1UIDET GAMEFI
Departamento de Ciencias Básicas
Facultad de Ingeniería, Universidad Nacional de la Plata
Calle 48 y 116, La Plata (1900), Argentina
2UIDET LaCLyFA-CTA/UNLP
Departamento de Ingeniería Aeroespacial
Facultad de Ingeniería, Universidad Nacional de La Plata
Calle 116 entre 47 y 48, La Plata (1900), Argentina
The need to establish the downwind fluid dynamic field of aerodynamic bodies subjected to a given
velocity field is well known, to verify their aerodynamic characteristics. In this context, different
techniques allow us to establish the characteristics of the field. It is almost always necessary to carry out
quantitative determinations to describe the field correctly, particularly when the field is made up of
turbulent wakes. In this sense, in the experimental field, it is common to use hot-wire anemometry
techniques, which have great capabilities to quantify high-frequency events. Previous work has analyzed
the determination of changes in hot-wire anemometry signals for the detection of events in turbulent
flows with different models, based on stochastic algorithms (CPM - Change Point Model).
The present work aims to compare the results obtained previously with the application of different CPM
models developed. Previously applied and evaluated measurements are used, the implementation of the
models is carried out and the results are compared. All the algorithms used can detect changes in data that
do not have a known distribution, i.e. non-parametric distributions, which are typical for turbulent flow
field signals. Measurements of the fluctuating components of the wind tunnel velocity at a specific point
are considering. The signals used correspond to periodic detachments downstream of a flow control
device (Gurney mini-flap) at the trailing edge of an airfoil. The results show which are the best models to
use for the experimental detection of such turbulent events in the flow field.
keywords: : Event detection, Turbulent flow, Vortex, Change point models.
We consider the problem of finding a pair of functions 𝑟(𝑥,𝑡)and 𝑤(𝑥,𝑡)that satisfy the equation
𝑤t(𝑥,𝑡) = 𝑤𝑥𝑥(𝑥,𝑡) + 𝑟(𝑥,𝑡) under Cauchy boundary conditions. We will see that an approximate
solution can be found using the techniques of generalized inverse problem of moments and find dimensions
for the error of the estimated solution.
keywords: generalized moment problem; integral equations; Parabolic equation, inverse source
The Neutrosophic mildly generalised regular star
𝜶𝑱- closed sets in Neutrosophic topological spaces
are a new class of sets that we present in this study (briefly Neu - MGR*𝜶𝑱 - closed sets). Here, we
study the concepts and discuss the properties of Neu - MGR*𝜶𝑱 - closed sets.
1Bachelor in Computer Science
Abacus Institute of Engineering and Management
Hooghly,WestBengal,India
2Department of Computational Sciences
Brainware University
Barasat,WestBengal,India
3Department of Science and Humanities
Abacus Institute of Engineering & Management
Hooghly, West Bengal,India
Rough set theory is a mathematical approach to dealing with uncertainty and vagueness in data. It was
introduced as a way to approximate classical sets using lower and upper bounds. Rough set theory has
been applied to various domains such as data mining, knowledge discovery, machine learning, soft
computing, medical analysis, synthesis of switching circuits, and civil engineering. Rough set theory can
handle imprecise and noisy data by finding structural relationships and dependencies among attributes. It
can also reduce redundant and irrelevant attributes and generate decision rules from data. Rough set
theory is closely related to fuzzy set theory, but differs in that it uses multiple memberships instead of
partial memberships to model uncertainty.Lot of research works have taken place in this domain with
many fruitful outcomes that helped lot in expanding this field to much wider reach of knowledge
irrespective of the domain concerned to mathematical and technological application development. In lieu
of such research-oriented progress in different versatile domain, many areas of research has remained
untouched as many a problem remained unsolved being shrouded under the mystery. This paper deals
mainly with some of the still unsolved questions on Rough Set that are under study for new discovery and
a way to overcome such limitations citing proper techniques, examples, working models, and graphs.
keywords: consistent, scalable, machine learning, pattern recognition, decision making, artificial
intelligence.
