Saudi Cultural Missions Theses & Dissertations
Permanent URI for this communityhttps://drepo.sdl.edu.sa/handle/20.500.14154/10
Browse
4 results
Search Results
Item Restricted Cosimulation Approach for High-Frequency Magnetic Component Modeling in DC-DC Converters(Western Michigan University, 2024-12) Alyami, Faraj; Gomez, Pablo; Asumadu, Johnson; T Meyer, RichardThis dissertation aims to evaluate the efficacy of a novel methodology to support the transient analysis and electromagnetic design of high-frequency transformers and inductors in power converters. By integrating finite element method (FEM)-based tools with dynamic analysis techniques, the proposed methodology accurately reflects the physical characteristics of high- frequency magnetic components under both steady-state and transient conditions in power converters. This approach addresses the stresses generated by the extensive integration of power electronic-interfaced sources, loads, and storage units in various power electronic topologies. High-frequency transformers and inductors are highlighted as crucial elements for the next generation of energy systems, driven by advancements in distributed power generation, DC power grids, energy storage, and sensitive electronic loads. High-frequency transformers offer benefits such as galvanic isolation, high power density, small size, low cost, high efficiency, output regulation, and improved electromagnetic compatibility performance, making them vital for modern energy applications. High-frequency inductors, on the other hand, enhance the efficiency of energy transfer, stabilize voltage regulation, and minimize switching losses in power converters, significantly improving the performance of photovoltaic power systems, electric drives, and adjustable power supplies. The proposed methodology is implemented through cosimulation between COMSOL Multiphysics® and MATLAB/Simulink®, demonstrating its potential to advance the design and analysis of high-frequency magnetic components.20 0Item Restricted Business Simulation: Analyzing the Marketing Executive's Role in Driving Corporate Success(University of Liverpool, 2024-09) Alsubaie, Lama; Taghizadegan, AliThe automotive industry has recently experienced a significant shift from ICE- based vehicles to more sustainable alternatives in an effort to protect the environment and mitigate the climate impacts of vehicular emissions. This study explores the simulation environment of the European automotive market in a manner that is as realistic and current as possible. It specifically examines the implementation of various marketing strategies, emphasising the role of the marketing executive in pricing, understanding customers' preferences, targeting specific demographics, and selecting effective advertising channels. Although previous research has investigated effective marketing strategies in the automobile industry, they have rarely considered how these strategies align with specific age groups, mainly focusing on electric and hybrid vehicles. In this simulation, marketing efforts were tailored to appeal to customers aged 41-55, considering factors influencing their purchase decisions and preferences and identifying the most effective advertising channels for this demographic. This targeted approach proved successful, as it has resulted in significant sales achievements and long-term profitability for the company.10 0Item Restricted Semantic Analysis of Amazon Reviews of Sustainable Products(University of Leeds, 2024-02-18) Alotaibi, Amal; Dimitrova, VaniaOnline shopping has grown to be an essential part of modern living, garnering a wealth of client input. This project advances the field of consumer feedback mining and semantic and sentiment analysis of customer reviews since, when applied effectively, it can enhance goods, services, or marketing initiatives. This project proposes a framework using Natural Language Processing (NLP) techniques to find customer preferences related to sustainability through mining customer reviews (CR) text. First, implement the LDA and sLDA models using the Gensim package in Python to extract sustainable topics from CR. After that, implement the BERTopic model to find the sustainability aspect in (CR). Then, the overall sentiment for every review in each topic was calculated using the Vader sentiment library in Python. Lastly, interpret the results and generate helpful insights for brand managers. The Amazon product review data is used in this study, and we use Food and Grocery Sustainable Products. The findings of the proposed framework are promising, as we were able to identify the most discussed topics in sustainability aspects of products and produce an assessment that provides information about the aspects that the customers are most satisfied with and that can be improved. However, the sLDA model and the BERTopic model achieve the goal but not the expectation. especially BERTopic, it was not accurate enough for weakly supervised text classification. Also, the Vader sentiment tool did not meet expectations because of the complexity of CR. However, the text analyst specialist found that the structure is flexible enough to allow for future development and increased usage. Ultimately, we think that these data will help brand managers create and improve future products, which will raise consumer satisfaction and boost revenue and profitability.25 0Item Restricted A comprehensive Analysis of Mitsubishi(Saudi Digital Library, 2023-09-04) Alateyah, Ghadah; Hussain, SimonThis report provides a comprehensive overview of the Mitsubishi Motor Corporation. The company sells its vehicles globally and is able to generate decent sales revenue. The report studies three aspect to assess and examine the company’s performance, business analysis, financial analysis and the company’s stock valuation. The first chapter discusses the reasons for choosing this company, the competitors chosen to compare the company’s performance with and factors such as the nature of business, the company’s background history, its size and information regarding the segments it serves. The second chapter provides an over-view of the company’s business environment that it operates in through the model PESTEL. The second model used is Porter’s five forces that provides an examination of the company’s competitive advantage in the industry that the company serves. The SWOT analysis follows after and is an analytical overview of the strengths and weaknesses of the company and its competitors. Lastly, the chapter ends with an overview of the company’s strategic polices over the last five years. The third chapter is a detailed study of the organization’s financial performance based on its historical financial information present in its financial statement from financial year 2019 till financial 2023 that starts from 1 April till 31 March. The financial performance segregated into three sections, trend analysis, ratio analysis and analysis of its credit worthiness. Trend analysis is carried out for both income statement and balance sheet of the company while ratio analysis is carried out to analyze profitability, operational efficiency, liquidity and solvency. While credit worthiness uses models such as Tafler Z score and Altman Z score. The last chapter uses different techniques to assess and forecast the company’s EPS and stock valuation in order to arrive a t a conclusion whether the stock of the company is under or over-valued.21 0