Browsing by Author "Hossain, Rifat"

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Effects of Cognitive Ability, Trust and Time-saving
(Lecture Notes in Networks and Systems, Springer, 2018-08-31) Hossain, Rifat; Mahmud, S. M. Hasan; Hossin, Md. Altab; Bhuiyan, Touhid; Hua, Yin Xiao
Prior research was perused the technology usage on limited factors; our aim is to investigate factor to adumbrate e-ticketing systems accuracy with further improvement and successive usage in the context of Bangladesh. To do so, we designed a research model with the integration of Technology Acceptance Model (TAM), Theory Planned Behaviour (TPB), trust theory, time-saving theory and cognitive framework. Survey data were amassed from the different profession of consumers who are using e-ticketing system; 145 valid data were tested the research model to find structural relationship and hypothesis result by using Partial Least Squares (PLS). Cognitive ability has a significant impact on time-saving and trust to purchase the ticket on Internet, while a wispy impact has cited between cognitive ability and perceived usefulness. In addition, trust has positively influenced on attitude towards of buying an online ticket, and time-saving has a positive relationship with TAM. Moreover, the study assists e-ticketing authorities and individual consumer to understand which factor gradually affects the progressive usage of e-ticketing.
Fire Crown Cafe
(Daffodil International University, 2019-08-07) Hossain, Rifat
Well, now-a-days restaurant business are getting more popular. That is why I will open a restaurant where everyone can find tasty, delicious and hygienic food. They can also enjoy unique food in their own city and see natural beauty with their food. Our motto is serving people best and quality of foods with less money. We believe in best service and customer's satisfaction. That is why we will manage all kinds of licenses and documents so that people can trust on us. For us customer's trust is everything. We will give our 100% to keep their trust
Influence of cognitive style on mobile payment system adoption: An extended technology acceptance model
(IEEE Xplore, 2016-05-30) Hossain, Rifat; Mahmud, Imran
The aim of this study is to investigate the factors that affect consumer mobile payment system adoption in the context of Bangladesh. To do so, we integrated technology acceptance model and cognitive style theory. We surveyed 75 students who recently became aware of college admission through the mobile payment system using survey questionnaire. The result indicates that cognitive style was not found significantly related to perceived usefulness, but significantly related to perceived ease of use, overall within the TAM model apart from the relation between perceived ease of use and attitude towards usage, the rest relationships were significant. Full Text Link: http://doi.org/10.1109/ICCCI.2016.7479973
Preferred 3d Modeling Software for Mobile Game Development: A Survey On Diu Mct Undergraduates
(Daffodil International University, 2025-01-11) Hossain, Rifat
The gaming industry is increasing, and mobile game development is crucial to this growth because more people use smartphones. High-quality mobile games are needed, so choosing the right 3D modeling software becomes vital. This choice affects how efficiently games are developed and the quality of the game assets. This study examines what 3D modeling software undergraduate students in the Multimedia and Creative Technology (MCT) Department at Daffodil International University (DIU) prefer for mobile game development. By analyzing qualitative and quantitative data, this research aims to identify popular software options, understand what influences these choices, and suggest ways to improve training in 3D modeling for mobile game development.
PRMT: Predicting Risk Factor of Obesity among Middle-Aged People Using Data Mining Techniques
(Elsevier B.V., 2018-06-08) Hossain, Rifat; Mahmud, S.M. Hasan; Hossin, Md Altab; Noori, Sheak Rashed Haider; Jahan, Hosney
Obesity is an anatomical condition characterized by an extreme growth of body fat. The obesity rate is increasing gradually; from prior research, obesity is the serious health disease in the globe. This study collected 259 data from specified urban and rural areas regarding different risk factor of our daily activities. The purpose of the study is to simulate the risk factor by using statistical tools (SPSS), which helpsto predict the major risk factor of obesity by testing the class level attribute according to cross-sectional study with other attributes. By analyzing the P-value (p<0.05), the outcome of this process Age (0.002), Height (0.002), Weight 0.000), Healthy lifestyle (0.000), Marital status (0.001), BMI (0.000), Economic (0.028), Sleep per day (0.011) has a significant relationship with our obesity class. This study proposed a risk mining technique (PRMT)that foretells a model to analyze the risk factor of obesity class using different data mining classifiers, using WEKA to estimate the accuracy and error measurement. The outcome of this process Naïve Bayes is the best classifier for the 10-fold cross-validation study. The proposed model collaborates to predict human factor who want to control and mitigate this major cardiovascular disease.