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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 18 Documents

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Search results for , issue "Vol 10, No 1: March 2021" : 18 Documents clear

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.

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.

Hydrodynamic characteristics of marine composite propeller blade using a numerical approach M. L. P. Kishore; Vijay K. Singh; R. K. Behra; Chandra S. Saran; Manikant Paswan; Kapil Kumar
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

The aim of the present research work is to investigate the hydrodynamic characteristics (pressure distribution, rotational speed, thrust, and torque) of the conventional B-series composite propeller blade. The open water efficiency for the scaled model of the composite propeller blade is computed using computational fluid dynamics (CFD) fluent simulation tool. The obtained numerical results show that the propeller will operate at optimum efficiency for the given speed condition and perform with reduced efficiency at other operational speeds. The computed responses are also validated with the standard B-series data which verifies the accuracy and robustness of the present numerical approach in analyzing the performance characteristics of propellers. The deviation in solution ranges from 5 to 15% in the case of thrust, and 10 to 20% in the case of torque. Pressure estimation is usually quite accurate with a 5 to 8% variation. The tabular data of pressure distribution over the propeller blade may be used for further structural analysis.

Effect of thiourea on structure, morphology, and optical properties of spray deposited CZTS thin films for solar cell applications Ramesh B. Mahewar; Ravikumar R. Vidule; Limbraj S. Ravangave
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Cu2ZnSnS4 (CZTS) films of different Thiourea (SC (NH2)2) molarity were deposited by using a simple chemical spray technique at substrate temperature 275 °C. Analytical reagent Grade Copper chloride (CuCl2), Zinc chloride (ZnCl2), and Tin chloride (SnCl4.5H2O) were used as Cu+, Zn+, and Sn+ ion sources respectively and thiourea (SC(NH2)2) (0.02, 0.04, 0.06, 0.08, and 0.1 M) was used as an S- ion source. A set of five CZTS films was deposited using five different molarity of thiourea. The structure, morphology, elemental analysis, and optical properties of these films were studied using X-ray diffractometer (XRD), scanning electron microscopy (SEM), energy dispersive X-ray analysis (EDX), and UV-visible spectroscopy techniques respectively. The XRD spectra showed that all films are polycrystalline tetragonal structures with preferential orientation along 112 planes. The calculated crystallite size was increased with an increase in thiourea concentration. Variations of optical band gap with thiourea molarity have been investigated using Tauc plots. SEM micrographs exhibit CZTS spherical granules regularly arranged with some void spaces. The purity of deposited films was investigated using EDX analysis. All the CZTS films exhibit a higher absorption coefficient (α>104) cm-1 and a band gap in the reported range (1.2 to 1.53 eV) can be used as an absorber layer in solar cells.

Deep learning model for glioma, meningioma, and pituitary classification Toqa A. Sadoon; Mohammed H. Ali
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

One of the common causes of death is a brain tumor. Because of the above mentioned, early detection of a brain tumor is critical for faster treatment, and therefore there are many techniques used to visualize a brain tumor. One of these techniques is magnetic resonance imaging (MRI). On the other hand, machine learning, deep learning, and convolutional neural network (CNN) are the state of art technologies in recent years used in solving many medical image-related problems such as classification. In this research, three types of brain tumors were classified using magnetic resonance imaging namely glioma, meningioma, and pituitary gland on the based of CNN. The dataset used in this work includes 233 patients for a total of 3,064 contrast-enhanced T1 images. In this paper, a comparison is presented between the presented model and other models to demonstrate the superiority of our model over the others. Moreover, the difference in outcome between pre- and post-data pre-processing and augmentation was discussed. The highest accuracy metrics extracted from confusion matrices are a precision of 99.1% for the pituitary, a sensitivity of 98.7% for glioma, a specificity of 99.1%, and an accuracy of 99.1% for the pituitary. The overall accuracy obtained is 96.1%.

Second order noise shaping for data-weighted averaging technique to improve sigma-delta DAC performance Ali Kerem Nahar; Ansam Subhi Jaddar; Hussain K. Khleaf; Mohmmed Jawad Mortada Mobarek
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

In general, the noise shaping responses, a cyclic second-order response is delivered by the method of data weighted averaging (DWA) in which the output of the digital-to-analog converter (DAC) is restricted to one of two states. DWA works efficiently for rather low levels of quantizing; it begins presenting considerable difficulties when internal levels of quantizing are extended further. Though, each added bit of internal quantizing causes an exponentially increasing in power dissipation, complexity, and size of the DWA logic and the DAC. This gives a controlled second-order response accounting for the mismatch of the elements of DAC. The multi-bit DAC is made up of numerous single-bit DACs having values thereof chosen via a digital encoder. This research presents a discussion of the influence of mismatching between unit elements of the delta-sigma DAC. This results in a constrained second-order response accounting for a mismatch of DAC elements. The results of the simulation showed how the effectiveness of the DWA method in reducing band tones. Furthermore, the DWA method has proved its efficiency in solving the mismatching of DAC unit elements. The noise of the mismatching elements is enhanced by 11 dB at 0.01 with the proposed DWA, thereby enhancing the efficiency of the DAC in comparison to the efficiency of the DAC with no use of the circuit of DWA.

Single phase seven level Z-source cascaded H-bridge inverter for photovoltaic systems K. M. Venkatachalam; V. Saravanan; M. A. K. Borelessa; K. T. M.U. Hemapala
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

The multilevel inverter (MLI) is identified as a viable power electronic unit for distributed energy conversion applications. In this paper discusses the performance of a single phase seven level Z (impedance) source cascaded H-bridge inverter topology suited for solar photovoltaic systems. A modified sinusoidal pulse width modulation technique is used to control the switches of the H-bridge inverter. The simulation results are obtained in terms of inverter output voltage and harmonic analysis confirms improvement in voltage boost and reduction in harmonic distortion of the suggested inverter topology. The experimental results match the simulation values, as verified through a scaled-down prototype.

Simulation and manufacturing of modified circular monopole microstrip antenna for UWB applications Bilal S. Taha; Hamzah M. Marhoon
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Ultra-wideband (UWB) technology is one of the most promising wireless communication solutions to be developed quickly because of the high-speed data, wide bandwidth and excellent immunity to multipath interference. In this work, the compact design of a modified circular monopole microstrip antenna is simulated and manufactured for the UWB applications. The simulation process of the proposed antenna was done based on the finite integration of the computer simulation technology (CST) microwave studio (MWS). The proposed antenna comprises a copper radiating patch, Roger’s Kappa-438 substrate, and a single stub act as a reflector. The simulation results showed a reasonable agreement with the results of the measurement and good performance was achieved in the range from 1.8 to 10 GHz with VSWR less than 2.0.

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