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International Journal of Advances in Applied Sciences
ISSN : 22528814     EISSN : 27222594     DOI : -
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 309 Documents
VEHICLE ACCIDENT MANAGEMENT AND CONTROL SYSTEM USING MQTT Senthilkumar, Sudha; Brindha, K.; Bhandari, Shashank
International Journal of Advances in Applied Sciences Vol 9, No 1: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v9.i1.pp1-11

Abstract

The quick development of innovation has made our lives less demanding. Innovation has additionally expanded activity risks and street mishaps occur very often which cause tremendous death toll and damage to property on account of poor response from the people in charge of managing such incidents. The mishap recognition undertaking will give an ideal solution for this problem. An accelerometer or a Tilt Sensor can be used as part of an auto caution application with the goal that unsafe driving can be identified. It can be utilized as a crash or rollover finder of the vehicle amid and after a crash. With signals from a sensor, a serious situation because of an accident can be avoided or attended to at the earliest. At the point of time when a vehicle meets with an accident or an auto moves over, the tilt sensor recognizes the flag and promptly sends it to the microcontroller. The microcontroller sends the alarm message through the IoT Module including the location of the accident through the GPS Module to the police or control group by publishing it over the cloud. So, the crisis enable group can promptly follow the area through the GPS Module, subsequent to receiving and accepting the data. The area can likewise be seen on the Google maps. Vital move can be made if this data reaches the control group in time. This venture is valuable in recognizing the accident with the use of sensors. As a future execution, we can add a remote webcam to the current system in order to capture pictures of the scene of the accident.
ENHANCED PERFORMANCE OF PID LOAD FREQUENCY CONTROLLER FOR POWER SYSTEMS Gobinda Padhan, Dola; Kumar Tummala, Suresh
International Journal of Advances in Applied Sciences Vol 8, No 2: June 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v8.i2.pp117-124

Abstract

A novel control structure for designing a PID load frequency controller for power systems is presented. The controller with a single tuning parameter is designed based on a desired closed-loop complementary sensitivity function and Pade approximation. Comparative analysis demonstrates that proposed PID controllers improves the settling time and reduces overshoot effectively against small step load disturbances. Also, the performance and robustness of the controllers have been analyzed and compared. Simulation results show significantly improved performances when compared with recent results.
PROPAGATION OF RAYLEIGH WAVES IN NON-HOMOGENEOUS ORTHOTROPIC HALF SPACE ELASTIC MEDIA UNDER THE EFFECT OF MAGNETIC FIELD Kakar, Rajneesh
International Journal of Advances in Applied Sciences Vol 2, No 4: December 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v2.i4.pp185-192

Abstract

The influence of magnetic field on the propagation of Rayleigh waves in an inhomogeneous, orthotropic elastic solid medium has been discussed. The method of variable separation of is used to find the frequency equation of the surface waves. The obtained dispersion equations are in agreement with the classical results when magnetic field and non-homogeneity are neglected.
MTKD: AN ALGORITHM FOR MULTI-TIER KEY DISTRIBUTION FOR SECURING GROUP COMMUNICATION IN WSN H S, Annapurna; Siddappa, M.
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v6.i1.pp23-31

Abstract

Security is one of the inherent challenges in the area of wireless sensor network. At present, majoroty of the security algorithm are incorporated with massive iterations of cryptography as well as complex mathematical modelling that result in degradation of quality of service. The present paper takes the case study of group communication in wireless sensor network and introduces a significant protocol that assist in generation of joint key with an aid of unique and lightweight cryptography. The outcome of the study was compared with the most significant and standard work of group communication to find that proposed system is in adherence of time and space complexity.
A REVIEW ON CONTAMINATION OF HEAVY METALS, LINEAR ALKYLBENZENES, POLYCYCLIC AROMATIC HYDROCARBONS, PHENOLIC ENDOCRINE DISRUPTING CHEMICALS AND ORGANOCHLORINE COMPOUNDS IN PERNA VIRIDIS FROM THE COASTAL WATERS OF MALAYSIA: A COMPILATION OF 1998 DATA Yap, C. K.
International Journal of Advances in Applied Sciences Vol 3, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v3.i1.pp1-10

