Engineering Commons^™

Modeling And Prioritizing Interventions Using Pollution Hotspots For Reducing Nutrients, Atrazine And E. Coli Concentrations In A Watershed, Olufemi Abimbola, Aaron Mittelstet, Tiffany L. Messer, Elaine Berry, Ann Van Griensven

Biosystems and Agricultural Engineering Faculty Publications

Excess nutrients and herbicides remain two major causes of waterbody impairment globally. In an attempt to better understand pollutant sources in the Big Sandy Creek Watershed (BSCW) and the prospects for successful remediation, a program was initiated to assist agricultural producers with the implementation of best management practices (BMPs). The objectives were to (1) simulate BMPs within hotspots to determine reductions in pollutant loads and (2) to determine if water-quality standards are met at the watershed outlet. Regression-based load estimator (LOADEST) was used for determining sediment, nutrient and atrazine loads, while artificial neural networks (ANN) were used for determining E. …

What Are The Dominant Flow Regimes During Carbon Dioxide Propagation In Shale Reservoirs’ Matrix, Natural Fractures And Hydraulic Fractures?, Sherif Fakher, Youssef Elgahawy, Hesham Abdelaal, Abdulmohsin Imqam

Geosciences and Geological and Petroleum Engineering Faculty Research & Creative Works

Carbon dioxide (CO₂) injection in low permeability shale reservoirs has recently gained much attention due to the claims that it has a large recovery factor and can also be used in CO₂ storage operations. This research investigates the different flow regimes that the CO₂ will exhibit during its propagation through the fractures, micropores, and the nanopores in unconventional shale reservoirs to accurately evaluate the mechanism by which CO₂ recovers oil from these reservoirs. One of the most widely used tools to distinguish between different flow regimes is the Knudsen Number. Initially, a mathematical analysis of …

Smart And Emerging Technologies: Shaping The Future Of The Industry And Offsite Construction, Rayan H. Assaad, Islam H. El-Adaway, Makarand Hastak, Kim La Scola Needy

Civil, Architectural and Environmental Engineering Faculty Research & Creative Works

The interest in smart, emerging technologies and offsite construction methods continues to grow. While previous studies investigated different offsite construction aspects, there is still lack of research work that explored the current and future use of smart and emerging technologies, especially those used in offsite construction. This study addresses this knowledge gap through a multi-step research methodology. First, a list of 24 technologies was identified. Second, a survey was distributed to study the current use and the experts' future perceptions of the identified technologies in offsite construction. Third, descriptive statistics and computational clustering analysis were used to quantify and classify …

A Model For Crafting Diversity, Inclusion, Respect, And Equity (Dire) Policy Statements Toward Catalyzing Organizational Change, Carolyn Gentle-Genitty, Breanca Merrit, Ann C. Kimble-Hill

Founder’s College - Scholarship and Professional Work

In light of the Black Lives Matter movement, the Science, Technology, Engineering, and Mathematics (STEM) community has had to reflect on how their organizations can address their disparities in identity representation. To that end, the ACS Committee on Minority Affairs (CMA) has been called upon to advise various levels of the chemistry enterprise in their interventions, such as structured and actionable policy statements. As a result, this work was created to provide a model for all organizations to write catalytic diversity, inclusion, respect, and equity (DIRE) policy statements. The model herein acknowledges active tensions and leverages theory, analysis, and practical …

Integrating The Humanities With Engineering Through A Global Case Study Course, Kirsten A. Davis, Siddhant S. Joshi, Lori Czerwionka, Francisco Montalvo, Gabriel O. Rios-Rojas, Joe Tort, Jennifer Marston William, E. Nauman

Journal of International Engineering Education

As the world becomes more connected and globalized, the problems that engineers are called upon to solve are increasingly complex and interdependent. Unfortunately, engineering coursework has traditionally focused on abstract and closed-ended problem solving, offering few opportunities for students to develop these skills. In this practice paper, we argue for the importance of integrating the humanities and engineering to understand the multiple and intersecting layers of context in an engineering project. We then describe the Humanities-Informed Engineering Projects course, which we developed to help students acquire this perspective. The course was piloted in Spring 2021 in response to the obstacles …

