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2018

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Benzimidazole Derivatives Of Perylene Diimide For Organic Field-Effect Transistor, Tianchai Chooppawa Jan 2018

Benzimidazole Derivatives Of Perylene Diimide For Organic Field-Effect Transistor, Tianchai Chooppawa

Chulalongkorn University Theses and Dissertations (Chula ETD)

The poor solubility of perylene derivatives has been a key factor that prohibits the application of these thermally stable compounds in organic field-effect transistors (OFET) devices. In this research, the effort to enhance the solubility and exploring FET property of benzimidazole derivatives of perylene diimide were investigated. The perylene diimide core structure was functionalized by aryloxy moieties. Unfortunately, the isomeric products were still poorly soluble in common organic solvents, which made them impossible to separate and purify. Thus, the synthetic plan and goal were completely revised to the benzotriazatruxene derivatives, which were highly soluble in organic solvents such as dichloromethane …

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Green Synthesis Of Gold Nanoparticles Using Natal Lily Crinum Moorei Extract And Biological Activities, Warinda Marujiwat Jan 2018

Green Synthesis Of Gold Nanoparticles Using Natal Lily Crinum Moorei Extract And Biological Activities, Warinda Marujiwat

Chulalongkorn University Theses and Dissertations (Chula ETD)

Crinum moorei as medical herb has different pharmacological activities such as anti-cancer and anti-inflammatory properties. Gold nanoparticle (AuNP) is an interesting anti-cancer drug carrier which can solve anti-cancer drug's problems with good biocompatibility, non-toxicity and suitable size for the intracellular uptake to treat to the target cells. From the beginning, other reducing agents were used to synthesize AuNPs. However, they lead to the contamination of chemicals on AuNP's surfaces which limits the medical application or long process and time consuming. Therefore, plant extracts were studied to make a remarkable dual function: the synthesized AuNPs agent and drug agent. In this …

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Development Of Headspace-Solid Phase Microextraction And Gas Chromatography-Mass Spectrometry/Olfactometry For Analysis Of Volatile Compounds From Chicken Products, Wongkanok Yoosong Jan 2018

Development Of Headspace-Solid Phase Microextraction And Gas Chromatography-Mass Spectrometry/Olfactometry For Analysis Of Volatile Compounds From Chicken Products, Wongkanok Yoosong

Chulalongkorn University Theses and Dissertations (Chula ETD)

Gas chromatography-mass spectrometry/olfactometry coupled headspace solid phase microextraction (HS-SPME-GC-MS/O) was applied to analysis of volatile compounds from raw chickens and boiled chickens. The HS-SPME was 50/30 mm DVB/CAR/PDMS. The extraction temperature of boiled chicken was 50 °C for 30 min and raw chicken were extracted at room temperature. The SPME Probes were analyzed by GC-MS with a HP-5MS capillary column. 16 volatile compounds were identified in the boiled chickens in four chemical classes including aldehydes, aromatic hydrocarbon, alcohols and ketones and 20 volatile compounds were identified in raw chickens in three chemical classes including aldehydes, alcohols and esters. The identification …

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Synthesis And Antidiabetic Activity Of Furofuran Lignans Containing Multiphenolic Groups, Titiruetai Doungwichitrkul Jan 2018

Synthesis And Antidiabetic Activity Of Furofuran Lignans Containing Multiphenolic Groups, Titiruetai Doungwichitrkul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Synthesis of furofuran lignans containing multiphenolic groups (6-12) was carried out. The starting material samin (5) was obtained by acid hydrolysis of sesamin (2), which was isolated from sesame seed oil. A series of target lignans were synthesized from samin (5) and a varity of phenolics through Friedel-Crafts reaction, yielding desired products (6). To increase number of hydroxy moieties on the synthesized lignans, oxidative reaction using lead (IV) tetraacetate was performed. Removal of methylenedioxy of furofuran lignans containing a phenolic moiety produced unexpected products which contains para-quinone together with ortho-dihydroxy moieties on furofuran core structures (8-9). Consequently, to avoid oxidation …

