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31,377 Article Results

Robot navigation in unknown environment with obstacle recognition using laser sensor

10.11591/ijece.v9i3.pp1773-1779
Neerendra Kumar , Zoltán Vámossy
Robot navigation in unknown and dynamic environments may result in aimless wandering, corner traps and repetitive path loops. To address these issues, this paper presents the solution by comparing the standard deviation of the distance ranges of the obstacles appeared in the robot navigation path. For the similar obstacles, The standard deviations of distance range vectors, obtained from the laser range finder sensor of the robot at similar pose, are very close to each other. Therefore, the measurements of odometer sensor are also combined with the standard deviation to recognize the location of the obstacles. A novel algorithm, with obstacle detection feature, is presented for robot navigation in unknown and dynamic environments. The algorithm checks the similarity of the distance range vectors of the obstacles in the path and uses this information in combination with the odometer measurements to identify the obstacles and their locations. The experimental work is carried out using Gazebo simulator.
Volume: 9
Issue: 3
Page: 1773-1779
Publish at: 2019-06-01

Community detection of political blogs network based on structure-attribute graph clustering model

10.11591/ijece.v9i3.pp2121-2130
Ahmed F. Al-Mukhtar , Eman S. Al-shamery
Complex networks provide means to represent different kinds of networks with multiple features. Most biological, sensor and social networks can be represented as a graph depending on the pattern of connections among their elements. The goal of the graph clustering is to divide a large graph into many clusters based on various similarity criteria’s. Political blogs as standard social dataset network, in which it can be considered as blog-blog connection, where each node has political learning beside other attributes. The main objective of work is to introduce a graph clustering method in social network analysis. The proposed Structure-Attribute Similarity (SAS-Cluster) able to detect structures of community, based on nodes similarities. The method combines topological structure with multiple characteristics of nodes, to earn the ultimate similarity. The proposed method is evaluated using well-known evaluation measures, Density, and Entropy. Finally, the presented method was compared with the state-of-art comparative method, and the results show that the proposed method is superior to the comparative method according to the evaluations measures.
Volume: 9
Issue: 3
Page: 2121-2130
Publish at: 2019-06-01

Dimmer and neon transformer as a power controllable generator for atmospheric pressure plasma jet

10.11591/ijpeds.v10.i2.pp594-601
Rosnah Mohd Zin , Chin Fhong Soon , Nadhia Mohd Yusof , Elfa Rizan Rizon , Kian Sek Tee , Mohd Khairul Ahmad , Nafarizal Nayan
The feasibility of a dimmer and neon transformer to provide power control to the atmospheric pressure plasma jet (APPJ) is presented in this paper. The standard neon transformer was previously shown applicable to power up a plasma torch to generate plasma irradiation of an APPJ at 8.64kv and 35kHz. However, the plasma emission is not controllable. In this study, a lamp dimmer was proposed to function as a power controller to the neon transformer which drives the generation of plasma and discharged with argon gas. With the dimmer output voltage adjustable from 60 - 220V, the power and current of the dimmer were variable from 8.4 to 83.6 W and 0.08 and 0.38 A, respectively. The temperature measured at the quartz tube and sample exposure site were less than 50oC suggested that the APPJ produced were non-thermal. A simple test by exposing plasma plume to a leaf sample showed that the plasma produced were non-damaging to the leaf. This portable system can provide control to the APPJ and applicable for bioengineering studies. 
Volume: 10
Issue: 2
Page: 594-601
Publish at: 2019-06-01

Prediction of Answer Keywords using Char-RNN

10.11591/ijece.v9i3.pp2164-2176
Pratheek I , Joy Paulose
Generating sequences of characters using a Recurrent Neural Network (RNN) is a tried and tested method for creating unique and context aware words, and is fundamental in Natural Language Processing tasks. These type of Neural Networks can also be used a question-answering system. The main drawback of most of these systems is that they work from a factoid database of information, and when queried about new and current information, the responses are usually bleak. In this paper, the author proposes a novel approach to finding answer keywords from a given body of news text or headline, based on the query that was asked, where the query would be of the nature of current affairs or recent news, with the use of Gated Recurrent Unit (GRU) variant of RNNs. Thus, this ensures that the answers provided are relevant to the content of query that was put forth.
Volume: 9
Issue: 3
Page: 2164-2176
Publish at: 2019-06-01

