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29,922 Article Results

Application of particle swarm optimization with ANFIS model for double scroll chaotic system

10.11591/ijece.v11i1.pp328-335
W. A. Wali
The predictions for the original chaos patterns can be used to correct the distorted chaos pattern which has changed due to any changes whether from undesired disturbance or additional information which can hide under chaos pattern. This information can be recovered when the original chaos pattern is predicted. But unpredictability is most features of chaos, and time series prediction can be used based on the collection of past observations of a variable and analysis it to obtain the underlying relationships and then extrapolate future time series. The additional information often prunes away by several techniques. This paper shows how the chaotic time series prediction is difficult and distort even if Neuro-Fuzzy such as Adaptive Neural Fuzzy Inference System (ANFIS) is used under any disturbance. The paper combined particle swarm (PSO) and (ANFIS) to exam the prediction model and predict the original chaos patterns which comes from the double scroll circuit. Changes in the bias of the nonlinear resistor were used as a disturbance. The predicted chaotic data is compared with data from the chaotic circuit.
Volume: 11
Issue: 1
Page: 328-335
Publish at: 2021-02-01

Design of a model reference adaptive PID control algorithm for a tank system

10.11591/ijece.v11i1.pp300-318
Yohan Darcy Mfoumboulou
This paper describes the design of an adaptive controller based on model reference adaptive PID control (MRAPIDC) to stabilize a two-tank process when large variations of parameters and external disturbances affect the closed-loop system. To achieve that, an innovative structure of the adaptive PID controller is defined, an additional PI is designed to make sure that the reference model produces stable output signals and three adaptive gains are included to guarantee stability and robustness of the closed-loop system. Then, the performance of the model reference adaptive PID controller on the behaviour of the closed-loop system is compared to a PI controller designed on MATLAB when both closed-loop systems are under various conditions. The results demonstrate that the MRAPIDC performs significantly better than the conventional PI controller.
Volume: 11
Issue: 1
Page: 300-318
Publish at: 2021-02-01

Multiloop low bandwidth communication-based power sharing control for microgrids

10.11591/ijeecs.v21.i2.pp682-690
Erum Pathan , Afarulrazi Abu Bakar , Mubashir Hayat Khan , Muhammad Asad , Haider Arshad
In parallel-connected inverter-based microgrids, the reactive power sharing accuracy can not have satisfactory results effortlessly. Mismatch in feeder impedances of the parallel-connected inverter-based microgrids is a significant cause of inaccurate reactive power-sharing. In voltage source inverters (VSI) based microgrids, especially for the islanded mode of operation, the conventional centralized or decentralized control techniques are not much helpful to control the voltage deviations due to impedance mismatch. Mismatch of the feeder impedance is compensated by the addition of fixed virtual impedance. Whereas, the change in the virtual impedance is compensated by adaptive virtual impedance-based control techniques which are helpful to mitigate power-sharing errors, but in most of the control schemes virtual impedance-based control mechanism needs pre-knowledge of feeder impedance which increases the computational burden. This paper presents a decentralized virtual impedance-based power sharing control. In the proposed control solution to mitigate reactive power sharing errors in distributed generation (DG) units, mismatch of the parallel-connected feeder impedance is equalized by regulating the addition of equivalent impedance to each DG inverter. Proposed control technique offers an independent implementation without any pre-knowledge of the feeder impedance. Hence, the implementation of the control scheme is a straightforward and computational burden is also reduced. Simulation results show the effectiveness of the control scheme. 
Volume: 21
Issue: 2
Page: 682-690
Publish at: 2021-02-01

Certain properties of ω-Q-fuzzy subrings

10.11591/ijeecs.v21.i2.pp822-828
Dilshad Alghazzawi , Wafaa H. Hanoon , Muhammad Gulzar , Ghazanfar Abbas , Nasreen Kausar
In this paper, we define the fuzzy subring and discussed various fundamental aspects of fuzzy subrings. We introduce the concept of level subset of this new fuzzy set and prove that level subset of fuzzy subring form a ring. We define fuzzy ideal and show that set of all fuzzy cosets form a ring. Moreover, we investigate the properties of homomorphic image of fuzzy subring.
Volume: 21
Issue: 2
Page: 822-828
Publish at: 2021-02-01

