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ARPN Journal of Engineering and
Applied Sciences August 2021 | Vol. 16 No. 16 |
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Title: |
Simulation design studies for biodiesel production from castor oil |
Author (s): |
Ahmed H. Ali, Yaser M. Asal and Islam M. Al-Akraa |
Abstract: |
This manuscript highlights the importance to shift from the use of
traditional fossil fuels to the clean energy sources such biodiesel. In
this regard, simulation design studies have been conducted using ASPEN
HYSIS software for the production of pure and blended B20 biodiesel form
castor oil. The simulation cases will be introduced and the properties
of the pure and the blended B20 biodiesel will be highlighted. A
superiority of the biodiesel B20 blend over the pure one has been
highlighted in terms of enhancing, most importantly, the viscosity and
the density beside to other properties which also will be summarized. |
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Title: |
Prediction of mechanical properties of 3D printed aluminium
PLA: A fuzzy
logic approach |
Author (s): |
Chockalingam Palanisamy, Chin Chee Wen and K. Ganesh Kumar |
Abstract: |
Manufacturing sector is developing new and improved methods. 3D printing
is one of the most innovative features. Desired final quality of the 3D
printed part is crucial. The objective of this research is to develop a
fuzzy logic modelling to predict the tensile strength, hardness, and
compression strength of 3D printed aluminium PLA part. The input 3D
printing parameters used are the layer thickness, number of shells and
infill density. A range of 0.1mm to 0.3 mm is used for layer thickness.
Next, 1 to 4 number of shells parameters and infill density of 20% to
80% are used as well for the input printing parameters. The results
obtained are fed into Fuzzy Inference System (FIS) in MATLAB software to
develop a fuzzy system. Finally, the model was used to predict data for
random input variables. With the input parameters new parts were printed
and mechanical properties were measured. The comparison of experimental
data and fuzzy predicted data shows that less 5% of variations, which
validate the developed model. |
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Title: |
Development of calculation methodology for triangulation measuring
devices |
Author (s): |
Minnigazimov R. I. and Mitrofanov S. S. |
Abstract: |
The paper presents a methodology for simplified energy calculation in
triangulation measuring devices. Parameters calculation taking into
account the influence of the shape and size of the research object on
the efficiency of the developed device. One of the tasks solved by
triangulation devices is the constant monitoring of the load-bearing
structures of hydroengineering structures technical condition.
Displacement measurement of control points of vertical strings, allows
to observe the state of hydroengineering structures and to monitor the
displacement of the dam body. The triangulation method of measuring the
distance from the measuring device (strings) to the surface of the
object assumes that the monitored object itself is included in the
optical scheme of the measuring device. Its characteristics (shape,
surface character and location relative to the measure) can
significantly influence on the results of triangulation measurements. A
functional diagram of the control instrument was developed. A
methodology for calculating energy based on the specific nature of the
task was proposed. |
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Title: |
Monitoring system for water level in observation wells |
Author (s): |
Jorge Luis Aroca Trujillo, Ruthber Rodriguez Serrezuela and Jairo
Antonio Sepulveda Gaona |
Abstract: |
The phreatic level is the upper level of the free groundwater, with a
pressure equal to the atmospheric pressure. The depth can vary according
to the geological medium, ranging from several centimetres to several
tens of meters, depending on the region. This level can be determined by
measurements taken from the airplane, resisted determinations or the
realization of a perforation in the ground to measure the depth of the
water. In this document, a wireless monitoring system with level sensors
is made in each hole in the ground or well. These measurements were
transferred to a coordinator node through ZigBee modules, which are
stored in an EEPROM memory. Once the data of several days of all the
wells that are monitored are obtained, they are downloaded and processed
in an interface developed in Matlab for further analysis. |
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Title: |
Efficiency of photoelectrochemical water splitting process using
TiO2
and Cu2O photoelectrodes |
Author (s): |
Álvaro Realpe, Brenda Chamorro and María T. Acevedo |
Abstract: |
Photoelectrochemical water-splitting (PEC) is a clean alternative for
hydrogen generation using a renewable resource. In this work, the
photocurrent performance was measured in a borosilicate cell with a
two-electrode configuration: a Cu2O photocathode and N-doped TiO2 and
TiO2 photoanodes. The specific characteristics of these oxides (TiO2 and
Cu2O) are suitable for use as photoelectrodes. The efficiency of
hydrogen production (Solar to Hydrogen Conversion Efficiency-STH) from
photoelectrolysis was determined by using different types of electrodes.
