Engineering Commons^™

Special Vehicle Driving Training Simulation System Based On Integration Of Virtuality And Reality, Xiangyang Li, Wang Xiao, Zhili Zhang, Yihao Li, Long Yong

Journal of System Simulation

Abstract: Aiming at the actual demands of special vehicle driving training, special vehicle driving training simulation system is designed and developed based on the integration of virtuality and reality mode. Through building all kinds of mathematical models, functional modules, workflows and control software, and applying the cab that same as actual equipment with manipulating device, central control instrument and driving seat, immersive driving training environment with integration of virtuality and reality is established based on 6-DoF motion platform and its control system as well as multi-channel visual display device. It can provide the integrated support platform with “educating, training and …

Low Power Visual Odometry Technology Based On Monocular Depth Estimation, Ma Rong, Qiurui Chen, Zhang Han, Mei Zheng, Wang Rui, Wei Wei

Journal of System Simulation

Abstract: With the development of artificial intelligence, precision machinery and computing technology, micro-unmanned system will play an important role in the future battlefield. To solve the lack of monocular visual odometry scale, micro robot power consumption and load limits, the monocular depth estimation technology is introduced and a low view dataset is collected. A convolutional neural network to predict depth information from a single image is built, and the structure of neural network model is optimized. The depth estimation with monocular visual odometry are combined and deployed on JetsonNano. Experiments show that the combined monocular visual odometry can recover scale …

Variety Recognition Based On Deep Learning And Double-Sided Characteristics Of Maize Kernel, Feng Xiao, Zhang Hui, Zhou Rui, Qiao Lu, Wei Dong, Dandan Li, Yuyao Zhang, Guoqing Zheng

Journal of System Simulation

Abstract: In order to construct a maize kernel variety recognition model with high recognition accuracy and suitable for mobile phone application, a mobile phone is used to obtain maize kernel double-sided (embryonic and non-embryonic) images. Based on the lightweight convolutional neural network MobileNetV2 and transfer learning, a maize kernel image variety recognition model is constructed. In view of the existing research methods are mainly for single-sided recognition of maize kernel variety, the performance of single-sided and double-sided characteristics modeling and recognition is compared. The results show that the double-sided recognition accuracy of maize kernel double-sided characteristics modeling is 99.83%, which …

Single Event Transient Sensitivity Measurement And Worst-Case Test Vector Exploration For Asic Devices Exposed To Space Single Event Environment, Mohamed Wael

Theses and Dissertations

Space radiation and nuclear reactors produce single event effects (SEE) in electronic circuits and impact their performance. The SEE phenomena cause circuits and electronic devices to fail by producing faulty results. Therefore, today’s circuit’s reliability is a significant concern for all circuit designers.

This thesis suggests a new automated flow to measure the single-event-transient (SET) effects in combinational circuits in application-specific integrated circuits (ASIC) while reaching full fault coverage. The developed flow characterizes the whole circuit nodes by identifying the most sensitive paths to the propagated SET pulses from the node under test to an observable primary output, causing single …

Q&Ai: Provost Margaret Mcfadden Discusses The New Davis Institute For Artificial Intelligence And How The Liberal Arts Can Shape The Future Of Ai, Laura Meader

Colby Magazine

Following the announcement in January of a $30-million gift from the Davis family and trustee of its charitable foundation Andrew Davis ’85, LL.D. ’15 to establish the Davis Institute for Artificial Intelligence, the first of its kind at a liberal arts college, Provost and Dean of Faculty Margaret McFadden sat down with Colby Magazine’s Laura Meader to better explain the institute and its developing academic program.

Self-Relabeling For Noise-Tolerant Retina Vessel Segmentation Through Label Reliability Estimation, Jiacheng Li, Ruirui Li, Ruize Han, Song Wang

Faculty Publications

Background Retinal vessel segmentation benefits significantly from deep learning. Its performance relies on sufficient training images with accurate ground-truth segmentation, which are usually manually annotated in the form of binary pixel-wise label maps. Manually annotated ground-truth label maps, more or less, contain errors for part of the pixels. Due to the thin structure of retina vessels, such errors are more frequent and serious in manual annotations, which negatively affect deep learning performance.

