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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 10 Documents

Search results for , issue "Vol 6, No 1: March 2017" : 10 Documents clear

Design of Wireless Acceleration Sensor Nodes Used in Mechanical Equipment Status Monitoring G. Vamshi Kishore; J. Suresh
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Wireless Sensor Network is a new integrated technology, which combines sensor technology, wireless communication technology, Micro-Electro-Mechanical Systems technology and Digital electronic technology. Now, it has been widely used in military, industrial control, environmental monitoring, transportation, and medical. Along with the research evolution on Wireless Sensor Network, its application fields are gradually expanding. It is penetrating deep into each aspect of the human’s production and life, and will be a new revolutionary technology. In this paper, a wireless acceleration node based on wireless single chip processor CC2430, an ARM7TDMI-S core based microcontroller called LPC2478 microprocessor and three-axis acceleration sensor ADXL330 is designed to monitor the mechanical system operation conditions and fault diagnosis with high efficiency. The performance and characteristics of CC2430, ADXL330 and LPC2478 are introduced compactly. The designations of hardware as well as software of wireless network node are introduced in details. The nodes perform steadily and efficiently in practical test, and it can be easily applied to other monitoring areas.

Small Hydro Power Schemes: Technical Aspects Hira Singh Sachdev; Ashok Kumar Akella
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Small hydro systems play a major role in meeting power requirements of remote, isolated, hilly areas in a decentralized manner by tapping water streams, rivulets and canals of small discharge. Small hydroelectric system captures the energy in flowing water and converts it to electricity.Of all the non-conventional renewable energy sources, small hydro stands first as it is more resourceful, reduces system losses, environment friendly, non-consumptive and source is renewable due to their enormous advantages over large hydro and other power plants, lot of small hydro-power plants have come up across the world to meet the ever increasing demand of electrical energy. Lowering the high initial cost of the small hydro-power plants and its popularization is today’s challenges. This paper describes basic techniques design of the small hydro-power development.

Heavy Metal Uptake of Corn Irrigated with Human Urine Horacio Sabejon Factura
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Pit latrine (PL) is one of the most common disposal systems for human excreta in low-income countries but because it is a hole in the ground, infiltration of liquid effluent into the soil can continuously occur. Poor sanitation systems permit the spread of heavy metals in urine to water bodies especially the groundwater. This study investigated the accumulation of heavy metals in shoots of corn plants irrigated with urine. A pot experiment with corn was conducted under greenhouse conditions. Urine was diluted to 3:1 ratio (water and urine respectively) and was compared to control (water only). Using Inductively Coupled Plasma Optical Emission Spectrometry (ICP-OES), heavy metals such as Boron, Barium, Cobalt, Copper, Iron, Manganese, Nickel, Silicon, Strontium and Zinc were detected in shoots of all plants with contents ranging from 0.22 to 2,487.44 milligram (mg) per kilogram (kg). The higher amounts detected in urine irrigated plants than the control proved the presence of the metals in the urine. Reuse of urine will definitely benefit farmers while at the same time reduce the risk of heavy metal contamination in groundwater.

Phase Sequence Online Correction Based on PIC Technique Bilal A. Mubdir; Dara H. Amin
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Monitoring the delivered power quality (PQ) to a critical load, is a worry issue since it is matter as much as critical or quality sensitive equipment connected to the electrical network. Various PQ problems such as noise, voltage imbalance, waveform distortion, phase imbalance, phase sequence, over voltage or sag are the most popular quality problems that could be detected and fixed if needed. The present work presents a design and practical implementation of electronic embedded system to monitoring the sequence of a three phase electrical system and detects the occurrence of any change in the sequence and fixes it online, correct the phase sequence immediately during less than 70 milli-seconds. PIC Microchip microcontroller has been used as the core of the present system, where the correction of the phases has been achieved by using traditional electromechanical relays. The system has been tested successfully and it functions properly even with multiple sequence changes.

Modelling of e-Governance Framework for Mining Knowledge from Massive Grievance Redressal Data Sangeetha G; L. Manjunatha Rao
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

With the massive proliferation of online applications for the citizens with abundant resources, there is a tremendous hike in usage of e-governance platforms. Right from entrepreneur, players, politicians, students, or anyone who are highly depending on web-based grievance redressal networking sites, which generates loads of massive grievance data that are not only challenging but also highly impossible to understand. The prime reason behind this is grievance data is massive in size and they are highly unstructured. Because of this fact, the proposed system attempts to understand the possibility of performing knowledge discovery process from grievance Data using conventional data mining algorithms. Designed in Java considering massive number of online e-governance framework from civilian’s grievance discussion forums, the proposed system evaluates the effectiveness of performing datamining for Big data.

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.

MTKD: An Algorithm for Multi-Tier Key Distribution for Securing Group Communication in WSN Annapurna H S; M. Siddappa
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

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.

Analysis of Superconducting Fault Current Limiter in DC System with Renewable Energy Sources S. Sanjeeva Rayudu; C. Ganesh; B.Vignesh Naik
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

Superconducting fault-current limiters (SFCLs) have been the subject of research and development for many years and offer an attractive solution to the problem of rising fault levels in electrical distribution systems. SFCLs can greatly reduce fault currents and the damage at the point of fault, and help improve the stability of a power system. Superconducting fault-current limiters (SFCL) provide a new efficient approach to the reliable handling of such faults.(SCFLs) can be used for various nominal voltages and currents, and can be adapted to particular limiting characteristics in case of short circuits. In this project, dc resistive type superconducting fault current limiter (SFCL) is presented. This SFCL is designed for the HVDC system. Uniform current and voltage sharing among the SFCL modules can be observed through contact resistance tests, dc flow-through tests, and ac flow-through tests. Results of tests show that each limiting module has good uniformity in higher current system. The proposed concept can be implemented using renewable energy sources. The results are presented by using Matlab/simulink platform.

Design of Robust Load Frequency Controller for Multi-Area Interconnected Power System Using SDO Software Pasala Gopi; P. Linga Reddy
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

The response of the load frequency control problem in multi-area interconnected electrical power system is much more complex with increasing size, changing structure and increasing load. This paper deals with Load Frequency Control of three area interconnected Power system incorporating Reheat, Non-reheat and Reheat turbines in all areas respectively. The response of the load frequency control problem in a multi-area interconnected power system is improved by designing PID controller using different tuning techniques and proved that the PID controller which was designed by Simulink Design Optimization (SDO) Software gives the superior performance than other controllers for step perturbations. Finally the robustness of controller was checked against system parameter variations..

Congestion Aware Multi-Path Routing Protocol with Load Balancing K.Sangeetha Supriya; M.Gopi Chand; K.Raja Sekhar
International Journal of Advances in Applied Sciences Vol 6, No 1: March 2017
Publisher : Institute of Advanced Engineering and Science

The multi-path routing protocol is one of the approaches used to have less overhead, better bandwidth cost through the load distribution among a set of paths. However, due to the interference of the paths during the communication, it increases the end to end delay and do not work well under a highly congested network. We have proposed the congestion aware multi-path routing protocol with load balancing. The paper explains the problem associated with the end-to-end delay. It deals with the problem of channel interference during the Multi-path communication. It suggests the congestion control mechanisms to improve the protocol performance. It proposes an additive increase/ multiplicative decrease and fast retransmits and recovery process and also it suggest the algorithm for load balancing scheme. In order to minimize the congestion formation, it selects the node disjoint paths for communication. The correlation factor among the selected multiple paths are calculated. It calculates the congestion formation in the network. It compares the proposed MPR protocol with ordinary DSR through the simulation and the simulation results are discussed.

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