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29,922 Article Results

A new exact equivalent circuit of the medium voltage three-phase induction motor

10.11591/ijece.v10i6.pp6164-6171
Laura Collazo Solar , Angel A. Costa Montiel , Miriam Vilaragut Llanes , Vladimir Sousa Santos , Abel Curbelo Colina
This paper proposes a new equivalent circuit for medium voltage and great power induction motors considering the more complete information given by the manufacturer. A methodology for obtaining the parameters of the equivalent circuit is presented, having this circuit the advantage of allowing the electrical calculation of all the power losses and the realization of the power balance. It is an achievement of this work a new way of calculating and representing the additional losses using a resistance located in the rotor circuit. Then, three types of losses are considered as a part of a power balance: the conventional or joule effect variable losses, the constant losses, and the additional losses. The proposed method is straight and non-iterative. It was applied to a case study motor of 6000 V and 2500 kW located at the Maximo Gomez Power Plant in Cuba.
Volume: 10
Issue: 6
Page: 6164-6171
Publish at: 2020-12-01

A miniaturized printed UWB antenna with dual notching for X-b and and aeronautical radio navigation applications

10.12928/telkomnika.v18i6.16119
Mohammad Ahmad; Palestine Polytechnic University Salamin , Sudipta; IMPS College of Engineering and Technology Das , B. T. P.; Koneru Lakshmaiah Education Foundation Madhav , Soufian; Mohammed V University in Rabat Lakrit , Avisankar; Haldia Institute of Technology Roy , Asmaa; Abdelmalek Essaâdi University Zugari
A low cost miniaturized UWB microstrip antenna with dual notched band for X band and aeronautical radio navigation (ARN) is presented in this article. The antenna (19 16×"> 25 mm2) is composed of a half-circular ring as a radiation patch with an incomplete ground plane. The measured results indicate a fractional bandwidth of 112% for 16S11≤-"> 10 dB between 3 to 10.6 GHz. The dual notched band has been achieved by incorporating window shaped microstrip closed ring resonators at the rear surface of the designed structure. The first notch band is centered at 7.5 GHz (7 8.1 GHz) to reject interference with X-band downlink (7.25 to 7.74 GHz) and second band centered at 9.1 GHz (8.6 9.4 GHz) to reject interference with aeronautical radio navigation (ARN) (8.7 to 9.2 GHz). The simulated and measured return loss, radiation pattern, and gain shows good agreement which confirms the applicability of the designed antenna for the intended UWB applications.
Volume: 18
Issue: 6
Page: 2868-2877
Publish at: 2020-12-01

Students’ self-regulation and motivation in learning science

10.11591/ijere.v9i4.20657
Tanti Tanti , Maison Maison , Boby Syefrinando , Mahbub Daryanto , Hayyu Salma
The student's self-regulation and motivation are essential for students to study. Especially with 21st-century learning students are required to be more active in learning than teachers. This Mixed Methods research aimed to determine the influence between the students' self-regulation with the motivation of students learning. The sample size was 534 students from Madrasah Tsanawiyah in Jambi city, Indonesia determined by total sampling technique. Data were then analyzed with the SPSS 21 application to find descriptive statistics as well as inferential statistics using simple regression and for comparison using the independent sample T-Test. The results of this research are dominant in both self-regulation and student motivation in learning, which is strengthened by the relationship and influence between self-regulation and the motivation of students in learning. It is seen from the value of sig = 0.019 and has a contribution of 70.3%. According to the results, it is recommended that students need to be given the opportunity to conduct learning directly and teachers must perform innovative learning.
Volume: 9
Issue: 4
Page: 865-873
Publish at: 2020-12-01

A new approach for improving clustering algorithms performance

10.11591/ijeecs.v20.i3.pp1569-1575
Anfal F. N. Alrammahi , Kadhim B. S. Aljanabi
Clustering represents one of the most popular and used Data Mining techniques due to its usefulness and the wide variations of the applications in real world. Defining the number of the clusters required is an application oriented context, this means that the number of clusters k is an input to the whole clustering process. The proposed approach represents a solution for estimating the optimum number of clusters. It is based on the use of iterative K-means clustering under three different criteria; centroids convergence, total distance between the objects and the cluster centroid and the number of migrated objects which can be used effectively to ensure better clustering accuracy and performance. A total of 20000 records available on the internet were used in the proposed approach to test the approach. The results obtained from the approach showed good improvement on clustering accuracy and algorithm performance over the other techniques where centroids convergence represents a major clustering criteria. C# and Microsoft Excel were the software used in the approach.
Volume: 20
Issue: 3
Page: 1569-1575
Publish at: 2020-12-01

