Physical Sciences and Mathematics Commons^™

Barriers To Smart Irrigation Technologies Adoption In The Thailand Agricultural Sector, Mahroo Aghaabbasi

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study identifies the barriers hindering the adoption of smart irrigation technologies in the Thai agricultural sector. Utilizing three categories: innovation characteristics derived from the Diffusion of Innovation theory, innovation determinants, and the consequences of agricultural digitalization derived from the literature reviews, this research conducts a mixed method, including qualitative and quantitative approaches through surveys of 210 farmers and interviews with 2 non-adopter farmers, 2 adopter farmers, 3 institutional experts, 2 technology providers, and 2 NGO and farmer organization specialists. The quantitative analysis reveals that financial, informational, institutional, and technological barriers, including high installation and maintenance costs, lack of knowledge, …

Assessing The Socioeconomic Impacts Of Solar Irrigation In Myanmar: A Case Study Of Smallholder Farmers, May Thi Thi Moe

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study addresses the critical challenge of enhancing agricultural sustainability in Myanmar’s Central Dry Zone (CDZ), a region characterized by water scarcity and a high reliance on costly diesel irrigation. To address the knowledge gap on the localized impacts of solar-powered irrigation systems (SPIS), this research assesses their socioeconomic benefits and adoption barriers among smallholder farmers in Pyawbwe Township. Guided by a revitalized 21st-Century Sustainable Livelihoods Framework, the study employed a qualitative design, conducting in-depth interviews with 27 farmers and four experts. Data were analyzed using thematic analysis, complemented by economic calculations (ROI, PBP, NPV) to provide robust evidence of …

Optimization Of Process Parameters For Carbon Dioxide Capture With K2co3/Al2o3 Solid Sorbent In Internally Circulating Fluidized Bed Using Computational Fluid Dynamics, Kaung Sat Han -

Chulalongkorn University Theses and Dissertations (Chula ETD)

Global carbon dioxide emissions from fossil fuels and industry totaled 37.15 billion metric tons in 2022. Therefore, it is a priority to consider a method or a solution for reducing CO2 emission while the global energy sector is still dependent on hydrocarbon fuels. Among carbon capturing concepts, there are a lot of recent studies on the application of reversible gas-solid adsorption of CO2 on K2CO3/Al2O3 with reliable efficiency and reusability. The adsorption and desorption capacities of the sorbent are influenced by the operation parameters such as temperature, pressure, water vapor and flow patterns. Computational fluid dynamics software (CFD), which is …

Effects Of An Electrokinetic Barrier To Inhibit Heavy Metal Absorption In Rhizophora Mucronata Seedlings, Ivan Deleon De La Grange

Chulalongkorn University Theses and Dissertations (Chula ETD)

Developing an electrokinetic (EK) barrier to hinder mangrove seedlings from heavy metal (HM) absorption is a novel technology for conducting mangrove reforestation within contaminated environments. The objectives of this study were (1) to investigate mangrove seedlings in a saltwater environment under the presence of a micro-electric field with HM exposure, and (2) Discover the effects of HM exposure on the morphological changes of the seedlings in accordance with time. The experiment consisted of Rhizophora mucronata plants grown in a brackish hydroponic solution (HS) and analyzed for HM absorption and morphological changes over a period of four days as young seedlings …

Effects Of Water Chemistry On Interaction Between Organic Contaminants And Microplastics And Their Passage In Microfiltration Membrane, Chutiporn Inchana

Chulalongkorn University Theses and Dissertations (Chula ETD)

The agricultural activity is a critical source of organic contaminants and microplastics (MPs). Typically, the agricultural soil is contaminated by an abundance of MPs, leaching chemicals during weathering process, and pesticides, which subsequently end up in surface water through agricultural runoff. Polymers that are most frequently used in crop production and detected in surface water are PE and PET MPs. Bisphenol (A) and atrazine are frequently detected in surface water. Nevertheless, the fate and distribution of organic pollutants in water treatment as a consequent on MP-aided transport is constrained by little knowledge on photoaged PE and PET MPs. In this …

Effects Of Fertilizers Usage In Conventional And Organic Cocoa Plantation In Thailand, Rusali Agrawal

