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28,188 Article Results

A Thorough Insight to Techniques for Performance Evaluation in Biological Sensors

10.11591/ijece.v6i3.pp986-994
Subhas Meti , V G Sangam
The biological sensor has played a significant and contributory role in the area of medical science and healthcare industry. Owing to critical healthcare usage, it is essential that such type of sensors should be highly robust, sustainable under the adverse condition and highly fault tolerant against any forms of possible system failure in future. A massive amount of research work has been done in the area of the sensor network. However, works done in biological sensors are quite less in number. Hence, this manuscript highlights all the significant research work towards the line of discussion for evaluating the effective in the techniques for performance evaluation of biological sensor. The study finally explores the problems and discusses it under research gap. Finally, the manuscript gives highlights of the future direction of the work to solve the research gap explored from the proposed review of the existing system.
Volume: 6
Issue: 3
Page: 986-994
Publish at: 2016-06-01

DNA Bar-coding: A Novel Approach for Identifying an Individual Using Extended Levenshtein Distance Algorithm and STR analysis

10.11591/ijece.v6i3.pp1133-1139
Likhitha C P , Ninitha P , Kanchana V
DNA bar-coding is a technique that uses the short DNA nucleotide sequences from the standard genome of the species in order to find and group the species to which it belongs to. The species are identified by their DNA nucleotide sequences in the same way the items are recognized and billed in the supermarket using barcode scanner to scan the Universal Product Code of the items. Two items may look same to the untrained eye, but in both cases the barcodes are distinct. It was possible to create DNA-barcodes to characterize species by analysing DNA samples from fish, birds, mammals, plants, and invertebrates using Smith-waterman and Needleman-Wunsch algorithm. In this work we are creating human DNA barcode and implementing Extended Levenshtein distance algorithm along with STR analysis that uses less computation time compared to the previously used algorithms to measure the differential distance between the two DNA nucleotide sequences through which an individual can be identified.
Volume: 6
Issue: 3
Page: 1133-1139
Publish at: 2016-06-01

Optimal Coordination of DOCR for Radial Distribution Systems in Presence of TCSC

10.11591/ijpeds.v7.i2.pp311-321
Lazhar Bougouffa , Abdelaziz Chaghi
Protective relays coordination is the process of determining the exact relay settings such that the relay closes to the fault would operates faster than other relays. The operating time of each relay depends on two independent variables called Pickup current (Ip) and Time Dial Setting (TDS). In this paper, a PSO algorithm has been presented to determine the coordination of Directional Over-Current Relays (DOCRs) in presence of multi-system FACTS devises. From the simulation result and analysis, the impact of TCSC location in the in 33-bus distribution system on Directional Over-Current Relays has been observed on the optimal relays settings as well as the effectiveness of the proposed algorithm in finding optimal coordination of directional over-current relays.
Volume: 7
Issue: 2
Page: 311-321
Publish at: 2016-06-01

Fast document summarization using locality sensitive hashing and memory access efficient node ranking

10.11591/ijece.v6i3.pp945-954
Ercan Canhasi
Text modeling and sentence selection are the fundamental steps of a typical extractive document summarization algorithm.   The common text modeling method connects a pair of sentences based on their similarities.   Even thought it can effectively represent the sentence similarity graph of given document(s) its big drawback is a large time complexity of $O(n^2)$, where n represents the number of sentences.   The quadratic time complexity makes it impractical for large documents.   In this paper we propose the fast approximation algorithms for the text modeling and the sentence selection.   Our text modeling algorithm reduces the time complexity to near-linear time by rapidly finding the most similar sentences to form the sentences similarity graph.   In doing so we utilized Locality-Sensitive Hashing, a fast algorithm for the approximate nearest neighbor search.   For the sentence selection step we propose a simple memory-access-efficient node ranking method based on the idea of scanning sequentially only the neighborhood arrays.    Experimentally, we show that sacrificing a rather small percentage of recall and precision in the quality of the produced summary can reduce the quadratic to sub-linear time complexity.   We see the big potential of proposed method in text summarization for mobile devices and big text data summarization for internet of things on cloud.   In our experiments, beside evaluating the presented method on the standard general and query multi-document summarization tasks, we also tested it on few alternative summarization tasks including general and query, timeline, and comparative summarization.
Volume: 6
Issue: 3
Page: 945-954
Publish at: 2016-06-01

