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28,188 Article Results

BCG Artifact Removal Using Improved Independent Component Analysis Approach

10.11591/ijeecs.v5.i1.pp130-138
Manjula B.M. , Chirag Sharma
Recent advancement in bio-medical field has attracted researchers toward BCG signal processing for monitoring the health activities. There have been various techniques for monitoring physical activities such as (SCG) Seismocardiography, Electrocardiography (ECG) etc. BCG signal is a measurement of reaction force applied for cardiac ejection of blood. Various measurement schemes and systems have been developed for BCG detection and measurement such as tables, beds, weighing scale and chairs. Weighing scales have been promising method for measurement of BCG signal because of less cost of implementation, smaller size etc. but these devices still suffer from the artifact which are induced due to subject movement or motion during signal acquisition or it can be caused due to floor vibrations. Artifact removal is necessary for efficient analysis and health monitoring. In this work we address the issue of artifact removal in BCG signal by proposing a novel method of signal processing. According to proposed approach raw signal is pre-processed and parsed to independent component analysis which provides the decomposed components and later k-means is applied to detect the components which are responsible for artifact and removed. Proposed approach is compared with existing method and shows better performance in terms of artifact removal.
Volume: 5
Issue: 1
Page: 130-138
Publish at: 2017-01-01

Monthly Precipitation Trend Analysis by Applying Nonparametric Mann- Kendall (MK) and Spearman’s rho (SR) Tests In Dongting Lake, China: 1961-2012

10.11591/ijeecs.v5.i1.pp41-47
Muhammad Tayyab , Jianzhong Zhou , Rana Adnan , Aqeela Zahra
This research highlights the precipitation trends and presents the results of the study in temporal and spatial scales. Precise predictions of precipitation trends can play imperative part in economic growth of a state. This study examined precipitation inconsistency for 23 stations at the Dongting Lake, China, over a 52-years study phase (1961–2012). Statistical, nonparametric Mann- Kendall (MK) and Spearman’s rho (SR) tests were applied to identify trends within monthly, seasonal, and annual precipitation. The trend-free prewhitening method used to exclude sequential correlation in the precipitation time series. The performance of the Mann- Kendall (MK) and Spearman’s rho (SR) tests was steady at the tested significance level. The results showed fusion of increasing (positive) and decreasing (negative) trends at different stations within monthly and seasonal time scale. In case of whole Dongting basin on monthly time scale, significant positive trend is found, while at Yuanjiang River and Xianjiag River both positive and negative significant trends are identified.
Volume: 5
Issue: 1
Page: 41-47
Publish at: 2017-01-01

Face Detection in a Mixed-Subject Document

10.11591/ijece.v6i6.pp2828-2835
Lhoussaine Bouhou , Rachid El Ayachi , Mohamed Baslam , Mohamed Oukessou
Before you recognize anyone, it is essential to identify various characteristics variations from one person to another. among of this characteristics, we have those relating to the face. Nowadays the detection of skin regions in an image has become an important research topic for the location of a face in the image. In this research study, unlike previous research studies  related  to  this  topic  which  have  focused  on  images  inputs  data  faces,  we  are  more interested to the fields face detection in mixed-subject documents (text + images). The face detection system developed is based on the hybrid method to distinguish two categories of objects from the mixed document. The first category is all that is text or images containing figures having no skin color, and the second category is any figure with the same color as the skin. In the second phase the detection system is based on Template Matching method to distinguish among the figures of the second category only those that contain faces to detect them. To validate this study, the system developed is tested on the various documents which including text and image.
Volume: 6
Issue: 6
Page: 2828-2835
Publish at: 2016-12-01

Urban Traffic Simulators

10.11591/ijict.v5i3.pp124-128
Harshita Chitla H
Computer traffic simulation is a widely used technique in modeling, coming up with and development of traffic networks and systems. It contains a various applications, like traffic forecasting, vehicle navigation devices and so on. This paper discusses about the various types of traffic simulators. Another drawback is that the factors like accidents, public events, and road closures. In addition, we are introducing algorithmic concepts, quantifiable metrics and data structural approaches that might be applied to the simulation systems.
Volume: 5
Issue: 3
Page: 124-128
Publish at: 2016-12-01