Combined Coagulation-Microfiltration Process For Dye Wastewater Treatment, Alexander Ekenatanse Eguagie, Yung-Tse Hung, Howard Hao-Che Paul

Civil and Environmental Engineering Faculty Publications

The performance of combined coagulation-microfiltration process for the removal of dyes in a binary mixture of dye wastewater of varied concentrations and fruit drink wastewater at three different strengths; low (10ppm), medium (50ppm) and high (100ppm) was investigated. Synthetic dye wastewater was prepared in the laboratory while fruit drink wastewater was purchased from the grocery store. Color removal efficiency was also investigated for the three coagulants; Ferric Chloride, Aluminum Sulfate and Ferrous Sulfate. Transmittance and Absorbance values were used as indices to measure the efficacy of the combined coagulation- microfiltration process.

Transmittance and absorbance values of 99.8% and 0.001 respectively …

Algae-Based Beneficial Re-Use Of Carbon Emissions Using A Novel Photobioreactor: A Techno-Economic And Life Cycle Analysis, Michael H. Wilson, Aubrey Shea, John Groppo, Czarena Crofcheck, David Quiroz, Jason C. Quinn, Mark Crocker

Center for Applied Energy Research Faculty and Staff Publications

Despite the many advantages of microalgae, the feasibility of large-scale cultivation requires significant amounts of carbon dioxide (CO2) to enable high growth rates. A synergistic union typically proposed for the supply of CO2 is the coupling of algal cultivation with emissions from power plants. This study investigates the sustainability of a novel microalgae platform coupled with coal-based flue gas. The proposed system consists of a novel photobioreactor (PBR) for the production of biomass followed by a two-stage dewatering process. A systems model, which quantifies the CO2 and energy consumption of the proposed system, was developed, and the minimum biomass selling …

Energy Consumption And Lifecycle Assessment Comparison Of Cutting Fluids For Drilling Titanium Alloy, Navneet Khanna, Prassan Shah, Jwalant Wadhwa, Anjali Pitroda, Julius M. Schoop, Franci Pusavec

Institute for Sustainable Manufacturing Faculty Publications

This study analyzes four cutting conditions (dry, flood, Liquid CO 2 (LCO2), and Liquid N2 (LN 2)) based on energy consumption and ecological impacts for drilling VT-20, a Titanium alloy. The lower cutting and total energy have been consumed for LCO2 as compared to others. The Life Cycle Assessment (LCA) analysis has been performed using ReCiPe 2016 midpoint (H) to identify the impact of cutting conditions on ecosystem, human health, and natural resources. Cryogenic environment with LN 2 has been found as the most ecological cutting condition next to dry machining, while flood coolant has 94-99% of total impact considering …

Low Frequency Oscillations Of Hemodynamic Parameters As A Novel Diagnostic Measure For Traumatic Brain Injury, Andrea Gomez Carrillo

Browse all Theses and Dissertations

There is a need to improve methods of monitoring patients with traumatic brain injury (TBI) in hospital settings. Current monitoring techniques and diagnosis methods are expensive, invasive, do not provide continuous measures, expose the patient to radiation, are ambiguous in the information they provide, and/or cannot be implemented at the bedside. These techniques measure imperative markers of brain function including intracranial pressure (ICP), cerebral blood flow (CBF), and oxygenation in the brain, among others. Hospitals not only require a practical method for real-time monitoring of patients at the bedside, but also meaningful metrics that characterize TBIs, since the variety of …

Hardware Security And Side Channel Power Analysis For 16x16 Booth Multiplier In 65nm Cmos Technology, Kanchan Vissamsetty

Browse all Theses and Dissertations

As feature size is scaling down, dynamic power consumption reduces but static power consumption increases. Due to the increase of static power, leakage currents as a source, the information can be exploited successfully as a side-channel to recover the secrets of the cryptographic implementations. An attacker who has access to the hardware fabrication can insert a Trojan to the design to steal or alter information. In this thesis, a post-fab static voltage variation/detection technique is developed to detect the potential fabrication process Trojan insertion. The technique is, dividing the designed circuit into N equal segments, where each segment would have …