Performance Analysis of Digital Modulation for Coherent Detection of OFDM Scheme on Radio over Fiber System

10.11591/ijece.v6i3.pp1086-1095
Fauza Khair , Fakhriy Hario P , I Wayan Mustika , Budi Setiyanto
Radio over fiber (RoF) system with the coherent detection offers high linearity for the transparent transport of high-frequency microwave signals, and better receiver sensitivity compared with intensity-modulated direct detection systems. The purpose of this paper is to analyze the performance of digital modulation for coherent detection of orthogonal frequency division multiplexing (OFDM) scheme on RoF system at 10 Gbps up to 100 km fiber length. The results show that coherent detection of OFDM-RoF system with 16 quadrature amplitude modulation (16-QAM) has the value of  bit error rate (BER) and the symbol error rate (SER) is very low and its constellation is better compared with other modulation formats (4-QAM, quadrature phase shift keying (QPSK), 8-PSK and 16-PSK), which BER 16-QAM is 0.053 and SER is 15.7%. The results also show that BER value of 4-QAM and QPSK relatively similar to fiber length variations. In general, an increasing value of the BER and SER for each modulation format are almost equal to the fiber length of 60-70 km (Region I and II). However, there is a significant increase in the value of BER in fiber length of 80-100 km (Region III. A and III. B) for the modulation of 4-QAM, QPSK, 8-PSK, and 16-PSK.
Volume: 6
Issue: 3
Page: 1086-1095
Publish at: 2016-06-01

Estimation of Excitation Capacitance Requirement of an Isolated Multi-phase Induction Generator for Power Generation

10.11591/ijpeds.v7.i2.pp561-567
Alok Kumar Mohanty , K B Yadav
Self Excited induction generators are used in remote places for electrical power generation from both conventional as well as non-conventional sources. An Induction generator can operate as a capacitor excited machine provided the machine is driven beyond synchronous speed and a suitable capacitor is connected across its terminals. In this paper a technique has been proposed to estimate the values of excitation capacitances to maintain desired terminal voltages in a multi-phase induction generator. A mathematical model using nodal admittance technique of a six-phase induction generator has been analyzed. Genetic algorithm technique is applied here to obtain the unknown parameters and the capacitance requirements to obtain desired terminal voltages under various operating conditions.
Volume: 7
Issue: 2
Page: 561-567
Publish at: 2016-06-01

Referenced Approximation Technique for a Rom-Less Sweep Frequency Synthesizer

10.11591/ijece.v6i3.pp1213-1222
Atman Jbari , Larbi Bellarbi , Abdelhamid Errachid
The main goal of this paper is to present a novel ROM-less direct digital frequency synthesizer for sweep instrumentation systems. It provides a main sweep channel for frequency analysis and a reference channel for phase and amplitude measurement block operating at constant frequency. For phase to amplitude converter, we propose a new trigonometric approximation technique based on a set of reference angles. In addition, we present the design of the proposed synthesizer and its evaluation in Matlab-Simulink environment. The simulation results illustrate the performances and demonstrate the effectiveness of our proposed circuit.
Volume: 6
Issue: 3
Page: 1213-1222
Publish at: 2016-06-01