Methods In this paper, we develop a new method to automatically and iteratively identify and correct such noisy segmentation labels in the process of network training. We consider …

Graphene Oxide Functionalized Biosensor For Detection Of Stress-Related Biomarkers, Erican Santiago, Shailu Shree Poudyal, Sung Y. Shin, Hyeun Joong Yoon

Michigan Tech Publications, Part 1

A graphene oxide (GO)-based cortisol biosensor was developed to accurately detect corti-sol concentrations from sweat samples at point-of-care (POC) sites. A reference electrode, counter electrode, and working electrode make up the biosensor, and the working electrode was functional-ized using multiple layers consisting of GO and antibodies, including Protein A, IgG, and anti-Cab. Sweat samples contact the anti-Cab antibodies to transport electrons to the electrode, resulting in an electrochemical current response. The sensor was tested at each additional functionalization layer and at cortisol concentrations between 0.1 and 150 ng/mL to determine how the current response differed. A potentiostat galvanostat device was …

Physiological Signal Analysis For Emotion Estimation Of Children With Autism Spectrum Disorder, Janet Pulgares Soriano, Karla Conn Welch Phd

Posters-at-the-Capitol

The diagnosis of Autism Spectrum Disorder (ASD) in children is based on human observations by a clinician. The medical evaluation assesses deficits in social communication, social interaction, and restricted, repetitive behaviors. Robotic technology can assist in quantitatively measuring the observations to be used as a future tool for autism diagnosis and intervention. The project explores this technology to produce robotic partners that can adapt to the needs of the ASD population. This way, such robots could serve as instructors or learning peers. A friendly, partner robot, specifically designed for children with ASD could be used to investigate the effect of …

Lava Volume From Remote Sensing Data: Comparisons With Reverse Petrological Approaches For Two Types Of Effusive Eruption, Pauline Verdurme, Simon Carn, Andrew J.L. Harris, Diego Coppola, Andrea Di Muro, Santiago Arellano, Lucia Gurioli

Michigan Tech Publications, Part 1

Five effusive eruptions of Piton de la Fournaise (La Réunion) are analyzed to investigate temporal trends of erupted mass and sulfur dioxide (SO2) emissions. Daily SO2 emissions are acquired from three ultraviolet (UV) satellite instruments (the Ozone Monitoring Instrument (OMI), the Ozone Mapping and Profiler Suite (OMPS), and the Tropospheric Monitoring Instrument (TROPOMI)) and an array of ground-based UV spectrometers (Network for Observation of Volcanic and Atmospheric Change (NOVAC)). Time-averaged lava discharge rates (TADRs) are obtained from two automatic satellite-based hot spot detection systems: MIROVA and MODVOLC. Assuming that the lava volumes measured in the field are accurate, the MIROVA …

Spatters And Spills: Spreading Dynamics For Partially Wetting Droplets, Sylvia C. L. Durian, Sam Dillavou, Kwame Markin, Adrian Portales, Bryan O. Torres Maldonado, William T. M. Irvine, Paulo E. Arratia, Douglas J. Durian

Mechanical Engineering Faculty Publications

We present a solvable model inspired by dimensional analysis for the time-dependent spreading of droplets that partially wet a substrate, where the spreading eventually stops and the contact angle reaches a nonzero equilibrium value. We separately consider small droplets driven by capillarity and large droplets driven by gravity. To explore both regimes, we first measure the equilibrium radius vs a comprehensive range of droplet volumes for four household fluids, and we compare the results with predictions based on minimizing the sum of gravitational and interfacial energies. The agreement is good and gives a reliable measurement of an equilibrium contact angle …

Uncertainties Induced By Processing Parameter Variation In Selective Laser Melting Of Ti6al4v Revealed By In-Situ X-Ray Imaging, Zachary A. Young, Meelap M. Coday, Qilin Guo, Minglei Qu, S. Mohammad H. Hojjatzadeh, Luis I. Escano, Kamel Fezzaa, Tao Sun, Lianyi Chen

Mechanical and Aerospace Engineering Faculty Research & Creative Works

Selective laser melting (SLM) additive manufacturing (AM) exhibits uncertainties, where variations in build quality are present despite utilizing the same optimized processing parameters. In this work, we identify the sources of uncertainty in SLM process by in-situ characterization of SLM dynamics induced by small variations in processing parameters. We show that variations in the laser beam size, laser power, laser scan speed, and powder layer thickness result in significant variations in the depression zone, melt pool, and spatter behavior. On average, a small deviation of only ~5% from the optimized/reference laser processing parameter resulted in a ~10% or greater change …

