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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 635 Documents

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A Fuzzy Logic Based Mppt Controller For Wind-Driven Three-Phase Self-Excited Induction Generators Supplying Dc Microgrid B.Murali Mohan; M.Pala Prasad Reddy; M. Lakshminarayana
International Journal of Advances in Applied Sciences Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

In this paper, a straightforward strategy for tracking the maximum power (MP) accessible in the wind energy conversion system for dc microgrid is proposed. A three-phase diode bridge rectifier alongside a dc-dc converter has been utilized between the terminals of wind-driven induction generator and dc microgrid. Induction generator is being worked in self-energized mode with excitation capacitor at stator. The output current i.e., dc grid current act as a control variable to track the MP in the proposed WECS. In this manner, the proposed calculation for maximum power point tracking (MPPT) is autonomous of the machine and wind-turbine parameters. Further, a technique has been created for deciding the obligation proportion of the dc-dc converter for working the proposed system in MPPT condition utilizing wind turbine qualities, relentless state proportionate circuit of prompting generator and power balance in power converters. Circuit straightforwardness and basic control calculation are the significant points of interest of the proposed setup for supplying energy to the dc microgrid from WECS. The fruitful working of the proposed calculation for Fuzzy logic based MPPT has been shown with broad exploratory results alongside the simulated values.

Mathematical Modelling of Quorum Sensing and Bioluminescence in Bacteria Sarangam Majumdar; Suman Datta; Sisir Roy
International Journal of Advances in Applied Sciences Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

Different types of Quorum Sensing in Bacteria, both intra-species and inter-species, have been analyzed over the last decade. A number of Mathematical Models has been proposed to explain the process of Quorum Sensing which depends on a threshold concentration of autoinducers (or QSM) reflecting high bacterial density. Stability of the solution of the differential equations of such an intra-species model for Vibrio fischeri is discussed in this paper.

Data Partitioning in Mongo DB with Cloud Aakanksha Jumle; Swati Ahirrao
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Cloud computing offers various and useful services like IAAS, PAAS SAAS for deploying the applications at low cost. Making it available anytime anywhere with the expectation to be it scalable and consistent. One of the technique to improve the scalability is Data partitioning. The alive techniques which are used are not that capable to track the data access pattern. This paper implements the scalable workload-driven technique for polishing the scalability of web applications. The experiments are carried out over cloud using NoSQL data store MongoDB to scale out. This approach offers low response time, high throughput and less number of distributed transaction. The results of partitioning technique is conducted and evaluated using TPC-C benchmark.

Factors effect on the effective length in a double strap joint between steel plates and CFRP Majid Mohammed Ali Kadhim
International Journal of Advances in Applied Sciences Vol 1, No 1: March 2012
Publisher : Institute of Advanced Engineering and Science

This paper presents the behavior of axially loaded flat steel plates strengthened using carbon fiber reinforced polymer sheets. Two steel plates were joined together with adhesive and followed by the application of carbon fiber sheet double strap joint with different bond lengths. The effective length of CFRP sheet has been study by using commercially available finite element analysis software ANSYS V12.1. A parametric study has been performed by numerical modeling with the variables of CFRP sheet thickness, adhesive layer thickness, steel plate thickness and number of CFRP sheet layer.

Study on End-wall Slope Stability of Surface Coal Mine under the Condition of Combined Open-pit Mining with Underground Mining Peng Hongge; Cai Qingxiang; Zhou Wei; Shu Jisen
International Journal of Advances in Applied Sciences Vol 5, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

With the deepening of surface coal mine, the application of combined surface mining with underground mining is increased now. According to the influence analysis of underground mining on surface coal mine end-wall slope, the thin plate model of mined slope was proposed with distortion and stress distribution of the girder studied. Considering the practice of combined surface mining with underground mining, the modified method was put forward. Based on the roof breaking law of mined slope, the minimum width of protecting coal pillar was elicited. Subsequently this paper took the combined mining practice of Anjialing surface mine as example to study the subsidence law of roof and the influence of underground mining to surface mine slope. The research conclusion indicates that under the condition of combined mining the deformation and subsidence of overlying strata are obvious with a clear lag time, and the ceiling distortion evokes distortion of mined slope, which can be used as the theory sustainment to stabilization of mined slope under combined surface mining with underground mining.

Angular Symmetric Axis Constellation Model for off-line Odia Handwritten Characters Recognition Pyari Mohan Jena; Soumya Ranjan Nayak
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Optical character recognition is one of the emerging research topics in the field of image processing, and it has extensive area of application in pattern recognition. Odia handwritten script is the most research concern area because it has eldest and most likable language in the state of odisha, India. Odia character is a usually handwritten, which was generally occupied by scanner into machine readable form. In this regard several recognition technique have been evolved for variance kind of languages but writing pattern of odia character is just like as curve appearance; Hence it is more difficult for recognition. In this article we have presented the novel approach for Odia character recognition based on the different angle based symmetric axis feature extraction technique which gives high accuracy of recognition pattern. This empirical model generates a unique angle based boundary points on every skeletonised character images. These points are interconnected with each other in order to extract row and column symmetry axis. We extracted feature matrix having mean distance of row, mean angle of row, mean distance of column and mean angle of column from centre of the image to midpoint of the symmetric axis respectively. The system uses a 10 fold validation to the random forest (RF) classifier and SVM for feature matrix. We have considered the standard database on 200 images having each of 47 Odia character and 10 Odia numeric for simulation. As we have noted outcome of simulation of SVM and RF yields 96.3% and 98.2% accuracy rate on NIT Rourkela Odia character database and 88.9% and 93.6% from ISI Kolkata Odia numerical database.

