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29,922 Article Results

Integrated bio-search approaches with multi-objective algorithms for optimization and classification problem

10.12928/telkomnika.v18i5.15141
Mohammad Aizat; Universiti Malaysia Terengganu Basir , Mohamed Saifullah; Universiti Malaysia Terengganu (UMT) Hussin , Yuhanis; Universiti Utara Malaysia Yusof
Optimal selection of features is very difficult and crucial to achieve, particularly for the task of classification. It is due to the traditional method of selecting features that function independently and generated the collection of irrelevant features, which therefore affects the quality of the accuracy of the classification. The goal of this paper is to leverage the potential of bio-inspired search algorithms, together with wrapper, in optimizing multi-objective algorithms, namely ENORA and NSGA-II to generate an optimal set of features. The main steps are to idealize the combination of ENORA and NSGA-II with suitable bio-search algorithms where multiple subset generation has been implemented. The next step is to validate the optimum feature set by conducting a subset evaluation. Eight (8) comparison datasets of various sizes have been deliberately selected to be checked. Results shown that the ideal combination of multi-objective algorithms, namely ENORA and NSGA-II, with the selected bio-inspired search algorithm is promising to achieve a better optimal solution (i.e. a best features with higher classification accuracy) for the selected datasets. This discovery implies that the ability of bio-inspired wrapper/filtered system algorithms will boost the efficiency of ENORA and NSGA-II for the task of selecting and classifying features.
Volume: 18
Issue: 5
Page: 2421-2431
Publish at: 2020-10-01

Transmission spectra of single ring coupled-waveguide resonator configuration by finite difference time domain method

10.12928/telkomnika.v18i5.12621
Haryana bin Mohd; Universiti Teknologi MARA Hairi , Saktioto; Universitas Riau Saktioto , Romi Fadli; Universitas Riau Syahputra , Okfalisa; Universitas Islam Negeri Sultan Syarif Kasim Okfalisa , Sofia; Universitas Riau Anita
Development of optical waveguide resonators have greatly expanded and continues to grow since they have kinds potential applications such as wavelength filtering, switching, coupling and multiplexing. One of resonators, coupled waveguides, ring resonators are designed and operated using various coupling configurations. Ring resonators can be particularly used as wavelength filter if the wavelength can fit a whole multiple time in the circumference of the ring. This article proposes to investigate the transmission spectra from the power source and amplify it in linearized ring resonator configurations and varies the input amplitude on five different wavelengths. With finite difference time domain method, the geometry and power source are simulated to obtain the better result and configuration. The results show the intensity phenomena of filtering in optical circuit.
Volume: 18
Issue: 5
Page: 2251-2256
Publish at: 2020-10-01

A new eliminating EOG artifacts technique using combined decomposition methods with CCA and H.P.F. techniques

10.12928/telkomnika.v18i5.14143
Fadia Noori Hummadi; University of Baghdad Al-Nuaimy
Normally, the collected EEG signals from the human scalp cortex by using the non-invasive EEG collection methods were contaminated with artifacts, like an eye electrical activity, leading to increases in the challenges in analyzing the electroencephalogram for obtaining useful clinical information. In this paper, we do a comparison of using two decomposing methods (DWT and EMD) with CCA technique or High Pass Filter, for the elimination of eye artifacts from EEG. The eye artifacts (EOG) signals were extracted from the un-cleaned or raw EEG signals by DWT and EMD with CCA approach or H.P.F. The root means square error ratio of the uncontaminated EEG signal to the contaminated EEG signal with eye artifacts were the performance indicators for both elimination methods, which indicate that the combined CCA method outperforms the combined H.P.F method in the elimination of eye blinking contamination artifact from the EEG signal.
Volume: 18
Issue: 5
Page: 2580-2586
Publish at: 2020-10-01

Coplanar waveguide low pass filter based on square complementary split ring resonator with wide rejection

