Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,456 Article Results

OFDM PAPR reduction for image transmission using improved tone reservation

10.11591/ijece.v11i1.pp416-423
Zainab Noori Ghanim , Buthaina M. Omran
High peak to average power ration (PAPR) in orthogonal frequency division multiplexing (OFDM) is an important problem, which increase the cost and complexity of high power amplifiers. One of the techniques used to reduce the PAPR in OFDM system is the tone reservation method (TR). In our work we propose a modified tone reservation method to decrease the PAPR with low complexity compared with the conventional TR method by process the high and low amplitudes at the same time. An image of size 128×128 is used as a source of data that transmitted using OFDM system. The proposed method decrease the PAPR by 2dB compared with conventional method with keeping the performance unchanged. The performance of the proposed method is tested with several numbers of subcarriers; we found that the PAPR is reduced as the number of subcarriers decreased.
Volume: 11
Issue: 1
Page: 416-423
Publish at: 2021-02-01

DTC based on SVM for induction motor sensorless drive with fuzzy sliding mode speed controller

10.11591/ijece.v11i1.pp171-181
Sarra Massoum , Abdelkader Meroufel , Ahmed Massoum , Wira Patrice
By using the direct torque control (DTC), robust response in ac drives can be produced. Ripples of currents, torque and flux are oberved in steady state. space vector modulation (SVM) applied in DTC and used for a sensorless induction motor (IM) with fuzzy sliding mode speed controller (FSMSC) is studied in this paper. This control can minimize the torque, flux, current and speed pulsations in steady state. To estimate the rotor speed and stator flux the model reference adaptive system (MRAS) is used that is designed from identified voltages and currents. The FSMSC is used to enhance the efficiency and the robustness of the presented system. The DTC transient advantage are maintained, while better quality steady-state performance is produced in sensorless implementation for a wide speed range. The drive system performances have been checked by using Matlab Simultaion, and successful results have been obtained. It is deduced that the proposed control system produces better results than the classical DTC.
Volume: 11
Issue: 1
Page: 171-181
Publish at: 2021-02-01

Adaptive key generation algorithm based on software engineering methodology

10.11591/ijece.v11i1.pp589-595
Muayad Sadik Croock , Zahraa Abbas Hassan , Saja Dhyaa Khudhur
Recently, the generation of security keys has been considered for guaranteeing the strongest of them in terms of randomness. In addition, the software engineering methodologies are adopted to ensure the mentioned goal is reached. In this paper, an adaptive key generation algorithm is proposed based on software engineering techniques. The adopted software engineering technique is self-checking process, used for detecting the fault in the underlying systems. This technique checks the generated security keys in terms of validity based on randomness factors. These factors include the results of National Institute of standard Test (NIST) tests. In case the randomness factors are less than the accepted values, the key is regenerated until obtaining the valid one. It is important to note that the security keys are generated using shift register and SIGABA technique. The proposed algorithm is tested over different case studies and the results show the effective performance of it to produce well random generated keys.
Volume: 11
Issue: 1
Page: 589-595
Publish at: 2021-02-01

Low power pseudo-random number generator based on lemniscate chaotic map

10.11591/ijece.v11i1.pp863-871
Mohamed Saber , Marwa M. Eid
Lemniscate chaotic map (LCM) provides a wide range of control parameters, canceling the need for several rounds of substitutions, and excellent performance in the confusion process. Unfortunately, the hardware model of LCM is complex and consumes high power. This paper presents a proposed low power hardware model of LCM called practical lemniscate chaotic map (P-LCM) depending on trigonometric identities to reduce the complexity of the conventional model. The hardware model designed and implement into the field programmable gate array (FPGA) board, Spartan-6 SLX45FGG484-3. The proposed model achieves a 48.3 % reduction in used resources and a 34.6 % reduction in power consumption compared to the conventional LCM. We also introduce a new pseudo-random number generator based on a proposed low power P-LCM model and perform the randomization tests for the proposed encryption system.
Volume: 11
Issue: 1
Page: 863-871
Publish at: 2021-02-01

Modified artificial bee colony optimization algorithm for adaptive power scheduling in an isolated system

