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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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Study and optimization of a renewable system of small power generation Mohammed Salim Hadjidj; Bibi Triki Faouzi; Didi Faouzi
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

In this paper, a study was conducted on the sustainable development of solar and wind energy sources. The approach adopted is to exploit the two renewable resources by arriving to determine optimal configurations of photovoltaic and / or wind energy system with storage to provide electricity to a self-contained residential apartment located in the city of Tlemcen , in Algeria. The Tlemcen site showed a more favourable trend to use the photovoltaic system alone on the hybrid PV / wind system because of the low wind speeds of this site. The calculation method used is based on the monthly averages for ten consecutive years, data collected by the Tlemcen Zenâta weather station in order to have a better reliability analysis of an electric power generation system. In addition, the methods used in this study can be used to determine the optimal size of the most economical hybrid system that corresponds to any site in the world and for any requested load.

Analytical Model for Critical Impact Energy of Spalling and Penetration in Concrete Wall Qadir Bux alias Imran Latif; Ismail Abdul Rahman; Ahmad Mujahid Ahmad Zaidi; Kamran Latif; Aftab Hameed; Sasitharan Nagapan
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

Penetration is the basic element of designing protective concrete structure against the local impact of hard projectile. Conventional, un-conventional, and sensitive structures should have to be designed as self-protective structures in order to resist natural disaster, consciously engendered unpleasant incidents, or/and against accidently occur incidents in nuclear plants, local industries etc.. When hard projectile collides with concrete wall, it is the critical impact energy of the projectile that deforms concrete wall. Critical impact energy is the dominant cause of penetration in concrete structures. Therefore, it is vital to study critical impact energy that causes penetration. An analytical model is developed to predict the required critical impact energy for spalling and tunneling and maximum penetration without rear effects in concrete walls when it is impacted with hard projectile. The newly developed analytical model is examined for CRH =2.0, 3.0. It was found that the predicted results from analytical model are in close relation with experimental data with less than (8%) and (17%) error in case of CRH =2.0 and 3.0. Furthermore, Chen and Li nose shape factor is modified as (Ni), with introduction of empirical frictional factor (Nf). It was found that the predicted results from analytical model with proposed nose shape (Ni) are in close relation with experimental data in all cases as compared to predicted results with traditional Li and Chen nose shape (N*). In general, the analytical model generates encouraging prediction which is consistent and follows a general trend of experimental results. Therefore, it is suggested that the proposed analytical model is conservative.

A Study on Big Data Techniques and Applications K. Radha; B. Thirumala Rao
International Journal of Advances in Applied Sciences Vol 5, No 2: June 2016
Publisher : Institute of Advanced Engineering and Science

We are living in on-Demand Digital Universe with data spread by users and organizations at a very high rate. This data is categorized as Big Data because of its Variety, Velocity, Veracity and Volume. This data is again classified into unstructured, semi-structured and structured. Large datasets require special processing systems; it is a unique challenge for academicians and researchers. Map Reduce jobs use efficient data processing techniques which are applied in every phases of Map Reduce such as Mapping, Combining, Shuffling, Indexing, Grouping and Reducing. Big Data has essential characteristics as follows Variety, Volume and Velocity, Viscosity, Virality. Big Data is one of the current and future research frontiers. In many areas Big Data is changed such as public administration, scientific research, business, The Financial Services Industry, Automotive Industry, Supply Chain, Logistics, and Industrial Engineering, Retail, Entertainment, etc. Other Big Data applications are exist in atmospheric science, astronomy, medicine, biologic, biogeochemistry, genomics and interdisciplinary and complex researches. This paper is presents the Essential Characteristics of Big Data Applications and State of-the-art tools and techniques to handle data-intensive applications and also building index for web pages available online and see how Map and Reduce functions can be executed by considering input as a set of documents.

Design of an IOT Based Online Monitoring Digital Stethoscope B. Revanth Reddy; S. Roji Marjorie; P. Ramakrishna
International Journal of Advances in Applied Sciences Vol 7, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Acoustic stethoscopes have low sound levels. Digital stethoscope overcomes this issue by amplifying body sounds electronically. As the sound signals are transmitted electronically, it can be wireless and can provide noise reduction. Acoustic stethoscope can be changed into a digital stethoscope by inserting an electric capacity microphone onto its head. Heart sounds received from the microphone are processed, sampled and sound signals are converted analog to digital and sent wirelessly using the Internet of Things(IOT) techniques, so that multiple doctors can do auscultation and monitor conditions of the patient.

Improved speed response of DC motor via intelligent techniques Hassan Farahan Rashag
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

The classical Proportional- Integral (PI) control for Direct Current (DC) motor causes slow response of actual speed with high overshoot and undershoot which leads to sluggishness of the system. To minimize the problem of PI controller, intelligent technique based on hybrid neural network sliding mode control NN-SMC is suggested. The benefits of SMC are that it is simple, and tough to parameter deviations as compared with other controllers. In this paper, the neural network NN is used to minimize the error between reference speed and actual speed. In addition, the SMC aim is to control and optimize the voltage that is supplies the DC motor which guarantees the robust performance of the speed controller under disturbances. The proposed method for the speed control is first calculated and executed to DC motor by using MATLAB SIMULINK. The results of the suggested NN-SMC are compared with the traditional PI controller. The results obviously show the supremacy of NN-SMC over PI controller.