Analysis Of Classifier Weaknesses Based On Patterns And Corrective Methods, Nicholas Skapura

Browse all Theses and Dissertations

Classification is an important branch of machine learning that impacts many areas of modern life. Many classification algorithms (classifiers for short) have been developed. They have highly different levels of sophistication and classification accuracy. Classification problems often have highly different levels of hardness and complexity. Practitioners of classification modeling need better understanding of those algorithms in order to select the optimal algorithm for given classification problems. Researchers of classification need new insight on how given classifiers are weak and how they can be improved by correcting their classification errors. This dissertation introduces new tools and concepts to analyze classifier weakness …

Ab Initio Methylammonium Orientation And Monolayer Effects In Hybrid Perovskite Solar Cells, Jacob M. Artz

Browse all Theses and Dissertations

Methylammonium lead triiodide (MAPbI3) has garnered attention due to their high solar cell efficiencies and low cost to manufacture, but commercialization is not yet possible owing to poor environmental stability. Thus, researchers seek ways which optimize the performance of the MAPbI3 solar cell by modifying the architecture and through interfacial engineering of the charge transport layers. Difficulties in understanding these devices arise from ion migration, charge separation and recombination, and metastable, thermally active precessions of the methylammonium (MA) moiety in the lead iodide framework. In this work, focus is given to the perovskite and an adsorbed monolayer, 2,3,4,5,6-pentafluorothiophenol (C6F5SH), which …

Altered Skeletal Muscle Excitation-Contraction Coupling In The R6/2 Transgenic Mouse Model For Huntington's Disease, Daniel R. Miranda

Browse all Theses and Dissertations

Huntington’s disease (HD) has classically been categorized as a neurodegenerative disorder. However, the expression of the disease-causing mutated huntingtin gene in skeletal muscle may contribute to the symptoms of HD, namely those that involve involuntary muscle contraction. In the R6/2 transgenic mouse model of HD, we previously observed ion channel defects that could contribute to involuntary muscle contraction. Here, in R6/2 muscle we investigated the consequence of these ion channel defects on action potentials (APs), the first step in excitation-contraction (EC) coupling. We found that the ion channel defects were associated with depolarizing the baseline membrane potential during AP trains. …

Orientation And Social Influences Matter: Revisiting Neutralization Tendencies In Information Systems Security Violation, Frank Curtis King

CCAC Theses and Dissertations

It is estimated that over half of all information systems security breaches are due directly or indirectly to the poor security practices of an organization’s employees. Previous research has shown neutralization techniques as having influence on the intent to violate information security policy. In this study, we proposed an expansion of the neutralization model by including the effects of business and ethical orientation of individuals on their tendencies to neutralize and compromise with information security policy. Additionally, constructs from social influences and pressures have been integrated into this model to measure the impact on the intent to violate information security …

Harrisburg University’S Face Shield Response For Health Care Workers, Matthew A. Walters

Experiential Learning Projects

This project was inducted into the Harrisburg University Digital Common's with a submittal event. The recording for this event can be accessed here: Harrisburg University’s Face Shield Response for Health Care Workers Submittal Event Recording

The pandemic has most definitely been a significant factor in how people operate throughout the past few years. The pandemic was first introduced at the end of 2019 and is still a current issue at the end of 2021. Close to the beginning of the pandemic, health care workers had found themselves with a shortage of protective gear to fight against the virus while working …

Biom 4110/6110: The Science Of Medicine (Syllabus), Bradford D. Pendley

Biomedical Engineering Syllabi Archive

Course Description: Integration of fundamental principles from physics, chemistry, biology and mathematics, and applications of these principles to solve problems in medicine.

Biom 1720: Introduction To Biomedical Engineering Tools (Syllabus), Stephen Strain

Biomedical Engineering Syllabi Archive

Course Description: Use of computer tools for data analysis, presentation, documentation; introduction to programming; individual and group design projects.

