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29,922 Article Results

SMC based DTC-SVM control of five-phase permanent magnet synchronous motor drive

10.11591/ijeecs.v20.i1.pp100-108
Fayçal Mehedi , Rachid Taleb , Abdelkadir Belhadj Djilali , Adil Yahdou
This article presents an improved direct torque control (DTC) technique with space vector modulation (SVM) for a five-phase permanent magnet synchronous motor (PMSM) using a sliding mode speed control (SMC).The proposed control scheme of the five-phase PMSM combines the advantages of SMC control and the SVM algorithm. The SMC method insensitive to uncertainties, in particular external disturbances and parameter variations. In this paper, the SMC controller is used to control the rotor speed of the five-phase PMSM based on DTC-SVM. The rotor speed response, torque and stator flux are determined and compared with traditional control method. The simulations results confirm the validity and effectiveness of the proposed control technique in terms of performance and robustness against machine parameter variations (inertia variation). The efficiency of the proposed method applied on the five-phase PMSM is verified by the MATLAB/Simulink.
Volume: 20
Issue: 1
Page: 100-108
Publish at: 2020-10-01

Error bounds for wireless localization in NLOS environments

10.11591/ijece.v10i5.pp5535-5545
Omotayo Oshiga , Ali Nyangwarimam Obadiah
An efficient and accurate method to evaluate the fundamental error bounds for wireless sen-sor localization is proposed. While there already exist efficient tools like Cram`er-Rao lower bound (CRLB) and position error bound (PEB) to estimate error limits, in their standard formulation they all need an accurate knowledge of the statistic of the ranging error. This requirement, under Non-Line-of-Sight (NLOS) environments, is impossible to be met a priori. Therefore, it is shown that collecting a small number of samples from each link and applying them to a non-parametric estimator, like the Gaussian kernel (GK), could lead to a quite accurate reconstruction of the error distribution. A proposed Edgeworth Expansion method is employed to reconstruct the error statistic in a much more efficient way with respect to the GK. It is shown that with this method, it is possible to get fundamental error bounds almost as accurate as the theoretical case, i.e. when a priori knowledge of the error distribution is available. Therein, a technique to determine fundamental error limits – CRLB and PEB – onsite without knowledge of the statistics of the ranging errors is proposed.
Volume: 10
Issue: 5
Page: 5535-5545
Publish at: 2020-10-01

Y2O3:Ho3+ and ZnO:Bi3+: a selection for enhancing color quality and luminous flux of WLEDs

10.11591/ijece.v10i5.pp5162-5167
Nguyen Thi Phuong Loan , Nguyen Doan Quoc Anh
As the luminescence industry develops, the white light light-emitting diode (LED) package with a single chip and a single phosphor although produces good luminous flux but has a poor color rendering index (CRI) can no longer fulfill the requirements of modern lighting applications. Therefore, this research is conducted to response to the urgent demands of improving other lighting qualities of WLED while maintaining high luminous efficiency. To achieve this target, we applied the new WLED package, which contains multi-chips and multi-phosphor layers, and have obtained outstanding results in both CRI and luminous efficacy. Two types of phosphor used in the WLED package are Y2O3:Ho3+ and ZnO:Bi3+. A color configuration model is also developed to adjust the shading of the white-light LED module. The results of this research show that the triple-layer phosphorhas the best performance when applied in a white-light LED package, which is demonstrated through better color quality, CRI and luminous efficacy, The manufacturers can rely on this research to produce the optimal-quality WLED, or WLED that is appropriate to their quality demands.
Volume: 10
Issue: 5
Page: 5162-5167
Publish at: 2020-10-01

A new dynamic speech encryption algorithm based on lorenz chaotic map over internet protocol

10.11591/ijece.v10i5.pp4824-4834
Obaida M. Al-hazaimeh
This paper introduces a dynamic speech encryption algorithm based on Lorenz chaotic map over internet protocol to enhance the services of the real-time applications such as increases the security level and reduces latency. The proposed algorithm was divided into two processes: dynamic key generation process using 128-bit hash value to dynamically alter the initial secret keys, and encryption and decryption process using Lorenz system. In the proposed algorithm, the performance evaluation is carried out through efficient simulations and implementations and statistical analysis. In addition, the average time delay in the proposed algorithm and some of the existing algorithms such as AES is compared. The obtained results concluded that, the proposed dynamic speech encryption algorithm is effectually secured against various cryptanalysis attacks and has useful cryptographic properties such as confusion and diffusion for better voice communication in the voice applications field in the Internet.
Volume: 10
Issue: 5
Page: 4824-4834
Publish at: 2020-10-01

