Physical Sciences and Mathematics Commons^™

Some Properties Of Extending Hypermodules, C11-Hypermodules And T-Extending Hyperrings, Chokchai Wongyai

Chulalongkorn University Theses and Dissertations (Chula ETD)

In this research, extending hypermodules, C11-hypermodules and t-extending hyperrings are defined and studied. We characterize extending hypermodules, C11-hypermodules and t-extending hyperrings in many ways under some conditions of hypermodules and hyperrings. Moreover, some properties concerning subhypermodules of extending hypermodules and C11-hypermodules are investigated. Especially, we study C11-hypermodules in the case that they can be decomposed as a direct sum of two subhypermodules.

Synthesis Of Modified Nickel Iron Layered Double Hydroxides To Enhance Electrochemical Properties For Supercapacitor, Machima Mongkhonratanachai

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research aimed to synthesize Mn-doped NiFe LDHs in order to decrease resistivity, which can result in an increase in specific capacity. Mn-doped NiFe LDHs were synthesized using simple coprecipitation method at 50 oC for 6 hours. Their characteristics were confirmed by ICP, XRD, SEM-EDX and FTIR. Electrochemical measurements such as CV and GCD were employed to evaluate their specific capacities. Current voltage relationship and EIS were used to analyse electrochemical properties and resistivities. Through the doping manganese, the specific capacity could be altered. Investigated by CV, the specific capacity of Ni: Fe: Mn 3: 2: 0.98 and 3: 2: …

Relationships Among Mineralogy, Geochemistry, And Oil And Gas Production In The Tuscaloosa Marine Shale, Hayley Roxana Beitel

Masters Theses

"The Tuscaloosa Marine Shale (TMS) is an unconventional shale reservoir located in southeast Louisiana and southwest Mississippi. Limited mineralogical and geochemical data for the TMS have been published. The data that do exist indicate that the formation is heterogeneous. Consequently, previous investigators and oil and gas companies have not managed to effectively link mineralogical and chemical changes to oil and gas production in the TMS. These linkages are critical to establish for future exploration efforts. In this study, we attempt to establish these relationships by gathering all existing mineralogical and chemical data in the TMS, including newly acquired data from …

Predator Scent And Presence Alter Mammal Assemblages In The Missouri Ozarks, Usa, Cara Jean Yocom-Russell

Masters Theses

"Species that are vulnerable to predation exhibit a host of behavioral and physiological adaptations toward the avoidance of this outcome: Heightened awareness of surroundings through visual, olfactory, and auditory senses are common ways in which these species avoid detection by predators. While links between direct predator-prey relationships are well established, less is known about how predators can shape overall community structure or the populations of secondary or less frequently consumed prey items. As humans expand into rural areas, the frequency of wildlife conflicts rises. In response, humans look to prevent these events with a variety of methods. One such method …

Prediction Intervals For Fractionally Integrated Time Series And Volatility Models, Rukman Ekanayake

Doctoral Dissertations

"The two of the main formulations for modeling long range dependence in volatilities associated with financial time series are fractionally integrated generalized autoregressive conditional heteroscedastic (FIGARCH) and hyperbolic generalized autoregressive conditional heteroscedastic (HYGARCH) models. The traditional methods of constructing prediction intervals for volatility models, either employ a Gaussian error assumption or are based on asymptotic theory. However, many empirical studies show that the distribution of errors exhibit leptokurtic behavior. Therefore, the traditional prediction intervals developed for conditional volatility models yield poor coverage. An alternative is to employ residual bootstrap-based prediction intervals. One goal of this dissertation research is to develop …

Crustal And Upper Mantle Structure Beneath The Southeastern United States From Joint Inversion Of Rayleigh Wave Dispersion And Receiver Functions, Qiuyue Yang

Doctoral Dissertations

"In spite of numerous geophysical investigations have been conducted in southeastern United States, the structure and evolution of the crust and lithospheric mantle remain controversial due the thick sedimentary covers atop the crust of the coastal plains there. In this study, we use data from 186 broadband seismic stations belonging to the USArray Transportable Array to construct a 3-D shear wave velocity model for the southeastern United States for the top 180 km by a joint inversion of Rayleigh wave phase velocity dispersion and receiver functions. Our results show a clear spatial correspondence with major surficial geological features. A prominent …

