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Articles 43231 - 43260 of 294607

Full-Text Articles in Physical Sciences and Mathematics

A Machine Learning Approach To Evaluate The Effect Of Sodium-Glucose Cotransporter-2 Inhibitors On Chronic Kidney Disease In Diabetes Patients, Solomon Eshun May 2023

A Machine Learning Approach To Evaluate The Effect Of Sodium-Glucose Cotransporter-2 Inhibitors On Chronic Kidney Disease In Diabetes Patients, Solomon Eshun

Theses and Dissertations

Chronic kidney disease (CKD) is a significant complication that contributes to diabetes-related mortality in the United States, and there is growing evidence that sodium-glucose cotransporter 2 inhibitors (SGLT2i) can slow its progression. However, observational studies may suffer from confounding by indication, where patient characteristics and disease severity influence the decision to prescribe SGLT2i. This study utilized electronic health records of individuals with diabetes (from TriNetX) to investigate the effectiveness of SGLT2i on CKD progression. The database provided detailed information on patients’ CKD status, demographics, diagnosis, procedures, and medications, along with corresponding dates of diagnosis and prescription. The study comprised of …

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Effects Of Missing Data Imputation Methods On Univariate Time Series Forecasting With Arima And Lstm, Nicholas Niako May 2023

Effects Of Missing Data Imputation Methods On Univariate Time Series Forecasting With Arima And Lstm, Nicholas Niako

Theses and Dissertations

Missing data are common in real-life studies and missing observations within the univariate time series cause analytical problems in the flow of the analysis. Imputation of missing values is an inevitable step in the analysis of every incomplete univariate time series data. The reviewed literature has shown that the focus of existing studies is on comparing the distribution of imputed data. There is a gap of knowledge on how different imputation methods for univariate time series data affect the fit and prediction performance of time series models. In this work, we evaluated the predictive performance of autoregressive integrated moving average …

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Problems In Algorithmic Self-Assembly And A Genetic Approach To Patterns, Andrew Rodriguez May 2023

Problems In Algorithmic Self-Assembly And A Genetic Approach To Patterns, Andrew Rodriguez

Theses and Dissertations

As it becomes increasingly harder to make transistors smaller, replacements for traditional silicon computers become sought after. To study the computing power of these potential computers, various theoretical models have been proposed, such as the abstract Tile Assembly Model (aTAM) and chemical reaction networks (CRNs). This thesis compiles research in various models such as the aTAM, Tile Automata, and CRNs. This work shows an investigation of covert computation in the aTAM and an evolutionary algorithm to approximate solutions to the pattern self-assembly tile set synthesis (PATS) problem. Next, optimal state complexity for building squares in Tile Automata is shown along …

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Green Synthesis Of Glutethimide Intermediate Via Nash Reaction, Zahria Patrick Apr 2023

Green Synthesis Of Glutethimide Intermediate Via Nash Reaction, Zahria Patrick

Undergraduate Research Symposium

The purpose of my research project is to utilize green chemistry principles to synthesize an intermediate for Glutethimide, a drug used to treat patients with insomnia. Many pharmaceutical processes require the use of halide-containing chemicals which are harmful to the environment when discarded as waste. Not only does this waste affect the quality of drinking water and aquatic life, but it affects the economy as well. The cost of waste disposal increases with the increasing difficulty of treating it and thus raises the cost of production for pharmaceutical companies.
The reaction of choice is a nucleophilic aromatic substitution of hydrogen, …

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Simulating Mass Extinctions In An Agent-Based Evolutionary Model, Emily Vastola, Will Hayes, Joe Milliano, Tyler Hanke, Ian Heye, Dawn M. King, Sonya Bahar Apr 2023

Simulating Mass Extinctions In An Agent-Based Evolutionary Model, Emily Vastola, Will Hayes, Joe Milliano, Tyler Hanke, Ian Heye, Dawn M. King, Sonya Bahar

Undergraduate Research Symposium

In an agent-based model of evolutionary dynamics which has been shown to undergo a nonequilibrium phase transition from extinction to survival, we apply coalescent theory to investigate the responses of population lineages to simulated mass extinctions. In the model, organisms reproduce via assortative mating on a neutral fitness landscape; parameters including the mutability (distance offspring may be distributed away from their parents in the fitness landscape) and the death parameter (percentage of organisms randomly removed during each generation) control the phase transition. Lineage structure can be characterized using the time to most recent common ancestor (TMRCA). We examine how this …

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Upcoming Solar Eclipses Worth A Trip, Erik Johnson Apr 2023

Upcoming Solar Eclipses Worth A Trip, Erik Johnson

Natural Science Faculty

Two types of solar eclipses will be visible in the United States over the next 12 months. These rare events won't take place again in the contiguous 48 states for the next twenty years and they are both worth making a trip to see.

