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Articles 721 - 750 of 2631
Full-Text Articles in Engineering
Me-Em Enewsbrief, September 2022, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University
Me-Em Enewsbrief, September 2022, Department Of Mechanical Engineering-Engineering Mechanics, Michigan Technological University
Department of Mechanical and Aerospace Engineering eNewsBrief
No abstract provided.
Technical And Economic Viability Of Distributed Recycling Of Low-Density Polyethylene Water Sachets Into Waste Composite Pavement Blocks, Celestin Tsala-Mbala, Koami Soulemane Hayibo, Theresa K. Meyer, Nadine Couao-Zotti, Paul Cairns, Joshua M. Pearce
Technical And Economic Viability Of Distributed Recycling Of Low-Density Polyethylene Water Sachets Into Waste Composite Pavement Blocks, Celestin Tsala-Mbala, Koami Soulemane Hayibo, Theresa K. Meyer, Nadine Couao-Zotti, Paul Cairns, Joshua M. Pearce
Michigan Tech Publications, Part 1
In many developing countries, plastic waste management is left to citizens. This usually results in landfilling or hazardous open-air burning, leading to emissions that are harmful to human health and the environment. An easy, profitable, and clean method of processing and transforming the waste into value is required. In this context, this study provides an open-source methodology to transform low-density polyethylene drinking water sachets, into pavement blocks by using a streamlined do-it-yourself approach that requires only modest capital. Two different materials, sand, and ashes are evaluated as additives in plastic composites and the mechanical strength of the resulting blocks are …
Development Of High-Performance Fiber Cement: A Case Study In The Integration Of Circular Economy In Product Design, Parinya Chakartnarodom, Sarunya Wanpen, Wichit Prakaypan, Edward A. Laitila, Nuntaporn Kongkajun
Development Of High-Performance Fiber Cement: A Case Study In The Integration Of Circular Economy In Product Design, Parinya Chakartnarodom, Sarunya Wanpen, Wichit Prakaypan, Edward A. Laitila, Nuntaporn Kongkajun
Michigan Tech Publications, Part 1
A new fiber cement (FC) is designed with the integration of circular economy (CE) concepts, in particular a product that is recyclable yet maintains performance. The FC samples were prepared from the mixtures of ordinary Portland cement (OPC), sand, and cellulose fibers, and required an inclusion compound (IC) and water. From the heat of hydration tests, the most effective IC, IC1, was prepared from lithium silicate, sodium thiocyanate, alkylbenzene sulfonate, and hydrochloric acid. The FC samples were recycled by crushing and grinding, then used as sand replacement in varying amounts to produce new FC samples. The results from the mechanical …
Accurate Predictions Of Thermoset Resin Glass Transition Temperatures From All-Atom Molecular Dynamics Simulation, Gregory Odegard, Sagar Patil, Prashik Gaikwad, Prathamesh Deshpande, Aaron Krieg, Sagar P. Shah, Aspen Reyes, Tarik Dickens, Julia A. King, Marianna Maiaru
Accurate Predictions Of Thermoset Resin Glass Transition Temperatures From All-Atom Molecular Dynamics Simulation, Gregory Odegard, Sagar Patil, Prashik Gaikwad, Prathamesh Deshpande, Aaron Krieg, Sagar P. Shah, Aspen Reyes, Tarik Dickens, Julia A. King, Marianna Maiaru
Michigan Tech Publications, Part 1
To enable the design and development of the next generation of high-performance composite materials, there is a need to establish improved computational simulation protocols for accurate and efficient prediction of physical, mechanical, and thermal properties of thermoset resins. This is especially true for the prediction of glass transition temperature (Tg), as there are many discrepancies in the literature regarding simulation protocols and the use of cooling rate correction factors for predicting values using molecular dynamics (MD) simulation. The objectives of this study are to demonstrate accurate prediction the Tg with MD without the use of cooling rate correction factors and …