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Analysis Of Cracked Body Repaired By Adhesively Bonded Patches By Bem-Fem Coupling, Binh Viet Pham Jan 2018

Analysis Of Cracked Body Repaired By Adhesively Bonded Patches By Bem-Fem Coupling, Binh Viet Pham

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents an efficient numerical technique capable of handling the stress analysis of three-dimensional cracked bodies strengthened or repaired by adhesively bonded patches. The proposed technique is implemented within the framework of the coupling of the weakly singular boundary integral equation method and the standard finite element procedure. The former is applied to efficiently treat the elastic body containing cracks whereas the latter is adopted to handle both the adhesive layers and the patches. The approximation of the near-front relative crack-face displacement is enhanced by using local interpolation functions that can capture the right asymptotic behaviour. This also offers …

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Sbfe Analysis Of Layered Elastic Media With Consideration Of Surface Energy Effect, Chantha Chhuon Jan 2018

Sbfe Analysis Of Layered Elastic Media With Consideration Of Surface Energy Effect, Chantha Chhuon

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents an efficient and accurate numerical technique for determining mechanical response of a two-dimensional, infinite, elastic, layered medium under arbitrary surface loading and surface stress effects. Governing equations of a generic bulk layer are formulated from the classical linear elasticity theory via a SBFE technique whereas those of the generic material surface are obtained from a full version of Gurtin-Murdoch surface elasticity theory. The formulation is established sufficiently general allowing both homogenous and functionally graded bulk materials to be treated for each layer. By enforcing the continuity at the interface of the material surface and the bulk, it …

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Compression Behavior Of Fire-Damaged Concrete-Filled Steel Tubular Columns Confined With Fiber-Reinforced Polymer Sheets, Dat Thanh Vu Jan 2018

Compression Behavior Of Fire-Damaged Concrete-Filled Steel Tubular Columns Confined With Fiber-Reinforced Polymer Sheets, Dat Thanh Vu

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research investigates the axial compression behavior of fire-damaged circular concrete-filled steel tube (CFST) stub columns externally confined with fiber-reinforced polymer (FRP) sheets. A total of 38 CFST specimens were tested under axial compression to investigate the load capacity, ductility, stiffness and failure mode of fire-damaged CFST columns before and after strengthening with FRP sheets. The test variables include the level of fire damage (no damage and 2-hour ISO standard fire), compressive strength of infill concrete (24MPa and 55MPa), type of FRP sheets (carbon and glass), and the number of FRP layers (0, 1, and 2 layers). The test results …

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A Bim-Database-Integrated System For Evaluating Building Life-Cycle Costs Using A Multi-Parametric Model, Hang Thi Thu Le Jan 2018

A Bim-Database-Integrated System For Evaluating Building Life-Cycle Costs Using A Multi-Parametric Model, Hang Thi Thu Le

Chulalongkorn University Theses and Dissertations (Chula ETD)

Life-cycle cost analysis (LCCA) has become an essential requirement of the sustainable procurement for many construction projects. Conventional building LCCA methods are extremely complex and time-consuming due to repetitive works, numerous required data, scattered data inputs, and various regulatory requirements, which subsequently lead to inaccurate building life-cycle costs (LCC). Building information modeling (BIM) offers a revolutionary information technology, which can overcome the asperities of the conventional building LCCA. This research develops the BIM-database-integrated system for evaluating building life-cycle costs using a multi-parametric model (BIM-BLCC). The BIM-BLCC consists of four interrelated modules. The relational database management module collects and organizes the …

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Geophysical Site Investigation And Ground Response Analysis Of Bangkok Subsoil Due To Earthquake, Muhammad Fatih Qodri Jan 2018

Geophysical Site Investigation And Ground Response Analysis Of Bangkok Subsoil Due To Earthquake, Muhammad Fatih Qodri

Chulalongkorn University Theses and Dissertations (Chula ETD)