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Sustainable Grain Transportation In Ukraine Amidst War Utilizing Knarm And Knowwheregraph, Yinglun Zhang, Antonina Broyaka, Jude Kastens, Allen M. Featherstone, Cogan Shimizu, Pascal Hitzler, Hande Küçük Mcginty Apr 2023

Sustainable Grain Transportation In Ukraine Amidst War Utilizing Knarm And Knowwheregraph, Yinglun Zhang, Antonina Broyaka, Jude Kastens, Allen M. Featherstone, Cogan Shimizu, Pascal Hitzler, Hande Küçük Mcginty

Computer Science and Engineering Faculty Publications

In this work, we propose a sustainable path-finding application for grain transportation during the ongoing Russian military invasion in Ukraine. This application is to build a suite of algorithms to find possible optimal paths for transporting grain that remains in Ukraine. The application uses the KNowledge Acquisition and Representation Methodology(KNARM) and the KnowWhereGraph to achieve this goal. Currently, we are working towards creating an ontology that will allow for a more effective heuristic approach by incorporating the lessons learned from the KnowWhereGraph. The aim is to enhance the path-finding process and provide more accurate and efficient results. In the future, …

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Hydrodynamic Characteristics And Sediment Distribution Patterns In Wulan Delta Estuary, Demak, Indonesia, Max Rudolf Muskananfola, Sigit Febrianto, Diah Ayuningrum Apr 2023

Hydrodynamic Characteristics And Sediment Distribution Patterns In Wulan Delta Estuary, Demak, Indonesia, Max Rudolf Muskananfola, Sigit Febrianto, Diah Ayuningrum

Makara Journal of Technology

The Wulan Delta, located in Wedung, Demak, was formed due to the sedimentation process of the Wulan and Serang rivers. Sediment transport starts from rivers to the sea; the process carries nutrients and various chemicals derived from agricultural, industrial, or household activities. This study aims to analyze the characteristics of hydrodynamics, suspended sediment, and bottom sediments in the Wulan Delta waters, Demak. Field data were collected in transitional season two (October) 2022. The obtained data were then analyzed in the laboratory at the Faculty of Fisheries and Marine Science. Results showed that the speed of the surface current in the …

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Uniform Distributions On Curves And Quantization, Joseph Rosenblatt, Mrinal Kanti Roychowdhury Apr 2023

Uniform Distributions On Curves And Quantization, Joseph Rosenblatt, Mrinal Kanti Roychowdhury

School of Mathematical & Statistical Sciences Faculty Publications

The basic goal of quantization for probability distribution is to reduce the number of values, which is typically uncountable, describing a probability distribution to some finite set and thus to make an approximation of a continuous probability distribution by a discrete distribution. It has broad application in signal processing and data compression. In this paper, first we define the uniform distributions on different curves such as a line segment, a circle, and the boundary of an equilateral triangle. Then, we give the exact formulas to determine the optimal sets of n -means and the n th quantization errors for different …

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Mathematical Modeling Of Egain Droplets Sliding Down An Inclined Plane, Shawn Koohy, Kathryn Massey, Luis Schneegans, Megan Vezzetti, Keith Hillaire, Souradip Chattopadhyay, Jessie Chen, Carmen Lee, Karen Daniels Apr 2023

Mathematical Modeling Of Egain Droplets Sliding Down An Inclined Plane, Shawn Koohy, Kathryn Massey, Luis Schneegans, Megan Vezzetti, Keith Hillaire, Souradip Chattopadhyay, Jessie Chen, Carmen Lee, Karen Daniels

Undergraduate Research Symposium

Eutectic Gallium-Indium (EGaIn) is a room-temperature liquid metal alloy that dramatically changes its surface tension and dynamics under an applied electric field. EGaIn has been used heavily in soft electronics engineering due to its high conductivity, malleability, and safety. However, the absence of mathematical modeling in the current literature makes its behavior difficult to understand and predict. In this study, we present a one-dimensional lubrication model for the dynamics of an EGaIn droplet moving along an inclined plane. Our model incorporates essential physical effects and parameters including oxidation, capillary action, diffusion, gravity, and Marangoni effects. In particular, we incorporate effects …