STH increased at a higher percentage of N deposited in the crystalline
lattice of the semiconductor material up to 20% N-doped, from which the
efficiency decreased due to excess defects in the material. |
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Title: |
Computationally efficient structure and calibration procedure for an
8-channel hybrid filter bank |
Author (s): |
Vil Magsumov, Denis Chirov and Vladimir Priputin |
Abstract: |
Currently, methods based on filter banks are widely used in such areas
as digital signal processing, broadband communication systems, radar,
image processing. There is a separate class of filter banks - hybrid
filter banks, which are widely used in the construction of
analog-to-digital converters with time division. The difficulty in
constructing radio systems based on hybrid filter banks lies in the
design of an analysis-synthesis system consisting of both analog and
digital filters. This article discusses the construction procedure and
structure of a broadband radio receiver based on an 8-channel hybrid
filter bank with a pair structure and its calibration procedure. In
existing publications, such a structure was not been previously
described. Only a 4-channel hybrid filter bank with a pair structure is
considered. An increase in the number of channels allows increasing the
width of the processed frequency band at equal sample rates for the ADC
and vice versa, expanding the dynamic range of the receiver with the
same frequency band. In contrast to the classical scheme, the proposed
technical solution allows the use of fewer analog filters, which in turn
reduces the computational load to compensate for the imperfection of the
transfer characteristic. |
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Title: |
3-D path estimation for a robotic arm focused on food collection using a
CNN regression approach |
Author (s): |
Javier O. Pinzón-Arenas, Robinson Jiménez-Moreno and Giovanna Sansoni |
Abstract: |
To achieve autonomy of robotic agents, the estimation or planning of
paths is one of the most relevant aspects, since this allows the robots
to carry out the movements required to achieve a specific task within a
work area. Various increasingly robust techniques have appeared and/or
have been applied in this area, such as convolutional neural networks
(CNN). This paper presents the implementation of a cascade CNN set, in
such a way that, based on an input image that consists of a food dish, a
10-point path is obtained in a three-dimensional space, forming a path
that enters to a given area and generates a movement of food collection.
The first network, responsible for segmenting the image to obtain the
area of the required food is called ResSeg. The second network is a
ResNet-50 model modified to be applied in a regression framework, whose
function is to estimate the path of the robot to perform the collection
task, based on the segmentation obtained from the previous network. An
accuracy of 90.33% is obtained in the path estimation, with a general
deviation of 12.55 mm, taking into account a deviation threshold of ± 20
mm. Likewise, the network is tested in real-time in a virtual
environment, applying the estimated path to a robotic manipulator of 4
degrees of freedom, being able to demonstrate the reliability and
smoothness of the estimated path in the execution of the task. |
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Title: |
Enhancing Self-Assessment using social learning strategies and learner
characteristic factors in massive open online courses (MOOCs) for
language learning |
Author (s): |
H. Hashim, S. Salam, S. N. M. Mohamad and M. M. Abdullah |
Abstract: |
Massive Open Online Courses (MOOCs) provides an effective learning
platform with various high-quality educational materials accessible to
learners from all over the world. On the other hand, assessment plays an
important role to improve student performance in MOOC learning. However,
issues in assessment designs contribute to a lack of student engagement.