The potential damages on building and infrastructure could be affected by long-distance earthquakes since the vibrations can appear ground motion amplification during the wave propagation. Bangkok urban area is located a hundred kilometers away from the potential area of the earthquake epicenter. However, some people in Bangkok could feel the shaking during the earthquake. It indicates that the long-period shaking could happen during the earthquake. In line with this phenomenon, this study aims to interpret the amplification effect and spectral acceleration in the local site of Bangkok due to remoted earthquakes. The microtremor measurement was conducted at four locations in …

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Analysis And Optimum Design Of Cold-Formed Steel Arch Structures, Thu Huynh Van Jan 2018

Analysis And Optimum Design Of Cold-Formed Steel Arch Structures, Thu Huynh Van

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research presents the development of a unified framework for cold-formed steel warehouse design at variations of clear roof spans. The work involves the advanced finite element analyses of nonlinear arch-shape warehouse structures, namely one that considers 2nd-order nonlinear geometry effects-sufficiently accurate approximation of large deformation responses. An optimum design procedure of 3D arch steel warehouse structures is conducted with the help of a novel algorithm, called mixed ESO-PSO approach. The generic idea is based on the implementation of a well-known evolutionary structural optimization algorithm (ESO), and further integrates a mapping, underpinning particle swarm optimization (PSO), technique of design variables …

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A Deep Relation Extraction From Biomedical Texts With Attention Mechanisms And Domain-Specific Contextual Representations, Amarin Jettakul Jan 2018

A Deep Relation Extraction From Biomedical Texts With Attention Mechanisms And Domain-Specific Contextual Representations, Amarin Jettakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

The biomedical relation extraction (RE) tasks aim to study the interaction between pre-defined entities from biomedical literature: Bacteria Biotope (BB) and Drug-Drug interactions (DDI) tasks. Some previous investigations have used feature-based models; others have presented deep-learning-based models such as convolutional and recurrent neural networks used with the shortest dependency paths (SDPs). Although SDPs contain valuable and concise information, sections of significant information necessary to define bacterial location relationships are often neglected. In addition, the traditional word embedding used in previous studies may suffer from word ambiguation across linguistic contexts. Here, we present a deep learning model for biomedical RE. The …

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Knowledge Sharing In Cooperative Compact Genetic Algorithm, Orakanya Gateratanakul Jan 2018

Knowledge Sharing In Cooperative Compact Genetic Algorithm, Orakanya Gateratanakul

Chulalongkorn University Theses and Dissertations (Chula ETD)

The compact genetic algorithm is derived from the genetic algorithm in which the population is represented by the probabilistic vector. To improve the search capability and avoiding local minima, parallelization has been employed where many search processes are deployed concurrently. In order to coordinate the work of multiple processes, knowledge sharing is necessary. Multiple processes share their probabilistic vectors partially. To escape from local minima the restart step is introduced. The experiment compares the proposed algorithm with two other competitive algorithms using Traveling Salesman problem, Bin Packing problem, Subset Sum problem, and Knapsack problem. The results show that the proposed …

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Explicit Energy-Minimal Short-Term Path Planning For Collision Avoidance In Bidirectional Crowd Simulation, Saran Sillapaphiromsuk Jan 2018

Explicit Energy-Minimal Short-Term Path Planning For Collision Avoidance In Bidirectional Crowd Simulation, Saran Sillapaphiromsuk

Chulalongkorn University Theses and Dissertations (Chula ETD)

