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29,734 Article Results

Adaptive filter-FLC integration for torque ripples minimization in PMSM using PSO

10.11591/ijpeds.v10.i1.pp48-57
Yasser Ahmed , Ayman Hoballah
The article presents torque and flux ripples minimization based on adaptive filter. The adaptive filter coefficients optimized and adapted on line by using particle swarm optimization (PSO) technique. The proposed methodology applied on closed loop speed control based on direct torque control (DTC) for surface mounted permanent magnet synchronous motor (PMSM). Fuzzy logic controller (FLC) used as speed controller while proportional-integral (PI) controller used as torque and flux controllers. Second order infinite impulse response (IIR) filter is used for ripple reduction generated due to FLC. The drive system modeled using Matlab/Simulink software in order to dynamically evaluate the performance of the proposed drive system at different operating conditions. The results provide evidence that the adaptive filter-FLC integration with optimal coefficients minimizes torque and flux ripples with reduction of total harmonic distortion generated in the three-phase currents.
Volume: 10
Issue: 1
Page: 48-57
Publish at: 2019-03-01

Occupational anxiety and self-efficacy levels among prospective teachers

10.11591/ijere.v8i1.18213
Şule Fırat Durdukoca , Tazegül Demir Atalay
This study examined the relationship between occupational anxiety and self-efficacy levels of prospective teachers enrolled in pedagogical formation training certificate program at the faculty of education in universities under the Council of Higher Education to teach in secondary schools and high schools in Turkey, and evaluated them based on diverse variables (gender, department, high school type, educational level of parents). It was a descriptive study using survey model. The study group comprised 236 prospective teachers. Research data were gathered through “Teaching Occupation Anxiety Scale” and “Teachers’ Sense of Efficacy Scale”. The study concluded that the prospective teachers’ anxiety about the teaching profession was low, whereas they had high occupational self-efficacy, and there was a moderate, negative relationship between the two variables. The study also found that occupational self-efficacy levels of the participants differed in relation to the educational level of father.
Volume: 8
Issue: 1
Page: 173-180
Publish at: 2019-03-01

Review of three-phase inverters control for unbalanced load compensation

10.11591/ijpeds.v10.i1.pp242-255
Raef Aboelsaud , A. Ibrahim , Alexander G. Garganeev
In the microgrid systems, three-phase inverter becomes the main power electronic interface for renewable distributed energy resources (DERs), especially for the islanded microgrids in which the power quality is easily affected by unbalanced and nonlinear loads, this is due to the fact that the voltage and frequency of the microgrid are not supported by the main power grid but determined only by the inverters. Therefore, the compensation of the load unbalances and harmonics in autonomous microgrid inverters are getting more attention in power quality research areas. The main purpose of this paper is to represent an overview of the control strategies of various inverters for unbalanced load compensation
Volume: 10
Issue: 1
Page: 242-255
Publish at: 2019-03-01

Creating and utilizing spaces to enhance intergenerational learning at schools and results

10.11591/ijere.v8i1.15914
Soner Polat , Yıldız Okçu , Çağlar Çelik
The purpose of the study was to explore the requirements of schools to increase intergenerational learning, collaboration and solidarity amongst the Baby Boomers, X and Y generations, based on the views of school principals. The research focused on how to create spaces for interaction among different generations and what consequences will arise when intergenerational spaces are created. This study was conducted with phenomenological research design. The study group consisted of 12 school principals who were identified with the maximum diversity sampling technique from Kocaeli Province, Dilovasi District. Criteria used in the selection of school principals were to work as managers in different schools and in different school types. The data were collected with a semi-structured interview form and the content analysis method was used. Interview questions were determined by researchers in the direction of research questions. Creation of intergenerational space is the main topic of this study whereas subtopics are scope and opportunities. On the other hand, findings collected indicate that principals mention intramural and out of school events about the creation of intergenerational space. These events are met under the titles of sports, art, entertainments and educational space. Finally, the results of creating spaces were examined in the study.
Volume: 8
Issue: 1
Page: 1-8
Publish at: 2019-03-01

A categorical data analysis of impact of biogas on women of rural households – with examples from Nepal

