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Damage Assessment In Aging Structures Using Augmented Reality, Omar Zuhair Awadallah, Ayan Sadhu 2022 Western University

Damage Assessment In Aging Structures Using Augmented Reality, Omar Zuhair Awadallah, Ayan Sadhu

Undergraduate Student Research Internships Conference

Structural Health Monitoring (SHM) is the assessment of bridges and observation of data regarding these bridges over time to monitor their evolution and detect the presence of any possible damages. However, existing methods to perform structural inspections in bridges are high in cost, time-consuming and risky. Inspectors use expensive equipment to reach a certain area of the bridge to inspect it, and at different heights, this can pose a risk to the inspector’s safety. This study aims to find cheaper, faster, and safer ways to perform structural inspections using augmented reality and artificial intelligence. The developed system uses a ...


How Can Social Networks Impact Careers In Game Development?, Tongzhang Wang 2022 Western University

How Can Social Networks Impact Careers In Game Development?, Tongzhang Wang

Undergraduate Student Research Internships Conference

The game development industry is one characterized by young workers and fast worker turnover. The popularity of using twitter as a professional tool within the video games industry presents a potentially insightful view port into a professional's informal network. Investigating characteristics of the social networks of newly graduated students in the game development industry may reveal what factors contribute to fast worker turnover and how certain cohorts may face additional barriers.


Data Preprocessing For Machine Learning Modules, Rawan El Moghrabi 2022 Western University

Data Preprocessing For Machine Learning Modules, Rawan El Moghrabi

Undergraduate Student Research Internships Conference

Data preprocessing is an essential step when building machine learning solutions. It significantly impacts the success of machine learning modules and the output of these algorithms. Typically, data preprocessing is made-up of data sanitization, feature engineering, normalization, and transformation. This paper outlines the data preprocessing methodology implemented for a data-driven predictive maintenance solution. The above-mentioned project entails acquiring historical electrical data from industrial assets and creating a health index indicating each asset's remaining useful life. This solution is built using machine learning algorithms and requires several data processing steps to increase the solution's accuracy and efficiency. In this ...


A Kuramoto Model Approach To Predicting Chaotic Systems With Echo State Networks, Sophie Wu, Jackson Howe 2022 Western University

A Kuramoto Model Approach To Predicting Chaotic Systems With Echo State Networks, Sophie Wu, Jackson Howe

Undergraduate Student Research Internships Conference

An Echo State Network (ESN) with an activation function based on the Kuramoto model (Kuramoto ESN) is implemented, which can successfully predict the logistic map for a non-trivial number of time steps. The reservoir in the prediction stage exhibits binary dynamics when a good prediction is made, but the oscillators in the reservoir display a larger variability in states as the ESN’s prediction becomes worse. Analytical approaches to quantify how the Kuramoto ESN’s dynamics relate to its prediction are explored, as well as how the dynamics of the Kuramoto ESN relate to another widely studied physical model, the ...


Simulating Salience: Developing A Model Of Choice In The Visual Coordination Game, Adib Sedig 2022 Western University

Simulating Salience: Developing A Model Of Choice In The Visual Coordination Game, Adib Sedig

Undergraduate Student Research Internships Conference

This project is primarily inspired by three papers: Colin Camerer and Xiaomin Li’s (2019 working paper)—Using Visual Salience in Empirical Game Theory, Ryan Oprea’s (2020)—What Makes a Rule Complex?, and Caplin et. al.’s (2011)—Search and Satisficing. Over the summer, I worked towards constructing a model of choice for the visual coordination game that can model player behavior more accurately than traditional game theoretic predictions. It attempts to do so by incorporating a degree of bias towards salience into a cellular automaton search algorithm and utilizing it alongside a sequential search mechanism of satisficing. This ...


Computational Imaging For Shape Understanding, Yuqi Ding 2022 Louisiana State University and Agricultural and Mechanical College

Computational Imaging For Shape Understanding, Yuqi Ding

LSU Doctoral Dissertations

Geometry is the essential property of real-world scenes. Understanding the shape of the object is critical to many computer vision applications. In this dissertation, we explore using computational imaging approaches to recover the geometry of real-world scenes. Computational imaging is an emerging technique that uses the co-designs of image hardware and computational software to expand the capacity of traditional cameras. To tackle face recognition in the uncontrolled environment, we study 2D color image and 3D shape to deal with body movement and self-occlusion. Especially, we use multiple RGB-D cameras to fuse the varying pose and register the front face in ...