A modified Cuk DC-DC converter for DC microgrid systems

10.12928/telkomnika.v18i6.16466
Andriazis; Institute of Technology Bandung Dahono , Arwindra; Institute of Technology Bandung Rizqiawan , Pekik Argo; Institut Teknologi Bandung Dahono
A new efficient step-updirect current-direct current (DC-DC) power converter that is suitable for DC microgrid systems is proposed in this paper. The proposed step-up DC-DC converter is derived from the conventional Cuk DC-DC power converter. Output voltage analysis that is useful to predict the conduction losses is presented. It is shown that the proposed step-up DC-DC converter is more efficient than the conventional DC-DC boost power converter. Current ripple analysis that is useful to determine the required inductors and capacitors is also presented. Experimental results are included to show the validity of the proposed step-up DC-DC power converter.
Volume: 18
Issue: 6
Page: 3247-3257
Publish at: 2020-12-01

Application of thermal imaging for detecting cold air leak location in cold storage

10.11591/ijaas.v9.i4.pp294-301
P. Pathmanaban , Shanmuga Sundaram Anandan , B. K. Gnanavel , C. P. Murigan
Nowadays Cold storage has been playing an important role in preserving the perishable food products like fruits, vegetables, dairy products, fish, and meat etc. The major problem of cold storage is unwanted energy transmission during the operation. It is necessary to maintain the constant temperature during storing the products. There are different kinds of energy loss happening during the operation. One of the major causes is cold air leaking from the inside of the cold room to outside. It is due to poor insulation and improper maintenance of cold storage. It is very difficult to identify the exact location of the leak by the naked eye. In this research work, the cold storage was inspected with the thermal imaging system. Thermal cameras are highly sensitive to temperature and it can detect the variation of temperature ranging from 0.1°C. The measured temperatures are further converted into a colour based pattern. It is known as thermogram. These colour-based thermal patterns are further processed for identifying energy transmission location. It is done by applying various image processing methods such as histogram equalization, diffusion error, otsu thresholding and morphologic function. These techniques were applied to images of cold storages and exact cold air transmission locations were identified.
Volume: 9
Issue: 4
Page: 294-301
Publish at: 2020-12-01

The simulation analysis of torque ripple reduction by using optimal voltage vector in DTC fed by five-level CHB inverter

10.11591/ijeecs.v20.i3.pp1665-1676
Siti Azura Binti Ahmad Tarusan , Auzani Jidin , Mohd Luqman M. Jamil
In this paper, the improvement of torque ripple reduction will be focused based on the optimal voltage vector. This is attained by using five-level CHB inverter that applies in DTC drive control as a proposed method. The analysis is performed and simulated by using MATLAB/Simulink. In order to support the analysis, the comparison is realized between proposed method and conventional method which it applies two-level inverter. It will be analysed at constant torque region or steady-state operation on different range of operating speed which the speed is controlled by adjusting the motor load. Meaning that, the speed controller is neglected during analysis. Nevertheless, the adjustment of motor load must be applicable to the optimal voltage vector. The look-up table of five-level CHB inverter will become a guideline to select the optimal voltage vector. Therefore, it can maintain the simple structure of DTC hysteresis-based that fed by using five-level CHB inverter. As a result, the torque ripple can be minimized and torque capability can be retained even at low operating speed compared to the conventional DTC.
Volume: 20
Issue: 3
Page: 1665-1676
Publish at: 2020-12-01

Identification of interstitial lung diseases using deep learning

10.11591/ijece.v10i6.pp6283-6291
Nidhin Raju , Anita H. B. , Peter Augustine
The advanced medical imaging provides various advantages to both the patients and the healthcare providers. Medical Imaging truly helps the doctor to determine the inconveniences in a human body and empowers them to make better choices. Deep learning has an important role in the medical field especially for medical image analysis today. It is an advanced technique in the machine learning concept which can be used to get efficient output than using any other previous techniques. In the anticipated work deep learning is used to find the presence of interstitial lung diseases (ILD) by analyzing high-resolution computed tomography (HRCT) images and identifying the ILD category. The efficiency of the diagnosis of ILD through clinical history is less than 20%. Currently, an open chest biopsy is the best way of confirming the presence of ILD. HRCT images can be used effectively to avoid open chest biopsy and improve accuracy. In this proposed work multi-label classification is done for 17 different categories of ILD. The average accuracy of 95% is obtained by extracting features with the help of a convolutional neural network (CNN) architecture called SmallerVGGNet.
Volume: 10
Issue: 6
Page: 6283-6291
Publish at: 2020-12-01

Acquiring higher lumen efficacy and color rendering index with green NaYF4:Er3+Yb3+ and red α-SrO·3B2O3:Sm2+ layers for designing remote phosphor LED