10.11591/ijaas.v8.i1.pp34-43
Jyoti U. Devkota
This paper is based on primary data collected from 400 households of biogas consumers. A detailed structured questionnaire was developed and pretested. Here response to each question was given as a multiple choice option resulting in more than 450 categorical data. These variables studied various aspects of households using biogas. The results focused on women of these households. Interrelationships between several other variables including the role of a woman in various decisions related to the plant were analyzed. Logistic regression of decision making of woman on several variables including asset index of the family was done. This asset index was calculated from the principle component analysis of socio-economic variables. The family dynamics in the choice of biogas as renewable energy source was quantified using odds ratio and regression coefficients. The interdependence between variables was tested using Chi square test of Independence of Attributes. A novel data based approach of generation and analysis of categorical data is demonstrated here. The suitability of generation of categorical data in the absence of accurate measurement instruments is highlighted. This method is also suitable for countries without a strong backbone of good quality official records, and provides a good backup data for official statistics.
Volume: 8
Issue: 1
Page: 34-43
Publish at: 2019-03-01

A novel self-tuning fractional order PID control based on optimal model reference adaptive system

10.11591/ijpeds.v10.i1.pp230-241
Mohamed Abdelbar Shamseldin , Mohamed Sallam , Abdel Halim Bassiuny , A. M. Abdel Ghany
This paper presents a novel self-tuning fractional order PID (FOPID) control based on optimal Model Reference Adaptive Control (MRAC). The proposed control technique has subjected to a third order system case study (power system load frequency control). The model reference describes the requirements of designer. It can be first or second order system. The parameters of MRAC have obtained using the harmony search (HS) optimization technique to achieve the optimal performance. Sometimes, the tuning of the five parameters of FOPID control online at same moment consumes more calculation time and more processing. So, this study proposes three methods for self-tuning FOPID control. The first method has been implemented to tune the two integral and derivative parameters only and the rest of parameters are fixed. The second method has been designed to adjust the proportional, integral derivative parameters while the other fractional parameters are constant. The last method has developed to adjust the five parameters of FOPID control simultaneously. The simulation results illustrate that the third method of self-tuning FOPID control can accommodate the sudden disturbance compared to other techniques. Also, it can absorb the system uncertainty better than the other control techniques.
Volume: 10
Issue: 1
Page: 230-241
Publish at: 2019-03-01

Design of amplitude and phase modulated pulse trains with good auttocorrelation properties for radar communications

10.11591/ijeecs.v13.i3.pp990-998
S.J Rosli , H.A. Rahim , K.N. Abdul Rani
Development of technique for synthesizing multilevel sequences with good correlation properties is very useful for several radar applications where as a set of phase and amplitude coded sequences will be synthesized directly for compression technique. In reality, the signal processing also been significant to transmit or store signals, to enhance desired signal component and to extract useful information carried by signals. Consequently, this paper describes affectively methods to generating the finite length multilevel sequence of any length that have low side lobe energy (SLE) and improved energy ratio (ER) in their autocorrelation function (ACF). Testing for the stability and the analyzing of systems zero pattern using z-transform for the generating sequence indicates a possible position of roots in the radius of circle lies. This is illustrated by application of 13-element Huffman code as a starting sequence, this technique more low complexity and compatible compared inverse filtering technique.
Volume: 13
Issue: 3
Page: 990-998
Publish at: 2019-03-01

The presence and persistence of entrepreneurship education In Indonesia: a cross sectional study

10.11591/ijere.v8i1.16528
Ambara Purusottama , Teddy Trilaksono
This study aims to improve an understanding of the contribution of entrepreneurship education (EE) in Indonesia’s higher education. Even though the contribution of EE to global education is contested at the present time by many scholars, the evaluation of EE implementation in Indonesia is necessary in order to improve educated entrepreneurs. The study used a cross-sectional approach in the Universitas Prasetiya Mulya which is divided into the first, second, and third years. Valid questionnaire reached 924 respondents. The findings show that EE's contribution in Indonesia has more influence on attitudes and perceived behavioral control. However, other findings indicate that the contribution of EE is still not fully persistent due to a sharp decline in the regression coefficient, especially from subjective norm and perceived behavioral control in the students third year while attitude consistently contributes significant role and has an increasing contribution.
Volume: 8
Issue: 1
Page: 71-80
Publish at: 2019-03-01

Interlaboratory data fusion repository system (InDFuRS) for tocotrienols-based treatment