Implementation Of Model-Free Adaptive Power Flow Control For Dual-Active-Bridge-Based Ac-Dc Converters, Qinghang Shen

All Graduate Theses, Dissertations, and Other Capstone Projects

With the rising energy consumption and environment destruction problems worldwide, the development of renewable energy and energy recapture methods to improve the energy utilization rate has become more important as two of the most efficient processes to solve those problems. Bidirectional AC/DC converter and its modulation strategies are widely used as the essential part of implementing bidirectional power conversion between power grid and energy storage systems. To improve the efficiency and accuracy of the power conversion within AC/DC converters, a stable, robust power flow control system with quick response and disturbance rejection ability is desired. This thesis proposes a model-free …

Mechanical Properties And Spectral Vibrational Response Of Si-O-C With And Without Graphene Toughening, Anthony Vozza

Electronic Theses and Dissertations, 2020-2023

The mechanical behavior of silicon oxycarbide polymer derived ceramics (SiOC-PDC) without and with a graphene toughening phase was studied under uniaxial compressive load with zero dwell time and with 200 second dwell time step loading in combination with in-situ Raman spectroscopy to determine spectral vibrational response of SiOC under compressive stress. SiOC without and with graphene ceramic samples were produced through the replica templating technique. The compressive strengths of SiOC without and with a graphene toughening phase measured with zero dwell time was determined to be equal to 165.65 (SD 54.21) and 163 (SD 24.2) MPa, respectively, while compressive strengths …

Long Short-Term Memory With Spin-Based Binary And Non-Binary Neurons, Meghana Reddy Vangala

Electronic Theses and Dissertations, 2020-2023

Research in the field of neural networks has shown advancement in the device technology and machine learning application platforms of use. Some of the major applications of neural network prominent in recent scenarios include image recognition, machine translation, text classification and object categorization. With these advancements, there is a need for more energy-efficient and low area overhead circuits in the hardware implementations. Previous works have concentrated primarily on CMOS technology-based implementations which can face challenges of high energy consumption, memory wall, and volatility complications for standby modes. We herein developed a low-power and area-efficient hardware implementation for Long Short-Term Memory …

Representative-Based Big Data Processing In Communications And Machine Learning, Mohsen Joneidi

Electronic Theses and Dissertations, 2020-2023

The present doctoral dissertation focuses on representative-based processing proper for a big set of high-dimensional data. Compression and subset selection are considered as two main effective methods for representing a big set of data by a much smaller set of variables. Compressive sensing, matrix singular value decomposition, and tensor decomposition are employed as powerful mathematical tools to analyze the original data in terms of their representatives. Spectrum sensing is an important application of the developed theoretical analysis. In a cognitive radio network (CRN), primary users (PUs) coexist with secondary users (SUs). However, the secondary network aims to characterize PUs in …

The Roles Of Groundwater Table In Catchment Hydrology, Lili Yao

Electronic Theses and Dissertations, 2020-2023

The main goal of this dissertation research is to investigate catchment hydrological processes including infiltration and saturation excess runoff generation with consideration of groundwater table. For the infiltration process, an infiltration Péclet number was proposed to quantify the relative effects of gravity and capillary force on the evolution of infiltration capacity in the special case of the presence of a shallow water table, and a power law functional form of Time Compression Approximation was developed whose exponent was found to vary with the Péclet number. For the saturation excess runoff process, a new probability distribution model based on the SCS …

Enhancing Preservice Teachers' Intention To Integrate Engineering Through A Multi-Disciplinary Partnership (Evaluation), Francisco Cima, Pilar Pazos, Jennifer Jill Kidd, Kristie S. Gutierrez, Stacie I. Ringleb, Orlando M. Ayala, Krishnanand Kaipa