10.12928/telkomnika.v18i6.13796
My Hanh Nguyen; Industrial University of Ho Chi Minh City Thi , Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology Loan , Nguyen Doan Quoc Anh
Lighting devices that apply diodes to create white light-emitting diodes (WLEDs) can achieve remarkable results in color quality, especially those containing quantum dots (QDs) and phosphor. The technique to create an appropriate package is providing spaces between the QDs and phosphor components which helps decrease the ratio of the reabsorption losses and keeps the QDs surface ligands constant. The research aims to perfect the constructing method of remote phosphor configuration containing quantum dots and phosphor materials that based on lighting properties and temperature feature of WLEDs. The infrared thermography is the tool to measure and analyze total emitted light and emission ranges of the device. This device is also used in temperature simulation and experimental verification. At the given mA of 60, the WLEDs structure with green QDs layer above the phosphor layer results in 996 lm luminous flux (LF), and Ra = 57 in color rendering ability. Meanwhile, luminous flux of WLEDs with red QDs-on-phosphor structure is 632, and Ra = 70. Furthermore, comparing with the green QDs-on-phosphor type, the red QDs-on-phosphor type emitted less LF. However, the red QDs-on-phosphor type can be the most effective package design to achieve color rendering ability.
Volume: 18
Issue: 6
Page: 3222-3227
Publish at: 2020-12-01

Augmented reality and virtual reality in our daily life

10.11591/ijict.v9i3.pp205-211
Vallidevi Krishnamurth , Nagarajan K. K. , D.Venkata Vara Prasad , Ganesh Kumar , Arjith Natarajan , Shailesh Saravanan , Akshaya Natarajan , Shankaran Murugan , Dattuluri Rushitaa
Augmented reality, the new age technology, has widespread applications in every field imaginable. This technology has proven to be an inflection point in numerous verticals, improving lives and improving performance. In this paper, we explore the various possible applications of Augmented Reality (AR) in the field of Medicine. The objective of using AR in medicine or generally in any field is the fact that, AR helps in motivating the user, making sessions interactive and assist in faster learning. In this paper, we discuss about the applicability of AR in the field of medical diagnosis. Augmented reality technology reinforces remote collaboration, allowing doctors to diagnose patients from a different locality. Additionally, we  believe that a much more pronounced effect can be achieved by bringing together the cutting edge technology of AR and the lifesaving field of Medical sciences. AR is a mechanism that could be applied in the learning process too. Similarly, virtual reality could be used in the field where more of practical experience is needed such as driving, sports, neonatal care training.
Volume: 9
Issue: 3
Page: 205-211
Publish at: 2020-12-01

The assesement of the shunt active filter efficiency under varied power supply source and load parameters

10.11591/ijece.v10i6.pp5621-5630
Yuriy Sychev , Boris Abramovich , Veronika Prokhorova
The results of theoretical and experimental studies on the problems of effective application of shunt active filters for power quality improvement and electromagnetic compatibility ensuring were presented in this article. Based on the different theories and methods, the most effective and well-studied control algorithms of shunt active filters were determined and analyzed to ensure their effective application in distributed generation systems and combined power supply systems. Mathematical and computer simulation models of shunt active filters with different control algorithms in distributed generation systems and combined power supply systems were developed. According to the results of mathematical modeling and computer simulation, the dependences were detected, reflecting the influences of internal and external parameters on the factors, determining the efficiency of the correction of power quality indicators. The range of permissible changes in the parameters of shunt active filters by saving the required efficiency level of power quality correction was detected under varied power supply system characteristics, load parameters and also in hybrid structures. The adaptive algorithm of the shunt active filter functioning under varied application conditions for automated power quality improvement is developed on the basis
Volume: 10
Issue: 6
Page: 5621-5630
Publish at: 2020-12-01

Discrete-wavelet-transform recursive inverse algorithm using second-order estimation of the autocorrelation matrix

10.12928/telkomnika.v18i6.16191
Mohammad Shukri; American University of the Middle East Salman , Alaa; Ankara Science University Eleyan , Bahaa; American University of the Middle East Al-Sheikh
The recursive-least-squares (RLS) algorithm was introduced as an alternative to LMS algorithm with enhanced performance. Computational complexity and instability in updating the autocolleltion matrix are some of the drawbacks of the RLS algorithm that were among the reasons for the intrduction of the second-order recursive inverse (RI) adaptive algorithm. The 2nd order RI adaptive algorithm suffered from low convergence rate in certain scenarios that required a relatively small initial step-size. In this paper, we propose a newsecond-order RI algorithm that projects the input signal to a new domain namely discrete-wavelet-transform (DWT) as pre step before performing the algorithm. This transformation overcomes the low convergence rate of the second-order RI algorithm by reducing the self-correlation of the input signal in the mentioned scenatios. Expeirments are conducted using the noise cancellation setting. The performance of the proposed algorithm is compared to those of the RI, original second-order RI and RLS algorithms in different Gaussian and impulsive noise environments. Simulations demonstrate the superiority of the proposed algorithm in terms of convergence rate comparedto those algorithms.
Volume: 18
Issue: 6
Page: 3073-3079
Publish at: 2020-12-01

