Engineering Commons^™

Technical Data Package For Sysmlv2 Vignettes, Allen W. Dukes

Student Publications

This Technical Data Package (TDP) thoroughly compiles instructions, concepts, and solutions for eight SysMLv2 vignettes. Each vignette illustrates methods to solve complex system modeling challenges. The initial concept for each vignette can drive the use and evaluation of a custom SysMLv2 modeling tool as shown in [1]. They can support a baseline set of tasks to compare usability with other SysMLv2 modeling software tools.

The document starts with three pairs of vignettes for modeling a hypothetical Unmanned Aerial Vehicle (UAV) operated with a Virtual Reality (VR) headset derived from AFIT WKSP 696. The final pair of vignettes focus on two …

Taxonomy Of Trust And Maslow’S Hierarchy Of Needsin The Construction Industry, Ann B. Lyons, Vivek Sharma, Shima Clarke

The Professional Constructor

Trust is vital in every facet of life, enabling collaborative efforts and valuing contributions from various individuals. This is particularly true in the construction industry, where teamwork is essential for success. Prior research has consistently demonstrated that heightened trust levels significantly contribute to better project outcomes and increased client satisfaction. Despite its critical role, the construction industry has yet to adopt a structured hierarchical perspective of trust that aligns with its unique demands. This study aims to fill this gap by validating a comprehensive taxonomy of trust specifically designed for the construction sector. Through literature review, this study identifies key …

Geodatabase And Modeling Code Used For Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were extracted from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites showed spatial and temporal FS accuracy despite some false positives. We also developed a landslide susceptibility maps (LSM) after comparing three machine learning algorithms, with bagged trees achieving the highest …

Retraction Notice To “High Density Conductive Lifepo4 Cathode With Enhanced High-Rate And High Temperature Performance” [Mater. Chem. Phys. 232 (2019) 367–373, (S0254058419304110), (10.1016/J.Matchemphys.2019.05.014)], David Seung-Hyun Lee, Won Bin Im, Xinhua Liang

Chemical and Biochemical Engineering Faculty Research & Creative Works

This article has been retracted: please see Elsevier Policy on Article Withdrawal (https://www.elsevier.com/about/policies/article-withdrawal). This article has been retracted at the request of the Editor-in-Chief. The Editor-in-Chief found that the corresponding author of this article submitted the manuscript to the journal without the consent of the two individuals named as "co-authors", using invented email addresses to impersonate them. In addition, based on the raw materials presented to the journal by the second co-author and the Editor-in-Chief's own investigation, the Editor-in-Chief believes that some results in the paper are fabricated. Based on these two findings, the Editor-in-Chief has decided to retract the …

Experimental Data For: "Effects Of Network Connectivity And Functional Diversity Distribution On Human Collective Ideation", Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. Maclaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, Hiroki Sayama

Systems Science and Industrial Engineering Faculty Scholarship

This is the dataset collected from our online human-subject experiments described in the following manuscript:

Yiding Cao, Yingjun Dong, Minjun Kim, Neil G. MacLaren, Sriniwas Pandey, Shelley D. Dionne, Francis J. Yammarino, and Hiroki Sayama:
"Effects of Network Connectivity and Functional Diversity Distribution on Human Collective Ideation"
https://arxiv.org/abs/2307.04284

Geodatabase And Automation Code Used For Past And Real-Time Dynamic Landslide Hazard Maps In Eastern Kentucky, Nathaniel O'Leary, L. Sebastian Bryson, Jason M. Dortch

Earth and Environmental Sciences Research Data

We developed spatiotemporal landslide hazard maps (LHMs) using soil, hydrologic, and geomorphic parameters from the subaerial infinite slope factor of safety (FS) equation under unsaturated conditions. Soil properties were sourced from the NRCS WSS, while geomorphic variables were derived from a 1.5 m LiDAR-based DEM and ArcGIS Online. Soil moisture from Hydrus-1D, driven by precipitation and evapotranspiration (ET) data from Irrigation Manager, introduced temporal variability. Validation against known landslide sites demonstrated FS accuracy both spatially and temporally, despite some false positives. To reduce false positives and enhance slope stability representation, novel depth-to-bedrock (DTB) and soil root cohesion maps were incorporated …

