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29,734 Article Results

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

Needs analysis of Islamic-based English reading material for the Muhammadiyah junior high school

10.11591/ijere.v8i2.18647
Septian Dwi Cahyo , Muhammad Rijalul Umam Muslim , Arditya Nur Rahman , Bambang W Pratolo
This research aimed to report the need for Islamic-based English teaching materials for the Muhammadiyah junior high Schools, specified for reading skill. Data collection techniques in this research were the semi-structured interview and focus group discussion with four English teachers as participant form the Muhammadiyah schools. Data analysis was conducted by interactive data collection, data reduction, data presentation and conclusion or verification. This research concluded that the needs of developing Islamic based English teaching material are necessary for the Muhamamadiyah schools to achieve the national education goal and for Islamic faith itself. The development based on text-based approach by replacing content with Islamic-related content, Islamic discourse, integrated language skill, use student-centered teaching and also increasing cultural awareness.
Volume: 8
Issue: 2
Page: 286-292
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

Application of “The nature of science” box event examples to middle school seventh grade students

10.11591/ijere.v8i2.18858
Özlem Afacan , Demet Şener Çanlı
Previous study on the nature of science indicated that the use of activities is essential and important in the teaching of the nature of science subjects. The aim of the research is to develop alternative activities for helping students in the seventh grade of middle school develop their views on the nature of science and for better teaching the nature of science. In this study, four different activities suitable for middle school seventh class achievements which are also related to the nature of science were developed and worksheets related to those activities were prepared. The activities and worksheets were examined by two science education experts and necessary arrangements were made in line with their opinions. These events are called; "mystery candle inbox", "following trail", "mystery in box", and "Colorful lights" activity. This study was designed according to case study settings from qualitative research methods. The research group consists of 27 students who are in the seventh grade of a middle school in Kırşehir. When the activities are being carried out, students filled in worksheets for each activity. The worksheets were analyzed by content analysis method. At the end of the research, it was determined that the designed and applied the nature of science activities have a positive effect on the development of the students' opinions about the nature of science.
Volume: 8
Issue: 2
Page: 221-228
Publish at: 2019-06-01

Digital image classification by optimised fuzzy system

10.11591/ijeecs.v14.i3.pp1196-1202
Mehdi Ramezanifard , B. S. Mousavi
Image classification is a challenging problem of computer vision. This study reports a fuzzy system to semantic image classification. As it is a complex task, various information of digital image, including: three color space components and two Zernike moments with different order are gathered and utilized as an input of fuzzy inference system to materialize a robust rotation/lighting condition and size invariant image classifier. For better performance, all the membership functions are optimized by genetic algorithm after empirically design stage. 93.07% and 95.25% classification rates empirically design and optimized systems confirm the reliability of proposed method in different image conditions given in this contribution.
Volume: 14
Issue: 3
Page: 1196-1202
Publish at: 2019-06-01

Wireless power transfer to a micro implant device from outside of human body

10.11591/ijece.v9i3.pp1541-1545
Kazuya Yamaguchi , Kazuma Onishi , Kenichi Iida
This paper states wireless power transfer (WPT) from an AC power supply to a micro implant device in human body. At first, an equivalent circuit of WPT which contains biomedical tissue is constructed with an AC power supply, parasitic components, load resistance, and inductances. Then a state equation which stands for the behavior of circuit is found, and the expression of efficiency is derived as the ratio of the power of power supply and load. Finally an experiment is conducted based on the theoretical calculation, and the error between experimental and calculated result is computed and examined.
Volume: 9
Issue: 3
Page: 1541-1545
Publish at: 2019-06-01

Motivation to learn and social support determine employability among vocational high school students

10.11591/ijere.v8i2.18188
Fatwa Tentama , Subardjo Subardjo , Muhamad Hasan Abdillah
One of the factors that influence the level of employability is the motivation to learn and social support. This study aims to determine the effect of motivation to learn and social support on student employability. The participants in this study were 255 students of class XII in State Vocational High School 1 Kalasan Yogyakarta, obtained through random cluster sampling. The data collection was carried out by using an employability scale, motivation to learn scale and social support scale. The data analysis used in this study was multiple linear regression analysis. Our data analysis shows that motivation to learn and social support have a very significant effect on employability, seen through the F test that obtained a score of 44.798 and a significance level (p) of 0.000 (p <0.01). In other words, the level of employability could be predicted based on students' level of motivation to learn and social support.
Volume: 8
Issue: 2
Page: 237-242
Publish at: 2019-06-01

IoT: smart garbage monitoring using android and real time database

10.12928/telkomnika.v17i3.10121
Riyan Hadi; Telkom University Putra , Feri Teja; Telkom University Kusuma , Tri Nopiani; Telkom University Damayanti , Dadan Nur; Telkom University Ramadan
Every single day, garbage is always produced and sometimes, due to the unbalance between high volume produced and the garbage volume transported to the landfill; it then leads to the buildup. To prevent any negative impact on environment, a system is needed to support the waste management process. Smart Garbage Monitoring System consists of two parts: portable garbage can and monitoring application using android smartphone. The use of ultrasonic sensor, GPS and GSM Module on the garbage can aims to provide the data on the garbage and send it to the real time database, in which the data will be processed by the monitoring application on smartphone to determine the time of garbage transport purposely to prevent any buildup. The system doesn't need a server to process, because the entire process of will be run by android application on a smartphone. Test results showed the capability of the system in monitoring the garbage can with the minimum distance between the wastes by three meters. The information on the height level of garbage can be synchronized in real time to smartphone, with an average delay on the EDGE network of 4.57 seconds, HSPA+ of 4.52 seconds and LTE of 3.85 seconds.
Volume: 17
Issue: 3
Page: 1483-1491
Publish at: 2019-06-01

Adaptive uplink scheduling model for WiMAX network using evolutionary computing model

10.11591/ijeecs.v14.i3.pp1345-1355
Mahesh D S , Chandramouli H , Sanjay R Chitnis
the increased usage of smart phones has led to increase usage an internet based application services. These application requires different quality of service (QoS) and bandwidth requirement. WiMAX is an efficient network to provision high bandwidth connectivity and coverage to end user. To meet QoS requirement the exiting model used adaptive model selection scheme. However, these model induce bandwidth wastage as it does not considers any feedback information for scheduling. This work present an Adaptive Uplink Scheduling (AUS) by optimizing MAC layer using Multi-Objective Genetic Algorithm (MOGA). The MAC scheduler use feedback information from both physical layer and application layer. Further, to meet QoS requirement of application and utilize bandwidth efficiently this paper presented an adaptive modulation selection scheme based on user application requirement using MOGA. Our model provides application level based QoS provisioning for WiMAX network. Experiment are conducted to evaluate performance of AUS over exiting model. The overall result attained shows AUS model attain good performance in term of throughput, successful packet transmission and packet collision.
Volume: 14
Issue: 3
Page: 1345-1355
Publish at: 2019-06-01
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