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31,456 Article Results

Chaotic based Pteropus algorithm for solving optimal reactive power problem

10.11591/ijaas.v9.i4.pp265-269
Lenin Kanagasabai
In this work, a Chaotic based Pteropus algorithm (CPA) has been proposed for solving optimal reactive power problem. Pteropus algorithm imitates deeds of the Pteropus. Normally Pteropus while flying it avoid obstacles by using sonar echoes, particularly utilize time delay. To the original Pteropus algorithm chaotic disturbance has been applied and the optimal capability of the algorithm has been improved in search of global solution. In order to augment the population diversity and prevent early convergence, adaptively chaotic disturbance is added at the time of stagnation. Furthermore exploration and exploitation capability of the proposed algorithm has been improved. Proposed CPA technique has been tested in standard IEEE 14,300 bus systems & real power loss has been considerably reduced.
Volume: 9
Issue: 4
Page: 265-269
Publish at: 2020-12-01

A mathematical model of movement in virtual reality through thoughts

10.11591/ijece.v10i6.pp6592-6597
Ivan Trenchev , Radoslav Mavrevski , Metodi Traykov , Ilire Zajmi–Rugova
In this article, we'll introduce ways to build virtual worlds through different computer programs. We will show the method of rectangles for analyzing data obtained from the electroencephalogram. We will demonstrate basic mathematical models for movement prediction in a system of virtual reality. Using this data, the main transformations are possible-change of position and rotation (change of orientation).
Volume: 10
Issue: 6
Page: 6592-6597
Publish at: 2020-12-01

Guiding principles and practices of peace education followed in secondary schools of Mizoram

10.11591/ijere.v9i4.20738
Lokanath Mishra , Tushar Gupta , Abha Shree
The significance of peace education is universally recognized for a safe and prospering future for the world at school level as peace education aims at equipping the future citizens with necessary knowledge, attitude and skills so that they would acknowledge and respect all kinds of diversity and understand human dignity. This paper is based on an empirical research aiming how far guiding principles and practices of peace education followed in secondary schools of Mizoram. The concept of peace education, guiding principles of peace education and practices on peace-related activities being followed in the secondary schools of Mizoram were explored. The study revealed that peace education was not being taught as a separate subject. Peace education component was infused in the existing curriculum and also was being taught through co-curricular and extra-curricular activities. Besides, teachers must reflect in their behavior all the guiding principles of peace. They should encourage the students for critical thinking, reasoning, develop awareness on societal problems and issues, broaden their outlook, concentrate on studies, and to be associated with various activities. In Mizoram, students’ unions and church organizations used to play a prominent role in shaping and moulding the character of the people starting from the early stage of life which ultimately benefits the society and the nation. However, in the context of rapid change in social structure and modernization process, there is need for inculcating the values of peace for which schools have to play important role.
Volume: 9
Issue: 4
Page: 1096-1101
Publish at: 2020-12-01

Software engineering based self-checking process for cyber security system in VANET

10.11591/ijece.v10i6.pp5844-5852
Muntadher Naeem Yasir , Muayad Sadik Croock
Newly, the cyber security of Vehicle Ad hoc Network (VANET) includes two practicable: Vehicle to Vehicle (V2V) and Vehicle to Infrastructure (V2I), that have been considered due to importance. It has become possible to keep pace with the development in the world. The people safety is a priority in the development of technology in general and particular in of VANET for police vehicles. In this paper, we propose a software engineering based self-checking process to ensure the high redundancy of the generated keys. These keys are used in underlying cyber security system for VANET. The proposed self-checking process emploies a set of NIST tests including frequency, block and runs as a threshold for accepting the generated keys. The introduced cyber security system includes three levels: Firstly, the registration phase that asks vehicles to register in the system, in which the network excludes the unregistered ones. In this phase, the proposed software engineeringbased self-checking process is adopted. Secondly, the authentication phase that checks of the vehicles after the registration phase. Thirdly, the proposed system that is able to detect the DOS attack. The obtained results show the efficient performance of the proposed system in managing the security of the VANET network. The self-checking process increased the randomness of the generated keys, in which the security factor is increased.
Volume: 10
Issue: 6
Page: 5844-5852
Publish at: 2020-12-01

An energy-efficient cluster head selection in wireless sensor network using grey wolf optimization algorithm

