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2022

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Articles 1021 - 1050 of 3613

Full-Text Articles in Computer Sciences

A Tool-Supported Metamodel For Program Bugfix Analysis In Empirical Software Engineering, Manal Zneit Aug 2022

A Tool-Supported Metamodel For Program Bugfix Analysis In Empirical Software Engineering, Manal Zneit

Theses and Dissertations

This thesis describes a software modeling approach aimed at addressing empirical studies in software engineering. We build a metamodel that provides an overview of the taxonomy of program bugfixes in deep learning programs. For modeling purposes, we present a prototype tool that is an implementation of the model-driven techniques presented.

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Generative Design Of Stable Semiconductor Materials Using Deep Learning And Density Functional Theory, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Indika Perera, Jianjun Hu Aug 2022

Generative Design Of Stable Semiconductor Materials Using Deep Learning And Density Functional Theory, Edirisuriya M. Dilanga Siriwardane, Yong Zhao, Indika Perera, Jianjun Hu

Faculty Publications

Semiconductor device technology has greatly developed in complexity since discovering the bipolar transistor. In this work, we developed a computational pipeline to discover stable semiconductors by combining generative adversarial networks (GAN), classifiers, and high-throughput first-principles calculations. We used CubicGAN, a GAN-based algorithm for generating cubic materials and developed a classifier to screen the semiconductors and studied their stability using first principles. We found 12 stable AA’ MH6 semiconductors in the F-43m space group including BaNaRhH6, BaSrZnH6, BaCsAlH6, SrTlIrH6, KNaNiH6, NaYRuH6, CsKSiH6, CaScMnH6, YZnMnH …

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Abm Simulation Model Of A Pandemic For Optimizing Vaccination Strategy, Gibeom Park Aug 2022

Abm Simulation Model Of A Pandemic For Optimizing Vaccination Strategy, Gibeom Park

Theses and Dissertations

This study presents a process-oriented hybrid model for individuals' immune responses and interactions involving vaccination to describe the trend of contagious disease and estimate the future societal cost. The model considers "recovery" as a non-absorbing state and incorporates various infection stage states including two symptomatic states. To model contagiousness to be consistent with the current pandemic and include that the spread of a disease depends on the mobility of people, we developed an Agent-Based Simulator that fitted to the particular model used in this study and can test various what-if scenarios. We improved the simulator considerably by appying data structures …

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Evaluating The Variable Stride Algorithm In The Identification Of Diabetic Retinopathy, Ying Zheng, Brian Danaher, Matthew Brown Aug 2022

Evaluating The Variable Stride Algorithm In The Identification Of Diabetic Retinopathy, Ying Zheng, Brian Danaher, Matthew Brown

Beyond: Undergraduate Research Journal

An experiment was performed to investigate a modified pooling method for use in convolutional neural networks for image recognition. This algorithm–Variable Stride–allows the user to segment an image and change the amount of subsampling in each region. This control allows for the user to maintain a higher amount of data retention in more important regions of the image, while more aggressively subsampling the less important regions to increase training speed. Three Variable Stride methods were compared to the preexisting pooling algorithms, Maximum Pool and Average Pool, in three different network configurations tasked with classifying Diabetic Retinopathy images between its early …

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A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method For Massive Mimo With Mobility, Weidong Li, Haifan Yin, Ziao Qin, Yandi Cao, Mérouane Debbah Aug 2022

A Multi-Dimensional Matrix Pencil-Based Channel Prediction Method For Massive Mimo With Mobility, Weidong Li, Haifan Yin, Ziao Qin, Yandi Cao, Mérouane Debbah

Machine Learning Faculty Publications

This paper addresses the mobility problem in massive multiple-input multiple-output systems, which leads to significant performance losses in the practical deployment of the fifth generation mobile communication networks. We propose a novel channel prediction method based on multi-dimensional matrix pencil (MDMP), which estimates the path parameters by exploiting the angular-frequency-domain and angular-timedomain structures of the wideband channel. The MDMP method also entails a novel path pairing scheme to pair the delay and Doppler, based on the super-resolution property of the angle estimation. Our method is able to deal with the realistic constraint of time-varying path delays introduced by user movements, …

