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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 635 Documents
Manufacturing of Bricks in the Past, in the Present and in the Future: A state of the Art Review Alaa A. Shakir; Ali Ahmed Mohammed
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 (117.665 KB) | DOI: 10.11591/ijaas.v2.i3.pp145-156

Abstract

The most basic building material for construction of houses is the conventional brick. The rapid growth in today’s construction industry has obliged the civil engineers in searching for more efficient and durable alternatives far beyond the limitations of the conventional brick production. A number of studies had taken serious steps in manufacturing bricks from several of waste materials. However, the traditional mean of bricks production which has brought hazardous impacts to the context has not yet been changed or replaced by more efficient and sustainable one. This paper aims to compile this state of the art work of manufacturing bricks in the past and the current trend in the bricks industry with respect to the raw materials, ways of manufacturing and the out- comings. Moreover, the hazardous impacts of the conventional brick manufacturing will be wholly covered as well as the attempts of the previous researches in treating the problem properly. This paper is an attempt to fill the gap of the past studies and suggest more sustainable and sophisticated methods of brick manufacturing in the future.
Highly effective Security Techniques in OSN Based on Genetic Programming Approach Y.N.S.R. Bharadwaj; K. Raja Sekhar
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 (471.894 KB) | DOI: 10.11591/ijaas.v6.i3.pp230-234

Abstract

Assurance is one of the grinding centers that enhances when trades get mediated in Online Community Techniques (Online Social Networks). Diverse gatherings of utilization innovation specialists have limited the 'OSN security issue' as one of surveillance, institutional or open security. In taking care of these issues they have moreover overseen them just as they were person. We adapt that the elite security issues are caught and that evaluation on genuine feelings of serenity in Online Social Networks would advantage from a more exhaustive method. Nowadays, points of interest systems mean a critical piece of relationship; by losing security, these organizations will decrease a ton of pleasant areas to see as well. The inside motivation behind subtle elements security (Information Security) is risk control. There are a great deal of discovering works and exercises in security danger control (ISRM, for example, NIST 800-30 and ISO/IEC 27005. Regardless, only few works of appraisal focus on Information Security danger diminishment, while the signs depict normal determinations and suggestions. They don't give any use ideas concerning ISRM; truth be told diminishing the Information Security dangers in questionable conditions is cautious. Subsequently, this papers joined an acquired counts (GA) for Information Security danger loss of weaknesses. Finally, the parity of the associated system was broke down through a reflection.
Scrapt Waste Tire as an Additive in Asphalt Pavement for Road Construction Tomas Ucol Ganiron Jr
International Journal of Advances in Applied Sciences Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1307.642 KB) | DOI: 10.11591/ijaas.v2.i1.pp33-40

Abstract

This experiment study aimed to use of the waste tires in asphalt mixture as additive. Research has shown that scrap waste tire can be partial replacement by 2% total weight of aggregate retained in No. 4 sieve has an average performance. Characteristics compared to the standard eequirements conformable code. Moreover, the use of scrap waste tire would result in the reduction of waste. High stability of asphalt mixture can be made and the incorporation of admixture or substitute to improve the properties of the mixture. Test result of specimens indicates the stability, and bonding strength of properties, and different reaction when gradation and scrap tire contents have varied. Marshall test having an appropriate workable mixing and right temperature gave sufficient compressive strength and lessen its flow or it deformation under a certain loads.
Classification of Content based Medical Image Retrieval Using Texture and Shape feature with Neural Network Sweety Maniar; Jagdish S. Shah
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 (529.707 KB) | DOI: 10.11591/ijaas.v6.i4.pp368-374

Abstract

Medical image classification and retrieval systems have been finding extensive use in the areas of image classification according to imaging modalities, body part and diseases. One of the major challenges in the medical classification is the large size images leading to a large number of extracted features which is a burden for the classification algorithm and the resources. In this paper, a novel approach for automatic classification of fundus images is proposed. The method uses image and data pre-processing techniques to improve the performance of machine learning classifiers. Some predominant image mining algorithms such as Classification, Regression Tree (CART), Neural Network, Naive Bayes (NB), Decision Tree (DT) K-Nearest Neighbor. The performance of MCBIR systems using texture and shape features efficient. . The possible outcomes of a two class prediction be represented as True positive (TP), True negative (TN), False Positive (FP) and False Negative (FN).
Perception of Health-Impacts of Environmental Noise in an Ambient Noise Context in Owerri -Urban , Imo State, Nigeria Ubuoh Emmanuel Attah; S.M.O. Akhionbare; O.A. Onifade; Ogbuji S. I.
International Journal of Advances in Applied Sciences Vol 1, No 3: September 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1160.803 KB) | DOI: 10.11591/ijaas.v1.i3.pp101-107