Rail Sample Laboratory Evaluation Of Eddy Current Rail Inspection Sustainable System, Jiaqing Wang, Qingli Dai, Pasi T. Lautala, Hui Yao, Ruizhe Si
Rail Sample Laboratory Evaluation Of Eddy Current Rail Inspection Sustainable System, Jiaqing Wang, Qingli Dai, Pasi T. Lautala, Hui Yao, Ruizhe Si
Michigan Tech Publications, Part 1
Increasing the efficiency, frequency, and speed of rail defect detection can reduce maintenance costs and improve the sustainability of railways. The non-contact eddy current (EC) system can be operated along with a railcar for detecting rail flaws. Even if the EC can be utilized for rail defect identification and characterization, current commercial devices are not sufficient for defect classification on rails by providing highly sensitive signals for post-processing. In this study, we established an efficient and expandable eddy current rail inspection system and verified its capability for classification of different defect signals. The integrated hardware and software EC measurement system …
Out Of The Blue: Volcanic So2 Emissions During The 2021–2022 Eruptions Of Hunga Tonga—Hunga Ha’Apai (Tonga), S. A. Carn, N. A. Krotkov, B. L. Fisher, C. Li
Out Of The Blue: Volcanic So2 Emissions During The 2021–2022 Eruptions Of Hunga Tonga—Hunga Ha’Apai (Tonga), S. A. Carn, N. A. Krotkov, B. L. Fisher, C. Li
Michigan Tech Publications, Part 1
Most volcanism on Earth is submarine, but volcanic gas emissions by submarine eruptions are rarely observed and hence largely unquantified. On 15 January 2022 a submarine eruption of Hunga Tonga-Hunga Ha’apai (HTHH) volcano (Tonga) generated an explosion of historic magnitude, and was preceded by ∼1 month of Surtseyan eruptive activity and two precursory explosive eruptions. We present an analysis of ultraviolet (UV) satellite measurements of volcanic sulfur dioxide (SO2) between December 2021 and the climactic 15 January 2022 eruption, comprising an unprecedented record of Surtseyan eruptive emissions. UV measurements from the Ozone Monitoring Instrument (OMI) on NASA’s Aura satellite, the …
Pre-Eruptive Excess Volatiles And Their Relationship To Effusive And Explosive Eruption Styles In Semi-Plugged Volcanoes, Sri Budhi Utami, Juan Andùjar, Fidel Costa, Bruno Scaillet, Hanik Humaida, Simon Carn
Pre-Eruptive Excess Volatiles And Their Relationship To Effusive And Explosive Eruption Styles In Semi-Plugged Volcanoes, Sri Budhi Utami, Juan Andùjar, Fidel Costa, Bruno Scaillet, Hanik Humaida, Simon Carn
Michigan Tech Publications, Part 1
Understanding the role of various factors influencing eruption style is challenging, but it can aid in adapting different hazard mitigations and crisis responses for explosive or effusive events. Here, we focus on the role of magma storage conditions in controlling eruption styles at basaltic andesite volcanoes, and how they can be related to monitoring data. We study the cycle of explosive (1990, sub-Plinian) → effusive (2007, dome) → explosive (2014, sub-Plinian) eruptions from Kelud (Kelut) volcano, Indonesia. We conducted petrological analyses of the eruption products and phase equilibria experiments using pumice and explored a range of temperatures, pressures, oxygen fugacity, …
Microgrid Energy Management During High-Stress Operation, Thomas Price, Gordon Parker, Gail Vaucher, Robert Jane, Morris Berman
Microgrid Energy Management During High-Stress Operation, Thomas Price, Gordon Parker, Gail Vaucher, Robert Jane, Morris Berman
Michigan Tech Publications, Part 1
We consider the energy management of an isolated microgrid powered by photovoltaics (PV) and fuel-based generation with limited energy storage. The grid may need to shed load or energy when operating in stressed conditions, such as when nighttime electrical loads occur or if there is little energy storage capacity. An energy management system (EMS) can prevent load and energy shedding during stress conditions while minimizing fuel consumption. This is important when the loads are high priority and fuel is in short supply, such as in disaster relief and military applications. One example is a low-power, provisional microgrid deployed temporarily to …