Chulalongkorn University Theses and Dissertations (Chula ETD)

This paper explores the effects of conventional and organic farming practices on crops with similar cultivation methods, focusing on cocoa plantations in Thailand. Through a comprehensive review of literature and life cycle assessment (LCA) studies, this research investigates the carbon emissions from different agricultural systems and provides insights into sustainable farming practices. The study aims to elucidate the environmental consequences of conventional farming methods, including the heavy reliance on synthetic fertilizers and pesticides, and benefits of transitioning to an organic heavy farming method.The analysis begins with an overview of conventional farming methods, highlighting their historical evolution and widespread adoption in …

Development Of A Forest Fire Detection Device Based On Agent-Based Simulation, Teerapat Tappanom

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study had three main objectives: to identify the factors influencing forest fire spread, to design and develop a forest fire spread model, and to design and develop a forest fire detection device. The researcher utilized scatter plots, correlation analysis, and multiple linear regression analysis based on climatic data collected from the Chiang Mai Meteorological Station between 1998 and 2021 to investigate the parameters affecting fire spread. A forest fire spread model was developed using an Agent-Based Model (ABM) in AnyLogic 8.8.3 Personal Learning Edition to estimate the burned area under different scenarios with wind directions set to the north …

Assessing Low Carbon Practices Of Thai Sugarcane Cultivation, Sahajanee Thaisonthi

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research provides a comprehensive analysis of strategies to reduce greenhouse gas (GHG) emissions in Thailand’s sugarcane farming sector through policy scenario planning. Using scenario analysis, the study evaluates potential developments and informs adaptive policy frameworks to enhance the sector's sustainability and resilience. It assesses GHG emissions across Thailand's agricultural sector using data from government reports, academic studies, and industry sources. A structured life cycle framework was applied, focusing on soil preparation, plantation, maintenance, and harvesting stages. Key findings identified the “Clear Sky” scenario as the most promising for emission reduction, proposing policies such as full financial support for low-carbon …

Environmental Impact Of Aluminium Industry Waste Management In Thailand Using Life Cycle Assessment (Lca), Pimchanok Kumnoonsate

Chulalongkorn University Theses and Dissertations (Chula ETD)

The aluminium industry plays a crucial role in Thailand's economy with numerous studies exploring its various facets. While the environmental impacts of aluminum production have been extensively researched, this study focuses on the industry's waste management practices, utilizing data from 2017 to 2020 that provided the most comprehensive dataset available for analyzing waste generation and disposal methods. Employing material flow analysis (MFA) through STAN, the study examined waste disposal options in accordance with regulations of the Ministry of Industry of Thailand. Results indicated that 48.14% of waste from the aluminium industry was recycled (method 04), followed by sorting 41.71% and …

Stakeholder Information Interdependence Mapping For Area-Business Continuity Management: A Case Study Of Flood In Industrial Areas In Thailand, Penpitcha Arayachookiat

Chulalongkorn University Theses and Dissertations (Chula ETD)

The great flood of 2011 in Thailand significantly disrupted supply chains and caused substantial economic damage. The concept of Area-Business Continuity Management (Area-BCM) was developed. This concept aims to enable vulnerable areas to maintain operations during crises. This research focuses on understanding the information interdependence among stakeholders involved in Area-BCM. Its objective is to develop an information interdependence map for Area-BCM, using a case study of flood events in three industrial areas in Phra Nakhon Si Ayutthaya Province. The study employed a qualitative research approach, collecting and analyzing data through in-depth interviews with various stakeholders. The data analyzed was then …

Federated Learning: Overview, Strategies, Applications, Tools And Future Directions, Betul Yurdem, Murat Kuzlu, Mehmet Kemal Gullu, Maliha Tabassum

Engineering Technology Faculty Publications

Federated learning (FL) is a distributed machine learning process, which allows multiple nodes to work together to train a shared model without exchanging raw data. It offers several key advantages, such as data privacy, security, efficiency, and scalability, by keeping data local and only exchanging model updates through the communication network. This review paper provides a comprehensive overview of federated learning, including its principles, strategies, applications, and tools along with opportunities, challenges, and future research directions. The findings of this paper emphasize that federated learning strategies can significantly help overcome privacy and confidentiality concerns, particularly for high-risk applications.

Investigation Of Charge Density Waves And Layer Stacking In Niobium Ditelluride, Gavin J. Smith

Honors Theses and Capstones

NbTe₂ is a layered transition metal dichalcogenide which exhibits charge density waves (CDWs) and superconductivity in the bulk. Previous scanning tunneling microscopy and spectroscopy experiments suggested that Fermi-surface nesting and reciprocal lattice reconstruction are important in the formation of CDWs in NbTe₂. These experiments focused on spectroscopy of pristine regions. We will present low temperature scanning tunneling spectroscopy experiments examining the 3x1 CDW in NbTe₂ at 10K. We found a crystalline step and multiple neighboring 60º and 120º CDW domain boundaries. We examined the electronic structure across these domain boundaries and in neighboring domains using scanning …

Global Analysis Of The Neutron Magnetic Form Factor, Joseph P. Jayne

Honors Theses and Capstones

Protons and neutrons, the nucleons, are made up of smaller particles called quarks. Nucleons have three valence quarks, which are the dominant contributors to its properties, as well as sea quarks (quark-antiquark pairs) and gluons. The distribution of the charge and magnetization of these particles is described by the electric and magnetic form factors. These form factors can be measured with scattering experiments since they directly affect the particle’s cross section. Neutron form factors are challenging to measure because a pure neutron target will decay very fast and is not viable for experiments. Instead, targets like 2H and 3H are …

Actionpoint: An App To Combat Cyberbullying Via The Strengthening Of Parent-Teen Relationships, Maddie Juarez, Natali Barragan, Deborah Hall, George K. Thiruvathukal, Yasin N. Silva

Computer Science: Faculty Publications and Other Works

Due to the increased prevalence of cyberbullying and the detrimental impact it can have on adolescents, there is a critical need for tools to help combat cyberbullying. This paper introduces the ActionPoint app, a mobile application based on empirical work highlighting the importance of strong parent-teen relationships for reducing cyberbullying risk. The app is designed to help families improve their communication skills, set healthy boundaries for social media use, identify instances of cyberbullying and cyberbullying risk, and, ultimately, decrease the negative outcomes associated with cyberbullying. The app guides parents and teens through a series of interactive modules that engage them …

Judging Our New Judges: Why We Must Remove Artificial Intelligence From Our Courtrooms Now, Kieran Duffy Newcomb

Honors Theses and Capstones

In this paper, I explore some of the ways in which artificial intelligence might enhance the sentencing process through recidivism prediction technology. Notably, this technology can increase the accuracy of risk predictions and the speed with which sentencing decisions are reached. I then show, however, that the recidivism prediction technology is likely to turn into what data scientist Cathy O’Neil calls a Weapon of Math Destruction. The potential harmfulness of this technology is due not to the inherent nature of the technology, but the symbiotic relationship it will have with our already harmful criminal justice system. I argue that the …

Creating A Positive Learning Environment: Preliminary Results, Kien H. Lim, Hilda Y. Sotelo

Departmental Papers (Math)

No abstract provided.

"Ai's Pompous Vocabulary Sounds Like It's Trying To Impress Someone": Preservice Teachers' Respond To Ai Reviews Of Their Writing, Jennifer Kidd, Keri Parker, Samantha Myers

Teaching & Learning Faculty Publications

This study examines pre-service teachers’ (PSTs’) responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. Afterward, they reflected on the pros and cons of using AI in this way. While some PSTs initially encountered functionality issues, all were able to obtain feedback and the majority reported finding it useful. In general, the PSTs appreciated AI’s speed and expertise and the potential to customize feedback based on their needs. However, many were skeptical of AI’s evaluation of their …

A Secure And Privacy-Preserving Signature Protocol Using Quantum Teleportation In Metaverse Environment, Pankaj Kumar, Vivek Bharmaik, Sunil Prajapat, Garima Thakur, Ashok Kumar Das, Sachin Shetty, Joel J. P. C. Rodrigues