การหาเส้นทางการเดินในระยะยาวรวมกับการหลบหลีกสิ่งกีดขวางรอบๆ เป็นวิธีทั่วไปที่ถูกนำมาใช้ในการจำลองการเคลื่อนไหวของตัวตนจำลองจากตำแหน่งหนึ่งไปยังอีกตำแหน่งหนึ่ง โดยไม่ให้เกิดการชนกันระหว่างตัวตนจำลองกับวัตถุในฉากและระหว่างตัวตนจำลองด้วยกันเอง วิธีนี้สามารถให้ผลการจำลองที่ดีในสถานการณ์ที่ผู้คนสามารถเดินได้หลายทิศทาง แต่ในสถานการณ์ที่ผู้คนถูกจำกัดทิศทางการเดินให้เหลือเพียงหนึ่งหรือสองทิศทางนั้น ปรากฏว่าตัวตนจำลองมีลักษณะการเดินที่ผิดธรรมชาติ เช่น เดินเข้าไปติดและอยู่นิ่งระหว่างตัวตนจำลองสองตัวที่เดินสวนมาหรือเดินเข้าไปในพื้นที่ที่แออัดหรือมีกลุ่มคนเยอะๆ ทั้งๆที่ยังมีเส้นทางเดินที่ทำให้ตัวตนจำลองสามารถเดินหลบหลีกไปได้ ลักษณะเช่นนี้เกิดขึ้นบ่อยและเห็นได้ชัดในสถานการณ์แบบสองทิศทาง งานวิจัยนี้จึงได้เสนอขั้นตอนในการหาเส้นทางในระยะสั้นเพื่อขจัดความบกพร่องของพฤติกรรมการเดินของตัวตนจำลองในสถานการณ์แบบสองทิศทางนี้ขึ้น โดยใช้สมการพลังงานทางชีวกลศาสตร์ของการเดินเข้ามาเป็นตัวแปรที่บังคับให้ตัวตนจำลองมีความฉลาดในการเลือกเส้นทางในระยะสั้นได้ ผลลัพธ์ของการวิเคราะห์สมการพลังงานนั้น ช่วยบ่งบอกลักษณะของการเลือกเส้นทางการเดินที่ดีที่สุด โดยคำนึงถึงความเร็วที่ใช้เพื่อให้ประหยัดพลังงานที่สุด พร้อมๆ กับถึงจุดหมายปลายทางให้เร็วที่สุดด้วย นอกจากนี้ยังพบว่าการนำวิธีที่เสนอนี้ไปใช้ในสถานการณ์แบบหลายทิศทางนั้น ตัวตนจำลองสามารถหาเส้นทางที่เหมาะสมกว่าเมื่อเทียบกับวิธีก่อนอีกด้วย ยกตัวอย่าง เช่น ตัวตนจำลองสามารถเดินแทรกเข้าไปในช่องแคบๆ ของขบวนพาเหรดได้ เป็นต้น

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Development Of Eeg-Based Emotion Classification Using Deep Learning Networks, Suwicha Jirayucharoensak Jan 2018

Development Of Eeg-Based Emotion Classification Using Deep Learning Networks, Suwicha Jirayucharoensak

Chulalongkorn University Theses and Dissertations (Chula ETD)

Emotion classification is one of essential tasks for Human Computer Interaction (HCI) to make computers more efficiently interact with their users. Electroencephalogram (EEG) signals, associated with cognitive states of emotions, propagate though a complex hierarchy of neuron cells. Therefore, EEG-based emotion classification requires sophisticated learning algorithms that can represent high-level abstraction of a complicated task. This dissertation focuses on applying deep learning networks (DLNs) to enhance accuracy performance of the EEG-based emotion classification system. The DLN provides hierarchical feature learning methodology which is suitable for EEG-related feature learning algorithms. Furthermore, this research investigates the effects of temporal neural dynamics of …

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Multi-Paths Quest Generation For Structural Analysis, Thongtham Chongmesuk Jan 2018

Multi-Paths Quest Generation For Structural Analysis, Thongtham Chongmesuk

Chulalongkorn University Theses and Dissertations (Chula ETD)

Existing quest generation systems that used quest structures had an important limitation. They were not compatible with dynamic environment games, where player actions may have unforeseen repercussion from chain-reaction, such as locking the quest or preventing it from being completed. In addition, quests generated by such systems were not guaranteed to have multiple completion paths.
In this thesis, action-based-objective quests were replaced with game state-based-objective quests, while retaining the previous grammar rule. Each quest's contents and objectives were filled using Token system and Full Condition State system to ensure the connectivity within the quest's contents and to prevent players from …

