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31,456 Article Results

User grouping-based multiple access scheme for IoT network

10.12928/telkomnika.v19i2.16181
Minh-Sang Van; Industrial University of Ho Chi Minh City (IUH) Nguyen , Tu-Trinh; Industrial University of Ho Chi Minh City (IUH) Nguyen , Dinh-Thuan; Ton Duc Thang University Do
The internet of things (IoT) in 5G and beyond wireless systems is interesting topic since IoT network will be platform to develop applications in the future. IoT will open a door for smart services and new wireless architecture. In this study, we consider multiple access technique applied in two-way cooperative scheme, namely two-way non-orthogonal multiple access (TW-NOMA). We derive expressions of outage probability for considered system using amplify-and-forward (AF) relay protocol, and we show that fixed power allocation factors and target rates are main impacts on performance of AF TW-NOMA. We finally extend many scenarios to evaluate performance of two-user model and outage probability in a two-user scenario are numerically verified. It is confirmed that simulation results show that AF TW-NOMA provides better data rates and user fairness.
Volume: 19
Issue: 2
Page: 499-506
Publish at: 2021-04-01

Delineation of electrocardiogram morphologies by using discrete wavelet transforms

10.11591/ijeecs.v22.i1.pp159-167
Annisa Darmawahyuni , Siti Nurmaini , Hanif Habibie Supriansyah , Muhammad Irham Rizki Fauzi , Muhammad Naufal Rachmatullah , Firdaus Firdaus , Bambang Tutuko
The accuracy of electrocardiogram (ECG) delineation can affect the precise diagnose for cardiac disorders interpretation. Some nonideal ECG presentation can make a false decision in precision medicine. Besides, the physiological variation of heart rate and different characteristics of the different ECG waves in terms of shape, frequency, amplitude, and duration is also affected. This paper proposes a discrete wavelet transform (DWT), non-stationary signal analysis for noise removal, and onset-offset of PQRST feature extraction. A well-known database from Physionet: QT database (QTDB) is used to validate the DWT function for detecting the onset and offset of P-wave, QRS-complex, and T-wave localization. From the results, P-peak detection gets the highest result that achieves 2.19 and 13.62 milliseconds of mean error and standard deviation, respectively. In contrast, Toff has obtained the highest error value due to differences in the T-wave morphology. It can be affected by inverted or biphasic T-waves and others.
Volume: 22
Issue: 1
Page: 159-167
Publish at: 2021-04-01

The application of dual-layer remote phosphor geometry in achieving higher color quality of WLEDs

10.12928/telkomnika.v19i2.16706
My Hanh Nguyen; Industrial University of Ho Chi Minh City Thi , Phung Ton; Industrial University of Ho Chi Minh City That , Hoang Van; Thu Dau Mot University Ngoc
If remote phosphor structures are put into comparison with conformal phosphor or in-cup phosphor, their luminous flux are better, but the color quality is not as elevated. This leads to an obvious need of a practical solution to enhance color quality. Therefore, many studies were carried out to achieve this purpose, and so is ours. We proposed using two layers of phosphor in WLEDs to achieve better rendering ability and chromatic performance. The identical WLEDs with different color temperatures, 5600 K-8500 K, were used and reported in this paper. Our research consists of two parts, which are placing a layer of red phosphor SrwFxByOz:Eu2+,Sm2+on the yellow YAG:Ce3+ phosphor layer at first, and then specifying an appropriate SrwFxByOz:Eu2+,Sm2+ concentration to reach the highest color performance. It is shown that with the contribution of SrwFxByOz:Eu2+,Sm2+,the color rendering index (CRI) and color quality scale (CQS) are increased. This can be explained by the increased amount of red light components in the WLEDs when the concentration of SrwFxByOz:Eu2+,Sm2+ was greater. However, excessive SrwFxByOz:Eu2+,Sm2+ will cause the reduction in the flux, which has been proven by the application of Mie scattering and the Lambert-Beer law. Therefore, the conclusion will present an optimal amount of SrwFxByOz:Eu2+,Sm2+ to obtain high color quality while minimizing the light loss.
Volume: 19
Issue: 2
Page: 616-622
Publish at: 2021-04-01