Hence, a suitable assessment design should be developed in MOOC for
language learning. A literature review was performed to identify the key
principles of social learning theory and dimensions of learner
characteristics. Five research questions have been constructed to assist
the study. Results of the study are then used in formulating a
conceptual model for a Self-Assessment based on social learning
strategies, and dimensions of learner characteristic factors. Findings
of this study are two folds: i) a conceptual Self-Assessment model based
on social learning strategies and learner characteristic factors for
improving student engagement in MOOC for language learning, and ii) a
Self-Assessment model based on social learning and learner
characteristic factors to improve language learning using MOOC. In the
future, student performance will be investigated using that
Self-Assessment MOOC model in language learning based on social learning
and learner characteristic factors. |
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Title: |
Effect of oil shale particles on the activation energy of polystyrene
sheets |
Author (s): |
Husam Miqdad and Abeer Adaileh |
Abstract: |
Electrical properties of hybrid polymer sheets, made of Polystyrene
filled with oil shale particles, have been investigated. The observed
physical constants of the sheets like activation energy were determined.
The present study has studying the variation of activation energy with
frequency in the range (200-1000 kHz) and temperature in the range (30
oC-90 oC) for composites as compared to that case of neat polystyrene
sample. The observed values of the activation energy (Ea) showed
frequency and temperature. It was found that the activation energy of
the prepared sheets decrease with oil shale concentration in the
composite and that it decrease with temperature according to
polarization processes. The activation energy of the prepared sheets
increase with frequency. |
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Title: |
Detecting and diagnosing electrical faults
in photovoltaic system |
Author (s): |
Ramya D. and D. Godwin Immanuel |
Abstract: |
This
paper depicts better way to detect the faults, due to short-circuit (SC)
and open-circuit (OC) faults, inverter disconnection (ID) and partial
shading (PS). Fault detection indicators namely, current indicator,
voltage indicator and power indicator identifies healthy from portions
under fault. Single diode PV model with artificial bee colony (ABC)
optimization algorithm extracts the unknown model parameters. Parameters
for PV operation are determined by the coordinates of the maximum power
point (MPP) [1, 2]. Calculation of indicators are achieved from measured
and predicted MPP coordinates. Computed indicator values after trial and
error will result in identifying the healthy and faulty operation of PV
system. PV arrays are non-linear characteristics and quite expensive [3,
4]. Solar panel has been developed in many engineering fields using some
software like MATLAB /SIMULINK. PV system converts light energy to
electrical energy. |
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Title: |
Automatic counting people system as a
strategy to control COVID-19 spread |
Author (s): |
Julián R. Camargo L., César A. Perdomo Ch.
and Oscar D. Flórez-Cediel |
Abstract: |
This
paper proposes an Automatic counting people system as a strategy to
control COVID-19 spread. The system proposed allows counting in
real-time the number of people in a specific space, that information can
contribute to the decision of the number of people that can enter a
space. The automatic counting people system contributes to keeping the
minimum distance between each person, a measure that many governments
have implemented as a tool to prevent COVID-19 spread. The counter was
implemented using an ESP8266 module, which is a low-cost device with a
great capacity for information. |
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Title: |
A technique for checking the adequacy of
formal model |
Author (s): |
Vadym Shkarupylo, Jamil Abedalrahim Jamil
Alsayaydeh, Igor Tomicic, Alexander Chemeris and Valentyna Dusheba |
Abstract: |
In this
paper, the question on the expediency of checking the model, the model
checking method is applied to, is discussed. To this end, corresponding
technique has been proposed. Named technique is based on differentiation
between the concepts of analytical plane of model perception and the
concepts of corresponding implementation plane. The technique is
grounded on the following constituents: Kripke structure - for
analytical interpretation of formal specification; Temporal Logic of
Actions and corresponding formalism - as the instruments for shifting
from the analytical plane to the implementation one; TLC model checker -
to examine the correctness of formal specification – with respect to the
concepts of implementation plane. To prove the proposed technique, the
case study has been conducted. To this end, the algorithms from the
spacecraft domain have been considered. To verify the resulting
specifications, two alternative implementations of TLC model checker
have been applied. |
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