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ARPN Journal of Engineering and
Applied Sciences November 2021 | Vol. 16 No. 21 |
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Title: |
Experimental investigation on the effect
of using crumb rubber and recycled aggregate on the mechanical
properties of concrete |
Author (s): |
Hany A. Dahish, Mahmoud Elsayed, Mai
Mohamed and Magdy Elymany |
Abstract: |
In
this paper, the effect of utilizing crumb rubber (CR) and recycled
coarse aggregate (RCA) as partial replacements for fine aggregate (FA)
and coarse aggregate (CA), respectively in concrete on the mechanical
properties of concrete was experimentally investigated. The experimental
work was carried out on 84 concrete cylinder (150x300 mm in size) at
different levels of replacement of FA and CA with CR and RCA,
respectively. The mechanical properties of concrete were measured at 28
days. The utilization of CR and RCA showed a marked influence on the
mechanical properties of concrete especially in the case of FA
replacement with CR. Eight effective predictive models utilizing
multivariate regression to estimate the compressive strength and
splitting tensile strength of concrete containing CR and RCA as partial
replacement of FA and CA, respectively at 28 days were proposed. The
models were compared to find the best one. There are two input
parameters: a) level of replacement of CA with RCA, and b) Level of
replacement of FA with CR. The output parameters were compressive and
splitting tensile strengths. As compared to other proposed models, the
full quadratic model had the highest correlation in both cases of
compressive and splitting tensile strength models. |
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Title: |
Application of Response Surface Method for
lipase mediated synthesis of fatty acid amide biosurfactant from
diethanolamine and glucosamine |
Author (s): |
Zuhrina Masyithah and Armansyah Ginting |
Abstract: |
A
fatty acid amide has been made from diethanolamine and glucosamine using
Novozyme 435 lipase in organic solvents. Fatty acid amide is a
surfactant that is widely used in the pharmaceutical and cosmetic
fields. As a biosurfactant, fatty acid amides have the advantage of
being a surfactant that is renewable and environmentally friendly. This
study aimed to obtain biosurfactants by applying the Response Surface
Method and determining the effect of adding lipase, amine, and the yield
of fatty acid amide. The results showed that the addition of amines and
temperature would increase the yield of the two amides produced.
However, the effect of temperature is more significant than the addition
of amines. The optimal results obtained in the synthesis of
diethanolamide were obtained when using enzyme 11-12%, diethanolamine
2-2.5 molar, and temperature 45-49°C, and in the synthesis of
glucosamide, optimal glucosamide yield was obtained when using enzyme
9-10%, glucosamine 2-3 molar, and a temperature of 40-45°C. |
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Title: |
Use of new Geomatics technologies in the
auscultation of flexible pavements |
Author (s): |
Saieth Baudilio Chaves Pabón, Hugo
Alexander Rondón Quintana and Carlos Alfonso Zafra Mejía |
Abstract: |
The
purpose of this article is to conceptualize the use of Drones and Remote
Sensors technology in pavement evaluation, which have allowed to advance
in the development of different methods to detect deterioration with
precision and reliability. Thus, through the use of images, data
collection with high precision and the ease in traveling long distances
have made the drone-remote sensor integration a tool that can
undoubtedly be used today in road projects such as improvement,
rehabilitation and conservation. The methodology consisted in the
interpretation and explanation of the relationship between Drone, Remote
Sensors and their application in the visual evaluation of pavements. For
this purpose, several normative documents, academic and research works
at national and international level have been consulted. As results and
discussion, the importance and conceptualization of the subject in
question is shown. Finally, it was concluded by showing the need to
implement these technologies in the development of road projects and the
possible advantages in the immediate future. |
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Title: |
A reduced rating of isolated-VSIs DSTATCON
for PQ enhancement using MRE-PWM technique |
Author (s): |
S. V. D. Anil Kumar, M. Seshu and N. Vamsi
Krishna |
Abstract: |
Now-a-days, the voltage and current wave-shapes of distribution system