DTC hybrid by different techniques of observation with Artificial Neuronal Network (ANN) for induction machine drives

10.11591/ijpeds.v10.i2.pp697-708
Dris Ahmed , Mokhtar Bendjebbar , Aek Belaidi
In this article, we present the construction of observers of rotor flux and mechanical speed needed for robust control of the induction machine. Two observers will be developed for comparison. The first is based on the techniques MRAS and the second is observer of KUBOTA, with the enhanced DTC-ANN (by artificial intelligence), "sensorless DTC-ANN". The validity of the proposed methods is confirmed by the simulation results. Through this comparative study we examine each observer in terms of characteristics that distinguish him from the other through these estimated value and error of estimation (flux and the speed of rotation) on the one hand, and on the other hand we study a property of great importance in the control and the response and robustness of the observer for very low speeds.In my work I concentrate this on the observer of KUBOTA because I noticed that during my research in the previous research and research there is very little and no detail even in terms of mathematical model in addition to the form of comparative study between him and the observer of MRAS in terms of the principle of control, accuracy, sensitivity and special response to low speeds and error In observation.The THD (Total Harmonic Distortion) of stator current, torque ripple and stator flux ripple are determined and compared with conventional DTC control scheme using Matlab/Simulink environment.
Volume: 10
Issue: 2
Page: 697-708
Publish at: 2019-06-01

Evaluation of earth fault location algorithm in medium voltage distribution network with correction technique

10.11591/ijece.v9i3.pp1987-1996
N. S. B. Jamili , M. R. Adzman , S. R. A. Rahim , S. M. Zali , M. Isa , H. Hanafi
This paper focused on studying an algorithm of earth fault location in the medium voltage distribution network. In power system network, most of the earth fault occurs is a single line to ground fault. A medium voltage distribution network with resistance earthing at the main substation and an earth fault attached along the distribution network is modeled in ATP Draw. The generated earth fault is simulated, and the voltage and current signal produced is recorded. The earth fault location algorithm is simulated and tested in MATLAB. The accuracy of the earth fault location algorithm is tested at several locations and fault resistances. A possible correction technique is explained to minimize the error. The results show an improvement fault location distance estimation with minimum error.
Volume: 9
Issue: 3
Page: 1987-1996
Publish at: 2019-06-01

Optimum range of angle tracking radars: a theoretical computing

10.11591/ijece.v9i3.pp1765-1772
Sadegh Samadi , Mohammad Reza Khosravi , Jafar A. Alzubi , Omar A. Alzubi , Varun G. Menon
In this paper, we determine an optimal range for angle tracking radars (ATRs) based on evaluating the standard deviation of all kinds of errors in a tracking system. In the past, this optimal range has often been computed by the simulation of the total error components; however, we are going to introduce a closed form for this computation which allows us to obtain the optimal range directly. Thus, for this purpose, we firstly solve an optimization problem to achieve the closed form of the optimal range (Ropt.) and then, we compute it by doing a simple simulation. The results show that both theoretical and simulation-based computations are similar to each other.
Volume: 9
Issue: 3
Page: 1765-1772
Publish at: 2019-06-01

A comparative study and experimental validation on single phase series active power filter control strategies using pi, flc and sliding mode controllers

10.11591/ijpeds.v10.i2.pp731-743
Abdallah Ben Abdelkader , Othmane Abdelkhalek , Ismail Khalil Bousserhane , Mohamed Amine Hartani , Aymen Omari
Sensitive loads are widely used in industrial, which is the main cause of sag-swell and harmonics voltages problems that can affect the power quality. Among the devices that solve such power quality perturbations, the series active power Filter APFS is considered in this paper. Thus, a single phase APFS is developed through an analytic analysis, supported by an experimental validation, where we applied classical proportional integrator PI, fuzzy logic FLC and sliding mode SM controllers to improve the dynamic response of the APFS. In addition, a comparative study between these control strategies has made in order to mitigate voltage sag-swell and especially harmonics, where the SMC has showed more effective and robust results compared to PI and FLC and proved by the Total harmonic distortion THD ratio. Results of the proposed controllers are simulated in MATLAB simulink® and validated through experimental tests applied on our system prototype.
Volume: 10
Issue: 2
Page: 731-743
Publish at: 2019-06-01