10.11591/ijeecs.v13.i3.pp1130-1135
Norhaslinda Kamaruddin , Abdul Wahab
Tocotrienols and tocopherols are part of the vitamin E family and have shown to produce lots of benefits especially in health supplement product. Both tocotrienols and tocopherols exist in an edible oil but varies in their ratio. It is also observed that percentage of tocopherols is higher than tocotrienols in most of our diet. Recent researches have found that tocotrienols seems to have more benefit to health especially for delaying neuro-degeneration and this has led researchers to investigate tocotrienols rich fraction (TRF) from palm kernel oil. To date, the tocotrienols extraction process is still work in progress. Hence, it is imperative that all information and results from the various laboratories experiments to be made available thus data analysis can be optimized for optimal tocotrinols production. Data acquisition from inter-laboratory experiments are valuable for collaborative researches. Efforts from multiple sources need to be combined to make it accessible for data integration. The sources of fused data can be employed as secondary back up once the data is migrated to a central repository. Traditionally data has been residing in silos across organization. Such scenario posed as a major problem especially when there are insufficient human and computational resources to manage such data. In addition, longitudinal data collections always suffer from mismanagement of the data where the data are not labeled properly using mismatched data formatting resulting to poor data readability. Therefore, a repository to facilitate data fusion using a systematic cloud-based system is proposed to ensure the data are accessible with maintained data uniformity and format and yet the security of the data is ensured as well as cost effective and fault tolerant. It is envisaged a better solution can be identified to minimize repetition of experiments and looking towards at advancement of extraction processes.
Volume: 13
Issue: 3
Page: 1130-1135
Publish at: 2019-03-01

Solution for optimal power flow problem in wind energy system using hybrid multi objective artificial physical optimization algorithm

10.11591/ijpeds.v10.i1.pp486-503
P. Nagalashmi
Normally, the character of the wind energy as a renewable energy sources has uncertainty in generation. To resolve the Optimal Power Flow (OPF) drawback, this paper proposed a replacement Hybrid Multi Objective Artificial Physical Optimization (HMOAPO) algorithmic rule, which does not require any management parameters compared to different meta-heuristic algorithms within the literature. Artificial Physical Optimization (APO), a moderately new population-based intelligence algorithm, shows fine performance on improvement issues. Moreover, this paper presents hybrid variety of Animal Migration Optimization (AMO) algorithmic rule to express the convergence characteristic of APO. The OPF drawback is taken into account with six totally different check cases, the effectiveness of the proposed HMOAPO technique is tested on IEEE 30-bus, IEEE 118-bus and IEEE 300-bus check system. The obtained results from the HMOAPO algorithm is compared with the other improvement techniques within the literature. The obtained comparison results indicate that proposed technique is effective to succeed in best resolution for the OPF drawback.
Volume: 10
Issue: 1
Page: 486-503
Publish at: 2019-03-01

The dynamics identification of asynchronous electric drives via frequency response

10.11591/ijpeds.v10.i1.pp66-73
Vladimir L. Kodkin , Aleksandr Sergeevich Anikin , Aleksandr A. Baldenkov
The article substantiates the necessity of identifying the dynamics of asynchronous electric drives with frequency control. It is proposed to use nonlinear transfer functions and the formula of a family of frequency responses of an electric drive, depending on the frequency of the stator voltage and slip. Experiments and simulations confirming theoretical conclusions are presented. The frequency responses of the drive of the stand calculated by the proposed method allowed to explain those problems of frequency control that were not explained by traditional methods - analytical, vector diagrams, substitution schemes, etc. This same technique allowed us to formulate a structural correction of the asynchronous electric drives. In contrast to the previously published research materials of asynchronous electric drives, a detailed qualitative analysis of the obtained nonlinear frequency responses and the interrelation of these characteristics with experimental results is shown for the first time in the article.
Volume: 10
Issue: 1
Page: 66-73
Publish at: 2019-03-01

Coupled random PWM technique for dual inverter fed induction motor drive

10.11591/ijpeds.v10.i1.pp58-65
Syed Munvar Ali , V. Vijaya kumar Reddy , M. Surya Kalavathi
Dual inverter fed induction motor drives provide more advantages in contrast with other multilevel inverter drives. Coupled PWM techniques provide good standard of output voltage than the decoupled PWM techniques for dual inverter configuration. In this paper analysis of open end winding induction motor by coupled random PWM signals and decoupled SVPWM signals was carried out. Induction motor by random PWM technique generate low acoustic noise and electromagnetic interference to near by systems. The performance evaluation of the drive wss implemented in MATLAB/simulink and the results were presented.
Volume: 10
Issue: 1
Page: 58-65
Publish at: 2019-03-01

