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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.

Arjuna Subject : -

Articles 635 Documents

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Effect of chemical reaction on MHD flow with heat and mass transfer past a vertical porousplate in the presence of viscous dissipation Satyabrat Kar; N. Senapati; B. K. Swain
International Journal of Advances in Applied Sciences Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

An attempt is made to study an unsteady MHD free convective flow with heat and mass transfer past a semi-infinite vertical porous plate immersed in a porous medium. Presence of viscous dissipation and chemical reaction are taken into account. It is assumed that the plate is moved with uniform velocity in the direction of fluid flow. Viscous dissipation term leads nonlinearity in the governing equations. Applying perturbation technique, the solutions for velocity, temperature and concentration are obtained. The effect of various parameters such as Rc, Gr, Gc, Sc etc. on velocity, temperature and concentration are shown through graphs.

A study secure multi authentication based data classification model in cloud based system Sakshi Kaushal; Bala Buksh
International Journal of Advances in Applied Sciences Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Cloud computing is the most popular term among enterprises and news. The concepts come true because of fast internet bandwidth and advanced cooperation technology. Resources on the cloud can be accessed through internet without self built infrastructure. Cloud computing is effectively manage the security in the cloud applications. Data classification is a machine learning technique used to predict the class of the unclassified data. Data mining uses different tools to know the unknown, valid patterns and relationships in the dataset. These tools are mathematical algorithms, statistical models and Machine Learning (ML) algorithms. In this paper author uses improved Bayesian technique to classify the data and encrypt the sensitive data using hybrid stagnography. The encrypted and non encrypted sensitive data is sent to cloud environment and evaluate the parameters with different encryption algorithms.

The Effects of Stacking Sequence Layers of Hybrid Composite Materials in Energy Absorption under the High Velocity Ballistic Impact Conditions – An Experimental Investigation Elias Randjbaran
International Journal of Advances in Applied Sciences Vol 3, No 3: September 2014
Publisher : Institute of Advanced Engineering and Science

In the current study, the effects of stacking sequence layers of hybrid composite materials on ballistic energy absorption, which were fabricated from Kevlar, carbon, glass fibres and resin have been experimentally investigated at the high velocity ballistic impact conditions. All the samples have equal mass, shape and density, but they have different stacking sequence layers. After running the ballistic test in the same conditions, the final velocities of the bullets showed that how much energy absorbed by the samples. The energy absorption of each sample through the ballistic impact has been calculated, accordingly , the decent ballistic impact resistance materials could be found by conducting the test. This paper can be further studied in order to characterise the material properties.

Solar energy storage and release application of water-phase change material- (SnO2-TaC) and (SnO2–SiC) nanoparticles system Farhan Lafta Rashid; Aseel Hadi; Ammar Ali Abid; Ahmed Hashim
International Journal of Advances in Applied Sciences Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

The thermal energy storage and release application of water- phase change material- (SnO2-TaC) and (SnO2–SiC) nanoparticles system has been investigated for cooling and heating applications. The water - polyethylene glycolwith (SnO2-TaC) and (SnO2–SiC) nanoparticles have been used. The results showed that the melting and solidification times for storage and release of thermal energy of water - polyethylene glycoldecrease with increase in(SnO2-TaC) and (SnO2–SiC) nanoparticles concentrations. The melting and solidification times decrease with increasing of TaC nanoparticles concentrations to water-polyethylene glycol/SnO2nanofluidand SiC nanoparticles concentrations to water-polyethylene glycol/SnO2nanofluid.

Building Information Modelling Penetration Factors in Malaysia W. I. Enegbuma; Y. A. Dodo; K. N. Ali
International Journal of Advances in Applied Sciences Vol 3, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science

The construction industry master plan in Malaysia provides ample leverage towards information technology improvements in the construction industry. Building Information Modelling (BIM) transforms the means to which the traditionally thought method is construction is carried out. Changes occur in aspects of people, process and technology during such transformation. Information technology (IT) acceptance theories of Theory of Reasoned Action (TRA), Technology Acceptance Model (TAM), Theory of Planned Behaviour (TPB), Innovation Diffusion Theory (IDT), Decomposed Theory of Planned Behaviour (DTPB), Extension of Technology Acceptance Model (TAM2) and Unified Theory of Acceptance and Use of Technology stipulates underlining theories to accessing user perception to new systems such as BIM. This paper presents the linking paths to factors of user perceptions (people, process and technology) and how they react in strategic IT implementation and collaborative environment to fully support extensive BIM penetration in the industry. The study further extends the BIM penetration model by Enegbuma and Ali (2012). The model will aid industry practitioners to tackle the various challenges experienced with BIM implementation. Future research will focus on solidifying the proposal with data analysis.