Permanent Magnet Synchronous Motor Design using Grey Wolf Optimizer Algorithm

10.11591/ijece.v6i3.pp1353-1362
Yannis L Karnavas , Ioannis D Chasiotis , Emmanouil L Peponakis
Common high-torque low-speed motor drive schemes combine an induction motor coupled to the load by a mechanical subsystem which consists of gears, belt/pulleys or camshafts. Consequently, these setups present an inherent drawback regarding to maintenance needs, high costs and overall system deficiency. Thus, the replacement of such a conventional drive with a properly designed low speed permanent magnet synchronous motor (PMSM) directly coupled to the load, provides an attractive alternative. In this context, the paper deals with the design evaluation of a 5kW/50rpm radial flux PMSM with surface-mounted permanent magnets and inner rotor topology. Since the main goal is the minimization of the machine's total losses and therefore the maximization of its efficiency, the design is conducted by solving an optimization problem. For this purpose, the application of a new meta-heuristic optimization method called “Grey Wolf Optimizer” is studied. The effectiveness of the method in finding appropriate PMSM designs is then evaluated. The obtained results of the applied method reveal satisfactorily enhanced design solutions and performance when compared with those of other optimization techniques.
Volume: 6
Issue: 3
Page: 1353-1362
Publish at: 2016-06-01

Two-way Mechanism to Enhance Confidentiality and Accuracy of Shared Information

10.11591/ijece.v6i4.pp1785-1791
Manash Pratim Dutta , Subhasish Banerjee , Swarnendu Kumar Chakraborty , Chandan Tilak Bhunia
As such internet and information technology have influenced the human life significantly thus the current technology cannot solely assure the security of shared information. Hence, to fulfil such requirements mass amount of research have been undertaken by various researchers among which one of the mechanisms is the use of dynamic key rather than static one. In this regard, we have proposed a method of key generation to provide the dynamic keys. The scheme not only can change the key but also provide the error control mechanism. At the end of this paper, a comparison with the existing techniques has also been made to prove the efficiency of the proposed scheme.
Volume: 6
Issue: 4
Page: 1785-1791
Publish at: 2016-05-14

Analysis and Design of High Gain NRI Superstrate Based Antenna for RF Energy Harvesting System

10.11591/ijeecs.v2.i3.pp647-656
K.K.A. Devi , C. H. Ng
A high gain patch antenna inspired by 4 layers of negative refractive index (NRI) metamaterial superstrate is proposed to operate at downlink radio frequency (RF) band (935 MHz to 960 MHz of GSM 900). The metamaterial unit cell consists of a nested split ring resonator (SRR) and strip line laminated on other side of FR4 substrate. The effective permittivity and permeability of the proposed unit cell are designed synchronously to approach zero, which leads the NRI superstrate to have impedance match with zero and negative refractive index.The NRI superstrate is studied using Fabry-Perot (F-P) resonant cavity. The gain is improved by 82.48% at the air gap of 55 mm in the desired frequency band.Therefore, the gain of the antenna is effectively enhanced based on the negative refractive index metamaterial. The measured radiation pattern and S parameter results also showed that it has good agreement with the simulation results.
Volume: 2
Issue: 3
Page: 647-656
Publish at: 2016-05-07

Hardware Implementation of Induction Motor using ANN Controller under Low Speed Operation

10.11591/ijeecs.v2.i3.pp522-529
Saranya R , Thangavel S
For the high performance drives the artificial neural network based Induction motor is proposed. During the load variation, the performance of the Induction motor proves to be low. Intelligent controller provided for controlling the speed of induction motor especially with high dynamic disturbances. An effective sensorless strategy based on artificial neural network controller is developed to estimate rotor’s position and to regulate the stator flux under low speed, helps to track the motor speed accurately during the whole operating region. The overall combination of this setup is simulated in the MATLAB/SIMULINK platform. Finally an experimental prototype of the proposed drive has been developed to validate the performance of Induction Motor and the dynamic speed response of Induction motor with proposed controller was estimated for various speed and found that the speed can be controlled effectively.
Volume: 2
Issue: 3
Page: 522-529
Publish at: 2016-05-07

Reducing Computational Complexity and Enhancing Performance of IKSD Algorithm for Encoded MIMO Systems