Performance investigation of multi-level inverter for DFIG during grid autoreclosure operation

10.11591/ijpeds.v10.i1.pp454-462
Mahrous Ahmed , Mohamed K. Metwaly , Nagy Elkalashy
This paper aims to study the multi-level inverter (MLI) fed the widely used doubly-fed induction generators (DFIG). The new DFIG generator connected to the electrical grid is evaluated during single-pole autoreclosure operation to continue the generator support to the system. The effect of using MLI on the performance of the DFIG system during the dynamic operation of the autoreclosure is studied for the first time and integrating a new MLI during the fault and clearing periods. A dynamic arc model is represented depending on Kizilcay model. Furthermore, the dynamics performance of the DFIG during integration with MLI to improve the performance is studied. The MLI is preferred because of processing high power with high resolution of the voltage waveforms and lower stresses on switches. The MLI enhances the performance of DFIG-based generating system associated with electrical grid system in case of single-pole autoreclosure. The proposed cases of studies are simulated using Matlab/Simulink to evaluate the proposed system performance during the autoreclosure operation for faults in double-circuit transmission systems.
Volume: 10
Issue: 1
Page: 454-462
Publish at: 2019-03-01

Measurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia

10.11591/ijeecs.v13.i3.pp1286-1293
Norsuzila Ya’acob , Noraisyah Tajudin , Mashira Meri @ Mohamad Zamiri , Azita Laily Yusof , Suzi Seroja Sarnin , Azlina Idris
DVB-T2 (Digital Video Broadcasting – Second Generation Terrestrial) is one of the latest technical standards being developed by the DVB Project for DTT (Digital Terrestrial Television). It is also known as digital broadcasting trough terrestrial system since 2006 and is an extension of the DVB-T system as a second generation program to improve efficiency of the total system.  It is important to perform a research on the performance of DVB-T2 because Malaysia has launched the free-to-air digital TV project since 2016 hence there is a need to know how well the signal is being received by viewers. This research focuses on a DVB-T2 transmission process which involve the transmission from Menara Kuala Lumpur transmitter to receivers located at 100 different locations. The performance of DVB-T2 can be determined by measuring the field strength, MER (Module Error Ratio) and BERaLDPC (Bit Error Rate after Low Density Parity Check decoder), and then a comparison between DVB-T and DVB-T2 systems can be made.  Equipments involved in the measurement are indoor antenna, distribution amplifier, waveform monitor, field strength meter, DVB-T2 decoder and TV set as the receiver. Results are recorded in Microsoft Excel and analyzed using MATLAB software. The result of the measurement shows92% of the test points had higher reading than the baseline value which means better reception of digital TV signal is delivered to the location.Comparison between DVB-T and DVB-T2 performance shows that field strength of the DVB-T2 system is slightly higher by 1.5 % – 3.8 % from DVB-TMeasurement of digital video broadcasting-second generation terestrial (DVB-T2) signal in Kuala Lumpur, Malaysia
Volume: 13
Issue: 3
Page: 1286-1293
Publish at: 2019-03-01

Speech recognition of moroccan dialect using hidden markov models

10.11591/ijai.v8.i1.pp7-13
Bezoui Mouaz , Beni-hssane Abderrahim , Elmoutaouakkil Abdelmajid
This paper addresses the development of an Automatic Speech Recognition (ASR) system for the Moroccan Dialect. Dialectal Arabic (DA) refers to the day-to-day vernaculars spoken in the Arab world. In fact, Moroccan Dialect is very different from the Modern Standard Arabic (MSA) because it is highly influenced by the French Language. It is observed throughout all Arab countries that standard Arabic widely written and used for official speech, news papers, public administration and school but not used in everyday conversation and dialect is widely spoken in everyday life but almost never written. we propose to use the Mel Frequency Cepstral Coefficient (MFCC) features to specify the best speaker identification system. The extracted speech features are quantized to a number of centroids using vector quantization algorithm. These centroids constitute the codebook of that speaker. MFCC’s are calculated in training phase and again in testing phase. Speakers uttered same words once in a training session and once in a testing session later. The Euclidean distance between the MFCC’s of each speaker in training phase to the centroids of individual speaker in testing phase is measured and the speaker is identified according to the minimum Euclidean distance. The code is developed in the MATLAB environment and performs the identification satisfactorily.
Volume: 8
Issue: 1
Page: 7-13
Publish at: 2019-03-01
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