Evaluation of h- and g-indices of Scientific Authors using Modified K-Means Clustering Algorithm S. Govinda Rao; A. Govardhan
International Journal of Advances in Applied Sciences Vol 4, No 4: December 2015
Publisher : Institute of Advanced Engineering and Science

In this paper we proposed modified K-means algorithm to assess scientific authors performance by using their h,g-indices values. K-means suffers from poor computational scaling and efficiency as the number of clusters has to be supplied by the user. Hence, in this work, we introduce a modification of K-means algorithm that efficiently searches the data to cluster points by compute the sum of squares within each cluster which makes the program to select the most promising subset of classes for clustering. The proposed algorithm was tested on IRIS and ZOO data sets as well as on our local dataset comprising of h- and g-indices, which are the prominent markers for scientific excellence of authors publishing papers in various national and international journals. Results from analysis reveal that the modified k-means algorithm is much faster and outperforms the conventional algorithm in terms of clustering performance, measured by the data discrepancy factor.

Super Capacitor Electronic Circuit Design for Wireless Charging A. Hameed; 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

Keeping time as base, a gadget has been proposed, where electrical accessories like Mobiles are charged within a fraction of minutes which is highly efficient and time saver as compared to the present time chargers which take nearly two hours to get fully charged. Objective of this project is to create a circuit which will be charged quickly and wireless. Wireless charging circuit works on the principle of inductive coupling. AC energy has been converted to DC energy through diode rectifier. Oscillator circuit produces high frequency passed by transmitter circuit to transmit magnetic field which is received by receiver circuit. A wireless charging concept with super capacitor will lead to faster charging and long operative life. Here super capacitor is used as a storage device. A Super capacitor has magnificent property, it can charge as well as discharge very quickly and linearly alike battery. The main difference between battery and super capacitor is specific energy, Super capacitor have 10-50 time less than battery.

Passerine swarm optimization algorithm for solving optimal reactive power dispatch problem Lenin Kanagasabai
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

This paper presents Passerine Swarm Optimization Algorithm (PSOA) for solving optimal reactive power dispatch problem. This algorithm is based on behaviour of social communications of Passerine bird. Basically, Passerine bird has three common behaviours: search behaviour, adherence behaviour and expedition behaviour. Through the shared communications Passerine bird will search for the food and also run away from hunters. By using the Passerine bird communications and behaviour, five basic rules have been created in the PSOA approach to solve the optimal reactive power dispatch problem. Key aspect is to reduce the real power loss and also to keep the variables within the limits. Proposed Passerine Swarm Optimization Algorithm (PSOA) has been tested in standard IEEE 30 bus test system and simulations results reveal about the better performance of the proposed algorithm in reducing the real power loss and enhancing the static voltage stability margin

An Enhanced Lossless Color Filter Array Image Compression Based On Predictive Adaptive Arithmetic Coding L.M. Varalakshmi; R. Sowmiya
International Journal of Advances in Applied Sciences Vol 4, No 1: March 2015
Publisher : Institute of Advanced Engineering and Science

Most consumer digital cameras use a single image light sensor which provides color information using color filter array(CFA).This provided a mosaic images, in which each pixel position contains only one color component in case of Bayer CFA Pattern. This paper produced a CFA hierarchical prediction scheme based on context adaptive coding. In CFA hierarchical scheme, the green pixels were subdivided into two sets . was encoded by a gray scale conventional method and was predicted based on . The red pixels were predicted using both the sets of green pixels and blue pixels were predicted using red and green. The predictors were designed based on direction of the edges in the neighborhood. Using the prediction information, the magnitude of prediction error was also determined and context adaptive arithmetic coding was applied to reduce bits. The simulated results on CFA images showed that the proposed method gives less bits per pixel than the recently developed CFA compression algorithms.

Opinion Sentiment Analysis Alok Kumar; Renu Jain
International Journal of Advances in Applied Sciences Vol 5, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

An automatic system to analyze the opinions/feedbacks of the people working in any organization is proposed. The proposed system does two major jobs: the first part extracts the most relevant/important aspects from the textual feedbacks provided by clients/managers/co-workers for all the employees having similar job profile and the second part measures the degree of positivity or negativity for all the extracted aspects for every employee and then an overall performance of everyone is evaluated. We have implemented the system to study the feedback of teachers. The proposed system is flexible and versatile than the existing feedback evaluation system of teachers where students evaluate the teachers on the predefined aspects decided by experienced and senior teachers. Our system, Faculty Evaluation System (FES) identifies strengths and weaknesses of teachers on all aspects which are important to students. This information may be used by higher authorities of the institute in identifying suitable faculty members for different academic and administrative activities of the institute in addition to the teaching responsibility.

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