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Scene Cut Detection In Short Videos Using Pre-Processing Techniques And Convolutional Neural Networks, Nina Lawankowit
Scene Cut Detection In Short Videos Using Pre-Processing Techniques And Convolutional Neural Networks, Nina Lawankowit
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study presents a comprehensive approach to scene cut detection in videos using a combination of frame extraction and a Convolutional Neural Network (VGG16 model) with a Color Histogram method to prevent raw video file reconstruction. The main dataset contains 167,490 frames collected from various users on TikTok for the scene cut detection model development. However, since this research utilizes a modular design that consists of data preparation, data pre-processing, and model implementation stages, it promotes efficient use of resources and guarantees data safety. The results demonstrate that the model performs excellently in recognizing scene cuts. Specifically, video frames with …
Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill, Panuwat Koonmee
Risk Assessment Of Microplastics Contamination In Soil And Leachate From Different Ages Of Landfill, Panuwat Koonmee
Chulalongkorn University Theses and Dissertations (Chula ETD)
Landfills were used for the disposal of waste materials, but they could contribute to microplastic (MP) pollution. MPs waste had been released in landfills into the surrounding environment, contaminating soil and leachate collection pond. Although there were many reports that MPs could generate in leachate and soil samples from the landfill, it exists many blanks for the evolution of physical and chemical characteristics of MPs with different landfill age. In order to address the question of changing in the abundances and characteristics of MPs in different ages of landfill as potential sources of contamination and the efficacy of existing landfill …
Tone Mapping Operator Based On Just Noticeable Difference Of Luminance, Kasidet Kanthong
Tone Mapping Operator Based On Just Noticeable Difference Of Luminance, Kasidet Kanthong
Chulalongkorn University Theses and Dissertations (Chula ETD)
A Tone Mapping Operator (TMO) is required to display High Dynamic Range (HDR) images on conventional displays. This thesis proposes a TMO that employs a quantization technique integrated with a Just Noticeable Difference (JND) model, which represents the human visual system's capability to discern variations in brightness. The performance of the proposed algorithm is evaluated by comparing it with that of five state-of-the-art TMOs. The evaluation is divided into two manners. First is an objective evaluation with the Tone Mapping Quality Index (TMQI) method, conducted with two HDR datasets: Reinhard including nine scenes, and Funt including 224 scenes. TMQI revealed …
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut
Relationship Between Microbial And Chemical Risk After Chlorination Of Domestic Wastewater For Discharge And Reclamation, Rotsathon Plumsut
Chulalongkorn University Theses and Dissertations (Chula ETD)
Disinfection is crucial for protecting public health during wastewater reuse. Chlorination is a widely used disinfection method, but it also leads to the formation of disinfection byproducts (DBPs), which can pose environmental and health risks. Among these DBPs, haloacetonitriles (HANs), particularly dichloroacetonitrile (DCAN), are of significant concern due to their toxicity. This research investigated the relationship between microbiological and chemical risks associated with chlorination in secondary and tertiary wastewater treatment plants (WWTPs) in Bangkok. The study found that secondary wastewater (9.0-14.0 mg/L) required up to 10 times higher initial chlorine levels to achieve the same norovirus reduction levels (3-5 log …
Extraction Of Lipid And Polysaccharides From Rambutan Seed Waste By Supercritical Carbon Dioxide And Subcritical Water, Kamonthip Nilmat
Extraction Of Lipid And Polysaccharides From Rambutan Seed Waste By Supercritical Carbon Dioxide And Subcritical Water, Kamonthip Nilmat
Chulalongkorn University Theses and Dissertations (Chula ETD)