Fabrication And Characterization Of A Ph-Sensitive Intelligent Film Incorporating Dragon Fruit Skin Extract, Nurnabila Afiqah Azlim, Abdorreza Mohammadi Nafchi, Nazila Oladzadabbasabadi, Fazilah Ariffin, Pantea Ghalambor, Shima Jafarzadeh, A. A. Al-Hassan

Research outputs 2022 to 2026

A novel intelligent pH-sensing indicator based on gelatin film and anthocyanin extracted from dragon fruit skin (Hylocereus polyrhizus) (DFSE) as a natural dye was developed to monitor food freshness by the casting method. Anthocyanin content of DFSE was 15.66 ± 1.59 mg/L. Dragon fruit bovine gelatin films were characterized by Fourier transform infrared spectroscopy (FTIR) and observed by a scanning electron microscope (SEM). Moisture content, mechanical properties, water solubility, water vapor permeability (WVP), light transmittance, color, and pH-sensing evaluations were evaluated for potential application. FTIR spectroscopy revealed that the extracted anthocyanin could interact with the other film components through hydrogen …

C2c Stem Collaboration, Mary Andrea Parish, Angela Renee Rowe, Annette Hines, Hannah Elizabeth Brewer

Posters-at-the-Capitol

Campus to Classroom is a STEM collaboration effort brought about by the brainstorming and continued efforts of Ms. Angela Rowe (MSUTeach), Ms. Annette Hines (Talent Search), MSUTeach STEM Ambassadors, and MSUExplore (MSUTeach student group).

The goal is an educational, collaborative partnership with cross-campus departments and both pre-service and in-service teachers, with a main focus on students from underserved population and communities.

Continued steps will be planned to develop a multi-level partnership with the end goals of increased usage of project-based instruction, incorporate research that increases STEM knowledge/skill, and encourage career exploration while building bridges from “campus and classroom”.

A Simulation Model To Determine The Supply Chain Optimum Order Quality, Ahmed Mohamed Saleh

Archived Theses and Dissertations

No abstract provided.

Environmental Aspects Of Small Scale Aluminum Recycling In Egypt, Karim Salah Raslan

Archived Theses and Dissertations

No abstract provided.

Instructional Design Framework For Construction Materials Training, Hazem Jadallah, Carol J. Friedland, Isabelina Nahmens, Charles Pecquet, Charles Berryman, Yimin Zhu

Faculty Publications

The construction industry is suffering, in part, from a lack of training programs offered to the construction workforce. Unfortunately, most construction training and education research focuses on university student education. Integrating education science theory into construction workforce training has the potential to improve industry training but there is a dearth of studies that present details of this integration process. To address this gap, a training framework was developed to educate material stakeholders on material properties, selection, and installation. This framework is based on andragogical and Universal Design for Learning (UDL) principles. An assessment method evaluates training agendas to improve upon …

Transcranial Direct Current Stimulation On Parkinson’S Disease: Systematic Review And Meta-Analysis, Paloma Cristina Alves De Oliveira, Thiago Anderson Brito De Araújo, Daniel Gomes Da Silva Machado, Abner Cardoso Rodrigues, Marom Bikson, Suellen Marinho Andrade, Alexandre Hideki Okano, Hougelle Simplicio, Rodrigo Pegado, Edgard Morya

Publications and Research

Background: Clinical impact of transcranial direct current stimulation (tDCS) alone for Parkinson’s disease (PD) is still a challenge. Thus, there is a need to synthesize available results, analyze methodologically and statistically, and provide evidence to guide tDCS in PD.

Objective: Investigate isolated tDCS effect in different brain areas and number of stimulated targets on PD motor symptoms.

