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2022

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Classification Of Cardiac Arrhythmias Based On Overlapped Ecg Image With Lightweight Neural Network, Khaing Su Thway Jan 2022

Classification Of Cardiac Arrhythmias Based On Overlapped Ecg Image With Lightweight Neural Network, Khaing Su Thway

Chulalongkorn University Theses and Dissertations (Chula ETD)

This dissertation presents the classification of different types of cardiac arrhythmias, including Atrial Fibrillation (AF), Normal Sinus Rhythm (NSR), Premature Atrial Contraction (PAC), and Premature Ventricular Contraction (PVC), using a lightweight neural network. A novel ECG data transformation method, referred to as transforming into overlapped ECG images, has been developed and utilized as input images for our neural network. During the transformation process, individual heartbeats within a 30-second time frame are cropped based on heart rate calculations. These resulting beats are then overlapped with respect to the x and y axis limits, generating distinctive images representing different arrhythmia types examined …

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Genetic Algorithm Based Deep Multi-Route Self-Attention For Single Image Super-Resolution, Nisawan Ngambenjavichaikul Jan 2022

Genetic Algorithm Based Deep Multi-Route Self-Attention For Single Image Super-Resolution, Nisawan Ngambenjavichaikul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Image restoration, such as single image super-resolution (SISR), is a long-established low-level vision issue that intends to regenerate high-resolution (HR) images from low-resolution (LR) input counterparts. While state-of-the-art image super-resolution models are based on the well-known convolutional neural network (CNN), many self-attention-based or transformer-based experiment attempts have been conducted. They have shown promising performance on vision problems. A powerful baseline model based on the swin transformer adopts the shifted window approach. It enhances the capability by restricting the model to compute the self-attention function only on non-superimpose local windows while enabling cross-window relations. However, the architecture design is manually fixed. …

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A Linear Matrix Inequality Approach To Design State Feedback Control For Non-Polynomial Nonlinear Systems, Phing Lim Jan 2022

A Linear Matrix Inequality Approach To Design State Feedback Control For Non-Polynomial Nonlinear Systems, Phing Lim

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis aims to design a state feedback controller for non-polynomial systems with bounded control inputs. The problem formulation begins by transforming the non-polynomial systems into polynomial systems. This can be done by defining non-polynomial terms as new state variables with algebraic constraints satisfying the non-polynomial properties. This method avoids the approximation of the recast polynomial systems. Then we design the state feedback control based on the extended Lyapunov stability theorem and the quadratic performance criterion. Two state feedback control laws are proposed: Theorem 1 for static Lyapunov matrix variables and Theorem 2 for polynomial ones. For Theorem 1, the …

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Effect Of Drop-Out Layers Inside Recurrent Neural Networks In Household Load Forecast Application, Sanaullah Soomro Jan 2022

Effect Of Drop-Out Layers Inside Recurrent Neural Networks In Household Load Forecast Application, Sanaullah Soomro

Chulalongkorn University Theses and Dissertations (Chula ETD)

Ensuring precise power load forecasting is highly important in planning the secure, steady, and cost-effective functioning of the power system. Grid planning and decision-making can be based on accurate long- and short-term power load forecasting. Recently, machine learning techniques have gained widespread adoption for both long- and short-term power load forecasting. Specifically, the Long Short-Term Memory (LSTM) is customized for time series data analysis. This research proposes an LSTM model for forecasting the power load of a single house containing electrical appliances over the next 20 days. We conducted a comparative analysis of the impact of dropout layers in load …

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Performance Analysis Of Jpeg Xr With Deep Learning-Based Image Super-Resolution, Taingliv Min Jan 2022

Performance Analysis Of Jpeg Xr With Deep Learning-Based Image Super-Resolution, Taingliv Min

Chulalongkorn University Theses and Dissertations (Chula ETD)

The demand for efficient high-level image and video codec compression has widely increased. Conventional image compression methods such as JPEG XR use a high quantization parameter (QP) to produce a highly compressed file for any given image. However, higher QP has unpleasing artifacts that lead to perceptual quality degradation. A feasible solution to tackle this limitation is to reduce the high-resolution image size by downsampling it before encoding it with JPEG XR. Then, the super-resolution algorithm is applied to the resultant low-resolution image to reconstruct the high-resolution result. In this research, we downsample the input image before JPEG XR. Then, …

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Deep Consecutive Attention Network For Video Super-Resolution, Talha Saleem Jan 2022