Particle swarm optimization for airlines fleet assignment

10.11591/ijeecs.v22.i1.pp427-434
Abdallah A. Abouzeid , Mostafa Mohei Eldin , Mohammed Abdel Razek
Airline fleet assignment is the process of assigning aircraft types to scheduled flight legs in order to minimize operating cost and achieve maximize revenue, while satisfying a set of constraints. This paper formulate the fleet assignment problem for airlines that optimization goal is to minimize the total assignment cost. Particle swarm optimization proposed to solve this model. The model successfully applied to Egyptair airline dataset using the particle swarm optimization and mixed integer programming. The proposed method compared with mixed integer programming and current Egyptair assignment methodology. The results showed that the particle swarm optimization is the best method for the Egyptair fleet assignment process. The solution quality is better than mixed integer programming and Egyptair assignment methodology where we saw a daily cost reduction with a percentage of 14.6% and 19.3% respectively.
Volume: 22
Issue: 1
Page: 427-434
Publish at: 2021-04-01

Simulation for determining the rod pump system parameter values using finite difference method

10.11591/ijeecs.v22.i1.pp137-145
Erwani Merry Sartika , Arief Darmawan
Lifting petroleum to the surface requires a mechanism called an artificial lift. This mechanism is useful for increasing the flow of fluids from a well. One that uses this method is the rod pump. The rod pump system needed the appropriate design (through the determination of the value of the parameters that affect) so that the pump runs optimally. But changing the appropriate design in real terms is not economically and time-efficient. The ideal rod pump system analysis procedure is to take downhole data (in the well) which is commonly called a pump card. A pump card calculation simulation is needed to efficiently analyze the rod pump system. The wave equation can describe the model of the rod pump system. A simulation of pump data calculation is performed using the finite difference method for the wave equation solution. Through the process of tuning parameter values using trial and error methods, the steps of tuning the parameter value of the rod pump system are proposed in this paper. For further research, a pump card calculation method based on a surface card can be developed to efficiently analyze the rod pump.
Volume: 22
Issue: 1
Page: 137-145
Publish at: 2021-04-01

A novel fuzzy based controller to reduce circulating currents in parallel interleaved converter connected to the grid

10.11591/ijece.v11i2.pp1130-1142
Sravanthy Gaddameedhi , P. Srinivas
This paper exhibits suppression strategy of low frequency circulating current components for parallel inter-leaved converters. Here inverters are parallelized by magnetically coupled inductors. Traditionally, carrier interleaved technique was used to get lower distorted output voltage, but it gives a higher circulating currents to flow through the Two-VSC‘s. The mutual inductance of the coupled inductors (CI) is utilized for minimizing circulating currents of high frequency components. Nevertheless, CI can‘t have capability to riddle the components generated by low frequency. When these circulating currents extremely increases may leads to CI saturation, elevated switching losses and diminishes the entire performance of system. Here author identified a novel control technique for a grid-connected parallel inter-leaved converter depending on approach of energy shaping control (ECS). This controller diminishes the value of the low frequency components of circulating current (LFCC). The performance of the proposed circuit is evaluated in simulation mode and correlated with the conventional proportional integral control (PIC) and the linear quadratic control (LQC). The Fuzzy controller is also included in this work to enhance the converter performance effectively and to diminish the circulating currents along with the healthy harmonic performance analysis.
Volume: 11
Issue: 2
Page: 1130-1142
Publish at: 2021-04-01

A modification of fuzzy arithmetic operators for solving near-zero fully fuzzy matrix equation

10.12928/telkomnika.v19i2.18023
W. S. W.; Universiti Malaysia Perlis Daud , N.; Universiti Utara Malaysia Ahmad , G.; Abu Dhabi AlAin Men's College Malkawi
Matrix equations have its own important in the field of control system engineering particularly in the stability analysis of linear control systems and the reduction of nonlinear control system models. There are certain conditions where the classical matrix equation are not well equipped to handle the uncertainty problems such as during the process of stability analysis and reduction in control system engineering. In this study, an algorithm is developed for solving fully fuzzy matrix equation particularly for ~ A ~X ~B 􀀀 ~X = ~ C, where the coefficients of the equation are in near-zero fuzzy numbers. By modifying the existing fuzzy multiplication arithmetic operators, the proposed algorithm exceeds the positive restriction to allow the near-zero fuzzy numbers as the coefficients. Besides that, a new fuzzy subtraction arithmetic operator has also been proposed as the existing operator failed to satisfy the both sides of the nearzero fully fuzzy matrix equation. Subsequently, Kronecker product and V ec-operator are adapted with the modified fuzzy arithmetic operator in order to transform the fully fuzzy matrix equation to a fully fuzzy linear system. On top of that, a new associated linear system is developed to obtain the final solution. A numerical example and the verification of the solution are presented to demonstrate the proposed algorithm.
Volume: 19
Issue: 2
Page: 583-598
Publish at: 2021-04-01

