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31,377 Article Results

A parameter less stochastic optimization technique for tuning of speed PI controller of DTC induction motor drive

10.11591/ijra.v8i2.pp105-112
Naveen Goel , Saji Chacko , R. N. Patel
The Direct Torque Controlled (DTC) induction motor (IM) drives over the years have been the work force of industries. The popularity of this motor drive is due to the low cost and low maintenance of induction motor coupled with the fast dynamic response and simple control structure of direct torque control method. The robust performance of the DTC induction motor drive depends on the proper tuning of its speed controller. The proposed paper make use of the stochastic optimization technique namely the popular Harmony Search Algorithm and is compared with the parameter free Jaya Algorithm for tuning the gains of the speed proportional integral controller. Simulation studies in MATLAB/Simulink shows the success of the Jaya Optimization for improving the performance of DTC drive with respect to speed and torque peak over shoot and steady state error under different drive operating conditions.
Volume: 8
Issue: 2
Page: 105-112
Publish at: 2019-06-01

Authentic assessment increased academic achievement and attitude towards the educational measurement of prospective teachers

10.11591/ijere.v8i2.18564
Ceyhun Ozan
The aim of the study was to investigate the effect of authentic assessment on the attitudes of prospective teachers towards academic achievement and attitudes towards educational measurement and the opinions of prospective teachers on authentic assessment. In this study, the triangulation mixed design was used. In the quantitative dimension of the study, the study group consisted of prospective teachers studying in the education faculty of a state university in the 3rd grade of the Turkish education program of the 2016-2017 fall semesters. All prospective teachers in the experimental group filled in the unstructured diaries from which qualitative data were obtained and 12 of the prospective teachers in the experimental group were selected. Experimental processes were carried out during the 14-weeks assessment and evaluation course. In the experimental group, prospective teachers were given authentic assignments within the scope of the authentic task and alternative assessment practices were conducted. As a result of the study, it was determined that authentic assessment significantly increased the academic achievement and attitude towards the educational measurement of prospective teachers and also it’s an approach that can serve to provide cooperation between the theory and practice which is a major problem in the field of teacher training in Turkey.
Volume: 8
Issue: 2
Page: 299-312
Publish at: 2019-06-01

Intelligent tuned PID controller for wind energy conversion system with permanent magnet synchronous generator and AC-DC-AC converters

10.11591/ijra.v8i2.pp133-145
T. Muthukumari , T. A. Raghavendiran , R. Kalaivani , P. Selvaraj
This paper presents the intelligent tuned PID controller-based Single Ended Primary Inductor Converter (SEPIC) for Maximum Power Point Tracking (MPPT) operation of Wind Energy Conversion System (WECS). As the voltage and frequency of the Permanent Magnet Synchronous Generator (PMSG) varies with the wind speed changes, Intelligent controlled SEPIC is utilized to maintain the constant DC link voltage. The intelligent tuned PID controller combines the advantages of both conventional and soft controllers. The 1.5MW variable speed WECS (VSWECS) with AC-DC-AC converter is developed using MATLAB/Simulink software. PMSG delivers a load/utility grid through an uncontrolled diode rectifier, intelligent controlled SEPIC and three phase inverter. The real time implementation of the proposed system is done by the DSP processor MSP430F5529. The performance of the SEPIC is tested in both simulation and experiment at different wind speed conditions. The performance of the proposed Intelligent MPPT control of SEPIC are compared with the conventional PID controller. Intelligent tuning of PID controller such as Fuzzy-PID, and ANFIS-PID is implemented in the proposed system and results are compared. The simulation and experimental results reveals that the proposed ANFIS method provide improved performance than the conventional PID method in terms of power quality.
Volume: 8
Issue: 2
Page: 133-145
Publish at: 2019-06-01

Optimal TCSC placement for congestion management in deregulated power systems using antlion optimization algorithm

