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29,922 Article Results

Automated detection of vehicles license plate using image processing techniques

10.11591/ijeecs.v18.i3.pp1408-1415
Farhana Ahmad Poad , Noor Shuraya Othman , Roshayati Yahya Atan , Jusrorizal Fadly Jusoh , Mumtaz Anwar Hussin
The aim of this project is to design an Automated Detection of License Plate (ADLP) system based on image processing techniques. There are two techniques that are commonly used in detecting the target, which are the Optical Character Recognition (OCR) and the split and merge segmentation. Basically, the OCR technique performs the operation using individual character of the license plate with alphanumeri characteristic. While, the split and merge segmentation technique split the image of captured plate into a region of interest. These two techniques are utilized and implemented using MATLAB software and the performance of detection is tested on the image and a comparison is done between both techniques. The results show that both techniques can perform well for license plate with some error.
Volume: 18
Issue: 3
Page: 1408-1415
Publish at: 2020-06-01

An IoT based SMART patient health monitoring system

10.11591/ijeecs.v18.i3.pp1657-1664
C.R Srinivasan , Guru Charan , P Chenchu Sai Babu
Smart and connected health care is of specific significance in the spectrum of applications enabled the Internet of Things (IoT). Networked sensors, either embedded inside our living system or worn on the body, enable to gather rich information regarding our physical and mental health. In specific, the accessibility of information at previously unimagined scales and spatial longitudes combined with the new generation of smart processing algorithms can expedite an advancement in the medical field, from the current post-facto diagnosis and treatment of reactive framework, to an early-stage proactive paradigm for disease prognosis combined with prevention and cure as well as overall administration of well-being rather than ailment. This paper sheds some light on the current methods accessible in the Internet of Things (IoT) domain for healthcare applications. The proposed objective is to design and create a healthcare system centered on Mobile-IoT by collecting patient information from different sensors and alerting both the guardian and the doctor by sending emails and SMS in a timely manner. It remotely monitors the physiological parameters of the patient and diagnoses the illnesses swiftly. 
Volume: 18
Issue: 3
Page: 1657-1664
Publish at: 2020-06-01

On the dynamic behavior of the current in the condenser of a boost converter controlled with ZAD

10.12928/telkomnika.v18i3.14109
Darío Del Cristo Vergara; Institución Educativa San Marcos, San Marcos – Sucre, Colombia Perez , Simeón Casanova; Universidad Nacional de Colombia, Sede Manizales, Investigation Group: Scientific Calculation and Mathematical Modeling, Manizales, Colombia; Trujillo , Fredy Edimer Hoyos; Universidad Nacional de Colombia, Sede Medellín, Facultad de Ciencias, Escuela de Física Velasco
In this paper, an analytical and numerical study is conducted on the dynamics of the current in the condenser of a boost converter controlled with ZAD, using a pulse PWM to the symmetric center. A stability analysis of periodic 1T-orbits was made by the analytical calculation of the eigenvalues of the Jacobian matrix of the dynamic system, where the presence of flip and Neimar–Sacker-type bifurcations was determined. The presence of chaos, which is controlled by ZAD and FPIC techniques, is shown from the analysis of Lyapunov exponents.
Volume: 18
Issue: 3
Page: 1678-1687
Publish at: 2020-06-01

Inclusive education services for the blind: Values, roles, and challenges of university EFL teachers

10.11591/ijere.v9i2.20436
Alies Poetri Lintangsari , Ive Emaliana
Implementing inclusive education, the process of providing all learners with equal educational opportunities, is a major challenge for many educational systems worldwide, for it requires changes to values, system, and practices. In the teaching of English as a foreign language (EFL) in university, teachers are expected to be able to select, transform, or augment Universal Design for Learning (UDL), and Differentiated Instruction (DI) as a framework to guarantee accessibility of all learner types to the learning environment by employing specific educational design guidelines, to fit their leaners', notably for the blinds. Data on what has led EFL teachers to join the reform of the teaching instruction and how they tackle problems during implementation cannot be located. Thus, the aim of this qualitative study is to uncover reasons for EFL teachers to participate in and what they did to facilitate the instruction wide effort to practice inclusive education, as well as challenges encountered. Key findings included implementing university policy as prime reasons for practicing inclusive education, utilizing UDL and DI as the key to successful implementation for instructional teaching, and inadequate resources and teacher training as the main challenges. Recommendations consists of providing disability-specific pre- and in- service training programs for teachers and making arrangements of sufficient educational materials and assessment based on UDL and DI towards EFL instructions.
Volume: 9
Issue: 2
Page: 439-447
Publish at: 2020-06-01

