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ARPN Journal of Engineering and
Applied Sciences
June 2022 | Vol. 17 No. 11 |
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Title: |
Design of vehicle for pumping and
irrigation of fruit crops activated with solar photovoltaic energy |
Author (s): |
Edwin Rza R., Sazl Hernandez M., Leonardo
Cely G., Gonzalo Moreno, Angela Gonzalez A. and Adriana Granados G. |
Abstract: |
This
paper presents the design and analysis of efforts of a vehicle without
trailer-type engine, to transport a photovoltaic solar pumping system
useful for irrigation of fruit tree crops. This vehicle is a solution to
the great need that farmers have, especially in the summer months, and
is to take water from reservoirs, lakes, deep wells, among others, to
crops. Currently, they use ACPM or gasoline pumps, taking risks in
transporting the fuel, generating environmental pollution and spending
large amounts of money. In this project, a descriptive and applied field
methodology was used. For the dimensioning of the photovoltaic solar
system, the ampere-hour methodology is applied, based on calculations of
overall performance, days of autonomy, annual peak sun hours and losses
for each component. With the characterization of the crops. The
irrigation system equipment was selected, and were installed in a
trailer protected by a metal box. This vehicle can be transported in
various ways, by animal traction, by a motorcycle with a hook or shot,
or pushed by people since it is light, (300 kg approximately). It is an
economic vehicle; the period of recovery of the investment is less than
five years, with a useful life of more than twenty years. This system is
a practical, economic, innovative solution with great social impact for
the agricultural sector, generating savings in personnel, fuel,
electricity, among others. |
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Title: |
Ionometric determination of cocamidopropyl
betaine |
Author (s): |
Myroniak M. O., Volnyanska O. V., Labyak
O. V., Nikolenko M. V. and Ruzhenko-Mizovtsova N. O. |
Abstract: |
This
article reports on the development of an ionometric sensor for the
determination of the amphoteric surfactant cocamidopropyl betaine. It
was found that low-soluble complex compounds with the composition
(CAPB)3(PMo12O40)2 and (CAPB)3(PW12O40)2 are formed as a result of the
interaction of the cation of the test substance with the anions of
heteropoly acids. The obtained compounds were used as electrode active
substances for polyvinyl chloride membranes of ionometric sensors.
Phthalic acid derivatives (dibutyl and dioctyl phthalates) were used as
solvents for plasticized membranes. The study of the dependence of the
electrochemical properties of the obtained sensor membranes on various
factors was carried out. This made it possible to choose the optimal
conditions for the operation of the ionometric sensor. The detection
limit of cocamidopropyl betaine using this sensor is 1.010-6 mol/l and
quantitative determination can be carried out in a fairly short time
(5-10 minutes). |
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Title: |
Flexural behaviour of RC beams wrapped
with Carbon Fibre Reinforced Polymer |
Author (s): |
C. Sudha, P. R. Kannan Rajkumar and M.
Jegan |
Abstract: |
Fiber-reinforced polymer (FRP) composites are broadly utilized in
advanced concrete technology given their dominance over outmoded steel
reinforcements. These materials have high strength limit and consumption
obstruction and can be utilized as the fundamental fortifications in mix
with glues and safe havens to fortify strengthened reinforced concrete
(RC) beam members. The preliminary objective of this investigation is to
study performance of RC beams by using Carbon Fibre Reinforced Polymer (CFRP).
The different strengthening configurations are considered (balance
section, under reinforced section with the use of Carbon Fibre
Reinforced Polymer (CFRP). Eight reinforced concrete beams with and
without CFRP were cast and tested to find the flexural performance of
M30 and M40 grade concrete. The beam is tested under the two-point
loading and the failure load was measured, and it is analysed. The load
carrying capability of beam increases in flexure with CFRP wrapping
indicates that the depth of the section can be reduced without
compromising on the deflection. This indicated that wrapping of beam
with CFRP increase the flexural strength of RC beam in multifold. |
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Title: |
Finite element model development of
proximal femur bone under static and dynamic sideways fall |
Author (s): |
Wong Kah Poh, Fauziah Mat, Ishak Ibrahim,
Masniezam Ahmad and Ruslizam Daud |
Abstract: |
A
femoral fracture happens when the femur gains a very high stress
concentration during fall and may result in femur fracture. In fact,
most fall-related cases occur in sideways falls. Bone fracture leads to
life quality impairment and may even be life-threatening. In this study,
the effects of quasi-static and dynamic loading on the femur bone during
a sideways fall are investigated by employing the finite element (FE)
software ANSYS. The FE model is developed and simulated in different
fall conditions; inclination angle of 10: and rotation angle from -20:
to 30: for static and dynamic loading conditions. The capacity of the
bone is evaluated in terms of von Mises stress, von Mises strain and the
total deformation at three different positions: femoral neck, greater
trochanter, and intertrochanteric, during sideways falls. For dynamic
results, the greater trochanter exhibits the highest von Mises stress
and strain at a 30: rotation angle and impact velocity of 3 m/s. For
static loading, the femoral neck demonstrates the highest von Mises
stress and strain at a 30: rotation angle and loading force of 4500 N.
