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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 680 Documents
Investigation of Neem Fatty Acid Ethyl Ester for Electric Power Generation G. Vijaya Gowri; M. Kannan; A. Murugesan
International Journal of Advances in Applied Sciences Vol 4, No 2: June 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (405.789 KB) | DOI: 10.11591/ijaas.v4.i2.pp59-65

Abstract

Producing an efficient alternative renewable fuel for power generation is the solution for today’s power crisis. As the oil prices are increasing day- by- day and the fossil fuels are depleting, why to rely on the fossil fuels for energy?. One of the alternative fuels is bio-fuel which can be obtained from sewage, garbage and waste vegetable oils which would otherwise be difficult to dispose leading to pollution. Biodiesel is a substitute for petroleum-based diesel which is derived from vegetable oils by the process of trans-esterification. Biodiesel is prevalently used as automobile fuel. Ethyl esters produced by trans-esterification can be used for rural electrification. In this paper, the electrified quality output obtained using different blends of ethyl ester with diesel and the efficiencies for each blend and pure diesel are studied and the results show that power generation using ethyl ester for rural population will be efficient, reliable and economical.
A categorical data analysis of impact of biogas on women of rural households – with examples from Nepal Jyoti U. Devkota
International Journal of Advances in Applied Sciences Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (948.737 KB) | DOI: 10.11591/ijaas.v8.i1.pp34-43

Abstract

This paper is based on primary data collected from 400 households of biogas consumers. A detailed structured questionnaire was developed and pretested. Here response to each question was given as a multiple choice option resulting in more than 450 categorical data. These variables studied various aspects of households using biogas. The results focused on women of these households. Interrelationships between several other variables including the role of a woman in various decisions related to the plant were analyzed. Logistic regression of decision making of woman on several variables including asset index of the family was done. This asset index was calculated from the principle component analysis of socio-economic variables. The family dynamics in the choice of biogas as renewable energy source was quantified using odds ratio and regression coefficients. The interdependence between variables was tested using Chi square test of Independence of Attributes. A novel data based approach of generation and analysis of categorical data is demonstrated here. The suitability of generation of categorical data in the absence of accurate measurement instruments is highlighted. This method is also suitable for countries without a strong backbone of good quality official records, and provides a good backup data for official statistics.
Two bio-inspired algorithms for solving optimal reactive power problem Lenin Kanagasabai
International Journal of Advances in Applied Sciences Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (479.573 KB) | DOI: 10.11591/ijaas.v9.i3.pp180-185

Abstract

In this work two ground-breaking algorithms called; Sperm Motility (SM) algorithm & Wolf Optimization (WO) algorithm is used for solving reactive power problem. In sperm motility approach spontaneous movement of the sperm is imitated & species chemo attractant, sperms are enthralled in the direction of the ovum. In wolf optimization algorithm the deeds of wolf is imitated in the formulation & it has a flag vector also length is equivalent to the whole sum of numbers in the dataset the optimization. Both the projected algorithms have been tested in standard IEEE 57,118, 300 bus test systems. Simulated outcomes reveal about the reduction of real power loss & with variables are in the standard limits. Almost both algorithms solved the problem efficiently, yet wolf optimization has slight edge over the sperm motility algorithm in reducing the real power loss.
A Review: Management of Alternaria and its Mycotoxins in Crops Brian Gagosh Nayyar; Shaista Akhund; Abida Akram
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 (308.027 KB) | DOI: 10.11591/ijaas.v3.i4.pp165-171

Abstract

The Deuteromycetes fungal genus Alternaria comprises of different saprophytic as well as endophytic species which are very common and worldwide in their occurance. Importance host plants include several crops. Alternaria spp. generally attacks the aerial ptarts of its host and early blight diseases caused by these fungi inflict serious damage to these crops. There is a growing concern of Alternaria spp. due to their ability to produce mycotoxins with different toxicological properties, which are harmful for human and animal health. Accurate identification of Alternaria spp. and their metabolites is a crucial phase in the implementation of preventive measures and controls in the system from farm to fork. Considering the importance of Alternaria spp. occurance on crops and Alternaria toxins risk assesment, additional studies in this area are indispensable.
Subsynchronous resonance oscillations mitigation via fuzzy controlled novel braking resistor model Mohamed Fayez; M. Mandour; M. El-Hadidy; F. Bendary
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 (1647.77 KB) | DOI: 10.11591/ijaas.v8.i2.pp164-170

