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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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Cut Detection in Remote Versatile Wireless Sensor Mobile Networks LEELADHAR annepu
International Journal of Advances in Applied Sciences Vol 3, No 4: December 2014
Publisher : Institute of Advanced Engineering and Science

A remote sensor system can get differentiated into different joined segments because of the disappointment of some of its hubs, which is known as a "cut". In this project we consider the issue of catching cuts by the remaining hubs of a remote sensor system. We propose a calculation that permits (i) each hub to recognize when the integration to an exceptionally assigned hub has been lost, and (ii) one or more hubs (that are associated with the uncommon hub after the cut) to discover the event of the cut. The calculation is circulated and non concurrent: each hub needs to correspond with just those hubs that are inside its correspondence range. The calculation is focused around the iterative processing of an imaginary "electrical potential" of the hubs. The union rate of the hidden iterative plan is autonomous of the size and structure of the system. Remote Sensor Networks (Wsns) comprise of a huge number of small hubs having the ability of sensing, calculation, and remote correspondences. Remote sensor system can endure part issue in the system which is known as a cut. So a solitary topology of the system breaks into two or more parts. Here we examine a few slice recognition systems to discover the cuts in WSN.

Design PV system for a small GEO satellite and studying the effect of using different types of propulsion A. Lotfy; W. Anis; Joseph V. M. Halim
International Journal of Advances in Applied Sciences Vol 8, No 1: March 2019
Publisher : Institute of Advanced Engineering and Science

This paper presents an optimum design of the solar Photo-Voltaic (PV) power system for small Geostationary Earth Orbit (GEO) satellites using triple junction solar cells and advanced Lithium Ion batteries. The paper applies the proposed system on various propulsion technologies; full chemical, full electrical and hybrid propulsions. This research work studies the capability to fulfil efficiently all the satellite power requirements during both the launching and the on-station phases while reducing the high cost challenge. Since the propulsion type is a key factor for the satellite cost, an economic analysis is demonstrated and investigated in two different strategies. The first scenario fixes the satellite weight and offers the revenue due to the increase in the satellite payload. However, the second scenario evaluates the saving profits due to the reduction in the satellite weight using the same number of satellite transponders. The analytical comparison among the different propulsion techniques shows the superior advantages of using the full electrical satellites.

GEOHYDRAULIC STUDY OF AQUIFER CHARACTERISTICS IN PARTS OF ENUGU NORTH LOCAL GOVERNMENT AREA OF ENUGU STATE USING ELECTRICAL RESISTIVITY SOUNDINGS Oguama, Bethrand E.; Ibuot, Johnson Cletus; Obiora, Daniel N.
International Journal of Advances in Applied Sciences Vol 9, No 2: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijaas.v9.i2.pp%p

Geophysical survey employing Vertical Electrical Sounding (VES) was achieved in Enugu State College of Education (Technical). Schlumberger electrode configuration was used in acquiring the data which was interpreted using the WinrResist software. Four to five geoelectric layers were delineated from the interpreted results. The hydraulic parameters (hydraulic conductivity, porosity, formation factor, tortuosity and transmissivity) were estimated from the values of resistivity and thickness which are primary geoelectric parameters. The result shows the hydraulic conductivity varying from 2.71 to 70.45m/day, transmissivity: 49.2288 to1127.944 , porosity: 33.71 to 49.44%, formation factor: 0.0014 to 0.0026 and tortuosity: 0.2667 to 0.2935. The zones with high and low values of these parameters were delineated. The potentiality of the aquifer units show moderate to high, a reflection of the heterogeneity of the subsurface which is affected by the composition and geometry of the formation. The result from this study provides some important conclusions for future groundwater exploration and management.

Estimation of Vertical Distance and Reduce Level using Modern Mine Survey Equipments (Total Station) at Sub Level in Maddhapara Granite Mine, Bangladesh Md. Minhaj Uddin Monir
International Journal of Advances in Applied Sciences Vol 3, No 2: June 2014
Publisher : Institute of Advanced Engineering and Science

An underground mine survey work is done using Total Station (TS) at sub-level from third drilling drift to cage shaft in Madhyapara Granite Mine (MGM). The MGM is situated at Madhyapara in Dinajpur district, NW Bangladesh. Room and pillar sub-level stoping underground mining method is applied in MGM and extracted economic mineral (granite, granodiorite, diorite etc) from five stopes, three in the northern side and two in the southern side. Different types of survey equipments (measuring tape, normal staff, compass, ranging rod, automatic level, automatic theodolite) were used in MGM during the development period for the constructions of shafts, underground roadways, drilling drifts, sumps, loading bunkers, cross cuts, stopes etc. MGM contains two vertical shaft (Cage Shaft and Skip Shaft) and three underground levels, ventilation level is used for mine air ventilation, sub-level is for drilling or blasting and production level is for production of mineral ores. The dimension of each stope (l×h×w) is 276,000 m3 (230 m × 60 m × 20 m) as per design. Modern surveying in MGM reduce the error survey data which were used to develop the further constructions as per design and also monitor the weak zones or mine subsidence rate to minimize mine accidents. During the year of 2008-2009, an underground mine survey work is done and calculate the Reduce Level (RL) at various points. The first R.L in the mouth of third drilling drift is -247.267 m and last RL near the cage shaft is -246 m. The vertical distance is also calculated with taping method from surface (mean sea level) to ventilation level, sub level and production level is -228 m, -246 m and -270 m respectively. Using TS and other modern survey accessories regularly in MGM may give the actual survey results which may monitor all the mine constructions and find out the weak zones (if detect) and recommends for supporting system as per geotechnical pressures and finally MGM get read of any type of mine accidents and successfully continue as the mine life time.