10.11591/ijeecs.v21.i2.pp1168-1175
Vijo M. Joy , S. Krishnakumar
The objective of this work is to solve the power scheduling problems for efficient energy management by assigning the optimal values. Artificial neural networks are used widely in the field of energy management and load scheduling. The  backpropagation technique is used for the feed-forward neural network training and the Levenberg-Marquardt algorithm is used to minimize the errors. The slow speed of convergence and getting stuck in local minima are some negatives of   backpropagation in complex computation. To overcome these drawbacks an innovative meta-heuristicsearch algorithm called modified artificial bee colony optimization algorithm is used. A hybrid neural network is introduced in this work.  The simulation result shows that the efficiency of the systemis improved when hybrid optimization is used. With this method, the system achieves an optimalaccuracy of 99.23%
Volume: 21
Issue: 2
Page: 1168-1175
Publish at: 2021-02-01

Relationship of drain induced barrier lowering and top/bottom gate oxide thickness in asymmetric junctionless double gate MOSFET

10.11591/ijece.v11i1.pp232-239
Hakkee Jung
The relationship of drain induced barrier lowering (DIBL) phenomenon and channel length, silicon thickness, and thicknesses of top and bottom gate oxide films is derived for asymmetric junctionless double gate (JLDG) MOSFETs. The characteristics between the drain current and the gate voltage is derived by using the potential distribution model to propose in this paper. In this case, the threshold voltage is defined as the corresponding gate voltage when the drain current is (W/L) × 10-7 A, and the DIBL representing the change in the threshold voltage with respect to the drain voltage is obtained. As a result, we observe the DIBL is proportional to the negative third power of the channel length and the second power of the silicon thickness and linearly proportional to the geometric mean of the top and bottom gate oxide thicknesses, and derive a relation such as DIBL =25.15ηL_g^(-3) t_si^2 √(t_ox1∙t_ox2 ), where η is a static feedback coefficients between 0 and 1. The η is found to be between 0.5 and 1.0 in this model. The DIBL model of this paper has been observed to be in good agreement with the result of other paper, so it can be used in circuit simulation such as SPICE.
Volume: 11
Issue: 1
Page: 232-239
Publish at: 2021-02-01

Working memory enhancement during early childhood based on the utilization of interactive gesture game-based learning technique

10.11591/ijeecs.v21.i2.pp768-775
D. Lakshmi , Ponnusamy Ponnusamy
The use of human computer interaction is considered to be the most culturally and socially meritorious for the learning and playing activities of children. In this paper, a human interaction recognition system (HIRS) that includes gesture game-based learning is investigated for identifying its suitability and applicability in stimulation of working memory and primitive mathematical skills among the children in the early childhood period that ranges from 5 and 8 years.  In the proposed human interaction recognition system, the hand gestures are facilitated by the user for the objective of controlling the computer system based on the information extracted from the user gestures.This proposed research was implemented in three phases using a quasi-experimental design that in turn incorporates pre-test and post-test for investigating the behavior of experimental and control group considered from the respondents. In the first phase, the initial evaluation of the learner’s skill is achieved. The second phase used the developed technology in order to identify diversified parameters in different dimensions that contribute towards the assessment of working memory and primitive mathematical capabilities. Finally, the third phase is responsible for actual evaluation. In the phases of evaluation, four working memory tests such as forward Corsi Blocking-Tapping test, backward Corsi Blocking-Tapping test, Forward Digit Span test and backwardDigit Span test was conducted. In addition, the evaluation was also conducted for assessing primitive mathematical skill of children using TEDI-MATH. The results confirmed that Gesture Interactive Game-Based Learning (GIGL) used by the children exhibited a predominant improvement in the working memory and primitive mathematical skills on par with their usual school activities.
Volume: 21
Issue: 2
Page: 768-775
Publish at: 2021-02-01

Modeling and real time digital simulation of microgrids for campuses Malta and Jordan based on multiple distributed energy resources