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React E-Commerce Application & Google Cloud Devops, Hemanth Panditi Aug 2022

React E-Commerce Application & Google Cloud Devops, Hemanth Panditi

Masters Projects

The “CIS 693” project consists of an electronic commerce React application and a developmental operations pipeline that was built in Google Cloud. Over the duration of the applied computer science program and popular trends in technology, there has been an emphasis on cloud computing, serverless technology/microservice architecture, containerization, and distributed computing in general. The cloud is an important and necessary platform to work from because it provides a central location with access to these tools, useful documentation, and informative demonstrations. The projects for previous classes revolved around similar topics as it is relevant in today’s context. The courses offered a …

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Green Approach For Iron Oxide Nanoparticles Synthesis: Application In Antimicrobial And Anticancer- An Updated Review, Norul Aini Zakariya, Wan Hafizah W. Jusof, Shahnaz Majeed Aug 2022

Green Approach For Iron Oxide Nanoparticles Synthesis: Application In Antimicrobial And Anticancer- An Updated Review, Norul Aini Zakariya, Wan Hafizah W. Jusof, Shahnaz Majeed

Karbala International Journal of Modern Science

Cancer and microbial infections create numerous challenges nowadays. Chemotherapy agents cause severe side effects, while microbial infections, especially multidrug-resistant bacterial strains hard to treat with available antibiotics. Therefore, this review provides an overview of the green synthesis of Iron oxide nanoparticles (IONPs) with their physicochemical properties and mechanism of action . The IONPs causes cytotoxicity and antimicrobial activity by causing oxidative distress through the production of Reactive Oxygen Species (ROS). The IONPs as an anticancer and antimicrobial agent may help to overcome the limitation of conventional treatments but needs toxicity evaluation before usage in clinical applications.

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A High Yield Method For Protoplast Isolation And Ease Detection Of Rol B And C Genes In The Hairy Roots Of Cauliflower (Brassica Oleracea L.) Inoculated With Agrobacterium Rhizogenes, Qutaiba Shuaib Al-Nema, Ghazwan Qasim Hasan, Omar Abdulazeez Alhamd Aug 2022

A High Yield Method For Protoplast Isolation And Ease Detection Of Rol B And C Genes In The Hairy Roots Of Cauliflower (Brassica Oleracea L.) Inoculated With Agrobacterium Rhizogenes, Qutaiba Shuaib Al-Nema, Ghazwan Qasim Hasan, Omar Abdulazeez Alhamd

Karbala International Journal of Modern Science

Protoplasts represent a unique experimental system for the circulation and formation of genetically modified plants. Here, protoplasts were isolated from genetically modified hairy root tissues of Brassica oleracea L. induced by the Agrobacterium rhizogenes strain (ATCC13332). The concentration of enzyme solutions utilized for protoplast isolation was 1.5 % Cellulase YC and 0.1 % Pectolyase Y23 in 13% mannitol solution, which resulted in high efficiency of isolation within 8 hours, in which the protoplast yield was 2 × 104 cells ml-1 and the percentage of viability was 72%. Each protoplast has one nucleus with a nucleation of 48%. A polymerase chain …

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Tapioca Starch In The Sol-Gel Synthesis Of Cobalt Ferrites With Divalent Cation Substitutions, Anuchit Hunyek, Chitnarong Sirisathitkul, Krit Koyvanich Aug 2022

Tapioca Starch In The Sol-Gel Synthesis Of Cobalt Ferrites With Divalent Cation Substitutions, Anuchit Hunyek, Chitnarong Sirisathitkul, Krit Koyvanich

Karbala International Journal of Modern Science

An aqueous solution of tapioca starch was successfully used as a chelating agent in the sol-gel synthesis of Co0.7Me0.3Fe2O4, where Me denotes Co, Mn, Cu, Ni, or Zn. The hysteresis loops of all sintered ferrites revealed ferrimagnetic properties. The saturation magnetization was reduced in Co0.7Cu0.3Fe2O4 and Co0.7Ni0.3Fe2O4 because of the ion substitutions with smaller magnetic moments. Interestingly, Co0.7Cu0.3Fe2O4 exhibited the highest saturation magnetization and the lowest coercive field. This result demonstrates the value addition of local agricultural products in controlling nanoparticle formation during sol-gel synthesis.

