Doctor of Philosophy

dissertationStochastic methods, dense free-form mapping, atlas construction, and total variation are examples of advanced image processing techniques which are robust but computationally demanding. These algorithms often require a large amount of computational power as well as massive memory bandwidth. These requirements used to be ful lled only by supercomputers. The development of heterogeneous parallel subsystems and computation-specialized devices such as Graphic Processing Units (GPUs) has brought the requisite power to commodity hardware, opening up opportunities for scientists to experiment and evaluate the in uence of these techniques on their research and practical applications. However, harnessing the processing power from modern hardware is challenging. The di fferences between multicore parallel processing systems and conventional models are signi ficant, often requiring algorithms and data structures to be redesigned signi ficantly for efficiency. It also demands in-depth knowledge about modern hardware architectures to optimize these implementations, sometimes on a per-architecture basis. The goal of this dissertation is to introduce a solution for this problem based on a 3D image processing framework, using high performance APIs at the core level to utilize parallel processing power of the GPUs. The design of the framework facilitates an efficient application development process, which does not require scientists to have extensive knowledge about GPU systems, and encourages them to harness this power to solve their computationally challenging problems. To present the development of this framework, four main problems are described, and the solutions are discussed and evaluated: (1) essential components of a general 3D image processing library: data structures and algorithms, as well as how to implement these building blocks on the GPU architecture for optimal performance; (2) an implementation of unbiased atlas construction algorithms|an illustration of how to solve a highly complex and computationally expensive algorithm using this framework; (3) an extension of the framework to account for geometry descriptors to solve registration challenges with large scale shape changes and high intensity-contrast di fferences; and (4) an out-of-core streaming model, which enables developers to implement multi-image processing techniques on commodity hardware

DECISION TO PURCHASE ONLINE AIRLINE TICKETS OF HO CHI MINH CITY CUSTOMERS

Abstract. The study aimed to identify and measure the factors affecting the decision to purchase online airline tickets in Ho Chi Minh City, Vietnam (HCMC) by surveying 536 customers aged 18 and over who bought airline tickets online and live in Ho Chi Minh City. The SPSS 20 tool was used to analyze the reliability of the scale through the Cronbach's Alpha coefficient, EFA exploratory factor analysis, AMOS 22 software to calibrate the scale by CFA confirmatory factor analysis, and evaluated by linear SEM analysis. Research results show that positive impact factors, decreasing by their strength, include: Perceived benefit, Perceived ease of use, Reputation of the airline, Subjective norm, Reliability. Meanwhile, Risk perception has a negative impact on the intention to buy airline tickets of customers. Research also indicates that the intention to purchase airline tickets online has an impact on purchase decisions. The results also help managers recognize the importance of the factors that affect the buying behavior of the consumers, andconsequently make appropriate strategic adjustments and actions in the competitive process for online airline tickets presently.Keywords: online airline ticket, HCMC consumers, purchase intention, purchase decisio

VIETNAMESE CONSUMERS’ ATTITUDE ON TELEVISION ADVERTISEMENT OF SKIN CARE

Abstract. The research investigates how the factors affect Vietnamese consumers’ attitude on televisionadvertisement of skin care, by intervewing 280 consumers. The method of Cronbach’s Alpha analysis, exploratory factor analysis and multiple regression analysis were used with the SPSS program. The result shows that there are five factors affects Vietnamese consumers’ attitude on television advertisement of skin care increasingly: Entertaiment, Informativeness, Celebrity, In-irritation, Credibility. The test show that there is a difference in attitudes towards television commercials in the skin care industry in Vietnam by four characteristics: Gender, Age, Income, Academic level. The research also suggests some solutions to the television advertisers to enhance capability of serving consumers.Keywords: consumer attitude, television advertisement, Vietnamese consumers, skin care, multiple regression analysis, quantitative method

DECISION TO CHOOSE FAST FOOD RESTAURANTS OF THE YOUNG PEOPLE IN HO CHI MINH CITY, VIET

Abstract. This study has specific objectives of Identifying and Measuring the impact level of the factors that affect the decision to choose fast food restaurants of the young people in Ho Chi Minh City, Vietnam (HCMC), by surveying 225 young consumers living in HCMC. The SPSS 20 tool was used through the Cronbach's Alpha, EFA, multiple linear regression analysis. The result shows four factors positively affect the decision of choosing fast food restaurants of the young people in HCMC in the order of decreasing level: (1) Price, (2) Products, (3) Store location, and (4) Space. The results also show that there is no difference in the decision by gender but there are differences by occupation and income. From that, several managerial recommendations have been proposed for managers of fast-food stores to developappropriate marketing strategies that impact on young people.Keywords: Decision to choose, Fast food restaurants, The young people in HCM

QUALITY OF SUSTAINABILITY REPORTING AND BANK STABILITY: EMPIRICAL EVIDENCE FROM VIETNAMESE COMMERCIAL BANKS

The purpose of this study is twofold. First, we attempt to quantify the quality of bank sustainability reporting (QSR) since the 2016 mandatory sustainability disclosure in Vietnam. Content analysis of banks’ annual reports is performed to assess 11 QSR items that are used to build the QSR index. Second, we investigate whether the quality of sustainability reporting influences banks’ financial stability. Employing a sample of 159 banking firm observations over the period 2016–2021, we document that the quality of sustainability reporting in Vietnamese commercial banks increased from year to year. Importantly, our empirical evidence shows that a higher level of QSR contributes to better bank stability. This result is robust to various estimation methods, different components of QSR, an alternative measure of bank stability, and controlling for reverse causality. Our findings provide important implications for bank managers by highlighting that the enhancement of QSR increases bank stability

Education attainment and perceptions of autism : A cross-cultural study in South Asian countries

申請代表者： 人間科学部人間科学科3年　Luu Khanh Haアドバイザー教員： 人間科学研究科　Paola Cavaliere採択番号: 人-1

ISP: An optimal out-of-core image-set processing streaming architecture for parallel heterogeneous systems

Journal ArticleImage population analysis is the class of statistical methods that plays a central role in understanding the development, evolution, and disease of a population. However, these techniques often require excessive computational power and memory that are compounded with a large number of volumetric inputs. Restricted access to supercomputing power limits its influence in general research and practical applications. In this paper we introduce ISP, an Image-Set Processing streaming framework that harnesses the processing power of commodity heterogeneous CPU/GPU systems and attempts to solve this computational problem. In ISP, we introduce specially designed streaming algorithms and data structures that provide an optimal solution for out-of-core multiimage processing problems both in terms of memory usage and computational efficiency. ISP makes use of the asynchronous execution mechanism supported by parallel heterogeneous systems to efficiently hide the inherent latency of the processing pipeline of out-of-core approaches. Consequently, with computationally intensive problems, the ISP out-of-core solution can achieve the same performance as the in-core solution. We demonstrate the efficiency of the ISP framework on synthetic and real datasets

Research on the Behavior of Gen Z on Using of Green Tourism: The Role of Knowledge Sharing

Purpose: The main objective of this study is to clarify the role of knowledge sharing about green tourism on tourists’decision to use tourism services.   Theoretical framework: This study applies the theory of planned behavior (TPB) as a basis framework to determine the factors that affect tourists’ decisions.   Design/Methodology/Approach: This study used quantitative research methods with data collected through questionnaires with respondents of young people in Hanoi, Vietnam. The results were 288 valid questionnaires processed with structural equation modeling (SEM) through SPSS and Amos software.   Findings: This study confirms the influence of attitude factors, and perceived behavioral control on Gen Z's decision to use green tourism services. Moreover, the study confirms the role of knowledge sharing about green tourism as an antecedent factor that shapes the mechanism influence of green perception of Gen Z in the relationship between attitude and decision to use green tourism services.   Research, practical & social implications: This study helps administrators have a deeper insight into the importance of knowledge sharing activities in training, recruitment and orienting sustainable development policies towards raising awareness about the goal of building sustainable development. building and developing a green economy in general and the tourism industry in particular.   Originality/Value: This study has shown that knowledge sharing builds and leads to positive attitudes about green tourism services. This is a new contribution of the study with providing evidence in identifying the primary factors in the relationship between attitudes and decisions to use green tourism services