is deviated due to power-electronic controlled non-linear load devices
causing severe power-quality issues. Among the various
custom-compensation devices, the DSTATCOM is most suitable for
eradication of harmonic currents, reactive-power control, voltage
balancing, power-factor correction, etc. The DSTATCOM utilizes the
inverter for mitigation, but it is un-popular because of high rated
switching devices, absence of current-sharing principle, high size and
low efficiency, so on. A parallel-connected dual-inverter based DSTATCOM
is also available; it reduces the rated capacity of DSTATCOM. But,
un-popular due to complex control circuitry and dual DC capacitors, need
of more switches which increases the switching losses, size, cost,
complex design and low efficiency. In this paper, a novel reduced-switch
isolated-VSIs DSTATCOM has been developed for PQ enhancement in
distribution system using proposed MRE-PWM control scheme. The
performance evaluation of proposed reduced-switch isolated-VSIs DSTATCOM
is investigated in balanced, un-balanced and variable non-linear load
conditions by using Matlab-Simulink computational tool, simulation
results are presented. |
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Title: |
Application of Neural Networks to forecast
photovoltaic power in the framework of the valorisation of renewable
energies in Benin Republic |
Author (s): |
Agbokpanzo Richard Gilles, Didavi Audace,
Houngan Aristide and Espanet Christophe |
Abstract: |
This
paper aims at applying neural networks to the prediction of the output
power of a photovoltaic installation in the framework of the
valorisation of renewable energies in the Benin Republic. This
prediction was made by using a hybrid neural network (NARX network and
feedforward neural network) that we trained with MATLAB's Neural Network
Start (NNS) tool where we used 12 years (01-01-2005 to 12-31-2016)
meteorological data uploaded in the PVGIS database and Levenberg-Marquardt’s
algorithm. We used the NARX network (Nonlinear Auto-Regressive with
eXogenous Input) network for the prediction of meteorological data such
as the beam radiation (direct) on the inclined plane, the diffuse
irradiance on the inclined plane, the position of the sun, the air
temperature at 2m from the ground and the total wind speed at 10m from
the ground at a 3-hour horizon. The feedforward network was then used to
forecast PV power from the predicted meteorological data at a 72-hour
horizon. At the end of the prediction, we were able to obtain a mean
square error of 0.46 and a regression coefficient of 0.99. |
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Title: |
Fretting wear parametric analysis of
flexible tube in heat exchanger tube bundle |
Author (s): |
Muhammad Ayub, Luqman Ahmad Nizam,
Muhammad Usman, Muhammad Mohsin Rashid and Behzad Rustam |
Abstract: |
In
the present study, an instrumented central tube’s wear analysis was
carried out in a tube bundle with triangular configuration having
parallel tubes. The pitch to diameter ratio (P/D) is 1.45. The fluid
i.e. water’s velocity in cross flow increases from 0.18 to 0.55 m/s in
equal increments of 0.09 m/s. Tests were carried out using five distinct
flow velocities along with three unique time intervals (i.e. 60, 90 and
120 minutes). A Scanning Electron Microscope (SEM) is utilized during
experimentation to examine the scars and gauge the wear scar dimensions
developed on the surface of tubes. It can be seen during vibrations
analysis that the amplitude of transverse vibrations increases
considerably when we move past the velocity of 0.27 m/s and
monotonically increases till the maximum velocity i.e. 0.55 m/s is
reached. This analysis concludes that the considerable wear is caused in
the transverse direction at higher velocities. Examining the wear area
points out that there is no unusual change in it against all the time
durations up till 0.37 m/s, but once this value is surpassed the wear
area inclines towards appreciable increase with an increase the in cross
flow velocity. The analysis of wear volume suggests that wear volume
with increasing cross flow velocity shows an increasing trend. There is
not any considerable change in pattern of wear volume against 60 and 90
minutes time intervals even at higher velocities. The change is observed
against the 120 minutes interval; as the behavior becomes quite distinct
and displays a notable increase in the wear volume. |
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Title: |
Forecasting household energy usage based
on edge deep learning |
Author (s): |
Calveen Jon Elvin, Rozeha Abdul Rashid, A.
S. Abdullah, Omar A. Aziz, M. A. Sarijari and Teruji Ide |
Abstract: |
This
study analyses the feasibility of using embedded processing device that
will be used as edge deep learning device for real-time short-term load
forecast for home energy management system (HEMS). We trained and
implemented two well-known artificial neural network architecture,
Multi-layer Perceptron (MLP) and Long Short-Term Memory (LSTM), into the
Raspberry Pi as embedded computer and measure its prediction accuracy
and processing time. The results revealed that MLP performs better than
LSTM in terms of prediction accuracy and both models able to complete
the forecasting process in less than a second for one-minute interval
forecast. The embedded computing device has shown its potential in home
energy management system field for reliable short-term load forecast
which can significantly reduce the cost of the system for machine
learning computation and thus reduce reliance on cloud computer for
artificial intelligence inference. |
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Title: |
Prototype drinking water meter, with IOT
functions, to obtain the water consumption of a household in real time |
Author (s): |
Jesús D. Quintero-Polanco, Luis C.
Monje-Perdomo and Daniel F. Rojas-Gómez. |
Abstract: |
An
electromechanical residential water flow meter was built, with IOT
functions for reporting and control of consumption by the user, the
system works with long-life rechargeable batteries. Reporting its
consumption in real time to a non-relational database, a web application
was also developed for monitoring and configuration. The system is
configurable so that it can consult periodic reports and can suspend the
flow of water if the user requires it. |
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Title: |
A novel approach in evaluating mobile
usage based implicit authentication using behavior cloning |
Author (s): |
Md Asifur Rahman and Bodrunnessa Badhon |
Abstract: |
Over
the years, mobile device has become the most preferred way to
communication, sharing information and even sensitive data. In fact,
many security measurements such as 2-step verification, OTP based
transaction are also dependent on the authentication of mobile user. A
lot of research initiatives have tried to develop both explicit and
implicit authentication mechanism for the devices. But implicit
authentication measures have gained much attention over the year, as
they are more secure continuous measure that can be made undetectable.
Majority of the previous studies on implicit authentication of mobile
device are mainly focused on analyzing different data attributes in
retrieving behavioral traits and using linear techniques to describe an
individuals behavioral pattern. On top of that, almost all the previous
studies ignores the consideration of analyzing how a user interact with
a mobile environment as they are more focused on finding pattern within
the retrieved data features. To our knowledge for the first time, this
study analyze the user interaction with the mobile phone by mapping them
into the Markov Decision Process (MDP) environment and later proposes a
RNN agent based technique to extract user’s unique policy that could be
used as biometric traits. The proposed technique is also able to extract
a continually evolving user’s policy by incorporating data aggregation
while ensuring authenticity. The comparative analysis of the proposed
technique clearly indicates the suitability of this approach, as the
proposed technique is able to outperform some of the well-known implicit
authentication techniques and attain a recognition rate of around 94%. |
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Title: |
Digital level control for the CE105 MV
coupled tank system |
Author (s): |
Faiber Robayo Betancourt, Freddy Humberto
Escobar and Juan Antonio Castro Silva |
Abstract: |
In this
article the design and implementation of a digital level controller for
a coupled tank system is presented. The CE105 MV tank system model is
developed. Due to the system is not linear, mathematical modeling is
performed using the equations that describe the dynamic behavior of the
system through its physical characteristics. The controller is
implemented using microcontrollers, visualization hardware and
instructions introduction is also performed. The relative gains array (RGA)
is used to determine the interaction between the inputs and outputs of
the system, in order to choose the best way to control the variables.
Finally, a graphical interface in LabVIEW software is performed in order
to observe the system behavior in real time. As a result, good
monitoring of set points is achieved by the control system implemented. |
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Title: |
Applied software of planning of mechanized
works in agricultural enterprises |
Author (s): |
Kudrynetskyi Rostyslav, Dnes Viktor,
Krupych Stepan, Skibchyk Volodymyr, Krupych Oleh and Sharybura Andrii |
Abstract: |
Modern
processes of agricultural production are characterized by a high level
of mechanization and automation and are aimed at creating favorable
growth and development of plants as well as soil microorganisms. The
machinery used to mechanize these processes is science-intensive, its
cost is constantly growing. The high level of agricultural production
technologies, technical excellence and high cost of machinery require a
high level of management of the technical base, finding ways to reduce
the share of material and energy costs in the cost of agricultural
products. The search for rational solutions in the acquisition and use
of machine-tractor fleet (MTF) of agricultural enterprises is one of the
most difficult tasks, because in its solution it is necessary to take
into account a large number of factors, most of which are probabilistic
and unmanageable. The article presents the possibilities of using
application software for planning mechanized works in agricultural
enterprises allows to form a rational composition of MTF, determining
the need for machinery based on the structure of sown areas,
technologies for growing crops and operating conditions of
machine-tractor units (MTU) by scheduling their use. taking into account
the value of direct operating costs. The use of the proposed algorithm
in the application software allows you to choose the appropriate MTU,
the use of which ensures the implementation of technological operations
in the optimal agricultural terms with minimal energy consumption, which
in turn reduces the cost of cultivated products. |
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Title: |
Water quality assessment of Udumalpet
Taluk, South India using MNSF-WQI and GIS method |
Author (s): |
R. Chitradevi, P. N. Magudeswaran, Vikas
D. Ghadamode, K. Poonkodi and V. Anitha |
Abstract: |
The
present study was carried out to analyze the water quality of Udumalpet
Taluk, Tamil Nadu, India by Water Quality Index. Spatial variation maps
of physico-chemical parameter were produced using ArcGIS 10.8 software.