Building student’s performance decision tree classifier using boosting algorithm

10.11591/ijeecs.v14.i3.pp1298-1304
Farid Jauhari , Ahmad Afif Supianto
Student’s performance is the most important value of the educational institutes for their competitiveness. In order to improve the value, they need to predict student’s performance, so they can give special treatment to the student that predicted as low performer. In this paper, we propose 3 boosting algorithms (C5.0, adaBoost.M1, and adaBoost.SAMME) to build the classifier for predicting student’s performance. This research used 1UCI student performance datasets. There are 3 scenarios of evaluation, the first scenario was employ 10-fold cross-validation to compare performance of boosting algorithms. The result of first scenario showed that adaBoost.SAMME and adaBoost.M1 outperform baseline method in binary classification. The second scenario was used to evaluate boosting algorithms under different number of training data. On the second scenario, adaBoost.M1 was outperformed another boosting algorithms and baseline method on the binary classification. As third scenario, we build models from one subject dataset and test using onother subject dataset. The third scenario results indicate that it can build prediction model using one subject to predict another subject.
Volume: 14
Issue: 3
Page: 1298-1304
Publish at: 2019-06-01

Parallel hybrid chicken swarm optimization for solving the quadratic assignment problem

10.11591/ijece.v9i3.pp2064-2074
Soukaina Cherif Bourki Semlali , Mohammed Essaid Riffi , Fayçal Chebihi
In this research, we intend to suggest a new method based on a parallel hybrid chicken swarm optimization (PHCSO) by integrating the constructive procedure of GRASP and an effective modified version of Tabu search. In this vein, the goal of this adaptation is straightforward about the fact of preventing the stagnation of the research. Furthermore, the proposed contribution looks at providing an optimal trade-off between the two key components of bio-inspired metaheuristics: local intensification and global diversification, which affect the efficiency of our proposed algorithm and the choice of the dependent parameters. Moreover, the pragmatic results of exhaustive experiments were promising while applying our algorithm on diverse QAPLIB instances . Finally, we briefly highlight perspectives for further research.
Volume: 9
Issue: 3
Page: 2064-2074
Publish at: 2019-06-01

Morphology and magnetic properties of lanthanum (La3+) substituted manganese, chromium nano ferrites

10.11591/ijpeds.v10.i2.pp1102-1109
Hayder Abdulameer Abbas , Adnan Hussein Ali , Ban Mohammad Hasan
Several studies have been carried out to investigate the effect of Lanthanum (La3+) ion substitution on the structural and magnetic properties of manganese-chromium (Mn-Cr) ferrite of chemical formula Mn LaxCr Fe2O4(x=0.0, 0.25 and 0.5). Such studies have made efforts to improve the magnetic and structural properties of manganese-chromium (Mn-Cr) ferrite by using lanthanum substituted nano ferrites and then synthesized using the sol-gel method and annealed at a temperature of 700oC. The changes that occurred in the structure of the nano ferrites as a result of lanthanum substitution were identified using X-ray diffraction (XRD). Based on Debye-Scherrer equation, the XRD data were used in measuring the particle sizes of different diffraction and average crystallite size by means of Fourier Transform infrared spectroscopy (FTIR). In analyzing the morphology of the nano ferrites, scanning electron microscopy (SEM) was used, elemental compassion was studied using energy dispersive X-ray spectroscopy (EDAX), and the average particle diameter was determined using Transmission electron microscopy (TEM) studies. FTIR spectral analysis of the prepared samples under investigations revealed the formation of a single phase spherical particles. Two important absorption bands were observed; one (ν1) around 556 cm-1, which is attributed to the intrinsic vibrations of tetrahedral complexes, while the other low frequency band (ν2) was around 430 cm-1, and attributed to octahedral complexes.
Volume: 10
Issue: 2
Page: 1102-1109
Publish at: 2019-06-01