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Investigating The Nuclear Properties Of 162-172 Er Isotopes Using Ibm-1, Sef, And Nee, Amal M. Al-Nuaimi, R.B. Alkhayat, Mushtaq Abed Al-Jubbori Aug 2022

Investigating The Nuclear Properties Of 162-172 Er Isotopes Using Ibm-1, Sef, And Nee, Amal M. Al-Nuaimi, R.B. Alkhayat, Mushtaq Abed Al-Jubbori

Karbala International Journal of Modern Science

The energy levels of the ground state band (GSB), , and γ-bands for 162-172Er isotopes are calculated in this work by adopting the Interacting Boson Model (IBM-1), the Semi-Empirical Formula (SEF) and the New Empirical Equation (NEE). The GSB, , and γ-bands results revealed that IBM-1, SEF, NEE, and the available experimental data are all in agreement with certain variations. The NEE is more compatible with the experimental data than the IBM-1 and SEF calculations. This study demonstrates that the SEF and NEE equations are able to describe the energy spectra of Er isotopes in comparison to IBM-1. The Er …

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Antimicrobial And Cytotoxic Properties Of Extracts From Over-Seasoned Worm-Casts Of The Earthworm Hyperiodrilus Africanus Beddard, 1891, Stephen Olugbemiga Owa, David Adeiza Otohinoyi, Theresa Ibibia Edewor-Ikupoyi, Adeolu Adeola Taiwo, Jenifer Akhere Okosun, Yvonne Oluchi Akujobi, Damilola Grace Oyewale, Tomilola Debby Olaolu, Damilare Emmanuel Rotimi, Osarenkhoe Omorefosa Osemwegie, Oluyomi Stephen Adeyemi Aug 2022

Antimicrobial And Cytotoxic Properties Of Extracts From Over-Seasoned Worm-Casts Of The Earthworm Hyperiodrilus Africanus Beddard, 1891, Stephen Olugbemiga Owa, David Adeiza Otohinoyi, Theresa Ibibia Edewor-Ikupoyi, Adeolu Adeola Taiwo, Jenifer Akhere Okosun, Yvonne Oluchi Akujobi, Damilola Grace Oyewale, Tomilola Debby Olaolu, Damilare Emmanuel Rotimi, Osarenkhoe Omorefosa Osemwegie, Oluyomi Stephen Adeyemi

Karbala International Journal of Modern Science

⦁ Background: Despite the continuous interest in the search for therapeutic agents, little attention has been given to the medicinal relevance of earthworm casts, with even less interest in over-seasoned worm-casts. Therefore, this study determined the phytochemical, antimicrobial, and cytotoxic properties of over-seasoned worm-casts of the earthworm Hyperiodrilus africanus (Eudrilidae). Methods: The earthworm casts were extracted with n-hexane, ethanol, and water and the crude extracts were evaluated for the presence of chemical constituents and antimicrobial properties. Cytotoxicity was inferred from the antimitotic effects of the extracts on the radicles of germinating seeds of Sorghum bicolor. Results: The chemical constituent determinations …

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A Review On The Ethnobotanical, Phytochemistry, And Pharmacological Activities Of Aristolochia Longa L., Oluwafemi Adeleke Ojo, Matthew Iyobhebhe, Bukola Atunwa, Adebola Busola Ojo Aug 2022

A Review On The Ethnobotanical, Phytochemistry, And Pharmacological Activities Of Aristolochia Longa L., Oluwafemi Adeleke Ojo, Matthew Iyobhebhe, Bukola Atunwa, Adebola Busola Ojo

Karbala International Journal of Modern Science

Aristolochia longa L. is a plant native to Algeria and Morocco that has been used by the locals to combat different arrays of infections and diseases found among them. This particular plant is well-known for its therapeutic qualities that could be traced back to the presence of many effective phytochemicals that have been extrapolated from the different parts of the plant, like the leaves and roots: flavonoids, saponins, tannins, 4-hydroxybenzoic acid, β-carotenes, limonenes, and palmitic acids. This plant has been identified in different research articles to be able to manage diseases effectively because it possesses some pharmacological attributes such as; …