10.12928/telkomnika.v18i6.15199
Kaushik; Vignan Institute of Technology & Science Sekaran , R.; Vignan's Foundation for Science Rajakumar , K.; Vellore Institute of Technology Dinesh , Y.; Vignan's Foundation for Science Rajkumar , T. P.; Vignan's Foundation for Science Latchoumi , Seifedine; Beirut Arab University Kadry , Sangsoon; Sungkyul University Lim
Clustering is considered as one of the most prominent solutions to preserve theenergy in the wireless sensor networks. However, for optimal clustering, anenergy efficient cluster head selection is quite important. Improper selectionofcluster heads(CHs) consumes high energy compared to other sensor nodesdue to the transmission of data packets between the cluster members and thesink node. Thereby, it reduces the network lifetime and performance of thenetwork. In order to overcome the issues, we propose a novelcluster headselection approach usinggrey wolf optimization algorithm(GWO) namelyGWO-CH which considers the residual energy, intra-cluster and sink distance.In addition to that, we formulated an objective function and weight parametersfor anefficient cluster head selection and cluster formation. The proposedalgorithm is tested in different wireless sensor network scenarios by varyingthe number of sensor nodes and cluster heads. The observed results conveythat the proposed algorithm outperforms in terms of achieving better networkperformance compare to other algorithms.
Volume: 18
Issue: 6
Page: 2822-2833
Publish at: 2020-12-01

Distributed differential beamforming and power allocation for cooperative communication networks

10.11591/ijece.v10i6.pp5923-5931
Samer Alabed , Issam Maaz , Mohammad Al-Rabayah
Many coherent cooperative diversity techniques for wireless relay networks have recently been suggested to improve the overall system performance in terms of the achievable data rate or bit error rate (BER) with low decoding complexity and delay. However, these techniques require channel state information (CSI) at the transmitter side, at the receiver side, or at both sides. Therefore, due to the overhead associated with estimating CSI, distributed differential space-time coding techniques have been suggested to overcome this overhead by detecting the information symbols without requiring any (CSI) at any transmitting or receiving antenna. However, the latter techniques suffer from low performance in terms of BER as well as high latency and decoding complexity. In this paper, a distributed differential beamforming technique with power allocation is proposed to overcome all drawbacks associated with the later techniques without needing CSI at any antenna and to be used for cooperative communication networks. We prove through our analytical and simulation results that the proposed technique outperforms the state-of-the-art techniques in terms of BER with comparably low decoding complexity and latency.
Volume: 10
Issue: 6
Page: 5923-5931
Publish at: 2020-12-01

Reframing the effectiveness of feedback in improving teaching and learning achievement

10.11591/ijere.v9i4.20654
Anne Malar Selvaraj , Hazita Azman
Student feedback is established as an imperative learning and teaching technique, but feedback from students is less likely. The potential of feedback to boost learning outcomes refers to scholarly writing and is considered together as one of the most impressive methods for enhancing the success of students. In education, there is, nevertheless a lack of clarification about what feedback means and far less clarification on how one should interpret it. Feedback guides students to learn and supports them in order to achieve the aim of the lesson. The goal of this paper is to discuss teacherwritten reviews and obstacles to student feedback in order to recognise the usefulness of feedback in the education domain. Feedback from students illustrates the comprehensions, boundaries and features that knowledge should be compiled and employed to establish work or learning approach. The assessment study renders the appropriate feedback, and, in this manner, the students learn how to accomplish their learning goals. While feedback is not exclusively evaluated, these are the essential ingredients of making evaluation a mechanism for teachers’ and students’ future learning.
Volume: 9
Issue: 4
Page: 1055-1062
Publish at: 2020-12-01

Motion artifacts reduction in cardiac pulse signal acquired from video imaging

10.11591/ijece.v10i6.pp5687-5693
Murthad Al-Yoonus , Mustafa H. Alhabib , Mustafa Zuhaer Nayef Al-Dabagh , M. F. L. Abdullah
This study examines the possibility of remotely measuring the cardiac pulse activity of a patient, which could be an alternative technique to the classical method. This type of measurement is non-invasive. However, several limitations may deteriorate the accuracy of the results, including changes in ambient illumination, motion artifacts (MA) and other interferences that may occur through video recording. The paper in hand presents a new approach as a remedy for the aforementioned problem in cardiac pulse signals extracted from facial video recordings. Partitioning provides the basis for the presented MA reduction method; the acquired signals are partitioned into two sets for each second and every partition is shifted to the mean level and then all the partitions are recombined again into one signal, which is followed by low-pass filtering for enhancement. The proposed compared with ordinary pulse oximetry Photoplethysmographic (PPG) method. The resulted correlation coefficient was found (0.957) when calculated between the results of the proposed method and the ordinary one. Experiments were implemented using a common camera by creating a dataset from 11 subjects. The ease of implementation of this method with a simple that can be used to monitor the cardiac pulse rates in both home and the clinical environments.
Volume: 10
Issue: 6
Page: 5687-5693
Publish at: 2020-12-01

