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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 680 Documents

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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.

Effects of autoclaving (Pleurotus osteratus) spent mushroom substrate water extract on the minerals, elicitors, cassava yield, and the management of African cassava mosaic virus Samuel Okere; Anthony Eromosele Ataga
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Farmers all over the world spend millions of dollars to partially control plant diseases that attack their crops using agrochemicals that pollute the environment. Plant diseases reduce crop yield, quality, and shelf life. Enhancing the inherent ability of plants to resist diseases using elicitors and minerals is one of the neglected, sustainable, low-cost, and environmentally friendly approaches to ensure the continued supply of food and fiber. Therefore the aim of this paper is to evaluate the composition of the elicitors and minerals in autoclaved and unautoclaved water extract of Pleurotus osteratus spent mushroom substrate and the effects of its application on the management of African cassava mosaic virus (ACMV), growth, and yield of cassava. The treatments for this investigation comprised Pleurotus osteratus water extract spent mushroom substrate (POWESMS), Pleurotus osteratus autoclaved spent mushroom substrate (POAWESMS), and untreated cassava plants as control. The mineral compositions and the elicitors in the treatments were evaluated using standard procedures. The data generated were subjected to analysis of variance (ANOVA) at (p=0.05). The results obtained from this investigation revealed significant differences in the values of resistant elicitors and minerals. Significant differences were also recorded for the growth, yield parameters, and disease severity evaluated at 4 weeks intervals. The results showed that unautoclaved water extract performed significantly better than the autoclaved in reducing African cassava mosaic disease (ACMD) severity which did not translate to higher crop yield.

Voltage stability assessment using TCSC and SVC based FACTS controllers Jena, Ramakanta; Swain, Sarat Chandra; Chirantan, Shaswat; Dash, Ritesh; Panda, P.C
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

The Most causes of Voltage instability is the sources of reactive power .In order to protect the total system from voltage instability the reactiveÂ loads can be reduced or extra reactive power can be added to reach the Voltage collapse point .The Flexible AC transmission devices(FACTS) have made it flexible and possible to preventÂ Voltage instability byÂ Fast and Flexible control method .Â Voltage collapse point is predicted withÂ TCSC andÂ SVCÂ devices and is compared with each other. The Voltage stability Indicator is derived to identify the voltage collapse point. it is concluded that voltage stability index provides a simple means to predict vulnerability of a bus in a Multibus system for voltage collapse.

Performance Enhancement of Five Bus Power System Using Shunt Based FACTS Controllers Jena, Ramakanta; Swain, Sarat Chandra; Chirantan, Shaswat; Dash, Ritesh
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

FACTS(Flexible AC Transmission System) a boost for grids, have the superior characteristics of grid flexibility,power quality improvement,long distance AC transmission & control series & shunt compensation.FACTS controllers have the inherent features of inject or absorb reactive power to/from the line at the time of requirement.These are synchronized by a bunch of power electronics based controllers.FACTS controllers are of series or shunt connected type or combination of both depending upon their connection with the transmission line.Generally these devices have the most reliable nature of enhancing the maximum power transfer capability from source end to load end.Because of this, FACTS controllers are most significantly used in recent days power system.In this paper shunt type of FACTS controller is taken for system performance analysis of a five bus system.FACTS devices considered here are SVC(Static Var Compensator) & STATCOM(Static Synchronous Compensator).Here,load flow analysis to be taken as the basic criteria for the study.Firstly,Load flow study has been conducted for an uncompensated five bus system & there by analyzing the stability limits in terms of voltage magnitude(p.u) and loss analysis in terms of overall real & reactive power losses.Then load flow study has been carried out for both the FACTS devices independently by incorporating them in to the five bus system.Also the optimal location of SVC & STATCOM is determined by installing at each bus separately & by considering the least possible losses and improved voltage profiles.A comparative study has been done here for these controllers in terms of enhancement of voltage stability and loss minimization & hence improvement of the power transfer capability.SVC & STATCOM both are of shunt FACTS controllers but they may differ in their functionality based on various system parameters in power system.The detailed performance analysis of an uncompensated & shunt compensated five bus system(SVC & STATCOM compensation) is investigated here.All the system performance study has been featured by using MATLAB/SIMULINK software.

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.

