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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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Neurotransmitters’ Activity and Pharmacotherapies: From Decision Making Process to Juridical Implications Abdelaziz Ghanemi
International Journal of Advances in Applied Sciences Vol 2, No 3: September 2013
Publisher : Institute of Advanced Engineering and Science

Neurotransmitters’ activity, pharmacotherapies, pathological status and the possible interactions between them might influence the neural functions of the brain regions involved in the decision making process. Therefore, we should consider that under certain circumstances, the decision making ability and eventually the behavior might be affected if the individual is for example either under the influence of pharmakons or suffering from neurological disorders. Thus, during legal trials implicating this individual, such approach may have an impact on the juridical decisions or verdicts, especially if it is supported by experts’ opinions on related fields such as pharmacology, toxicology, psychiatry and neuropsychology.

Induction Motor Drive based on Efficiency Optimisation andDrive Loss Minimization in Real-Time Control of Linkage Flux of Drive Reference Farshid Abdolahnejad Baroogh; Milad Gheydi; Payam Farhadi
International Journal of Advances in Applied Sciences Vol 6, No 3: September 2017
Publisher : Institute of Advanced Engineering and Science

Induction motor drives are commonly used for applications with vast variations in mechanical load for torques under nominal values. HVAC loads are among these loads. The most ideal scheme for induction motor drive design should include drive loss reduction, or efficiency improvement, proportional to load torque such that optimal performance of drive is not affected. In this paper, using analytical methods, an accurate model is proposed for induction motor drive design. This model allows us to utilize real control and classical control theory for better performance of drive control system. The most damaging mechanical load for induction motor drive is impulse load or so-called periodic load. A scheme proposed for power loss control includes loss control for this type of load, meanwhile, robustness of drive system and stator frequency stability are retained. Main advantages for this scheme are applicability and implementation on various induction motor drives with various powers, without any specific requirements and the least possible computation for the processors.

The Way Forward in Sustainable Construction: Issues and Challenges Jamilus Md Hussin; Ismail Abdul Rahman; Aftab Hameed Memon
International Journal of Advances in Applied Sciences Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Construction industry is one of the most significant industries that contribute toward socio-economic growth especially to developing countries. The nature of the industry are fragmented, unique and complex which always face chronic problems like time overrun (70% of projects), cost overrun (average 14% of contract cost), and waste generation (approximately 10% of material cost). It is also regarded as one of the largest polluters to our environment. Traditional practices of construction process and management are found unable to control unprecedented challenges including the carbon emission issue. These challenges accent the need for practitioners to rethink and improve the construction process and technology. This shows that the construction industry has a major potential in the advancement of sustainable development by addressing issues related to the economic, social, and environment. By adopting sustainable construction, it can reduce the overall energy use and maximize potential for renewable energy supply, minimize waste, conserve water resources, enhance water quality, incorporate water sensitive design and minimize vulnerability to flooding, minimize polluting emissions to water, air and soil and minimize noise and light pollution.

Physical Properties and Compressive Strength of Zinc Oxide Nanopowder as a Potential Dental Amalgam Material Nanang Qosim; Putut Murdanto; Poppy Puspitasari
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

In this study, the application of nanotechnology was applied in the dentistry field, especially in the innovation of dental amalgam material. To date, mercury (Hg) has been used widely as dental amalgam material with consideration of the cheap price, ease of use, and good mechanical strength. However, last few years, many problems have been faced in the dentistry field due to the use of mercury. Hence, new material is needed as an innovation to eliminate the mercury from dental amalgam composition. This research was conducted to analyze the physical properties and compressive strength of zinc oxide (ZnO) nanopowder as a potential dental amalgam material. The physical properties such as morphology and dimensions were analyzed by SEM and XRD. Further, the compression test was conducted by using hydraulic press machine. The results showed that the ZnO nanopowder analyzed has the particle size of 14.34 nm with the morphology classified as nanorods type. On the compression load of 500 kg, the average of ZnO green density is 3.170 g/cm3. This value experienced the increase of 4.763% when the load was set to 1000 kg, and 7.539% at 2000 kg. The dwelling time also took the same effect. At 30 seconds, the average of ZnO green density is 3.260 g/cm3. This value experienced the increase of 0.583% at 60 seconds and 3.098% at 90 seconds.

Distance: A Moderator Between Walking Activity and Pattern Classification Ching Yee Yong; Kim Mey Chew; Rubita Sudirman; Nasrul Humaimi Mahmood
International Journal of Advances in Applied Sciences Vol 1, No 2: June 2012
Publisher : Institute of Advanced Engineering and Science

The research of this paper is to investigate does distance will affecting the walking activity and the pattern for classification. This paper built a comprehensive picture of the human walking activity, programming language, workflow of the tool, features extraction and patterns classification method and captured the attitudes of the respondents. The subject was performed a range of walking activity in a controlled laboratory setting. The result of this study shows that the moderating effects of walking distance explains 15.80% (Gyroscope), 74.60% (Accelerometer) and 98.60% (Compass) of variance in research output. The result is expected to be beneficial and able to assist researchers and medical officers in analyzing human motion and its pattern classification.