Engineering Management & Systems Engineering Faculty Publications

Driven by the need to broaden participation and increase recruitment in STEM fields, considerable efforts are underway to promote the infusion of engineering into elementary and secondary grade levels. The benefits of engineering education and the strong support from professional and educational groups are well documented, yet the actual integration of engineering content in the K-12 setting remains a challenge. Pre-college educator programs that train future teachers are a natural target for the integration efforts. Although elementary educators recognize the importance of integrating engineering in their classrooms, they often lack the confidence to teach engineering content. The absence of effective …

การจัดสรรแหล่งผลิตไฟฟ้าแบบกระจายหลายตำแหน่งในระบบจำหน่ายไฟฟ้าแบบเรเดียลโดยพิจารณาการลดการสูญเสียกำลังไฟฟ้าและการจำกัดปริมาณการรับซื้อไฟฟ้า, กฤตภาส เพียรวิบูลย์

Chulalongkorn University Theses and Dissertations (Chula ETD)

วิทยานิพนธ์ฉบับนี้ได้ศึกษาการหาขนาดที่เหมาะสมของแหล่งผลิตไฟฟ้าแบบกระจายหลายตัวในระบบจำหน่ายไฟฟ้าแบบเรเดียล และ ศึกษาผลกระทบของการลดการสูญเสียกำลังไฟฟ้าและการจำกัดปริมาณรับซื้อไฟฟ้าของระบบที่มีแหล่งผลิตไฟฟ้าแบบกระจายหลายตัว นอกจากนี้วิทยานิพนธ์ได้ศึกษาผลกระทบของการลดการสูญเสียกำลังไฟฟ้าและการจำกัดปริมาณรับซื้อไฟฟ้าของระบบที่มีแหล่งผลิตไฟฟ้าแบบกระจายหลายตัวร่วมกับเทคโนโลยีระบบกักเก็บพลังงาน กรณีศึกษาถูกแบ่งเป็น 3 ส่วน ดังนี้ กรณีศึกษาที่ 1 การเปรียบเทียบวิธีการจัดสรรแหล่งผลิตไฟฟ้า กรณีศึกษาที่ 2 ผลกระทบของวิธีการจัดสรรแหล่งผลิตไฟฟ้าเมื่อมีจำนวนแหล่งผลิตไฟฟ้าเพิ่มขึ้น และ กรณีศึกษาที่ 3 ผลการจำลองเวลาจริงของการหาค่าขนาดที่เหมาะสมของการจัดสรรแหล่งผลิตไฟฟ้า วิทยานิพนธ์ใช้ข้อมูลการผลิตไฟฟ้าของแหล่งผลิตไฟฟ้าแบบกระจายตัวจากการไฟฟ้าฝ่ายผลิตแห่งประเทศไทย ข้อมูลความต้องการโหลดแบบผู้อยู่อาศัยและแบบเชิงอุตสาหกรรมจากการไฟฟ้าส่วนภูมิภาค และ ระบบทดสอบ IEEE-33 บัส การจำลองหาขนาดที่เหมาะสมของแหล่งผลิตไฟฟ้า ใช้โปรแกรม Power Factory – DIgSILENT และ MATLAB ผลการศึกษาแสดงให้เห็นว่าวิธีที่นำเสนอของวิทยานิพนธ์สามารถใช้แก้ปัญหาของการจัดสรรแหล่งผลิตไฟฟ้าแบบกระจายตัวเมื่อพิจารณาดรรชนีความอ่อนไหวที่มีค่ามากที่สุดในระบบ ผลการทดลองของกรณีศึกษาที่ 2 แสดงให้เห็นว่า ระบบไฟฟ้ามีจุดอิ่มตัวของค่าการลดลงของกำลังไฟฟ้าเมื่อมีการเพิ่มจำนวนการติดตั้งแหล่งผลิตไฟฟ้า โดยค่าการลดลงของกำลังไฟฟ้าไม่มีความแตกต่างทางนัยสำคัญที่จุดอิ่มตัว ผลการทดลองสำหรับกรณีศึกษาที่ 3 แสดงให้เห็นว่าการจัดสรรขนาดแหล่งผลิตไฟฟ้าแบบกระจายตัวเมื่อมีการพิจารณาการลดการสูญเสียกำลังไฟฟ้าและการจำกัดปริมาณการรับซื้อไฟฟ้า สามารถลดปริมาณเฉลี่ยการจำกัดปริมาณรับซื้อไฟฟ้าของระบบได้อย่างมีนัยสำคัญ โดยที่มีพลังงานไฟฟ้าสูญเสียไม่แตกต่างกันระหว่างการพิจารณาการจำกัดปริมาณการรับซื้อไฟฟ้ากับไม่พิจารณาการจำกัดปริมาณการรับซื้อไฟฟ้า สำหรับการจัดสรรแหล่งผลิตไฟฟ้าแบบกระจายตัวเมี่อมีการใช้แหล่งผลิตไฟฟ้าแบบกระจายตัวและระบบกักเก็บพลังงาน ผลลัพธ์แสดงให้เห็นว่าการจัดสรรขนาดแหล่งผลิตไฟฟ้าแบบกระจายตัวเมื่อมีการพิจารณาการลดการสูญเสียกำลังไฟฟ้าและการจำกัดปริมาณการรับซื้อไฟฟ้า สามารถลดปริมาณเฉลี่ยการจำกัดปริมาณรับซื้อไฟฟ้าของระบบได้อย่างมีนัยสำคัญ อย่างไรก็ตาม วิธีนี้ไม่สามารถทำให้ระบบมีพลังงานไฟฟ้าสูญเสียต่ำกว่ากรณีการจัดสรรแหล่งผลิตไฟฟ้าแบบกระจายตัวเมื่อพิจารณาเฉพาะการลดการสูญเสียกำลังไฟฟ้าได้

