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ARPN Journal of Engineering and Applied Sciences >> Call for Papers

ARPN Journal of Engineering and Applied Sciences                           August 2021  |  Vol. 16  No. 16
   
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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