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Fully Automatic 3d Facial Cosmetic Surgery Simulation, Adawat Chanchua Jan 2018

Fully Automatic 3d Facial Cosmetic Surgery Simulation, Adawat Chanchua

Chulalongkorn University Theses and Dissertations (Chula ETD)

Before cosmetic surgery procedures, the patients are commonly involved in the consultation process using interviews and reference images. The reference images typically consist of pre-post surgery images of other patients, leading to misunderstandings between patients and the surgeon. This thesis presents a fully automatic pipeline to simulate the whole face of post-surgery results. We first establish a 3D face registration and alignment based on the face surgery procedures of the current day and then generate the delta image. We proposed the delta image to solve the lack of dataset dilemma of the pre-post surgery face images. We also propose a …

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Failure Prediction In Open-Hole Wireline Logging Of Oil And Gas Drilling Operation Using Support Vector Machine., Maylada Pootisirakorn Jan 2018

Failure Prediction In Open-Hole Wireline Logging Of Oil And Gas Drilling Operation Using Support Vector Machine., Maylada Pootisirakorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

The failure of open-hole wireline logging leads to an unexpected cost and time that add to drilling operation. The research proposes methods to predict the failure of an open hole wireline logging prior to run the log on actual situation. Three machine learning techniques are used to classify the result of the open-hole wireline logging from drilling process into two classes, a success class and a failure class which represents a well that might have abnormal conditions which can causes the tool stuck during logging. The success class is the normal well that can run logging to target depth without …

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A Scalable Shapelet Discovery For Time Series Classification, Nattakit Vichit Jan 2018

A Scalable Shapelet Discovery For Time Series Classification, Nattakit Vichit

Chulalongkorn University Theses and Dissertations (Chula ETD)

As time series data become more complex and users expect more sophisticated information, numerous algorithms have been proposed to solve these challenges. Among those algorithms to classify time series data, shapelet – a discriminative subsequence of time series data – is considered a practical approach due to its accurate and insightful classification. However, previously proposed shapelet algorithms still suffer from exceedingly high computational complexity, as a result, limiting its scalability to larger datasets. Therefore, in this work propose a novel algorithm that speeds up shapelet discovery process. The algorithm so called "Dual Increment Shapelets (DIS)" is a combination of two-layered …

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Spark Steaming Framework For Large-Scale Multi-Stream Data Analytics, Tanwa Sirisakdiwan Jan 2018

Spark Steaming Framework For Large-Scale Multi-Stream Data Analytics, Tanwa Sirisakdiwan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Real-time streaming applications with multiple heterogeneous data streams have become increasingly popular especially in IoT applications where huge amount of sensors produce large amount of data in the form of data streams. However, many issues still exist, especially in deploying and maintaining these large amounts of data streams. Using Spark Structured Streaming, this research introduces a Spark Streaming framework for multiple heterogeneous data streams which focuses on the ease of deployment and proper scheduling. Our proposed framework is a library that allows the deployment of multiple heterogeneous data stream processing in a single Spark application. Our framework can reduce deployment …

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Classification Of Risk Attitudes From Customer Behavior With Machine Learning, Teeranai Sriparkdee Jan 2018

Classification Of Risk Attitudes From Customer Behavior With Machine Learning, Teeranai Sriparkdee

Chulalongkorn University Theses and Dissertations (Chula ETD)

Every​ product​ and service in​ the market​ has​ its​ characteristic​ which has an impact on a consumer's decision to buy or use them. The risk is a special characteristic of financial products, so in financial product and service design must use risk as a critical factor. On the other hand, the consumer has different attitudes to the risk which can distinguish in 3 categories viz risk aversion, risk neutral and risk seeking. Therefore, knowing risk attitudes of consumer who is the target market is an important key to define marketing strategy such as designing service and product, campaign, and promotion …

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Lightly-Supervised Learning Methods For One-Class Text Classification, Yiping Jin Jan 2018

Lightly-Supervised Learning Methods For One-Class Text Classification, Yiping Jin