A Hybrid Cryptographic System for Secured Device to Device Communication

10.11591/ijece.v6i6.pp2962-2970
A. Rama Krishna , A. S. N. Chakravarthy , A. S. C. S. Sastry
It is general fact that even after enormous expansion of wireless communication there are still dead regions that hampers the effective communication. With exponential rise in the smart phones, a new layer of communication has evolved that could address the concerns of dead regions and capacity barriers. D2D is the evolving communication technology which focuses on short distance hops between the public devices to reach the destination. The major drawback of this technology is that most of the devices are public hence trustworthiness of the entire channel needs to be addressed in order to make it a viable solution. In this paper, we introduce a novel hybrid cryptographic approach that could address multiple eavesdroppers’ scenario. This approach incorporates both Huffman coding and Binary coding to enhance the crypto benefits for the information transmitted over D2D channel that consists of several public devices. The dual-crypto nature of the proposed algorithm offers higher efficiency, better security and improved key transmission.  Thus, the proposed hybrid cryptographic approach is robust in nature while easy and simple to operate. In addition, the proposed approach could recover the original information without any distortion from the encrypted data making the approach lossless in nature. Further simulation results prove that the proposed offers confidentiality to the transmitted to data while addressing the network capacity crunch.
Volume: 6
Issue: 6
Page: 2962-2970
Publish at: 2016-12-01

Transformer Less Voltage Quadrupler Based DC-DC Converter with Coupled Inductor and PI Filter for Increased Voltage Gain and Efficiency

10.11591/ijpeds.v7.i4.pp1023-1030
C. Sujitha , S. Ravi , Bakary Diarra , Joseph Chuma
In this paper a voltage quadrupler dc-dc converter with coupled inductor  and π filter is presented. The use of the coupled inductor reduces the high leakage inductance which is present in a transformer enabled converter.  The output ripples in the converter is reduced by providing a π filter.  The interleaved voltage quadrupler is used in this system in order to boost the output voltage. The voltage multiplier improves the output voltage gain.  The main advantage of this system is more voltage gain when compared with the transformer eneabled circuit and the overall efficiency of the system is improved. The circuit is simple to control. As a final point of this research, the simulation and the hardware investigational results are presented to demonstrate the effectiveness of this proposed converter.
Volume: 7
Issue: 4
Page: 1023-1030
Publish at: 2016-12-01

ISAR Image Classification with Wavelet and Watershed Transforms

10.11591/ijece.v6i6.pp3087-3093
B. Mamatha , V. Valli Kumar
Inverse Synthetic Aperture Radar images are playing a significant role in classification of sea and air targets. First we acquire the ISAR images of targets using a sensor like radar and extract the characteristics of targets from the ISAR images in the form of feature vectors. The computed feature vectors are used for classification of targets. In this work, widely used and efficient segmentation tool Watershed transform and the multi resolution technique wavelet transform are explored to derive the target features. An artificial neural network based classifier is used for classification. The Wavelet analysis divides the information of an image into approximation and detail sub signals. The approximate and three detail sub signal values are taken as feature vectors and given as input to the classifier for ship ISAR image classification. The widely used segmentation technique, Watershed transform is applied to the ISAR images. The wavelet coefficients are computed for the segmented ISAR images and used as feature vectors for classification of the ISAR images. Also, the statistical moments mean and standard deviation are computed for the color ISAR images itself, taken in RGB format. These statistical color moments are used as feature vector.  The classification accuracy is compared for the feature vectors.
Volume: 6
Issue: 6
Page: 3087-3093
Publish at: 2016-12-01

Performance Analysis of Photovoltaic Induction Motor Drive for Agriculture Purpose