High Throughput Analysis To Study Emerging Pollutants And Nanoparticle Fate In Biological Systems, Xiaolong He

Doctoral Dissertations

”The increasing applications of emerging and fugitive contaminants (EFCs) and engineered nanoparticles (ENPs) attract significant research interest for their potential risks to human health and the environment. In order to assess the health risks of these emerging contaminants, rapid and reliable analytical methods to measure the concentrations and fates of these contaminants are imperative. This dissertation focuses on the developments of advanced analytical methods and their applications to study those emerging contaminants in crop plant and simulated gastric fluid (SGF). Three types of mass spectrometry based methodologies have been developed, one is freeze-thaw/centrifugation extraction followed by high performance liquid chromatography …

Improved Secure And Low Computation Authentication Protocol For Wireless Body Area Network With Ecc And 2d Hash Chain, Soohyeon Choi

Electronic Theses and Dissertations

Since technologies have been developing rapidly, Wireless Body Area Network (WBAN) has emerged as a promising technique for healthcare systems. People can monitor patients’ body condition and collect data remotely and continuously by using WBAN with small and compact wearable sensors. These sensors can be located in, on, and around the patient’s body and measure the patient’s health condition. Afterwards sensor nodes send the data via short-range wireless communication techniques to an intermediate node. The WBANs deal with critical health data, therefore, secure communication within the WBAN is important. There are important criteria in designing a security protocol for a …

Quantification Of Climate Variability And Extreme Events In The Great Plains, Angelinah Ntsieng Rasoeu

Electronic Theses and Dissertations

Climate variability and extreme events continue to worsen resulting in significant impacts to society and the environment. Quantifying precipitation variability, streamflow, and extreme events at local scale is crucial for local planning and management due to spatial and temporal precipitation variability which influences streamflow and thus, water resources. This study uses statistical tools to analyze 1895-2019 (125 years) of historical precipitation data to examine how long-term precipitation varies annually, seasonally, and monthly, and create climate classifications. The results show that annual precipitation is increasing linearly over time ranging from 13.2 in (1976) to 43.1 in (2010) and 5 climate classes …

Spatial And Temporal Patterns Of Sympatric Bobcats (Lynx Rufus) And Coyotes (Canis Latrans) In An Agricultural Landscape, Marlin M. Dart

Electronic Theses and Dissertations

Bobcat (Lynx rufus) populations experienced declines in the Midwest during the 20th century due to land conversion for agriculture and over exploitation and were practically nonexistent in areas by the 1970-80s. Populations have been recovering following changes in land-use practices and habitat improvement. Eastern South Dakota was closed to bobcat harvest in 1977 but reopened in 2012 to select counties. Bobcats are elusive, have large home ranges, and occur at low densities, making monitoring their populations difficult. Camera trapping is an effective tool for monitoring elusive carnivores but can be burdened by low detection rates. Researchers often employ …

Therapeutic Immunoglobulin G Surface Mobility Promotes Antibody-Dependent Cellular Phagocytosis By Arp2/3 And Syk Mediated Rearrangement Of Fcγ Receptors, Seongwan Jo

Electronic Theses and Dissertations

Therapeutic antibodies are rapidly growing class of drugs for treating cancers and immunological disorders by targeting specific antigens or blocking certain pathway to inhibit the tumor growth. In cancer immunotherapy, it was found that Fcγ receptor (FcγR) in immune cells play an important role in antibody dependent cell toxicity against tumor cells. Therefore, understanding FcγR activation mechanism, which requires ligation with immunoglobulin (IgG), is crucial to enhance potency of therapeutic antibodies. One crucial immune responses triggered upon FcγR ligation with IgG is phagocytosis which indicates clearing targets by engulfment. It is known that FcγRs form microclusters which gets rearranged during …

Development Of A Probabilistic Multi-Class Model Selection Algorithm For High-Dimensional And Complex Data, Madeline Anne Ausdemore