A novel comprehensive database for arabic and english off-line handwritten digits recognition

10.11591/ijeecs.v20.i1.pp145-149
Ahmed Subhi Abdalkafor , Waleed Kareem Awad , Khattab M. Ali Alheeti
The recognition of Arabic handwritten is received at the same interest as other Latin languages. In optical character recognition (OCR), handwriting Arabic recognition is considered as one of the critical and difficult tasks in the various scientific area. The main issues of this matter were due to the lack of public Arabic handwriting databases and the cursive nature of Arabic writing. In this paper, a new benchmark database is built for the Arabic and English off-line handwritten digits Recognition. The original form is divided into three groups: Arabic digits, English digits, and word Arabic digits which written five times by 100 different academic staff and students of university writers. Our database contains 14500 images; divided into two subsets of training and testing to help researchers through evaluating and comparing results obtained from their systems. 
Volume: 20
Issue: 1
Page: 145-149
Publish at: 2020-10-01

The Effects of ZnO particles on the color homogeneity of phosphor-converted high-power white LED light sources

10.11591/ijece.v10i5.pp5155-5161
Nguyen Thi Phuong Loan , Nguyen Doan Quoc Anh
Color homogeneity is one of the goals to continuously improve WLED. Among the methods for enhancing the color uniformity of WLEDs, improving scattering in phosphor layer is considered to be the most effective. In this paper, ZnO is used for that purpose. The results show that ZnO particle size significantly affects scattering in the phosphor layer, which is a vital factor to analyze scattering, scattering sand surface, scattering coefficient and scattered phase function C_sca (D,λ), μ_sca (λ) and ρ(θ,λ). In addition, the concentration of ZnO was also analyzed with values from 2% to 22%. Color homogeneity depends not only on size but also on the concentration of added ZnO. Therefore, color homogeneity control is the control of ZnO size and concentration. The proposed result is 10% ZnO for the highest lumen of LED. With 14% and 500 nm of ZnO particles, ΔCCT reaches the lowest. Depending on the production needs, manufacturers can choose the most appropriate way. However, with both required lumen and ΔCCT, 14% ZnO is suitable for ZnO sizes.
Volume: 10
Issue: 5
Page: 5155-5161
Publish at: 2020-10-01

Smart urban farming service model with IoT based open platform

10.11591/ijeecs.v20.i1.pp320-328
Am Suk Oh
Smart and efficient agricultural production or smart farming using IoT sensors, big-data and cloud service has proven its value for a decade but the effect depends on the agricultural environment of the country or society. In Korea, the population of urban farmers who utilizes small, possibly shared area in farming. Urban farming uses rooftop of the building or even indoor for cropping and many urban farmers may not have sufficient professional farming experiences. However, with information technology like cloud service, many critical farming process can be automated and requires minimal human intervention in monitoring and controlling sensors. In this paper, we propose a smart urban farming model which modifies TTA smart greenhouse standard such that cloud service us integrated with IoT sensors. The hardware design of integrated controller and subsequent software services are specified. This new model can be used to enhance smart urban farming which is one of top 10 agricultural policy of the government.
Volume: 20
Issue: 1
Page: 320-328
Publish at: 2020-10-01

Assisted learning of C programming through automated program repair and feed-back generation

10.11591/ijeecs.v20.i1.pp454-464
Sara Mernissi Arifi , Rachid Ben Abbou , Azeddine Zahi
Programming courses are among all the current academic curricula for engineering studies. Unfortunately, students often face difficulties already on the basic concepts. Both students and teachers believe that practical sessions and guided learning lead to good outcomes. On the other hand, it is virtually difficult considering the number of students enrolled on programming courses. This paper presents an automated assessment system for programming assignments, based on two different methods: static and dynamic analysis. The presented system aims at providing the student with an ongoing and various feedback delivered according to the category and the recurrence of errors. The system imbeds an automated error repairing feature for the purposes of insuring the assessment process achievement. It operates if the student fails to submit a correct program despite the feed-back provided by the system. In such cases, the system uses a penalty mechanism, customized by the teacher to grade the student’s program. Testing the presented automated system, through assessing real students’ assignments, showed promising results compared to manual assessment.
Volume: 20
Issue: 1
Page: 454-464
Publish at: 2020-10-01