Purifications Of Iraqi Petroleum Using Ceramic Ball Nano Cobalt Nickel Ferrite Filter, Huda Jabbar, Enas Muhi, Tahseen Hussien 2022 Department of Applied Sciences, University of Technology

Purifications Of Iraqi Petroleum Using Ceramic Ball Nano Cobalt Nickel Ferrite Filter, Huda Jabbar, Enas Muhi, Tahseen Hussien

Karbala International Journal of Modern Science

Iraqi petroleum, especially from the Al-Ahdab, has a big problem resulting from its high percentage of heavy metals. In this paper, heavy metals were reduced or removed from Iraqi petroleum using a Ceramic Ball Nano Cobalt Nickel Ferrite Filter (BCNF), synthesized by combining kaolin and palm frond in a 30% ratio with Co0.8Ni0.2Fe2O4 nanoparticles in a various ratios (5, 10, 15, and 20%). The sol-gel technique prepared Co0.8Ni0.2Fe2O4 nanoparticles. The structure and magnetic properties of the material are described using X-RD, FT-IR, and VSM techniques. In addition, the water ab-sorption ratio and apparent porosity were assessed ...


Studying The Physical And Biological Characteristics Of Denture Base Resin Pmma Reinforced With Zro2 And Tio2 Nanoparticles, Fatin A. Asim, Entessar H.A. Al-Mosaweb, Wafaa A. Hussain 2022 Applied Science Department, University of Technology

Studying The Physical And Biological Characteristics Of Denture Base Resin Pmma Reinforced With Zro2 And Tio2 Nanoparticles, Fatin A. Asim, Entessar H.A. Al-Mosaweb, Wafaa A. Hussain

Karbala International Journal of Modern Science

Polymethyl methacrylate (PMMA) suffers from poor mechanical properties that limit its application in the bio-medical field. In this study, PMMA was reinforced with zirconium dioxide (ZrO2) and titanium dioxide (TiO2) nanopar-ticles; subsequently, the hardness, porosity, biocompatibility, bacterial adhesion, and colonization of the reinforced PMMA with various oxide nanoparticles were characterized. The results of this study indicated that reinforced material inhibits bacterial growth and decreases bacterial adhesion by decreasing porosity and increasing PMMA hardness. Based on the findings, 3 wt% PMMA-ZrO2 and 3 wt% PMMA-ZrO2 -TiO2 composites significantly inhibited bacterial growth and adherence while maintaining hemolysis PT and INR and enhancing ...


Skin Lesion Segmentation Based On U-Shaped Network, Muna Khalaf, Ban N. Dhannoon 2022 University of Baghdad

Skin Lesion Segmentation Based On U-Shaped Network, Muna Khalaf, Ban N. Dhannoon

Karbala International Journal of Modern Science

Skin lesion segmentation is an essential step toward accurate skin lesion diagnosis. The need to automate Skin lesion segmentation on the one hand, and the challenges it faces, on the other hand, have made it a growing area of research and focus. Automation of skin lesion segmentation helps reduce the effort and time needed for diagnosis and treatment and helps make better utilization of available data and shared experiences. The challenges faced by the automation of skin lesion segmentation can be broadly defined by (but not limited to); variations in texture, shape, and size for skin lesions and the low ...


C60 Hydrofullerene Induced Autophagy And Ameliorated Gfap In H2o2 Treated Human Malignant Glioblastoma U-373 Cell Line, Aryan M. Faraj, Can A. Agca, Victor S. Nedzvetsky, Artem A. Tykhomyrov 2022 Medical Laboratory Science Department, Technical College of ApplieScience, Sulaimani Polytechnic University,

C60 Hydrofullerene Induced Autophagy And Ameliorated Gfap In H2o2 Treated Human Malignant Glioblastoma U-373 Cell Line, Aryan M. Faraj, Can A. Agca, Victor S. Nedzvetsky, Artem A. Tykhomyrov

Karbala International Journal of Modern Science

Glioblastoma is one of the most combative astrocytoma that is resistant to chemotherapy and radiotherapy. This resistance makes it very difficult to treat. However, researches have shown that nanoparticles especially C60 hydrofullerene have antioxidant and anticancer activity. The effect of C60 hydrofullerene in cancer has been extensively studied; however, the potential regulation of autophagy and modulation of the Glial Fibrillary Acidic Protein (GFAP) gene has not been addressed in glioblastomas. Glioblastoma U-373 cell was treated with 0.5 µM of C60 hydrofullerene and/or 1 mM of hydrogen peroxide (H2O2) for 24 hours. This study demonstrated that C60 hydrofullerene and ...