Optimal planning of RDGs in electrical distribution networks using hybrid SAPSO algorithm

10.11591/ijece.v10i6.pp6153-6163
Mohammed Hamouda Ali , Mohammed Mehanna , Elsaied Othman
The impact of the renewable distributed generations (RDGs), such as photovoltaic (PV) and wind turbine (WT) systems can be positive or negative on the system, based on the location and size of the DG. So, the correct location and size of DG in the distribution network remain an obstacle to achieving their full possible benefits. Therefore, the future distribution networks with the high penetration of DG power must be planned and operated to improve their efficiency. Thus, this paper presents a new methodology for integrated of renewable energy-based DG units with electrical distribution network. Since the main objective of the proposed methodology is to reduce the power losses and improve the voltage profile of the radial distribution system (RDS). In this regard, the optimization problem was formulated using loss sensitivity factor (LSF), simulated annealing (SA), particle swarm optimization (PSO) and a combination of loss sensitivity index (LSI) with SA & PSO (LSISA, LSIPSO) respectively. This paper contributes a new methodology SAPSO, which prevents the defects of SA & PSO. Optimal placement and sizing of renewable energy-based DG tested on 33-bus system. The results demonstrate the reliability and robustness of the proposed SAPSO algorithm to find the near-optimal position and size of the DG units to mitigate the power losses and improve the radial distribution system's voltage profile.
Volume: 10
Issue: 6
Page: 6153-6163
Publish at: 2020-12-01

Detection and classification of various pest attacks and infection on plants using RBPN with GA based PSO algorithm

10.11591/ijeecs.v20.i3.pp1278-1288
Kapilya Gangadharan , G. Rosline Nesa Kumari , D. Dhanasekaran , K. Malathi
Machine learning methodologies are commonly used in the field of precession farming. It prospects greatly in the plant safety measure like disease detection and classification of pest attacks. It highly influences the crop production and management. The venture of our system is to produce healthy plantation. The proposed system involves enhanced feature fractal texture analysis, Statistical feature selection and machine learning methodology for classification. Hence more than ever there is a need for such a tool that combines image processing methodologies and the neural network concepts and that is supported by huge cloud of structured data which makes the diagnosis and classification part much easier and convenient. The proposed system recognizes and classifies the plant taxonomy and the infection based on the selected statistical features. The neural network concept followed in our proposed system is focused on artificial neural network which uses recursive back propagation neural network to speed up the training process as well as reduce multiclass problem in the network and optimize the weights on hidden layers of the Network using Genetic algorithm based particle swarm optimization technique. We have used MATLAB to implement the concept and obtained better accuracy in disease/pest detection and proved to be an efficient method.
Volume: 20
Issue: 3
Page: 1278-1288
Publish at: 2020-12-01

Naïve Bayes and linear discriminate analysis based diagnostic analytic of harmonic source identification

10.11591/ijeecs.v20.i3.pp1626-1633
M. H Jopri , MR Ab Ghani , A.R Abdullah , Tole Sutikno , M Manap , J. Too
The diagnostic analytic type of harmonic source is a vital research due to diagnose and identify type of harmonic source that exist in the power system. This paper presents a comparison of machine learning (ML) algorithm namely as the Naïve Bayes (NB) and linear discriminate analysis (LDA) in identifying and diagnosing the harmonic sources.  The MLs inputs are the voltage and current feature sets that estimated from the time-frequency representation (TFR) of S-transform analysis. Four specific cases of harmonic source location are considered in this research, whereas harmonic voltage (HV) and harmonic current (HC) source type-load are used in the diagnosing process. The sufficiency of the proposed methodology is tested and verified on the IEEE 4-bust test feeder, and to prevent overfitting, the K-fold cross-validation technique is implemented for performance evaluation. To identify the best ML, the performance measurement consist of the accuracy, precision, geometric mean, F-measure, sensitivity, and specificity are conducted.
Volume: 20
Issue: 3
Page: 1626-1633
Publish at: 2020-12-01

Towards 5G millimeter-wave wireless networks: a comparative study on electro-optical upconversion techniques