10.12928/telkomnika.v18i5.15862
Mohammed; University Hasan I Bendaoued , Rachid; University Hasan I Mandry , Larbi El; University Hasan I Abdellaoui , Aytouna; Abdelmalek Essaadi University Fouad , Mohamed; IETR Rennes Latrach , Ahmed; University of Quebec in Outaouais Lakhssassi
In this paper, we present a novel coplanar waveguide low pass filter (LPF)structure based on the use of square complementary split ring resonators (CSRRs) in order to enhance the performances of a low pass filter. Especially, to enlarge the bandwidth of the LPF, the insertion losses and to increase the rejection of the LPF. The CSRRs are optimised and inserted periodically along the center conductor of the CPW line with a CPW ground integrating stubs permitting to enlarge the bandwidth. The simulation results of this filter show a -3 dB cut-off frequency equal to fc = 5.28 GHz. The designed filter has a good rejection in the stop band which below -20 dB and presents a good insertion loss in the bandwidth. The proposed filter has been fabricated and tested which give a good agreement between simulation and measurement results, the whole dimensions of the validated filter are 35.48x21.16 mm2. The originality of this work is the wide rejection band and the miniature dimensions.
Volume: 18
Issue: 5
Page: 2314-2319
Publish at: 2020-10-01

Towards IR4.0 implementation in e-manufacturing: artificial intelligence application in steel plate fault detection

10.11591/ijeecs.v20.i1.pp430-436
Adeleke Abdullahi , Noor Azah Samsudin , Mohd Rasidi Ibrahim , Muhammad Syariff Aripin , Shamsul Kamal Ahmad Khalid , Zulaiha Ali Othman
Fault detection is the task of discovering patterns of a certain fault in industrial manufacturing. Early detection of fault is an essential task in industrial manufacturing. Traditionally, faults are detected by human experts. However, this method suffers from cost and time. In this era of Industrial revolution IR 4.0, machine learning (ML) methods and techniques are developed to solve fault detection problem. In this study, three standard ML models: LR, NB, and SVM are developed for the classification problem. The experimental dataset used in this study consists of steel plates faults. The dataset is retrieved from UCI machine learning repository. Three standard evaluation methods: accuracy, precision, and recall are validated on the classification models. Logistic regression (LR) model achieved the highest accuracy and precision scores of 94.5% and 0.756 respectively. In addition, the SVM model had the highest recall score of 0.317. The results showed the significant impact of AI/ML approach in steel plates fault diagnosis problem. 
Volume: 20
Issue: 1
Page: 430-436
Publish at: 2020-10-01

Modeling and control of double star induction machine by active disturbance rejection control

10.12928/telkomnika.v18i5.14377
Aichetoune; Mohammed V University Oumar , Rachid; Laboratory of Innovation in Management and Engineering for Enterprise (LIMITE) Chakib , Mohamed; Mohammed V University Cherkaoui
This paper aims to contribute to the modeling and control of the double star induction machine (DSIM) by a robust method called active disturbance rejection control (ADRC). The ADRC has become in the last decade one of the most important techniques of regulation. This method is based on the use of an ESO (Extended State Observer) which estimates in real-time and at the same time the external disturbances and the errors due to the variations of the parameters of the machine and to the uncertainties of modeling. The two stators of DSIM are powered by three-phase inverters based on transistors and MLI control and the entire system is modeled in Park's reference. We analyze in the Matlab/Simulink environment the dynamic behavior of the system and the different ADRC controllers under different operating conditions. The result has demonstrated the performance and effectiveness of the ADRC.
Volume: 18
Issue: 5
Page: 2718-2728
Publish at: 2020-10-01

Mobile learning architecture using fog computing and adaptive data streaming

10.12928/telkomnika.v18i5.16712
Shymaa; Institute of Informatics for Postgraduate Studiesc Iraqi Commission for Computers and Informatics Mohammed Jameel , Muayad Sadik; University of Technology Croock
With the huge development in mobile and network fields, sensor technologies and fog computing help the students for more effective learning, flexible and in and effective manner from anywhere. Using the mobile device for learn encourage the transition to mobile computing (cloud and fog computing) which is led to the ability to design customized system that help student to learn via context aware learning which can be done by set the user preference and use proper methods to show only related manner subject. The presented study works on developing a system of e-learning which has been on the basis of fog computing concepts with deep learning approaches utilized for classification to the data content for accomplishing the context aware learning and use the adaptation of video quality using special equation and the data encrypted and decrypted using 3DES algorithm to ensure the security side of the operation.
Volume: 18
Issue: 5
Page: 2454-2462
Publish at: 2020-10-01

