Engineering Commons^™

Grammatical Error Correction In Thai Sentences For Deaf Students, Supachan Traitruengsakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Deaf students encounter challenges in written communication due to errors such as insertion, deletion, disorder, misusage, and misspellings. Grammatical error correction (GEC) technology can help mitigate these issues. However, existing GEC models are primarily trained on online resources from second-language hearing learners. In contrast, sentences written by deaf students suffer from a variety of errors not typically found elsewhere. To address this issue, we create the Thai Deaf Corpus (TDC), focusing on identifying and analyzing errors among deaf students in grades 7-12 across four deaf schools. Additionally, we introduce a two-stage system for the Thai-GEC model, automatically detecting and correcting …

การสร้างเทสต์สคริปต์ของโรบอทเฟรมเวิร์คจากยูสเซอร์สตอรีและซีนาริโอ สำหรับการทดสอบเว็บแอปพลิเคชัน, กฤชวัฒน์ เวชสาร

Chulalongkorn University Theses and Dissertations (Chula ETD)

กระบวนการพัฒนาซอฟต์แวร์ด้วยสกรัมเฟรมเวิร์กและแนวคิดบีเฮฟเวียร์ดริเวนดีเวลลอปเมนต์ (BDD) เป็นกระบวนการที่ได้รับความนิยมในปัจจุบัน โดยความต้องการของผู้ใช้จะถูกเก็บรวบรวมและถ่ายทอดผ่านยูสเซอร์สตอรีและซีนาริโอ ซึ่งทำหน้าที่เป็นทั้งตัวอย่างและเกณฑ์การยอมรับ การแบ่งการพัฒนาออกเป็นช่วงเล็ก ๆ ช่วยลดเวลาและต้นทุนในการพัฒนา อย่างไรก็ตาม กระบวนการที่มีการพัฒนาเป็นช่วงสั้น ๆ อย่างต่อเนื่องนี้สร้างความท้าทายสำหรับการทดสอบ โดยเฉพาะการทดสอบเชิงถดถอย แม้ว่าการทดสอบแบบอัตโนมัติจะถูกนำมาใช้เพื่อลดภาระ แต่การเขียนเทสต์สคริปต์ด้วยตนเองยังคงมีความเสี่ยงที่จะเกิดข้อผิดพลาดและขาดประสิทธิภาพ ส่งผลให้การทดสอบเชิงถดถอยที่สำคัญมักถูกเลื่อนออกไปจนไม่สามารถตรวจพบข้อผิดพลาดได้ทันการณ์ งานวิจัยนี้นำเสนอแนวทางการแก้ปัญหาด้วยการสร้างเทสต์สคริปต์สำหรับโรบอทเฟรมเวิร์กโดยอัตโนมัติจากยูสเซอร์สตอรีและซีนาริโอ โดยใช้ XML เพื่อกำหนดโครงสร้างส่วนต่อประสานผู้ใช้ของหน้าเว็บ ช่วยให้สามารถจัดเตรียมเทสต์สคริปต์ได้ตั้งแต่ขั้นตอนการออกแบบ นอกจากตัวอย่างในซีนาริโอแล้ว ยังใช้ XML Schema Definition (XSD) เพื่อสร้างชุดข้อมูลสำหรับการทดสอบเพิ่มเติมโดยอัตโนมัติ การพารามิเตอร์ไรซ์เทสต์สคริปต์ช่วยรวบรวมกรณีทดสอบที่มีขั้นตอนร่วมกัน แต่ใช้ชุดข้อมูลต่างกันไว้ในสคริปต์เดียวกัน ซึ่งช่วยลดความซับซ้อนและภาระในการบำรุงรักษา เครื่องมือที่พัฒนาขึ้นตามแนวทางนี้สามารถลดความยุ่งยากในการจัดการเทสต์สคริปต์และเพิ่มประสิทธิภาพในการทดสอบเชิงถดถอยได้อย่างมีนัยสำคัญ และช่วยสนับสนุนการตรวจพบข้อผิดพลาดตั้งแต่ช่วงแรกของกระบวนการพัฒนา

Electrolyte/Electrode Interfacial Electrochemical Optimization Strategies For Durable Aqueous Zinc-Ion Batteries, Jingjing Niu

Chulalongkorn University Theses and Dissertations (Chula ETD)

Aqueous zinc ion batteries, as a type of secondary battery using inorganic aqueous solution as the electrolyte, are considered to be a strong contender in the field of future energy storage technologies due to their high theoretical electric capacity, high safety, low cost and environmental friendliness. However, aqueous zinc ion batteries also face some challenges. The first is the relatively low energy density, which requires further optimisation of electrode materials and battery structure. Secondly, the creation of zinc dendrites can reduce the cycling stability and safety of the battery. In addition, prolonging the cycle life is also a pressing issue. …

Development Of Janus Membrane From Electrospun Nanofiber For Membrane Distillation Processes, Michaela Olisha Lobregas

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Janus membrane, characterized by surfaces with opposite wettability, represents an innovative design for membrane distillation (MD). This study introduces new methods for fabricating MD membranes with tailored surfaces to address fouling and wetting challenges in saline systems. A nanofibrous Janus membrane was developed, featuring an omniphobic substrate as the non-wetting layer and a hydrophilic top coating as the wetting layer. Using the dual-spinneret system for simultaneous electrospinning and electrospraying, a composite substrate membrane, comprising a loose network of PVDF nanofibers and PVDF-fluorinated TiO2 microclusters, was produced. This membrane exhibited high resistance to liquids, including water, glycerol, diiodomethane, and saline. …

Air Flow Behavior Assessment In Particulate Filtration Efficiency (Pfe) Tester Via Computational Fluid Dynamics (Cfd), Muhammad Amer

Chulalongkorn University Theses and Dissertations (Chula ETD)

Particulate Filtration Efficiency (PFE) assessment is critical for evaluating filter media. There are several PFE testing protocol depending on products and issuing countries, for example ASTM-F2299 standard for disposable medical masks, NIOSH-TEB-APR-STP-0059 for N and R series respirators, and ISO-29463 for HEPA filters. While the PFE testing principles of all standard are the same, their requirement, testing protocol and minute details are different. Air flow characteristic before and after filter media in testing chamber is very important to accuracy of PFE measurement, especially for ASTM F2299 standard. We have developed a custom PFE tester per ASTM F2299 using a simple …

Silica Dust Exposure Assessment Using Job-Exposure Matrix:A Case Of Sandstone Workers In Thailand, Chamaiphon Chari

Chulalongkorn University Theses and Dissertations (Chula ETD)

Respirable crystalline silica (RCS) has been classified as a human carcinogen by the International Agency for Research on Cancer (IARC). In Thailand, household sandstone workers were one of the most susceptible occupational groups to silicosis. However, a lack of current information about their work patterns and job-related exposures to respirable crystalline silica could hinder the success of tracking and surveillance programs. This study was conducted to explore working characteristics and patterns, and to evaluate the work diary data in the estimation of RCS exposure and health risk among household sandstone workers. All data were collected from a work diary record …

Measurement Of The Local Static Mechanical Pressure Of Earplugs, Luiz G.C. Melo, Ahmed S. Dalaq, Franck Sgard, Olivier Doutres, Laurianne Legroux, Eric Wagnac

Études primaires

Earplugs are used in various critical industrial sectors, such as construction, aviation, military and defense, transportation, and healthcare. However, they present inherent drawbacks, notably discomfort that can lead to inconsistent and incorrect use, thereby leaving a significant proportion of workers vulnerable to irreversible hearing damage, ranging from tinnitus to deafness. This discomfort is closely linked to a physical parameter known as static mechanical pressure (SMP), representing the pressure exerted by earplugs on the earcanal walls. Determining the SMP is crucial for developing earplugs that prioritize comfort. However, experimental studies in this area are scarce and there is no experimental set-up …

Ai And Ml-Based Risk Assessment Of Chemicals: Predicting Carcinogenic Risk From Chemical-Induced Genomic Instability, Ajay Vikram Singh, Preeti Bhardwaj, Peter Laux, Prachi Pradeep, Madleen Busse, Andreas Luch, Akihiko Hirose, Christopher J. Osgood, Michael W. Stacey

