http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5933 Fri, 17 Apr 2026 03:52:58 GMT 2026-04-17T03:52:58Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5938 Characterization of Quality of Service in Mobile Communication Model Aderinto, Yidiat O.; Musa, Yusuf; Bamigbola, Olabode M. In this paper, mathematical model of mobile communication systems with traffic congestion and interference was considered in an attempt to study/ determine the quality of service rendered by the mobile networks service provider. The model was mathematically characterized; existence and uniqueness of solution was investigated, interference free steady and persistence steady states equilibria was established. Stability analysis was also carried out. For effective understanding, numerical simulation was carried out with classical fourth order Runge-kutta method using Maple-18 software for different interference rate. Finally, the results were analyzed appropriately and relative conclusions were drawn. Sat, 17 Jul 2021 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5938 2021-07-17T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5937 Trend Second Wave Covid-19 Pandemic in Bangladesh Paul, Anip Kumar; Chakrabarty, Anuz Kumar The aim of this study is to analyze the trend of spreading out coronavirus (COVID-19) for the second wave attack in Bangladesh during this winter season. In this study, we included all reported new confirmed and death cases from March 30 to December 14, 2020. Our intension is to explore the trend of dispersion in infected and death cases after January, 2021. In this paper, we have conducted statistical analysis of Covid-19 in Bangladesh to deliver with reliable and perfect forecasts of the outbreak. We used MS excel and SPSS software for regression analysis and found the slope of the trendline of the data and R-squared value for both infected and death cases. The new confirmed cases gradually increase with date (from March, 30 to June) and reach towards the peak for first wave attack. We get the slope of the trendline for infected case which is increasing first as 2    47.562, 0.8799 R and decreasing later as 2     20.709, 0.6816 R (from July to September) for first wave. After then again, the slope is increasing. Death cases are also following the same trend pattern. This analysis may help to take significant role for securing public health for Bangladeshi people. In this situation, Bangladesh needs to take emergency management system to protect the attack of the virus which we going to face for second wave. As well as people should concern about the guidelines provided by IEDCR and WHO up to get vaccine. Sat, 17 Jul 2021 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5937 2021-07-17T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5936 A Model for the Classification of Breast Cancer Using Random Forest Algorithm Oyelakin, Akinyemi Moruff Breast cancer is a common disease among women globally. Past studies have used Machine learning techniques to speed up the prediction of the disease using labeled datasets. This study proposed a supervised machine learning approach for the classification of breast cancer. The model was built using Random Forest Algorithm. The dataset chosen for this study is a Wisconsin breast cancer (Diagnostic) dataset. The breast cancer dataset was originally released by the University of Wisconsin Hospitals, Madison. Python programming language and some of its libraries were used for the experimental analyses. The dataset was split in the ratio 75:25 percent as training and testing sets respectively. The metrics used for the performance evaluation of the model built include: accuracy, precision, recall, f1-score, and Cohen’s Kappa Statistics. In the experimental analyses, accuracy of 96% was recorded. 98% was obtained for the precision. For the recall, 96% was obtained. Moreso, 97% was obtained for F1-score while 91% was recorded for Cohen’s Kappa Statistics. The model provides superior classification performance in terms of the chosen evaluation metrics. Sat, 17 Jul 2021 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5936 2021-07-17T00:00:00Z http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5935 Investigation on Various Flax Fiber Properties to Identify Their Potential and Sustainable Applications Raihan, Md. Mashud; Khatun, Mst. Murshida This article represents the results of an analysis of different flax fiber properties which were expressed in different forms such as Spinning Consistency Index (SCI), Micronaire values, Maturity, Length, Uniformity, Short Fiber Index (SFI), Strength, Elongation, Moisture, Rd, y+b, Color Grade, and Trash Count. All these properties were found from the High-Volume Instrument (HVI) testing machine. In past, flax fiber was mainly used as a long staple form, however, now it can be used as a cottonized form that means short-staple form, which is mainly done by blending with another short-staple spinning. In this experiment, different cottonized flax fibers, which were taken from different conditions, were used. Properties of Spinning Consistency Index (SCI), Maturity, Length, Uniformity, Short Fiber Index (SFI), Strength and Moisture Regain % showed higher quality for Scoured flax fiber. Micronaire value, Elongation %, Color grade, and Trash count gave upper quality for Bleached China Flax. Rd value for Bleached SFL-70 flax fiber and +b for both Mira flax and Anger flax dark exhibited excellent results. Sat, 17 Jul 2021 00:00:00 GMT http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5935 2021-07-17T00:00:00Z