10.11591/ijpeds.v7.i4.pp1252-1260
Neethu Raj P R , Vasanthi V
This paper presents water pumping system using renewable source (solar) without the use of chemical storage batteries. In this converter-inverter circuit is used to drive Induction motor. The Converter used here is Two Inductor boost converter (TIBC), which consists of a resonant tank, voltage doubler rectifier and a snubber circuit. TIBC is designed to drive the three phase induction motor from PV energy. TIBC converter is also known as current fed multi resonant converter having high voltage gain and low input current ripple. Converter switches are controlled through hysteresis controller and ZCS resonant topologies. Solar PV power fluctuates according to irradiation level of sunlight and hence tracking of maximum power at all time is mandatory. SPWM control with third harmonic injection is used to trigger the IGBT’s in the inverter. The development is oriented to achieve a more efficient, reliable, maintenance free and cheaper solution than the standard ones, that uses DC motors or low voltage synchronous motors. The proposed method is verified with MATLAB/SIMULINK and the system simulation confirms the performance of the proposed system.
Volume: 7
Issue: 4
Page: 1252-1260
Publish at: 2016-12-01

Evaluation of the Forward-Backward Sweep Load Flow Method using the Contraction Mapping Principle

10.11591/ijece.v6i6.pp3229-3237
Diego Issicaba , Jorge Coelho
This paper presents an assessment of the forward-backward sweep load flow method to distribution system analysis. The method is formally assessed using fixed-point concepts and the contraction mapping theorem. The existence and uniqueness of the load flow feasible solution is supported by an alternative argument from those obtained in the literature. Also, the closed-form of the convergence rate of the method is deduced and the convergence dependence of loading is assessed. Finally, boundaries for error values per iteration between iterates and feasible solution are obtained. Theoretical results have been tested in several numerical simulations, some of them presented in this paper, thus fostering discussions about applications and future works.
Volume: 6
Issue: 6
Page: 3229-3237
Publish at: 2016-12-01

Performance Characteristics of Induction Motor with Field Oriented Control Compared to Direct Torque Control

10.11591/ijpeds.v7.i4.pp1125-1133
Hamdy Mohamed Soliman
With development of power electronics and control Theories, the AC motor control becomes easier. So the AC motors are used instead of the DC motor in the drive applications. With this development, a several methods of control are invented. The field oriented control and direct torque control are from the best methods to control the drive systems. This paper is compared between the field oriented control and direct torque control to show the advantages and disadvantages of these methods of controls. This study discussed the effects of these methods of control on the total harmonic distortion of the current and torque ripples. This occurs through study the performance characteristics of the AC motor. The motor used in this study is an induction motor. This study is simulated through the MATLAB program.
Volume: 7
Issue: 4
Page: 1125-1133
Publish at: 2016-12-01

Performance and Energy Saving Analysis of Grid Connected Photovoltaic in West Sumatera

10.11591/ijpeds.v7.i4.pp1348-1354
Syafii Ghazali , Refdinal Nazir
The paper presents performance and energy saving analysis of 1.25 kWp grid connected Photovoltaic system under difference weather condition in West Sumatera.  The measured data were performed during weather data that often occur in West Sumatra i.e. sunny, overcast, raining and cloudy. The synchronizing process successfully done even bad weather conditions when sunlight was low automatically. Photovoltaic in average start producing power from 7:00 AM to 6:00 PM for normal or clear sky, however under overcast, raining and cloudy weather, the PV power decreased and disconnected earlier before sunset. During intermittent raining, overcast and cloud covered the PV power output show an irregular profile. The PV energy saving performed for three residential connection cases: 1300 VA, 900 VA with subsidized and 900 VA without subsidized. The solar PV installation have more benefits and energy saving for 1300 VA, 900 VA without subsidized with payback period around 8.5 years. However, the 900 VA with subsidized take longer 20.8 years, but still in PV lifespan 25 years. In the future, household subsidies may be reduced or eliminated, the solar energy will be viable alternative of energy resources when it can produce electricity at a cost equivalent to utility grid PLN rate. 
Volume: 7
Issue: 4
Page: 1348-1354
Publish at: 2016-12-01

Power Quality Improvement in Fourteen Bus System using Non-Conventional Source Based ANN Controlled DPFC System