Classification techniques’ performance evaluation for facial expression recognition

10.11591/ijeecs.v21.i2.pp1176-1184
Mayyadah R. Mahmood , Maiwan B. Abdulrazaq , Subhi R. M. Zeebaree , Abbas Kh. Ibrahim , Rizgar Ramadhan Zebari , Hivi Ismat Dino
Facial exprestion recognition as a recently developed method in computer vision is founded upon the idea of analazing the facial changes in which are witnessed due to emotional impacts on an individual. This paper provides a performance evaluation of a set of supervised classifiers used for facial expression recognition based on minimum features selected by chi-square. These features are the most iconic and influential ones that have tangible value for result dermination. The highest ranked six features are applied on six classifiers including multi-layer preceptron, support vector machine, decision tree, random forest, radial baised function, and k-nearest neioughbor to figure out the most accurate one when the minum number of features are utilized. This is done via analyzing and appraising the classifiers’ performance. CK+ is used as the research’s dataset. Random forest with the total accuracy ratio of 94.23 % is illustrated as the most accurate classifier amongst the rest. 
Volume: 21
Issue: 2
Page: 1176-1184
Publish at: 2021-02-01

Compressed domain based robust digital video watermarking scheme to protect the copyright

10.11591/ijeecs.v21.i2.pp1160-1167
Rakesh Ahuja , Sachin Ahuja , Deepali Gupta , Mohd. Junedul Haque
Digital video watermarking is an effective way to protect the ownership of the multimedia contents. A novel compressed domain based digital video watermarking algorithm scheme is proposed by exploiting MPEG-2 structure. Watermark bits are embedded in DC and AC coefficients both of only smooth discrete cosine transform (DCT) blocks from selected I-frames in the original digital video. The algorithms never exploited entire frames but explore only three location from the subset of DCT blocks from the subgroup of I-frames only. This process maintains the perceptibility of the watermarked video. Two parameters, normalized correlation (NC) and bit error rate (BER) are used to evaluate the degree of similarity and dissimilarity respectively to check the robustness against image processing and video specific intentional and non-intentional attacks. The security of embedded watermark is enhanced by applying three cryptographic keys. The experimental results demonstrated that the better robustness and perceptibility achieved by comparing the results with the state of art. 
Volume: 21
Issue: 2
Page: 1160-1167
Publish at: 2021-02-01

A new parallel bat algorithm for musical note recognition

10.11591/ijece.v11i1.pp558-566
ِAnsam Nazar Younis , Fawzia Mahmood Ramo
Music is a universal language that does not require an interpreter, where feelings and sensitivities are united, regardless of the different peoples and languages, The proposed system consists of two main stages: the process of extracting important properties using the linear discrimination analysis (LDA) This step is carried out after the initial treatment process using various procedures to remove musical lines, The second stage describes the recognition process using the bat algorithm, which is one of the metaheuristic algorithms after modifying the bat algorithm to obtain better discriminating results. The proposed system was supported by parallel implementation using the (Developed Bat Algorithm DBA), which increased the speed of implementation significantly. The method was applied to 1250 different images of musical notes. The proposed system was implemented using MATLAB R2016a, Work was done on a Windows10 Processor OS (Intel ® Core TM i5-7200U CPU @ 2.50GHZ 2.70GHZ) computer.
Volume: 11
Issue: 1
Page: 558-566
Publish at: 2021-02-01

Performance enhancement of wireless sensor network by using non-orthogonal multiple access and sensor node selection schemes

10.11591/ijeecs.v21.i2.pp886-894
Duy-Hung Ha , Duy-Binh Ha , Van-Truong Truong , Van-Duc Phan , Q. S. Vu
In this paper, we investigate a relaying wireless sensor network (WSN) with the non-orthogonal multiple access (NOMA) and sensor node selection schemes over Rayleigh fading. Precisely, the system consists of two sensor clusters, a sink node, and an amplify-and-forward (AF) relay. These sensors applying the NOMA and sensor node selection schemes transmit the sensing data from the sensor clusters via the relay to the sink. We derived the expressions of outage probability and throughput for two sensor nodes. We also provide numerical results to examine the behavior of the system. Finally, we verify the validity of our analysis by using the Monte-Carlo simulation.
Volume: 21
Issue: 2
Page: 886-894
Publish at: 2021-02-01