Data science for digital culture improvement in higher education using K-means clustering and text analytics

10.11591/ijece.v10i5.pp4569-4580
Dian Sa'adillah Maylawati , Tedi Priatna , Hamdan Sugilar , Muhammad Ali Ramdhani
This study aims to investigate the meaningful pattern that can be used to improve digital culture in higher education based on parameters of the technology acceptance model (TAM). The methodology used is the data mining technique with K-means algorithm and text analytics. The experiment using questionnaire data with 2887 respondents in Universitas Islam Negeri (UIN) Sunan Gunung Djati Bandung. The data analysis and clustering result show that the perceived usefulness and behavioral intention to use information systems are above the normal value, while the perceived ease of use and actual system use is quite low. Strengthened with text analytics, this research found that the EDA and K-means result in harmony with the hope or desire of academic society the information system implementation. This research also found how important the socialization and guidance of information systems, especially the new one information system, in order to improve digital culture in higher education.
Volume: 10
Issue: 5
Page: 4569-4580
Publish at: 2020-10-01

Design of L-S band broadband power amplifier using microstip lines

10.11591/ijece.v10i5.pp5400-5408
Mohamed Ribate , Rachid Mandry , Jamal Zbitou , Larbi El Abdellaoui , Ahmed Errkik , Mohamed Latrach , Ahmed Lakhssassi
This contribution introduces a novel broadband power amplifier design, operating in the frequency band ranging from 1.5 GHz to 3 GHz which cover the mainstream applications running in L and S bands. Both matching and biasing networks are synthesized by using microstrip transmission lines. In order to provide a wide bandwidth, two broadband matching techniques are deployed for this purpose, the first technique is an approximate transformation of a previously designed lumped elements matching networks into microstrip matching circuits, and the second technique is a binomial multi-sections quarter wave impedance transformer. The proposed work is based on ATF-13786 active device. The simulation results depict a maximum power gain of 16.40 dB with an excellent input and output matching across 1.5 GHz ~ 3 GHz. At 2.2 GHz, the introduced BPA achieves a saturated output power of 16.26 dBm with a PAE of 21.74%, and a 1-dB compression point of 4.5 dBm input power level. The whole circuitry is unconditionally stable over the overall bandwidth. By considering the broadband matching, the proposed design compares positively with the most recently published BPA.
Volume: 10
Issue: 5
Page: 5400-5408
Publish at: 2020-10-01

Efficient time reversal strategy for MISO-OFDM systems

10.11591/ijeecs.v20.i1.pp239-247
Issam Maaz , Samer Alabed
In this work, we are interested in implementing, developing, and evaluating a time reversal strategy for a multiple-input single-output orthogonal frequency division multiplexing system. This strategy enjoys a good trade-off between the computational complexity and performance in terms of bit error rate where it offers a good coding gain by forming a beam in the direction of the destination at a price of channel state information available at the transmitter. In time reversal technique, a higher coding and diversity gain can be achieved by increasing the number of transmitting antennas, which focuses the formed beam to the direction of the destination antenna. By achieving this, the received signal-to-noise ratio can be maximized which makes time reversal a good candidate for multiple-input single-output systems while keeping a low complexity. The performance of the proposed system is evaluated in terms of bit error rate where our simulations show that the proposed strategy enjoys the full diversity gain, which is equal to the number of transmitting antennas. Moreover, a robust channel estimation technique is proposed to improve the overall system in terms of bit error rate.
Volume: 20
Issue: 1
Page: 239-247
Publish at: 2020-10-01

Benchmarking open source deep learning frameworks

10.11591/ijece.v10i5.pp5479-5486
Ghadeer Al-Bdour , Raffi Al-Qurran , Mahmoud Al-Ayyoub , Ali Shatnawi
Deep Learning (DL) is one of the hottest fields. To foster the growth of DL, several open source frameworks appeared providing implementations of the most common DL algorithms. These frameworks vary in the algorithms they support and in the quality of their implementations. The purpose of this work is to provide a qualitative and quantitative comparison among three such frameworks: TensorFlow, Theano and CNTK. To ensure that our study is as comprehensive as possible, we consider multiple benchmark datasets from different fields (image processing, NLP, etc.) and measure the performance of the frameworks' implementations of different DL algorithms. For most of our experiments, we find out that CNTK's implementations are superior to the other ones under consideration.
Volume: 10
Issue: 5
Page: 5479-5486
Publish at: 2020-10-01