Biological Sciences Faculty Publications

Chemical risk assessment plays a pivotal role in safeguarding public health and environmental safety by evaluating the potential hazards and risks associated with chemical exposures. In recent years, the convergence of artificial intelligence (AI), machine learning (ML), and omics technologies has revolutionized the field of chemical risk assessment, offering new insights into toxicity mechanisms, predictive modeling, and risk management strategies. This perspective review explores the synergistic potential of AI/ML and omics in deciphering clastogen-induced genomic instability for carcinogenic risk prediction. We provide an overview of key findings, challenges, and opportunities in integrating AI/ML and omics technologies for chemical risk assessment, …

Reevaluating The Paradox: Does Low-Dose Radiation From A-Bombs Affect Lifespan And Cancer Mortality?, Razieh Rashidfar, Zeynab Seyedi Sarhad, Seyed Mohammad Javad Mortazavi, Lembit Sihver

Informatics and Engineering Systems Faculty Publications

No abstract provided.

Cooperative Trucks And Drones For Rural Last-Mile Delivery With Steep Roads, Jiuhong Xiao, Ying Li, Zhiguang Cao, Jianhua Xiao

Research Collection School Of Computing and Information Systems

The cooperative delivery of trucks and drones promises considerable advantages in delivery efficiency and environmental friendliness over pure fossil fuel fleets. As the prosperity of rural B2C e-commerce grows, this study intends to explore the prospect of this cooperation mode for rural last-mile delivery by developing a green vehicle routing problem with drones that considers the presence of steep roads (GVRPD-SR). Realistic energy consumption calculations for trucks and drones that both consider the impacts of general factors and steep roads are incorporated into the GVRPD-SR model, and the objective is to minimize the total energy consumption. To solve the proposed …

Insights Into The Heart Microstructure: A Case Study, Sarah Bulger

Honors Undergraduate Theses

This thesis focuses on better understanding the structures of the heart at the micro-scale. Cardiomyocytes and the branching of cardiomyocytes are of specific interest. A literature review was performed to extract key information on cardiomyocyte size, the branching type and frequency of cardiomyocytes, and cardiomyocytes' organization in general. The purpose of conducting the literature review was to find quantifiable data on the micro-structure of the heart. Three studies in particular provided data on the branching of cardiomyocytes. Two of these studies were conducted on rat hearts, while one other study was conducted on human hearts. The methods and terminology between …

Runtime Performance Of Gamess Quantum Chemistry Application Offloaded To Gpus, Masha Sosonkina, Gabriel Mateescu, Peng Xu, Tosaporn Sattasathuchana, Buu Pham, Mark S. Gordon, Sarom S. Leang

Electrical & Computer Engineering Faculty Publications

Computational chemistry is at the forefront of solving urgent societal problems, such as polymer upcycling and carbon capture. The complexity of modeling these processes at appropriate length and time scales is mainly manifested in the number and types of chemical species involved in the reactions and may require models of several thousand atoms and large basis sets to accurately capture the chemical complexity and heterogeneity in the physical and chemical processes. The quantum chemistry package General Atomic and Molecular Electronic Structure System (GAMESS) has a wide array of methods that can efficiently and accurately treat complex chemical systems. In this …

Immersive Virtual Labs For Enhancing In-Person And Online Education, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Electrical & Computer Engineering Faculty Publications

Labs play a critical role in science and engineering education, offering practical insights and hands-on experience to students that can't be achieved through theoretical learning alone. With the continuous advancement in technology, education is being reshaped and many universities are now offering online programs. This shift in educational paradigm offers students access to a wider range of academic resources, without being limited by geographical boundaries, time constraints, among others. However, the rise of online education also brings unique challenges, such as lack of face-to-face interaction and limited hands-on learning experiences. Virtual labs, which allow students to conduct experiments in a …

Visual Representation Based Creative Problem Solving (Cps) For Microelectronic Course, Gon Namkoong, Tian Luo

Electrical & Computer Engineering Faculty Publications

Microelectronic technologies become the basis for many modern revolutions and require technological innovation and creative transformation of new knowledge into products. This demands our engineering students to be more innovative and creative than ever. It also requires solid resources and strategies to cultivate higher-order thinking skills for engineering students. Presently, microelectronic course covers a wide range of topic areas, including basic semiconductor, pn junction diode, metal oxide semiconductor field effect transistor (MOSFET) and bipolar junction transistor (BJT) circuits. A traditional teaching strategy in a typical educational setting encompasses instructors delivering lectures to teach the basics and principles of microelectronic devices …