Improving Prediction Of Arabic Fake News Using Fuzzy Logic And Modified Random Forest Model, Tahseen A. Wotaifi, Ban N. Dhannoon 2022 College of Infomation Technology, University of Babylon,

Improving Prediction Of Arabic Fake News Using Fuzzy Logic And Modified Random Forest Model, Tahseen A. Wotaifi, Ban N. Dhannoon

Karbala International Journal of Modern Science

Throughout the last few years, the world is witnessing the so-called age of social media, as there is a complete dependence on these sites for following up on events and activities. The problem is that the misinformation or fake news is always released at the appropriate time, so this false news spreads quickly and takes a very wide resonance. Although several studies are performed to determine English fake news, the identification of Arabic misinformation remains underdeveloped. This study aims to build an improved learning model for detecting fake news in the Arabic language. Unlike previous studies that depended on analyzing ...


Synthesized Zinc Nanoparticles Via Pulsed Laser Ablation: Characterization And Antibacterial Activity, Sahar Naji Rashid, Kadhim A. Aadim, Awatif Sabir Jasim, Arshad Mahdi Hamad 2022 Department of Physics, College of Science, University of Tikrit, Tikrit, Iraq

Synthesized Zinc Nanoparticles Via Pulsed Laser Ablation: Characterization And Antibacterial Activity, Sahar Naji Rashid, Kadhim A. Aadim, Awatif Sabir Jasim, Arshad Mahdi Hamad

Karbala International Journal of Modern Science

The pulsed laser ablation of a metallic target in the liquid (PLAL) is a modern and good method for creating a variety of nanomaterials that have piqued the interest of researchers in the last decade. It is used in this work to prepare zinc na-noparticles and zinc oxide nanoparticles (ZnPNs and ZnO NPs) using Nd: YAG laser with the two wavelengths (532 nm) and (355 nm) using the energies (600 mJ) and (500 mJ) respectively, and the number of the pulse (500, 600, 700, 800, and 900 Pulses); for each wavelength used in this work. The properties of the prepared ...


Continuum Damping Effects In Nuclear Collisions, Hossein Sadeghi, Mahdieh Ghafouri 2022 Department of Physics, Faculty of Science, University of Arak, Arak 8349-8-38156, Iran

Continuum Damping Effects In Nuclear Collisions, Hossein Sadeghi, Mahdieh Ghafouri

Karbala International Journal of Modern Science

The Time-Dependent Skyrme Hartree-Fock (TDSHF) calculations have been conducted to study 100Sn+16O, 116Sn+16O, and 122Sn+16O collisions on a 3-Dimensional (3D) mesh with SV-bas SF. For the 100Sn+16O collision, the continuum damping width of the rotational amplitudes in Ecm = 100, 150, 200, and 250 MeV has been achieved around 108, 185, 277, and 318, with the time evolution width for z2 around 15/5, 13/5, 13/9, or 14/3 fm2. The quadrupole deformation, kinetic energy, and rotational amplitude are studied. It is seen that the compound nucleus becomes uniform and spherical as time grows. The ...


A Successful Elimination Of Indonesian Sars-Cov-2 Variants And Airborne Transmission Prevention By Cold Plasma In Fighting Covid-19 Pandemic: A Preliminary Study, Muhammad Nur, Chairul A. Nidom, Setyarina Indrasari, Arif N. M. Ansori, Mohamad Y. Alamudi, Astria N. Nidom, Sumariyah Sumariyah, Eva Sasmita, Eko Yulianto, Andi W. Kinandana, Anwar Usman, Muhammad K. J. Kusala, Irine Normalina, Reviany V. Nidom 2022 Department of Physics, Faculty of Science and Mathematics, Diponegoro University, Semarang, Indonesia

A Successful Elimination Of Indonesian Sars-Cov-2 Variants And Airborne Transmission Prevention By Cold Plasma In Fighting Covid-19 Pandemic: A Preliminary Study, Muhammad Nur, Chairul A. Nidom, Setyarina Indrasari, Arif N. M. Ansori, Mohamad Y. Alamudi, Astria N. Nidom, Sumariyah Sumariyah, Eva Sasmita, Eko Yulianto, Andi W. Kinandana, Anwar Usman, Muhammad K. J. Kusala, Irine Normalina, Reviany V. Nidom

Karbala International Journal of Modern Science

Global infection and mortality rates have soared to millions due to SARS-CoV-2 human-to-human transmission from via droplets which then declared as pandemic. This study examined the created cold plasma equipment (CPE) effectiveness in reducing COVID-19 transmission in a confined space. CPE sucked air using a fan in a test chamber then pushed it into a cold plasma reactor. The results indicated that it was able to terminate all SARS-CoV-2 variants along with bacteria and fungi indoors by keeping it turned on for 30 minutes’ minimum. CPE was proven as safe and effective to hinder virus transmission with the acceptable ozone ...