The rambutan processing industry generates around 37,000–42,000 tons of seed waste each year, which holds potential for sustainable utilization. This study investigates the extraction of lipids and polysaccharides from rambutan seeds using green extraction technologies. Initial analysis revealed that rambutan seeds contain lipids 30.48%, lipids, 11.9%, carbohydrates 42%, fiber 6.6%, and ash 1.72%. Lipid extraction using supercritical CO2 with ethanol (SCCO2-EtOH) achieved higher phenolic content and antioxidant activity compared to Soxhlet extraction. After that, the defatted rambutan seeds underwent additional processing to extract polysaccharides by subcritical water extraction (SWE) and hot water extraction (HWE). Supercritical water extraction (SWE) at ideal …
Enhancing Financial Market Predictions In Taiwan: A Hybrid Approach Of Traditional Analysis And Machine Learning Techniques, Tse Lin Liu
Chulalongkorn University Theses and Dissertations (Chula ETD)
In the evolving landscape of financial markets, this study explores the predictive power of traditional panel regression and modern machine learning models, including Long Short-Term Memory (LSTM), Support Vector Machine (SVM), and Random Forest (RF), in forecasting stock returns in the Taiwanese market. Utilizing a dataset of 54 Taiwanese companies from 2015 to 2023, the research integrates financial ratios and machine learning algorithms to assess their effectiveness in predicting market trends. The findings reveal that traditional panel regression often outperforms machine learning models in terms of stability and consistency of returns, challenging the assumption that complex algorithms inherently provide superior …
Egg Shape As A Generalized Radial Basis Function For Discard-After-Learn Method In Streaming Data, Warawut Nualplaud
Egg Shape As A Generalized Radial Basis Function For Discard-After-Learn Method In Streaming Data, Warawut Nualplaud
Chulalongkorn University Theses and Dissertations (Chula ETD)
Radial Basis Function is commonly used as the decision boundaries for supervised and unsupervised learning algorithms due to its simplicity. But the symmetric property of the circular or elliptic shapes could deteriorate the fitness of the boundaries when the distribution of the data is asymmetric, especially in the data stream processing where the distribution of the data is temporal.In this thesis, we propose a new 2-dimensional data capsule structure using Yamamoto’s egg function. This structure can adjust its shape to be symmetric (i.e., circular or elliptic) or asymmetric (i.e., egg-shaped) depending on the configuration of its parameters, allowing it to …
Weight Shifting Based Pruning For Convolutional Neural Networks, Panuwat Threethanuchai
Weight Shifting Based Pruning For Convolutional Neural Networks, Panuwat Threethanuchai
Chulalongkorn University Theses and Dissertations (Chula ETD)
The paper presents an adaptation of the novel self-recovering technique known as weight shifting for application in the pruning of nodes from the fully-connected layers of convolutional neural networks. The proposed methodology involves a binary search strategy to identify the optimal subset of nodes for removal, facilitating efficient redistribution of node weights using the Moore-Penrose pseudo-inverse. The proposed methodology was evaluated by across multiple data sets, including CIFAR-100, Food101, Stanford Cars, and Flowers102. The experimental results demonstrated that the proposed methodology is able to maintain high accuracy and top-k categorical accuracy performance with minimal reductions even after pruning a significant …
Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit
Development Of Dihydropyridine Fluorescent Probe For Caspase Detection, Kittiporn Nakprasit
Chulalongkorn University Theses and Dissertations (Chula ETD)
This research aims to expand the application of DHP in biological systems by employing it as a biosensor for detecting caspases, a family of protease enzymes linked to diseases like cancer and neurodegenerative disorders. In this study, DHP derivatives—BZD, Fmoc-Asp-NH-DHP, and zWEHD-NH-DHP—were synthesized and tested for their potential as protease sensors. Initial screening of BZD and Fmoc-Asp-NH-DHP with common proteases, including papain and bromelain, revealed no enzymatic activity. To facilitate in vitro analysis, caspase-1 enzyme was successfully purified using an E. coli BL21(DE3)pLysS expression system. Kinetic evaluation of zWEHD-NH-DHP demonstrated a Km value of 24 µM, confirming its potential as …
Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana
Spatial Data Analysis For Household Income And Expenditure In Thailand, Jirayut Rattana
Chulalongkorn University Theses and Dissertations (Chula ETD)
Poverty has been a serious problem for many countries throughout the world, particularly during the COVID-19 pandemic. Due to the pandemic, many people lost their jobs and encountered economic. Therefore, the government and policy planners need an effective strategy to improve the country's economy. An essential component of these strategies involves analyzing socio-economic indicators, a field extensively explored by statisticians, economists, and policymakers. In Thailand, methodologies such as the World Bank method, Empirical Bayes, and Hierarchical Bayes have been applied to tackle poverty. However, these approaches often overlook the integration of spatial information in their analyses. In this study, we …
Flavor Extraction From Dried Lavender Flower Lavandula Angustifolia By Enfleurage Method And Its Application In Pasteurized Milk, Techin Chantarachai
Flavor Extraction From Dried Lavender Flower Lavandula Angustifolia By Enfleurage Method And Its Application In Pasteurized Milk, Techin Chantarachai
Chulalongkorn University Theses and Dissertations (Chula ETD)
Enfleurage is a technique that uses fat or oil as an adsorbent to extract essential oils and aromas from flowers. In this study, butter was used to adsorb the aroma from dried lavender flowers (Lavandula angustifolia). The aim of the study was to determine the optimal conditions for extracting the aroma from lavender flowers using the response surface methodology (RSM). The effects of temperature (40–65°C), extraction time (20–70 min), and the ratio of dried lavender flowers (15–27.6 g) to butter (200 g) on the linalool content and aroma liking scores were investigated. The study found that the optimal conditions were …
Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod
Magnetic Particles With Molecularly Imprinted Polymer For Aflatoxin Adsorption In Food, Wanrasa Bilhod
Chulalongkorn University Theses and Dissertations (Chula ETD)
Aflatoxins (AF) are harmful carcinogens found in feeds and foods. Aflatoxin B1, the most known natural carcinogen, was classified as a Group I carcinogen by the International Agency for Research on Cancer (IARC). To respond to this problem, molecularly imprinted polymers coated on Fe3O4 nanoparticles (Fe3O4@MIP) were synthesized by polymerization method using 5,7-dimethoxycoumarin (DMC) as the template and methacrylic acid (MAA) as the functional monomer. Fe3O4 magnetic nanoparticles were used as a core structure to enhance recycling performance. After the removal of the template, Fe3O4@MIP composites were characterized using x-ray powder diffraction spectroscopy (XRD), Fourier transform infrared spectroscopy (FTIR), vibrating …
System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako
System Of Stochastic Grey Differential Equations With Singular Spectrum Analysis For Precious Metal Prices Forecasting, Rammarat Panadsako
Chulalongkorn University Theses and Dissertations (Chula ETD)
โลหะมีค่าเป็นกลุ่มโลหะที่มีมูลค่าทางเศรษฐกิจสูงกว่าโลหะทั่วไป ดังนั้นการพยากรณ์ราคาของโลหะมีค่าจึงเป็นหนึ่งปัญหาที่น่าสนใจ ซึ่งการพยากรณ์ราคาของโลหะมีค่ามีหลากหลายวิธี โดยวิทยานิพนธ์ฉบับนี้มีจุดประสงค์เพื่อพัฒนาระบบสมการเชิงอนุพันธ์เกรย์สโตแคสติกกับการวิเคราะห์สเปกตรัมเอกฐาน (SGDE+SSA) ในการพยากรณ์ราคาของทองคำ เงิน แพลทินัม และแพลเลเดียม ในขั้นตอนแรกจะทำการสร้างแบบจำลอง SGDE+SSA แบบหนึ่งมิติ เพื่อพยากรณ์ราคาของโลหะมีค่าทั้งสี่ชนิดโดยไม่พิจารณาค่าสหสัมพันธ์ของโลหะเหล่านี้ แต่ในความเป็นจริงราคาของโลหะเหล่านี้มีความสัมพันธ์กัน ดังนั้นแบบจำลอง SGDE+SSA แบบหลายมิติจึงถูกสร้างขึ้น โดยมีการพิจารณาค่าสหสัมพันธ์ที่เกิดจากการวิเคราะห์ข้อมูลราคาในอดีตเพื่อให้แบบจำลองมีความเหมาะสมกับสถานการณ์จริงมากยิ่งขึ้น สำหรับการวิเคราะห์ความอ่อนไหวจะศึกษาโดยการพัฒนาวิธีการคัดเลือกค่าพารามิเตอร์เพื่อเพิ่มประสิทธิภาพของแบบจำลอง นอกจากนี้ค่าคาดหวังและค่าความแปรปรวนของผลเฉลยทางตัวเลขถูกแสดงโดยคำนวณจากแบบจำลอง ความแม่นยำของแบบจำลอง SGDE+SSA แบบหนึ่งมิติ และแบบจำลอง SGDE+SSA แบบหลายมิติ จะถูกแสดงผ่านค่า MAPE ซึ่งเป็นการเปรียบเทียบระหว่างราคาจากแบบจำลองและราคาของโลหะมีค่าในอดีตตั้งแต่เดือนมกราคม พ.ศ. 2548 ถึง เดือนมกราคม พ.ศ. 2567 ผลการศึกษาครั้งนี้พบว่าแบบจำลอง SGDE+SSA แบบหนึ่งมิติสำหรับราคาการพยากรณ์ในช่วงชุดการเรียนรู้ และสำหรับสำหรับราคาที่พยากรณ์ในช่วงข้อมูลชุดทดสอบ แบบจำลอง SGDE+SSA แบบหนึ่งมิติมีความเชี่ยวชาญในการคาดการณ์ราคาของเงิน ในขณะที่แบบจำลอง SGDE+SSA แบบหลายมิติมีประสิทธิภาพในการทำนายราคาของทองคำและแพลทินัม โดยรวมแล้วแบบจำลองเหล่านี้มีประสิทธิภาพในการทำนายราคาทองคำ เงินและแพลทินัม
Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad
Homotopy Conjugate Of Continuous Map, Thitipon Phuksawad
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this thesis, we introduce the concept of homotopy conjugate, which is weaker than topological conjugate, for continuous maps. We study the properties of a homotopy conjugate related to the fixed space, the orbit space, and the mapping cylinder. Moreover, we prove that affine maps on R™ with at least one fixed point are all homotopy conjugate.
Valorization Of Spent Coffee Grounds As Feedstock For Biodiesel Production Using Supercritical Fluid Technology, Wirasinee Supang
Valorization Of Spent Coffee Grounds As Feedstock For Biodiesel Production Using Supercritical Fluid Technology, Wirasinee Supang
Chulalongkorn University Theses and Dissertations (Chula ETD)
Spent coffee grounds (SCGs) is the solid residue generated during coffee brewing. The amount of SCGs tends to increase annually due to the growth of the coffee industry. The valorization of SCGs can reduce this huge waste by using SCGs as the feedstock for biodiesel production. This study used green technology for biodiesel production. To evaluate the potential of SCGs, the characterization of SCGs and the optimization of biodiesel production from SCGs using supercritical fluid technology were investigated. Moreover, to understand the possibility of biodiesel production from the SCGs process on an industrial scale, techno-economic analysis (TEA) was applied to …
Winner Prediction Model For Basketball Matches Based On Statistical Data Of Teams, Players, And Line-Ups, Chanin Witheesawas
Winner Prediction Model For Basketball Matches Based On Statistical Data Of Teams, Players, And Line-Ups, Chanin Witheesawas
Chulalongkorn University Theses and Dissertations (Chula ETD)
NBA league in the United States for professional basketball league is considered the world-famous basketball league with the highest money circulation. Basketball players around the world would rather join the league. Also, many entrepreneurs would like to become a sponsor of a basketball team in the NBA league to increase the business opportunities leading to higher revenue especially a sponsor of a team that wins the NBA championship more than other teams. Therefore, every NBA team must develop a proper strategic plan to win the NBA championship. Hence, it is the beginning of this thesis to use seven popular machine …
Machine Learning For Increasing Productivity In Shrimp Hatchery, Boonyapron Kaowleg
Machine Learning For Increasing Productivity In Shrimp Hatchery, Boonyapron Kaowleg
Chulalongkorn University Theses and Dissertations (Chula ETD)
The quality of shrimp hatcheries directly impacts the survival and growth of shrimp during the grow-out stage, with poor hatchery conditions increasing the risk of infections and reducing overall productivity. This study explores the potential of machine learning to enhance productivity in shrimp hatcheries in Thailand, focusing on improving the accuracy of hatchery success predictions. Four machine learning models were developed and compared to predict shrimp hatchery outcomes based on historical data. Data were collected from multiple sources, which presented challenges in terms of variability, missing values, and the need for extensive pre-processing. The results showed that the random forest …
Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan
Streaming Image Classification Using Class-Wise Incremental Learning And Pre-Trained Convolution Neural Network, Kongkan Kalakan
Chulalongkorn University Theses and Dissertations (Chula ETD)