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Test Of Scientific Literacy Skills (Tosls) Indicates Limited Scientific Thinking Gains As A Result Of Science And Mathematics General Education, Pamela M. Propsom, William M. Tobin, Jacqueline R. Roberts Apr 2023

Test Of Scientific Literacy Skills (Tosls) Indicates Limited Scientific Thinking Gains As A Result Of Science And Mathematics General Education, Pamela M. Propsom, William M. Tobin, Jacqueline R. Roberts

Interdisciplinary Faculty Scholarship

A number of instruments designed to measure scientific literacy exist, but none has been used to assess improvements in undergraduates’ scientific thinking over their college career. This study utilized the Test of Scientific Literacy Skills (TOSLS) in a longitudinal fashion to measure scientific thinking gains of over 800 students from matriculation to graduation at a small liberal arts college. We found the TOSLS to be a useful assessment instrument. Our results indicated rather small benefits of science general education overall, though there were larger improvements for some demographic groups (i.e., women, first-generation college students). STEM majors showed much greater development …

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Propuesta De Un Modelo De Enseñanza En Las Matemáticas Enfocado En La Solución De Problemas En El Nivel Secundario En Puerto Rico, Carlos J. Colon Rivera Apr 2023

Propuesta De Un Modelo De Enseñanza En Las Matemáticas Enfocado En La Solución De Problemas En El Nivel Secundario En Puerto Rico, Carlos J. Colon Rivera

Theses and Dissertations

El propósito del estudio fue proponer un modelo educativo enfocado en la solución de problemas matemáticos en el nivel secundario, y se realizó la revisión sistemática para evaluarlo. El marco teórico incluyó teorías heurísticas y modelos educativos. La metodología de seis fases que se empleó en este estudio, incluyendo la formulación de preguntas investigativas, búsqueda de literatura, selección de investigaciones, levantamiento de información, análisis y resumen de resultados y exposición y discusión de estos. Se siguieron guías para revisiones sistemáticas y criterios de inclusión y exclusión para evaluar la efectividad de modelos didácticos en la disciplina de matemáticas con énfasis …

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Shop Less, Shop Better: Ethical And Sustainability Concerns Throughout The Fast Fashion Supply Chain, Natali Ann Hoeg Apr 2023

Shop Less, Shop Better: Ethical And Sustainability Concerns Throughout The Fast Fashion Supply Chain, Natali Ann Hoeg

Pacific Undergraduate Research and Creativity Conference (PURCC)

My capstone project is a series of short essays that describe how fast fashion is having negative impacts on local environments, communities, and supply chains. This research is a review of technical sources describing manufacturing of clothing and certification processes for alternative, sustainable textile production. Additionally, this review incorporates perspectives from journalists and documentarians, visiting and describing farms and factories that are involved with fast fashion production. This project was carried out over the course of a semester, as an independent study. The essays focus on the environmental and social impacts of fast fashion. Each of the six essays approaches …

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Neutrosophic Mcdm Methodology For Evaluation Onshore Wind For Electricity Generation And Sustainability Ecological, Karam M. Sallam, Ali Wagdy Mohamed Apr 2023

Neutrosophic Mcdm Methodology For Evaluation Onshore Wind For Electricity Generation And Sustainability Ecological, Karam M. Sallam, Ali Wagdy Mohamed

Neutrosophic Systems with Applications

The conviction in the necessity of renewable energy has been prompted by both the constantly increasing need for power production and the ecological issues of recent years. When it comes to generating power in a sustainable manner, wind is among the most essential renewable energy sources. This research attempts to present a structural technique for assessing the performance of operational onshore wind facilities with respect to the three dimensions of sustainability. The energy production, environmental effect, and practicability of onshore wind facilities are all dependent on accurate assessments. Wind resources, site accessibility, environmental impact, permitting and regulatory requirements, turbine technology, …

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Inaugural Artificial Intelligence For Public Health Practice (Ai4php) Retreat: Ontario, Canada, Jacqueline K. Kueper, Laura C. Rosella, Richard G. Booth, Brent D. Davis, Sarah Nayani, Maxwell J. Smith, Dan Lizotte Apr 2023

Inaugural Artificial Intelligence For Public Health Practice (Ai4php) Retreat: Ontario, Canada, Jacqueline K. Kueper, Laura C. Rosella, Richard G. Booth, Brent D. Davis, Sarah Nayani, Maxwell J. Smith, Dan Lizotte