A Novel CAZAC Sequence Based Timing Synchronization Scheme for OFDM System Anuja Das; Biswajit Mohanty; Benudhar Sahu
International Journal of Advances in Applied Sciences Vol 7, No 1: March 2018
Publisher : Institute of Advanced Engineering and Science

Several classical timing synchronization schemes have been proposed for the timing synchronization in OFDM systems based on the correlation between identical parts of OFDM symbol. These schemes show poor performance due to the presence of plateau and significant side lobe. In this paper we present a timing synchronization schemes with timing metric based on a Constant Amplitude Zero Auto Correlation (CAZAC) sequence. The performance of the proposed timing synchronization scheme is better than the classical techniques

An experimental study on performace of starch extracted from wheat flour as filtration control agent in drilling fluid Raheel Iqbal; Fawad Pirzada; Muhammad Zubair; Ameer Mehmood
International Journal of Advances in Applied Sciences Vol 9, No 4: December 2020
Publisher : Institute of Advanced Engineering and Science

The phenomenon of lost of mud filtrate into a porous permeable formation due to high hydrostatic pressure compared to the formation pressure is known as fluid loss. This cause some major problems in well during drilling as poor cementing job, pipe stuck, and formation damage. Thus, to safe the well from such problems and in order to make safe and effective drilling an additive from wheat flour is extracted which is starch, and acting as a fluid loss control agent. The purpose of this research is to investigate the potential of utilizing this additive to form environmentally safe, non-toxic, high biodegradability and low-cost water-based drilling fluid samples with varying the amount of starch. Experimental results showed that Efficiency of starch obtained from wheat-flour is showing increment in rheological properties as compare to starch present in market by using same and varying quantity of both and observed that wheat-flour starch is more efficient as compare to starch in market. On the other hand, the efficiency of starch is good but it has been also improved by the extraction of starch from wheat-flour by the centrifugation process.

Effect of Novel Nanocomposite Materials for Enhancing Performance of Thin Film Transistor TFT Model Youssef Ahmed Mobarak; Moamen Atef
International Journal of Advances in Applied Sciences Vol 5, No 1: March 2016
Publisher : Institute of Advanced Engineering and Science

The potential impact of high permittivity gate dielectrics on thin film transistors short channel and circuit performance has been studied using highly accurate analytical models. In addition, the gate-to-channel capacitance and parasitic fringe capacitances have been extracted. The suggested model in this paper has been increased the surface potential and decreased the threshold voltage, whenever the conventional silicon dioxide gate dielectric is replaced by high-K gate dielectric novel nanocomposite PVP/La2O3Kox=25. Also, it has been investigated that a decrease in parasitic outer fringe capacitance and gate-to-channel capacitance, whenever the conventional silicon nitride is replaced by low-K gate sidewall spacer dielectric novel nanocomposite PTFE/SiO2Ksp=2.9. Finally, it has been demonstrated that using low-K gate sidewalls with high-K gate insulators can be decreased the gate fringing field and threshold voltage. In addition, fabrication of nanocomposites from polymers and nano-oxide particles found to have potential candidates for using it in a wide range of applications in low cost due to low process temperature of these nanocomposites materials.

Vision Based Approach to Sign Language Recognition Himanshu Gupta; Aniruddh Ramjiwal; Jasmin T. Jose
International Journal of Advances in Applied Sciences Vol 7, No 2: June 2018
Publisher : Institute of Advanced Engineering and Science

We propose an algorithm for automatically recognizing some certain amount of gestures from hand movements to help deaf and dumb and hard hearing people. Hand gesture recognition is quite a challenging problem in its form. We have considered a fixed set of manual commands and a specific environment, and develop a effective, procedure for gesture recognition. Our approach contains steps for segmenting the hand region, locating the fingers, and finally classifying the gesture which in general terms means detecting, tracking and recognising. The algorithm is non-changing to rotations, translations and scale of the hand. We will be demonstrating the effectiveness of the technique on real imagery.

An efficient quantum multiverse optimization algorithm for solving optimization problems Samira Sarvari; Nor Fazlida Mohd. Sani; Zurina Mohd Hanapi; Mohd Taufik Abdullah
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Due to the recent trend of technologies to use the network-based systems, detecting them from threats become a crucial issue. Detecting unknown or modified attacks is one of the recent challenges in the field of intrusion detection system (IDS). In this research, a new algorithm called quantum multiverse optimization (QMVO) is investigated and combined with an artificial neural network (ANN) to develop advanced detection approaches for an IDS. QMVO algorithm depends on adopting a quantum representation of the quantum interference and operators in the multiverse optimization to obtain the optimal solution. The QMVO algorithm determining the neural network weights based on the kernel function, which can improve the accuracy and then optimize the training part of the artificial neural network. It is demonstrated 99.98% accuracy with experimental results that the proposed QMVO is significantly improved optimization compared with multiverse optimizer (MVO) algorithms.

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