Methods: A systematic review was carried out up to February 2021, in databases: Cochrane Library, EMBASE, PubMed/MEDLINE, Scopus, and Web of science. Full text articles evaluating effect of active tDCS (anodic or cathodic) vs. sham or control on motor symptoms of PD were …

The Product Test Scheduling Problem, Megan Wydick Martin, Cliff Ragsdale, John Fico, Carlos G. Cajica-Sierra, Richard M. Fetcenko

International Journal of Applied Management and Technology

This research focused on product test scheduling in the presence of in-process and at-completion inspection constraints. Such testing arises in the context of the manufacture of products that must perform reliably in extreme environmental conditions. Often, these products must receive a certification from prescribed regulatory agencies at the successful completion of a predetermined series of tests. Operational efficiency is enhanced by determining the optimal order and start times of tests so as to minimize the makespan while ensuring that technicians are available when needed to complete in-process and at-completion inspections. We refer to this as the product test scheduling problem. …

Towards A New Curvature Produced By The Tangent Of A Circle Andan Ellipse: The Nada’S Curve, Laith H. M. Al-Ossmi

Iraqi Journal for Computer Science and Mathematics

A new curve is produced and graphically studied. The name of my daughter, Nada, has been givento this curve; in other words, Nada is used to describe this curve whenever it is used in this paper. “Nada’s curve”is a form of closed curve that is constructed when the circle’s diameter and the ellipse’s minor axis share the samelength, and they are tangent by a point from a drawn line passing through the circumstances of the circle and ellipse.Then, from these two intersection points, the point of intersection of the vertical and horizontal lines is selectedto determine a point of Nada’s …

On The Involutive Matrices Of The Kth Degree, Hasan Kele ̧S

Iraqi Journal for Computer Science and Mathematics

In this study, the gradation of involutive matrices, whose definitions were given before, is conducted.The solutions of the equationx2=1 in real numbers are1. Meanwhile, in the solution of the equationxk=1in real numbers, there is always the number1 that is independent of the power ofk2Z+. This feature, which isrevealed by this equation in real numbers, is the subject of the research. In particular, the kind of situation in whichthe equation would display in the matrices is determined. Initially, the second-order square matrices are studied byobtaining some of their properties. Then, new cases arising from the known addition, subtraction, multiplication,scalar multiplication, and …

Multi-Objective Optimization On Dimensional Accuracy, Edge And Surface Quality Of 3d-Printed Parts By Fused Deposition Modelling, Islam Hamdy Salem

Theses and Dissertations

Fused Deposition Modelling (FDM) is one of most common additive manufacturing (AM) techniques used in manufacturing field. It has been increasingly used because of its low cost and simplicity. Although FDM can save time through eliminating pre-processing tooling-up to produce the end-user product, still a better final product quality, like mechanical properties, dimensional accuracy and surface finish, is needed. This thesis addresses the maximization of involved printing parameters in one reliable model. Hence, a wider investigation is conducted in this research via experimental work in order to obtain a comprehensive model that involves and relates more parameters in a single …

Magnetic Nanoparticles Enhanced Surface Plasmon Resonance Biosensor For Rapid Detection Of Salmonella Typhimurium In Romaine Lettuce, Devendra Bhandari, Fur-Chi Chen, Roger C. Bridgman

Human Sciences Faculty Research

Salmonella is one of the major foodborne pathogens responsible for many cases of illnesses, hospitalizations and deaths worldwide. Although different methods are available to timely detect Salmonella in foods, surface plasmon resonance (SPR) has the benefit of real-time detection with a high sensitivity and specificity. The purpose of this study was to develop an SPR method in conjunction with magnetic nanoparticles (MNPs) for the rapid detection of Salmonella Typhimurium. The assay utilizes a pair of well-characterized, flagellin-specific monoclonal antibodies; one is immobilized on the sensor surface and the other is coupled to the MNPs. Samples of romaine lettuce contaminated with …

A Comparison Of National Water Model Retrospective Analysis Snow Outputs At Snow Telemetry Sites Across The Western United States, Irene Garousi-Nejad, David G. Tarboton

Civil and Environmental Engineering Faculty Publications

This study compares the US National Water Model (NWM) reanalysis snow outputs to observed snow water equivalent (SWE) and snow-covered area fraction (SCAF) at snow telemetry (SNOTEL) sites across the Western United States. SWE was obtained from SNOTEL sites, while SCAF was obtained from moderate resolution imaging spectroradiometer (MODIS) observations at a nominal 500 m grid scale. Retrospective NWM results were at a 1000 m grid scale. We compared results for SNOTEL sites to gridded NWM and MODIS outputs for the grid cells encompassing each SNOTEL site. Differences between modelled and observed SWE were attributed to both model errors, as …

The Use Of Microalgal Sourced Biodiesel To Help Underground Mines Transition To Battery Electric Vehicles, Corey A. Laamanen, Kyle Moreau, Sabrina M. Desjardins, Shannon H. Mclean, John A. Scott

