicidality Assessment On Social Media, Ramit Sawhney, Atula Tejaswi Neerkaje, Manas Gaur Jan 2022

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% …

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Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth Jan 2022

Process Knowledge-Infused Learning For Suicidality Assessment On Social Media, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Improving the performance and natural language explanations of deep learning algorithms is a priority for adoption by humans in the real world. In several domains, such as healthcare, such technology has significant potential to reduce the burden on humans by providing quality assistance at scale. However, current methods rely on the traditional pipeline of predicting labels from data, thus completely ignoring the process and guidelines used to obtain the labels. Furthermore, post hoc explanations on the data to label prediction using explainable AI (XAI) models, while satisfactory to computer scientists, leave much to be desired to the end users due …

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Wise Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study In Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, Amit Sheth Jan 2022

Wise Causal Models: Wisdom Infused Semantics Enhanced Causal Models - A Study In Suicidality Diagnosis, Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Sanjay Chandrasekar, Amit Sheth

Publications

The COVID-19 Pandemic has highlighted the gap between the number of mental health care seekers and care providers. Netizens have taken to internet-based platforms such as Reddit to express their experiences. Mental illness diagnosis processes have clinically accepted causal interpretations and semantics. Curiously, mental illness diagnosis accuracy is low relative to similar well-studied illnesses. Motivated by this discrepancy, we propose Wisdom Infused Semantics Enhanced (WISE) causal models, inspired by the wisdom of the crowd idea that learns from a collective agreement among causal models and their semantics for mental illness diagnoses. We use suicidality diagnosis task descriptions, datasets, and baseline …

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Knowledge-Infused Reinforcement Learning, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth Jan 2022

Knowledge-Infused Reinforcement Learning, Kaushik Roy, Manas Gaur, Qi Zhang, Amit Sheth

Publications

Virtual health agents (VHAs) have received considerable attention, but the early focus has been on collecting data, helping patients follow generic health guidelines, and providing reminders for clinical appointments. While presenting the collected data and frequency of visits to the clinician is useful, further context and personalization are needed for a VHA to interpret and understand what the data means in clinical terms. This has made their use in managing health limited. Such understanding enables patient empowerment and self-appraisal – i.e., aiding the patient in interpreting the data to understand the changes in the patient’s health conditions, and self-management – …

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Deeppose: Detecting Gps Spoofing Attack Via Deep Recurrent Neural Network, Peng Jiang, Hongyi Wu, Chunsheng Xin Jan 2022

Deeppose: Detecting Gps Spoofing Attack Via Deep Recurrent Neural Network, Peng Jiang, Hongyi Wu, Chunsheng Xin

Electrical & Computer Engineering Faculty Publications

The Global Positioning System (GPS) has become a foundation for most location-based services and navigation systems, such as autonomous vehicles, drones, ships, and wearable devices. However, it is a challenge to verify if the reported geographic locations are valid due to various GPS spoofing tools. Pervasive tools, such as Fake GPS, Lockito, and software-defined radio, enable ordinary users to hijack and report fake GPS coordinates and cheat the monitoring server without being detected. Furthermore, it is also a challenge to get accurate sensor readings on mobile devices because of the high noise level introduced by commercial motion sensors. To this …

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Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification At Jefferson Laboratory, Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md. Monibor Rahman, Anna S. Shabalina Jan 2022

Deep Learning Based Superconducting Radio-Frequency Cavity Fault Classification At Jefferson Laboratory, Lasitha Vidyaratne, Adam Carpenter, Tom Powers, Chris Tennant, Khan M. Iftekharuddin, Md. Monibor Rahman, Anna S. Shabalina

Electrical & Computer Engineering Faculty Publications

This work investigates the efficacy of deep learning (DL) for classifying C100 superconducting radio-frequency (SRF) cavity faults in the Continuous Electron Beam Accelerator Facility (CEBAF) at Jefferson Lab. CEBAF is a large, high-power continuous wave recirculating linac that utilizes 418 SRF cavities to accelerate electrons up to 12 GeV. Recent upgrades to CEBAF include installation of 11 new cryomodules (88 cavities) equipped with a low-level RF system that records RF time-series data from each cavity at the onset of an RF failure. Typically, subject matter experts (SME) analyze this data to determine the fault type and identify the cavity of …

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Bitcoin Selfish Mining Modeling And Dependability Analysis, Chencheng Zhou, Liudong Xing, Jun Guo, Qisi Liu Jan 2022

Bitcoin Selfish Mining Modeling And Dependability Analysis, Chencheng Zhou, Liudong Xing, Jun Guo, Qisi Liu

Electrical & Computer Engineering Faculty Publications

Blockchain technology has gained prominence over the last decade. Numerous achievements have been made regarding how this technology can be utilized in different aspects of the industry, market, and governmental departments. Due to the safety-critical and security-critical nature of their uses, it is pivotal to model the dependability of blockchain-based systems. In this study, we focus on Bitcoin, a blockchain-based peer-to-peer cryptocurrency system. A continuous-time Markov chain-based analytical method is put forward to model and quantify the dependability of the Bitcoin system under selfish mining attacks. Numerical results are provided to examine the influences of several key parameters related to …

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Using Skeleton Correction To Improve Flash Lidar-Based Gait Recognition, Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir Dhar, Babajide Familoni, Khan Iftekharuddin, Scott T. Acton Jan 2022

Using Skeleton Correction To Improve Flash Lidar-Based Gait Recognition, Nasrin Sadeghzadehyazdi, Tamal Batabyal, Alexander Glandon, Nibir Dhar, Babajide Familoni, Khan Iftekharuddin, Scott T. Acton

Electrical & Computer Engineering Faculty Publications

This paper presents GlidarPoly, an efficacious pipeline of 3D gait recognition for flash lidar data based on pose estimation and robust correction of erroneous and missing joint measurements. A flash lidar can provide new opportunities for gait recognition through a fast acquisition of depth and intensity data over an extended range of distance. However, the flash lidar data are plagued by artifacts, outliers, noise, and sometimes missing measurements, which negatively affects the performance of existing analytics solutions. We present a filtering mechanism that corrects noisy and missing skeleton joint measurements to improve gait recognition. Furthermore, robust statistics are integrated with …

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