Classification of Heart Rate Data Using BFO-KFCM Clustering and Improved Extreme Learning Machine Classifier R. Kavitha; T. Christopher
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

An Electrocardiogram or ECG is an electrical recording of the heart and is used in the investigation of heart disease. The heart rate varies not only in relation to the cardiac demand but is also affected by the presence of cardiac disease and diabetes. Furthermore, it has been shown that Heart Rate Variability (HRV) may be used as an early indicator of cardiac disease susceptibility and the presence of diabetes. Therefore, the heart rate variability may be used for early clinical screening of these diseases. The generalization performance of the SVM classifier is not sufficient for the correct classification of heart rate data. To overcome this problem the Improved Extreme Learning Machine (IELM) classifier is used which works by searching for the best value of the parameters, and upstream by looking for the best subset of features using Bacterial Foraging Optimization (BFO) that feed the classifier. In this work, nine linear and nonlinear features are extracted from the HRV signals. After the preprocessing, feature extraction is done along with feature selection using BFO for data reduction. Then, proposed a scheme to integrate Kernel Fuzzy C-Means (KFCM) clustering and Classifier to improve the accuracy result for ECG beat classification. The results show that the proposed method is effective for classification of heart rate data, with an acceptable high accuracy.

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 C. K. Yap
International Journal of Advances in Applied Sciences Vol 3, No 1: March 2014
Publisher : Institute of Advanced Engineering and Science

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.

Optimum Design of GA-BF Algorithm Based PID Controller for the Solar System S. Mallika; R. Saravanakumarf
International Journal of Advances in Applied Sciences Vol 6, No 2: June 2017
Publisher : Institute of Advanced Engineering and Science

This paper presents a new approach based on the genetic algorithm (GA) and Bacterial Foraging (BF) is used to perform a constrained tuning technique for the PID parameters to optimize the power output of solar panel. A small-signal model is used to design the controller parameters of the conventional PID controller. The dynamics of the converter is non linear, therefore, it is hard to derive desirable performance. So hybrid algorithm is used to optimize the control parameters of boost converter. In order to obtain the fitness of an individual, Simulink model of the boost converter is designed and the hybrid algorithm is programmed to design the optimal control parameters. It was found that the proposed optimal PID controller parameters adjustment by the GA-BF algorithm is superior to the conventional method. The Matlab/Simulink was used to verify the effectiveness of proposed control method.

Curb parking in Campus and Stimulating Students to use Public Bus within National University of Malaysia (UKM) Campus 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

Given the great demand for parking and the implications in the environmental of commuting, universities not in the national university of Malaysia (UKM) only but around the world are implementing strategies to reduce dependence on private vehicles and increase the use of alternative modes of transport. That it must be that the system provides transportation comfort, save the time and be a friend of the environment. Were distributed in n= 80 samples for a survey of students to know the behavior of the student for transportation provided on campus. Noted in the questionnaire that focused on graduate students because they represent the largest proportion. In this questionnaire was to know about student behavior and prevent parking on campus and what is reason that prevents students from turning to public transport within the campus. The results shows that 65% use own vehicle and 35 % use public bus which shows the size of problem.

Comparative Study of Various Neural Network Architectures for MPEG-4 Video Traffic Prediction J.P. Kharat
International Journal of Advances in Applied Sciences Vol 6, No 4: December 2017
Publisher : Institute of Advanced Engineering and Science

Network traffic as it is VBR in nature exhibits strong correlations which make it suitable for prediction. Real-time forecasting of network traffic load accurately and in a computationally efficient manner is the key element of proactive network management and congestion control. This paper comments on the MPEG-4 video traffic predictions evaluated by different types of neural network architectures and compares the performance of the same in terms of mean square error for the same video frames. For that three types of neural architectures are used namely Feed forward, Cascaded Feed forward and Time Delay Neural Network. The results show that cascade feed forward network produces minimum error as compared to other networks. This paper also compares the results of traditional prediction method of averaging of frames for future frame prediction with neural based methods. The experimental results show that nonlinear prediction based on NNs is better suited for traffic prediction purposes than linear forecasting models.

Finite Element Analysis for Five Transmission Lines in Multilayer Dielectric Media Sarhan Musa; Matthew N. O. Sadiku
International Journal of Advances in Applied Sciences Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Development of very high speed integrated circuits is currently of great interests for today technologies. This paper presents the quasi-TEM approach for the accurate parameters extraction of multiconductor transmission lines interconnect in single, two, and three-layered dielectric region using the finite element method (FEM). We illustrate that FEM is as accurate and effective for modeling multilayered multiconductor transmission lines in strongly inhomogeneous media. We mainly focus on designing of five-conductor transmission lines embedded in single-, two-, three-, and four-layered dielectric media. We compute the capacitance matrices for these configurations. Also, we determine the quasi-TEM spectral for the potential distribution of the multiconductor transmission lines in multilayer dielectric media.

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