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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 477 Documents

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Hybrid Photovoltaic and Wind Power System with Battery Management System using Fuzzy Logic Controller M. Venkateshkumar; R. Raghavan
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

In recent year, the development of hybrid renewable energy sources has the important role of power generation. This paper focused on design of hybrid PV / Wind power system and its battery management system. The fuzzy logic control based battery management system has been designed for effective power utilization. The proposed control to operate the battery charging and discharging mode during non-linear power generation. The battery will charge whenever the renewable energy power is greater than to consumer load power as well as the battery will discharge whenever the renewable energy power is lesser than to consumer load power. The proposed model will be simulated using Matlab environment and analysis the proposed system results. Finally, simulation results are evaluated and validating the effectiveness of the proposed controller.

Characterization of Soil Quality in Erosion Prone Environment of Ukpor, Nnewi-South L.G.A. of Anambra State, Nigeria Ubuoh Emmanuel Attah; Akhionbare W. N; Oweremadu E.; Onifade O.A
International Journal of Advances in Applied Sciences Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

The study was conducted at Nnewi –South of Anambra State, Nigeria to characterize soil in erosion prone area in order to know nutritional values of the soil to enable farmers employ appropriate measures to conserving the soils for high productivity. Soil auger studies were made at three locations where traverse was cut.Three profile pits designated ECH/UK/ 01 (upper slope) , ECH/UK/ 02 (middle slope ) and ECH/UK/ 03 (lower slope) were sited and samples of soils were taken to test for physico-chemical properties of the soils. The results revealed that the soils are deep, well drained , dark reddish brown to reddish brown, and yellowish red of the Munsell color notation. The soil texture in the three pedons have coarse texture that ranged from sandy clay loam to sandy loam, with high percentage of sand which is the reflection of the parent material. The bulk density ranged between between 1.50 – 1.80 g/cm3,, soil pH (3.33 – 4.09) indicating very strong acidity status, O.C.(0.28 – 0.89%), O.M (0.48- 1.54%), total N ( 0.042 – 0.98%), Available P ( 2.80 – 11.00 mg.kg-1), Na+( 0.113 – 270cmol.kg-1), K+(0.036 – 0.087 cmol.kg-1), Mg++(0.80-5.60 cmol.kg-1), Ca++(0.42 – 10.40 cmol.kg-1), EA (0.24 -1.28 cmol.kg-1) CEC( 3.104 – 16.966 cmol.kg-1), and BS ( 80.28 – 96.06%) indicating low fertility rate of the soil due to heavy leaching and intensive agricultural activities that leads to erosion of the soil to devastating stage, which could be restored by reforestation programme, integrated Nutrient Management Options, and Effective public enlightenment campaign about the advantages of soil conservation for environmental sustainability.

A Novel Handoff Necessity Estimation Approach Based on Travelling Distance Jyoti Madaan; Indu Kashyap
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Mobility management is one of the most important challenges in Next Generation Wireless Networks (NGWNs) as it enables users to move across geographic boundaries of wireless networks. Nowadays, mobile communications have heterogeneous wireless networks offering variable coverage and Quality of Service (QoS). The availability of alternatives generates a problem of occurrence of unnecessary handoff that results in wastage of network resources. To avoid this, an efficient algorithm needs to be developed to minimize the unnecessary handoffs. Conventionally, whenever Wireless Local Area Network (WLAN) connectivity is available, the mobile node switch from cellular network to wireless local area network to gain maximum use of high bandwidth and low cost of wireless local area network as much as possible. But to maintain call quality and minimum number of call failure, a considerable proportion of these handovers should be determined. Our algorithm makes the handoff to wireless local area network only when the Predicted Received Signal Strength (PRSS) falls below a threshold value and travelling distance inside the wireless local area network is larger than a threshold distance.Through MATLAB simulation, we show that our algorithm is able to improve handover performance.

Feasibility Analysis of Transport Demand Management Policies through a Bottom-Up Planning Approach Ali Soltani; Andrew Allan
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

In order to reduce traffic congestion and the associated problems, various policies have been put forward so far. In this way, it is believed that Transport Demand Management (TDM) offers an effective and economical solution. Since most TDM policies have both positive and negative impacts, public participation is, therefore, an efficient way to achieve better results. This paper attempts to evaluate a set of TDM policies and define their priorities through a Bottom-up Planning (BUP) approach for the metropolitan Shiraz, Iran. In this way, the possibility of developing common principles via the investigation of shared goals within an integrated framework for urban transport policies that are desired for sustainable transport is evaluated. The framework method was utilized through a BUP expert consultation process. A number of experts (n=21) were asked to prioritize the components of each policy package. A set of policy measures as solutions to traffic congestion was provided in three different categories: sustainable transport approach, engineering approach, and traffic restraint approach. Each category included 10 measures which were suggested after a primary survey on the metropolitan's traffic problems. These measures were weighted and rated using the Analytical Hierarchal Process (AHP) technique. Then the Weighted Scoring Method was applied to find performance priorities. Public bus and bicycle infrastructure development were found to be the two most favorite policies. In total, sustainable transport solutions were the most preferred policies in the bottom-up stages. The findings can contribute some insights to future transport planning in order to provide more opportunities for community involvement in planning processes.