A robust maximum power point tracking control for PV panel using adaptive PI controller based on fuzzy logic

10.12928/telkomnika.v18i6.17271
Slamet; Renewable Energy and Energy Conservation Technology of Ministry of Energy and Mineral Resources (KESDM) Slamet , Estiko; Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences (LIPI), Kampus LIPI Rijanto , Asep; Research Center for Electrical Power and Mechatronics, Indonesian Institute of Sciences (LIPI), Kampus LIPI Nugroho , R. A.; Universiti Teknologi Malaysia Ghani
Most methods of maximum power point tracking (MPPT) for photovoltaic (PV) focus only on tracking performance while robustness against disturbances hasrarely been addressed. This paper proposes a new MPPT control method that provides robustness against direct current (DC) link voltage disturbance as well as good tracking performance. The method uses indirect MPPT control topology which incorporates two controllers. For the external controller, we use an adaptive proportional-integral (PI) control which is real-time tuned by fuzzy logic (FL). New membership functions and rule base are proposed using only one fuzzy input variable and 10 fuzzy rules. The internal controller is a PI controller. The PV panelis connected to a boost DC-DC converter. The proposed MPPT control iscompared with the fuzzy logic controller (FLC). Performance is evaluated under DC link voltage disturbance, steady-state condition, and rapid solar radiation changes. Simulation results indicate that the proposed method provides 41.2 % better robustness against DC link voltage disturbance as compared to the direct FLC. Experimental results under natural climate conditions with real solar radiation  validate that the proposed method works well in regulating the MPP at steady-state solar irradiance as well as in tracking the MPP towards rapid solar irradiance changes. It yields the PV power tracking speed of 95.75 W/s.
Volume: 18
Issue: 6
Page: 2999-3010
Publish at: 2020-12-01

Design and implementation of 4 bit binary weighted current steering DAC

10.11591/ijece.v10i6.pp5642-5649
Jayeshkumar J. Patel , Amisha P. Naik
A compact current-mode Digital-to-Analog converter (DAC) suitable for biomedical application is repesented in this paper .The designed DAC is binary weighted in 180nm CMOS technology with 1.8V supply voltage. In this implementation, authors have focused on calculaton of Non linearity error say INL and DNL for 4 bit DAC having various type of switches: NMOS, PMOS and Transmission Gate. The implemented DAC uses lower area and power compared to unary architecture due to absence of digital decoders. The desired value of Integrated non linearity (INL) and Differential non linearity (DNL) for DAC for are within a range of +0.5LSB. Result obtained in this works for INL and DNL for the case DAC using Transmission Gate is +0.34LSB and +0.38 LSB respectively with 22mW power dissipation.
Volume: 10
Issue: 6
Page: 5642-5649
Publish at: 2020-12-01

Face recognition using viola-jones depending on python

10.11591/ijeecs.v20.i3.pp1513-1521
Khansaa Dheyaa Ismael , Stanciu Irina
In this paper, the proposed software system based on face recognition the proposed system can be implemented in the smart building or any VIP building need security interring in general, The human face will be recognized from a stream of pictures or video feed, this technology recognizes the person according to the specific algorithm, the algorithm that employed in this paper is the Viola–Jones object detection framework by using Python. The task of the proposed facial recognition system consists of two steps, the first one was detected the human face from live video using the webcamera in the computer, and the second step recognizes if this face allowed to enter the building or not by comparing it with the existing database, the two steps depending on the OpenCV python by importing cv2 method for detecting the human face, the frames can be read or written to file with the cv2.imread and cv2.imwrite functions respectively Finally, this proposed software system can be used to control access in smart buildings as a rule and the advancement of techniques connected around there, Providing a security system is one of the most important features must be achieved in the smart buildings, this proposed system can be used as an application in a smart building as a security system. Face recognition is one of the most important applications using today for practical facial recognition. The proposed software system, depending on using OpenCV (open source computer vision) is a popular computer vision library, in 1999 this library started by Intel. The platform library sets its focus on real-time image processing and includes patent-free implementations of the latest computer vision algorithms. OpenCV 2.3.1 now comes with a programming interface to C, C++, Python, and Android. OpenCV library of python, the three algorithms that will be used in this proposed system. The currently available algorithms are: Eigenfaces → createEigenFaceRecognizer(). Fisherfaces → createFisherFaceRecognizer(). Local Binary Patterns Histograms → createLBPHFaceRecognizer(). Finally the proposed system provide entering to the building just for the authorized person according to face recognition algorithem. 
Volume: 20
Issue: 3
Page: 1513-1521
Publish at: 2020-12-01
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