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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : http://doi.org/10.11591/ijaas
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 683 Documents
By Using Model Shift and Improving The Walking Facilities: A Case Study In Kuala Lumpur, Malaysia Ali A Mohammed
International Journal of Advances in Applied Sciences Vol 3, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (196.758 KB) | DOI: 10.11591/ijaas.v3.i4.pp184-195

Abstract

The recent increase in privately owned vehicles has caused numerous problems: traffic congestions, unnecessary fuel lost and global warming are only few of these problems. This study will try to understand people’s behavior and modal choice and try to sway them to means of public transportation. A survey of mode choice between cars users in a neighborhood in Kuala Lumpur was conducted. A total of 25 surveys were collected over the course of a month. Among data collected were demographic details such as age, gender, educational level and travel behavior. The data was processed by SPSS software to determine which factors encourages and discourages using private, public transportation or walking. The study highlighted four models travel time reduction, travel cost reduction, and increase the parking charges and improves the walking facility. The sensitivity analysis results show that the main attraction that might switch private car users is travel time and improving the walking facility. The consequences of these would be less traffic on the roads contributing to less pollution and greater safety.
High impedance fault detection in distribution system Kavaskar Sekar; Nalin Kant Mohanty
International Journal of Advances in Applied Sciences Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1490.112 KB) | DOI: 10.11591/ijaas.v8.i2.pp95-102

Abstract

High impedance faults (HIFs) present a huge complexity of identification in an electric power distribution network (EPDN) due to their characteristics. Further, the growth of non-linear load adds complexity in HIF detection. One primary challenge of power system engineers is to reliably detect and discriminate HIFs from normal distribution system load and other switching transient disturbances. In this study, a novel HIF detection method is proposed based on the simulation of an accurate model of an actual EPDN study with real data. The proposed method uses current signal alone and does not require voltage signal. Wavelet transform (WT) is used for signal decomposition to extract statistical features and classification of HIF into Non-HIF (NHIF) by Neural Networks (NNs). The simulation study of the proposed method provides good, consistent and powerful protection for HIF.
An immune memory and negative selection to visualizing clinical pathways from electronic health record data Mouna Berquedich; Oulaid Kamach; Malek Masmoudi; Laurent Deshayes
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (865.779 KB) | DOI: 10.11591/ijaas.v9.i1.pp43-50

Abstract

Clinical pathways indicate the applicable treatment order of interventions. In this paper we propose a data-driven methodology to extract common clinical pathways from patient-centric Electronic Health Record data (EHR). The analysis of patient's, can lead to better regarding pathologies. The proposed algorithmic methodology consists to designing a system of control and analysis of patient records based on an analogy between the elements of the new EHRs and the biological immune systems. The detection of patient profiles ensured by biclustering Matrix. We rely on biological immunity to develop a set of models for structuring knowledge extracted from EHR and to make pathway analysis decisions. A specific analysis of the functional data leds to the detection of several types of patients who share the same EHR information. This methodology demonstrates its ability to simultaneously processing data, and is able to providing information for understanding and identifying the path of patients as well as predicting the path of future patients.
A Thermally Non-equlibirium Approch for CFD Simulation of a Pulse Tube Refrigerator Sachindra Kumar Rout
International Journal of Advances in Applied Sciences Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (430.575 KB) | DOI: 10.11591/ijaas.v3.i2.pp65-69

Abstract

This paper deals with a new type of numerical computational fluid dynamic (CFD) approach of making more realistic to the porous media inside the regenerator of a pulse tube refrigerator. The available commercial software package FLUENT for solving Computational fluid dynamics (CFD) has capable of define a porous media and solve the governing equation for this region. But one problem arises is that inside the porous media region the software  consider the fluid medium temperature and solid matrix medium temperature remains same in any spatial location which is impractical in real case. So to avoid this impractical situation we made attempt to make a non-thermally equilibrium medium inside the regenerator by putting a solid inside the regenerator, a size equal with solid matrix and added the source  term to the fluid and solid of the regenerator by user define functions (UDF). In this analysis we used inertance tube pulse tube refrigerator (ITPTR) and helium is the working fluid.
Congestion Aware Multi-Path Routing Protocol with Load Balancing K.Sangeetha Supriya; M.Gopi Chand; K.Raja Sekhar
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.846 KB) | DOI: 10.11591/ijaas.v6.i1.pp6-11

Abstract

The multi-path routing protocol is one of the approaches used to have less overhead, better bandwidth cost through the load distribution among a set of paths. However, due to the interference of the paths during the communication, it increases the end to end delay and do not work well under a highly congested network. We have proposed the congestion aware multi-path routing protocol with load balancing. The paper explains the problem associated with the end-to-end delay. It deals with the problem of channel interference during the Multi-path communication. It suggests the congestion control mechanisms to improve the protocol performance. It proposes an additive increase/ multiplicative decrease and fast retransmits and recovery process and also it suggest the algorithm for load balancing scheme. In order to minimize the congestion formation, it selects the node disjoint paths for communication. The correlation factor among the selected multiple paths are calculated. It calculates the congestion formation in the network. It compares the proposed MPR protocol with ordinary DSR through the simulation and the simulation results are discussed.
Can the Number of Correlation Coefficient (R Value) as a Statistical Indicator of Metal-Polluted Ecosystem? A Comparison between Polluted and Unpolluted Ecosystems C. K. Yap
International Journal of Advances in Applied Sciences Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (71.776 KB) | DOI: 10.11591/ijaas.v2.i4.pp209-216

