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International Journal of Advances in Applied Sciences

IJAAS
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Published by Institute of Advanced Engineering and Science

ISSN : 22528814 EISSN : 27222594 DOI : http://doi.org/10.11591/ijaas

Core Subject : Science, Education, Social,

Earth & Planetary Sciences Environmental Science Materials Science & Nanotechnology Mathematics Physics

International Journal of Advances in Applied Sciences (IJAAS) is a peer-reviewed and open access journal dedicated to publish significant research findings in the field of applied and theoretical sciences. The journal is designed to serve researchers, developers, professionals, graduate students and others interested in state-of-the art research activities in applied science areas, which cover topics including: chemistry, physics, materials, nanoscience and nanotechnology, mathematics, statistics, geology and earth sciences.

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Articles 11 Documents

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Search results for , issue "Vol 9, No 4: December 2020" : 11 Documents clear

An experimental study on performace of starch extracted from wheat flour as filtration control agent in drilling fluid Raheel Iqbal; Fawad Pirzada; Muhammad Zubair; Ameer Mehmood
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

The phenomenon of lost of mud filtrate into a porous permeable formation due to high hydrostatic pressure compared to the formation pressure is known as fluid loss. This cause some major problems in well during drilling as poor cementing job, pipe stuck, and formation damage. Thus, to safe the well from such problems and in order to make safe and effective drilling an additive from wheat flour is extracted which is starch, and acting as a fluid loss control agent. The purpose of this research is to investigate the potential of utilizing this additive to form environmentally safe, non-toxic, high biodegradability and low-cost water-based drilling fluid samples with varying the amount of starch. Experimental results showed that Efficiency of starch obtained from wheat-flour is showing increment in rheological properties as compare to starch present in market by using same and varying quantity of both and observed that wheat-flour starch is more efficient as compare to starch in market. On the other hand, the efficiency of starch is good but it has been also improved by the extraction of starch from wheat-flour by the centrifugation process.

A NEW FRACTIONAL MODEL AND OPTIMAL CONTROL TO MODEL CHAOTIC PROBLEMS Chen, Johnny; Chen, Timothy; Daleanu, Bunnitru; Chan, Tim; Souissi, Doukaima; Oksendal, Lucian
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v9.i3.pp%p

The point of the article is to plan a productive mathematical technique to illuminate a class of time partial ideal control issues. In this issue definition, the fragmentary subordinate administrator is considered in three events with both solitary and non? particular pieces. The fundamental provisions are determined for the optimality of certain issues and the advanced technique is assessed for various decisions of subsidiary administrators. An optimal control strategy for studying the results on the proposed control model is also utilized. Recreation results show that the proposed procedure functions admirably and master vides tasteful outcomes with extensively less computational time than the other existing strategies. The contribution of their study is that Near outcomes likewise check that the partial administrator with Mittag? Leffler piece in the Caputo sense enhances the execution of these controlled frameworks as far as the transient reaction contrasted with the other fragmentary and whole number subordinate administrators.

Real power loss reduction by arctic char algorithm Lenin Kanagasabai
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

This work presents Arctic Char Algorithm (ACA) for solving optimal reactive power problem. In North America movement of Arctic char phenomenon is one among the twelve-monthly innate actions. Deeds of Arctic char have been imitated to design the algorithm. In stochastic mode solutions are initialized with one segment on every side of to the route ascendancy; particularly in between lower bound and upper bounds. Previous to the movement, Arctic char come to a decision about the passageway based on their perception. This implies stochastic mix up of control parameters to push the Arctic char groups (preliminary solution) in mutual pathway (evolutionary operators). Projected Arctic Char Algorithm (ACA) has been tested in standard IEEE 14,300 bus test system and simulation results show the projected algorithm reduced the real power loss extensively.

Chaotic based Pteropus algorithm for solving optimal reactive power problem Lenin Kanagasabai
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early convergence, adaptively chaotic disturbance is added at the time of stagnation. Furthermore exploration and exploitation capability of the proposed algorithm has been improved. Proposed CPA technique has been tested in standard IEEE 14,300 bus systems & real power loss has been considerably reduced.

Implementation of anti-collision train prototype based on arduino microcontroller Ahmed R. Ibrahim; Ziad M. Abood
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Because the electrical train become a popular mode and Eco-Friendly of transport in largest cities in the world in our day life and due to increase in the train accidents. In this paper a train collision avoidance system is designed and implemented using Arduino NANO and an ultrasonic sensor. A prototype is used to explain the system function using; two train samples on single track. The ultrasonic sensor is connected to the Arduino NANO to transmit the measured distance to the microcontroller and make the decision to stop the train. The ultrasonic sensor on both trains from the front end and continually measures the distance between them and when they reach the decided distance a signal to the trains engines will slow down or stop both trains to avoid a collision while when the ultrasonic sensors from the rear-end continually measure the distance between them and when it reaches the decided distance a signal to the train engine will slow down and stop the first train to avoid a collision.

Application of thermal imaging for detecting cold air leak location in cold storage P. Pathmanaban; Shanmuga Sundaram Anandan; B. K. Gnanavel; C. P. Murigan
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Nowadays Cold storage has been playing an important role in preserving the perishable food products like fruits, vegetables, dairy products, fish, and meat etc. The major problem of cold storage is unwanted energy transmission during the operation. It is necessary to maintain the constant temperature during storing the products. There are different kinds of energy loss happening during the operation. One of the major causes is cold air leaking from the inside of the cold room to outside. It is due to poor insulation and improper maintenance of cold storage. It is very difficult to identify the exact location of the leak by the naked eye. In this research work, the cold storage was inspected with the thermal imaging system. Thermal cameras are highly sensitive to temperature and it can detect the variation of temperature ranging from 0.1°C. The measured temperatures are further converted into a colour based pattern. It is known as thermogram. These colour-based thermal patterns are further processed for identifying energy transmission location. It is done by applying various image processing methods such as histogram equalization, diffusion error, otsu thresholding and morphologic function. These techniques were applied to images of cold storages and exact cold air transmission locations were identified.

Design of frequency selective surface comprising of dipoles using artificial neural network Monojit Rudra; P Soni Reddy; Rajatsubhra Chakraborty; Partha Pratim Sarkar
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

This paper depicts the design of Frequency Selective Surface (FSS) comprising of dipoles using Artificial Neural Network (ANN). It has been observed that with the change of the dimensions and periodicity of FSS, the resonating frequency of the FSS changes. This change in resonating frequency has been studied and investigated using simulation software. The simulated data were used to train the proposed ANN models. The trained ANN models are found to predict the FSS characteristics precisely with negligible error. Compared to traditional EM simulation softwares (like ANSOFT Designer), the proposed technique using ANN models is found to significantly reduce the FSS design complexity and computational time. The FSS simulations were made using ANSOFT Designer v2 software and the neural network was designed using MATLAB software.

Powerful processing to three-dimensional facial recognition using triple information Mohammad Karimi Moridani; Ahad Karimi Moridani; Mahin Gholipour
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Face Detection plays a crucial role in identifying individuals and criminals in Security, surveillance, and footwork control systems. Face Recognition in the human is superb, and pictures can be easily identified even after years of separation. These abilities also apply to changes in a facial expression such as age, glasses, beard, or little change in the face. This method is based on 150 three-dimensional images using the Bosphorus database of a high range laser scanner in a Bogaziçi University in Turkey. This paper presents powerful processing for face recognition based on a combination of the salient information and features of the face, such as eyes and nose, for the detection of three-dimensional figures identified through analysis of surface curvature. The Trinity of the nose and two eyes were selected for applying principal component analysis algorithm and support vector machine to revealing and classification the difference between face and non-face. The results with different facial expressions and extracted from different angles have indicated the efficiency of our powerful processing.

Development of software defect prediction system using artificial neural network Olatunji B. L.; Olabiyisi S. O.; Oyeleye C. A.; Sanusi B. A.; Olowoye A. O.; Ofem O. A.
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

Software testing is an activity to enable a system is bug free during execution process. The software bug prediction is one of the most encouraging exercises of the testing phase of the software improvement life cycle. In any case, in this paper, a framework was created to anticipate the modules that deformity inclined in order to be utilized to all the more likely organize software quality affirmation exertion. Genetic Algorithm was used to extract relevant features from the acquired datasets to eliminate the possibility of overfitting and the relevant features were classified to defective or otherwise modules using the Artificial Neural Network. The system was executed in MATLAB (R2018a) Runtime environment utilizing a statistical toolkit and the performance of the system was assessed dependent on the accuracy, precision, recall, and the f-score to check the effectiveness of the system. In the finish of the led explores, the outcome indicated that ECLIPSE JDT CORE, ECLIPSE PDE UI, EQUINOX FRAMEWORK and LUCENE has the accuracy, precision, recall and the f-score of 86.93, 53.49, 79.31 and 63.89% respectively, 83.28, 31.91, 45.45 and 37.50% respectively, 83.43, 57.69, 45.45 and 50.84% respectively and 91.30, 33.33, 50.00 and 40.00% respectively. This paper presents an improved software predictive system for the software defect detections.

Efficiency of bond graph and external model integration for alarm processing of a central air conditioning system Abderrahmene Sallami; Dhia Mzoughi; Hatem Allagui; Abdelkader Mami
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

The design of a supervision system based on the external model by structuring the industrial process according to several modes of operation (degraded and normal). The disadvantage of this model is that it describes the industrial process components as functions regardless of their dynamics without going into detail. Hence the interest of the bond graph model to fill the external model limits. The performance of the proposed supervisory system using both models lies in the detection and location of faults for each mode of operation. The bond graph model enriched by the concept of causality and thanks to these structural properties can clearly display the elements of the physical system taking into account their dynamics in normal and abnormal operation. The results of our research have been applied to central air conditioning system; the development of the proposed project has proceeded from the modeling stage to the reconfiguration stage of the system.

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