Deep Consecutive Attention Network For Video Super-Resolution, Talha Saleem

Chulalongkorn University Theses and Dissertations (Chula ETD)

In the video application, slow motion is visually attractive and gets more attention in video super resolution. To generate the high-resolution (HR) slow motion video frames from the low-resolution (LR) frames, two sub-tasks are required, including video super-resolution (VSR) and video frame interpolation (VFI). However, the interpolation approach is not successful to extract low level feature attention to get the maximum advantage from the property of space-time relation. To this extent, we propose a deep consecutive attention network-based method. The multi-head attention and an attentive temporal feature module are designed to achieve better prediction of interpolation feature frame. Bi-directional deformable …

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Applications Of Deep Learning Framework And Localization To Intelligent Radio Spectrum Monitoring, Truong Thanh Le Jan 2022

Applications Of Deep Learning Framework And Localization To Intelligent Radio Spectrum Monitoring, Truong Thanh Le

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this thesis, the author proposed an intelligent radio spectrum monitoring system with implemented deep learning framework. Deep learning is a powerful method to handle hard tasks automatically. The system uses the RTL-SDR USB dongle as the sensor to collect the spectrum data. This dongle is a low-cost device that can measure the signal from 500kHz to 1700MHz. The maximum bandwidth of measurement is 2MHz. The main functions of this system are to collect the spectrum data and then detect the representation signals and extract their characteristics, such as bandwidth, center frequency, modulation type, and capacity. The modulation classification task …

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Functional Split In 5g Cloud Radio Access Network Using Particle Swarm Optimization, Wai Phyo Jan 2022

Functional Split In 5g Cloud Radio Access Network Using Particle Swarm Optimization, Wai Phyo

Chulalongkorn University Theses and Dissertations (Chula ETD)

The Cloud Radio Access Network (C-RAN) is an innovative approach that has the potential to significantly reduce the expenses of setting up and operating wireless networks. C-RAN's placement of RAN functions, which strives to reduce bandwidth utilization and computation costs, is a critical component. In this study, our main goal is to reduce the costs associated with functionally placing the RAN while accounting for the computational expense and the front-haul bandwidth usage among various users. To achieve this, we propose to apply Particle Swarm Optimization (PSO) to achieve effective allocation of computational resources and the front-haul bandwidth, ensuring an efficient …

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Online Self-Learning System For Prediabetes Patients, Ye Moe Myint Jan 2022

Online Self-Learning System For Prediabetes Patients, Ye Moe Myint

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis implements a web-based application that combines a 3D learning center and educational game to facilitate the monitoring, management, and treatment of patients with prediabetes mellitus, by providing exercise plans and controlled diets. The application utilizes advanced web technologies, 3D modeling, and gamification principles to create an engaging learning experience. User-centered design ensures usability, and testing demonstrates positive outcomes, including increased knowledge, motivation, and engagement. This research contributes to digital health interventions by empowering prediabetes patients with informed decision-making and healthy habits. Future directions include expanding the application, refining the user interface, and evaluating long-term impact on prediabetes management.

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Green Supplier Evaluation And Selection For A Furniture Sales Company, Jiahao Li Jan 2022

Green Supplier Evaluation And Selection For A Furniture Sales Company, Jiahao Li

Chulalongkorn University Theses and Dissertations (Chula ETD)

This paper proposes a supplier evaluation method for a furniture sales company in China that focuses on the evaluation process and sustainability of business operation. Firstly, we have arranged a meeting with experts from various fields to gather information concerning evaluation problems and choices of evaluation indicators. We then go through the literature in the field of supplier evaluations to create a new green supplier evaluation indicator system comprising of 5 first-level and 19 second-level evaluation indicators. Once selected, the Fuzzy-entropy-TOPSIS approach has been adopted for the evaluation of 13 suppliers via MATLAB. We find that, among these suppliers, S1 …

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Critical Success Factors For Data Warehouse Implementation In An Industrial Associations Organization, Phatnarin Khantayana Jan 2022

Critical Success Factors For Data Warehouse Implementation In An Industrial Associations Organization, Phatnarin Khantayana

Chulalongkorn University Theses and Dissertations (Chula ETD)