10.11591/ijra.v8i2.pp77-88
Majid Moazzami , Hossein Shahinzadeh , Gevork B. Gharehpetian , Abolfazl Shafiei
Congestion management is one of the important issues in the deregulated power systems. There are several methods to eliminate congestion. Utilizing FACTS devices is an appropriate option for large-scale and quick control of flows of transmission lines. FACTS devices such as Thyristor Controlled Series Capacitor (TCSC) can help to mitigate the transmitting flow of power in the congested lines, which leads to an increase in the network loading ability as well as reduction of both losses and production costs. Due to the considerably high price of FACTS devices, it is important to determine their optimum location on the network. Accordingly, in this paper, the Antlion optimization algorithm (ALO) has been employed to conduct a congestion management analysis to determine the optimal location for the installation of TCSC, which is simulated on an IEEE 14-bus test system subject to satisfy the constraints of the market environment.
Volume: 8
Issue: 2
Page: 77-88
Publish at: 2019-06-01

The effects of hearing deficits on student self-perceptions of social belonging, difficulty at school, and self-image

10.11591/ijere.v8i2.19632
Lindsy Cox , Brittany Ruffo , Julian Laird , Benjamin P Schade , Karen H Larwin
A paucity of research exists that examines how well hearing-impaired students function in the primary and secondary grades when attending a general education setting. The research that does exists to suggest that issues of poor self-perception, challenges regarding a sense of belonging, and self-image may be amplified for the non-hearing student. The current investigation examines the self-reported feelings of the hearing-impaired students relative to the student with no identified hearing difficulties. Results suggest that while social belonging may be a problem for the hearing-impaired students relative to their hearing peers, no differences were found on the responses associate with self-image or trouble at school.
Volume: 8
Issue: 2
Page: 280-285
Publish at: 2019-06-01

Single feed circularly polarized crescent-cut and extended corner square microstrip antennas for wireless biotelemetry

10.11591/ijece.v9i3.pp1902-1909
Mehdi Hasan Chowdhury , Quazi Delwar Hossain , Md. Azad Hossain , Ray Chak Chung Cheung
In this paper, the development of two novel circularly polarized microstrip antennas is thoroughly explained. These antennas are fed by coaxial feeding technique. One of the primary objectives of the proposed work is to tune the antennas to work in ISM band. This frequency band refers to the internationally recognized radio frequency bandwidth which is to be used explicitly for Industrial, Scientific, and Medical applications. Therefore, these antennas would be suitable to use in the field of wireless biotelemetry. Two new antenna design techniques have been introduced to produce circular polarization, and details of these schemes are described. The proposed microstrip antennas are designed and simulated on Advanced Design System (ADS) software. The return loss of the proposed crescent-cut antenna is -19.3 dB at the operating frequency. The extended corner antenna has the return loss of -29.3 dB at the tuned frequency. The simulation results are also presented and discussed.
Volume: 9
Issue: 3
Page: 1902-1909
Publish at: 2019-06-01

A model of acceptance factors for business intelligence in manufacturing using theoretical models

10.11591/ijeecs.v14.i3.pp1544-1551
Ernie Mazuin Mohd Yusof , Mohd Shahizan Othman , Lizawati Mi Yusuf , Shamini Raja Kumaran , Ahmad Rizal Mohd Yusof
Manufacturing organizations implemented Business Intelligence (BI) due to many advantages offered by it. The lack of research on the acceptance of BI in manufacturing motivates the initiative in this study to have an understanding of the factors that influence the acceptance of BI in manufacturing sector. Therefore, the research proposes a model which indicates the acceptance factors of BI in manufacturing. An integrated model consisting of underlying models of Technology Acceptance Model (TAM), Expectation Confirmation Theory (ECT) and Task-Technology Fit (TTF) will be developed. The new model will formulate 19 hypotheses and 11 factors contributing to the continuance and acceptance of BI. The model will be tested using quantitative and qualitative survey conducted to Malaysian manufacturing companies and validated using Structural Equation Modelling (SEM) to investigate the causal and mediating relationships between the factors. The expected result is hoping to suggest that selected factors in the model are positively related towards the acceptance of BI in manufacturing. The results are also hoping to guide future initiatives by industrial practitioners to develop and distribute BI to the manufacturing market.
Volume: 14
Issue: 3
Page: 1544-1551
Publish at: 2019-06-01