Journal of Sustainable Mining

The use of fossil fuel sourced diesel underground has various associated health and environmental hazards, and additional energy demand and costs associated with necessary ventilation. One way to reduce these impacts is by utilizing a biodieselblend, which generates lower levels of harmful emissions from underground equipment and can be produced regionally, reducing the impact of transportation. Furthermore, this would help allow use of existing machinery during transition towards more widespread electrification underground. Therefore, the concept of an integrated supply and use chain within the mining industry is examined based on biodiesel from acidophilic photosynthetic microalgae cultivated using CO 2 in …

Investigating The Effectiveness Of A Ground Support System Implemented On Block A: A Case Study Of Southern Africa Metalliferous Mine, Kamogelo Manyelo, Peter Kolapo

Journal of Sustainable Mining

This study aims to investigate the effectiveness of the ground support systems that are planned to be implemented on Block A, which will be excavated through the Marikana fault zone. The block of ground being prepared for mining has been physically affected by the presence of the Marikana fault and is therefore geomechanically and geotechnically weaker than the normal stoping conditions on the rest of the shaft. Joint mapping conducted in Block A raiselines indicated that there is a high concentration of shallow dipping joints which are dipping in opposite directions. Such conditions present special challenges in the planned excavations …

Application Of Entropy Method For Estimating Factor Weights In Mining-Method Selection For Development Of Novel Mining-Method Selection System, Elsa Pansilvania Andre Manjate, Mahdi Saadat, Hisatoshi Toriya, Fumiaki Inagaki, Youhei Kawamura

Journal of Sustainable Mining

Mining-method selection (MMS) is one of the most critical and complex decisionmaking processes in mine planning. Therefore, it has been a subject of several studies for many years culminating with the development of different systems. However, there is still more to be done to improve and/or create more efficient systems and deal with the complexity caused by many influencing factors. This study introduces the application of the entropy method for feature selection, i.e., select the most critical factors in MMS. The entropy method is applied to assess the relative importance of the factors influencing MMS by estimating their objective weights …

Role Of Inflammatory Niche And Adult Cardiomyocyte Coculture On Differentiation, Matrix Synthesis, And Secretome Release By Human Bone Marrow Mesenchymal Stem Cells, Jyotsna Joshi, Chandrasekhar R. Kothapalli

Chemical & Biomedical Engineering Faculty Publications

Myocardial infarction (MI) causes cardiomyocyte death, provokes innate immune response, and initiates tissue remodeling. The intrinsic healing process is insufficient to replace the lost cells, or regenerate and restore the functional features of the native myocardium. Autologous bone marrow-derived mesenchymal stem cell (BM-MSC) transplantation is being explored to offer therapeutic potential after MI. Here, we cultured human BM-MSC spheroids in three-dimensional collagenous gels for 28 days under exposure to tumor necrosis factor-alpha (+ TNFα), and coculture with adult human cardiomyocytes, or with conditioned media (CM) pooled from TNFα-stimulated adult cardiomyocytes. MSC differentiation marker (CD90, GATA4, cTnI, cTnT, Cx43, MHC, α-actin) …

Rapid Response: Cat-Scan Machine And 3d Printers Vital In Covid-19, Laura Meader

Colby Magazine

Colby’s Assistant Professor of Biology Josh Martin is using his expertise and sophisticated scientific equipment to create face shields, respirator masks, and air filter cartridges for local first responders and hospitals in need of equipment that is crucial to treating patients with COVID-19.

Principal Schema Of Optoelectronic Device For Monitoring The Concentration Hydrocarbons In Air With Exponential Scan, Yu Mamasadikov

Scientific-technical journal

The article deals with the actual problem of controlling the concentration of hydrocarbons in the air. A schematic diagram of an optoelectronic device for monitoring the concentration of hydrocarbons in air on semiconductor emitting diodes is presented. The principle of operation of the principle diagram of an optoelectronic device for monitoring the concentration of hydrocarbons in air with an exponential sweep is stated.

Solar Air Heater With Breathable Matrix Absorber Made Of Metal Wire Tangle, Yu. K. Rashidov, J. T. Orzimatov

Scientific-technical journal

In the article, a physical and mathematical thermal model of the operation of a solar air-heating collector with an air-permeable matrix absorber made of a metal wire tangle is developed, and analytical solutions of the model for boundary conditions of the first and second kind are obtained.