หุ่นยนต์ 3 มิติชนิดจับที่ปลายแบบรับรู้แรงเพื่อการฟื้นฟูรยางค์ส่วนบน, เกวลี อัศวะไพฑูรย์เสริฐ

Chulalongkorn University Theses and Dissertations (Chula ETD)

งานวิจัยนี้มีวัตถุประสงค์เพื่อออกแบบต้นแบบหุ่นยนต์ 3 มิติชนิดจับที่ปลายแบบรับรู้แรงที่มีระบบควบคุมทางพลศาสตร์และโปรแกรมควบคุมการทำงาน เพื่อการประยุกต์ใช้ในการฟื้นฟูรยางค์ส่วนบน โดยงานวิจัยนี้ได้ออกแบบและพัฒนาต้นแบบหุ่นยนต์ที่มีชื่อว่าหุ่นยนต์ 3DEE (3D End-effector Manipulator Arm) ซึ่งเป็นหุ่นยนต์กายภาพบำบัดชนิดจับที่ปลายที่มีจุดสัมผัสอยู่ที่บริเวณข้อมือ มีลักษณะโครงสร้างเป็น 3-dimensional five-bar linkage manipulator ซึ่งสามารถเคลื่อนไหวใน 3 มิติได้และมีโครงสร้างที่ไม่ซับซ้อน อีกทั้งหุ่นยนต์ยังถูกออกแบบให้เหมาะสำหรับหุ่นยนต์กายภาพบำบัดและคำนึงถึงความปลอดภัยของผู้ใช้เป็นหลัก ระบบควบคุมที่ใช้ในงานวิจัยนี้เป็นระบบควบคุมกำแพงเสมือนแบบสปริงและตัวหน่วงสำหรับโปรแกรมอุโมงค์เสมือนที่เหมาะสำหรับให้ผู้ป่วยได้ออกแรงเคลื่อนไหวเองโดยมีหุ่นยนต์ประคองให้อยู่ในเส้นทางเท่านั้น โปรแกรมถูกออกแบบให้สามารถปรับค่าพารามิเตอร์ต่างๆ บันทึกข้อมูลและแสดงผลข้อมูลได้ การทดสอบหุ่นยนต์เริ่มจากการทดสอบความแม่นยำของส่วนชดเชยน้ำหนักของแขนหุ่นยนต์ก่อนซึ่งเป็นส่วนสำคัญส่วนหนึ่งของระบบควบคุม ซึ่งผลที่ได้นำมาสรุปได้ว่าส่วนชดเชยน้ำหนักของแขนหุ่นยนต์มีความแม่นยำที่มาก ตามด้วยการทดสอบประสิทธิภาพของระบบควบคุม ซึ่งผลที่ได้แสดงให้เห็นว่าระบบควบคุมนี้สามารถช่วยให้เคลื่อนไหวในเส้นทางที่กำหนดได้อย่างสะดวก อีกทั้งยังออกนอกเส้นทางได้ยาก

