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ARPN Journal of Engineering and
Applied Sciences
April 2022 | Vol. 17 No. 8 |
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Title: |
Effect of intensity of light and distance
for decolonization in direct red wastewater by photo Fenton oxidation |
Author (s): |
Hameed R. Dawood Alamery and Ali A. Hassan |
Abstract: |
In
this paper, the decolonization of direct red wastewater, by photo-Fenton
oxidation designed aimed at decontamination of industrial wastewater.
The experimentations be situated designed by a response surface method
comprising the effect of the irradiation time (30-120 min.), hydrogen
peroxide (20-100 ppm), ferrous sulphate (4-20 ppm), Temperature (25-60
°C) and pH (3-9). Then and at the optimum values of these conditions
(120 min, 60 ppm of H2O2, 13 ppm of ferrous sulphate, temperature 25 °C
and pH 6) was 98.5% organic removal from simulated wastewater, and
studied belongings of Intensity and Distance from UV Light on simulated
wastewater. The results show that the increase in the Intensity of UV
light increases the removal and the proximity of the pollutant to the UV
light increases the removal. |
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Title: |
Image classifier differentiating tumour
from healthy MRI scans using Convolutional Neural Networks |
Author (s): |
Jessica S. Velasco, August C. Thio-Ac,
Gilbert B. Hollman, Benedicto N. Fortalezaa, Felix Kenjie F. Thio-Ac,
Jonard Bryan S. Cabanding, Jetlee E. Dumandan, Lean Karlo S. Tolentino
and Roel M. Mendoza |
Abstract: |
This
study was created using a simple algorithm that may be implemented on
MRI scan machines to aid medical professionals in making a more accurate
decision by having a second opinion. The system is inspired on a
smartphone-based skin disease classifier which was implemented with
multiple techniques of data augmentation. It is also trained on multiple
pre-trained and untrained algorithms for machine learning application.
The raw data of MRI has a dimension of 50 x 50 and in colored form. When
worked on raw data it did not yield great results having only an 80%
accuracy and a 50% validation accuracy after. We implemented data
augmentation techniques to increase the accuracy and to implement a
reasonable comparison among the different CNN models. The data was
resized and recolored to a monochrome to have the same dimensions and
tone to have a better prediction on the data. These images were then
trained on a well-known pre-trained Convolutional Neural network (CNN)
and a small model comprising of 3 layers for control independent
variable. At first, we only got 90% as the best validation accuracy that
belongs to the untrained 3-layer algorithm. However, decreasing learning
rate to 0.0001 increased our best validation accuracy from 90% to 95%
that validation accuracy belonging to VGG 16 and 19. |
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Title: |
Synthesis by a two-step method of the thin
film semiconductor CsPbBr3 |
Author (s): |
T. Muqoz, G. Gordillo, M. A. Reinoso, J.
I. Clavijo Penagos and O. G. Torres |
Abstract: |
Thin
films of PbBr2 were synthesized on glass substrate by Physical Vapor
Deposition (PVD) and thin films of CsPbBr3 were synthesized by Dip
Coating Method of a film of PbBr2 in a solution of CsBr in methanol. The
crystalline system corresponding to CsPbBr3 was identified
crystallographically by X-ray diffraction and the desired stoichiometry
was found from a three-dip test with a film anneal time at 100 0 C for a
time of 20 minutes. The morphology of the PbBr2 and CsPbBr3 films was
studied by scanning electron microscopy (SEM), the structural change and
the variation in grain size were analyzed as a function of the annealing
temperature and the formation of CsPbBr3, an increase was observed in
the grain size after the annealing of the PbBr2 film and subsequently in
the formation of CsPbBr3. Finally, the optical properties of the
material were evaluated by optical reflectance measurements and an
optical band gap of 2.31 eV and absorption coefficients of 6x104 cm-1
were obtained for the fundamental absorption and 5x104 cm-1 for the near
ultraviolet. The band gap of the material was also determined using the
band structure diagram obtained from Heyd-Scuseria-Ernzerhof (HSE)
density functionalities and a value of 2.30 eV was obtained. |
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Title: |
Biodiesel production from castor oil:
Mixing optimization during transesterification |
Author (s): |
Hisham E. Hassan, Yaser M. Asal, Ahmad M.