Abstract

Since 1990s until today, the Asia-Pacific Mussel Watch approach has been widely used for biomonitoring purpose in Malaysia by using the green-lipped mussel Perna viridis in particular. This paper reviewed the concentrations of heavy metals (Cd, Cu, Pb and Zn), Linear Alkylbenzenes (LABs), Polycyclic Aromatic Hydrocarbons (PAHs), phenolic Endocrine Disrupting Chemicals (EDCs) [nonylphenol (NP), octylphenol (OP), and bisphenol A (BPA)] and organochlorine (OC) compounds (PCBs, DDTs, CHLs, HCHs and HCB) in nine mussel populations collected in 1998 from the coastal waters of Malaysia. In fact, all of these data were published separately in five different research journals in the literature. Since they discussed only based on the group of contaminants which they focused upon, this review paper aimed to see a holistic picture and understanding of the impacts of the different chemical contaminants in relation to the description of the sampling sites. Based on seven mussel populations with complete 11 chemicals (ranging from heavy metals, LABs, PAHs, phenolic EDCs and OCs), a dendrogram was established using single linkage cluster analysis. The clustering pattern showed two major subclusters. The first one comprising Tanjung Rhu, Trayong, Kuala Penyu and Pasir Panjang populations, indicating relatively uncontaminated conditions while the other subcluster consists of Penang, Kg. Pasir Puteh and Anjung Batu which indicated contaminated conditions as it is well supported by the elevated levels of some chemicals. The subcluster combining Penang and Kg. Pasir Puteh populations were mainly due to the elevated levels of LABs and PAHs in both sites while Kg. Pasir Puteh also had elevated levels of Cu, Pb, PCBs and CHLs. Anjung Batu, which is also clustering together with Penang and Kg. Pasir Puteh population can be explained by its elevated levels of three OC compounds namely DDTs, CHLs and HCHs. This comprehensive review is the first to report in the literature.
PERCEPTION OF HEALTH-IMPACTS OF ENVIRONMENTAL NOISE IN AN AMBIENT NOISE CONTEXT IN OWERRI -URBAN , IMO STATE, NIGERIA Emmanuel Attah, Ubuoh; Akhionbare, S.M.O.; Onifade, O.A.; S. I., Ogbuji
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 | 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.
THE EMPIRICAL ANALYSIS TO ENHANCE TAIWANESE SATISFACTION IN BUYING VIETNAM COFFEE Le, Thi Nham; Wang, Chia Nan; Huang, Ying Fang
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 | DOI: 10.11591/ijaas.v6.i3.pp274-282

Abstract

Vietnam coffee industry has been well-known over the world for many decades. However, Vietnam products do not meet Taiwan customers? expectation, it has lead to urgent challenges for the industry. Therefore, the paper proposed the integrated approach by using exploratory factor analysis, reliability analysis and regression analysis. The results of this study were used to formulate and recommend on how to improve the products of Vietnam coffee by using SPSS statistics for analysis. The major findings of this paper was found out that there are six important determinants of Taiwanese decision-making in buying coffee. In order to enhance customer satisfaction with the coffee products from Vietnam, the companies need right strategies to improve these six groups of factors. The paper contributes meaningful and helpful results to the development of Vietnam coffee industry.
ON THE HIGH DIMENTIONAL INFORMATION PROCESSING IN QUATERNIONIC DOMAIN AND ITS APPLICATIONS Kumar, Sushil; Kumar Tripathi, Bipin
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 | DOI: 10.11591/ijaas.v7.i2.pp177-190

Abstract

There are various high dimensional engineering and scientific applications in communication, control, robotics, computer vision, biometrics, etc.; where researchers are facing problem to design an intelligent and robust neural system which can process higher dimensional information efficiently. The conventional real-valued neural networks are tried to solve the problem associated with high dimensional parameters, but the required network structure possesses high complexity and are very time consuming and weak to noise. These networks are also not able to learn magnitude and phase values simultaneously in space.  The quaternion is the number, which possesses the magnitude in all four directions and phase information is embedded within it. This paper presents a well generalized learning machine with a quaternionic domain neural network that can finely process magnitude and phase information of high dimension data without any hassle. The learning and generalization capability of the proposed learning machine is presented through a wide spectrum of simulations which demonstrate the significance of the work.
OPTIMAL BIDDING AND GENERATION SCHEDULING OF UTILITIES PARTICIPATING IN SINGLE SIDE AUCTION MARKETS INCLUDING ANCILLARY SERVICES Rampriya, B.
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 | DOI: 10.11591/ijaas.v7.i1.pp46-53

Abstract

This paper presents the solution for the supplier?s profit maximization problem with unit commitment decisions participating in single side auction markets of a deregulated power system. The bids from market participants are received by a central pool mechanism and the Market Clearing Price (MCP) for energy and spinning reserve is fixed. The bid quantities are optimized using Differential Evolution (DE) algorithm. The supplier aims to achieve (more) profit than that of the rival?s participating in the competition. A GENCO with 6-unit participating in 24-hour day ahead energy and spinning reserve market is used to illustrate the methodology. The bidding parameters of rival?s participating in the competition are calculated by multi-variant Probability Density Functions (PDF). The results of the proposed methodology are compared with Refined Genetic Algorithm (RGA). Numerical results illustrate the effectiveness of the method in solving the supplier profit maximization problem.
MODELING THE INFLUENTIAL FACTORS OF 8TH GRADES STUDENT’S MATHEMATICS ACHIEVEMENT IN MALAYSIA BY USING STRUCTURAL EQUATION MODELING (SEM) Nazim, Ahmad
International Journal of Advances in Applied Sciences Vol 3, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v3.i4.pp172-177

Abstract

This research demonstrates the application of Structural Equation Modeling (SEM) method in order to obtain the best fit model for a more efficient and accurate inter-relationship among variables findings and interpretation. For the purpose of this study, secondary data of Trends in International Mathematics and Science Study (TIMSS) was used. The questionnaire were distributed by using two stage stratified cluster sampling technique to 5733 eighth grades students in Malaysia. A Confirmatory Factor Analysis (CFA), Discriminant Validity and Path Analysis had been conducted to obtain the best fit model of SEM. At the end of the study, a best fit model will be obtained for a better accuracy and precision estimation in further analysis.

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