Behaviour of solar wireless sensor network in saharan region under different scenarios consideration

10.11591/ijece.v10i3.pp2797-2806
Boubakeur Hamlili , Khelifa Benahmed , Brahim Gasbaoui
This paper deals with the Wireless Sensor Network comportment in the south west region precisely Bechar city. Algeria has the highest technical and economic potentials for solar power exploitation in the Middle East and North Africa region. In this paper, the focus is on the behaviour of Wireless Sensor Network (WSNs) supplied by solar panel PV connected to node via boost converter (DC/DC) controlled by maximum power point tracking (MPPT) technique, using the incremental conductance (IC) algorithm to extract maximum power. In Our present work, many tests were carried out. The WSNs are examined under sever and different temperature and irradiation variation. The obtained result is satisfactory for our (WSNs) simulated in a MATLAB / SIMULINK environment. The performances of the proposed strategy controller give a satisfactory simulation results.
Volume: 10
Issue: 3
Page: 2797-2806
Publish at: 2020-06-01

IoT-based guppy fish farming monitoring and controlling system

10.12928/telkomnika.v18i3.14850
Periyadi; Telkom University Periyadi , Gita Indah; Telkom University Hapsari , Zahir; Telkom University Wakid , Sobran; Telkom University Mudopar
Nowadays, monitoring of guppy fish farming is still done manually. A monitoring and control system is needed to make it easier for guppy fish farmers. This system consists of a sensor module and monitoring module. Sensor module detects the value of pH and salinity of water and send it to the monitoring module. Monitoring is used as a web-based system using IoT technology. This web-based system serves to monitor and control the pH value and only monitor the salinity value. The workings of the monitoring and control system send data on pH and salinity sent by the sensor and then stored and in database hosting. Data on the database will be displayed on the website using wireless media, making it easier for users to view data and information remotely. Beside, farmers are facilitated in knowing the value of pH and salt content dissolved in water. For the value of a dangerous salt content worth less than 160 and more than 210, if for a pH of less than 6.5 and more than 7.5. Farmers are also facilitated to control pH with servo motors through the website, so farmers can prevent if the pH content dissolved in water is dangerous for guppy fish.
Volume: 18
Issue: 3
Page: 1538-1545
Publish at: 2020-06-01

Nonlinear control of WECS based on PMSG for optimal power extraction

10.11591/ijece.v10i3.pp2815-2823
Mohamed Makhad , Malika Zazi , Azeddine Loulijat
This paper proposes a robust control strategy for optimizing the maximum power captured in Wind Energy Conversion Systems (WECS) based on permanent magnet synchronous generators (PMSG), which is integrated into the grid. In order to achieve the maximum power point (MPPT) the machine side converter regulates the rotational speed of the PMSG to track the optimal speed. To evaluate the performance and effectiveness of the proposed controller, a comparative study between the IBC control and the vector control based on PI controller was carried out through computer simulation. This analysis consists of two case studies including stochastic variation in wind speed and step change in wind speed.
Volume: 10
Issue: 3
Page: 2815-2823
Publish at: 2020-06-01

Stochastic renewable energy resources integrated multi-objective optimal power flow

10.12928/telkomnika.v18i3.13466
Sundaram B.; S. V. National Institute of Technology Pandya , Hitesh R.; S. V. National Institute of Technology Jariwala
The modern state of electrical system consists the conventional generating units along with the sources of renewable energy. The proposed article recommends a method for the solution of single and multi-objective optimal power flow, integrating wind and solar output energy with traditional coal-based generating stations. In the first part of the article, the two wind power plants and one solar PV power plants are incorporated with the thermal power plants. The optimal power flow problem of single and conflicting multi-objectives are taken with this scenario. The second part of the paper, solar power plant is replaced with another wind power plant with the conventional coal-based power plants. The techno-economic analysis are done with this state of electrical system. In proposed work, lognormal and weibull probability distribution functions are also utilized for predicting solar and wind outputs, respectively. A non-dominated multi-objective moth flame optimization technique is used for the optimization issue. The fuzzy decision-making approach is applied for extracting the best compromise solution. The results are validated though adapted IEEE-30 bus test system, which is incorporated with wind and solar generating plants.
Volume: 18
Issue: 3
Page: 1582-1599
Publish at: 2020-06-01