Thermal Post-Processing Of 3d Printed Polypropylene Parts For Vacuum Systems, Pierce Mayville, Aliaksei L. Petsiuk, Joshua M. Pearce
Thermal Post-Processing Of 3d Printed Polypropylene Parts For Vacuum Systems, Pierce Mayville, Aliaksei L. Petsiuk, Joshua M. Pearce
Michigan Tech Publications, Part 1
Access to vacuum systems is limited because of economic costs. A rapidly growing approach to reduce the costs of scientific equipment is to combine open-source hardware methods with digital distributed manufacturing with 3D printers. Although high-end 3D printers can manufacture vacuum components, again, the cost of access to tooling is economically prohibitive. Low-cost material extrusion 3D printing with plastic overcomes the cost issue, but two problems arise when attempting to use plastic in or as part of vacuum systems: the outgassing of polymers and their sealing. To overcome these challenges, this study explores the potential of using post-processing heat treatments …
Comparison Of Rubber Asphalt With Polymer Asphalt Under Long-Term Aging Conditions In Michigan, Dongzhao Jin, Kwadwo Ampadu Boateng, Siyu Chen, Kai Xin, Zhanping You
Comparison Of Rubber Asphalt With Polymer Asphalt Under Long-Term Aging Conditions In Michigan, Dongzhao Jin, Kwadwo Ampadu Boateng, Siyu Chen, Kai Xin, Zhanping You
Michigan Tech Publications, Part 1
The objective of this study is to compare the long-term aging performance of dry-processed rubber-modified asphalt mixture with styrene–butadiene–styrene polymer-modified asphalt mixture on heavy traffic volume roads in the wet-freeze environment of Michigan. The rutting performance was evaluated using the Hamburg wheel track device. The disc-shaped compact tension test was used to assess the fracture energy. The dynamic modulus experiment was used to estimate the load and displacement relationship. The asphalt binder properties were evaluated using multiple stress creep recovery and the linear amplitude sweep test. The pavement distresses were evaluated using the pavement mechanistic–empirical design. All three types of …
Investigation Of Adhesion Performance Of Wax Based Warm Mix Asphalt With Molecular Dynamics Simulation, Chao Peng, Hanneng Yang, Zhanping You, Hongchao Ma, Fang Xu, Lingyun You, Aboelkasim Diab, Li Lu, Yudong Hu, Yafeng Liu, Jing Dai, Zhibo Li
Investigation Of Adhesion Performance Of Wax Based Warm Mix Asphalt With Molecular Dynamics Simulation, Chao Peng, Hanneng Yang, Zhanping You, Hongchao Ma, Fang Xu, Lingyun You, Aboelkasim Diab, Li Lu, Yudong Hu, Yafeng Liu, Jing Dai, Zhibo Li
Michigan Tech Publications, Part 1
Compared with traditional hot mix asphalt (HMA), wax based warm mix asphalt (WWMA) can be mixed with the aggregate at a lower temperature and achieve the desired compaction. However, the adhesion performance of WWMA on aggregate is uncertain. To evaluate the adhesion performance of asphalt and aggregate, researchers used contact angle test, pull-off test, and ultrasonic washing experiments. However, these tests cannot adequately explain the microscopic mechanism of the interface between asphalt and aggregate. Molecular dynamics (MD) can better explain the adhesion mechanism of asphalt aggregates because they can be simulated at the molecular scale. So, the purpose of this …
Do Agrivoltaics Improve Public Support For Solar? A Survey On Perceptions, Preferences, And Priorities, Alexis Pascaris, Chelsea Schelly, Mark Rouleau, Joshua Pearce
Do Agrivoltaics Improve Public Support For Solar? A Survey On Perceptions, Preferences, And Priorities, Alexis Pascaris, Chelsea Schelly, Mark Rouleau, Joshua Pearce
Michigan Tech Publications, Part 1
Agrivoltaic systems integrate agricultural production with solar photovoltaic electricity generation. Given the proven technical, economic, and environmental co-benefits provided by agrivoltaic systems, increased proliferation is anticipated, which necessitates accounting for the nuances of community resistance to solar development on farmland and identifying pathways for mitigation. Minimizing siting conflict and addressing agricultural communities’ concerns will be key in continued deployment of agrivoltaics, as localized acceptance of solar is a critical determinant of project success. This survey study assessed if public support for solar development increases when energy and agricultural production are combined in an agrivoltaic system. Results show that 81.8% of …