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis introduces a lightly-supervised learning method to train text classifiers with very little manual labelling effort. We adapt two previous state-of-theart lightly-supervised models, generalized expectation (GE) criteria (Druck et al. (2008)) and multinomial naïve Bayes (MNB) with priors (Settles (2011)) to oneclass classification problem. Users just need to label a handful of keywords for the target category. We also combine the two aforementioned models by letting MNB automatically augment the list of GE constraints. In addition, we ensemble two families of classifiers to improve the accuracy further. We successfully applied our model to a real-world problem of online advertising. …

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A Hotel Hybrid Recommendation Method Based On Context-Driven Using Latent Dirichlet Allocation, Weraphat Nimchaiyanan Jan 2018

A Hotel Hybrid Recommendation Method Based On Context-Driven Using Latent Dirichlet Allocation, Weraphat Nimchaiyanan

Chulalongkorn University Theses and Dissertations (Chula ETD)

Recommender systems play an important role in helping users find items that they want. Normally, ratings are used in content-based filtering (CBF) and collaborative filtering (CF) for recommendation. However, only ratings are not enough for recommendation. Thus, contextual information, context driven and Latent Dirichlet Allocation (LDA) are used to improve recommendation. Also, the context of individual user has changed in the timeline (context-driven). In this work, a hotel hybrid recommendation method (CF+CBF) based on context-driven using LDA is proposed. Firstly, we find missing user ratings of user-hotel rating matrix by applying LDA on user ratings in order to get predicted …

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Using N-Alkane As A Proxy To Reconstruct Paleoenvironment In Thale Noi, Phatthalung Province, Assuma Sainakum Jan 2018

Using N-Alkane As A Proxy To Reconstruct Paleoenvironment In Thale Noi, Phatthalung Province, Assuma Sainakum

Chulalongkorn University Theses and Dissertations (Chula ETD)

Normal alkane (n-alkane) is the widely used hydrocarbon proxy for the paleoenvironmental study because of their specific characteristic and resistance to microbial degradation. The n-alkanes from the sediment cores TLN-CP5 and TLN-CP7 from Thale Noi, Phatthalung Province, were analyzed and subsequently compared with those derived from the recent plant samples. The plant samples were taken from mangrove forests, i.e. true mangrove, back mangrove, and mangrove associate, based on the previous study on pollen analysis. The n-alkane distributions, the average chain length (ACL), the carbon preference index (CPI) and the proportion of aquatic components (Paq) were further analyzed in order to …

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Lithological Classification By Deep Learning Algorithm, Worapop Thongsame Jan 2018

Lithological Classification By Deep Learning Algorithm, Worapop Thongsame

Chulalongkorn University Theses and Dissertations (Chula ETD)

Six machine learning algorithms are used to classify subsurface rocks based on fifteen well logging features from four geothermal wells in the Snake River Plain, Idaho, USA. Two experimental designs, single- and multiple-well tests, are developed to determine the most optimal model and hyperparameters. The single-well test randomly assigns the data in each well into 70% for training set, 10% for validation set, and 20% for test set. The multiple-well test combines data from three wells and splits the data in the fourth well into 70% for training set, 10% for validation set, and 20% for test set. Results show …

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How Far From The Train Station Should We Tax? An Empirical Study Based On Value Capture Method, Nanthawat Ouysinprasert Jan 2018

How Far From The Train Station Should We Tax? An Empirical Study Based On Value Capture Method, Nanthawat Ouysinprasert

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aims to present a way to earn income for the government through the expansion of the property tax base. It basically collects tax from the asset owners that benefit from the increased value in the development of public infrastructure. There are two important objectives: First, the author wants to analyze the economic impact that occurs from the presence of the train station and other relating factors on the value of housing. Second, the author desires to apply the value capture method to create a tax model. The sample group is 511 residential buildings located within a radius of …

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An Improvement Of Photovoltaic Power Forecasting From Numerical Weather Prediction, Supachai Suksamosorn Jan 2018