10.11591/ijeecs.v2.i3.pp636-646
Mohammed Qasim Sulttan
The main challenge in MIMO systems is how to design the MIMO detection algorithms with lowest computational complexity and high performance that capable of accurately detecting the transmitted signals. In last valuable research results, it had been proved the Maximum Likelihood Detection (MLD) as the optimum one, but this algorithm has an exponential complexity especially with increasing of a number of transmit antennas and constellation size making it an impractical for implementation. However, there are alternative algorithms such as the K-best sphere detection (KSD) and Improved K-best sphere detection (IKSD) which can achieve a close to Maximum Likelihood (ML) performance and less computational complexity. In this paper, we have proposed an enhancing IKSD algorithm by adding the combining of column norm ordering (channel ordering) with Manhattan metric to enhance the performance and reduce the computational complexity. The simulation results show us that the channel ordering approach enhances the performance and reduces the complexity, and Manhattan metric alone can reduce the complexity. Therefore, the combined channel ordering approach with Manhattan metric enhances the performance and much reduces the complexity more than if we used the channel ordering approach alone. So our proposed algorithm can be considered a feasible complexity reduction scheme and suitable for practical implementation.
Volume: 2
Issue: 3
Page: 636-646
Publish at: 2016-05-07

Model Predictive Current Control of Grid Connected PV Systems

10.11591/ijeecs.v2.i2.pp285-296
Satya Ravi Rai , Jaya Kumar S V , Keerthi Deepika K
This paper deals with the design and simulation of an efficient solar photovoltaic system with a maximum power point tracking system (MPPT). Maximum power point (MPP) is obtained by using Perturb and Observe (P&O) algorithm. The output from solar panel is fed to the DC-DC (Boost) converter which steps up the output voltage. It is then fed to a 3-phase inverter. The inverter used is a 3-phase two-level inverter implemented with a Model Predictive Control strategy. Model of the system is considered in order to predict the control variables. Optimum switching state is selected by minimizing the cost function for each sampling period. This is achieved through modelling and MATLAB simulation of various stages that constitute the overall system.
Volume: 2
Issue: 2
Page: 285-296
Publish at: 2016-05-01

Capacitor Voltage Balancing of Five Level Diode Clamped Converter based STATCOM

10.11591/ijeecs.v2.i2.pp259-267
D. Sindhuja , V. Yuvaraju M.E.
The power quality determines the fitness of the electrical power to the consumer devices. To improve the quality of the power delivered many compensating devices are used. The FACTS devices are normally used to reduce the power quality problems by inducing one or more AC transmission parameters. The static synchronous compensator (STATCOM) can act as either a source or sink of reactive AC power to an electricity network. The basic electronic block of the STATCOM is the voltage-source inverter that converts an input dc voltage into a three-phase output voltage. The STATCOM employs an inverter in order to obtain the voltage source of adjustable magnitude and phase from the DC link voltage on the capacitor. In this model, the STATCOM is designed with the five level diode clamped converter (DCC) controlled by space vector pulse width modulation (SVPWM) technique. The space vector technique with α, β frame is referred here. The dc link capacitor voltage equalization for the five level diode clamped converter was explained. The Total Harmonic Distortion of the source current will be considerably reduced.
Volume: 2
Issue: 2
Page: 259-267
Publish at: 2016-05-01

Extension of Linear Channels Identification Algorithms to Non Linear Using Selected Order Cumulants

10.11591/ijeecs.v2.i2.pp334-343
Mohammed Zidane , Said Safi , Mohamed Sabri
In this paper, we present an extension of linear communication channels identification algorithms to non linear channels using higher order cumulants (HOC). In the one hand, we develop a theoretical analysis of non linear quadratic systems using second and third order cumulants. In the other hand, the relationship linking cumulants and the coefficients of non linear channels presented in the linear case is extended to the general case of the non linear quadratic systems identification. This theoretical development is used to develop three non linear algorithms based on third and fourth order cumulants respectively. Numerical simulation results example show that the proposed methods able to estimate the impulse response parameterswith different precision.
Volume: 2
Issue: 2
Page: 334-343
Publish at: 2016-05-01
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