Computer Science Publications

The Artificial Intelligence (AI) for Public Health Practice Retreat was a hybrid event held in October 2022 in London, Ontario to achieve three main goals: 1) Identify both the goals of public health practitioners and the tasks that they undertake as part of their practice to achieve those goals that could be supported by AI, 2) Learn from existing examples and the experience of others about facilitators and barriers to AI for public health, and 3) Support new and strengthen existing connections between public health practitioners and AI researchers. The retreat included a keynote presentation, group brainstorming exercises, breakout group …

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Going All-In With Vector Representations Of Electric And Magnetic Fields In Introductory Calculus-Based Physics, Craig Looney Apr 2023

Going All-In With Vector Representations Of Electric And Magnetic Fields In Introductory Calculus-Based Physics, Craig Looney

Physics Faculty Publications

While most introductory calculus-based textbooks introduce a fully-vectorized expression for the electric field due to a point charge, they rarely – if ever – introduce a fully-vectorized expression for the magnetic field due to an infinitely long current, and corresponding field superposition problems are normally solved by the method of components (find magnitudes, break magnitudes into components, sum the respective components). In this poster I will explain why I teach a fully-vectorized approach – starting with the fully-vectorized field expressions and summing the fields vector-algebraically – alongside the more traditional method of components in my introductory calculus-based physics course, and …

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The Sharp Bounds Of A Quasi-Isometry Of P-Adic Numbers In A Subset Real Plane, Kathleen Zopff Apr 2023

The Sharp Bounds Of A Quasi-Isometry Of P-Adic Numbers In A Subset Real Plane, Kathleen Zopff

Undergraduate Theses

P-adic numbers are numbers valued by their divisibility by high powers of some prime, p. These numbers are an important concept in number theory that are used in major ideas such as the Reimann Hypothesis and Andrew Wiles’ proof of Fermat’s last theorem, and also have applications in cryptography. In this project, we will explore various visualizations of p-adic numbers. In particular, we will look at a mapping of p-adic numbers into the real plane which constructs a fractal similar to a Sierpinski p-gon. We discuss the properties of this map and give formulas for the sharp bounds of its …

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Neutrosophic Mcdm Methodology For Evaluation Onshore Wind For Electricity Generation And Sustainability Ecological, Karam M. Sallam, Ali Wagdy Mohamed Apr 2023

Neutrosophic Mcdm Methodology For Evaluation Onshore Wind For Electricity Generation And Sustainability Ecological, Karam M. Sallam, Ali Wagdy Mohamed

Neutrosophic Systems with Applications

The conviction in the necessity of renewable energy has been prompted by both the constantly increasing need for power production and the ecological issues of recent years. When it comes to generating power in a sustainable manner, wind is among the most essential renewable energy sources. This research attempts to present a structural technique for assessing the performance of operational onshore wind facilities with respect to the three dimensions of sustainability. The energy production, environmental effect, and practicability of onshore wind facilities are all dependent on accurate assessments. Wind resources, site accessibility, environmental impact, permitting and regulatory requirements, turbine technology, …

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Multiple Solutions Of P-Fractional Schrödinger-Choquard-Kirchhoff Equations With Hardy-Littlewood-Sobolev Critical Exponents, Xiaolu Lin, Shenzhou Zheng, Zhaosheng Feng Apr 2023

Multiple Solutions Of P-Fractional Schrödinger-Choquard-Kirchhoff Equations With Hardy-Littlewood-Sobolev Critical Exponents, Xiaolu Lin, Shenzhou Zheng, Zhaosheng Feng

School of Mathematical & Statistical Sciences Faculty Publications

In this article, we are concerned with multiple solutions of Schrödinger-Choquard-Kirchhoff equations involving the fractional p -Laplacian and Hardy-Littlewood-Sobolev critical exponents in R N . We classify the multiplicity of the solutions in accordance with the Kirchhoff term M ( ⋅ ) and different ranges of q shown in the nonlinearity f ( x , ⋅ ) by means of the variational methods and Krasnoselskii’s genus theory. As an immediate consequence, some recent related results have been improved and extended.