The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska 2022 College of Computer Science & Information Technology, University of Kerbala - Iraq

The Distinction Of Logical Decision According To The Model Of The Analysis Of Brain Signals (Eeg), Akeel Abdulkareem Al-Sakaa, Zaid H. Nasralla, Mohsin Hasan Hussein, Saif A. Abd, Hazim Alsaqaa, Kesra Nermend, Anna Borawska

Karbala International Journal of Modern Science

Recently, brain signal patterns have been recruited by researchers in different life activities. Researchers have studied each life activity and how brain signal patterns appear. These patterns could then be generalised and used in different disciplines. In this paper, we study the brain state during decision making in a lottery experiment. An EEG device is used to capture brain signals during an experiment to extract the optimal state for logical decision making. After collecting data, extracting useful information and then processing it, the proposed method is able to identify rational decisions from irrational ones with a success rate of 67%.


Classification Models For 2,4-D Formulations In Damaged Enlist Crops Through The Application Of Ftir Spectroscopy And Machine Learning Algorithms, Benjamin Blackburn 2022 Mississippi State University

Classification Models For 2,4-D Formulations In Damaged Enlist Crops Through The Application Of Ftir Spectroscopy And Machine Learning Algorithms, Benjamin Blackburn

Theses and Dissertations

With new 2,4-Dichlorophenoxyacetic acid (2,4-D) tolerant crops, increases in off-target movement events are expected. New formulations may mitigate these events, but standard lab techniques are ineffective in identifying these 2,4-D formulations. Using Fourier-transform infrared spectroscopy and machine learning algorithms, research was conducted to classify 2,4-D formulations in treated herbicide-tolerant soybeans and cotton and observe the influence of leaf treatment status and collection timing on classification accuracy. Pooled Classification models using k-nearest neighbor classified 2,4-D formulations with over 65% accuracy in cotton and soybean. Tissue collected 14 DAT and 21 DAT for cotton and soybean respectively ...


Gpgpu Microbenchmarking For Irregular Application Optimization, Dalton R. Winans-Pruitt 2022 Mississippi State University

Gpgpu Microbenchmarking For Irregular Application Optimization, Dalton R. Winans-Pruitt

Theses and Dissertations

Irregular applications, such as unstructured mesh operations, do not easily map onto the typical GPU programming paradigms endorsed by GPU manufacturers, which mostly focus on maximizing concurrency for latency hiding. In this work, we show how alternative techniques focused on latency amortization can be used to control overall latency while requiring less concurrency. We used a custom-built microbenchmarking framework to test several GPU kernels and show how the GPU behaves under relevant workloads. We demonstrate that coalescing is not required for efficacious performance; an uncoalesced access pattern can achieve high bandwidth - even over 80% of the theoretical global memory bandwidth ...


X-Ray Vision At Action Space Distances: Depth Perception In Context, Nate Phillips 2022 Mississippi State University

X-Ray Vision At Action Space Distances: Depth Perception In Context, Nate Phillips

Theses and Dissertations

Accurate and usable x-ray vision has long been a goal in augmented reality (AR) research and development. X-ray vision, or the ability to comprehend location and object information when such is viewed through an opaque barrier, would be imminently useful in a variety of contexts, including industrial, disaster reconnaissance, and tactical applications. In order for x-ray vision to be a useful tool for many of these applications, it would need to extend operators’ perceptual awareness of the task or environment. The effectiveness with which x-ray vision can do this is of significant research interest and is a determinant of its ...


(2022 Revision) Chapter 7: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana 2022 CUNY New York City College of Technology

(2022 Revision) Chapter 7: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.


(2022 Revision) Chapter 3: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana 2022 CUNY New York City College of Technology

(2022 Revision) Chapter 3: Essential Aspects Of Physical Design And Implementation Of Relational Databases, Tatiana Malyuta, Ashwin Satyanarayana

Open Educational Resources

No abstract provided.


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