Transfer Learning For Field Emission Mitigation In Cebaf Srf Cavities, K. Ahammed, J. Li, A. Carpenter, C. Tennant, R. Suleiman

Electrical & Computer Engineering Faculty Publications

The Continuous Electron Beam Accelerator Facility (CEBAF) operates hundreds of superconducting radio frequency (SRF) cavities in its two linear accelerators (linacs). Field emission (FE) is an ongoing operational challenge in higher gradient SRF cavities. FE generates high levels of neutron and gamma radiation leading to damaged accelerator hardware and a radiation hazard environment. During machine development periods, we performed invasive gradient scans to record data capturing the relationship between cavity gradients and radiation levels measured throughout the linacs. However, the field emission environment at CEBAF varies considerably over time as the configuration of the radio-frequency (RF) gradients changes or due …

An Overview Of The Relationships Between The Food Industry And Nanotechnology, Mehdi Koushki, Nasrin Amiri-Dashatan, Hossein Pourghadamyari, Hadi Khodabandehloo, Fatemeh Bagheri, Masoumeh Farahani, Lobat Tayebi

Electrical & Computer Engineering Faculty Publications

Background and Objective: Due to the growth of the global population, food demands are increasing. Hence, the need to develop more efficient methods for producing better quality, safer, and more sustainable food seems essential. In the past decades, the use of nanoscale materials has increased greatly due to the unique chemical, physical, and biological characteristics of nanomaterials compared to bulk materials. This research presents nanotechnology role in improving sensorial properties (taste, appearance, and texture) and safety aspects as well as processing and packaging of foods. The use of nano-omics-based technologies and artificial intelligence-nanotechnology-based technologies in the food industry is also …

Predictive Modeling Of Healthcare Traffic Using Machine Learning: A Comparative Study, Shadman Mahmood Khan Pathan, Sakan Binte Imran, M. M. Shabab Iqbal, Muhammad Enayetur Rahman, Md Nurul Absar Siddiky, Muhammad Rezaur Rahman, Md. Rafid Hassan, Nondon Lal Dey, Md. Sobuj Hossain

Electrical & Computer Engineering Faculty Publications

Effective healthcare traffic management is critical for ensuring prompt medical services, particularly in emergencies where delays can have life-threatening consequences. This study conducts a comparative analysis of three popular machine learning models—Linear Regression, Decision Trees, and Random Forests—for predicting healthcare-related traffic volumes. Utilizing a comprehensive dataset from a metropolitan interstate traffic system, the models were evaluated based on key performance metrics, including Mean Squared Error (MSE), R² Score, and execution time. The findings demonstrate that the Random Forest model outperforms the others, offering superior predictive accuracy and efficiency. These insights are valuable for optimizing traffic management in healthcare, ultimately contributing …

From Carnival Games To Plastic Filters: Preparing Elementary Preservice Teachers To Teach Engineering, Jennifer Kidd, Pilar Pazos, Kristie Gutierrez, Danielle Rhemer, Stacie Ringleb, Krishna Kaipa, Isaac Kumi, Orlando Ayala, Francisco Cima

Teaching & Learning Faculty Publications

Preservice teachers (PSTs) in an educational foundations course were tasked with leading elementary students in an engineering design challenge. In order to explore different approaches for helping the PSTs develop competence in engineering education, two implementation methods were tested. In Spring 2022, PSTs collaborated with undergraduate engineering students to develop carnival-themed design challenge lessons. In Fall 2022, PSTs worked with their PST classmates to teach a professionally prepared engineering lesson focused on designing plastic filters. PSTs’ knowledge of engineering and engineering pedagogy were compared across the two semesters using an exploratory approach. Both groups showed increases in engineering knowledge and …

Structural And Magnetic Properties Of Molecular Beam Epitaxy (Mnsb2te4)X(Sb2te3)1−X Topological Materials With Exceedingly High Curie Temperature, Candice R. Forrester, Christophe Testelin, Kaushini Wickramasinghe, Ido Levy, Dominique Demaille, David Hrabovsky, Xiaxin Ding, Lisa Krusin-Elbaum, Gustavo Lopez, Maria C. Tamargo