Off-grid rural electrification using integrated renewable energy sources Fortune Chukwuebuka Amanze; Destiny Josiah Amanze
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Presented in this study is an economic and technical evaluation to determine the optimal system combination for off-grid power generation based on solar, wind, and biodiesel renewable energy resource. Nsukka being endowed with high-intensity solar radiation, adequate wind speed, and sufficient bioresource is a prospective candidate for a hybrid system. The monthly average daily global radiation ranges from 3.91 kWh/m2 to 5.74 kWh/m2 and the average wind speed is about 2.64 m/s. This system was designed to meet the load requirement of the school with annual electrical demand of 10,163 MWh. Sensitivity analysis was carried out based on the effect of changes in biodiesel fuel price and interest rates on the economic performance criteria of the optimal configuration. The optimum hybrid system is composed of a 1 kW capacity PV system, an auto-sized biodiesel generator, and a battery bank of 820 h of autonomy. The levelized cost of energy from the optimal system was found to be $0.0898 per kWh based on sensitivity results. These results obtained show that an integrated system with the combination of PV, biodiesel generator, and battery bank is a cost-effective alternative to grid extension which cost $0.126 per kWh. The system's life span is for 25 years, and it is sustainable, economical, technically feasible, and environmentally friendly.

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.

ACTIVE POWER LOSS REDUCTION BY ENRICHED BAT ALGORITHM Kanagasabai, Lenin
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

In this work Enriched Bat Algorithm (EBA) is projected to solve optimal reactive power problem. Bat algorithm based on swarm intelligence and stimulated from the echolocation behavior of bats. In this projected algorithm the directional attribute of echolocation is applied. Progression of bats is directed by superior bats, local schedule are advanced by calculating the step sizes. Pulse emission and loudness are customized to augment the performance of the algorithm. In the Enriched Bat Algorithm (EBA) in the region of two bats when the food is definite then the present bat shift to a direction at the neighbouring neighbourhood of the two bats where the food is believed to be ample. When it is not possible then it moves toward the most excellent bat. Proposed Enriched Bat Algorithm (EBA) has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show the projected algorithm reduced the real power loss comprehensively.

Solar energy as a potential contributor to help bridge the gap between electricity supply and growing demand in Iraq: A review Sulala Al-Hamadani
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

The pivotal role of electricity is as an enabler for every other sector in any economy. Adequate electricity supply is a vital input for the economic growth and in a range of key industries. Unfortunately, the electricity sector in Iraq has been an unsustainable fiscal burden on successive Iraqi governments yet it has not been able to meet the growing demand. Iraq’s electricity sector and government’s decision makers should look for a long-term solutions and strategies to meet the current and future demand, by taking important steps towards fostering a reliable, affordable, and sustainable electricity system in the years and decades to come. Also, Iraqi government and ministry of electricity in particular should understand that electricity is basic service and right of Iraqis, and many nations have overcome this kind of problem decades ago. Overcoming this problem will help refueling Iraqi economy and enable it to stand on its feet again. Renewable energy resources, and solar in particular could be part of the solution. This paper aims to highlight the importance of solar energy in Iraq as a potential contributor to help bridge the gap between electricity supply and growing demand. Also, it discusses the solar energy opportunities with challenges facing other renewable energy sources in Iraq.

A 3-dimensional fast machine learning algorithm for mobile unmanned aerial vehicle base stations Wasswa Shafik; S. Motjaba Matinkhah; Solagbade Saheed Afolabi; Mamman Nur Sanda
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

The 5G technology is predicted to achieve the unoptimized millimeter Wave (mmWave) of 30 to 300 GHz bands. This unoptimized band is because of the loss of mm-Wave bands, like path attenuation and propagation losses. Nonetheless, because: (i) Directional transmission paving way for beamforming to recompense for the path attenuation; and (ii) Sophisticated placement concreteness of the base stations (BS) is the best alternative for array wireless communications in mmWave bands (that is to say 100 to 150 m). The advance in technology and innovation of unmanned aerial vehicles (UAVs) necessitates many opportunities and uncertainties. UAVs are agile and can ﬂy all complexities of the terrains making ground robots unsuitable. The UAV may be managed either independently aboard computers or through distance controlled by a flight attendant on pulverized wireless communication links in our case 5G. Although a fast algorithm solved the problematic aspect of beam selection for 2-dimensional scenarios. This paper presents 3-dimensional scenarios for UAVs. We modeled beam selection with environmental responsiveness in millimeter Wave UAV to accomplish close optimum assessments on a regular period through learning from the available situation.

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