10.11591/ijeecs.v21.i2.pp657-672
Sidahmed Khiat , Abdelkader Chaker , Lazaros Zacharia , Ahmed Onen
This paper presents the modeling and real-time digital simulation of two microgrids: the malta college of arts, science and technology (MCAST) and the german jordan university (GJU). The aim is to provide an overview of future microgrid situation and capabilities with the benefits of integrating renewable energy sources (RES), such as photovoltaic panels, diesel generators and energy storage systems for projects on both campuses. The significance of this work starts with the fact that real measurements were used from the two pilots, obtained by measuring the real physical systems. These measures were used to plan different solutions regarding RES and energy storage system (ESS) topologies and sizes. Also, the demand curves for the real microgrids of MCAST and GJU have been parameterized, which may serve as a test bed for other studies in this area. Based on actual data collected from the two pilots, a real-time digital simulation is performed using an RT-LAB platform. The results obtained by this tool allow the microgrid manager to have a very accurate vision of the facility operation, in terms of power flow and default responses.  Several scenarios are studied, extracting valuable insight for implementing both projects in the future. Eventually, the proposed models would be a blueprint for training and research purposes in the microgrid field.
Volume: 21
Issue: 2
Page: 657-672
Publish at: 2021-02-01

Fingerprint positioning of users devices in long term evolution cellular network using K nearest neighbour algorithm

10.11591/ijece.v11i1.pp528-535
Mohammed J. Alhasan , Sarmad Muneer Abdulhussein , Ali H. K. Khwayyir
The rapid exponential growth in wireless technologies and the need for public safety has led to increasing demand for location-based services. Terrestrial cellular networks can offer acceptable position estimation for users that can meet the statutory requirements set by the Federal Communications Commission in case of network-based positioning, for safety regulations. In this study, the proposed radio frequency pattern matching (RFPM) method is implemented and tested to determine a user’s location effectively. The RFPM method has been tested and validated in two different environment. The evaluations show remarkable results especially in the Micro cell scenario, at 67% of positioning error 15m and at 90% 31.78m for Micro cell scenario, with results of 75.66m at 67% and 141.4m at 90% for Macro cell scenario.
Volume: 11
Issue: 1
Page: 528-535
Publish at: 2021-02-01

Differential evolution detection models for SMS spam

10.11591/ijece.v11i1.pp596-601
Sarab M. Hameed
With the growth of mobile phones, short message service (SMS) became an essential text communication service. However, the low cost and ease use of SMS led to an increase in SMS Spam. In this paper, the characteristics of SMS spam has studied and a set of features has introduced to get rid of SMS spam. In addition, the problem of SMS spam detection was addressed as a clustering analysis that requires a metaheuristic algorithm to find the clustering structures. Three differential evolution variants viz DE/rand/1, jDE/rand/1, jDE/best/1, are adopted for solving the SMS spam problem. Experimental results illustrate that the jDE/best/1 produces best results over other variants in terms of accuracy, false-positive rate and false-negative rate. Moreover, it surpasses the baseline methods.
Volume: 11
Issue: 1
Page: 596-601
Publish at: 2021-02-01

Determining an optimum zone radius for zone routing protocol (ZRP) based on node mobility

10.11591/ijeecs.v21.i2.pp1230-1237
Khalid W. Al-Ani , Salman Yussof , Hussein M. Haglan , Hothefa Shaker , Linda Mahdi Alani
Mobility is one of the important issues in Mobile Ad hoc Networks (MANET). By definition, MANET nodes are free to move around and this may cause difficulty in routing. MANET routing protocols must consider this factor when making routing decision. Zone Routing Protocol (ZRP) is a hybrid routing protocol, which utilizes the proactive and reactive routing protocols advantages. ZRP proactively maintains routing information within a routing zone, while reactively discovering routes to destinations beyond the routing zone. Since ZRP is based on the concept of routing zone, determining an optimum routing zone radius has the major impact on the performance of that protocol. In this research, we studied the effect of zone radius on the performance of ZRP with different levels of node mobility. Node mobility is defined using two different parameters: node speed and pause time. Based on the simulation results, ZRP protocol using zone radius of two provides the best packet delivery fraction, throughput and normalized routing load. However, a larger zone radius will provide a lower delay.
Volume: 21
Issue: 2
Page: 1230-1237
Publish at: 2021-02-01