VMASC Publications

The burgeoning concept of the metaverse as an interconnected virtual space represents the forefront of the next-generation internet. Quantum teleportation, known for its prowess in ensuring secure and reliable communications, stands poised to revolutionize interactions within this immersive digital realm. In this context, we propose a comprehensive interaction protocol tailored for the metaverse environment. The designed protocol entails two fundamental components: first, the interaction between a user and their avatar, facilitated by a secure seven-qubit entangled state; and second, the interaction between two avatars, enabled through an efficient two-qubit entangled state. To fortify the protocol’s resilience, quantum key distribution (QKD) …

Classification Of Instructional Activities In Classroom Videos Using Neural Networks, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton

VMASC Publications

Classroom videos have become an integral part of classroom observation and instructional quality studies. Researchers encounter substantial financial and time-consuming costs gathering trained personnel to catalogue and analyze a large quantity (i.e., hundreds of hours) of classroom videos. In this chapter, we argue that deep-learning neural networks have potential to help with these tasks by detecting features of instruction in videos. We evaluated the performance of three neural networks in detecting instructional activities in classroom videos. The video dataset included a total of forty-six hours, which was evenly split between elementary mathematics and English language arts lesson recordings. Results showed …

A Benchmark Framework For Data Visualization And Explainable Ai (Xai), Murat Kuzlu, Gokcen Ozdemir, Umut Ozdemir

Engineering Technology Faculty Publications

This research introduces a benchmark framework, called EDUMX, designed for machine learning (ML)- based forecasting and XAI tasks, leveraging the Streamlit open-source Python library. The framework offers a comprehensive suite of functionalities, including data loading, feature selection, relationship analysis, data preprocessing, model selection, metric evaluation, training, and real-time monitoring. Users can easily upload data in diverse formats, explore relationships between variables, preprocess data using various techniques, and assess the performance of the ML model using customizable metrics. With its user-friendly interface, this framework offers invaluable insights for forecasting tasks in various domains, catering to the evolving needs of predictive analytics. …

Investigating The Roles Of Plants, Fungi, And Biocrusts In Nutrient Movement Within Dryland Ecosystems, Catherine E. Cort

Open Access Theses & Dissertations

In dryland ecosystems, plant productivity and microbial decomposition are often separated in space and time due to the asynchronous availability of soil moisture and organic matter inputs. It has been proposed that fungi play a key functional role in connecting these cycles by facilitating movement of water, carbon (C), and nitrogen (N) through a network of shared hyphae between plant roots and biological soil crust (biocrust) communities at the soil surface. This connection, also known as the â??fungal loop,â?? effectively re-couples processes of nutrient release and uptake between primary producers and minimizes ecosystem N losses due to leaching, erosion, and …

Compton Scattering Of Mammographic Soft X-Ray Beams By Alkali And Transition Metal Salt Filters Produce X-Ray Interference Zones That May Have Treatment Potential For Localized Cancer Lesions, Subhendra N. Sarkar, Eric Lobel, Sabina Rakhmatova, Derbie Desir, Somdat Kissoon, Daler Djuraev, Katie Tam

Publications and Research

In breast x-ray imaging scattered radiation adds 50% of harmful radiation dose from anisotropic Compton scattering mechanism. We have been working with double layered inorganic salt materials that can induce Compton scattering to the incident mammographic x ray beams (in 20-30 kVp range) with adequate isotropy (angular control). Typically metal nitrates and alkali halide salt layers are shown here to cause low energy radiation interference zones with high and low photon intensities and local flux heterogeneity in terms of flux covariance. Spatial variation of low energy photon flux creates concentrated and sparse radiation zones that may be used to induce …

Momentech - Modern Explorations Of The Impulse-Momentum Theorem, Todd Gelbord

Publications and Research

Herein we outline the design and construction of an instructional laboratory demonstration of the conservation of linear momentum, by way of the Impulse-Momentum Theorem, utilizing small, commercially available accelerometers attached to microcontrollers. The set-up is equipped with small, OLED screens which are able to display real-time acceleration graphs. Furthermore, a template for an experiment involving this set-up is provided. We also explore various data analysis options for different levels of student sophistication.