Electronic Theses and Dissertations

The development of quantifiable measures of uncertainty in forensic conclusions has resulted in the debut of several ad-hoc methods for approximating the weight of evidence (WoE). In particular, forensic researchers have attempted to use similarity measures, or scores, to approximate the weight of evidence characterized by highdimensional and complex data. Score-based methods have been proposed to approximate theWoE for numerous evidence types (e.g., fingerprints, handwriting, inks, voice analysis). In general, scorebased methods consider the score as a projection onto the real line. For example, the score-based likelihood ratio evaluates and compares the likelihoods of a score calculated between two objects …

Lightweight Encryption Based Security Package For Wireless Body Area Network, Sangwon Shin

Electronic Theses and Dissertations

As the demand of individual health monitoring rose, Wireless Body Area Networks (WBAN) are becoming highly distinctive within health applications. Nowadays, WBAN is much easier to access then what it used to be. However, due to WBAN’s limitation, properly sophisticated security protocols do not exist. As WBAN devices deal with sensitive data and could be used as a threat to the owner of the data or their family, securing individual devices is highly important. Despite the importance in securing data, existing WBAN security methods are focused on providing light weight security methods. This led to most security methods for WBAN …

Quantifying The Impacts Of Land Use, Management And Climate Change On Water Resources In Missouri River Basin, Arun Bawa

Electronic Theses and Dissertations

A location-specific evaluation of hydrological landscape responses concerning past and projected climate and land use land cover (LULC) changes can provide a powerful intellectual basis for developing efficient and profitable agroecosystems, and overcoming uncertain and detrimental consequences of LULC and climate shifts. This dissertation assessed the impacts of land use, management, and climate change on water resources in the Missouri River Basin (MRB) through four specific studies that included: (i) to study the responses of leached nutrient concentrations and soil health to winter rye cover crop (CC) under no-till corn (Zea mays L.)-soybean [Glycine max (L.) Merr.] rotation, (ii) to …

Analysis Of Volatile Organic Compounds: Petroleum Emissions And Microbial Degradation, A K M Ahsan Ahmed

Electronic Theses and Dissertations

Volatile organic compounds (VOCs) are abundant in nature and can occur in various forms in a wide variety of sources. Petroleum is one of the major sources of VOCs. Petroleum being the most widely used energy resources of the world, often released to the environment due to emission and leakage or accidental spillage during exploration, transportation and manufacturing. Once released to the environment, petroleum poses a serious threat to the environment due to some of its toxic organic components. Therefore, the analysis of petroleum is critical to understand its effect on the environment and remediation. This dissertation is focused on …

Assaying Bacillus Amyloliquefaciens Isolates 1ba And 1d3 For Biosurfactant Production And Utilization Of Petroleum Hydrocarbons And Phenolic Acids, Pavan Kulkarni

Electronic Theses and Dissertations

Several Bacillus amyloliquefaciens isolates obtained from wheat residue have been studied as biological agents to control wheat diseases. Notable traits of isolates 1BA and 1D3 include growth with high salt (10% NaCl), at temperatures up to 50°C and over a wide pH range. BIOLOG Gen III plates were used to study and further characterize Bacillus amyloliquefaciens 1BA and 1D3. Both isolates showed tolerance to high salt concentration supporting previous studies. They also grew in the presence of lithium chloride, potassium tellurite, and sodium bromate. Both isolates grew at pH 5, with almost identical carbon source utilization fingerprints. However, D-serine, quinic …

Parallelizing Dijkstra's Algorithm, Mengqing He

Culminating Projects in Computer Science and Information Technology

Dijkstra’s algorithm is an algorithm for finding the shortest path between nodes in a graph. The algorithm published in 1959 by Dutch computer scientist Edsger W. Dijkstra, can be applied on a weighted graph. Dijkstra’s original algorithm runtime is a quadratic function of the number of vertices.