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Thermal Aware Routing Protocols For Wireless Body Area Networks: Review And Open Research Issues, Samir Bouldjadj Aug 2022

Thermal Aware Routing Protocols For Wireless Body Area Networks: Review And Open Research Issues, Samir Bouldjadj

Karbala International Journal of Modern Science

Wireless Body Area Network (WBAN) is a promising technology that improves life quality and enhances medical healthcare services. The activities and communications of sensors lead to a temperature rise, which can be fatal for the human body. The heating problem is addressed by the thermal-aware strategy, which has great importance. This paper reviews sixteen thermal-aware routing protocols proposed for WBAN; it presents routing in WBAN and its associated challenges. It explains the principles and pros and cons of each protocol and compares the protocols studied using several criteria. Finally, the paper points out the open research issues and challenges. This …

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Applicability Limits Of The End Face Fiber-Optic Gas Concentration Sensor, Based On Fabry-Perot Interferometer, S.M.R.H. Hussein, A.Zh. Sakhabutdinov, O.G. Morozov, V.I. Anfinogentov, J.A. Tunakova, A.R. Shagidullin, A.A. Kuznetsov, K.A. Lipatnikov, A.R. Nasybullin Aug 2022

Applicability Limits Of The End Face Fiber-Optic Gas Concentration Sensor, Based On Fabry-Perot Interferometer, S.M.R.H. Hussein, A.Zh. Sakhabutdinov, O.G. Morozov, V.I. Anfinogentov, J.A. Tunakova, A.R. Shagidullin, A.A. Kuznetsov, K.A. Lipatnikov, A.R. Nasybullin

Karbala International Journal of Modern Science

The mathematical model of the fiber-optic sensor for gas concentration analysis is under study. The sensor is imple-mented as Fabry-Perot interferometer at the end face of the optical fiber by applying a thin polymer film, which permit-tivity depends on the tested gas concentration. It is shown, that a change in the properties of the optical fiber or the at-mosphere permittivity leads mainly to the spectrum contrast changing and does not change the period and the wave-length shift of its comb. The influence of the polymer film thickness, the environment temperature and humidity on the Fabry-Perot spectrum is analyzed. The necessity …

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Molecular Docking Reveals Phytoconstituents Of The Methanol Extract From Muntingia Calabura As Promising Α-Glucosidase Inhibitors, Nurlena Andalia, Muhammad N. Salim, Nurdin Saidi, Muhammad Ridhwan, Muhammad Iqhrammullah, Ummu Balqis Aug 2022

Molecular Docking Reveals Phytoconstituents Of The Methanol Extract From Muntingia Calabura As Promising Α-Glucosidase Inhibitors, Nurlena Andalia, Muhammad N. Salim, Nurdin Saidi, Muhammad Ridhwan, Muhammad Iqhrammullah, Ummu Balqis

Karbala International Journal of Modern Science

Inhibition of α-glucosidase has been used as a management of type 2 diabetes mellitus, where studies are focused on finding more efficacious and safe drugs. Herein, the research aimed to unveil the potential of phytoconstituents contained in methanol extract of Muntingia calabura leaves in inhibiting α-glucosidase through molecular docking simulation. From a systematic search (Scopus), we found 5 eligible articles and identified 28 phytocompounds. Fisetin, pinostrobin, and rhamnetin identified in M. calabura extract were predicted to have good bioavailability. Finally, fisetin was revealed as the most potential α-glucosidase inhibitor candidate with a binding affinity of -7.5 kcal/mol.