It is found that the highest deformation occurs at a 30: rotation angle
and impact velocity of 3 m/s. These findings show that the femoral neck
and greater trochanter are prone to fracture at an inclination
angle, ? = 10:, and the rotation
angle, ? =
30: during a sideways fall. The understanding of the effect of the
femoral bone capacity under multiple loading conditions during a
sideways fall is useful in assisting the medical practitioner to provide
better treatment and support for patients and hence reduce repeated
treatment cases. |
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Title: |
Land Use Land Cover classification using
multi-spectral Sentinel-2B satellite image |
Author (s): |
N. Anusha, Sneha B., Jyothi M., Vihasitha
G. and Saisri N. |
Abstract: |
Land
Use Land Cover (LULC) classification plays a key role in sustainable
planning, management, and supervision programme at the local, regional,
and national level. With a high level of precision, in this work the
Principal Component Analysis (PCA) is utilized to suppress the noise and
extract the characteristics from the Sentinel-2B satellite data. The
resultant components of PCA are given as input to the K-means clustering
algorithm. K-means clustering algorithm clusters the similar pixels into
groups. This research performs LULC classification of a multispectral
satellite image by utilizing Random forest classification method. The
study area considered in this paper is the area covering in and around
G. Narayanamma Institute of Technology and Science (GNITS), Shaikpet,
located in Hyderabad, Telangana, India. Optical image obtained by
Sentinel-2B satellite on February 27, 2021 is used in this study. To
conduct a subjective evaluation of the clusters obtained by K-means
clustering and to identify the LULC classes, the Google Earth Engine
perspective of the study area is used. Classification of LULC performed
by applying Random Forest model on the testing data resulted with an
accuracy of 87.60%. |
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Title: |
Evaluation of hydrogen-induced cracking in
ASTM A 36 steel samples in an acid medium and subjected to uniaxial
stress |
Author (s): |
Wveimar Briceqo Castillo, Edwin Torres D.,
Rafael Bolmvar Leon, Edwin Rza R., Sazl Hernandez M. and Gonzalo G.