Heavy Metal Uptake of Corn Irrigated with Human Urine Horacio Sabejon Factura
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Pit latrine (PL) is one of the most common disposal systems for human excreta in low-income countries but because it is a hole in the ground, infiltration of liquid effluent into the soil can continuously occur. Poor sanitation systems permit the spread of heavy metals in urine to water bodies especially the groundwater. This study investigated the accumulation of heavy metals in shoots of corn plants irrigated with urine. A pot experiment with corn was conducted under greenhouse conditions. Urine was diluted to 3:1 ratio (water and urine respectively) and was compared to control (water only). Using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), heavy metals such as Boron, Barium, Cobalt, Copper, Iron, Manganese, Nickel, Silicon, Strontium and Zinc were detected in shoots of all plants with contents ranging from 0.22 to 2,487.44 milligram (mg) per kilogram (kg). The higher amounts detected in urine irrigated plants than the control proved the presence of the metals in the urine. Reuse of urine will definitely benefit farmers while at the same time reduce the risk of heavy metal contamination in groundwater.

Study on Phosphate Solubilization of Salt Tolerant Soil Yeast Isolates and Effects on Maize Germination and Growth May Thet New; San San Yu; Zaw Ko Latt
International Journal of Advances in Applied Sciences Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Among 12 isolated soil yeasts, four isolates were selected according to their salt tolerance and these four isolates tolerated 14% NaCl. Moreover, they can tolerant to KCl, MgCl2 and CaCl2. Phosphate solubilization of selected soil yeast isolates were detected in Pikovskaya’s broth supplemented with various NaCl concentrations (ranging from 0% to 10%). They can solubilize insoluble phosphate at all NaCl concentrations. But with increasing NaCl concentration, phosphate solubilization was decreased and the best solubilization was occurred at 6 days incubation period. Above 10% NaCl concentration, these isolates cannot solubilize insoluble phosphate, Ca3(PO4)2. On maize germination under NaCl stressed conditions, it was found that soil yeast isolates enhanced maize germination when compared with uninoculated treatment. Above 0.5% NaCl concentration, germination percentage of maize was obviously different between inoculated and uninoculated treatments. Like in phosphate solubilization, germination percentage was decreased with increasing NaCl concentration. At 2% NaCl concentration, germination was not found. So these isolates tolerated to some degree of NaCl, there is limited range for their functioning. After treating salt affected soils with soil yeast isolates for four weeks, salinity of treated soils was slightly decreased but total nitrogen content, K+, and available nutrients (P and K2O) were slightly increased when compared with those of untreated soil.

Water Pumping Using Solar Energy Mehimmedetsi Boujemaa; Chenni Rachid
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

This article defines a simulation model of a simple system based essentially solar pumping of a photovoltaic generator and a DC motor with permanent magnet type of load as the centrifugal pump, in order to optimized the whole system it is necessary introduce a boost converter

Dispersion of Thermo Elastic Waves in a Rotating Cylindrical Panel Rajendran Selvamani; P. Ponnusamy
International Journal of Advances in Applied Sciences Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

The three dimensional dispersion of thermo elastic waves in a homogeneous isotropic rotating cylindrical panel is investigated in the context of the linear theory of thermo elasticity. Three displacement potential functions are introduced to uncouple the equations of motion. The frequency equations are obtained using the traction free boundary conditions. The Bessel function with complex argument is directly used to analyze the frequency equations. The analysis of thermally induced vibration of rotating cylindrical panel is common place in the design of structures, atomic reactors, steam turbines, supersonic aircraft, and other devices operating at elevated temperature. In order to illustrate theoretical development, numerical solutions are obtained and presented graphically for a zinc material .To compare the model with the exiting literature, the non dimensional frequencies for different thickness to inner radius ratio are computed and they show very good agreement.

Feature Selection Using Evolutionary Functional Link Neural Network for Classification Amaresh Sahu; Sabyasachi Pattnaik
International Journal of Advances in Applied Sciences Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

Computational time is high for Multilayer perceptron (MLP) trained with back propagation learning algorithm (BP) also the complexity of the network increases with the number of layers and number of nodes in layers. In contrast to MLP, functional link artificial neural network (FLANN) has less architectural complexity, easier to train, and gives better result in the classification problems. The paper proposed an evolutionary functional link artificial neural network (EFLANN) using genetic algorithm (GA) by eliminating features having little or no predictive information. Particle swarm optimization (PSO) is used as learning tool for solving the problem of classification in data mining. EFLANN overcomes the non-linearity nature of problems by using the functionally expanded selected features, which is commonly encountered in single layer neural networks. The model is empirically compared to MLP, FLANN gradient descent learning algorithm, Radial Basis Function (RBF) and Hybrid Functional Link Neural Network (HFLANN) . The results proved that the proposed model outperforms the other models.

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