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Attack Prediction To Enhance Attack Path Discovery Using Improved Attack Graph, Zaid. J. Al-Araji, Sharifah Sakinah Syed Ahmad, Raihana Syahirah Abdullah Aug 2022

Attack Prediction To Enhance Attack Path Discovery Using Improved Attack Graph, Zaid. J. Al-Araji, Sharifah Sakinah Syed Ahmad, Raihana Syahirah Abdullah

Karbala International Journal of Modern Science

Organisations and governments constantly face potential security attacks. However, the need for next-generation cyber defence has become even more urgent in a day and age when attack surfaces that hackers can exploit have grown at an alarming rate with an increase in the number of devices that are connected to the Internet. As such, next-generation cyber defence that relies on predictive analysis is more proactive than existing technologies that rely on intrusion detection. Many approaches with which to detect and predict attacks have been proposed in recent times. One such approach is attack graphs. The primary purpose of an attack …

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Performance Simulation For Adaptive Optics Technique Using Oomao Toolbox, Mahmood Kareem Mirdan, Raaid Nawfee Hassan, Bushra Qassim Al-Aboodi Aug 2022

Performance Simulation For Adaptive Optics Technique Using Oomao Toolbox, Mahmood Kareem Mirdan, Raaid Nawfee Hassan, Bushra Qassim Al-Aboodi

Karbala International Journal of Modern Science

The Adaptive Optics technique has been developed to obtain the correction of atmospheric seeing. The purpose of this study is to use the MATLAB program to investigate the performance of an AO system with the most recent AO simulation tools, Objected-Oriented Matlab Adaptive Optics (OOMAO). This was achieved by studying the variables that impact image quality correction, such as observation wavelength bands, atmospheric parameters, telescope parameters, deformable mirror parameters, wavefront sensor parameters, and noise parameters. The results presented a detailed analysis of the factors that influence the image correction process as well as the impact of the AO components on …

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Artificial Intelligence In The Radiomic Analysis Of Glioblastomas: A Review, Taxonomy, And Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, Shenjie Zhai Aug 2022

Artificial Intelligence In The Radiomic Analysis Of Glioblastomas: A Review, Taxonomy, And Perspective, Ming Zhu, Sijia Li, Yu Kuang, Virginia B. Hill, Amy B. Heimberger, Lijie Zhai, Shenjie Zhai

Electrical & Computer Engineering Faculty Research

Radiological imaging techniques, including magnetic resonance imaging (MRI) and positron emission tomography (PET), are the standard-of-care non-invasive diagnostic approaches widely applied in neuro-oncology. Unfortunately, accurate interpretation of radiological imaging data is constantly challenged by the indistinguishable radiological image features shared by different pathological changes associated with tumor progression and/or various therapeutic interventions. In recent years, machine learning (ML)-based artificial intelligence (AI) technology has been widely applied in medical image processing and bioinformatics due to its advantages in implicit image feature extraction and integrative data analysis. Despite its recent rapid development, ML technology still faces many hurdles for its broader applications …

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Weighted Incremental–Decremental Support Vector Machines For Concept Drift With Shifting Window, Honorius Gâlmeanu, Răzvan Andonie Aug 2022

Weighted Incremental–Decremental Support Vector Machines For Concept Drift With Shifting Window, Honorius Gâlmeanu, Răzvan Andonie

Computer Science Faculty Scholarship

We study the problem of learning the data samples’ distribution as it changes in time. This change, known as concept drift, complicates the task of training a model, as the predictions become less and less accurate. It is known that Support Vector Machines (SVMs) can learn weighted input instances and that they can also be trained online (incremental–decremental learning). Combining these two SVM properties, the open problem is to define an online SVM concept drift model with shifting weighted window. The classic SVM model should be retrained from scratch after each window shift. We introduce the Weighted Incremental–Decremental SVM (WIDSVM), …

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Cyberbullying Detection Using Weakly Supervised And Fully Supervised Learning, Abhinav Abhishek Aug 2022

Cyberbullying Detection Using Weakly Supervised And Fully Supervised Learning, Abhinav Abhishek

ETD Archive

Machine learning is a very useful tool to solve issues in multiple domains such as sentiment analysis, fake news detection, facial recognition, and cyberbullying. In this work, we have leveraged its ability to understand the nuances of natural language to detect cyberbullying. We have further utilized it to detect the subject of cyberbullying such as age, gender, ethnicity, and religion. Further, we have built another layer to detect the cases of misogyny in cyberbullying. In one of our experiments, we created a three-layered architecture to detect cyberbullying , then to detect if it is gender based and finally if it …