Thermal Degradation And Organic Chlorine Removal From Mixed Plastic Wastes, Zhuo Xu, Victor Ierulli, Ezra Bar Ziv, Armando G. Mcdonald
Thermal Degradation And Organic Chlorine Removal From Mixed Plastic Wastes, Zhuo Xu, Victor Ierulli, Ezra Bar Ziv, Armando G. Mcdonald
Michigan Tech Publications, Part 1
Plastic waste accumulation has been growing due to the increase in plastic generation and the lack of infrastructure for recycling. One of the approaches is to treat the mixed plastic waste (MPW) through thermal processes to produce feedstocks for other applications. However, the presence of polyvinyl chloride (PVC) in MPW would produce HCl during processing and has negative impacts (emission, catalyst poisoning, etc.). In addition, due to the high heterogeneity of MPW, it is difficult to generate consistent experimental data. In this study, MPW was homogenized through double compounding–extrusion and then formed into a sheet to be treated at 400 …
Waste Plastic Direct Extrusion Hangprinter, Aliaksei Petsiuk, Bharath Lavu, Rachel Dick, Joshua M. Pearce
Waste Plastic Direct Extrusion Hangprinter, Aliaksei Petsiuk, Bharath Lavu, Rachel Dick, Joshua M. Pearce
Michigan Tech Publications, Part 1
As the additive manufacturing industry grows, it is compounding the global plastic waste problem. Distributed recycling and additive manufacturing (DRAM) offers an economic solution to this challenge, but it has been relegated to either small-volume 3D printers (limiting waste recycling throughput) or expensive industrial machines (limiting accessibility and lateral scaling). To overcome these challenges, this paper provides proof-of-concept for a novel, open-source hybrid 3D printer that combines a low-cost hanging printer design with a compression-screw-based end-effector that allows for the direct extrusion of recycled plastic waste in large expandable printing volumes. Mechanical testing of the resultant prints from 100% waste …
The Missing Link Between Standing-And Traveling-Wave Resonators, Qi Zhong, Haoqi Zhao, Liang Feng, Kurt Busch, Sahin K. Özdemir, Ramy El-Ganainy
The Missing Link Between Standing-And Traveling-Wave Resonators, Qi Zhong, Haoqi Zhao, Liang Feng, Kurt Busch, Sahin K. Özdemir, Ramy El-Ganainy
Michigan Tech Publications, Part 1
Optical resonators are structures that utilize wave interference and feedback to confine light in all three dimensions. Depending on the feedback mechanism, resonators can support either standing-or traveling-wave modes. Over the years, the distinction between these two different types of modes has become so prevalent that nowadays it is one of the main characteristics for classifying optical resonators. Here, we show that an intermediate link between these two rather different groups exists. In particular, we introduce a new class of photonic resonators that supports a hybrid optical mode, i.e. at one location along the resonator the electromagnetic fields associated with …
Application Of Fuzzy Logic And Fractal Modeling Approach For Groundwater Potential Mapping In Semi-Arid Akka Basin, Southeast Morocco, Fatima Zahra Echogdali, Said Boutaleb, Rosine Basseu Kpan, Mohammed Ouchchen, Amine Bendarma, Hasna El Ayady, Kamal Abdelrahman, Mohammed S. Fnais, Kochappi Sathyan Sajinkumar, Mohamed Abioui
Application Of Fuzzy Logic And Fractal Modeling Approach For Groundwater Potential Mapping In Semi-Arid Akka Basin, Southeast Morocco, Fatima Zahra Echogdali, Said Boutaleb, Rosine Basseu Kpan, Mohammed Ouchchen, Amine Bendarma, Hasna El Ayady, Kamal Abdelrahman, Mohammed S. Fnais, Kochappi Sathyan Sajinkumar, Mohamed Abioui
Michigan Tech Publications, Part 1
