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29,922 Article Results

Dispersion compensation of optical systems utilizing fiber Bragg grating at 15 Gbits/s

10.11591/ijeecs.v22.i1.pp369-378
Alaa Hussein Ali , Saad Mutashar , Ali Mahdi Hammadi
Nowadays the technological advancement of the information transmission is developing very rapidly and it becomes necessary to achieve a high speed in the transmission of data as well as higher data rate. Developments in optical communication systems address these needs. However, despite all the features and advantages of optical communication systems, the dispersion is still the main challenges. In this paper and to this end, fiber Bragg grating (FBG) is used in order to overcome the dispersion issue in the wavelength division multiplexing (WDM) transmission system. The WDM transmission system is simulated using the advanced tools of Optisystem 13. The simulation program was used at a speed of 15 Gbits/s with 50Km optical fiber length based on the different input design parameters such as input signal power, optical fiber length and attenuation coefficient. In addition, the output performance parameters are discussed in terms of quality factor (Q-factor) and eye diagram. Moreover, a comparison between the proposed design and previous related works is presented.
Volume: 22
Issue: 1
Page: 369-378
Publish at: 2021-04-01

Big data and remote sensing: A new software of ingestion

10.11591/ijece.v11i2.pp1521-1530
Badr-Eddine Boudriki Semlali , Chaker El Amrani
Currently, remote sensing is widely used in environmental monitoring applications, mostly air quality mapping and climate change supervision. However, satellite sensors occur massive volumes of data in near-real-time, stored in multiple formats and are provided with high velocity and variety. Besides, the processing of satellite big data is challenging. Thus, this study aims to approve that satellite data are big data and proposes a new big data architecture for satellite data processing. The developed software is enabling an efficient remote sensing big data ingestion and preprocessing. As a result, the experiment results show that 86 percent of the unnecessary daily files are discarded with a data cleansing of 20 percent of the erroneous and inaccurate plots. The final output is integrated into the Hadoop system, especially the HDFS, HBase, and Hive, for extra calculation and processing.
Volume: 11
Issue: 2
Page: 1521-1530
Publish at: 2021-04-01

COVID-19 fever symptom detection based on IoT cloud

10.11591/ijece.v11i2.pp1823-1829
Mustafa Wassef Hasan
This paper presents a new method of detection COVID-19 fever symptoms depending on IoT cloud services to solve the higher time delay of checking the crowded clients that enter public or private agencies which can lead to a dangerous field to spread the disease. An automatically checking process is suggested using a practical experiment is developed using (ESP8266 Node MCU, Ultrasonic (SR-04), RFID (RC522), human body temperature (MAX30205) sensors, and ThingSpeak platform). Where Node MCU is open-source hardware used to transmit the received data (human temperature sensor) from the (MAX30205) to the cloud platform (ThingSpeak) then alert the monitoring manager user when the collected data reached a critical value that specified previously and automatically take action to solve this situation. At the same time, the cloud platform will provide a graphical representation of the received data to display it using different monitoring devices such as (computers, mobiles, and others).
Volume: 11
Issue: 2
Page: 1823-1829
Publish at: 2021-04-01

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

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

Design and implementation of DA FIR filter for bio-inspired computing architecture

10.11591/ijece.v11i2.pp1709-1718
B. U. V. Prashanth , Mohammed Riyaz Ahmed , Manjunath R. Kounte
This paper elucidates the system construct of DA-FIR filter optimized for design of distributed arithmetic (DA) finite impulse response (FIR) filter and is based on architecture with tightly coupled co-processor based data processing units. With a series of look-up-table (LUT) accesses in order to emulate multiply and accumulate operations the constructed DA based FIR filter is implemented on FPGA. The very high speed integrated circuit hardware description language (VHDL) is used implement the proposed filter and the design is verified using simulation. This paper discusses two optimization algorithms and resulting optimizations are incorporated into LUT layer and architecture extractions. The proposed method offers an optimized design in the form of offers average miminimizations of the number of LUT, reduction in populated slices and gate minimization for DA-finite impulse response filter. This research paves a direction towards development of bio inspired computing architectures developed without logically intensive operations, obtaining the desired specifications with respect to performance, timing, and reliability.
Volume: 11
Issue: 2
Page: 1709-1718
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

Power enhancement based link quality for wireless mesh network

10.11591/ijece.v11i2.pp1388-1394
Mohammad Khalaf Rahim Al-juaifari , Hussain Mumtaiz Alshamy , Noor Hassan Abed Khammas
Energy consumption of wireless network communication is still a big issue and a lot of research papers have proposed many solutions to increase node life time. The WMN architecture is made up of a fixed and mobile component, whereas the wireless mesh networks (WMNs) are multi-hop wireless networks with instant deployment, self-healing, self-organization and self-configuration features. The reduction in the distance by a factor of two can result in at least four times more powerful signals at the receiver. This paper presents suggestions that the links are more reliable without the increase in power of the transmitter in individual nodes. As a result, the present simulations networks are nine mobile nodes for considering coverage issues of the service area. The analytic results show that the link power node for direct communication between two nodes with long distance consuming more power than it is cleared. The improvement in the network performance for maintaining is available and this solution can be used to implement mobility in such case with low power region for the wireless mesh networks.
Volume: 11
Issue: 2
Page: 1388-1394
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

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

Real-time Arabic scene text detection using fully convolutional neural networks

10.11591/ijece.v11i2.pp1634-1640
Rajae Moumen , Raddouane Chiheb , Rdouan Faizi
The aim of this research is to propose a fully convolutional approach to address the problem of real-time scene text detection for Arabic language. Text detection is performed using a two-steps multi-scale approach. The first step uses light-weighted fully convolutional network: TextBlockDetector FCN, an adaptation of VGG-16 to eliminate non-textual elements, localize wide scale text and give text scale estimation. The second step determines narrow scale range of text using fully convolutional network for maximum performance. To evaluate the system, we confront the results of the framework to the results obtained with single VGG-16 fully deployed for text detection in one-shot; in addition to previous results in the state-of-the-art. For training and testing, we initiate a dataset of 575 images manually processed along with data augmentation to enrich training process. The system scores a precision of 0.651 vs 0.64 in the state-of-the-art and a FPS of 24.3 vs 31.7 for a VGG-16 fully deployed.
Volume: 11
Issue: 2
Page: 1634-1640
Publish at: 2021-04-01
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