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Perturbation Modeling For Molecular Design Of Protein Tyrosine Kinase Inhibitors Using Unsupervised Machine Learning, Keerthi Krishnan Aug 2022

Perturbation Modeling For Molecular Design Of Protein Tyrosine Kinase Inhibitors Using Unsupervised Machine Learning, Keerthi Krishnan

Computational and Data Sciences (MS) Theses

The field of computational drug discovery and development has grown, with the aid of new computational tools for novel molecule discovery. In specific, generative deep learning models have excelled as tools to aid in navigating the large space of known molecules and in the creation of new molecules. These models are fed various representations of molecules as inputs and learn to perform a variety of things, such as the optimization of these molecules towards a targeted property. Ultimately, these generative learning models allow us to build bridges between chemical and continuous spaces to understand the compromise between invoking small incremental …

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Data Collection And Machine Learning Methods For Automated Pedestrian Facility Detection And Mensuration, Joseph Bailey Luttrell Iv Aug 2022

Data Collection And Machine Learning Methods For Automated Pedestrian Facility Detection And Mensuration, Joseph Bailey Luttrell Iv

Dissertations

Large-scale collection of pedestrian facility (crosswalks, sidewalks, etc.) presence data is vital to the success of efforts to improve pedestrian facility management, safety analysis, and road network planning. However, this kind of data is typically not available on a large scale due to the high labor and time costs that are the result of relying on manual data collection methods. Therefore, methods for automating this process using techniques such as machine learning are currently being explored by researchers. In our work, we mainly focus on machine learning methods for the detection of crosswalks and sidewalks from both aerial and street-view …

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How Order And Disorder Affect People's Behavior: An Explanation, Sofia Holguin, Vladik Kreinovich Aug 2022

How Order And Disorder Affect People's Behavior: An Explanation, Sofia Holguin, Vladik Kreinovich

Departmental Technical Reports (CS)

Experimental data shows that people placed in orderly rooms donate more to charity and make healthier food choices that people placed in disorderly rooms. On the other hand, people placed in disorderly rooms show more creativity. In this paper, we provide a possible explanation for these empirical phenomena.

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Why Decision Paralysis, Sean Aguilar, Vladik Kreinovich Aug 2022

Why Decision Paralysis, Sean Aguilar, Vladik Kreinovich

Departmental Technical Reports (CS)

If a person has a small number of good alternatives, this person can usually make a good decision, i.e., select one of the given alternatives. However, when we have a large number of good alternatives, people take much longer to make a decision -- sometimes so long that, as a result, no decision is made. How can we explain this seemingly no-optimal behavior? In this paper, we show that this "decision paralysis" can be naturally explained by using the usual decision making ideas.

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Why Five Stages Of Solar Activity, Why Five Stages Of Grief, Why Seven Plus Minus Two: A General Geometric Explanation, Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich Aug 2022

Why Five Stages Of Solar Activity, Why Five Stages Of Grief, Why Seven Plus Minus Two: A General Geometric Explanation, Miroslav Svitek, Olga Kosheleva, Vladik Kreinovich

Departmental Technical Reports (CS)

A recent paper showed that the solar activity cycle has five clear stages, and that taking theses stages into account helps to make accurate predictions of future solar activity. Similar 5-stage models have been effective in many other application area, e.g., in psychology, where a 5-stage model provides an effective description of grief. In this paper, we provide a general geometric explanations of why 5-stage models are often effective. This result also explains other empirical facts, e.g., the seven plus minus two law in psychology and the fact that only five space-time dimensions have found direct physical meaning.