Groundwater potential delineation in the Akka basin, southwest Morocco, has been determined through the combination of geospatial techniques and geological data. The geometric average and expected value are two multi-criteria approaches used to integrate a set of factors–data for which the weights of each factor are assigned using the fuzzy logic function, which transforms values of factors influencing groundwater presence in a range of [0, 1]. The efficiency factors used in this study are the lineament density, node density, drainage density, distance from rivers, distance from lineament, permeability, slope, topographic witness index, plan curvature, and profile curvature. Thereafter, the groundwater …
Thermomagnetic-Responsive Self-Folding Microgrippers For Improving Minimally Invasive Surgical Techniques And Biopsies, Caleigh R. Dunn, Bruce Lee, Rupak Rajachar
Thermomagnetic-Responsive Self-Folding Microgrippers For Improving Minimally Invasive Surgical Techniques And Biopsies, Caleigh R. Dunn, Bruce Lee, Rupak Rajachar
Michigan Tech Publications, Part 1
Traditional open surgery complications are typically due to trauma caused by accessing the procedural site rather than the procedure itself. Minimally invasive surgery allows for fewer complications as microdevices operate through small incisions or natural orifices. However, current minimally invasive tools typically have restricted maneuverability, accessibility, and positional control of microdevices. Thermomagnetic-responsive microgrippers are microscopic multi-fingered devices that respond to temperature changes due to the presence of thermal-responsive polymers. Polymeric devices, made of poly(N-isopropylacrylamide-co-acrylic acid) (pNIPAM-AAc) and polypropylene fumarate (PPF), self-fold due to swelling and contracting of the hydrogel layer. In comparison, soft metallic devices feature a pre-stressed metal bilayer …
Challenges Of Modeling Rainfall Triggered Landslides In A Data-Sparse Region: A Case Study From The Western Ghats, India, C. L. Vishnu, T. Oommen, Snehamoy Chatterjee, K. S. Sajinkumar
Challenges Of Modeling Rainfall Triggered Landslides In A Data-Sparse Region: A Case Study From The Western Ghats, India, C. L. Vishnu, T. Oommen, Snehamoy Chatterjee, K. S. Sajinkumar
Michigan Tech Publications, Part 1
Accurate rainfall estimates are required to forecast the spatio-temporal distribution of rain-triggered landslides. In this study, a comparison between rain gauge and satellite rainfall data for assessing landslide distribution in a data-sparse region, the mountainous district of Idukki, along the Western Ghats of southwestern India, is carried out. Global Precipitation Mission Integrated Multi-satellitE Retrievals for GPM-Late (GPM IMERG-L) rainfall products were compared with rain gauge measurements, and it was found that the satellite rainfall observations were underpredicting the actual rainfall. A conditional merging algorithm was applied to develop a product that combines the accuracy of rain gauges and the spatial …
Flood Hazard Index Application In Arid Catchments: Case Of The Taguenit Wadi Watershed, Lakhssas, Morocco, Mustapha Ikirri, Farid Faik, Fatima Zahra Echogdali, Isabel Margarida Horta Ribeiro Antunes, Mohamed Abioui, Kamal Abdelrahman, Mohammed S. Fnais, Abderrahmane Wanaim, Mouna Id-Belqas, Said Boutaleb, Kochappi Sathyan Sajinkumar, Adolfo Quesada-Román
Flood Hazard Index Application In Arid Catchments: Case Of The Taguenit Wadi Watershed, Lakhssas, Morocco, Mustapha Ikirri, Farid Faik, Fatima Zahra Echogdali, Isabel Margarida Horta Ribeiro Antunes, Mohamed Abioui, Kamal Abdelrahman, Mohammed S. Fnais, Abderrahmane Wanaim, Mouna Id-Belqas, Said Boutaleb, Kochappi Sathyan Sajinkumar, Adolfo Quesada-Román
Michigan Tech Publications, Part 1
During the last decade, climate change has generated extreme rainfall events triggering flash floods in short periods worldwide. The delimitation of flood zones by detailed mapping generally makes it possible to avoid human and economic losses, especially in regions at high risk of flooding. The Taguenit basin, located in southern Morocco, is a particular case. The mapping of the flood zones of this basin by the method of the Flood Hazard Index (FHI) in a GIS geographic information systems environment was based on the multi-criteria analysis, taking into consideration the seven parameters influencing these extreme phenomena, namely rainfall, slope, flow …