Abstract

This paper reports the results of the investigation of health impacts of environmental noise context in Owerri-urban, due to incessant complains of urban dwellers of noise pollution and their effects on the health. This was measured by the use of 210 questionnaires on urban dwellers along the major routes, in which 30 questionnaires  were randomly  administered  between sampled routes designated  NP1- NP7. The observed results indicate that , automobile  has 32.3%, church 3.3%, construction work 19.5%, market 5.7%, industrial activities 9.0%, hawking 10%, and school 6.6%, with  automobile recording the highest response as  the main source of environmental noise pollution and church having the least response. For the perceived health problems caused by environmental noise, the results further shown that  Cardiovascular and Physiological effects constituted 20.5%, Hearing Impairment 25.2%, Sleeplessness 21.9%, mental health 11.4%, annoyance 6.6% and human performance 14.2%, with hearing impairment  ranking the highest  and the lowest being annoyance. Environmental noise was  at the peak between the hours of 8- 11 am constituting 49.1%. The hours between 3-7 pm constitutes 39.5%, while <10pm has 11.4% indicating noise pollution is less in the evening time of the day where people are indoor for rest. These then calls for best management practice like enforcement of pollution law, maintenance of vehicles and creation of awareness on health implications of environmental noise.
Workload Aware Incremental Repartitioning of NoSQL for Online Transactional Processing Applications Anagha Bhunje; Swati Ahirrao
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (297.836 KB) | DOI: 10.11591/ijaas.v7.i1.pp54-65

Abstract

Numerous applications are deployed on the web with the increasing popularity of internet. The applications include, 1) Banking applications, 2) Gaming applications, 3) E-commerce web applications. Different applications reply on OLTP (Online Transaction Processing) systems. OLTP systems need to be scalable and require fast response. Today modern web applications generate huge amount of the data which one particular machine and Relational databases cannot handle. The E-Commerce applications are facing the challenge of improving the scalability of the system. Data partitioning technique is used to improve the scalability of the system. The data is distributed among the different machines which results in increasing number of transactions. The work-load aware incremental repartitioning approach is used to balance the load among the partitions and to reduce the number of transactions that are distributed in nature. Hyper Graph Representation technique is used to represent the entire transactional workload in graph form. In this technique, frequently used items are collected and Grouped by using Fuzzy C-means Clustering Algorithm. Tuple Classification and Migration Algorithm is used for mapping clusters to partitions and after that tuples are migrated efficiently.
A novel multilevel inverter with reduced switch count C. R. Balamurugan; K. Vijayalakshmi
International Journal of Advances in Applied Sciences Vol 8, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (784.662 KB) | DOI: 10.11591/ijaas.v8.i3.pp171-175

Abstract

This paper presents a multilevel inverter with reduced number of switches to produce a five level output. PWM technique (pulse width modulation) has been used to trigger the MLI switches. It gives reduced harmonic. This proposed topology is connected with R-load and RL-load. Four signals are generated for switching on the multilevel inverter (MLI) switches by comparing four level triangular waveform with sine wave. In this proposed topology two switches are reduced from the conventional Cascaded five level inverter. The simulation analysis has been done by MATLAB/SIMULINK.
Comparison of Various Levels of Parallel Multilevel Active Filter Using NPC Multilevel Inverter Farouk Hadj Benali; Fouad Azzouz
International Journal of Advances in Applied Sciences Vol 5, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1236.336 KB) | DOI: 10.11591/ijaas.v5.i1.pp21-31

Abstract

This paper puts forward the technique of reference signal generation of the reactive instantaneous power and the technique of the SPWM control signal generation of the multilevel active filter.  A comparison between the source currents before and after filtering is made. Then a comparison between the different source currents of different multilevel active filters. The subjects of comparison are the total harmonic distortions (THD) of the source current. The obtained simulation results have proved that the filtering quality is improved when increasing the active filter levels. Simulations are carried out by PSIM program.
Review: Dual Band Microstrip Antennas for Wireless Applications Rakesh Kumar Bajpai; Rajeev Paulus; Ashish Singh; Mohammad Aneesh
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (163.012 KB) | DOI: 10.11591/ijaas.v7.i2.pp143-151

Abstract

In this manuscript, a review of dual band microstrip antennas for wireless communication is presented. This review manuscript discusses regarding the geometric structures, different methods of analysis for antenna characteristics, and different types of wireless applications.
Fuzzy logic based MPPT technique for energy conversion Mohit, Kumar; Mohanty, S.K.
International Journal of Advances in Applied Sciences Vol 10, No 1: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v10.i1.pp%p

Abstract

World is facing acute energy crisis as a result of which there is a need for renewable energy sources. Increase in demands and environmental issues lead to rise in renewable energy. Solar energy is being increasing and is being adopted by many countries but the output power is not constant because of two factors radiation and temperature. And also photo voltaic   V-I characteristics are non linear in nature. So MPPT algorithm is applied to increase the overall efficiency. There are many MPPT algorithms and everyone has their own advantages and disadvantages. Perturb and observe are most commonly used MPPT technique because of its simplicity. But it has some drawbacks also. This paper uses Fuzzy logic algorithm as well as Perturb and Observe tracking algorithm for optimizing maximum power point.  After simulation and analysis in Matlab the results indicate that Fuzzy logic algorithm is better than perturb and observe because of its high convergence rate, more stability, fast time response and less overshoot. A complete PV system contrastingly comprises boost converter, MPPT algorithm, PV array, and a load mainly resistive type.

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