10.11591/ijeecs.v20.i3.pp1471-1478
Nael A. Al-Shareefi , Jaafar A. Aldhaibaini , Sura Adil Abbas , Hadeel S. Obaid
Fifth-generation (5G) wireless networks that use the MM−W hold a great promise to revolutionize wireless industry. However, the difficulty in generating and transmitting these high‐frequency signals in the electrical-domain due to bandwidth limitation of electronic components, and high absorption loss limits current applications. Consequently, ptical generation and transmission of MM-W signals are a viable option. In this paper, a comparative study is carried out on three electro-optical upconversion (EOU) techniques to generate 60-GHz MM-W signal, namely 4-tupling, 6-tupling and 8-tupling. The paper briefly describes the three techniques and analyses the optical harmonic distortion suppression ratio (OHDSR) and electrical spurious suppression ratio (ESSR) generated by each one of the techniques. OHDSR and ESSR have been compared to show the trade-off between the techniques. In addition, the paper compares the implementation of non−ideal phase shifting on OHDSR for the three EOU techniques. Finally, the performance of the three EOU techniques after transmission over optical fiber is evaluated by quality factor (Q-factor) and eye pattern test. The results of the simulation illustrate well the benefits of the performed study and confirm that the 4-tupling constitutes a cost-effective technique to generate MM-W signals.
Volume: 20
Issue: 3
Page: 1471-1478
Publish at: 2020-12-01

Power saving and optimal hybrid precoding in millimeter wave massive MIMO systems for 5G

10.12928/telkomnika.v18i6.15952
Abdul Haq; REVA University Nalband , Mrinal; REVA University Sarvagy , Mohammed Riyaz; REVA University Ahmed
The proliferation of wireless services emerging from use cases offifth-generation(5G) technology is posing many challenges on cellular communicationinfrastructure. They demand to connect a massive number of devices withenhanced data rates. The massive multiple-input multiple-output (MIMO)technology at millimeter-wave (mmWave) in combination with hybrid precodingemerges as a concrete tool to address the requirements of 5G networkdevelopments. But Massive MIMO systems consume significant power fornetwork operations. Hence the prior role is to improve the energy efficiency byreducing the power consumption. This paper presents the power optimizationmodels for massive MIMO systems considering perfect channel state information(CSI) and imperfect CSI. Further, this work proposes an optimal hybrid precodingsolution named extended simultaneous orthogonal matchingpursuit (ESOMP).Simulation results reveal that a constant sum-rate can be achieved in massiveMIMO systems while significantly reducing the power consumption. Theproposed extended SOMPhybrid precoder performsclose to the conventionaldigital beamforming method. Further, modulation schemes compatible withmassive MIMO systems are outlined and their bit error rate (BER) performance isinvestigated
Volume: 18
Issue: 6
Page: 2842-2851
Publish at: 2020-12-01

Improved anti-noise attack ability of image encryption algorithm using de-noising technique

10.12928/telkomnika.v18i6.16384
Mohanad Najm; University of Technology Abdulwahed , Ali Kamil; University of Technology Ahmed
Information security is considered as one of the important issues in the information age used to preserve the secret information through out transmissions in practical applications. With regard to image encryption, a lot of schemes related to information security were applied. Such approaches might be categorized into 2 domains; domain frequency and domain spatial. The presented work develops an encryption technique on the basis of conventional watermarking system with the use of singular value decomposition (SVD), discrete cosine transform (DCT), and discrete wavelet transform (DWT) together, the suggested DWT-DCT-SVD method has high robustness in comparison to the other conventional approaches and enhanced approach for having high robustness against Gaussian noise attacks with using denoising approach according to DWT. MSE in addition to the peak signal-to-noise ratio (PSNR) specified the performance measures which are the base of this study’s results, as they are showing that the algorithm utilized in this study has high robustness against Gaussian noise attacks.
Volume: 18
Issue: 6
Page: 3080-3087
Publish at: 2020-12-01

Power loss reduction by gryllidae optimization algorithm

10.11591/ijict.v9i3.pp179-184
Kanagasabai Lenin
This paper projects Gryllidae Optimization Algorithm (GOA) has been applied to solve optimal reactive power problem. Proposed GOA approach is based on the chirping characteristics of Gryllidae. In common, male Gryllidae chirp, on the other hand some female Gryllidae also do as well. Male Gryllidae draw the females by this sound which they produce. Moreover, they caution the other Gryllidae against dangers with this sound. The hearing organs of the Gryllidae are housed in an expansion of their forelegs. Through this, they bias to the produced fluttering sounds. Proposed Gryllidae Optimization Algorithm (GOA) has been tested in standard IEEE 14, 30 bus test systems and simulation results show that the projected algorithms reduced the real power loss considerably.
Volume: 9
Issue: 3
Page: 179-184
Publish at: 2020-12-01
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