An Algorithm For Task Allocation And Planning For A Heterogeneous Multi-Robot System To Minimize The Last Task Completion Time, Abhishek Patil, Jungyun Bae, Myoungkuk Park
An Algorithm For Task Allocation And Planning For A Heterogeneous Multi-Robot System To Minimize The Last Task Completion Time, Abhishek Patil, Jungyun Bae, Myoungkuk Park
Michigan Tech Publications, Part 1
This paper proposes an algorithm that provides operational strategies for multiple heterogeneous mobile robot systems utilized in many real-world applications, such as deliveries, surveillance, search and rescue, monitoring, and transportation. Specifically, the authors focus on developing an algorithm that solves a min-max multiple depot heterogeneous asymmetric traveling salesperson problem (MDHATSP). The algorithm is designed based on a primal-dual technique to operate given multiple heterogeneous robots located at distinctive depots by finding a tour for each robot such that all the given targets are visited by at least one robot while minimizing the last task completion time. Building on existing work, …
Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Keratinocyte Cell Migration Due To Contact Exposure, Manas Warke, Laura De March, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao
Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Keratinocyte Cell Migration Due To Contact Exposure, Manas Warke, Laura De March, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao
Michigan Tech Research Data
The scratch wound assay was performed on Human immortalized keratinocytes (HaCaT) cells to observe the effect on cell migration due to contact exposure to arsenic-contaminated Immokalee soil. The cell migration was observed through a microscope for 72 h. HaCaT cells were seeded in 48-well plate. On day 3, treatment media was added (n=8). The cells were treated with four concentrations of soil As (45, 225, 450, and 900 mg/kg) and two controls - Negative control (NC; Pure media) and control (C; 0 mg/kg soil As) for 72 h. A scratch was made using a pipette tip. The wound healing was …
Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Dermal Fibroblasts Cell Migration Due To Contact Exposure, Manas Warke, Laura De Marchi, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao
Using Scratch Wound Assay To Study The Effect Of Soil Arsenic On Human Dermal Fibroblasts Cell Migration Due To Contact Exposure, Manas Warke, Laura De Marchi, Srinivas Kannan, Madeline English, Rohan Sarkar, Rupali Datta, Smitha Rao
Michigan Tech Research Data
The scratch wound assay was performed on Normal Human Primary Dermal Fibroblasts (HDFa) cells to observe the effect on cell migration due to contact exposure to arsenic-contaminated Immokalee soil. The cell migration was observed through a microscope for 72 h. HDFa cells were seeded in 48-well plate. On day 3, treatment media was added (n=8). The cells were treated with four concentrations of soil As (45, 225, 450, and 900 mg/kg) and two controls - Negative control (NC; Pure media) and control (C; 0 mg/kg soil As) for 72 h. A scratch was made using a pipette tip. The wound …
Anti-Skid Characteristics Of Asphalt Pavement Based On Partial Tire Aquaplane Conditions, Miao Yu, Yao Kong, Zhanping You, Jue Li, Liming Yang, Lingyun Kong
Anti-Skid Characteristics Of Asphalt Pavement Based On Partial Tire Aquaplane Conditions, Miao Yu, Yao Kong, Zhanping You, Jue Li, Liming Yang, Lingyun Kong
Michigan Tech Publications, Part 1
This study presented a finite element model of radial tire-asphalt pavement interaction using ABAQUS 6.14 software to investigate the skid resistance properties of asphalt pavement under partial tire aquaplane conditions. Firstly, the pavement profile datum acquired by laser scanning were imported to Finite Element Analysis (FEA) software to conduct the pavement modeling. Secondly, a steady state rolling analysis of a tire on three types of asphalt pavements under drying conditions was carried out. Variation laws of the friction coefficient of the radial tire on different pavements with different pavement textures, tire pressures, and loads on the tire were examined. Subsequently, …