Identification of robust controller for 3hp 3Φ induction motor

10.11591/ijra.v8i2.pp125-132
H. Sathishkumar , S. S. Parthasarathy
This paper deals about the identification of robust controller for 3hp 3Φ induction motor which is used in cable industry (Ravicab cables private limited) at Bidadi. In this cable industry 3hp 3Φ induction motor is used for cable pulling purpose. This industry is using PID (Proportional derivative integral) controller based VFD (Voltage frequency drive) for controlling the speed of this 3hp 3Φ induction motor. This VFD is not functioning well for the non linear load and disturbance environment. Therefore in this paper Neural network based speed controller is proposed as proposed controller-I for replacing the PID based VFD. Performance of the 3hp 3Φ induction motor is estimated when Neural network controller is interfaced with the motor. Then Neuro-fuzzy controller based speed controller is proposed as proposed controller-II for replacing the PID based VFD. Performance of the 3hp 3Φ induction motor is estimated when Neuro-fuzzy controller is interfaced with the motor. At last robust controller for the 3hp 3Φ induction motor which is used for cable pulling purpose is going to be identified by doing comparison chart between Neural network and Neuro-fuzzy controller.
Volume: 8
Issue: 2
Page: 125-132
Publish at: 2019-06-01

QoS hybrid uplink scheduler based on service type for M2M communications in LTE networks

10.11591/ijeecs.v14.i3.pp1460-1470
Mariyam Ouaissa , Abdallah Rhattoy
The introduction of Machine-to-Machine (M2M) communications in cellular networks creates a new set of challenges because of the unique service requirements and features of M2M devices. One of these challenges is the management of radio resources, especially on the uplink because of the unfairness and poor performance that occurs when allocating resources to users. Long Term Evolution (LTE) and LTE-Advanced (LTE-A) are excellent candidates for supporting M2M communications because of their native IP connectivity and scalability for a variety of devices. Therefore, LTE schedulers should be able to meet the needs of M2M devices such as time constraints and specific Quality of Service (QoS) requirements. In this paper, these constraints are studied and analyzed, focusing on three schedulers; they are Round Robin (RR), First Maximum Expansion (FME) and Maximum Throughput (MT). These methods do not provide QoS to users who use different types of traffic flows. The solution proposed in this work is a hybrid model between two schedulers each of them is the best scheduling solution for the real-time service and the other for the non-real-time service, in order to meet QoS criteria maximizing throughput and minimizing packet loss. Video and voip were selected as real-time traffic and best effort for non-real time. The simulations results show that the proposed scheduler reaches the lowest Packet Loss Rate (PLR), delivering highest throughput and goodput among the other strategies.
Volume: 14
Issue: 3
Page: 1460-1470
Publish at: 2019-06-01

Featureless EMG pattern recognition based on convolutional neural network

10.11591/ijeecs.v14.i3.pp1291-1297
Too Jing Wei , Abdul Rahim Bin Abdullah , Norhashimah Binti Mohd Saad , Nursabillilah Binti Mohd Ali , Tengku Nor Shuhada Binti Tengku Zawawi
In this paper, the performance of featureless EMG pattern recognition in classifying hand and wrist movements are presented. The time-frequency distribution (TFD), spectrogram is employed to transform the raw EMG signals into time-frequency representation (TFR). The TFRs or spectrogram images are then directly fed into convolutional neural network (CNN) for classification. Two CNN models are proposed to learn the features automatically from the images without the need of manual feature extraction. The performance of CNN with different number of convolutional layers is examined. The proposed CNN models are evaluated using the EMG data from 10 intact and 11 amputee subjects through the publicly access NinaPro database. Our results show that CNN classifier offered the best mean classification accuracy of 88.04% in recognizing hand and wrist movements.
Volume: 14
Issue: 3
Page: 1291-1297
Publish at: 2019-06-01

Path optimization for robots in a constrained workspace

10.11591/ijra.v8i2.pp89-93
Doaa Mahmood Badr , Abbas Fadhal Mahdi
In this work, the classical A* algorithm serves as path planner to generate the optimum path that would avoid collisions and take the start, collisions, and goal as an input and give the optimal path as an output. The work was done in a static environment, so the coordinates of the obstacles are predefined for the planner. The obtained path is just a sequence of points in space, and this path may be considered later the task space and the first step for another sequential operation like mapping from Cartesian space to joint space, topology optimization, dimensional synthesis, etc. The case study was Lab-Volt 5150 manipulator; it is an accurate educational five degree of freedom 5DOF stationary robot driven by five stepper motors.
Volume: 8
Issue: 2
Page: 89-93
Publish at: 2019-06-01