Self-Optimized Agent For Load Balancing And Energy Efficiency: A Reinforcement Learning Framework With Hybrid Action Space, Bishoy Salama Attia, Aamen Elgharably, Mariam Nabil Aboelwafa, Ghada Alsuhli, Karim Banawan, Karim G. Seddik

Faculty Journal Articles

We consider the problem of jointly enhancing the network throughput, minimizing energy consumption, and improving the network coverage of mobile networks. The problem is cast as a reinforcement learning (RL) problem. The reward function accounts for the joint optimization of throughput, energy consumption, and coverage (through the number of uncovered users); our RL framework allows the network operator to assign weights to each of these cost functions based on the operator's preferences. Moreover, the state is defined by key performance indicators (KPIs) that are readily available on the network operator side. Finally, the action space for the RL agent comprises …

Bridge Inspection Training And Enhanced Operations Using Augmented Reality, Fernando Moreu, Ali Mohammadkhorasani, Kaveh Malek

Data

This research project focused on the innovative application of Augmented Reality (AR) headsets to enhance bridge inspection processes and inspection training. The study encompassed the visualization of 3D point cloud data, utilized the Eye-Tracking features of AR headsets for inspection quantification, evaluate the applicability of AR in the bridge inspection training and instruction of an AR virtual menu for the in-field bridge inspection. The primary tasks included establishing a database connection for AR headset, designing an AR menu tailored for bridge inspection, devising an evaluation method based on Eye-Tracking capabilities, and integrating AR into bridge inspection training. Once the technical …

Countermeasures To Improve Pedestrian Safety On Arterials, Nicholas Ferenchak

Data

This work analyzed the pedestrian safety and overall traffic safety impacts – in terms of both motor vehicle speeds and crash outcomes – of several countermeasures applied to the Central Avenue arterial corridor in Albuquerque, New Mexico. Findings suggest that the infrastructure changes associated with a bus rapid transit (BRT) system improved traffic safety by reducing vehicle 85^th percentile speeds by 11.5% and reducing serious and fatal injuries by 60.0%. While pedestrian safety outcomes were more variable, pedestrians generally fared better on BRT segments than on control segments. The mechanism behind these improvements was traffic calming through the BRT’s …

Smart3pm: Smart Pavement Monitoring, Management, And Maintenance, Damien Stephens, Mena Souliman, Mukul Shirvaikar, Samer Dessouky

Data

An application specific multi-platform smartphone application can utilize on-board accelerometer, gyroscope, and GPS sensors, along with software derived signals from the same sensors, to sample vibrational and geolocation datasets to capture pavement distresses such as potholes when mounted in a standardized configuration in a vehicle. Several observations were made with regard to the signals obtained from the accelerometer, gyroscope, and GPS sensors, and it was determined that the raw sensor outputs are capable of sampling statistically significant datasets which can be used to distinguish pavement distress from normal driving conditions. Furthermore, an approximate sensor noise margin is established, and a …

Green Mobility In Texas: Comparative Environmental Impacts And Lifecycle Cost Analysis Of Hybrid, Electric, And Hydrogen Fuel Cell Cars, Raghava R. Kommalapati, Hongbo Du, Md Jobair Bin Alam

Data

Compared to gasoline/diesel cars and battery electric cars (BECs), hydrogen fuel cell cars (HFCCs) are relatively new. Two main advantages of HFCCs over electric vehicles are no special requirements for heavy batteries and long charging time. There is no HFCC in Texas; thus, exploring the use of electricity or hydrogen produced from renewable energies for personal cars and mitigating vehicle emissions is critical for sustaining a long-term decarburization strategy for megacities like Houston and Dallas. This project addressed this critical gap and developed environmental impacts and cost assessments for hybrid gasoline cars, BECs, and HFCCs in Texas under several possible …

Motorcycle Crash Analysis, Hatim Sharif, Samer Dessouky

Data

The Fatality Analysis Reporting System database shows that, in stark contrast to the 34 percent decline in non-motorcyclist crash–related fatalities, motorcyclist crash–related fatalities were up 86 percent with only three year-to-year declines since 1997, while non-motorcyclist crash–related fatalities had 13 year-to-year declines since 1997. At the national level, the rate of motorcyclist fatalities per vehicle mile traveled is 29 times higher than the rate among passenger car occupants, with overall injury rates approximately five times higher among motorcyclists than passenger car occupants. Given the frequency of motorcycle crashes and their staggering toll in terms of loss of life and economic …