Circular Economy: The 4rs Reduce-Reuse-Recycle-Recover, Kevin Hom

Publications and Research

This article summarizes the lecture presented at the Net Built 2024 conference. The lecture addresses the unsustainability of the current linear economy, characterized by the "take, make, dispose" model, in light of environmental challenges. The inefficiencies of this system lead to increased energy consumption, elevated CO2 emissions, and the exacerbation of climate change. It examines the current state of design and construction with respect to climate change and sustainable resource management. Additionally, the lecture introduces a methodology that integrates technologies and design philosophies capable of driving significant positive change. By advocating for a transformative approach to the expected lifetime of …

Threading Unity Throughout Itaa: A Collaboration Of Fashion Academics Across Content Threading Unity: Apparel, Marketing, Beauty And Interior Design Within The Fashion Industry, Alyssa Dana Adomaitis, Carter Gabriel Averbeck, Kendel Bolton, Denise Sutton

Publications and Research

Sustainability has been an academic research topic of late that impacts more than just the fashion industry for apparel. Besides the apparel industry, marketing, beauty, and interior design are aware of the promise of sustainability for both the environment and consumers. Sustainability reduces its environmental impacts of pollutants such as carbon footprints and unsold inventory, protecting workers who create garments, and animal welfare (Biela-Weyenberg, 2023) which can impact the supply chain. “The United Nations established the UN Alliance for Sustainable Fashion in 2019 to hold fashion brands to a higher standard to create environmentally friendly apparel” (2023, p.1). Through modern …

‘I Know It When I See It’– Developing Quality Schedules Considering Subjective Or Unspecified Criteria, Douglas L. Moody

Publications and Research

Most timetabling problems have a given objective function to measure the quality of a solution. However, users may have a “I know it when I see it” recognition of a quality schedule, without specifying the complete basis for their judgment. In this situation, the objective function cannot be exclusively used as a solution quality measurement. This work presents an AI based approach to aid in categorizing the solution’s quality when the users have not explicitly defined all factors used in their criteria.

Estimating Soil Texture By Hand, Department Of Primary Industries And Regional Development, Western Australia

Natural resources factsheets

Estimating or measuring soil texture provides valuable information about soil properties affecting crop and pasture growth. Soil texture affects the movement and availability of air, nutrients, and water in soil. A simple and quick measure of soil texture is the way a soil feels when manipulated by hand.

The department recommends laboratory testing of soil texture (and other factors) for all critical soil uses, including farm dam construction and claying.

Agricultural Groundcover Update December 2023, Justin Laycock

Natural resources published reports

Summary

• About 96% of the grainbelt had adequate vegetative groundcover (more than 50%) to prevent wind erosion in December 2023.
• In the northern half of the grainbelt, a larger-than-average area has 51–60% groundcover, which is expected to decrease to below 50% over the summer.
• Just under 4% of the grainbelt (553,000 ha) had less than 50% groundcover, which is inadequate to prevent wind erosion. West Midlands Ag Soil Zone had the highest risk of wind erosion and 11.4% of this farmland had inadequate groundcover.
• Less than 0.5% of the grainbelt had a high to very high risk of wind erosion …

Carbon Neutral By 2030 - Katanning Research Station, Department Of Primary Industries And Regional Development, Western Australia

Climate Science Published Reports

The Department of Primary Industries and Regional Development's (DPIRD) Katanning Research Station (KRS) is developing practical techniques and methods for mitigating carbon emissions from the livestock industry.

This research will help the livestock industry in Western Australia (WA) access anticipated future markets for carbon neutral food and fibre products.

Towards A Transparency-Based, Value-Sensitive Design Solution For Bias In Self-Driving Cars: An Ethical Violation Assessment And Risk Analysis Framework On Consumer-Held Values, Nada Ahmad Madkour

Master's Theses and Doctoral Dissertations

Background: The rapid growth of automated systems and artificial intelligence (AI), particularly, self-driving cars (SDCs), has attracted significant investments and can potentially contribute to humanity’s flourishing. However, before widespread adoption, it is important to address ethical violations such as bias in AI, highlighted by many real-world cases of bias in AI leading to unfair outcomes in tools like facial recognition, hiring software, and pedestrian detection. Bias in AI can lead to potentially fatal outcomes in SDCs, emphasizing the need for a thorough examination of bias in SDCs.

Purpose: To enhance AI ethics by providing tools to support transparency and value- …