Mohammad and Islam M. Al-Akraa |
Abstract: |
With
the growing warning for accrediting the traditional combustion of fossil
fuels for energy production, not only for their limited supply but also
for their environmental risks (air pollution, climate change, . etc),
it became necessary to realize alternative greener and abundant sources
for energy. Instead, the interest to sustain biodiesel for the energy
production has recently been renewed as a replacement for petroleum
diesel in conventional diesel engines. This was due to its renewable
nature, low toxicity, high degradability and unique physical properties
(high flash points & lubrication). Castor oil, in particular, appeared
promising for biodiesel production with extremely low cloud and pour
points; making it suitable for tropical climates. Blending petroleum
diesel with castor oil biodiesel has been proven efficient for enhancing
both the environmental effect and the kinematic flow properties of the
mineral fuel. Nonetheless, because of the current market price of
conventional diesel, the blended product appeared cost-ineffective;
steering research to tune the use of castor oil biodiesel alone. In this
study, a simple method is recommended to produce biodiesel from castor
oil by a transesterification process. The effect of mixing time of oil
and alcohol is optimized with a thorough analysis to optimize the best
condition for the biodiesel production. |
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Title: |
Kinematics and singularity analysis of
3-PRS parallel kinematic mechanism |
Author (s): |
Liaquat Ali Khan, Muhammad Faizan Shah,
Muhammad Ramiz and Kamran Nazir |
Abstract: |
Parallel manipulators have gained a lot of attraction from the research
community. They come in various configurations. This paper mainly
addresses the issues regarding kinematics and singularity analysis of
prismatic revolute and spherical (3-PRS) parallel mechanism. A
comprehensive and simple approach is presented to estimate the detailed
kinematics, and singularity model of 3-PRS mechanism. For kinematic
analysis first CAD model of the proposed 3 PRS mechanism is made using
Autodesk inventor professional software. Starting with the inverse
kinematics an analytical model is derived. For forward kinematics both
analytical and numerical analysis are performed to ensure the efficiency
of the presented methodology and results are compared with the presented
CAD model which are closely related to each other. The singularity
analysis is also done and presented in this paper. |
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Title: |
YAW movement identification of an unmanned
aerial vehicle using a frequency domain method |
Author (s): |
Faiber Robayo Betancourt, Fredy H.
Martmnez S. and Daniel Suesczn-Dmaz |
Abstract: |
In
this work, a frequency domain method based on the Transfer Function
Analyzer (TFA) technique to identify the yaw movement of an unmanned
aerial vehicle (UAV) helicopter was presented. This study's contribution
was to use a variable sample time instead of the traditional fixed
sample time. The Transfer Function Analyzer identification was compared
with an identification method using CIFER (Comprehensive Identification
from Frequency Responses), a commercially available tool designed for
aircraft identification. The two results were quite close for the two
experiments. |
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Title: |
Energy efficient cluster based approach
for load balancing in WSN |
Author (s): |
Hyder Ali Hingoliwala and Gandharba Swain |
Abstract: |
During the last decade there has been a rapid growth of wireless sensor
technology. Wireless sensor networks (WSNs) are widely deployed for a
variety of applications. In WSN the sensor nodes are operating with
limited battery power, so consumption of energy should be done very
carefully to make the network long lasting. Therefore, efficient power
utilization is a major concern for the researchers. This paper proposes
an extended energy efficient clustering algorithm (EEECA) for load
balancing in WSNs. It works in three phases, (i) initialization phase,
(ii) setup phase, and (iii) transmission phase. In initialization phase,
the network is splitted into number of clusters and for each cluster a
cluster head (CH) is selected based on residual energy and mean
distance. During setup phase, the base station (BS) sends routing
information to all the sensor nodes informing about their CH. A sensor
node knows the distance from any other node within the cluster and
computes its transmission power. The base station allocates time
division multiple access (TDMA) to the cluster nodes. In transmission
phase, the sensor nodes in each cluster transmit data to cluster head as
per the allocation of transmission time. The CH aggregates all the data
and compresses it and sends it to the BS. The algorithm has been
simulated using Java and Jung Simulator. Its performance has been
estimated by the parameters like throughput, energy consumption,
residual energy, and network energy. These results are also compared
with the existing algorithms. It is found after analysis of the results
that proposed algorithm shows better results in all the above
parameters. |
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Title: |
Economical comparative study for lighting
systems using energy consumption factor |
Author (s): |
A. E. H. Gaballah, E. M. El-Moghazy and
Alaaeldin Abdelmageed |
Abstract: |
The
paper presents a comparative study of some commercial LED lamps for
indoor lighting using the energy consumption factor. This article
focuses on providing a suitable level of illumination utilizing LED
lighting bulbs of various wattages to illuminate a 50-square-meter area,
as well as their energy consumption. The CIE publication (S008/E-2001)
has recommended an illumination level of 500 lux for indoor workplaces
such as offices. The study has included three sets of commercial LED
lamps purchased from three companies designated as E, T, and V. Each set
included three duplicated lamps with different wattages such as 9, 12,
and 15 Watt for repeatability. Thus, a summary of the measured
photometric and electric parameters for these lamps was measured to
assess their energy consumption. |
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Title: |
Identification of diseases and lesions in
the coffee leaf using a convolutional model |
Author (s): |
Fredy H. Martmnez S., Holman Montiel A.
and Edwar Jacinto G. |
Abstract: |
The
planting and commercialization of coffee is an important source of
economic resources and commercial dynamizer for many developing
countries, particularly with economies that are strongly dependent on
agricultural production, as is the case of Colombia. Coffee is the most
important export product of the country and enjoys a high reputation for
its quality and flavor. Although the country has done a lot of research
to develop the sector, investment in technology is very low, and most of
its cultivation for export (of the highest quality) is done by small
coffee families without a high degree of technology, and without major
resources to access it. The quality of the coffee bean is strongly
sensitive to various diseases induced by environmental conditions,
fungi, bacteria, and insects, which directly and strongly affects the
economic income of the entire production chain and the country. In many
cases the diseases are rapidly transmitted, causing great economic
losses. A quick and reliable diagnosis would have an immediate effect on
reducing losses, which is why the development of a low-cost embedded
system capable of making reliable diagnoses in the hands of peasant
farmers is proposed. In this article, we propose the development of a
software model capable of identifying in real-time the possible disease
of a plant from an image of a leaf. For this, we use a DenseNet
convolutional neural network trained with 1250 images corresponding to
five categories that include the most important diseases of the plant.