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Toward A Neural Semantic Parsing System For Ehr Question Answering, Sarvesh Soni, Kirk Roberts Apr 2023

Toward A Neural Semantic Parsing System For Ehr Question Answering, Sarvesh Soni, Kirk Roberts

Faculty, Staff and Student Publications

Clinical semantic parsing (SP) is an important step toward identifying the exact information need (as a machine-understandable logical form) from a natural language query aimed at retrieving information from electronic health records (EHRs). Current approaches to clinical SP are largely based on traditional machine learning and require hand-building a lexicon. The recent advancements in neural SP show a promise for building a robust and flexible semantic parser without much human effort. Thus, in this paper, we aim to systematically assess the performance of two such neural SP models for EHR question answering (QA). We found that the performance of these …

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A Simulation Of Nuclear Pasta Using The Lattice Boltzmann Computational Method, Alexander Westbrooks Apr 2023

A Simulation Of Nuclear Pasta Using The Lattice Boltzmann Computational Method, Alexander Westbrooks

Honors Theses

No abstract provided.

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Cloud Microphysical Response To Entrainment And Mixing Is Locally Inhomogeneous And Globally Homogeneous: Evidence From The Lab, Jaemin Yeom, Ian Helman, Prasanth Prabhakaran, Jesse Anderson, Fan Yang, Raymond Shaw, Will Cantrell Apr 2023

Cloud Microphysical Response To Entrainment And Mixing Is Locally Inhomogeneous And Globally Homogeneous: Evidence From The Lab, Jaemin Yeom, Ian Helman, Prasanth Prabhakaran, Jesse Anderson, Fan Yang, Raymond Shaw, Will Cantrell

Michigan Tech Research Data

The effects of entrainment-mixing on the cloud droplet size distribution are examined in the Pi cloud chamber that creates a turbulent supersaturated environment for cloud formation. The experiments are conducted with a temperature-controlled flange to mimic the entrainment-mixing process. The entrainment zone is created at the center of the top surface of the chamber, allowing dry air of controlled temperature (Te) and flow rate (Qe) to flow into the mixing cloud region. Due to the large-scale circulation, the downwind region is directly affected by entrained dry air from the flange, whereas the upwind region is representative …

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Theory Of Invariant Manifold And Foliation And Uniqueness Of Center Manifold Dynamics, Bo Deng Apr 2023

Theory Of Invariant Manifold And Foliation And Uniqueness Of Center Manifold Dynamics, Bo Deng

Department of Mathematics: Faculty Publications

Here we prove that the dynamics on any two center-manifolds of a fixed point of any Ck,1 dynamical system of finite dimension with k ≥ 1 are Ck-conjugate to each other. For pedagogical purpose, we also extend Perron’s method for differential equations to diffeomorphisms to construct the theory of invariant manifolds and invariant foliations at fixed points of dynamical systems of finite dimensions.

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Numerical Simulation On Development Effect Of Tar-Rich Coal Through In-Situ Conversion By Convective Heating In Huangling Mining Area, Dong Guangshun, Zhu Chaofan, Li Jiazong, Xu Shaotao, Guo Wei Apr 2023

Numerical Simulation On Development Effect Of Tar-Rich Coal Through In-Situ Conversion By Convective Heating In Huangling Mining Area, Dong Guangshun, Zhu Chaofan, Li Jiazong, Xu Shaotao, Guo Wei

Coal Geology & Exploration

The effective development of tar-rich coal to extract oil is of great practical significance to alleviate the oil and gas tension in China, and the convective heating technology of underground in-situ mining is one of the main technologies for the effective development of tar-rich coal. Herein, the mining effect and energy return rate of the two heating media (high-temperature steam and nitrogen) under different injection pressures were studied by convective heating technology for underground in-situ conversion mining based on the tar-rich coal seam of Yan'an Formation in Huangling Mining Area. The results show that: the heating efficiency of steam injection …

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Mother Earth, Lance Daley Apr 2023

Mother Earth, Lance Daley

D.U.Quark

No abstract provided.

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Quantification Of Various Types Of Biases In Large Language Models, Sudhashree Sayenju Apr 2023

Quantification Of Various Types Of Biases In Large Language Models, Sudhashree Sayenju

Doctor of Data Science and Analytics Dissertations

Natural Language Processing (NLP) systems are included everywhere on the internet from search engines, language translations to more advanced systems like voice assistant and customer service. Since humans are always on the receiving end of NLP technologies, it is very important to analyze whether or not the Large Language Models (LLMs) in use have bias and are therefore unfair. The majority of the research in NLP bias has focused on societal stereotype biases embedded in LLMs. However, our research focuses on all types of biases, namely model class level bias, stereotype bias and domain bias present in LLMs. Model class …

