Volume-16, Issue-2, July 2021
http://dspace.daffodilvarsity.edu.bd:8080/handle/123456789/5933
2024-03-29T13:23:54ZCharacterization of Quality of Service in Mobile Communication Model
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.
2021-07-17T00:00:00ZTrend Second Wave Covid-19 Pandemic in Bangladesh
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.
2021-07-17T00:00:00ZA Model for the Classification of Breast Cancer Using Random Forest Algorithm
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.
2021-07-17T00:00:00ZInvestigation on Various Flax Fiber Properties to Identify Their Potential and Sustainable Applications
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.
2021-07-17T00:00:00Z