In this paper, I will investigate the parallel formulation of Dijkstra’s algorithm and its speedup against the sequential one. The implementation of the parallel formulation will be performed by Message Passing Interface (MPI) and Open Multi-Processing (OpenMP). The results gained indicated that the performance of MPI and OpenMP to be significantly better than …

Ambient Prime Geodesic Theorems On Hyperbolic 3-Manifolds, Lindsey A. Dever, Djordje Milićević

Mathematics Faculty Research and Scholarship

We prove prime geodesic theorems counting primitive closed geodesics on a compact hyperbolic 3-manifold with length and holonomy in prescribed intervals, which are allowed to shrink. Our results imply effective equidistribution of holonomy and have both the rate of shrinking and the strength of the error term fully symmetric in length and holonomy.

Indeterminacy In Neutrosophic Theories And Their Applications, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

Indeterminacy makes the main distinction between fuzzy / intuitionistic fuzzy (and other extensions of fuzzy) set / logic vs. neutrosophic set / logic, and between classical probability and neutrosophic probability. Also, between classical statistics vs. neutrosophic and plithogenic statistics, between classical algebraic structures vs. neutrosophic algebrais structures, between crisp numbers vs. neutrosophic numbers. We present a broad definition of indeterminacy, various types of indeterminacies, and many practical applications.

Neutrosophic Dynamic Set, A. A. Salama, K. F. Alhasan, H. A. Elagamy, Florentin Smarandache

Branch Mathematics and Statistics Faculty and Staff Publications

In this paper, we introduced the concept of the dynamic set according to modern logic, is neutrosophic logic. We study the neutrosophic dynamic set according to time and random variable depended on dynamic set. Neutrosophic dynamic is a dynamic analysis of a sequence of data through of time. It used in many problems in life such as a mathematical statistic, philosophy, medicine, engineering. Some examples and notes are presented.

Occam Manual, Martin Zwick

Systems Science Faculty Publications and Presentations

Occam is a Discrete Multivariate Modeling (DMM) tool based on the methodology of Reconstructability Analysis (RA). Its typical usage is for analysis of problems involving large numbers of discrete variables. Models are developed which consist of one or more components, which are then evaluated for their fit and statistical significance. Occam can search the lattice of all possible models, or can do detailed analysis on a specific model.

In Variable-Based Modeling (VBM), model components are collections of variables. In State-Based Modeling (SBM), components identify one or more specific states or substates.

Occam provides a web-based interface, which …

Unsupervised Representation Learning By Predicting Random Distances, Hu Wang, Guansong Pang, Chunhua Shen, Congbo Ma

Research Collection School Of Computing and Information Systems

Deep neural networks have gained great success in a broad range of tasks due to its remarkable capability to learn semantically rich features from high-dimensional data. However, they often require large-scale labelled data to successfully learn such features, which significantly hinders their adaption in unsupervised learning tasks, such as anomaly detection and clustering, and limits their applications to critical domains where obtaining massive labelled data is prohibitively expensive. To enable unsupervised learning on those domains, in this work we propose to learn features without using any labelled data by training neural networks to predict data distances in a randomly projected …

Learning Adl Daily Routines With Spatiotemporal Neural Networks, Shan Gao, Ah-Hwee Tan, Rossi Setchi

Research Collection School Of Computing and Information Systems

The activities of daily living (ADLs) refer to the activities performed by individuals on a daily basis and are the indicators of a person’s habits, lifestyle, and wellbeing. Learning an individual’s ADL daily routines has significant value in the healthcare domain. Specifically, ADL recognition and inter-ADL pattern learning problems have been studied extensively in the past couple of decades. However, discovering the patterns performed in a day and clustering them into ADL daily routines has been a relatively unexplored research area. In this paper, a self-organizing neural network model, called the Spatiotemporal ADL Adaptive Resonance Theory (STADLART), is proposed for …

การประยุกต์ใช้กากหม้อกรองเหลือทิ้งจากโรงงานน้ำตาลด้วยกระบวนการไฮโดรเทอร์มอลคาร์บอไนเซชันเพื่อบำบัดน้ำเสียของโรงงาน, รัชมล วิธูวัฒนา

Chulalongkorn University Theses and Dissertations (Chula ETD)