A review of remotely sensed satellite image classification

10.11591/ijece.v9i3.pp1720-1731
Sakshi Dhingra , Dharminder Kumar
Satellite image classification has a vital role for the extraction and analysis of the useful satellite image information. This paper comprises the study of the satellite images classification and Remote Sensing along with a brief overview of the previous studies that are proposed in this field. In this paper, the existing work has been explained utilizing the classification techniques on satellite images of Alwar region in India that covers decent land cover features like Vegetation, Water, Urban, Barren, and Rocky regions. The post- implementation of the classification algorithms, the classified image is obtained displaying different classes that are represented by different colours. Each feature is represented by a different colour and can be easily perceived from the image obtained after classification. The focus of this study is on enhancing the classification accuracy by using proper classifiers along with the novel feature extraction techniques and pre-processing steps. Work of different authors is being discussed in a tabular form defining the methods and outcomes of the respective studies.
Volume: 9
Issue: 3
Page: 1720-1731
Publish at: 2019-06-01

Tchebichef image watermarking along the edge using YCoCg-R color space for copyright protection

10.11591/ijece.v9i3.pp1850-1860
Ferda Ernawan
Easy creation and manipulation of digital images present the potential danger of counterfeiting and forgery. Watermarking technique which embeds a watermark into the images can be used to overcome these problems and to provide copyright protection. Digital image watermarking should meet requirements, e.g. maintain image quality, difficult to remove the watermark, quality of watermark extraction, and applicable. This research proposes Tchebichef watermarking along the edge based on YCoCg-R color space. The embedding region is selected by considering the human visual characteristics (HVC) entropy. The selected blocks with minimum of HVC entropy values are transformed by Tchebichef moments. The locations of C(0,1), C(1,0), C(0,2) and C(2,0) of the matrix moment are randomly embedded for each watermark bit. The proposed watermarking scheme produces a good imperceptibility by average SSIM value around 0.98. The watermark recovery has greater resistant after several types of attack than other schemes.
Volume: 9
Issue: 3
Page: 1850-1860
Publish at: 2019-06-01

Analysis the effect of reflector (flat mirror, convex mirror, and concave mirror) on solar panel

10.11591/ijpeds.v10.i2.pp943-952
Yahot Siahaan , Hartono Siswono
At the time of the sun a straight line with solar cells may not necessarily produce the maximum output. Various ways continue to be done in order to get the maximum output. The maximum utilization of output from solar cells will accelerate the function of the solar cell. The use of reflectors is an excellent way to maximum output with effective time. The author will analyze solar cells with flat mirror, convex mirror, concave mirror, and without reflector. Each reflector is given varying treatment by calibrating the angle of the reflector to the solar cell by 60o, 90o, and 120o. After testing and data retrieval turns reflector very influential on the output of solar cells. The solar cell output power increases with each different reflector. Maximum output is obtained in a concave mirror with an angle is 90o.
Volume: 10
Issue: 2
Page: 943-952
Publish at: 2019-06-01

A three phase photovoltaic grid tied inverter system control based on t-s fuzzy equalization

10.11591/ijpeds.v10.i2.pp928-934
Jameel Kaduim Abed
This paper proposed a Takagi-Sugeno fuzzy control method is used to build the model for current controlled of three phase photovoltaic inverter. The three phase inverter connected to grid with L filter. The DC link capacitor is splatted midpoint of three phase four wire and the DC link voltage in the input side of the inverter is considered as input variables value for maximum value of the reference current for the feedback controlled. The proposed of T-S fuzzy control method and hysteresis current control can solve and enhance the THD of the output current of the inverter. The T-S fuzzy is designed to monochrome controller makes the output currents are balanced and decrease the harmonic compensation of the full system. The Matlab simulations and test results show the THD, current and the voltage of the three photovoltaic inverter under T-S fuzzy controller method is current balancing efficiency. The control unit is capable of carrying out operation in good condition, dynamic characteristics stable and high quality.
Volume: 10
Issue: 2
Page: 928-934
Publish at: 2019-06-01
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