Spectral And Latent Representation Distortion For Tts Evaluation, Thananchai Kongthaworn

Chulalongkorn University Theses and Dissertations (Chula ETD)

One of the main problems in the development of text-to-speech (TTS) systems is its reliance on subjective measures, typically the Mean Opinion Score (MOS). MOS requires a large number of people to reliably rate each utterance, making the development process slow and expensive. Recent research on speech quality assessment tends to focus on training models to estimate MOS, which requires a large number of training data, something that might not be available in low-resource languages. We propose an objective assessment metric based on the DTW distance using the spectrogram and the high-level features from an Automatic Speech Recognition (ASR) model …

An Improvement Of Data Analytics Detection Rules In The Internal Audit Of The Procurement And Inventory Processes, Penpak Rangsipunyaporn

Chulalongkorn University Theses and Dissertations (Chula ETD)

Data analytics is a powerful tool to deliver value-added internal audit results as it reduces execution time and increases efficiency, effectiveness, and assurance level compared with the audit sampling approach. Because detection rules are criteria applied in the data analytics method to discover anomalies in the business transactions. Therefore, this project aims to improve the anomaly detection rules in the procure-to-pay and inbound inventory processes for an audit firm based in Thailand to provide internal audit services for clients in the manufacturing business. The sub-processes cover (1) process governance, (2) vendor selection, evaluation, and master data maintenance, (3) ordering, (4) …

Chaos Game Optimization Method For Weight Minimization Of Steel Truss Structure, Eain Kyi Thar

Chulalongkorn University Theses and Dissertations (Chula ETD)

The research proposes the so-called chaos game optimization (CGO) method to perform the optimal sizing design of steel truss structures under applied loading regimes. The optimization problem aims at the minimization of the total weight (directly related to the cost function) of the designed structure subjected to the constraints describing the intrinsic structural responses complying with limit-state specifications. The CGO approach is based on the underlying chaos theory that establishes the primary patterns as fractals in responses to the systems representing them as self-organized dynamical systems. The fractal is generated as an initial Sierpinski triangle (i.e., search space of solution …

Total Quality And Innovation Management In Hospital, Suebsakul Tonjang

Chulalongkorn University Theses and Dissertations (Chula ETD)

Previously, quality of care and customers' satisfaction in healthcare services is fulfilled only through total quality management (TQM) which as a core management philosophy, as adopted by many healthcare organizations. Nevertheless, TQM focuses on incremental improvement may prove insufficient to address the new technology and innovation-driven organization with a faster pace. Therefore, this research aimed to integrate quality and innovation management in healthcare affecting healthcare performance. To propose the key factor of both TQM and innovation management in healthcare, we conducted a systematic literature review. Then, TQM and innovation management factors were combined and integrated with ISO 56002 as to …

Adaptive Uplink Data Rate Prediction And Networkselection In A Vehicular Mobile Channel, Georgi Nikolov

Theses

The rapid acceleration into the digital age brings a worldwide interconnectedness of an unprecedented level. This interconnectedness transforms the modern transportation network by linking its infrastructure components (e.g., signaling systems, traffic control systems, maintenance systems) together. Intelligent transportation systems (ITS) can utilize this newly emerged network infrastructure, improving traffic safety, traffic control, and reducing transportation-related environmental impacts, changing the way drivers, businesses and governments deal with road transport. It is expected that in the near future self-aware vehicles (e.g., trains, cars or trucks) will constitute the majority of the transportation infrastructure. Vehicles need to be able to reliably communicate critical …