Laboratory tests show that the proposed model is capable of operating on
a low-cost embedded system with a high-performance rate by correctly
categorizing the plant's leaves against an unknown set. |
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Title: |
A review of the significance of feed water
temperature on the health of a steam boiler |
Author (s): |
Davis F., Okwabi R. and Oman E. K. |
Abstract: |
This
paper presents a review of the significance of feed water temperature on
the health of the steam boiler. Feed water temperature was identified as
one of the main parameters that influence the health of the steam boiler
due to its strong correlation to performance. This review is influenced
by the fact that considerable knowledge abounds in research work about
the effect of feed water temperature on the health of steam boilers but
they are scattered. In this review an attempt is made to assemble the
information in a compact manner to call attention to the importance of
feed water temperature in relation to the health of steam boilers to
assist in boiler design and maintenance by engineers and technicians.
The effect of other factors, examples; quality of feed water on boiler
performance have also been captured in this review. From the study, a
minimum increase in boiler feed water temperature is recognized as a
progression to improve the steam boiler efficiency (a minimum rise in
boiler feed water temperature of about 20 degrees Celsius is estimated
to improve boiler efficiency by 3 to 4 per cent). By using deaerators
whose main purpose is to remove dissolved gases in the feed water and in
the process increasing quality of the feed water and its temperature, we
succeed in reducing the temperature gradient between the feed water and
its tubes resulting in reduction of thermal fatigue and shocks in the
alloyed steel walls. This improves the health of the steam boiler. |
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Title: |
Hybrid mixed basis vector based direction
of arrival estimation using Sparse Bayesian Learning Algorithm |
Author (s): |
Mamatha M. C. and H. C. Sateesh Kumar |
Abstract: |
Antenna
with Non-uniform linear array is sophisticated for the reconfigurable
antenna setup. This paper deals with the DOA estimation of signals with
non-uniform linear array setup adopting the sparse representation based
implementation. A Mixed basis vector based sparse representation is
adopted in this paper to predict the DOA estimation. MATLAB based
implementation is carried out for the DOA estimation for non-uniform
linear array setup and estimation accuracy is analyzed for the proposed
work. Estimation accuracy is found from different waveforms generated
from the results which involve graphs like Signal to Noise Ratio versus
Mean Square Error. The results thus obtained are compared with the
traditional methods to validate the performance of the results obtained
from the proposed method. |
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Title: |
A sustainable approach to a Cartesian
robotic ARM |
Author (s): |
R. Swarnalatha, Swetha Perial, Samar
Kulsoom and Saaima Anwar |
Abstract: |
This
research deals with the construction and designing of a sustainable
robotic arm with five degrees of freedom and memory. The entire setup
was simulated using the Arduino UNO microcontroller and Arduino IDE
software. The arm designed can perform basic useful functions including
but not limited to, picking up and placing objects in desired locations.
The arm has great flexibility and is highly adjustable owing to the five
degrees of freedom it possesses. This investigation deals with the
designing and implementation process of a fully functioning robotic arm.
The robotic arm is created to move around with five degrees of freedom
across a plane in order to increase the range of activities it can
perform. The movements of the arm can be recorded and replayed making it
useful to carry out redundant functions present in the daily routine of
man. The arm is made up of environment friendly materials so as to
attain sustainability and not further lead to environmental degradation.
The robotic arm and its features are explained in detail along with the
pertinent need for sustainability. The construction and circuitry
involving the internal and external connections concerned are discussed
along with the program code executed on Arduino. |
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Title: |
Automatic control systems in the
development of document management components based on SaaS solutions |
Author (s): |
Diana R. Grigoreva, Gulnara A. Gareeva,
Ruslan R. Basyrov and Aigul G. Faizullina |
Abstract: |
Small
businesses face unique challenges in operating their own IT
infrastructure. Among them is the ability to have and maintain data
centers capable of supporting business. Even IT services companies may
not have the expertise to manage an IT infrastructure. As a result,
small businesses tend to use Internet resources to meet business needs.
An increase in the efficiency of small businesses with the help of SaaS
solutions is presented in terms of resource costs for the deployment and
maintenance of infrastructure in the field of document management. When
the developed system components are introduced to the enterprise, its
overall efficiency will increase due to organized work with documented
information and reduce the use of company resources associated with the
costs of deploying a document management system. |
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