The Effect Of Covid-19 Lockdown On Traffic Crashes In Texas., Hatim Sharif, Samer Dessouky

Data

An analysis of traffic patterns during COVID-19 has identified that reduction in the miles traveled has a significant negative correlation with COVID-19 cases and deaths across the USA. Preliminary statistics in the US suggest an increase in fatal crashes over the period of the lockdown in comparison to the same period in previous years. Moreover, while total crashes are down, motor vehicle crashes involving non-motorists became more prevalent. At the same time, non-motorist traffic has increased while motor vehicle traffic and crashes have shifted to the local systems. The main goal of this research is to perform a comprehensive evaluation …

Identifying Wrong-Way Driving Entry Points On Interstate Highways Using Land-Use Impact Assessment And 911 Calls, Farman Mia, Samer Dessouky

Data

The research aims to provide insight into the initiation event of Wrong-way Driving (WWD) on highways. The intense severity of a WWD accident is encouraging the authorities to install mitigation systems that will ensure safety for motorists on highways. The WWD events are mostly resulting of intoxicated driving, where the unconscious driver takes the wrong way to enter the highway and place other motorists into life-threatening danger. This research attempted to explore from basic knowledge of WWD occurrence to examine the origin and driving philosophy of intoxicated drivers from land-use impact and mathematical modeling point of views. To identify the …

Framework Of Internal Damage Identification In Inhomogeneous Medium Interweaving Wave Scattering Model And Deep Learning, Suyun Ham, Stefan Romanoschi, Yin Chao Wu, Dafnik Saril Kumar David

Data

The primary objective of this project is to investigate the framework of internal damage identification in inhomogeneous media (IHM) using deep learning techniques and wave scattering. The study focuses on two main steps: 1) analyzing the wave response pattern in homogeneous media (HM) and 2) characterizing the wave response variation (WRV) in IHM with different aggregate sizes and random distributions. The WRV patterns are then classified and used to predict internal damage using a convolutional neural network (CNN). The accuracy of the finite element (FE) model is verified using laboratory tests with artificial internal crack models of varying depths. The …

Stabilization Of Expansive Soil Using Geopolymers From Locally Available Resources, Anand Puppala, Miladin Radovic, Nripojyoti Biswas, Sopharith Chou, Oscar Huang

Data

Traditional calcium-based stabilizers are generally used to stabilize native expansive soils that are often found throughout Region 6. Due to their high carbon footprint, many studies are being conducted to identify a suitable green alternative for stabilizing expansive soils. Geopolymer (GP) received a lot of attention in the past few decades owing to its similar properties to that of ordinary Portland cement (OPC) yet with a lower carbon footprint. Previous studies have shown that metakaolin-based GP is an effective stabilizer to stabilize expansive soils. This study investigated the feasibility of stabilizing native expansive soils with GP synthesized with locally sourced …

Monitoring Of Transportation System Assets Using Synthetic Aperture Radar (Sar) Satellite Data, Anand Puppala, Nripojyoti Biswas, Amit Gajurel

Data

This research harnessed both high and medium resolution Synthetic Aperture Radar (SAR) data to delve into infrastructure health assessment. High resolution SAR analyses capable of identifying differences between asphalt and concrete pavement surfaces. Particularly, it was found that Normalized Radar Cross Section (NRCS) values can deftly distinguish pavement types and detect surface anomalies such as alligator cracks in asphalt ahead of conventional methods. On the other hand, Time-Series Interferometric Synthetic Aperture Radar (InSAR) insights, extracted from medium resolution SAR, established a direct linkage between environmental factors and ground deformations. Such findings were corroborated by optical images collected during May 2017 …

Eco-Driving Of Connected And Autonomous Vehicles Approaching And Departing Signalized Intersections, Xiangyu Meng, Tonmoy Sarkar

Data

Eco-driving is a driving strategy that focuses on reducing fuel consumption, carbon emissions, and improving passenger comfort through the implementation of safe and anticipatory driving strategies. One method to improve eco-driving in autonomous vehicles is the optimal control approach, which utilizes ‘Signal Phase and Time’ (SPaT) information to determine an energy-efficient trajectory for vehicles approaching and departing signalized intersections. Camera-based vision systems and deep learning techniques can be implemented to recognize the traffic signal head and its phase information, further enabling the vehicle to adapt its driving patterns for improved fuel efficiency and reduced emissions. This report reviews advancements in …