Comparison of feature selection techniques in classifying stroke documents

10.11591/ijeecs.v14.i3.pp1244-1250
Nur Syaza Izzati Mohd Rafei , Rohayanti Hassan , RD Rohmat Saedudin , Anis Farihan Mat Raffei , Zalmiyah Zakaria , Shahreen Kasim
The amount of digital biomedical literature grows that make most of the researchers facing the difficulties to manage and retrieve the required information from the Internet because this task is very challenging. The application of text classification on biomedical literature is one of the solutions in order to solve problem that have been faced by researchers but managing the high dimensionality of data being a common issue on text classification. Therefore, the aim of this research is to compare the techniques that could be used to select the relevant features for classifying biomedical text abstracts. This research focus on Pearson’s Correlation and Information Gain as feature selection techniques for reducing the high dimensionality of data. Towards this effort, we conduct and evaluate several experiments using 100 abstract of stroke documents that retrieved from PubMed database as datasets. This dataset underwent the text pre-processing that is crucial before proceed to feature selection phase. Features selection phase is involving Information Gain and Pearson Correlation technique. Support Vector Machine classifier is used in order to evaluate and compare the effectiveness of two feature selection techniques. For this dataset, Information Gain has outperformed Pearson’s Correlation by 3.3%. This research tends to extract the meaningful features from a subset of stroke documents that can be used for various application especially in diagnose the stroke disease.
Volume: 14
Issue: 3
Page: 1244-1250
Publish at: 2019-06-01

A genetic algorithm rooted in integer encoding and fuzzy controller

10.11591/ijra.v8i2.pp113-124
M. Jalali Varnamkhasti
The premature convergence is the essential problem in genetic algorithms and it is strongly related to the loss of genetic diversity of the population. In this study, a new sexual selection mechanism which utilizing mate chromosome during selection proposed and then technique focuses on selecting and controlling the genetic operators by applying the fuzzy logic controller. Computational experiments are conducted on the proposed techniques and the results are compared with some other operators, heuristic and local search algorithms commonly used for solving benchmark problems published in the literature.
Volume: 8
Issue: 2
Page: 113-124
Publish at: 2019-06-01

Implementation of ANFIS based controller on IG wind farm for improved performance

10.11591/ijra.v8i2.pp94-104
Pragya Sharma , Satbir Singh , Vivek Pahwa
In this paper, the transient performance of a 9-MW Induction Generator (IG) wind farm is improved by implementing an Adaptive Neuro Fuzzy Inference System (ANFIS) based controller on the turbine in MATLAB/SIMULINK environment using phasor analysis. Initially, the parameters of PI controller is developed using conventional method. Then, with the help of PI controller, the ANFIS based controller is trained. This developed controller reduces peak overshoot and settling time of active power and torque-speed characteristics in contrast to PI controller. Further, the system is linearized and the obtained results in time domain have been validated for stability by using Pole-Zero plot.
Volume: 8
Issue: 2
Page: 94-104
Publish at: 2019-06-01

Impact of plug-in hybrid electric vehicles on power system with high wind power penetration

10.11591/ijra.v8i2.pp146-154
Mahmoud Essam Harby , Said Elsayed Elmasry , Adel Elsamahy , Luis Marroyo , Javier Marcos
The rising energy independence and environmental concerns are key drivers in the growing popularity of plug-in hybrid electric vehicles (PHEVs). Because of the intermittent nature of the renewable energy sources, this may cause a high-frequency oscillation of the power system. From another aspect, all the PHEVs have in common the batteries, which provide the storage capability that can be effectively harnessed when the vehicles are integrated into the grid. Such a storage capability can effectively integrate wind power into the grid and all indicators signalize that the PHEVs are the most promising technology of the future transportation system. In this paper, different case studies are applied on one area power system to show the effect of the high wind energy penetration on the power system frequency and how the PHEVs can play an effective role in mitigating the power system frequency oscillation and supporting the more penetration of the wind energy into smarter electrical grids. In addition, an advanced controller has been designed to improve the frequency response and to compensate the delay of the system. The designed controller is a genetic algorithm (GA) based PID (proportional-integral-derivative) controller, it has been proposed for tuning optimized PID parameters. The results show that the controller has played an effective role in decreasing the response overshoot and settling time when used with the PHEVs. The used variable load, the thermal power plant parameters, and the wind turbine parameters are the same for the five case studies.
Volume: 8
Issue: 2
Page: 146-154
Publish at: 2019-06-01
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