Evaluation Of Various Data Acquisition Scenarios For The Retrieval Of Seismic Body Waves From Ambient Noise Seismic Interferometry Technique Via Numerical Modeling, Haitao Cao, Erdi Apatay, Garvie Crane, Boming Wu, Ke Gao, Roohollah Askari
Evaluation Of Various Data Acquisition Scenarios For The Retrieval Of Seismic Body Waves From Ambient Noise Seismic Interferometry Technique Via Numerical Modeling, Haitao Cao, Erdi Apatay, Garvie Crane, Boming Wu, Ke Gao, Roohollah Askari
Michigan Tech Publications, Part 1
Seismic interferometry is often proposed as a cost-efficient technique for reservoir monitoring including CO2 sequestration due to its low cost and environmental advantages over active source imaging. Although many studies have demonstrated the ability of seismic interferometry to retrieve surface waves, body wave imaging remains challenging due to their generally lower amplitudes of body waves in seismic interferometry data. An optimum data acquisition strategy can help retrieve low amplitude body waves better, however, rare attempts have been made to evaluate various data acquisition strategies. In this study, we use numerical modeling to examine three different acquisition schemes to evaluate the …
Novel Mlr-Rf-Based Geospatial Techniques: A Comparison With Ok, Waqas Ahmad, Khan Muhammad, Hylke Jan Glass, Snehamoy Chatterjee, Asif Khan, Abid Hussain
Novel Mlr-Rf-Based Geospatial Techniques: A Comparison With Ok, Waqas Ahmad, Khan Muhammad, Hylke Jan Glass, Snehamoy Chatterjee, Asif Khan, Abid Hussain
Michigan Tech Publications, Part 1
Geostatistical estimation methods rely on experimental variograms that are mostly erratic, leading to subjective model fitting and assuming normal distribution during conditional simula-tions. In contrast, Machine Learning Algorithms (MLA) are (1) free of such limitations, (2) can in-corporate information from multiple sources and therefore emerge with increasing interest in real-time resource estimation and automation. However, MLAs need to be explored for robust learning of phenomena, better accuracy, and computational efficiency. This paper compares MLAs, i.e., Multiple Linear Regression (MLR) and Random Forest (RF), with Ordinary Kriging (OK). The techniques were applied to the publicly available Walkerlake dataset, while the exhaustive …
Classifying Mixing Regimes In Ponds And Shallow Lakes, Meredith A. Holgerson, David C. Richardson, Joseph Roith, Lauren E. Bortolotti, Kerri Finlay, Daniel J. Hornbach, Kshitij Gurung, Andrew Ness, Mikkel R. Andersen, Sheel Bansal, Jacques C. Finlay, Jacob A. Cianci-Gaskill, Shannon Hahn, Benjamin D. Janke, Cory Mcdonald, Jorrit P. Mesman, Rebecca L. North, Cassandra O. Roberts, Jon N. Sweetman, Jackie R. Webb
Classifying Mixing Regimes In Ponds And Shallow Lakes, Meredith A. Holgerson, David C. Richardson, Joseph Roith, Lauren E. Bortolotti, Kerri Finlay, Daniel J. Hornbach, Kshitij Gurung, Andrew Ness, Mikkel R. Andersen, Sheel Bansal, Jacques C. Finlay, Jacob A. Cianci-Gaskill, Shannon Hahn, Benjamin D. Janke, Cory Mcdonald, Jorrit P. Mesman, Rebecca L. North, Cassandra O. Roberts, Jon N. Sweetman, Jackie R. Webb
Michigan Tech Publications, Part 1
Lakes are classified by thermal mixing regimes, with shallow waterbodies historically categorized as continuously mixing systems. Yet, recent studies demonstrate extended summertime stratification in ponds, underscoring the need to reassess thermal classifications for shallow waterbodies. In this study, we examined the summertime thermal dynamics of 34 ponds and shallow lakes across temperate North America and Europe to categorize and identify the drivers of different mixing regimes. We identified three mixing regimes: rarely (n = 18), intermittently (n = 10), and often (n = 6) mixed, where waterbodies mixed an average of 2%, 26%, and 75% of the study period, respectively. …