40 samples were collected from different sampling points and
investigated for 17 physico-chemical parameters. The MNSF-WQI reveals
that 72% of the water sample falls under good quality and 28% belong to
the medium category. According to spatial distribution maps of WQI,
water quality of the study area is fit for drinking and irrigation
purpose but in urban areas it needs of prior treatment before usage
because of improper drainage from domestic, paper and textile
industries. |
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Title: |
A Resample-Smote Balance with Random
Forest for improving seminal quality prediction in healthcare
informatics |
Author (s): |
Raihani Mohamed, Abdul Rafiez Abdul Raziff
and Sabri Mohd. Nasir |
Abstract: |
Previous research shown that men seminal fertility rates significantly
decreased in the last twenty years due to health status, life habit and
environment. Thus, seminal quality prediction in men fertility has
become very demanding decision support systems in the biomedical
engineering field. Existing solutions focused on producing the accuracy
of the prediction model. They also acknowledged that there were problems
of imbalance class, ambiguity and noise of the sample dataset. However,
the real issues of the domain were still vague. A framework consists of
Resample-Smote Balance with the state-of-art Random Forest (RF) method
is proposed to overcome the real-world problem and tested on the
Fertility dataset. This method is introduced to alleviate the ambiguity
and noise of the sample set. Subsequently, the Smote method is applied
to balance the size of the dataset before the classification phase using
RF is taken place. The performance of the proposed model is compared
with other state-of-art classifiers such as MLP, SVM and DT.
Consequently, this work manages to produce the best accuracy model with
98.2% that can improve the ambiguity and noise from the sample set at
the same time competent to handle the imbalance class of the dataset.
The RF also boost the accuracy model compare with other classifiers due
to its capability to produce the most probable class from its
majority-voting task as output. |
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Title: |
Bianchi type-I cosmological models with
time-varying gravitational constant and cosmological constant for a
perfect fluid |
Author (s): |
G. M. Wali Ullah |
Abstract: |
This
paper addresses a Bianchi type-I Cosmological model with time-varying
Gravitational constant, G and Cosmological constant,
? for perfect
fluid in a homogeneous anisotropic space. For constant deceleration
parameter q, a set of realistic solutions are obtained. The physical and
geometrical properties of the model have been discussed in detail.
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Title: |
Interactive voice recognition based smart
mirror for Malaysia commercial guest room |
Author (s): |
Adam Wong Yoon Khang, Jamil Abedalrahim
Jamil Alsayaydeh, Saiful Sophian Bin Latif, Jaysuman Bin Pusppanathan
and Johar Akbar Bin Mohamat Gani |
Abstract: |
This
paper describes a scheme and implementation of a mirror turned
intelligence that results in interactive mirror planned via a Raspberry
Pi as the key controller. The most important principle of graphical
representation of this prototype is that it can display customized
information such as clock, calendar, current weather, food menu and even
for news feed based on two-way voice communication. In other words, the
Smart Mirror can function as a virtual assistant that responds to the
user's request and questions delivered automatically. Thus, user can
easily get information of various places near the hotel, or any
information that the user wishes for by using voice commands and even
smartly user can control appliances that are powered by Google Home. The
guest would enjoy a wide range of interesting functionality through the
mirror featured innovations that could certainly plays a significant
part of technology in the human daily life. |
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