Learning in deep learning architectures for computer vision is a resource-intensive process. Although the accuracy of state-of-the-art models has improved over time, these methods still require significant time and memory to process large datasets, particularly in the context of streaming image data. The necessity to store and reprocess old data each time new data is introduced leads to inefficient resource usage. A more efficient approach is to learn from data in chunks and discard the previously processed data. However, this strategy often results in catastrophic forgetting. In this study, we propose a novel algorithm called CNN-SCIL, which enhances the Streaming …
Identifying Unsafety Gesture Of Drivers Using Deep Learning, Yibei Bai
Identifying Unsafety Gesture Of Drivers Using Deep Learning, Yibei Bai
Chulalongkorn University Theses and Dissertations (Chula ETD)
This thesis presents the use of deep learning to identify two unsafe gestures of drivers: (1) holding the wheel with one hand and performing an action with the other hand, and (2) talking on the phone while driving. These gestures can distract the driver, potentially leading to accidents. Four models were compared and evaluated. Additionally, the study introduces the Driver Action Expression (DAE) dataset, collected through a road driving experiment focusing on driver behavior. The issue of imbalanced data was considered. The Xception model shows the best performance compared to other models, leading to its selection as the primary model …
Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong
Logistic Stochastic Differential Equation Driven By Fractional Brownian Motion, Thanayuth Promkong
Chulalongkorn University Theses and Dissertations (Chula ETD)
In this work, the logistic stochastic differential equation (SDE) driven by fractional Brownian motion (FBM) is proposed. We derive the exact solution of this SDE using the fractional Itô's formula with respect to FBM and investigate the probabilistic properties of the solution, namely the mean and the $k$-th moment, using Taylor series approximation. The simulation of sample paths using the direct formula of the exact solution of this SDE driven by FBM with various Hurst parameters, along with that of the corresponding SDE driven by standard Brownian motion, is performed to demonstrate the behaviors of these SDEs and affirm our …
3d-Printed Flexible Polyacrylamide/Alginate Gel Polymer Electrolyte For Zinc Ion Baterry, Napassorn Wongduangpa
3d-Printed Flexible Polyacrylamide/Alginate Gel Polymer Electrolyte For Zinc Ion Baterry, Napassorn Wongduangpa
Chulalongkorn University Theses and Dissertations (Chula ETD)
Flexible and wearable electronic devices are gaining widespread popularity due to their portability and user-friendly design. These devices include electrical sensors, flexible displays, smart clothing, and on-body health monitoring devices. The demand for these devices depends on their ability to maintain flexibility, light weight, bending ability, twisting ability, and ease of portability, such as being foldable under intense usage conditions. These flexible and wearable electronics require a suitable power source, typically batteries. Zinc-ion batteries (ZIBs) are widely used due to their safety, cost-effectiveness, and environmental friendliness. However, ZIBs still face limitations in terms of flexible and durable electrolytes, which pose …
Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee
Pricing Option On Commodity Under Schwartz Model By Using Finite Difference Method, Peerawit Kalaphakdee
Chulalongkorn University Theses and Dissertations (Chula ETD)
This work aims for finding prices of options with underlying assets considered as commodities, where the price of commodity is assumed to follow a mean-reverting Ornstein-Uhlenbeck process, namely, the Schwartz one-factor model. The prices of both European and American options are obtained by employing the finite different methods (FDMs) for solving parabolic partial differential equations (PDEs) generated from Feynman-Kac theorem. In this work, we construct three FDMs to solve PDEs, namely FTCS, BTCS and CN methods. The accuracy of FDMs are validated and confirmed by numerical examples for European options by comparing with analytical results from Black-Scholes type formula and …
Characterization Of Geuda Sapphires From Sri Lanka, Hussain Akiff Mohamed Faleel