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Mechanical Property Evaluation Of Coal Bed And Favorable Area Prediction Of Coalbed Methane (Cbm) Development Based On Well Logging: A Case Study Of No. 3 Coal Bed In Zhengzhuang Block, Southern Qinshui Basin, Qiu Feng, Liu Jinhua, Cai Yidong, Liu Dameng, Sun Fengrui Apr 2023

Mechanical Property Evaluation Of Coal Bed And Favorable Area Prediction Of Coalbed Methane (Cbm) Development Based On Well Logging: A Case Study Of No. 3 Coal Bed In Zhengzhuang Block, Southern Qinshui Basin, Qiu Feng, Liu Jinhua, Cai Yidong, Liu Dameng, Sun Fengrui

Coal Geology & Exploration

Accurately grasping the mechanical properties of coal is of great significance to reservoir reconstruction and CBM development. Herein, the prediction model of shear wave time difference in coal reservoir based on multiple logging parameters and the brittleness index evaluation model based on dynamic and static mechanical parameter conversion were established for the research horizon of No.3 coal bed in Zhengzhuang Block. The brittleness index of coal reservoir in the study area was comprehensively evaluated by elastic parameter method. By this way, it is found that the brittleness index of coal bed in single well is obviously affected by “boundary effect” …

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Volcano Opto-Acoustics: Mapping The Infrasound Wavefield At Yasur Volcano (Vanuatu), J. B. Johnson, T. Boyer, L. M. Watson, J. F. Anderson Apr 2023

Volcano Opto-Acoustics: Mapping The Infrasound Wavefield At Yasur Volcano (Vanuatu), J. B. Johnson, T. Boyer, L. M. Watson, J. F. Anderson

Geosciences Faculty Publications and Presentations

We explore the capabilities of volcano opto-acoustics, a promising technique for measuring explosion and infrasound resonance phenomena at open-vent volcanoes. Joint visual and infrasound study at Yasur Volcano (Vanuatu) demonstrate that even consumer-grade cameras are capable of recording infrasound with high fidelity. Passage of infrasonic waves, ranging from as low as 5 Pa to hundreds of Pa, from both explosions and persistent tremor, pressurizes and depressurizes ambient plumes inducing visible vaporization and condensation respectively. Optical tracking of these pressure wavefields can be used to identify spectral characteristics, which vary within Yasur's two deep craters and are distinct for explosion and …

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Application Of Deep Learning For Classification Of Intertidal Eelgrass From Drone-Acquired Imagery, Krti Tallam, Nam Nguyen, Jonathan Ventura, Andrew G. Fricker, Sadie Calhoun, Jennifer O’Leary, Mauriça Fitzgibbons, Ian C. Robbins, Ryan K. Walter Apr 2023

Application Of Deep Learning For Classification Of Intertidal Eelgrass From Drone-Acquired Imagery, Krti Tallam, Nam Nguyen, Jonathan Ventura, Andrew G. Fricker, Sadie Calhoun, Jennifer O’Leary, Mauriça Fitzgibbons, Ian C. Robbins, Ryan K. Walter

Physics

Shallow estuarine habitats are globally undergoing rapid changes due to climate change and anthropogenic influences, resulting in spatiotemporal shifts in distribution and habitat extent. Yet, scientists and managers do not always have rapidly available data to track habitat changes in real-time. In this study, we apply a novel and a state-of-the-art image segmentation machine learning technique (DeepLab) to two years of high-resolution drone-based imagery of a marine flowering plant species (eelgrass, a temperate seagrass). We apply the model to eelgrass (Zostera marina) meadows in the Morro Bay estuary, California, an estuary that has undergone large eelgrass declines and the subsequent …

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Threshold Segmentation Method Of Ct Scanning Data Of Coal And Rock Samples Considering Beam Hardening Effect And Its Application, Wang Kai, Fu Qiang, Xu Chao, Ai Zibo, Wang Lei, Shu Longyong Apr 2023

Threshold Segmentation Method Of Ct Scanning Data Of Coal And Rock Samples Considering Beam Hardening Effect And Its Application, Wang Kai, Fu Qiang, Xu Chao, Ai Zibo, Wang Lei, Shu Longyong

Coal Geology & Exploration

Beam hardening is a common phenomenon in the application of industrial computerized tomography (ICT). It can cause different grayscale values in components with the same density, which affects the threshold segmentation and later reconstruction of components seriously. Herein, study was conducted on the distribution law of grayscale values under the effect of beam hardening, so as to segment the CT scanning data of coal and rock samples under the beam hardening effect accurately. Through the study, it is found that the change in grayscale value on the grayscale beam could truly reflect the change in component density, which is proved …

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