Publications and Research

Tuning the properties of magnetic topological materials is of interest to realize exotic physical phenomena, new quantum phases and quasiparticles, and topological spintronic devices. However, current topological materials exhibit Curie temperature (T_C) values far below those needed for practical applications. In recent years, significant progress has been made to control and optimize T_C, particularly through defect-engineering of these structures. Most recently, we reported T_C values up to 80 K for (MnSb₂Te₄)_x(Sb₂Te₃)_1−x when 0.7 ≤ x ≤ 0.85 by controlling the composition x and the …

The Impact Of Ai In Gaming Industry, Huang Xiaorong

MA Theses

With the rapid development of artificial intelligence (AI) technology, the application
of AI art in game development is becoming increasingly popular. AI art can not only help game developers speed up the creative process but also improve the visual quality and user experience of games. This paper provides an overview of the application of AI art in games, including character design, scene generation, animation production, and more. It also discusses the challenges and future directions of AI art. Through comprehensive analysis of existing research and practices, we find that AI art has tremendous potential in game development but still faces …

Filling Time-Series Gaps Using Image Techniques: Multidimensional Context Autoencoder Approach For Building Energy Data Imputation, Chun Fu, Matias Quintana, Zoltan Nagy, Clayton Miller

Research Collection College of Integrative Studies

Building energy prediction and management has become increasingly important in recent decades, driven by the growth of Internet of Things (IoT) devices and the availability of more energy data. However, energy data is often collected from multiple sources and can be incomplete or inconsistent, which can hinder accurate predictions and management of energy systems and limit the usefulness of the data for decision-making and research. To address this issue, past studies have focused on imputing missing gaps in energy data, including random and continuous gaps. One of the main challenges in this area is the lack of validation on a …

A Precision-Controlled Investigation Into The Fundamentals Which Drive The Incredible Superhydrophobic Properties Of Soot, Ashton Bressler

Theses and Dissertations

A PRECISION-CONTROLLED INVESTIGATION INTO THE FUNDAMENTALS WHICH DRIVE THE INCREDIBLE SUPERHYDROPHOBIC PROPERTIES OF SOOT

By Ashton Bressler

A thesis submitted as a partial fulfilment of the Virginia Commonwealth University requirements for a Masters of Science at Virginia Commonwealth University.

Virginia Commonwealth University, 2024.

This thesis investigates a precision controlled superhydrophobic soot surface, composed of semi-rigid linked chains of spheres, with a radii of roughly 14um. These spheres have exceptionally useful hydrophobic properties due to; their large surface area, their large triple phase line length, their low area fraction of solid-liquid interface, their ability to deform, and their strength from both …

Extrusion-Based Additive Manufacturing Of Magnetic Heat Exchange Structures For Caloric Applications, Vaibhav Sharma

Theses and Dissertations

Currently, the commercial building sector accounts for 18% of total U.S. end-use energy consumption, of which almost a third was from on-site combustion of fossil fuels for space and water heating. Magnetic heat pumping (MHP) technology is an energy-efficient, sustainable, environmentally-friendly alternative to conventional vapor-compression cooling technology. Several MHP designs today are predicted to be highly energy efficient, on condition that suitable working materials can be developed. This materials challenge has proven to be daunting due to issues associated with intricate synthesis/post-processing protocols and complications related to shaping the mostly brittle magnetocaloric alloys into thin-walled channeled regenerator structures to facilitate …

The Sexually Dimorphic Role Of Connexin 43 In Bone Remodeling And Disuse-Induced Bone Loss, Gabriel A. Hoppock

Theses and Dissertations

Bone loss is frequently experienced by individuals undergoing long-term disuse, such as prolonged bedrest, immobilization due to paralysis or injury, and conditions such as spaceflight. Under normal physiological conditions, bone remodeling is balanced by bone-forming osteoblasts and bone-resorbing osteoclasts, and the activity of osteoblasts and osteoclasts is orchestrated by osteocytes. Osteocytes are the most abundant cell type found in bone and ample evidence suggests they are bone’s main mechanosensory cell type. Therefore, understanding osteocyte biology and responses to mechanical signals, or lack thereof during unloading, may lead to new therapeutic targets to combat bone loss during disuse. Previous data has …