Moreno |
Abstract: |
The
work of reconditioning or "workover" in Colombian oil producing wells
has as main function to increase flow capacity and production flow. For
this, operations with acid stimulation treatments are implemented,
including acid washes to well production pipes to dissolve scale and
mineral deposits that reduce and obstruct the effective flow area and
generate failure due to hydrogen-induced cracking. HCl, is one of the
most commonly used acids in these processes, which is why it will be
used in this study to determine its reaction in the mechanical
properties of an ASTM A 36 steel. Two concentrations of HCl will be used
as corrosive and contributor medium hydrogen to steel at 30 0 C,
atmospheric pressure, and 5 periods of different immersion times; to
determine the conditions that favor the development of cracks and their
effect on the failure of the material. Once the immersion times have
passed, the test pieces will be subjected to tension and Charpy tests,
analyzing them microscopically to perform the failure analysis. At the
end of the study, the results obtained will show when the steel and
tabular plates failed, and the variations in mechanical properties will
be plotted. |
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Title: |
Grey incidence method on abrasive water
jet machining of AL7075/Al2O3 composite |
Author (s): |
A. Muthulakshmanan, R. Adalarasan and M.
Santhanakumar |
Abstract: |
Abrasive waterjet has been used to cut both ferrous and non-ferrous
materials. The process is eco-friendly and creates minimal distortion of
workpiece. The present work reports the analysis of surface roughness
and kerf angle in abrasive water jet machining of Al7075/Al2O3
composite. Taguchis L9 orthogonal array is used for conducting the
machining experiments with two replications. The process parameters like
water jet pressure, traverse rate, stand-off and abrasive flow rate are
varied in three levels. The quality characteristics are studied and grey
incidence method is applied to find out the optimal process parameters
for better values of responses. Grey relational grade is employed as the
quality index and analysis of variance is also performed to find the
contribution of individual parameters in affecting the responses. The
predicted optimal conditions are validated using proper machining trials
during which noteworthy improvements are seen in kerf angle (30.8%) and
surface roughness (14.32%). |
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Title: |
Electrophoretic Registers: Signal brain
classification using support vector machine and wavelet in meningitis
contaminated rats |
Author (s): |
Luis Enrique Mendoza, Gonzalo Moreno and
Cisar Peqa |
Abstract: |
This
paper proposes a new method for the classification of Capillary
Electrophoretic Registers (CER) retrieved from the cerebrospinal fluid
samples taken from meningitis contaminated rats. The proposed approach
applies several signal processing tools such as wavelet analysis,
dynamic programming, principal component analysis, and support vector
machines (SVM) for data pre-processing, feature extraction. Furthermore,
an algorithm is developed that detects zones in the Capillary
Electrophoretic Registers (CER), where local energy variations between
study groups are observed. This algorithm helps us to identify the
effects that Klebsiella Pneumoniae bacteria produce in certain
substances that are part of the cerebrospinal fluid samples. It is shown
that Meningitis disease can be effectively detected with the proposed
methods. Furthermore, we show that exploiting the information related to
the local energy variation improves the classification correctness rate
up to 97.3%. This classification performance is obtained using least
square SVM as classification tools and the parameterized CER
representation proposed in this paper. |
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Title: |
Facilitating differential QoS adaptive to
user, content and network dynamics in mmwave back hauling based 5G
heterogeneous networks |
Author (s): |
L. Manjunath and N. Prabakaran |
Abstract: |
MmWave overlay 5G heterogeneous network (HetNet) proposed to boost the
capacity of 5G networks has limited performance due to spectrum resource
occupancy by backhaul links. Caching contents is a solution to solve the
spectrum occupancy problem. Caching reduces the load on backhaul links
and improves the utilization of access links. Most of the existing
caching strategies use content popularity as the only factor and dont
consider the priority of mobile nodes and need to provide differential
QoS to users based on user characteristics and network dynamics. This
work proposes a machine learning based strategy to manage the cache and
backhaul resource allocation with the goal of providing differential QoS
to user based on its priority and the current network dynamics at same
time without degrading the average potential throughput. Cache
management is adapted automatically to network dynamics, user
characteristics and content characteristics using reinforcement
learning. |
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Title: |
Comparative study on the performance
evaluation of infinite failure NHPP software reliability model with
Log-Type distribution property |
Author (s): |
Tae-Jin Yang |
Abstract: |
In this
study, the performance of software reliability is evaluated by applying
the Log-Type (Log-Poisson, Log-Power, Log-Logistic) distributions to the
infinite fault NHPP model. For this study, a research solution was
developed by an analysis algorithm using software failure time data.
Also, maximum likelihood estimation (MLE) was applied to solve the
parameter values, and the nonlinear equation was calculated using the
binary method. As a result, first, in the strength function analysis,
the Log-Logistic model was evaluated as an efficient model because the
failure rate showed the greatest decrease as the failure time passed.
Second, in the mean value function analysis, the proposed models showed
either underestimation or overestimation in estimating the true value,
but the Log-Logistic model was effective as it showed the smallest error
estimation along with the Log-Poisson model. Third, in the future
mission reliability analysis, the Log-Logistic model was evaluated to
show a higher reliability trend than other models whose reliability
gradually decreased as the mission time passed. In conclusion, by
analyzing these evaluation results, it can be seen that the Log-Logistic
model is an efficient model with the best performance among the proposed
models. Through this study, the reliability performance of the Log-Type
distribution model was newly compared and evaluated, and it was able to
help software developers to find the optimal software reliability model. |
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Title: |
Asynchronous algorithm for the
transmission of data packets in multi-robot systems |
Author (s): |
Holman Montiel Ariza, Fredy H. Martmnez S.
and Faiber Robayo Betancourt |
Abstract: |
This
paper proposes a strategy that increases the efficiency of the
communication established in a system of multiple robots with an
asynchronous algorithm that detects the occupation level of the
transmission bus. Multiple-robot systems with several operational levels
sometimes implement mechanisms to exchange information to avoid conflict
or damage between these levels during operation. Normally, these
mechanisms synchronize all robots, tools or accessories in the system
and are composed of a physical layer, a sender and a receiver; where the
message to be sent from one robot to another is encrypted using a
protocol to increase the security level of the established link.
Although, in ideal conditions the transmission of messages is
satisfactory and there are no losses of information, in reality the
mechanisms of data transmission that have a high transit of messages do
not reach an efficiency of one hundred percent, because, the
transmission buses or communication channels are limited by the
bandwidth, the environmental conditions or the speed of processing of
each individual robot. |
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