Through-Ice Acoustic Source Tracking Using Vision Transformers With Ordinal Classification, Steven Whitaker, Andrew Barnard, George D. Anderson, Timothy C. Havens
Through-Ice Acoustic Source Tracking Using Vision Transformers With Ordinal Classification, Steven Whitaker, Andrew Barnard, George D. Anderson, Timothy C. Havens
Michigan Tech Publications, Part 1
Ice environments pose challenges for conventional underwater acoustic localization techniques due to theirmultipath and non-linear nature. In this paper, we compare different deep learning networks, such as Transformers, Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Vision Transformers (ViTs), for passive localization and tracking of single moving, on-ice acoustic sources using two underwater acoustic vector sensors. We incorporate ordinal classification as a localization approach and compare the results with other standard methods. We conduct experiments passively recording the acoustic signature of an anthropogenic source on the ice and analyze these data. The results demonstrate that Vision Transformers are …
Mobile-Polypnet: Lightweight Colon Polyp Segmentation Network For Low-Resource Settings, Ranit Karmakar, Saeid Nooshabadi
Mobile-Polypnet: Lightweight Colon Polyp Segmentation Network For Low-Resource Settings, Ranit Karmakar, Saeid Nooshabadi
Michigan Tech Publications, Part 1
Colon polyps, small clump of cells on the lining of the colon, can lead to colorectal cancer (CRC), one of the leading types of cancer globally. Hence, early detection of these polyps automatically is crucial in the prevention of CRC. The deep learning models proposed for the detection and segmentation of colorectal polyps are resource-consuming. This paper proposes a lightweight deep learning model for colorectal polyp segmentation that achieved state-of-the-art accuracy while significantly reducing the model size and complexity. The proposed deep learning autoencoder model employs a set of state-of-the-art architectural blocks and optimization objective functions to achieve the desired …
Probabilistic Multi-Objective Inverse Analysis For Damage Identification Using Piezoelectric Impedance Measurement Under Uncertainties, Kai Zhou, Yang Zhang, Qi Shuai, Jiong Tang
Probabilistic Multi-Objective Inverse Analysis For Damage Identification Using Piezoelectric Impedance Measurement Under Uncertainties, Kai Zhou, Yang Zhang, Qi Shuai, Jiong Tang
Michigan Tech Publications, Part 1
Piezoelectric impedance sensing is promising for highly accurate damage identification because of its high-frequency active interrogative nature and simplicity in data acquisition. To fully unleash the potential, effective inverse analysis is needed in order to pinpoint the damage location and identify the severity. The inverse analysis, however, may be underdetermined since there exists a very large number of unknowns (i.e., locations and severity levels) to be solved in a finite element model but only limited measurements are available in actual practice. To uncover the true damage scenario, an inverse analysis strategy built upon the multi-objective optimization, which aims at matching …
Kernel Matrix-Based Heuristic Multiple Kernel Learning, Stanton R. Price, Derek T. Anderson, Timothy C. Havens, Steven R. Price
Kernel Matrix-Based Heuristic Multiple Kernel Learning, Stanton R. Price, Derek T. Anderson, Timothy C. Havens, Steven R. Price
Michigan Tech Publications, Part 1
Kernel theory is a demonstrated tool that has made its way into nearly all areas of machine learning. However, a serious limitation of kernel methods is knowing which kernel is needed in practice. Multiple kernel learning (MKL) is an attempt to learn a new tailored kernel through the aggregation of a set of valid known kernels. There are generally three approaches to MKL: fixed rules, heuristics, and optimization. Optimization is the most popular; however, a shortcoming of most optimization approaches is that they are tightly coupled with the underlying objective function and overfitting occurs. Herein, we take a different approach …