UNet-VGG16 with transfer learning for MRI-based brain tumor segmentation

10.12928/telkomnika.v18i3.14753
Anindya Apriliyanti; Institut Teknologi Sepuluh Nopember Pravitasari , Nur; Institut Teknologi Sepuluh Nopember Iriawan , Mawanda; Institut Teknologi Sepuluh Nopember Almuhayar , Taufik; Institut Teknologi Sepuluh Nopember Azmi , Irhamah; Institut Teknologi Sepuluh Nopember Irhamah , Kartika; Institut Teknologi Sepuluh Nopember Fithriasari , Santi Wulan; Institut Teknologi Sepuluh Nopember Purnami , Widiana; Universitas Airlangga Ferriastuti
A brain tumor is one of a deadly disease that needs high accuracy in its medical surgery. Brain tumor detection can be done through magnetic resonance imaging (MRI). Image segmentation for the MRI brain tumor aims to separate the tumor area (as the region of interest or ROI) with a healthy brain and provide a clear boundary of the tumor. This study classifies the ROI and non-ROI using fully convolutional network with new architecture, namely UNet-VGG16. This model or architecture is a hybrid of U-Net and VGG16 with transfer Learning to simplify the U-Net architecture. This method has a high accuracy of about 96.1% in the learning dataset. The validation is done by calculating the correct classification ratio (CCR) to comparing the segmentation result with the ground truth. The CCR value shows that this UNet-VGG16 could recognize the brain tumor area with a mean of CCR value is about 95.69%.
Volume: 18
Issue: 3
Page: 1310-1318
Publish at: 2020-06-01

Design and comprehensive testing a 2.4 GHz antenna for WiFi access point

10.12928/telkomnika.v18i3.14940
Firdaus; Politeknik Negeri Padang Firdaus , Afida Nurul; Politeknik Negeri Padang Fatimah , Yulindon; Politeknik Negeri Padang Yulindon , Ratna; Politeknik Negeri Padang Dewi
A small size patch antenna for replacing TP-LINK WA 701 ND access point (AP) internal antena for 2.4 GHz is proposed. Measurements are carried out on AP external antenna to get the basic parameter of the antenna i.e. return loss, bandwidth, radiation pattern, and polarization. The patch antenna is designed by using IE3D simulator on FR4 material with the thickness of 1.6 mm and the dielectric constant of 4.4. The 42×28×1.6 mm overall size of the designed antenna is printed on FR 4 substrate, measured and compared to external AP antenna. The measurement result shows good agreement between simulation and designed antenna. The printed antenna covers 2.4 GHz, the gain of 2.5 dBi, and has linier polarization. This antenna is much smaller than 190×15×15 mm conventional TP-LINK WA 701 ND AP antennas and allows it to be hidden and integrated on the AP printed circuit board. The comparation of the designed antenna and external AP antenna is also conducted by evaluating both antenna performance on TP-LINK WA 701 ND AP by accessing it on a laptop on different access distance.
Volume: 18
Issue: 3
Page: 1176-1184
Publish at: 2020-06-01

Design of freeform lens for WLEDs on the fishing boat

10.12928/telkomnika.v18i3.12085
Nguyen Thi Phuong; Posts and Telecommunications Institute of Technology Loan , Thinh Cong; Ton Duc Thang University Tran
In this article, a free secondary lens is designed for an LED fishing/working lamp (LFWL), which is recommended for the purpose of taking the place of a traditional high-intensity discharge (HID) fishing lamp. To serve the lighting needs of fishing and the on-board activities on fishing boats, the innovative LED lamp is proposed. To make the freeform lens in our optics design process, we depended on Gaussian decomposition. In this way, it is easy to approach the targeted light intensity distribution curve (LIDC) of the LFWL lens. The simulated results show that the performance of the LED fishing/working lamps is much better than that of HID fishing lamps for illumination onboard, on the sea-surface, and underwater. Meanwhile, a lighting efficiency of 91% with the power consumption reduction of more than 50% can be achieved when the proposed LED fishing/working lamps are used instead of the HID fishing lamps.
Volume: 18
Issue: 3
Page: 1553-1560
Publish at: 2020-06-01