Lead Bioaccessibility And Commonly Measured Soil Characteristics (Detroit, Mi, Usa) – Phase 1, Sabrina R. Good, Allison R. Harris, Patrick Crouch, Conor T. Gowan, William D. Shuster, Shawn P. Mcelmurry

Open Data at Wayne State

Contaminated urban soil is one of the major contributors to child Pb exposure. To gain a better understanding of Pb risk in urban areas, composite samples were collected from 142 residential, privately owned, parcels in Detroit, Hamtramck, and Highland Park, Michigan, with approval from the property owners. The proximity of soil sampling and former smelter locations were also reported. Sample were collected from areas covered with turf grass. Four samples were collected, one from each cardinal direction (north, south, east, and west), 20 cm from an aluminum tent stake driven into the center of the sampling site. Soils were collected …

Scenario Analysis Of Drinking Water Infrastructure Rightsizing In Flint, Michigan: Model Pipe Conditions, Richard Casey Sadler, Hyun Jeong Koo, Basheer Allamy, Shawn P. Mcelmurry

Open Data at Wayne State

Sustainable urban systems require appropriately sized infrastructure. However, when cities face economic and population decline, hardened infrastructure - such as drinking water distribution systems – is difficult and costly to modify. This dataset provides the results of a modeling exercise performed using EPANET (Version 2.2) to examine potential scenarios for rightsizing water infrastructure in a shrinking city. The modeling was performed utilizing a full-scale, calibrated hydraulic model of the drinking water distribution system in Flint, Michigan obtained through a Memorandum of Understanding between the City of Flint and Wayne State University.

For this analysis, in addition to a base model, …

Scenario Analysis Of Drinking Water Infrastructure Rightsizing In Flint, Michigan: Model Census Tract Results, Richard Casey Sadler, Hyun Jeong Koo, Basheer Allamy, Shawn P. Mcelmurry

Open Data at Wayne State

Sustainable urban systems require appropriately sized infrastructure. However, when cities face economic and population decline, hardened infrastructure - such as drinking water distribution systems – is difficult and costly to modify. This dataset provides the results of a modeling exercise performed using EPANET (Version 2.2) to examine potential scenarios for rightsizing water infrastructure in a shrinking city. The modeling was performed utilizing a full-scale, calibrated hydraulic model of the drinking water distribution system in Flint, Michigan obtained through a Memorandum of Understanding between the City of Flint and Wayne State University.

For this analysis, in addition to a base model, …

Matthew Gaber: Peekaboo, Matthew Gaber, Mohiuddin Ahmed, Helge Janicke

Research Datasets

Cyber-attacks continue to evolve, increasing in frequency and sophistication where Artificial Intelligence (AI) is becoming essential in detecting modern malware. However, the accuracy of AI in malware detection is dependent on the quality of the features it is trained with. Static and dynamic analysis of malware is limited by the widespread use of obfuscation and anti-analysis techniques employed by malware authors, where if an analysis environment is detected the malware will hide its malicious behavior. However, Dynamic Binary Instrumentation (DBI) allows deep and precise control of the malware sample, thereby facilitating the extraction of authentic features from sophisticated and evasive …

Interaction In Games: Custom Driving Controller, Christian Crank

Symposium of Student Scholars

The problem I am trying to solve pertains to the high entry costs and the requirements to fully enjoy driving games. Driving games always sound like a fun experience, but without the right controller the game feels lackluster, uncomfortable, and not quite immersive. The problem is, if someone wants a gaming experience that makes the game feel natural and sensory, they may need to drop hundreds to thousands of dollars. Furthermore, they don’t even know if the expensive equipment will provide them with the experience they want. These expensive controllers are set up in a way to be universal and …

Interaction In Games: Digital Board Game Hybrid, Ryan Whisenhunt, Logan Haines

Symposium of Student Scholars

The realm of digital board game hybrids is a relatively new field, and a majority of games currently use computerization for casual board games or accentuating flavor. There is still plenty of room to use these ideas for more complex board games and means. In this study, we explore the avenues in which digital implementation of physical games can provide a streamlined and accessible gameplay experience. Participants in the study will be given a chance to play a short version of the game. A retrospective will be conducted after, where respondents are interviewed on how well the computer supported the …