Characterization Of Geuda Sapphires From Sri Lanka, Hussain Akiff Mohamed Faleel
Chulalongkorn University Theses and Dissertations (Chula ETD)
Geuda sapphire samples from the Kataragama and Ratnapura deposits in Sri Lanka were classified into milky, silky, and diesel varieties. Each sample was sliced into two pieces and subjected to two different heat treatments. The first slice was heated to 1750°C in a gas furnace using LPG, creating an oxygen-reduced environment, while the second slice was annealed at 1650°C in an electric furnace under oxidizing condition. Both heating methods produced similar results for the milky and diesel geuda varieties. However, in the silky geuda, which contained needle-like ilmenite inclusions, the gas furnace under oxygen-reduced conditions yielded more pronounced effects. In …
Molecular Dynamics Simulation Of Phosphonium-Based Ionic Liquids For Natural Gas Sweetening, Umar Muhammad Yahaya
Molecular Dynamics Simulation Of Phosphonium-Based Ionic Liquids For Natural Gas Sweetening, Umar Muhammad Yahaya
Chulalongkorn University Theses and Dissertations (Chula ETD)
Sour natural gas (SNG) contains significant amounts of H2S, CO2, and other sulfur-containing components which need to be reduced to the required level suitable for safe transportation and usage. In this work, we conducted molecular dynamics simulations of five Phosphonium-based Ionic Liquids (PILs) with a formulated gas mixture containing 80% CH4, 10% CO2, 5% H2S, and 5% N2, reflecting a typical composition of SNG. The simulation was performed at 300 K and 50 bar for 100 ns and five PILs studied were tetrabutylphosphonium acetate ([P4444][ACE]), tetrabutylphosphonium formate ([P4444][FOR]), tetrabutylphosphonium methyl carbonate ([P4444][MTC]), tetrabutylphosphonium dimethylphosphate ([P4444][DMP]), and tetrabutylphosphonium diethylphosphate ([P4444][DEP]). Analysis …
Prediction The Dose Distributions Of Prostate Cancer Patients Using Deep Learning, Pumipat Chaikamthorn
Prediction The Dose Distributions Of Prostate Cancer Patients Using Deep Learning, Pumipat Chaikamthorn
Chulalongkorn University Theses and Dissertations (Chula ETD)
Volumetric Modulated Arc Therapy (VMAT) is one of the advanced modalities in recent radiotherapy. It uses the inverse treatment planning system for optimization and dose calculation. However, this approach is a trial-and-error process, which takes a long time. An accurate deep-learning model that can predict the dose would solve this issue. This approach can save more treatment planning time, by guiding the planners to the optimum dose while maintaining the plan quality. The 40 previously treated prostate cancer plans were collected the volumetric information of PTV and OARs, overlapping volume, and the dosimetric information. The regression deep learning model, which …
Seroprevalence And Epidemiology Of Human Respiratory Syncytial Virus (Rsv) Among Young Children In Thailand, Siripat Pasittungkul
Seroprevalence And Epidemiology Of Human Respiratory Syncytial Virus (Rsv) Among Young Children In Thailand, Siripat Pasittungkul
Chulalongkorn University Theses and Dissertations (Chula ETD)
Respiratory Syncytial Virus (RSV) is a significant cause of both upper and lower respiratory tract infections, capable of affecting both children and adults, with the potential for reinfection throughout life. Despite the current availability of an RSV vaccine for pregnant women and the elderly, RSV remains a leading cause of severe lower respiratory tract infections in infants and young children globally. Reinfections by the same or different RSV subgroups in children residing in the tropics are currently under-studied. Therefore, This study investigated the seroprevalence and epidemiology of RSV infections in Thai children. Our seroprevalence study (2015-2020) involved 302 mothers and …
Optimal Dual-Time-Point Dynamic 68ga-Psma-11 Pet/Ct Protocols For Parametric Imaging Generation In Prostate Cancer Patients, Paphawarin Burasothikul
Optimal Dual-Time-Point Dynamic 68ga-Psma-11 Pet/Ct Protocols For Parametric Imaging Generation In Prostate Cancer Patients, Paphawarin Burasothikul
Chulalongkorn University Theses and Dissertations (Chula ETD)