กากหม้อกรองเป็นวัสดุเหลือทิ้งจากโรงงานน้ำตาลซึ่งมีจำนวนมาก และมีปริมาณคาร์บอนที่สูง งานวิจัยนี้ได้ศึกษาความเป็นไปได้ในการนำกากหม้อกรอง มาผลิตเป็นวัสดุดูดซับด้วยกระบวนการไฮโดรเทอร์มอลคาร์บอไนเซชัน โดยศึกษาปัจจัยที่มีผล ได้แก่ อุณหภูมิ (200, 250, 300 °C) ระยะเวลาทำปฏิกิริยา (1, 2, 3 ชั่วโมง) และอัตราส่วนกากหม้อกรองต่อน้ำ (1:5, 1:10, 1:15) โดยผลผลิตที่ได้เรียกว่า ไฮโดรชาร์ และนำไฮโดรชาร์ที่ได้มาทดสอบการดูดซับสีในน้ำเสียจริงจากโรงงานน้ำตาลที่สภาวะค่าความเป็นกรด-ด่างจริง (pH = 4.18) และ ±2 จากค่าความเป็นกรด-ด่างจริง (pH = 6.18, 2.18) ผลการศึกษาพบว่า ไฮโดรชาร์ที่อุณหภูมิ 300 องศาเซลเซียส เวลาทำปฏิกิริยา 1 ชั่วโมง และอัตราส่วนชีวมวลต่อน้ำกลั่น 1:10 สามารถใช้เป็นตัวดูดซับที่ดี โดยไฮโดรชาร์ดังกล่าวมีค่าผลผลิตที่ได้ร้อยละ 57.73 โดยน้ำหนัก ค่าไอโอดีนนัมเบอร์เท่ากับ 273.37 มิลลิกรัมต่อกรัม และค่าไอโอดีนนัมเบอร์สุทธิเท่ากับ 153.09 มิลลิกรัมต่อกรัม ในส่วนของการศึกษาการดูดซับ พบว่า เวลาเข้าสู่สมดุลการดูดซับสีของไฮโดรชาร์เกิดขึ้นอย่างรวดเร็ว (น้อยกว่า 1 นาที) และประสิทธิภาพในการกำจัดสีในน้ำเสียจริงจากโรงงานน้ำตาลในสภาวะปกติได้ร้อยละ 70.84 นอกจากนี้ได้ทำการทดลองในคอลัมน์จำลอง พบว่าปริมาตรน้ำเสียที่ไฮโดรชาร์สามารถดูดซับสีได้ค่าสีต่ำกว่ามาตรฐานน้ำทิ้งเท่ากับ 40 มิลลิลิตร ที่อัตราการไหล 0.5 มิลลิลิตรต่อนาที โดยมีค่าสีเท่ากับ 274 ADMI

การทดสอบประสิทธิภาพการแบ่งข้อมูลตัวแปรเดียวด้วยการใช้การแบ่งช่วงธรรมชาติเจงค์แบบซ้ำ, วิชญ์ยุตม์ สุขแพทย์

Chulalongkorn University Theses and Dissertations (Chula ETD)

การแบ่งช่วงธรรมชาติเจงค์เป็นวิธีการจัดกลุ่มข้อมูลที่ได้รับความนิยม งานวิจัยนี้ได้นำการแบ่งช่วงธรรมชาติเจงค์มาปรับใช้ด้วยการเพิ่มจำนวนกลุ่มที่ใช้แบ่งเรื่อย ๆ จนกว่าจุดแบ่งแรกของการแบ่งช่วงธรรมชาติเจงค์จะเปลี่ยนแปลงไปน้อยกว่าค่าร้อยละที่กำหนดและใช้จุดแบ่งแรกนั้นในการแบ่งข้อมูลออกเป็น 2 กลุ่ม จากการทดสอบประสิทธิภาพด้วยการจำลองข้อมูลตัวแปรเดียวที่มีการแจกแจงในรูปแบบการแจกแจงปกติแบบผสมและการแจกแจงล็อกปกติแบบผสม 2 กลุ่มและเปรียบเทียบกับวิธีการแบ่งกลุ่มข้อมูลอื่น ๆ พบว่าการแบ่งช่วงธรรมชาติเจงค์แบบซ้ำนั้นไม่มีประสิทธิภาพในการแบ่งข้อมูลแจกแจงปกติแบบผสมเมื่อต้องการให้ได้ความแม่นยำสูงสุด และเหมาะสมกับการใช้ในข้อมูลแจกแจงล็อกปกติแบบผสมเมื่อข้อมูล 2 กลุ่มมีจำนวนใกล้เคียงกันหรือกลุ่มที่ค่าเฉลี่ยสูงกว่ามีจำนวนมากกว่า นอกจากนี้การแบ่งช่วงธรรมชาติเจงค์แบบซ้ำใช้เวลาในการแบ่งกลุ่มกว่าวิธีอื่นมาก จึงไม่เหมาะสมที่จะนำมาใช้หากข้อมูลมีจำนวนมาก