Molecular Dynamics Simulations Of The Spontaneous Deformation And Auxetics Behavior During Tensile Test Of A Nematic Liquid Crystal Elastomer Model, Haoran Wang, Nanang Mahardika

Browse all Datasets

Nematic liquid crystal elastomers (LCEs) are advanced materials known for their shape-changing capability in response to external stimuli such as heat, light and electromagnetic fields. This makes them excellent candidates for applications like soft robotics and energy harvesting. While studies on their physical behavior have shed light on the complex nonlinear mechanics of LCEs, investigations through all-atom molecular dynamics (MD) simulations remain an underutilized avenue compared to experimental and theoretical analyses. This limited use is primarily due to the lack of well-established frameworks for conducting high-fidelity atomistic simulations of LCEs. To bridge this gap, we introduce an all-atom MD simulation …

Information Management And Bim Standards And Supports Inventory, Ryan Dempsey, Barry Mcauley, David Burke

Tools

The Digital Standards pillar consists of industry experts who champion the benefits of common rules, guidelines, and workflows that facilitate the improvement of information flow and information management across asset life cycles. Digital standards provide a common language that can be translated to technical specifications enabling clients, designers, contractors, and facilities managers, irrespective of their preferred tools, to communicate efficiently and reduce cost, rework, and disputes. Working closely with the Digital Procurement and Digital Education and Training pillars, this pillar is developing and delivering Irish Information Management/BIM (Digital Construction) guidelines for the sector.

This report summarises existing digital construction standards, …

Evolutionary History Of Western Eos Chaos Of Valles Marineris, Mars: Insights From Morphological Characteristics, Asif Iqbal Kakkassery, V. J. Rajesh, Rishitosh K. Sinha, Devika Padmakumar, K. S. Sajinkumar

Michigan Tech Publications, Part 1

The dynamics of aqueous processes within the Eos Chasma region in the trough of Valles Marineris on Mars have been attributed to a variety of Hesperian-aged landforms. We aim to improve the understanding of the geological characteristics of the western part of the Eos Chaos by investigating the morphological, topographical, and thermo-physical characteristics of the western semi-circular segment of Valles Marineris. The western Eos Chaos is characterized by remnants of an elevated crater rim, a central peak, and a circular boundary. Based on these observations, we infer that the study area is an ancient, highly degraded impact crater. Our observations …

Biomat (Biomechanics Multiactivity Transformer) Model, Mohsen Sharifi Renani

BioMAT (Biomechanics Multiactivity Transformer)

No abstract provided.

Pectus Carinatum Patient Brace Data, Brandon Scott Sargent, Katie Varela, Dennis Eggett, Emily Mckenna, Christina Bates, Rebeccah Brown, Victor Garcia, Larry Howell

ScholarsArchive Data

Data for the journal article "Modeling of the chest wall response to prolonged bracing in pectus carinatum" submitted to PLOS One in 2023 by Sargent et al. The data is a recording of prescribed brace pressures, patient reported hours of wear, and clinician recorded pressure to correct through the treatment process. The data file was compiled via Microsoft Excel as part of the Microsoft 365 Office Suite. The top row of each sheet within the file is the header line with the data in all subsequent rows. The journal article contains an in-depth definition of the variables used in the …

Intelligen Superpro Designer Files For Economic Simulation Of Batch And Continuous Aqueous Two-Phase Purification For Viral Products, Natalie Nold, Eric Pearson, Caryn L. Heldt

Michigan Tech Research Data

Vaccine manufacturing strategies that lower capital and production costs could improve vaccine access by reducing the cost per dose and encouraging localized manufacturing. Continuous processing is increasingly utilized to drive lower costs in biological manufacturing by requiring fewer capital and operating resources. Aqueous two-phase systems (ATPS) are a liquid-liquid extraction technique that enables continuous processing for viral vectors. To date, no economic comparison between viral vector purifications using traditional methods and ATPS has been published. In this work, economic simulations of traditional chromatography-based virus manufacturing were compared to simulations of ATPS-based virus manufacturing for the same product output in both …