Globally, prostate cancer is the second most common cancer for men. Prostate cancer patients presenting metastasis exhibit a poor prognosis, consequently leading to diminished survival rates. Thus, 68Ga-PSMA-11 PET/CT examination plays a critical role in prostate cancer diagnosis. Parametric imaging techniques offer the potential to improve the accuracy of quantification analysis in PET/CT diagnosis, but their effectiveness is constrained by lengthy acquisition protocols. This study developed optimal dual-time-point (DTP) parametric imaging using shortened dynamic 68Ga-PSMA-11 PET/CT scans in prostate cancer patients and investigated the feasibility of parametric images in terms of image quality by comparing them with a routine standardized …
การสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสําหรับใช้ในการพัฒนาเกม, ภัทรานิษฐ์ มุสิกะประยูร
การสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสําหรับใช้ในการพัฒนาเกม, ภัทรานิษฐ์ มุสิกะประยูร
Chulalongkorn University Theses and Dissertations (Chula ETD)
โครงงานมหาบัณฑิตนี้จึงเสนอวิธีการสร้างแอนิเมชัน 3 มิติ ของใบหน้าขณะพูดภาษาไทยสำหรับใช้ในการพัฒนาเกม ในการสร้างแบบจำลองเพื่อทำนายการเคลื่อนไหวของใบหน้าขณะพูดภาษาไทย ได้ใช้ชุดข้อมูลออดิโอวิชวล TSynC-3miti: Audiovisual Speech Synthesis Database from Found Data ร่วมกับแนวคิดจาก งานวิจัย A Decision Tree Framework for Spatiotemporal Sequence Prediction ที่ได้เสนอวิธีการสำหรับการทำนายลำดับข้อมูลที่มีจำนวนมิติสูงและต่อเนื่อง โดยใช้เทคนิคการแบ่งย่อยด้วยหน้าต่างเลื่อนร่วมกับวิธีการรวมกลุ่มของต้นไม้ตัดสินใจ ซึ่งสามารถนำมาประยุกต์ใช้ในการสร้างแอนิเมชันสำหรับการพูดได้ ในการทำนายการเคลื่อนไหวของใบหน้าขณะพูดภาษาไทยในโครงงานมหาบัณฑิตนี้ จะใช้ข้อมูลนำเข้าเป็นลำดับของสัญลักษณ์โฟเนติก จากจึงต้องมีการเตรียมชุดข้อมูลใหม่จากชุดข้อมูลออิดิโอวิชวล TSynC-3miti จากนั้นนำชุดข้อมูลไปฝึกสอนโมเดล และพัฒนาเครื่องมือที่ใช้ในการสร้างแอนิเมชัน โดยเป็นรูปแบบของส่วนเสริมสำหรับใช้ในเกมเอนจิน Unreal Engine โดยรับอินพุตเป็นข้อความภาษาไทย และจะได้ค่าการเคลื่อนไหวใบหน้ามาอ้างอิงบนใบหน้าของตัวละครในแต่ละช่วงเวลา ผลลัพธ์ของการทำงานของส่วนเสริมนี้จะได้เป็นแอนิเมชัน 3 มิติของโมเดลตัวละคร MetaHuman ที่สามารถพูดภาษาไทยได้อย่างสมจริง โดยผลการทดสอบพบว่าแอนิเมชันมีความสมจริงจากมุมมองทั้งหน้าตรงและหน้าเอียง โดยมุมมองหน้าเอียงดูสมจริงมากกว่า และการออกเสียงแต่ละโฟเนติกมีความสมจริงเช่นกัน
Green Urbanisam And Human Well-Being In Developing Countries, Phenphit Boonhor
Green Urbanisam And Human Well-Being In Developing Countries, Phenphit Boonhor
Chulalongkorn University Theses and Dissertations (Chula ETD)
This study investigates the relationship between green urbanism and human well-being in developing countries, focusing on the influence of individual and cultural values on the utilization of urban green spaces (UGS). As rapid urbanization transforms cities, there is a pressing need to address the environmental and health challenges that arise, particularly in regions with limited infrastructure and resources. The research highlights significant disparities between developed and developing nations regarding sustainability efforts, with developing countries facing increasing urban population growth alongside declining environmental conditions. Through a comprehensive literature review and empirical analysis, this study aims to elucidate how cultural perspectives on …
Exploring Sustainable Initiatives, Innovations, And Challenges In Sports Sustainability : A Case Study Of The Olympic Games, Suwanna Silpaarcha
Exploring Sustainable Initiatives, Innovations, And Challenges In Sports Sustainability : A Case Study Of The Olympic Games, Suwanna Silpaarcha
Chulalongkorn University Theses and Dissertations (Chula ETD)
The progress of sustainability in sports mega-events have been more prominent than ever due to its substantial impact on society, the economy, and the environment. The Olympic Games’ immense magnitude has sparked apprehensions regarding their ecological and societal ramifications—increased energy usage and waste, transportation demands, new infrastructural constructions—which all have significant impacts on the environment and carbon emissions. Because of this, the IOC, host cities, and related sports authorities are constantly evolving and seeking innovative solutions towards sustainability while overcoming challenges faced. Given the importance of sustainable development in sports, this study examines sustainable approaches and solutions adopted by the …