A powerful comparison of deep learning frameworks for Arabic sentiment analysis

10.11591/ijece.v11i1.pp745-752
Youssra Zahidi , Yacine El Younoussi , Yassine Al-Amrani
Deep learning (DL) is a machine learning (ML) subdomain that involves algorithms taken from the brain function named artificial neural networks (ANNs). Recently, DL approaches have gained major accomplishments across various Arabic natural language processing (ANLP) tasks, especially in the domain of Arabic sentiment analysis (ASA). For working on Arabic SA, researchers can use various DL libraries in their projects, but without justifying their choice or they choose a group of libraries relying on their particular programming language familiarity. We are basing in this work on Java and Python programming languages because they have a large set of deep learning libraries that are very useful in the ASA domain. This paper focuses on a comparative analysis of different valuable Python and Java libraries to conclude the most relevant and robust DL libraries for ASA. Throw this comparative analysis, and we find that: TensorFlow, Theano, and Keras Python frameworks are very popular and very used in this research domain.
Volume: 11
Issue: 1
Page: 745-752
Publish at: 2021-02-01

An area efficient memory-less ROM design architecture for direct digital frequency synthesizer

10.11591/ijece.v11i1.pp257-264
Salah Alkurwy , Sawal H. Ali , Md. Shabiul Islam , Faizul Idros
This paper introduces a new technique of designing a read-only memory (ROM) circuit, namely; memory-less ROM as a novel approach to designing the ROM lookup table (LUT) circuit for use in a direct digital frequency synthesizer (DDFS). The proposed DDFS design uses the pipelined phase accumulator (PA) based on the kogge-stone (KS) adder. Verilog HDL programming is encoded on the architecture circuit of pipelined PA and contrasted with other PA based on various adders. The obtained results define the KS adder as having good capabilities for improving the throughput. In addition to the quarter symmetry technique, the built memory-less ROM to obtain the quarter sine amplitude waveform is proposed and implemented in the DDFS system. The implementation of the proposed technique replaces the necessary ROM registers (384 D flip-flops) and multiplexers with simple logic gate circuits instead of traditional ROMs. This technique would reduce the area size and cell count by 56% and 32.6% respectively.
Volume: 11
Issue: 1
Page: 257-264
Publish at: 2021-02-01

GPON and V-band mmWave in green backhaul solution for 5G ultra-dense network

10.11591/ijece.v11i1.pp390-401
Ayodeji Akeem Ajani , Vitalice Kalecha Oduol , Zachaeus Kayode Adeyemo
Ultra-dense network (UDN) is characterized by massive deployment of small cells which resulted into complex backhauling of the cells. This implies that for 5G UDN to be energy efficient, appropriate backhauling solutions must be provided. In this paper, we have evaluated the performance of giga passive optical network (GPON) and V-band millimetre wave (mmWave) in serving as green backhaul solution for 5G UDN. The approach was to first reproduce existing backhaul solutions in Very Dense Network (VDN) scenario which served as benchmark for the performance evaluation for the UDN scenario. The best two solutions, GPON and V-band solutions from the VDN were then deployed in 5G UDN scenario. The research was done by simulation in MATLAB. The performance metrics used were power consumption and energy efficiency against the normalized hourly traffic profile. The result revealed that GPON and V-band mmWave outperformed other solutions in VDN scenario. However, this performance significantly dropped in the UDN scenariodue to higher data traffic requirement of UDN compared to VDN. Thus, it can be concluded that GPON and V-band mmWave are not best suited to serve as green backhaul solution for 5G UDN necessitating further investigation of other available backhaul technologies.
Volume: 11
Issue: 1
Page: 390-401
Publish at: 2021-02-01