Cache optimization cloud scheduling (COCS) algorithm based on last level caches K. Vinod Kumar; Ranvijay Ranvijay
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Recently, the utilization of cloud services like storage, various software, networking resources has extremely enhanced due to widespread demand of these cloud services all over the world. On the other hand, it requires huge amount of storage and resource management to accurately cope up with ever-increasing demand. The high demand of these cloud services can lead to high amount of energy consumption in these cloud centers. Therefore, to eliminate these drawbacks and improve energy consumption and storage enhancement in real time for cloud computing devices, we have presented Cache Optimization Cloud Scheduling (COCS) Algorithm Based on Last Level Caches to ensure high cache memory Optimization and to enhance the processing speed of I/O subsystem in a cloud computing environment which rely upon Dynamic Voltage and Frequency Scaling (DVFS). The proposed COCS technique helps to reduce last level cache failures and the latencies of average memory in cloud computing multi-processor devices. This proposed COCS technique provides an efficient mathematical modelling to minimize energy consumption. We have tested our experiment on Cybershake scientific dataset and the experimental results are compared with different conventional techniques in terms of time taken to accomplish task, power consumed in the VMs and average power required to handle tasks.

Performance and Analysis of Automatic Detection Of Ground-Glass Pattern in Lung Disease using High-Resolution Computed Tomography M. Anto Bennet; G. Sankar Babu; S. Mekala; S. Natarjan; N. Srinivasan
International Journal of Advances in Applied Sciences Vol 4, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

This study proposes an approach for automatic detection of Ground glass pattern, a lung disease, from Computed Tomography (CT) and High Resolution Computed Tomography (HRCT) scans of the lung. The algorithm is based on frequency spectrum analysis of image using Gabor filter bank. Gabor filter banks are used to support the frequency extraction process. These algorithms when applied to HRCT images will assist doctors to gain more information than from the CT images. The tasks are completed in three steps: Preliminary mask formation, Peripheral mask formation and finally post processing. By these, higher sensitivity and selectivity may be achieved with fast processing time. In the post processing, binary noise removal technique is used to remove noise from the detection mask.

Coding Schemes for Implementation of Fault Tolerant Parrallel Filter Nutenki Siddhartha; G. Renuka
International Journal of Advances in Applied Sciences Vol 7, No 4: December 2018
Publisher : Institute of Advanced Engineering and Science

Digital filters are utilized as a one of flag handling and correspondence frameworks. At times, the unwavering quality of those frameworks is basic, and blame tolerant channel executions are needed. Throughout the years, numerous systems that endeavor the channels' structure and properties to accomplish adaptation to internal failure have been proposed. As innovation scales, it empowers more unpredictable frameworks that join many channels. In those perplexing frameworks, it is regular that a portion of the channels work in parallel. A plan in view of big rectification coding has been as of late proposed to protect parallel channels. In that plan, each channel is deal with as a bit, and excess channels that go about as equality check bits are acquainted with distinguish and rectify blunders. In this short, applying coding systems to secure parallel channels is tended to in a more broad manner. This decreases the assurance overhead and makes the quantity of excess channels autonomous of the quantity of parallel channels. The proposed technique is first described and then illustrated with two case studies. Finally, both the effectiveness in protecting against errors and the cost are evaluated for a field-programmable gate array implementation.

Design, simulation and implementation of an Arduino microcontroller based automatic water level controller with I2C LCD display Akinwole OO
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

The paper explains utilization of Arduino Microcontroller to automatically control level of water in a tank. From a well spelt out algorithms, flowchart was drawn, from which Codes were written and compiled on Arduino IDE. IF statements were copiously used. Proteus was used to simulate the design while the project was implemented on breadboard. Liquid Crystal Display function displays the level of water on the 16 × 2 LCD thus: Very Low, Low, High and Very High. An option of I2C LCD codes was written thus providing advantage of using only two analog input A4 and A5 pins instead of 4 to 8 pins in other configurations thereby allowing other pins dedicated for other tasks. The design recommends improvements in the area of sump control so that its low water level could disable pump thus preventing it from running dry. Protection devices like circuit breaker overload and phase failure relays are recommended in order to prolong the life of the Water pump. It is believed that the design will go in long way in educating power electronic engineers in the arts of design using Arduino; also, a mass production of the device will accentuate Small and Medium Enterprises SMEs in developing countries with its concomitant economic advantages.

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