Abstract

Subsynchronous resonance (SSR) torsional torque oscillations is a problem of a great concern in the power engineering community. SSR causes torsional torque oscillations with ever-increasing magnitudes occurring in the machine shaft sections causing a premature fatigue life expenditure of the shaft metal. In this paper, dynamic braking switching strategy designed through fuzzy logic control theory and implemented via novel braking resistor model, namely chopper rectifier controlled braking resistor for tempering SSR torsional torque oscillations of a large turbo-generator. The proposed mitigation scheme has been tested on the IEEE second benchmark model for SSR studies. Comparative simulation study via MATLAB/Simulink-based modeling and simulation environment of the test model with and without the suggested mitigation regime should demonstrate its effectuality for mitigation of SSR torsional torque oscillations.
Method for cost-effective trans aortic valve replacement device prototyping Angelique Oncale; Charles Taylor; Erika Louvier; G. H. Massiha
International Journal of Advances in Applied Sciences Vol 9, No 3: September 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1296.872 KB) | DOI: 10.11591/ijaas.v9.i3.pp220-226

Abstract

Trans Aortic Valve Replacement (TAVR) has offered the cardiology sector of health a new alternative to open heart surgeries which treat aortic stenosis. The technologies used by TAVR manufacturers are kept private. Our research goal was to develop a process that allows college level laboratories to fabricate their own TAVR stents in order to research new designs and methods of fabrication which may improve current TAVR practices. By creating a solid model of a stent cell design in SolidWorks, we were able to export a cutting pattern we used with a waterjet. The stent frame was then hand polished to prepare for fabric skirting and leaflet attachment. Synthetic ripstop fabric was cut using a commercial fabric cutting machine and attached to the frame using a waterproof glue. Future research entails welding techniques, improved polishing methods, and implantation into a mechanical system. This prototype could be used for TAVR related research and surgical training simulations.
Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data Sangeetha G; L. Manjunatha Rao
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 (802.97 KB) | DOI: 10.11591/ijaas.v6.i1.pp32-41

Abstract

With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms. Right from entrepreneur, players, politicians, students, or anyone who are highly depending on web-based grievance redressal networking sites, which generates loads of massive grievance data that are not only challenging but also highly impossible to understand. The prime reason behind this is grievance data is massive in size and they are highly unstructured. Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms. Designed in Java considering massive number of online e-governance framework from civilian’s grievance discussion forums, the proposed system evaluates the effectiveness of performing datamining for Big data.
The Preprocessing and Probing Technique of Open Capacitated Vehicle Routing Problem with Split and Time Deadline (OCVRP-St) Model In Rubbish Transportation Problem Irmeilyana Irmeilyana; Fitri Maya Puspita; Indrawati Indrawati; Fitra Nur Azizah
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 (231.254 KB) | DOI: 10.11591/ijaas.v2.i4.pp193-200

Abstract

The activity of rubbish transportation in Palembang is one of the applications of Vehicle Routing Problem (VRP) in transporting rubbish in Sako Palembang by applying preprocessing and probing techniques to obtain simplest OCVRP model. The solution is conducted by using LINDO software. The results show that the optimal routes in Sukarami before and after applying the tehniques are the same routes. In addition, we obtain the reduction of constraints and variables, the reduction of iteration numbers and the optimal value did not change.
Identification of a Non-Linear System Using Volterra Series Model with Calculated Kernels by Legendre Orthogonal Function Vahid Mossadegh; Mahmood Ghanbari
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (501.655 KB) | DOI: 10.11591/ijaas.v6.i3.pp185-192

Abstract

Modeling and identification of non-linear systems have gained lots of attentions especially in industrial processes. Most of the actual systems have non-linear behavior and the first and simplest solution in modeling such systems is to linearize them which in most cases the result of linearization is not satisfactory. In this paper, modeling of non-linear systems is investigated using Volterra series model based on Legendre orthogonal function. Expansion of Volterra series kernels by Legendre orthogonal functions causes a reduction in the number of model parameters; hence, complexity of calculations would be decreased. Besides, if the free parameter is selected properly in these orthogonal functions, error is reduced and convergence speed of parameters is increased which leads to an increase in identification accuracy. In this paper, identification of non-linear system is presented with Volterra series expanded by Legendre function and PSO algorithm is used to calculate the optimum free parameters of Legendre function. Finally, in order to validate the efficacy and accuracy, the proposed algorithm is implemented on a non-linear system i.e. heat exchanger with actual data
Method for the Solution of Interval Systems of Linear Equations Sarangam Majumdar; S Chakraverty
International Journal of Advances in Applied Sciences Vol 2, No 2: June 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (111.188 KB) | DOI: 10.11591/ijaas.v2.i2.pp73-76

Abstract

System of linear equation (crisp) can be solved in a various way .In the real world problem parameters are in interval form .In this paper we discuss the solution of interval system of linear equations and proposed a new method for handling this type of system of linear equations. In this model we consider the coefficient matrix and the right vector as interval. Example problems are given to have the efficiency and powerfulness of the proposed method.

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