An Improvement Of Photovoltaic Power Forecasting From Numerical Weather Prediction, Supachai Suksamosorn

Chulalongkorn University Theses and Dissertations (Chula ETD)

This thesis presents forecasting models for improving the hourly predicted solar power from Numerical Weather Prediction (NWP) in one day horizon. A practical constraint is that the models must provide the predicted solar power before 14.00 hrs daily so that the Short-term Operation Planning Section, Generation Operation Planning Department, Power System Control and Operation Division, Electricity Generating Authority of Thailand can use the prediction to plan dispatching of the next day. Available data used in this research are from two sources: local weather measurements and power meter installed at the top of Electrical Engineering Building, Faculty of Engineering, Chulalongkorn University …

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Warehouse Layout Design For A Metal Conduit Manufacturer, Atiyot Pattarakulprasit Jan 2018

Warehouse Layout Design For A Metal Conduit Manufacturer, Atiyot Pattarakulprasit

Chulalongkorn University Theses and Dissertations (Chula ETD)

Nowadays, warehouse layout problems become a common problem for every organization, especially in conduit businesses. Finding an appropriate space to store the products, transporting the products in and out of the warehouse or even an effective way of using material-handling, for example, an overhead crane, is the most relevant topics that can cause a lot of costs and time for the organizations. To resolve these problems, the simulation is built to see the consequences of altering the position of conduit in the warehouse. For each layout design in the simulation is built based on the information provided by the conduit …

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Surface Roughness Improvement For Passenger Car Hood Die Manufacturing Process, Worachet Onngam Jan 2018

Surface Roughness Improvement For Passenger Car Hood Die Manufacturing Process, Worachet Onngam

Chulalongkorn University Theses and Dissertations (Chula ETD)

Surface roughness of a die is a crucial factor for making a high-quality car hood. This research thesis is made for improving die surface quality in die manufacturing process. If the performance of milling process is not enough, it consumes a lot of time for doing polishing and might result in poor die quality that does not meet customer's need. Therefore, the purpose of this research is to improve the CNC milling process. Tools used for milling and all relate parameters are studied in order to figure out the most appropriate condition for the finish milling process. Nowadays, a 1-blade …

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Selected Appropriate Decision Support Tool For Sustainable Rain-Fed Agriculture Referenced To The New Theory Of His Majesty King Bhumibol Adulyadej The Great: A Case Study Of Khao Wong District, Kalasin Province Of Thailand, Anutra Wannaviroj Jan 2018

Selected Appropriate Decision Support Tool For Sustainable Rain-Fed Agriculture Referenced To The New Theory Of His Majesty King Bhumibol Adulyadej The Great: A Case Study Of Khao Wong District, Kalasin Province Of Thailand, Anutra Wannaviroj

Chulalongkorn University Theses and Dissertations (Chula ETD)

Thailand is an agricultural country of which almost 80% of the total agricultural land is rain-fed. An on-farm pond, which is a self-reliant small-scale water source for harvesting the rainwater to be used for the whole year, becomes radical for farmers in this area. These farmers need to select the agricultural water management scheme which uses limited rainwater harvested in the on-farm pond efficiently and productively to fulfill their household needs, which will lead to sustainable rain-fed agriculture. Therefore, the study aimed to select an appropriate decision support tool for sustainable rain-fed agriculture referenced to the New Theory of His …

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Comparative Analysis Of Community Solar Projects Between Thailand And Japan, Masataka Yamashita Jan 2018

Comparative Analysis Of Community Solar Projects Between Thailand And Japan, Masataka Yamashita

Chulalongkorn University Theses and Dissertations (Chula ETD)

Community-solar (CS) has appeared as a new solar PV ownership model in the word, in which the business model of CS should vary depending on each country's context. Various unique factors of each country such as the design of the government's support, characteristics of the community, and business custom may have an impact on how community members benefit from CS projects. The objective of this research is to compare the implemented CS projects in Thailand and Japan and to provide policy recommendation on CS for both countries based on comparison for contribution to further development of CS. The selected case …

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