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Understanding The Assumptions Of An Seir Compartmental Model Using Agentization And A Complexity Hierarchy, Elizabeth Hunter, John D. Kelleher Aug 2022

Understanding The Assumptions Of An Seir Compartmental Model Using Agentization And A Complexity Hierarchy, Elizabeth Hunter, John D. Kelleher

Articles

Equation-based and agent-based models are popular methods in understanding disease dynamics. Although there are many types of equation-based models, the most common is the SIR compartmental model that assumes homogeneous mixing and populations. One way to understand the effects of these assumptions is by agentization. Equation-based models can be agentized by creating a simple agent-based model that replicates the results of the equationbased model, then by adding complexity to these agentized models it is possible to break the assumptions of homogeneous mixing and populations and test how breaking these assumptions results in different outputs. We report a set of experiments …

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Understanding Learners' Motivation Through Machine Learning Analysis On Reflection Writing, Elizabeth Pluskwik, Yuezhou Wang, Lauren Singelmann Aug 2022

Understanding Learners' Motivation Through Machine Learning Analysis On Reflection Writing, Elizabeth Pluskwik, Yuezhou Wang, Lauren Singelmann

Integrated Engineering Department Publications

Educational data mining (EDM) is an emerging interdisciplinary field that utilizes a machine learning (ML) algorithm to collect and analyze educational data, aiming to better predict students' performance and retention. In this WIP paper, we report our methodology and preliminary results from utilizing a ML program to assess students’ motivation through their upper-division years in the XYZ project-based learning (PBL) program. ML, or more specifically, the clustering algorithm, opens the door to processing large amounts of student-written artifacts, such as reflection journals, project reports, and written assignments, and then identifies keywords that signal their levels of motivation (i.e., extrinsic vs. …

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Data-Driven Research On Engineering Design Thinking And Behaviors In Computer-Aided Systems Design: Analysis, Modeling, And Prediction, Molla Hafizur Rahman Aug 2022

Data-Driven Research On Engineering Design Thinking And Behaviors In Computer-Aided Systems Design: Analysis, Modeling, And Prediction, Molla Hafizur Rahman

Graduate Theses and Dissertations

Research on design thinking and design decision-making is vital for discovering and utilizing beneficial design patterns, strategies, and heuristics of human designers in solving engineering design problems. It is also essential for the development of new algorithms embedded with human intelligence and can facilitate human-computer interactions. However, modeling design thinking is challenging because it takes place in the designer’s mind, which is intricate, implicit, and tacit. For an in-depth understanding of design thinking, fine-grained design behavioral data are important because they are the critical link in studying the relationship between design thinking, design decisions, design actions, and design performance. Therefore, …

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Saturation And Periodic Self-Stress In Geometric Auxetics, Ciprian S. Borcea, Ileana Streinu Aug 2022

Saturation And Periodic Self-Stress In Geometric Auxetics, Ciprian S. Borcea, Ileana Streinu

Computer Science: Faculty Publications

The auxetic structures considered in this paper are three-dimensional periodic bar-and-joint frameworks. We start with the specific purpose of obtaining an auxetic design with underlying periodic graph of low valency. Adapting a general methodology, we produce an initial framework with valency seven and one degree of freedom. Then, we describe a saturation process, whereby edge orbits are added up to valency 16, with no alteration of the deformation path. This is reflected in a large dimension for the space of periodic self-stresses. The saturated version has higher crystallographic symmetry and allows a precise description of the deformation trajectory. Reducing saturation …

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Why Micro-Size Objects Affect The Flow Much More Than Larger Ones: A Geometric Explanations With Applications Ranging From Volcanoes And Tornadoes To Blood, Fish, And Building Preservation, Laxman Bokati, Vladik Kreinovich Aug 2022

Why Micro-Size Objects Affect The Flow Much More Than Larger Ones: A Geometric Explanations With Applications Ranging From Volcanoes And Tornadoes To Blood, Fish, And Building Preservation, Laxman Bokati, Vladik Kreinovich

Departmental Technical Reports (CS)

At first glance, the larger the object, the larger should be its effect on the surroundings -- in particular, the larger should be its effect on the surrounding flow. However, in many practical situations, we observe the opposite effect: micro-size particles affect the flow much more than larger-size particles. This seemingly counterintuitive phenomena has been observed in many situations: lava flow in the volcanoes, air circulation in tornadoes, blood flow in a body, the effect of fish on water circulation in the ocean, and the effect of added particles on seeping water that damages historic buildings. In this paper, we …

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