The options in remote phosphor structure for better white LEDs color quality

10.12928/telkomnika.v18i5.13526
Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology Loan , Nguyen Doan Quoc; Ton Duc Thang University Anh
The WLEDs configuration with remote phosphor layers has higher luminescent performance than WLEDs with dispense coating or conformal coating and is applied for many modern devices. However, managing the chromatic performance of lighting structure with remote phosphor materials is a challenging objective that demands more research. This has inspired the usage of multi phosphor configurations with distance in between the layers to improve color quality. The results of this manuscript can support the manufacturers in choosing the optimal configuration for optical performance in LEDs devices with more than one phosphor material. The simulated model used in the experments is 6500 K CCT WLEDs, which results show the triple-layers structure is more favorable in terms of color quality and light output. Besides, a notable reduction occurs in color deviation means that chromatic stability is also enhanced in WLEDs with three phosphor layers. Through experimental results, which were confirmed by the Mie-scattering theory, this research offers valuable approach and details to produce better WLEDs.
Volume: 18
Issue: 5
Page: 2606-2611
Publish at: 2020-10-01

Distributed gateway-based load balancing in software defined network

10.12928/telkomnika.v18i5.14851
Halimah; Telkom University Tussyadiah , Ridha Muldina; Telkom University Negara , Danu Dwi; Telkom University Sanjoyo
To achieve an internet with high availability and reliability, needs two or more data paths so the process for sending data can be faster. Load balancing is often plays a significant role for this technique to properly utilized every gateway in the network. This research, implemented load balancing in software defined network architecture using floodlight controller. Evaluation is done by measuring QoS (delay, bit rate, packet rate, packet success rate) while sending various traffics through the network such as UDP Flow, VoIP, and DNS. Performance of load balancer is work well, because the results after load balancing is better than before. Which is the value of delay after load balancing is decreased about 30-55% compared to before load balancing, also the values of bit rate, packet rate dan packet success rate after load balancing is increased about 10-30% compared to before load balancing.
Volume: 18
Issue: 5
Page: 2352-2361
Publish at: 2020-10-01

Filtering and analyzing normal and abnormal electromyogram signals

10.11591/ijeecs.v20.i1.pp176-184
S. Elouaham , A. Dliou , Mostafa Laaboubi , R. Latif , N. Elkamoun , H. Zougagh
The electromyogram (EMG) is an important measurement to assess the health of muscles and the nerve cells that control them. The appearance of noise in electromyography (EMG) signals may unquestionably minimize the efficiency of the analysis of the signal. The denoising techniques are inevitable for minimizing noise affecting the EMG signals; these methods are complete ensemble empirical mode decompositions with adaptive noise (CEEMDAN) and the ensemble empirical mode decomposition (EEMD). After that, we analyze these signals by time-frequency techniques as Adaptive optimal kernel (AOK) and Choi-Williams. Firstly, the obtained results illustrate the effectiveness of the CEEMDAN that permits reducing noise that interferes with normal and abnormal EMG signals with higher resolution than other techniques used as EEMD. Secondly, they show that the AOK technique is adapted to the detection and classification of these types of normal and abnormal EMG signals by the good localization of the motor unit action potentials (MUAPs) in the time-frequency plan. This paper shows the efficiency of the combination of the AOK and CEEMDAN techniques in analyzing the EMG signals. 
Volume: 20
Issue: 1
Page: 176-184
Publish at: 2020-10-01

Performance analysis of millimeter wave 5G networks for outdoor environment: propagation perspectives

10.11591/ijeecs.v20.i1.pp214-221
Naser Al-Falahy , Mohammed AlMahamdy , Ali M. Mahmood
To cope with the massive growth in global mobile data traffic for 2020 and beyond, the fifth generation (5G) system is required to be developed as the current 4G system is expected to fall short behind the provision of such growth. 5G systems is anticipated to use millimeter wave (mm-wave) frequency bands (20 to 90) GHz, due to the availability of wide chunk of unexploited bandwidth. This is revolutionary step to use these bands because of their very different propagation conditions, atmospheric absorption and hardware constraints. However, such challenges could be compensated by means of beamforming/beamsteering and larger antenna array. In this paper, a comparative study aided with ray-tracing simulation has been performed to assess the feasibility of mm-wave in 5G system. Propagation characteristics of the 28GHz and 73 GHz bands have been studied and compared in a street canyon outdoor environment to simulate 5G outdoor mobile access. Simulation results were shown along with their comparison for both of the aforementioned frequencies. The results of propagation comparison have been reported in terms of path loss, k-factor, delay spread and received power for both 28 and 73 GHz bands.
Volume: 20
Issue: 1
Page: 214-221
Publish at: 2020-10-01