Water supply is essential and an indispensable factor in the daily life of all populations. to
improve the quality of life of citizens and lead to sustainable economic and social development;
the party and the government has highlighted as crucial to the development of the water sector.
the Some projects have been completed implement, but some of them were not matched to
technical standard. Concessionaire seeks to cancel or sell the concession contract to others
because they had invested, and the return is less than ought. Therefore, to guarantee the Water
Supply System's implementation under the Public Private Partnership Project. This assessment
aims to study and evaluate the financial performance of MuangKhay Water Supply System,
Luang Prabang City, Luang Prabang Province that invest and operate by the private sector, and
Build-operate-transfer for 30 years. To do this we collect data with the private operator which
cost of investment, personnel, an average of chemicals, operation fees, electricity, etc., to
calculate the Payback Period, Net Present Value, Internal rate of Return, and Cost Benefit Ratio.
The assessment of The estimated total income for the 30-year project is 1.877.122 USD, the
estimated total expenses are 667.153 USD, the investment cost is $404.425 USD, and the net
cash flow is 1.209.969 USD, investors will realize a profit in 14 years, 7 months, and 18 days,
therefore, the net present value is 790.488 USD, the rate of return within the project is 6,98%,
the net cash flow from operations is 1.209.669 USD, and the return on capital ratio is 1,9. As a result, investment in the water supply at the MuangKhay village cluster in Luang Prabang City,
Luang Prabang Province yielded a satisfactory return
keywords:: Assessment, financial, IRR, PPP.
1,*Abubakar Bashar,2Muhammad Sani Abdurrahman,3Sadiq Buhari Bello
1Department of Computer Science,
Waziri Umaru Federal Polytechnic Birnin Kebbi 2Department of Mathematics,
Waziri Umaru Federal Polytechnic Birnin Kebbi
3Department of Computer Engineering,
Waziri Umaru Federal Polytechnic Birnin Kebbi
COVID-19 pandemic affected the educational sector in Nigeria and the rest of the world in early 2020
making educationalist search for substitutes for the conventional physical classroom learning style. This
led so many institutions in Nigeria and abroad to adopt video conference systems (such as zoom, even
though it is used by an insignificant number of academicians) to facilitate academic activities through
virtual teaching and learning. More than 80% of young students have negatively been affected by their
educational activities due to the closure of all schools globally because of the COVID-19 pandemic. The
teaching and learning in most Nigerian institutions are based on face-face contact which was paralyzed
due to the COVID-19 lockdown. Institutions are called on to adjust their pedagogical practices and adapt
to the learning needs of the students beyond the classroom walls as online learning is perceived to be the
best method in order to minimize direct contact. The purpose of this meta-analysis was to examine the
effect of perceived usefulness and perceived ease of use on zoom classrooms towards learning
motivation. A literature search was performed using prominent internet databases between 2018 to 2023.
Sixteen published articles fulfilled the review requirements set for incorporation. The small amount of
articles resulting from this search indicates that in recent years the use of video conferencing systems has
been investigated to some higher extent in using zoom classroom. Results from the sixteen articles
disclosed that zoom classroom remains a promising instructional instrument that awaits further
exploration in Nigeria. To enhance the knowledge of learners in Nigerian institutions, the research
proposes among other things that, adoption was limited in developing countries like Nigeria due to the
factors such as limited power supply, internet subscription costs, and limited internet service.
keywords: Meta-analysis, perceived usefulness, perceived ease of use, zoom classroom
1Rivers State Ministry of Education,
Port Harcourt Nigeria.
2Department of PRS (Statistics & EMIS Unit),
Rivers State Ministry of Education, Port Harcourt, Nigeria.
This study applied a fractionally integrated GARCH (FIGARCH) process in modelling daily cases of
COVID-19 in Nigeria from 28 February 2020 to 23 March 2022. The time plot of the series showed the
constant fluctuation in the study variable. The daily COVID-19 data was tested for stationarity using
Augmented Dickey-Fuller (ADF), the series was not stationary. The Geweke and Porter-Hudak (GPH)
method was used to estimate the long memory parameter d of the FIGARCH model. The daily series
was stationary at a fractional differencing of order (d=0.97). The presence of long memory was also
detected using the autocorrelation function. The fractionally integrated GARCH model was used to
detect the period of high and low crisis. The crisis period was identified by volatility clustering and the
leverage effect process. However, four models were estimated for FIGARCH models. The best model
was selected based on the information criteria. Finally, the most adequate model for estimating the
volatility of COVID-19 in Nigeria was the FIGARCH (1,0.97, 1) model.
keywords: COVId-19, Fluctuation, FIGARCH model, Long-memory process, the Autocorrelation
function