Abstract

The present paper is the first in the literature to present evidence that correlation coefficient (r value) can be used as a potential indicator of metal-polluted sediments collected from polluted and unpolluted ecosystems which were also supported by a few reported studies. Based on the correlation analysis on the heavy metals in the surface sediments, collected from two contrasting ecosystems, polluted and unpolluted areas, it was evidently found that the polluted ecosystems had higher numbers of significant correlation coefficients (P< 0.05) than the unpolluted ones. This could be due to the fact that the polluted ecosystems had wider ranges of values of heavy metal concentrations due to some elevated levels of metals recorded. Therefore, the correlation coefficients (r values) can be used as potential indicators for the polluted ecosystems. However, cautions should be exercised in which the monitoring studies should be able to truly reflect the overall environmental quality of the ecosystem, ranging from effluent-receiving point sources to the clean sites far away from the sources. However, further investigations are still necessary before number of significant r values can be confidently employed as indicator of metal-polluted ecosystem.
A Review on Energy Policies and Scenario in India Shweta Goyal; Sachin Mishra; Anamika Bhatia
International Journal of Advances in Applied Sciences Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (303.788 KB) | DOI: 10.11591/ijaas.v6.i2.pp156-161

Abstract

Now a day’s Energy plays a vital role in every sector like agriculture, industry, transport, commercial and domestic. Energy is the primary key for development of the country. Only two types are sources for energy generations are presents that are Non Renewable and Renewable Sources. But due to climate change and fossil fuel depletion renewable sources are becoming major reason for focusing for energy generation. Renewable Energy (RE) generation is useful to decrease pollution, global warming etc. Although the high cost of the renewable energy generation is the main barrier in this field but there are many schemes which plays a very important role in this field. These policies encourage the consumer to used renewable sources for energy. This paper introduces the main energy challenges in India and different types of energy policies existing to overcome that challenges. What the institutional programs presenting in India for energy policies are.
On Stereographic Lognormal Distribution S.V.S. Girija; A.V. Dattatreya Rao; Phani Yedlapalli
International Journal of Advances in Applied Sciences Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (165.62 KB) | DOI: 10.11591/ijaas.v2.i3.pp125-132

Abstract

Circular data arise in various walks of life, where we consider the unit circle to be the sample space. Minh &Farnum (2003) developed that Mobius transformation or Stereographic projection is applied to generate probability distributions on real line. We derive an asymmetric distribution called Stereographic Lognormal distribution to model circular data with an emphasis on the Inverse Stereographic Projection. The graphs of probability density function, cumulative distribution function and characteristic function are drawn. Since Stereographic Lognormal distribution is an asymmetric, a complex-valued characteristic function is derived and population characteristics are also studied. Goodness of fit is verified for the data Set of cross – bed azimuths of palaeocurrents of size 40 which contains angular data.
Review of Machine Vision Based Insulator Inspection Systems for Overhead Power Distribution System P. Surya Prasad; B. Prabhakara Rao
International Journal of Advances in Applied Sciences Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (473.186 KB) | DOI: 10.11591/ijaas.v6.i4.pp303-312

Abstract

The necessity to have reliable and quality power distribution is increasing, and hence there is great scope for research on automation of distribution system. There are signs of increased research in the work on condition monitoring of insulators during the last few decades. The possible failures can be predicted before they actually occur by using the condition monitoring of cables or any electrical equipment on-line. Those assets such as towers, conductors and insulators which are on the threshold of failure have to be replaced or repaired, so that forced outages reduce. Traditionally the workers who inspect these lines check them in close proximity by going for foot-patrolling and pole-climbing. With an incredible expansion of power distribution network even to remote areas, previously mentioned methods do not seem to be viable. In developed countries aerial patrolling has been adopted to monitor the insulators as an alternative. The development of an efficient method of condition monitoring by using image processing followed by machine learning techniques is found to be a suitable method and thus emerging as a feasible option for real-time implementation. This review paper covers overall aspects of automatic detection of defects of insulator systems of electric power lines and classification into different classes by using vision-based techniques.
A Coupling Method of Homotopy Technique and Laplace Transform for Nonlinear Fractional Differential Equations Esmail Hesameddini; Mohsen Riahi; Habibolla Latifizadeh
International Journal of Advances in Applied Sciences Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (917.048 KB) | DOI: 10.11591/ijaas.v1.i4.pp159-170

Abstract

In this work, the solutions of the fractional Sharma-Tasso-Olver (FSTO) and Fisher differential equations were investigated. The present study proposed a new novel and simple analytical method to obtain the solutions of FSTO and Fisher differential equations. Whereas, for nonlinear equations in general, no method is exists which yields to exact solution and therefore only approximate analytical solutions can be derived by using procedures such as linearization or perturbation. This method is combined form of the Laplace transformation and the Homotopy perturbation method. Advantage of the Laplace Homotopy Method (LHM), are simplicity of the computations, and non-requirement of linearization or smallness assumptions. For more illustration of the efficiency and reliability of LHM, some numerical results are depicted in different schemes and tables. Numerical results showed that the LHM was partly economical, efficient and precise to obtain the solution of nonlinear fractional differential equations.

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