Few-Shot Learning For Ner Using Maml, Nourchene Bargaoui

Theses and Dissertations

This thesis investigates the application of Few-Shot Learning (FSL) using Model-Agnostic Meta-Learning (MAML) to enhance Named Entity Recognition (NER) within the domain of Natural Language Processing (NLP), specifically focusing on chemical datasets. The primary challenge addressed is the impracticality of relying on extensive annotated datasets, especially in specialized fields like chemistry. The research primarily explores the concept of Few-Shot Learning, aiming to train models on minimal data while maintaining performance across diverse tasks. It delves into the N-way K-shot methodology, where "N" represents the number of classes and "K" signifies the number of examples per class. This approach is further …

Levofloxacin Incorporated Extracellular Matrix Nanoparticles For Pulmonary Cystic Fibrosis Infections, Raahi Patel

Theses and Dissertations

Cystic fibrosis (CF) is a progressive genetic disorder that affects around 40,000 people in the United States. CF is characterized by a mutation in the CFTR protein that causes dysregulated ion transport across epithelial cells, producing viscous mucus in the lung that increases bacterial invasion, causing persistent infections and subsequent inflammation. Pseudomonas aeruginosa and Staphylococcus aureus are two of the most common infections in CF patients that are resistant to antibiotics. One antibiotic approved to treat these infections is levofloxacin (LVX) that functions to inhibit bacterial replication, but can be further developed into tailorable particles. Nanoparticles are an emerging inhaled …

Modeling Of Macroscopic Melt Splashing On Beryllium First Wall Panels Of Fusion Tokamaks Under Off-Normal Events, Cheng Zhang

Theses and Dissertations

Beryllium (Be) is a material which is used as a plasma facing component in tokamak reactors due to its unique properties of high thermal conductivity, low density, and high strength. However, under extreme conditions of high temperature and pressure, Be can melt on the surface of armor tiles and molten droplets can be ejected into the reactor chamber leading to disruption of fusion plasma. The variations of pressure, mass density, velocity, and temperature of Be vapor on the surface of melt layer as well as magnetic field strength and direction can influence the splashing of Be melt and their effects …

Modeling The Radiation Shielding Effectiveness Of Hafnium Diboride Reinforced Epoxy Composites Using Mcnp, Randolph Snook

Theses and Dissertations

This thesis uses MCNP simulations to evaluate the performance of a radiation shielding material consisting of Hafnium Diboride (HfB₂) powder in an epoxy matrix. Comparing the results to previously measured data against both gamma and neutron sources, suitability for other applications can be confirmed. The model simulated the epoxy material with different weight percentages of HfB₂ and thicknesses. It was compared to other shielding materials such as pure epoxy and 5% Borated High Density Polyethylene (HDPE-B). The HfB₂-epoxy composite was tested against a wide energy range gamma spectrum from a ¹⁵²Eu source, and neutrons …

Exploring End-User Environments For The Control And Programming Of Collaborative Robots, Luiz Felipe Fronchetti Dias

Theses and Dissertations

To collaborate with the ongoing development of robotics, this thesis highlights three research contributions to collaborative robot programming. The first study evaluates block-based programming as an alternative for two-armed robots. A commercial solution is put in contrast with a block-based programming language. Both programming solutions are evaluated by 52 participants in an experiment involving a pick-and-place task. This study brings insights into human-robot collaboration, including robot positioning and interaction challenges. The second study discusses using mixed-reality devices as a potential workaround to the manual positioning of industrial and collaborative robots. Five different control interfaces implemented in mixed reality were used …

The Regulation Of Laryngeal Cancer Cell Phenotype And Proliferation By 24r,25-Dihydroxyvitamin D3 Is Correlated With Erα Isoform Expression, Cydney Dennis

Theses and Dissertations

Laryngeal cancer is the most common type of head and neck cancer and is associated with poor prognosis due to common delayed diagnoses. The sex disparities associated with laryngeal cancer are constantly growing, as the risk of malignancy in males is continually increasing compared to women. Due to the high chance of late-stage diagnosis requiring aggressive treatments, there is a high demand for less aggressive treatment options and early-stage diagnostic markers. The apparent sex disposition of the larynx, the correlation between sex hormones, and the risk of malignancy in aging men suggest that estrogen may play a role in laryngeal …