Classifying a type of brain disorder in children: an effective fMRI based deep attempt

10.11591/ijeecs.v22.i1.pp260-269
Abeer M Mahmoud , Hanen Karamti
Recent advanced intelligent learning approaches that are based on using neural networks in medical diagnosing increased researcher expectations. In fact, the literature proved a straight-line relation of the exact needs and the achieved results. Accordingly, it encouraged promising directions of applying these approaches toward saving time and efforts. This paper proposes a novel hybrid deep learning framework that is based on the restricted boltzmann machines (RBM) and the contractive autoencoder (CA) to classify the brain disorder and healthy control cases in children less than 12 years. The RBM focuses on obtaining the discriminative set of high guided features in the classification process, while the CA provides the regularization and the robustness of features for optimal objectives. The proposed framework diagnosed children with autism recording accuracy of 91, 14% and proved enhancement compared to literature.
Volume: 22
Issue: 1
Page: 260-269
Publish at: 2021-04-01

A comprehensive review on hybrid network traffic prediction model

10.11591/ijece.v11i2.pp1450-1459
Jinmei Shi , Yu Beng Leau , Kun Li , Joe Henry Obit
Network traffic is a typical nonlinear time series. As such, traditional linear and nonlinear models are inadequate to describe the multi-scale characteristics of traffic, thus compromising the prediction accuracy. Therefore, the research to date has tended to focus on hybrid models rather than the traditional linear and non-linear ones. Generally, a hybrid model adopts two or more methods as combined modelling to analyze and then predict the network traffic. Against this backdrop, this paper will review past research conducted on hybrid network traffic prediction models. The review concludes with a summary of the strengths and limitations of existing hybrid network prediction models which use optimization and decomposition techniques, respectively. These two techniques have been identified as major contributing factors in constructing a more accurate and fast response hybrid network traffic prediction.
Volume: 11
Issue: 2
Page: 1450-1459
Publish at: 2021-04-01

Automated smart car parking system for smart cities demand employs internet of things technology

10.11591/ijict.v10i1.pp46-53
Rahman Atiqur
The use of smart cities rises quickly with the fast progress of the Internet of Things (IoT) advances. The smart city idea essentially getting city life; as well raises the capability of municipal jobs and facilities plus form viable economic progress of the city. The point of convergence of this paper is to introduce an automated smart automobile parking system for smart cities demand employs internet of things (IoT) technology. The offered automobile parking system covers an IoT entity sent nearby for getting sorted out the existing parking spots which are quicker contrasted with different frameworks. It is a viewpoint gave as an iOS application for reservation, entrance, supervision, and leaving the car park places.
Volume: 10
Issue: 1
Page: 46-53
Publish at: 2021-04-01

Application of computational methods for harmonic state estimation of power system networks

10.11591/ijeecs.v22.i1.pp1-9
Hassan Saadallah Naji , Husham Idan Hussein
In this study, a novel technique is used to estimate the power system harmonic state, as one of the biggest risks in a power system network. Nonlinear loads are widely used, which inject harmonics into a system. Such injected harmonics make networks unstable and increase power loss. The main objective of this work is to develop a new harmonic state estimator system to increase power system accuracy, stability and the wall operation state. Three computational methods are used in this study, that is, the i) proposed particle swarm optimisation-recursive least squares (PSO-RLS) algorithm, which is developed, presented and compared with the ii) discrete fourier transform (DFT) and iii) PSO algorithms. The three algorithms are tested on an IEEE 14-bus system, and simulation results show that the new PSO-RLS algorithm is more accurate than the other two algorithms (i.e. DFT and PSO algorithms), with a lower error percentage. The proposed algorithm is tested to prove its validity and effectiveness in power system networks. The capability of the PSO-RLS algorithm is apparent in the error percentage compared with that of the other two computational methods, which can be used to provide an excellent prediction rate for measurement errors in system buses. 
Volume: 22
Issue: 1
Page: 1-9
Publish at: 2021-04-01

Determinants of customer acceptance of e-banking in Iraq using technology acceptance model