Crescent Lake 2021 Water Quality Highlight Report, Amanda Mcquaid, Robert Craycraft

UNH Cooperative Extension

A Water Quality Highlight Report by UNH CE Lakes Lay Monitoring Program for Crescent Lake in Wolfeboro, NH in 2021.

Evaluation And Assessment Of The Near Field Behind 3d Printed-Modulators For Proton Beam Therapy, Warisara Charuchinda

Chulalongkorn University Theses and Dissertations (Chula ETD)

A 3D-printed modulator is an innovation developed for particle therapy delivery systems that enables a highly conformal and homogeneous dose distribution around the tumor within a very short irradiation time. In normal cases, the modulators are positioned far from the patient in order to avoid the field inhomogeneity resulting from the periodic structure of the modulators on patient’s skin. However, a smaller distance between the modulator and patient would provide a better dose conformation in the target volume. In this thesis, the FLUKA Monte Carlo simulation program was used to investigate the fluence distributions of protons penetrating through 3D-printed modulators …

A Development Of Disaster Risk Profile In Public Healthcare System During Flood Situation : A Case Study Of Nakhon Sawan City Municipality, Nakhon Sawan Province, Thailand, Kodchakorn Krutphong

Chulalongkorn University Theses and Dissertations (Chula ETD)

This research begins with the idea of the disaster risk assessment included in the disaster management’s well recognized international framework, the Sendai Framework for Disaster Risk Reduction. Then, the idea settles from the risk assessment concept combined with the emergency management knowledge that has the critical infrastructure topic, including the public healthcare system. The flood disaster is the kind of disaster that frequently occurs in Thailand and the study area, Nakhon Sawan City Municipality. Thus, this research aims to study disaster risk profiles in the public healthcare system in a specific local area. The outcome from this research is the …

Automatic Cardioembolic Stroke Prediction Using Clinical Features And Non-Contrast Ct Images, Pasit Jakkrawankul

Chulalongkorn University Theses and Dissertations (Chula ETD)

Cardioembolic stroke is a dangerous subtype of ischemic stroke. The patients with this subtype need special treatments to prevent recurrent events. The prevention is vital since only one more event could result in fatal damage. Hence, the classification into the categories of cardioembolic and non-cardioembolic subtypes is essential. We developed a multimodal machine learning model that can integrate the basic clinical information and non-contrast CT images to predict the risk of cardioembolic stroke. Our method reached the areas under the receiver operating characteristic curve (ROC-AUC) of 0.840 by using a dataset of only 227 samples of stroke patients. Besides the …

Production Line Process Improvement With Process Reengineering - A Case Study In Garment Factory, Yanin Palasri

Chulalongkorn University Theses and Dissertations (Chula ETD)

The production process concerns in ABC manufacturing are failing to meet daily production targets and having low productivities. Business Process Reengineering (BPR) is a method of employing process redesign heuristics to improve an existing production line process using an evaluation approach and fit-gap analysis. A simulation tool is used to model the production process redesign. After adopting the provided approach and conducting the simulation, the company's production productivity and service level increases by about 45 percent. To get the required simulation results, critical measurements such as manufacturing capacity and lead time are used. This research demonstrates the redesign production process …