10.11591/ijeecs.v4.i3.pp499-507
Akhib Khan Bahamani , G.M. Sreerama Reddy , V. Ganesh
DPFC can be used to improve receiving end voltage of fourteen bus system. This paper shows the conception and simulation of wind and solar based distribution power flow controller for sag compensation and ohmic loss reduction. The objectives of this work are to improve the voltage and reduce the line losses. Fourteen bus systems with DPFC in open loop is simulated. Fourteen bus system with DPFC in closed loop using PI and ANN are also simulated and the results are presented. The comparative study is presented to demonstrate the improvement in dynamic response of ANN controlled DPFC system. ANN is observed to provide better control than has other controllers and improved damping characterises.
Volume: 4
Issue: 3
Page: 499-507
Publish at: 2016-12-01

Response Based Comparative Analysis of Two Inverter Fed Six Phase PMSM Drive by Using PI and Fuzzy Logic Controller

10.11591/ijece.v6i6.pp2643-2657
Anurag Singh Tomer , Saty Prakash Dubey
This Paper gives a complete modeling and simulation of a two inverter fed six phase permanent magnet synchronous motor drive system, Then response based comparative analysis is done on starting torque ,settling time, Steady state current at various speed levels and torque levels by changing  proportional- integral (PI) controller to  Fuzzy logic controller. The PI controller has some disadvantages like, more settling time, sluggish response due to sudden change in load torque etc. So an intelligent controller, based on fuzzy logic is introduced which replaces the PI-controller and its drawbacks. The performance of both the controller has been investigated and studied by comparing the different plots obtained by setting various speed level both incremented and decremented speed  , at different load conditions like No-load, fix load and dynamic load through Matlab/Simulink environment. Finally it is concluded from the result that fuzzy logic based controller is robust, reliable gives quick response with high starting torque and more effective than the conventional PI controller. It is also observed that both the proposed model can also run above rated speed significantally.
Volume: 6
Issue: 6
Page: 2643-2657
Publish at: 2016-12-01

Analyzing the Optimal Performance of Pest Image Segmentation using Non Linear Objective Assessments

10.11591/ijece.v6i6.pp2789-2796
Siva Sangari A , Saraswady D
In modern agricultural field, pest detection is a major role in plant cultivation. In order to increase the Production rate of agricultural field, the presence of whitefly pests which cause leaf discoloration is the major problem.  This emphasizes the necessity of image segmentation, which divides an image into parts that have strong correlations with objects to reflect the actual information collected from the real world. Image processing is affected by illumination conditions, random noise and environmental disturbances due to atmospheric pressure or temperature fluctuation. The quality of pest images is directly affected by atmosphere medium, pressure and temperature. The fuzzy c means (FCM) have been proposed to identify accurate location of whitefly pests. The watershed transform has interesting properties that make it useful for many different image segmentation applications: it is simple and intuitive, can be parallelized, and always produces a complete division of the image. However, when applied to pest image analysis, it has important drawbacks (over segmentation, sensitivity to noise). In this paper, pest image segmentation using marker controlled watershed segmentation is presented. Objective of this paper is segmenting the pest image and comparing the results of fuzzy c means algorithm and marker controlled watershed transformation. The performance of an image segmentation algorithms are compared using nonlinear objective assessment or the quantitative measures like structural content, peak signal to noise ratio, normalized correlation coefficient, average difference and normalized absolute error. Out of the above methods the experimental results show that fuzzy c means algorithm performs better than watershed transformation algorithm in processing pest images.
Volume: 6
Issue: 6
Page: 2789-2796
Publish at: 2016-12-01

Query Optimization Using Fuzzy Logic in Integrated Database

10.11591/ijeecs.v4.i3.pp637-642
Susana Susana , Suharjito Suharjito
Query optimization in integrated database can’t be separated from data processing method.  In order to have faster query response time, a method to optimize queries is required.  One of many methods that can be used for query optimization is using fuzzy logic with Tsukamoto inference system.  Value set on each variable is defined membership functions and Tsukamoto inference system used in determining these rules or the terms of query results, then apply it into query method or query line structure.  The application of fuzzy logic inference systems with Tsukamoto can accelerate query response time, and will have more significant difference when the amount of selected data is greater.
Volume: 4
Issue: 3
Page: 637-642
Publish at: 2016-12-01
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