10.12928/telkomnika.v19i2.16068
Ayad Hameed; University of Kerbala Mousa , Sundus Hameed; University of Kufa Mousa , Mustafa; Rostock University Rostock Aljshamee , Intedhar Shakir; University of Kerbala Nasir
Electronic banking (e-banking) is a form of banking in which funds are transferred through an exchange of electronic signals along to the traditional banking process as the exchange of cash, checks, or other types of paper documents. Moreover, the general tendencies of the Iraqi government in line with other countries to adopt e-banking and provide e-services to customers. However, the determinants of e-banking services need to investigate to determine the variables affecting the rate of such adoption. Thus, the main aim of this study is to identify the determinants of e-banking services in Iraq. Hence, this study gives an investigation using the technology acceptance model (TAM) by selecting a sample for many Iraqi banks' customers and staff to determine the determinants of user acceptance of e-banking. A preliminary study was conducted to empirically determine the user acceptance determinants of e-banking. For data collection, a quantitative method was used represented by the questionnaire. The selected sample for the investigation is 200 (customers and staff). Several methods have used for data analysis such as hierarchical regression, one-way ANOVA, descriptive statistics, t-test as well as structural equation modeling (SEM). The obtained outcomes show there are several determinants of e-banking services in Iraq that have determined in this study. Moreover, this study confirms the overcoming of those determinants will give a highly positive impact on e-banking services.
Volume: 19
Issue: 2
Page: 421-431
Publish at: 2021-04-01

PhosopNet: An improved grain localization and classification by image augmentation

10.12928/telkomnika.v19i2.18321
Pakpoom; Chandrakasem Rajabhat Univeristy Mookdarsanit , Lawankorn; Chandrakasem Rajabhat University Mookdarsanit
Rice is a staple food for around 3.5 billion people in eastern, southern and south-east Asia. Prior to being rice, the rice-grain (grain) is previously husked and/or milled by the milling machine. Relevantly, the grain quality depends on its pureness of particular grain specie (without the mixing between different grain species). For the demand of grain purity inspection by an image, many researchers have proposed the grain classification (sometimes with localization) methods based on convolutional neural network (CNN). However, those papers are necessary to have a large number of labeling that was too expensive to be manually collected. In this paper, the image augmentation (rotation, brightness adjustment and horizontal flipping) is appiled to generate more number of grain images from the less data. From the results, image augmentation improves the performance in CNN and bag-of-words model. For the future moving forward, the grain recognition can be easily done by less number of images.
Volume: 19
Issue: 2
Page: 479-490
Publish at: 2021-04-01

A hybrid method of genetic algorithm and support vector machine for DNS tunneling detection

10.11591/ijece.v11i2.pp1666-1674
Fuqdan A. Al-Ibraheemi , Sattar AL-Ibraheemi , Haleh Amintoosi
With the expansion of the business over the internet, corporations nowadays are investing numerous amounts of money in the web applications. However, there are different threats could make the corporations vulnerable for potential attacks. One of these threats is harnessing the domain name protocol for passing harmful information, this kind of threats is known as DNS tunneling. As a result, confidential information would be exposed and violated. Several studies have investigated the machine learning in order to propose a detection approach. In their approaches, authors have used different and numerous types of features such as domain length, number of bytes, content, volume of DNS traffic, number of hostnames per domain, geographic location and domain history. Apparently, there is a vital demand to accommodate feature selection task in order to identify the best features. This paper proposes a hybrid method of genetic algorithm feature selection approach with the support vector machine classifier for the sake of identifying the best features that have the ability to optimize the detection of DNS tunneling. To evaluate the proposed method, a benchmark dataset of DNS tunneling has been used. Results showed that the proposed method has outperformed the conventional SVM by achieving 0.946 of f-measure
Volume: 11
Issue: 2
Page: 1666-1674
Publish at: 2021-04-01

A trust-based authentication framework for security of WPAN using network slicing

10.11591/ijece.v11i2.pp1375-1387
Sazia Parvin , Amjad Gawanmeh , Sitalakshmi Venkatraman , Ali Alwadi , Jamal N. Al-Karaki , Paul D. Yoo
New technologies bring along many challenges including security and privacy. Wireless personal area networks (WPANs) are characterized by limited energy resources and computing power that calls for lightweight security mechanisms in these networks as a mandatory requirement. In this paper, a lightweight trust-based framework for node authentication in WPAN is proposed. Our main objective is to minimise the effort in distinguishing valid requests of trustworthy nodes from invalid requests of malicious nodes that can result in network compromises. We achieve this through network slicing which divides the network into virtually primary and secondary networks. The proposed framework has three-fold benefits. First, it authenticates nodes’ requests based on a novel method of trust value calculation. Second, the framework maintains energy efficiency while authenticating nodes’ requests to access WPAN resources. Finally, the framework provides a solution for biasing problem that can arise due to unexpected behaviour of malicious users in WPANs. The framework efficacy is illustrated on a case study to shown how it can accurately capture trust relations among nodes while preventing malicious behavior.
Volume: 11
Issue: 2
Page: 1375-1387
Publish at: 2021-04-01
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