Vision: a web service for face recognition using convolutional network

10.12928/telkomnika.v18i3.14790
Akino; Universitas Multimedia Nusantara Archilles , Arya; Universitas Multimedia Nusantara Wicaksana
This paper proposes a face recognition module built as a web service. We introduce a novel design and mechanism for face recognition on a web platform and to memorize most recent users for the user. This web service is called Vision and developed using the Flask and TensorFlow deep learning framework. The face recognition process is powered by FaceNet deep convolutional network model. The face recognition process done by Vision could also be utilized for user authentication and user memorization, both done in on a web platform. As a demonstration of concept and viability, in this study, Vision is integrated into a web-based voice chatbot. The testing and evaluation of Vision’s face recognition process show an overall F-score of one for all test scenarios.
Volume: 18
Issue: 3
Page: 1389-1396
Publish at: 2020-06-01

Solar-powered flood early warning system with short message service (SMS) notifications

10.11591/ijeecs.v18.i3.pp1156-1162
Nur Anis Athirah , N. H. Radzi , M. N. Abdullah , S. A. Jumaat , N. Z. Mohamad
Flood is one of the most common hazards in Malaysia. Flood effects can be local, or very large, affecting the neighborhood or community and entire river basins. This flood develops slowly; sometimes over a period of days while sometimes develop quickly in just few minutes. With the real time flood information, it will allow public safety organizations and other emergency managers to effectively plan their resource deployment within the limited time of alert. Hence, this project aims to design the solar powered flood alert warning system by using solar energy as the power supply. This system will send message using GSM to the residents to notify them about the flood occurred. In this project, three LEDs were used to indicate the height of the water levels which are safe, alert and danger conditions. Each of the height have different water level that indicates the level of safety for each condition. 
Volume: 18
Issue: 3
Page: 1156-1162
Publish at: 2020-06-01

Radiation beam scanning for leaky wave antenna by using slots

10.12928/telkomnika.v18i3.15720
Jamal S.; Universiti Teknikal Malaysia Melaka Kasim , M.S. M.; Universiti Teknikal Malaysia Melaka Isa , Z.; Universiti Teknikal Malaysia Melaka Zakaria , M. I.; United Arab Emirates University Hussein , Mowafak K.; University of Kerbala Mohsen
This paper provides an insight of a new, microstrip leaky wave antenna. It holds the ability to continue steer its beam at a swapping frequency. This is done with acceptable impedance matching while scanning and very little gain variation. Investigation is carried out on LWAs’ control radiation pattern in steps at a band frequency via vertical and horizontal slots. The enhancement is realized by etching horizontal and vertical slots on the radiation element. This study also presents a novel half-width microstrip leaky wave antenna (LWA). The antenna is made up of the following basic structures group’s vertical and horizontal slots. The reactance profile at the microstrip’s free edge and thus the main beam direction is changed once the control-cell states are changed. The radiation pattern direction changes by sweeping the operating frequency between 4 GHz to 6 GHz.The main beam may be directed by the antenna between 15o and 55o. C band achieved the measured peak gain of the antenna of 10 dBi at 4.3 GHz beam scanning range.
Volume: 18
Issue: 3
Page: 1237-1242
Publish at: 2020-06-01

A new model for large dataset dimensionality reduction based on teaching learning-based optimization and logistic regression

10.12928/telkomnika.v18i3.13764
Hind Raad; Al Salam University College Ibraheem , Zahraa Faiz; Al Salam University College Hussain , Sura Mazin; Mustansiriyah University Ali , Mohammad; Aliraqia University Aljanabi , Mostafa Abdulghafoor; University Polytechnic of Bucharest Mohammed , Tole; Universitas Ahmad Dahlan Sutikno
One of the human diseases with a high rate of mortality each year is breast cancer (BC). Among all the forms of cancer, BC is the commonest cause of death among women globally. Some of the effective ways of data classification are data mining and classification methods. These methods are particularly efficient in the medical field due to the presence of irrelevant and redundant attributes in medical datasets. Such redundant attributes are not needed to obtain an accurate estimation of disease diagnosis. Teaching learning-based optimization (TLBO) is a new metaheuristic that has been successfully applied to several intractable optimization problems in recent years. This paper presents the use of a multi-objective TLBO algorithm for the selection of feature subsets in automatic BC diagnosis. For the classification task in this work, the logistic regression (LR) method was deployed. From the results, the projected method produced better BC dataset classification accuracy (classified into malignant and benign). This result showed that the projected TLBO is an efficient features optimization technique for sustaining data-based decision-making systems.
Volume: 18
Issue: 3
Page: 1688-1694
Publish at: 2020-06-01
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