Data Visualization and Analysis of Engineering Educational Statistics Siddhaling Urolagin; Ishita Upadhyaya; Afrah Abbas Thakur
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Engineering, is one of the most popular fields of higher education in the modern day woreld. Majority of the students these days opt for engineering as a career, due to the vastness of choices provided by engineering. Mechanical, Electrical, Computer Science, Civil and Biotechnology are the various disciplines and have varying strength in terms of number of students who join a particular discipline. In this research, we have gather data from various published articles about engineering education and carried out the data visualization and analysis using Tableau 9.2. The objective of the analysis is to help the students to make the decision and the choice about discipline of engineering from which particular university would be the most suitable based on the data collected and represented. Various categories of statistics such as number of graduates from a particular university in a particular discipline, and which university had the maximum number of graduates in a certain year will help the students make their decisions about their future in a more easy and a sorted manner.

Theory and development of magnetic flux leakage sensor for flaws detection: A review Nor Afandi Sharif; Rizauddin Ramli; Abdullah Zawawi Mohamed; Mohd Zaki Nuawi
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

This paper presents a review of state-of-art in the Magnetic Flux Leakage (MFL) sensor technology, which plays an important role in Nondestructive Testing (NDT) to detect crack and corrosion in ferromagnetic material. The demand of more reliable MFL tools and signal acquisition increase as it has a direct impact on structure integrity and can lead to be major catastrophic upon questionable signal analysis. This is because the size, cost, efficiency, and reliability of the extensive MFL system for NDT applications primarily depend on signal acquisition as a qualitative measure in producing a trustworthy analysis. Therefore, the selection of appropriate tools and methodology plays a major role in determining the comprehensive performance of the system. This paper also reviews an Artificial Neural Network (ANN) and Finite Element Method (FEM) in developing an optimum permeability standard on the test piece.

Commodity Price Data Analysis Using Web Scraping M. Kameswara Rao; Rohit Lagisetty; M.S.V.K. Maniraj; K.N.S. Dattu; B. Sneha Ganga
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

Today, analysis of data which is available on the web has become more popular, by using such data we are capable to solve many issues. Our project deals with the analysis of commodity price data available on the web. In general, commodity price data analysis is performed to know inflation rate prevailing in the country and also to know cost price index (CPI). Presently in some countries this analysis is done manually by collecting data from different cities, then calculate inflation and CPI using some predefined formulae. To make this entire process automatic we are developing this project. Now a day’s most of the customers are depending on online websites for their day to day purchases. This is the reason we are implementing a system to collect the data available in various e-commerce sites for commodity price analysis. Here, we are going to introduce a data scraping technique which enables us to collect data of various products available online and then store it in a database there after we perform analysis on them. By this process we can reduce the burden of collecting data manually by reaching various cities. The system consists of web module which perform analysis and visualization of data available in the database.

Using FPGA Design and HIL Algorithm Simulation to Control Visual Servoing Lway Faisal Abdulrazak; Zaid A. Aljawary
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

This is a novel research paper provides an optimal solution for object tracking using visual servoing control system with programmable gate array technology to realize the visual controller. The controller takes in account the robot dynamics to generate the joint torques directly for performing the tasks related to object tracking using visual servoing. Also, the notion of dynamic perceptibility provides the capability of the designed system to track desired objects employing direct visual servoing technique. This idea is assimilated in the suggested controller and realized in the programmable gate array. Additionally, this paper grants an ideal control framework for direct visual servoing robots that incorporates dynamic perceptibility features. With the aim of evaluating the proposed FPGA based architecture, the control algorithm is applied to Hardware-in-the-loop simulation (HIL) set up of three degrees of freedom rigid robotic manipulator with three links. Furthermore, different investigations are performed to demonstrate the behavior of the proposed system when a trajectory adjacent to a singularity is attained.

Optimization of transmission signal by artificial intelligent Hassan Farahan Rashag; Mohammed H. Ali
International Journal of Advances in Applied Sciences Vol 8, No 4: December 2019
Publisher : Institute of Advanced Engineering and Science

In this method, radial basis function network RBFNN is an artificial intelligent which is used to identify and classify the communication system performance. RBFNN is one type of neural network which has activation functions. It consists of three layer input layer, hidden layer and output linear combination. One of the main problems of communication system is that it causes slow response for sending signal via the transmission devices. Therefore, the artificial intelligent by RBFNN is used to optimize the transmission signal. The input signal is trained and testing by neurons with weight and this lead to provide linear output. The simulation results have the optimization specifics over the traditional communication transmission devices.

Reliability and Availability Analysis of Arepairable System With Two Types of Failure M. A. El-Damcese; M. S. Shama
International Journal of Advances in Applied Sciences Vol 4, No 1: March 2015
Publisher : Institute of Advanced Engineering and Science

This paper investigates reliability and availability of a repairable system with two types of failure. Let failure rate and repair rate of [type1, type2] components are assumed to be exponentially distributed. The expressions of availability and reliability characteristics such as the system reliability and the mean time to failure are derived. We used several cases to analyze graphically the effect of various system parameters on the reliability system and availability system.

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