Power system operation considering detailed modelling of energy storage systems

10.11591/ijece.v11i1.pp182-200
Sergio Cantillo , Ricardo Moreno
The power system operation considering energy storage systems (ESS) and renewable power represents a challenge. In a 24-hour economic dispatch, the generation resources are dispatched to meet demand requirements considering network restrictions. The uncertainty and unpredictability associated with renewable resources and storage systems represents challenges for power system operation due to operational and economical restrictions. This paper develops a detailed formulation to model energy storage systems (ESS) and renewable sources for power system operation considering 24-hour period. The model is formulated and evaluated with two different power systems (i.e. 5-bus and IEEE modified 24-bus systems). Wind availability patterns and scenarios are used to assess the ESS performance under different operational circumstances. With regard to the systems proposed, there are scenarios in order to evaluate ESS performance. In one of them, the increase in capacity did not represent significant savings or performance for the system, while in the other it was quite the opposite especially during peak load periods.
Volume: 11
Issue: 1
Page: 182-200
Publish at: 2021-02-01

Straggler handling approaches in mapreduce framework: a comparative study

10.11591/ijece.v11i1.pp375-382
Anwar H. Katrawi , Rosni Abdullah , Mohammed Anbar , Ibrahim AlShourbaji , Ammar Kamal Abasi
The proliferation of information technology produces a huge amount of data called big data that cannot be processed by traditional database systems. These Various types of data come from different sources. However, stragglers are a major bottleneck in big data processing, and hence the early detection and accurate identification of stragglers can have important impacts on the performance of big data processing. This work aims to assess five stragglers identification methods: Hadoop native scheduler, LATE Scheduler, Mantri, MonTool, and Dolly. The performance of these techniques was evaluated based on three benchmarked methods: Sort, Grep and WordCount. The results show that the LATE Scheduler performs the best and it would be efficient to obtain better results for stragglers identification.
Volume: 11
Issue: 1
Page: 375-382
Publish at: 2021-02-01

Performance evaluation of WLAN in enterprise WAN with real-time applications based on OPNET modeler

10.11591/ijeecs.v21.i2.pp911-918
Mohammed Ghadhban Al-Hamiri , Haider J. Abd , Hanaa M. Al Abboodi
Wireless local area networks (WLAN) has been used recently due to their benefits which exhibits outstanding mobility with easier and faster configurations. The wireless local area network performance is much influenced by both network topology and hardware specifications and thus will impact the quality of service (QoS) parameters which are delay, load, and response time. This works estimated the performance of WLAN in enterprise WAN based on the OPNET modeler. Three scenarios have been suggested which are FDDI scenario, FDDI Hybrid Star scenario, and FDDI hybrid ring scenario involving web browsing (HTTP) and file transfer protocol (FTP). Hardware objects and software configurations kept the same for all proposed scenarios. Different types of links and topologies have been applied among WLAN subnets as well as the involved gateway has been changed to measure parameters of quality of services (QoS) for all scenarios used. The findings confirmed that the FDDI Hybrid Ring scenario presents better performance than the FDDI Hybrid Star Scenario and FDDI scenario in terms of WLAN delay, WLAN load, FTP download response time, and HTTP object response time.
Volume: 21
Issue: 2
Page: 911-918
Publish at: 2021-02-01

Wireless sensor network’s localization based on multiple signal classification algorithm

10.11591/ijece.v11i1.pp498-507
Nabeel Aad Lafta , Saad S. Hreshee
Wireless sensor networks (WSNs) are a number of sensitive nodes senses a physical phenomenon at the position of their deployment then sends information to the base station to take appropriate operation. (WSNs) are used in many applications such track military targets, discover fires, study natural phenomena such as earthquakes, humidity, heat, etc. The nodes are spread in large areas and it is difficult to locate them manually because they are published randomly by planes or any other method and since the information received from sensitive nodes is useless without knowing their location in this case a problem resulted in the positioning of the nodes. So it unacceptable to equip each sensor node with global position system (GPS) due to various problems such as raises cost and energy consumption. In this paper explained a non-GPS technique to self-positioning of nodes in (WSNs) by using the multiple signal classification (MUSIC) algorithm to determine the position of the active sensor through estimated the direction of arrival (DOA) of the node signal. Then modified MUSIC algorithm (M-MUSIC) to solve the problem of coherent signal. MATLAB program successfully used to simulate the proposed algorithm.
Volume: 11
Issue: 1
Page: 498-507
Publish at: 2021-02-01
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