M-ary phase-shift keying using finite impulse response filter based on window function method

10.11591/ijece.v11i1.pp451-457
Raed S. M. Daraghma
Digital filters are vastly utilized in the area of communication. A perfect digital filter efficiency is significant and hence to design a digital finite impulse response filter (FIR) favorable all the wanted situations is necessary. In this paper, a new proposed FIR digital filter designed, the fineness of the submitted filter is tested in terms of BER and then matched with another window, namely Hamming, Hanning, and Blackman. The design procedure done in the MATLAB software. It is concluded that the Blackman window is the best window to design the FIR digital filter, because it is bit error rate is better than another window.
Volume: 11
Issue: 1
Page: 451-457
Publish at: 2021-02-01

Dynamic state estimation of multi-machine power system with UPFC using EKF algorithm

10.11591/ijeecs.v21.i2.pp642-646
Meera R Karamta , Jitendra G Jamnani
Estimation of dynamic state variables in a multi-machine power system connected with UPFC is presented in this paper, using Extended Kalman filter (EKF) algorithm. A two-generator test case is used to estimate the generator rotor angle and rotor speed. The DC link voltage of the UPFC is the additional state variable to be estimated. Dynamic mathematical modeling of the multi-machine system with UPFC is explained in this work. DSE is done under transient condition of three-phase fault.
Volume: 21
Issue: 2
Page: 642-646
Publish at: 2021-02-01

Revealing and evaluating the influence of filters position in cascaded filter: application on the ECG de-noising performance disparity

10.11591/ijeecs.v21.i2.pp829-838
Abdenour Allali , Arres Bartil , Lahcene Ziet , Amar Hebibi
In this paper, a new optimization on windowing technique based on finite impulse response (FIR) filters is proposed for revealing and evaluating the Influence of filters position in cascaded filter tested on the ECG signal de-noising. baseline wander (BLW), power line interference (PLI) and electromyography (EMG) noises are getting removed. The performance of the adopted method is evaluated on the PTB diagnostic database. Subsequently, the comparisons are based on signal to noise ratio (SNR) improvement and mean square error (MSE) minimization. Where the Rectangular, and Kaiser windows have been used for the more potent performances. The disparity average (DA) of SNR values is detected; in both Kaiser and Rectangular windows are assessed by ±0.38046dB and ±0.70278dB respectively, while the MSE values were constant. The excellent configuration or filters position (H-B-L) of the filtration system is selected according to high measurements of SNR and low MSE too, to de-noise the ECG signals. First of all, this applied approach has led to 31.30 dB SNR improvement with MSE minimization of 26. 43%. This means that there is a significant contribution to improving the field of filtration.
Volume: 21
Issue: 2
Page: 829-838
Publish at: 2021-02-01

Smart job searching system based on information retrieval techniques and similarity of fuzzy parameterized sets

10.11591/ijece.v11i1.pp636-645
Malek Alksasbeh , Tamer Abukhalil , Bassam A. Y. Alqaralleh , Mohammed Al-kaseasbeh
Job searching for the proper vacancy among several choices is one of the most important decision-making problems. The necessity of dealing with uncertainty in such real-world problems has been a long-term research challenge which has originated from different methodologies and theories. The main contribution of this work is to match the applicant curriculum vitae (CV) with the best available job opportunities based on certain criteria. The proposed job searching system (JSS) implements a series of approaches which can be broken down into segmentation, tokenization, part of speech, gazetteer, and fuzzy inference to extract and arrange the required data from the job announcements and CV. Moreover, this study designs a fuzzy parameterized structure to store such data as well as a measuring tool to calculate the degree of similarity between the job requirements and the applicant’s CV. In addition, this system analyses the computed similarity scores in order to get the optimal job opportunities for the job seeker in descending order. The performance evaluation of the proposed system shows high recall and precision percentages for the matching process. The results also confirm the viability of the JSS approach in handling the fuzziness that is associated with the problem of job searching.
Volume: 11
Issue: 1
Page: 636-645
Publish at: 2021-02-01
1 2 3
...
2097 2098
Show 1114 of 2098

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration