Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

29,734 Article Results

Forecasting Drought Using Modified Empirical Wavelet Transform-ARIMA with Fuzzy C-Means Clustering

10.11591/ijeecs.v11.i3.pp1152-1161
Muhammad Akram Shaari , Ruhaidah Samsudin , Ani Shabri Ilman
Drought forecasting is important in preparing for drought and its mitigation plan. This study focuses on the investigating the performance of Auto Regressive Integrated Moving Average (ARIMA) and Empirical Wavelet Transform (EWT)-ARIMA based on clustering analysis in forecasting drought using Standard Precipitation Index (SPI). Daily rainfall data from Arau, Perlis from 1956 to 2008 was used in this study. SPI data of 3, 6, 9, 12 and 24 months were then calculated using the rainfall data. EWT is employed to decompose the time series into several finite modes. The EWT is used to create Intrinsic Mode Functions (IMF) which are used to create ARIMA models. Fuzzy c-means clustering is used on the instantaneous frequency given by Hilbert Transform of the IMF to create several clusters. The objective of this study is to compare the effectiveness of the methods in accurately forecasting drought in Arau, Malaysia. It was found that the proposed model performed better compared to ARIMA and EWT-ARIMA.
Volume: 11
Issue: 3
Page: 1152-1161
Publish at: 2018-09-01

Novel Zeta Converter With Multi Level Inverter Connected To Grid

10.11591/ijeecs.v11.i3.pp814-820
Suresh P
The usage of multilevel inverter has increased in a drastic manner for the past years. These novel  inverters are useful in various mega power applications. As they are have the ability to change the output waveforms, they are having good harmonic distortions and better output results. This work proposes a novel five level asymmetrical  inverter which is incorporated with the zeta converter. Comparison is made with the existing multilevel inverter with the proposed system. The simulation results give the proposed system has less THD[1] when compared to the existing inverters. The main objective is that the number of switches and capacitors are reduced which in turn reduces the loss and the cost. From the output results is has been proved that the proposed topology gives reduced loss and high quality output when compared with the conventional methods.
Volume: 11
Issue: 3
Page: 814-820
Publish at: 2018-09-01

Quality of Care Received by Children from 1 to 23 Months: Realities in The City of Antananarivo

10.11591/ijphs.v7i3.14066
Fidiniaina Mamy Randriatsarafara , Domoina Zafindrasoa Rakotovao-Ravahatra , Lantonirina Ravaoarisoa , Ando Faramalalatiana Rafanomezantsoa , Jean De Dieu Marie Rakotomanga , Vahiniarison Dieudonné Randrianarimanana
Children's health depends on the proper care they receive from their mothers. This study aims to describe the quality of care received by children from 1 to 23 months in the city of Antananarivo. This is a cross-sectional and analytical study for a period from December 2016 to April 2017 in the city of Antananarivo which is the capital of Madagascar. The study population was made up of 420 mother-child dyads living in the city of Antananarivo. Regarding the care received by children, 47.6%, 95% Confidence Interval (CI) [42.8–52.4] benefit from quality nutrition care, 92.3%, 95% CI [89.8-94.8], have a social care and 45.5%, 95% CI [40.9–50.5] receive health care. The hygiene of life 66.4%, 95% CI [61.6–70.6] and the body hygiene 35.3%, 95% CI [30.6–39.8] improve as the child grows up. The care received by children was complete for the five types in 7.6%, 95% CI [5.1–10.1].  With regard to the profile of the mother, mothers under the age of 18 (OR=3.25, 95% CI [1.07-9.46]) and those who are single (OR=3.47, 95% CI [1.24-9.35]) offer more acceptable care to their infants. Infant care depends on the socio-economic and demographic profile of the mother. Thus, it is important to strengthen the communication strategy on infant first aid gestures and mothers' education on childcare.
Volume: 7
Issue: 3
Page: 157-161
Publish at: 2018-09-01

Survey On The Role Of IoT In Intelligent Transportation System

10.11591/ijeecs.v11.i3.pp936-941
Varun Chand H , Karthikeyan J
Precise and appropriate traffic related data allows travellers to choose suitable travelling modes, travelling paths, and departure time, which is crucial for the success of Intelligent Transportation System (ITS). With the growth of vehicles, the rate of pollution and consumption of fuel has increased, it also creates traffic congestions. For the recent years there has been a rapid growth in technology, which can be explored to solve traffic issues. However, depending upon the available technologies each countries ITS research area may be different. The objective of this literature review is to integrate ITS with internet of things and it also discusses the prospect of clustering, controller system, location identification and resource privacy in ITS.
Volume: 11
Issue: 3
Page: 936-941
Publish at: 2018-09-01

Comparative Analysis of SRAAA, SDSR, SAODV Routing Protocol for Video Streaming in MANET

10.11591/ijeecs.v11.i3.pp1075-1082
V.J. Chakravarthy
The most challenging concern in MANET is video streaming and it essentially exaggerated by these important factors such as fading, node mobility, interference, topology on change in dynamic, collusion, shadowing in multi-path etc. One of the very attractive and considered for many applications is Mobile Ad Hoc Networks (MANET).Routing Protocol is most significant element which is considered as the MANET. Though, the quite demanding task is video streaming over MANET. This paper have been investigated the analysis of routing protocols over MANET for video streaming. The comparison of the three routing protocols are Secure Dynamic Source Routing (SDSR), Secure Ad hoc On-demand Distance Vector (SAODV) and secured Right angled and Ant search routing Protocol (SRAAA) on the basis of various performance metrics such as Throughput, Packet Delivery Ratio (PDR), Delay, Packet Delivery Fraction (PDF), Energy Consumption, Link Failure and Packet Drop has been obtainable in this paper for supporting video streaming applications. Based on the compared stimulated results concluded that SRAAA routing protocol is comparatively better in performance of all metrics than the SAODV and SDSR routing protocols.
Volume: 11
Issue: 3
Page: 1075-1082
Publish at: 2018-09-01

Performance Improvement of MIMO-OSTBC System with BCH-TURBO Code In Rayleigh Fading Channel

10.11591/ijeecs.v11.i3.pp898-907
SOFI Naima , FATIMA Debbat , Fethi Tarik Bendimerad
Recently, OSTBCs has become a widespread technique for signal transmission over wireless channels because of their diversity gain, but there are not designed to achieve an additional coding gain. Hence, OSTBCs must be concatenated with an external code which allows a significant coding gain.FEC (forward error correction) is a technique used for detecting and possibly correcting errors that can occur when messages are transmitted through a digital communication system, also for rendering the information more reliable. Thus, with staffing these coding techniques that are able to reach Shannon limits, in  MIMO systems, better performances can be achieved by taking advantages of  diversity and coding gains. The objective of this paper is to compare different FEC codes in Rayleigh fading channel and propose an appropriate code for MIMO-OSTBC systems. The simulation results reveal the performance of the proposed model
Volume: 11
Issue: 3
Page: 898-907
Publish at: 2018-09-01

Cube Arithmetic: Improving Euler Method for Ordinary Differential Equation using Cube Mean

10.11591/ijeecs.v11.i3.pp1109-1113
Nooraida Samsudin , Nurhafizah Moziyana Mohd Yusop , Syahrul Fahmy , Anis Shahida Niza binti Mokhtar
The Euler method is a first-order numerical procedure for solving Ordinary Differential Equation (ODEs) problems. It is an effective and easy method to solve initial value problems. Although Euler provides simple procedure for solving ODEs, there have been issues such as complexity, time of processing and accuracy that compelled the use of other, more complex, methods. Improvements to the Euler method have attracted much attention resulting in numerous modified Euler methods. This paper proposes Cube Arithmetic, a modified Euler method with improved accuracy. The efficiency of Cube Arithmetic was compared with Euler Arithmetic and tested using SCILAB against exact solutions. Results indicate that not only Cube Arithmetic provided solutions that are similar to exact solutions at small step size, but also at higher step size, hence producing more accurate results.
Volume: 11
Issue: 3
Page: 1109-1113
Publish at: 2018-09-01

Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting

10.11591/ijeecs.v11.i3.pp1121-1128
Nor Azizah Hitam , Amelia Ritahani Ismail
Machine Learning is part of Artificial Intelligence that has the ability to make future forecastings based on the previous experience. Methods has been proposed to construct models including machine learning algorithms such as Neural Networks (NN), Support Vector Machines (SVM) and Deep Learning. This paper presents a comparative performance of Machine Learning algorithms for cryptocurrency forecasting. Specifically, this paper concentrates on forecasting of time series data. SVM has several advantages over the other models in forecasting, and previous research revealed that SVM provides a result that is almost or close to actual result yet also improve the accuracy of the result itself. However, recent research has showed that due to small range of samples and data manipulation by inadequate evidence and professional analyzers, overall status and accuracy rate of the forecasting needs to be improved in further studies. Thus, advanced research on the accuracy rate of the forecasted price has to be done.
Volume: 11
Issue: 3
Page: 1121-1128
Publish at: 2018-09-01

A New Adaptive Anti-windup Controller for Wind Energy Conversion System Based on PMSG

10.11591/ijpeds.v9.i3.pp1321-1329
Ed-dahmani Chafik , Mahmoudi Hassane , Bakouri Anass , El Azzaoui Marouane
In this paper, an adaptive anti-windup control strategy for permanent magnet synchronous generator dedicated for wind energy conversion systems. The proposed control has the advantage to suppress the performance deterioration caused by the overshooting phenomenon, and optimize the controller gains using the particle swarm optimization algorithm. The scheme of the speed controller is implemented on field orientation control in the generator side converter. A simulation of the proposed scheme is carried out in SIMULINK-MATLAB in order to evaluate the effectiveness of the control against the saturation and the parameter optimization.
Volume: 9
Issue: 3
Page: 1321-1329
Publish at: 2018-09-01

Adaptive Controllers for Enhancement of Stand-Alone Hybrid System Performance

10.11591/ijpeds.v9.i3.pp979-986
Yew Weng Kean , Agileswari Ramasamy , Shivashankar Sukumar , Marayati Marsadek
This paper presents a stand-alone hybrid renewable energy system (SHRES) consisting of solar photovoltaic (PV), wind turbine (WT) and battery energy storage (BES) in an effort reduce the dependence on fossil fuels. The renewable energy sources have individual inverters and the PV inverter of the SHRES is operated using active and reactive power control. The PV inverter have two main control structures which are active power control and reactive power control and each contain a proportional integral (PI) controller. Accurate control of the PV inverter’s active power is essential for PV curtailment applications. Thus, this paper aims to enhance the performance of the SHRES in this work by optimizing the performance of the PV inverter’s active power PI controller parameters through the design of adaptive controllers. Therefore, an adaptive controller and an optimized adaptive controller are proposed in this paper. The performances of the proposed controllers are evaluated by minimizing the objective function which is the integral of the time weighted absolute error (ITAE) criterion and this performance is then compared with a controller that is tuned by the traditional trial and error method. Simulation results showed that the optimized adaptive controller is better as it recorded an error improvement of 42.59%. The dynamic optimized adaptive controller is more adept at handling the fast changes of the SHRES operation.
Volume: 9
Issue: 3
Page: 979-986
Publish at: 2018-09-01

Comparison between Fuzzy Logic and PI Control for The Speed Of BLDC Motor

10.11591/ijpeds.v9.i3.pp1116-1123
Akram H. Ahmed , Abd El Samie B. Kotb , Ayman M. Ali
In this paper the analytical comparison of brushless DC (BLDC) motor drive with proportional integral (PI) and fuzzy logic controller (FLC) based speed controllers is estimated. Proportional integral (PI) has disadvantages like it do not operate properly when the system has a high degree of load disturbances. In recent years, the application of fuzzy logic controller (FLC) for high dynamic performance of motor drives has become an important tool. FLC is a good for load disturbances and can be easily implemented. The modeling and simulation of both the speed controllers have been made by MATLAB/SIMULINK. The dynamic characteristics of the BLDC motor (speed and torque) response, obtained under PI and Fuzzy logic based speed controller, are compared for various operating condition.
Volume: 9
Issue: 3
Page: 1116-1123
Publish at: 2018-09-01

An Improved Flexible Partial Histogram Bayes Learning Algorithm

10.11591/ijeecs.v11.i3.pp975-986
Haider O. Lawend , Anuar Muad , Aini Hussain
This paper presents a proposed supervised classification technique namely flexible partial histogram Bayes (fPHBayes) learning algorithm. In our previous work, partial histogram Bayes (PHBayes) learning algorithm showed some advantages in the aspects of speed and accuracy in classification tasks. However, its accuracy declines when dealing with small number of instances or when the class feature distributes in wide area. In this work, the proposed fPHBayes solves these limitations in order to increase the classification accuracy. fPHBayes was analyzed and compared with PHBayes and other standard learning algorithms like first nearest neighbor, nearest subclass mean, nearest class mean, naive Bayes and Gaussian mixture model classifier. The experiments were performed using both real data and synthetic data considering different number of instances and different variances of Gaussians. The results showed that fPHBayes is more accurate and flexible to deal with different number of instances and different variances of Gaussians as compared to PHBayes.
Volume: 11
Issue: 3
Page: 975-986
Publish at: 2018-09-01

Joint Fixed Power Allocation and Partial Relay Selection Schemes for Cooperative NOMA

10.12928/telkomnika.v16i5.9812
Thanh-Tien; Industrial University of Ho Chi Minh City Do , Dinh-Thuan; Ton Duc Thang University Do , Minh-Sang Van; Industrial University of Ho Chi Minh City Nguyen
 In the future wireless systems, non-orthogonal multiple-access (NOMA) with partial relay selection scheme is considered as developing research topic. In this paper, dual-hop relaying systems is deployed for NOMA, in which the signal is transfered with the assistance of decode-and-forward (DF) scheme. This paper presents exact expressions for outage probability over independent Rayleigh fading channels, and two partial relay selection schemes are provided. Using matching analytical result and Monte-Carlo method, we introduce forwarding strategy selection for fixed user allocation and exactness of derived formula is checked. The presented simulations confirm the the advantage of such considered NOMA, and the effectiveness of the proposed forwarding strategy.
Volume: 16
Issue: 5
Page: 1957-1965
Publish at: 2018-08-10

Feature Selection Approach based on Firefly Algorithm and Chi-square

10.11591/ijece.v8i4.pp2338-2350
Emad Mohamed Mashhour , Enas M. F. El Houby , Khaled Tawfik Wassif , Akram I. Salah
Dimensionality problem is a well-known challenging issue for most classifiers in which datasets have unbalanced number of samples and features. Features may contain unreliable data which may lead the classification process to produce undesirable results. Feature selection approach is considered a solution for this kind of problems. In this paperan enhanced firefly algorithm is proposed to serve as a feature selection solution for reducing dimensionality and picking the most informative features to be used in classification. The main purpose of the proposedmodel is to improve the classification accuracy through using the selected features produced from the model, thus classification errors will decrease. Modeling firefly in this research appears through simulating firefly position by cell chi-square value which is changed after every move, and simulating firefly intensity by calculating a set of different fitness functionsas a weight for each feature. K-nearest neighbor and Discriminant analysis are used as classifiers to test the proposed firefly algorithm in selecting features. Experimental results showed that the proposed enhanced algorithmbased on firefly algorithm with chi-square and different fitness functions can provide better results than others. Results showed that reduction of dataset is useful for gaining higher accuracy in classification.
Volume: 8
Issue: 4
Page: 2338-2350
Publish at: 2018-08-01

A Micro-Scale Cyclone-Wind Turbine for Rooftop Ventilator

10.11591/ijeecs.v11.i2.pp614-621
Unggul Wibawa , Akhmad Frandicahya Permadi , Rini Nur Hasanah
This paper analyzes the model of a cyclone-turbine for a micro-scale wind-power system being motivated by an idea to harvest the abandoned energy from rooftop ventilators. The system under consideration has been equipped with a battery to form a wind-battery power system. Data obtained from a wind site observation have been used to calculate the potentially generated power and efficiency, as well as the mechanical and electrical designs to extract the energy. The design has been explored to obtain the best efficiency of the cyclone-turbine model. The impact of wind-speed variation on the resulted system output has been investigated during the charging process of battery. The conclusion emphasizes the relationship between the output power and the range values of the resulted current and voltage, as well as the optimum wind speed-range of the cyclone-turbine operation.
Volume: 11
Issue: 2
Page: 614-621
Publish at: 2018-08-01
Show 1402 of 1983

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration