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31,456 Article Results

Performance evaluation of interference aware topology power and flow control channel assignment algorithm

10.11591/ijece.v10i3.pp2503-2512
Jatinder Singh Saini , Balwinder Singh Sohi
Multi-Radio Multi-Channel Wireless Mesh Network (MRMC-WMN) has been considered as one of the key technology for the enhancement of network performance. It is used in a number of real-time applications such as disaster management system, transportation system and health care system. MRMC-WMN is a multi-hop network and allows simultaneous data transfer by using multiple radio interfaces. All the radio interfaces are typically assigned with different channels to reduce the effect of co-channel interference. In MRMC-WMN, when two nodes transmit at the same channel in the range of each other, generates co-channel interference and degrades the network throughput. Co-channel interference badly affects the capacity of each link that reduces the overall network performance. Thus, the important task of channel assignment algorithm is to reduce the co-channel interference and enhance the network performance. In this paper, the problem of channel assignment has been addressed for MRMC-WMN. We have proposed an Interference Aware, Topology, Power and Flow Control (ITPFC) Channel Assignment algorithm for MRMC-WMN. This algorithm assignes the suitable channels to nodes, which provides better link capacity and reduces the co-channel interference. In the previous work performance of the proposed algorithm has been evaluated for a network of 30 nodes. The aim of this paper is to further evaluate the performance of proposed channel assignment algorithm for 40 and 50 nodes network. The results obtained from these networks show the consistent performance in terms of throughput, delay, packet loss and number of channels used per node as compared to LACA, FCPRA and IATC Channel Assignment algorithms.
Volume: 10
Issue: 3
Page: 2503-2512
Publish at: 2020-06-01

Image denosing in underwater acoustic noise using discrete wavelet transform with different noise level estimation

10.12928/telkomnika.v18i3.14381
Yasin Yousif; University of Mustansiriyah Al-Aboosi , Radhi Sehen; University of Mustansiriyah Issa , Ali Khalid; University of Mustansiriyah Jassim
In many applications, Image de-noising and improvement represent essential processes in presence of colored noise such that in underwater. Power spectral density of the noise is changeable within a definite frequency range, and autocorrelation noise function is does not like delta function. So, noise in underwater is characterized as colored noise. In this paper, a novel image de-noising method is proposed using multi-level noise power estimation in discrete wavelet transform with different basis functions. Peak signal to noise ratio (PSNR) and mean squared error represented performance measures that the results of this study depend on it. The results of various bases of wavelet such as: Daubechies (db), biorthogonal (bior.) and symlet (sym.), show that denoising process that uses in this method produces extra prominent images and improved values of PSNR than other methods.
Volume: 18
Issue: 3
Page: 1439-1446
Publish at: 2020-06-01

Stereo vision-based obstacle avoidance module on 3D point cloud data

10.12928/telkomnika.v18i3.14829
Eko Purbo; Politeknik Elektronika Negeri Surabaya Wahyono , Endah Suryawati; Politeknik Elektronika Negeri Surabaya Ningrum , Raden Sanggar; Politeknik Elektronika Negeri Surabaya Dewanto , Dadet; Robotics and Intelligent System Center Pramadihanto
This paper deals in building a 3D vision-based obstacle avoidance and navigation. In order for an autonomous system to work in real life condition, a capability of gaining surrounding environment data, interpret the data and take appropriate action is needed. One of the required capability in this matter for an autonomous system is a capability to navigate cluttered, unorganized environment and avoiding collision with any present obstacle, defined as any data with vertical orientation and able to take decision when environment update exist. Proposed in this work are two-step strategy of extracting the obstacle position and orientation from point cloud data using plane based segmentation and the resultant segmentation are mapped based on obstacle point position relative to camera using occupancy grid map to acquire obstacle cluster position and recorded the occupancy grid map for future use and global navigation, obstacle position gained in grid map is used to plan the navigation path towards target goal without going through obstacle position and modify the navigation path to avoid collision when environment update is present or platform movement is not aligned with navigation path based on timed elastic band method.
Volume: 18
Issue: 3
Page: 1514-1521
Publish at: 2020-06-01

Slope stability prediction of road embankment on soft ground treated with prefabricated vertical drains using artificial neural network

10.11591/ijai.v9.i2.pp236-243
Rufaizal Che Mamat , Abd Manan Samad , Anuar Kasa , Siti Fatin Mohd Razali , Azuin Ramli , Mohd Badrul Hafiz Che Omar
This paper presents the slope stability for road embankment constructed on the soft ground treated with prefabricated vertical drains (PVDs). The slope stability was evaluated based on the factor of safety (FOS) through numerical analysis and modeled with an artificial neural network (ANN). The permeability ratio of the smear effect was verified based on a comparative analysis between field data and numerical simulation to develop the datasets used in ANN model training. A total of 75 datasets generated from numerical simulations were randomly selected into three groups for training, testing, and validation. The coefficient of determination (R2) and root mean square error (RMSE) were considered to evaluate the performance ANN model. It was found that the developed ANN model showed strong potential for predicting slope stability within the accepted range.
Volume: 9
Issue: 2
Page: 236-243
Publish at: 2020-06-01

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

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

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

Features detection based blind handover using kullback leibler distance for 5G HetNets systems

10.11591/ijai.v9.i2.pp193-202
Adnane El Hanjri , Aawatif Hayar , Abdelkrim Haqiq
The Fifth Generation of Mobile Networks (5G) is changing the cellular network infrastructure paradigm, and Small Cells are a key piece of this shift. But the high number of Small Cells and their low coverage involve more Handovers to provide continuous connectivity, and the selection, quickly and at low energy cost, of the appropriate one in the vicinity of thousands is also a key problem. In this paper, we propose a new method, to have an efficient, blind and rapid handover just by analysing Received Signal probability density function instead of demodulating and analysing Received Signal itself as in classical handover. The proposed method exploits KL Distance, Akaike Information Criterion (AIC) and Akaike weights, in order to decide blindly the best handover and the best Base Station (BS) for each user
Volume: 9
Issue: 2
Page: 193-202
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
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