Improvements of trapezoid antenna gain using artificial magnetic conductor and frequency selective surface

10.11591/ijeecs.v20.i1.pp281-286
Siti Adlina Md Ali , Maisarah Abu , Siti Normi Zabri
This paper presents the performance enhancement of the trapezoid antenna with artificial magnetic conductor (AMC) and frequency selective surface (FSS). The antenna, AMC and FSS structures are printed on 0.254 mm of RT/Duroid 5880 high frequency laminate. The performances of the antenna with and without AMC and FSS were evaluated. Three cases are analyzed; antenna alone, antenna with AMC and antenna with AMC-FSS. The 2x3 arrays of AMC and AMC-FSS were positioned at the back of the antenna with 6 mm air gap. The antenna alone works at 12 GHz, and shifted to 12.35 GHz and 12.33 GHz for case 2 and case 3, respectively. Despite the shift in the resonance, the antenna is still operating well at 12 GHz with a return loss –16.70 dB for case 2 and–16.84 dB for case 3. Case 3 effectively enhanced the antenna gain from 4.43 dB to 6.74 dB and contributed to a directive antenna. Moreover, case 3 also successfully reduced the radiation of the antenna that penetrates into human body as the antenna is applied for on-body applications. 
Volume: 20
Issue: 1
Page: 281-286
Publish at: 2020-10-01

Unequal clustering algorithm with IDA* multi-hop routing to prevent hot spot problem in WSNs

10.11591/ijeecs.v20.i1.pp445-453
Ahmed A. Alkadhmawee , Mohammed A. Altaha , Wisam Mahmood Lafta
Energy conservation techniques are considered as the primary means of lengthening the lifetime of wireless sensor networks (WSNs). Clustering is a useful technique that achieves long-term operation of the network. Cluster heads that are near the base station are expected to die early because they are responsible for collecting data that comes from far away in addition to their own data, thereby leading to problem of hot spot in the WSN.This paper presents a new protocol that uses an unequal clustering algorithm with an IDA* routing method to address the hot spot problem. The base station divides the network into three levels of unequal sizes of clusters. The base station takes into consideration the energy level and the distance from the base station for cluster-head selection in each cluster. The cluster head will be changed based on the energy threshold for each cluster. The proposed method uses an IDA* algorithm for efficient multi-hop routing in the network. The uneven clustering algorithm reduces the energy consumption of the nodes, thereby minimising the hot spot problem. The obtained simulation results prove that our approach increases the load balancing, improves the stability and prolongs the network lifetime compared with other related approaches. 
Volume: 20
Issue: 1
Page: 445-453
Publish at: 2020-10-01

ICT-supported for participatory engagement within E-learning community

10.11591/ijeecs.v20.i1.pp492-499
Noor Hida Natrah Aziz , Haryani Haron , Afdallyna Fathiyah Harun
This paper presents ICT-supported for participatory engagement learning within the e-learning community. Effectively tools in e-Learning facilitate interactive learning and the achievement of desired learning outcomes for learners. However, the intensity of its usage is not very remarkable; there is a need to understand ICT- supported for learners from the perspectives of participatory engagement. Therefore, integrating suitable technology into e-learning is expected to strengthen learner's engagement within the e-learning community. The objective of the study is to identify technology that could effectively support learners' engagement. This study analyzes the available technology in the market to integrate into e-learning using the technology evaluation process. Interview sessions with experts were held to validated and suggested other technology uses in e-learning. This research is carrying out with three experts (academic staff) of the e-technologies within the University. This study uses semi-structured interviews to captured expert suggestions, knowledge, and expertise about technologies. Understanding learner's requirements toward technology are essential to ensure learners can reap the benefits of technology usage.  This study uses a thematical analysis to identify and organize key themes from qualitative data. The result reveals mobile technology, wireless technology, live streaming technology, authoring tool, summative assessment, cloud computing, gamification and Instagram is suitable technologies that support participatory engagement activities.
Volume: 20
Issue: 1
Page: 492-499
Publish at: 2020-10-01
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