The purpose of this research is to delve into the key success factors (CSFs) associated with data warehouse (DW) implementation from the perspectives of various stakeholders within an organization. A data warehouse provides a unified and structured view of an organization's data for analysis and reporting, and successfully implementing such a system can have a significant impact on overall organizational performance. It enables better data management, facilitates improved decision-making, and enhances strategic planning. The scope of this research encompasses an in-depth examination of the core CSFs that are instrumental in achieving success during data warehouse deployments. It focuses on understanding …

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Demand Forecasting And Inventory Management For An Automotive Tire Distributor In Northeast Thailand, Vasinee Chantaraponpun Jan 2022

Demand Forecasting And Inventory Management For An Automotive Tire Distributor In Northeast Thailand, Vasinee Chantaraponpun

Chulalongkorn University Theses and Dissertations (Chula ETD)

The objective of this research is to improve the inventory management for an automotive tire distributor company in Northeast Thailand to mainly reduce the excessive unnecessary stock. According to the initial investigations, the main causes of overstock are unstable customer demands and a lack of an inventory control system based on theory. In order to better address the issues and scope down the research area, three suitable products and sub-dealers with different demand patterns are selected to find the best-fit forecasting model for each of them and be customized the inventory policy based on the demand patterns. The methodology is …

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Digital Reading On Eil Materials For Thai Undergraduate Students, Nopphanan Adungdejjaroon Jan 2022

Digital Reading On Eil Materials For Thai Undergraduate Students, Nopphanan Adungdejjaroon

Chulalongkorn University Theses and Dissertations (Chula ETD)

This exploratory study had two research objectives. First, it aimed to investigate digital reading on EIL materials for Thai undergraduate students and, second, explore students' perceptions towards digital reading on EIL materials. The study involved two hundred and ninety-nine undergraduate students enrolled in an aviation business management program. The EIL Digital Reading Questionnaire is to collect quantitative data, while the semi-structured interview is to collect qualitative data. The result from descriptive statistics of the questionnaire and thematic analysis of the semi-interview reported that Thai undergraduate students tended to encounter, engage, and evaluate EIL materials frequently. Most of the participants strongly …

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Application Of Fractional Exponential Feature To Garch Model Variants For Improvement In Value-At-Risk Prediction, Chanet Saisatian Jan 2022

Application Of Fractional Exponential Feature To Garch Model Variants For Improvement In Value-At-Risk Prediction, Chanet Saisatian

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research studies about using GARCH model variants as a parametric way in estimation and prediction of daily Value-at-Risk (VaR), one of famous risk measurement especially in financial world. To cope with various stylized facts on market’s volatility, two mixed GARCH models are proposed in this research: HY-GJR-GARCH model, the hybrid between hyperbolic GARCH (HYGARCH) and GJR-GARCH models, and HY-MS-GARCH model as the amalgam between HYGARCH and Markov switching GARCH (MSGARCH) models. These mixed models, along with rich mathematical formulations and benefits from their base models, are expected that their performance in predicting daily VaR is advanced against the performance …

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Why Is The Third Principal Component Of The Yield Curve Important: A Point Of View From Reverse Stress Test On Credit Portfolio, Phanuwat Ritpornnarong Jan 2022

Why Is The Third Principal Component Of The Yield Curve Important: A Point Of View From Reverse Stress Test On Credit Portfolio, Phanuwat Ritpornnarong

Chulalongkorn University Theses and Dissertations (Chula ETD)

The focus of this study is to analyze the shape of the yield curve on credit portfolios during crises, specifically those that are exposed to both interest rate and credit risks. To achieve this, We utilized a reverse stress test (RST) and macroeconomic measures (such as GDP and U.S risk-free yields) from the period of 1981 to 2014 to estimate mathematical models. We then utilized a Monte Carlo simulation to determine the most likely scenario for the measures if the portfolio value reaches a pre-specified threshold. The researchers discovered that the shape of the stressed yield curves varied depending on …

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Development Of High Protein Beverage From Hydrolyzed Egg White, Nuntorn Charoensak Jan 2022

Development Of High Protein Beverage From Hydrolyzed Egg White, Nuntorn Charoensak

Chulalongkorn University Theses and Dissertations (Chula ETD)

The primary objective of this study was to examine the impact of enzymatic treatment on pasteurized egg white protein (EWP) and assess its influence on various physicochemical properties and antioxidant activity. Our findings revealed that the addition of SDAY10 enzymes led to a significant increase in lightness (L*), redness (a*), and yellowness (b*) parameters. Furthermore, higher concentrations of the enzyme resulted in a considerable reduction in pH, viscosity, and volume mean diameter (D4,3) of EWP protein compared to the control group (P < 0.05). Additionally, the application of SDAY10 enzyme (0.1-0.3% w/v) for EWP hydrolysis exhibited a noteworthy enhancement in antioxidant activity (measured by DPPH, ABTS, and FRAP assays) compared to lower enzyme concentrations. Notably, the 0.3% concentration of SDAY10 exhibited the highest release of amino acids during in vitro digestion and received the highest sensory evaluation score. Consequently, employing SDAY10 enzymes at a concentration of 0.3% w/v for EWP hydrolysis demonstrates significant potential for improving the physical properties of EWP and enhancing antioxidant activity. However, it is imperative to investigate the sensory evaluation with regards to the bitterness of the product developed using such enzymes.

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Geomorphological Change Of The Upper Yom River In Phrae Province, Kakkhanang Na Nan Jan 2022

Geomorphological Change Of The Upper Yom River In Phrae Province, Kakkhanang Na Nan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Yom River is the main tributary of the Chao Phraya River; the upper Yom River flows through Phrae Province. This research selected the upper Yom River because of meander processing in an active basin, which rapidly migrates and changes landforms all the time, The object of this research is to study geomorphological change, thickness and behavior of the upper Yom River in Phrae Province. By assessing aerial photographs and satellite images from 1954 to 2019, the researchers were able to interpret the geological changes that occurred over the past 65 years. The study identified several geomorphological changes from channel migration …

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Optimization Of Blast Design For Better Fragmentation & Reduction Of Ground Vibration At Khao Mai Nuan Pyrophyllite Mine, Saraburi Province, Thailand, Arif Khan Jan 2022

Optimization Of Blast Design For Better Fragmentation & Reduction Of Ground Vibration At Khao Mai Nuan Pyrophyllite Mine, Saraburi Province, Thailand, Arif Khan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Control blasting with better fragmentation is very important to decrease the environmental impacts of blasting and the cost of downstream mining operations such as loading, transportation, crushing, and milling. Proper blasting designs with optimized parameters such as burden, spacing, stemming, sub-drilling, and amount of explosive ensure the required fragmentation with ground vibration within the standards set by different monitoring agencies. This study dealt with the blasting design parameters, fragmentation, and ground vibration at the Khao Mai Nuan Pyrophyllite quarry Saraburi province, Thailand. First, grab samples were collected from the quarry's active benches and tested in a lab for strength, compositions …

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Effect Of Salinity Contrast Between Formation Water And Injected Low Salinity Water On Low Salinty Water Flooding In Dolostone Formation, Nuttapol Junput Jan 2022

Effect Of Salinity Contrast Between Formation Water And Injected Low Salinity Water On Low Salinty Water Flooding In Dolostone Formation, Nuttapol Junput

Chulalongkorn University Theses and Dissertations (Chula ETD)

Low Salinity Waterflooding (LSWF) has gained substantial prominence in current scientific method for oil recovery improvement, owing to its simplicity, cost-effectiveness, and environmental friendliness as an Enhanced Oil Recovery (EOR) technique. Various studies have highlighted the crucial role of injected brine salinity and the concentration of Potential Determining Ions (PDI) in stimulate oil recovery mechanisms. However, the majority of these studies have predominantly concentrated on sandstone reservoirs. In light of the fact that over 50% of hydrocarbon reserves are situated in carbonate reservoirs, this research focuses specifically on dolomite reservoirs to examine the applicability and feasibility of implementing LSWF in …

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Physical Property Measurement Of Surfactant Coupled With Nanoparticles For Enhanced Oil Recovery, Phoo Pwint Nandar Jan 2022

Physical Property Measurement Of Surfactant Coupled With Nanoparticles For Enhanced Oil Recovery, Phoo Pwint Nandar

Chulalongkorn University Theses and Dissertations (Chula ETD)

The residual oil remained in the reservoir after the primary recovery and water flooding can either be produced by increasing the mobility of the oil or by altering the reservoir rock wetting behavior and diminishing the oil water interfacial tension. The surfactant flooding is one of the chemical enhanced oil recovery methods. At the optimal concentration, the surfactant flooding can provide the low interfacial tension favoring to the enhanced oil recovery. In contrast, the loss of the surfactant at the solid-liquid interface due to an adsorption lessens the amount of the surfactant required for oil displacement during the flooding. Therefore, …

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Optimizing Energy Efficiency Projects In Bangkok Large Commercial Buildings, Angelica Arisa Morgan Jan 2022

Optimizing Energy Efficiency Projects In Bangkok Large Commercial Buildings, Angelica Arisa Morgan

Chulalongkorn University Theses and Dissertations (Chula ETD)

As a significant contributor to greenhouse gas emissions in the Asia Pacific region, Thailand has pledged to lower its GHG emissions by 555 million tCO2e by the year 2030. In Bangkok, energy efficiency projects in the large commercial buildings sector are an integral method by which to reduce emissions and to support a lower carbon future. Besides carbon dioxide emissions, energy efficiency projects also have the potential for other benefits including electricity and cost savings. This study develops a methodology to quantify the emissions reduction, electricity savings, and cost savings potential of various energy efficiency methods in this sector, and …

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Multi-Objective Vehicle Loading And Routing Problem For Fresh Fruit And Vegetable Transportation, Supisara Krairiksh Jan 2022

Multi-Objective Vehicle Loading And Routing Problem For Fresh Fruit And Vegetable Transportation, Supisara Krairiksh

Chulalongkorn University Theses and Dissertations (Chula ETD)

Multi-compartment refrigerated vehicles are recently utilized in the cold chain industry, due largely to their flexibility in storage capacities with different temperature settings. To better comprehend the costs and benefits of this vehicle type in fresh fruits and vegetable transportation, a multi-compartment vehicle routing and loading problem (MCVRLP) with three different objectives – namely (i) minimizing total transportation cost, (ii) minimizing CO2 emissions, and (iii) minimizing weight loss of fresh fruits and vegetable – is herein explored and solved by mathematical formulation and genetic-based evolutionary algorithm approaches. Based on our computational results, we find that large and complicated MCVRLP instances …

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Forecasting Cane Sugar Production Under Climate Change And Human-Ecotoxicological Impact, Arisara Tachabunya Jan 2022

Forecasting Cane Sugar Production Under Climate Change And Human-Ecotoxicological Impact, Arisara Tachabunya

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study forecasted sugar cane yield and cane sugar production using stepwise multiple linear regression (MLR) and autoregressive integrated moving average (ARIMA). Then, impacts on human health and ecosystems at the endpoint level were evaluated using openLCA software version 1.10.3 and the ReCiPe 2016 method. The functional units were the production of 1 kg raw sugar, 1 kg granulated sugar, and 1 kg refined sugar at Tamaka Sugar Industry Co., Ltd., Kanchanaburi province, Thailand. The result revealed that relative humidity at the Thong Pha Phum meteorological station, maximum temperature at the Kanchanaburi meteorological station, and oceanic Niño Index (ONI) were …

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Bitcoin Candlestick Price Prediction With Recurrent Neural Network, Sutiwat Simtharakao Jan 2022

Bitcoin Candlestick Price Prediction With Recurrent Neural Network, Sutiwat Simtharakao

Chulalongkorn University Theses and Dissertations (Chula ETD)

Bitcoin is a high-risk asset with a potentially high return. Predicting Bitcoin candlestick, i.e., open, high, low, and close (OHLC) prices, can help investors make trading decisions. The objective of this study is to develop a neural network model to predict the candlestick prices of Bitcoin for the next period. Additionally, this study investigates methods to enhance the model's forecasting performance by feature transformations, specifically data normalization. This study employs two neural network algorithms, Long Short-Term Memory (LSTM) and Gated Recurrent Unit (GRU), to forecast daily Bitcoin OHLC prices. To enhance the model's performance, we compare sliding window normalization with …

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Wastewater-Based Epidemiology And Quantitative Microbial Risk Assessment Associated With Wastewater Contact Of Norovirus In Bangkok, Thailand, Nonnarit Sriporatana Jan 2022

Wastewater-Based Epidemiology And Quantitative Microbial Risk Assessment Associated With Wastewater Contact Of Norovirus In Bangkok, Thailand, Nonnarit Sriporatana

Chulalongkorn University Theses and Dissertations (Chula ETD)

Norovirus is one of the leading causes of acute gastroenteritis worldwide. Wastewater surveillance offer significant benefits such as enhancing our understanding of the disease occurrence in the population, evaluating the effectiveness of pathogen reduction in the treatment process, and tracking the spread of pathogens in the environment which pose a health risk to humans. Hence, wastewater surveillance is crucial. In this study, the influent and effluent samples were collected bi-monthly from March 2020 to March 2021 from three distinct wastewater treatment plants in Bangkok. Wastewater samples were concentrated and subjected to quantitative polymerase chain reaction (qPCR) to assess norovirus concentrations. …

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Southeast Asian Ministers Of Education Organization (Seameo) 'S Role In Digitalisation For Vocational Education Development : A Comparative Analysis Of Indonesia And Thailand, Anastasia Sylvia Jan 2022

Southeast Asian Ministers Of Education Organization (Seameo) 'S Role In Digitalisation For Vocational Education Development : A Comparative Analysis Of Indonesia And Thailand, Anastasia Sylvia

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis focuses on the role of the SEAMEO (Southeast Asian Ministers of Education Organization) role in vocational education development in Industry 4.0. Nowadays, there is a demand for the education sector to align with Industry 4.0, known as Education 4.0. In 2018, the SEAMEO, in collaboration with the GIZ, launched a Regional In-Service Training Modules project to support vocational education for Education 4.0. This study compares the impact of the Regional In-Service Training Modules project in two countries with a medium level of education performance in Southeast Asia: Indonesia and Thailand. This study employs a qualitative method with a …

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Political Astronomy: South Korea Space Development Under The International Political Dimension, Nutnarin Ueasukpakdee Jan 2022

Political Astronomy: South Korea Space Development Under The International Political Dimension, Nutnarin Ueasukpakdee

Chulalongkorn University Theses and Dissertations (Chula ETD)

Human Knows about space technology development since 1950s era during that time U.S. and Soviet Union were main actors in “Space race” war. Space technology development of U.S. and Soviet Union in proxy war era were emphasized to develop for competition of political ideology and power of military. At the present time the purpose of space technology development different from the past, many countries that try to develop space technology for economic benefit, technology benefit, communication benefit or hidden connotation others. South Korea was the one that have potential and interesting to develop space technology because of the conflict with …

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Development Of Stiffness Sensing And Adaptive Grasping With Soft Pneumatic Grippers, Chaiwuth Sithiwichankit Jan 2022

Development Of Stiffness Sensing And Adaptive Grasping With Soft Pneumatic Grippers, Chaiwuth Sithiwichankit

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study presents a framework for stiffness sensing and adaptive grasping using soft pneumatic grippers (SPGs). The motivation was to imitate the capabilities of human hands. The challenge was the compliance of soft pneumatic actuators (SPAs). The study associated the behaviors of grasped objects with those on SPAs, introduced a new concept of SPA modeling, and proposed a method for stiffness sensing through SPG pincer grasping. Compression testing was conducted for validation. A technique for forecasting deformation and force on grasped objects based on their stiffness was established, and a control law was elaborated. The presented technique and control architecture …

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Simulation And Prototyping Of A Knee Assistive Device For Improved Gait Function, Khemwutta Pornpipatsakul Jan 2022

Simulation And Prototyping Of A Knee Assistive Device For Improved Gait Function, Khemwutta Pornpipatsakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

This study aimed to develop a knee-assistive device while walking. The research was separated into two sections: the gait support simulation in MATLAB and the prototype of the device. Data on body part positions and ground reaction force were collected from three adult Thai participants walking at a speed of 1.5 m/s to calculate knee moment. The simulation section provides support moments during walking using machine learning and artificial stiffness control strategy (MLASCS), composed of the kNN model and the instantaneous artificial stiffness per body mass (IASPB) equations. The MLASCS was used to determine the proper amount of support moment …

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Effects Of Different Serum Supplements On Piggybac Cd19 Chimeric Antigen Receptor T Cells, Mulita Sanyanusin Jan 2022

Effects Of Different Serum Supplements On Piggybac Cd19 Chimeric Antigen Receptor T Cells, Mulita Sanyanusin

Chulalongkorn University Theses and Dissertations (Chula ETD)

Chimeric Antigen Receptor (CAR) T cell is a novel therapy for relapse and refractory hematologic malignancy. Characteristics of CAR T cells is associated with clinical efficacy and toxicity. Type of serum supplements used during cultivation affect the immunophenotype and function of viral-based CAR T cells. This study explores the effect of serum supplements on non-viral piggyBac transposon CAR T cell production. PiggyBac CD19 CAR T cells were expanded in cultured conditions containing either fetal bovine serum, human AB serum, human platelet lysate or xeno-free serum replacement. Then, the effect of different serum supplements on cell expansion, transfection efficiency, immunophenotypes and …

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