Intercept probability analysis in DF time switching full-duplex relaying network with impact of Co-channel interference at the eavesdropper

10.12928/telkomnika.v18i5.13861
Pham Minh; Industrial University of Ho Chi Minh City Nam , Phu Tran; Ton Duc Thang University Tin , Minh; Ton Duc Thang University Tran
In this research, we propose and investigate intercept probability analysis in DF time switching relaying full-duplex with impact of Co-channel interference at the eavesdropper. In the beginning stage, we present the DF time switching relaying full-duplex with the Impact of Co-channel interference at the eavesdropper. Furthermore, the closed-form expression of the intercept probability (IP) is analyzed and derived in connection with the primary system parameters. Finally, the Monte Carlo simulation is performed for verifying the correctness of the analytical section. From the research results, a novel solution and some recommendations can be proposed for the communication network in the near future.
Volume: 18
Issue: 5
Page: 2335-2340
Publish at: 2020-10-01

The impact of gamification on students learning engagement

10.11591/ijece.v10i5.pp4965-4972
Firas Layth Khaleel , Noraidah Sahari Ashaari , Tengku Siti Meriam Tengku Wook
Gamification is to use game elements in a non-game context to increase engagement between human and computer, on the other hand, to encourage in-demand for good behaviors in learning. This research tried to increase student engagements in learning by conducted Gamification technique especially in difficult subjects such as Programming Language courses. The previous work was shown that students dropped, failed, or withdrew from the course at rates of between 35% and 50%. Therefore the main objective of this study is to increase student engagements in learning programming subject, and also to measure the impact of game elements on student’s engagements. Finally, the findings have shown the score of game elements that have a good effect on student’s engagement in the experiment group.
Volume: 10
Issue: 5
Page: 4965-4972
Publish at: 2020-10-01

Real time FPGA implemnation of SAR radar reconstruction system based on adaptive OMP compressive sensing

10.11591/ijeecs.v20.i1.pp185-196
Eslam Ashraf , Ashraf A. M. Khalaf , Sara M. Hassan
Synthetic aperture radar (SAR) is an imaging system based on the processing of radar echoes. The produced images have a huge amount of data which will be stored onboard or transmitted as a digital signal to the ground station via downlink to be processed. Therefore, some methods of compression on the raw images provides an attractive option for SAR systems design. One of these techniques which used for image reconstruction is the orthogonal matching pursuit (OMP). OMP is an iterative algorithm which need high computational operations. The computational complexity of the iterative algorithms is high due to updating operations of the measurement vector and large number of iterations that are used to reconstruct the images successfully. This paper presents a new adaptive OMP algorithm to overcome this issue by using certain threshold. The new adaptive OMP algorithm is compared with the classical OMP algorithm using the receiver operating characteristic (ROC) curves. The MATLAB simulations show that the new adaptive OMP algorithm improves the probability of detection at lower SNRs, reduce the computational operations as well as the number of required iterations. FPGA implementation of both the classical OMP and the adaptive OMP algorithm are also presented in this paper.
Volume: 20
Issue: 1
Page: 185-196
Publish at: 2020-10-01

Cancerous lung nodule detection in computed tomography images

10.12928/telkomnika.v18i5.15523
Ayman Abu; Applied Science Private University Baker , Yazeed; Al Ain University of Science and Technology Ghadi
Diagnosis the computed tomography images (CT-images) is one of the images that may take a lot of time in diagnosis by the radiologist and may miss some of cancerous nodules in these images. Therefore, in this paper a new novel enhancement and detection cancerous nodule algorithm is proposed to diagnose a CT-images. The novel algorithm is divided into three main stages. In first stage, suspicious regions are enhanced using modified LoG algorithm. Then in stage two, a potential cancerous nodule was detected based on visual appearance in lung. Finally, five texture features analysis algorithm is implemented to reduce number of detected FP regions. This algorithm is evaluated using 60 cases (normal and cancerous cases), and it shows a high sensitivity in detecting the cancerous lung nodules with TP ration 97% and with FP ratio 25 cluster/image.
Volume: 18
Issue: 5
Page: 2432-2438
Publish at: 2020-10-01
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