Articles

Access the latest knowledge in applied science, electrical engineering, computer science and information technology, education, and health.

Advanced Search
Filter Icon

Filters article

Years

FAQ Arrow
Single Year
Range Year
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,456 Article Results

Higher performance and lower complexity turbo decoding scheme for 4G-LTE using unpunctured turbo trellis-coded modulation

10.11591/ijeecs.v18.i1.pp351-360
Elarbi Abderraouf , Abdesselam Bassou , Mohamed Rida Lahcene Rida Lahcene
Thanks to the success of smart phones and mobile-ready laptops, data traffic has recently grown exponentially, and the demand for mobile data has risen very dramatically. These requests in large capacity can only be satisfied by a high efficiency and a very good optimization of the infrastructures of the mobile networks, while taking into account the constraints which are the power, bandwidth and a limited complexity. The task of developing mobile technologies has also evolved from a national or regional focus to a complex and growing mission, supported by global standards development organizations such as 3GPP (3rd Group Partnership Project). Through this research, we present everything related to the simulation of the 4G mobile network system (LTE), which can provide high data flow with good quality, through three model channels known as (EPA, EVA, ETU). In this work we focus on the block ‘iterative decoding channel encoder’ in the LTE system, where the iterative channel coding called ‘Turbo-code’ (TC) is substituted by the iterative coding channel called ‘Unpunctured Turbo Trellis-coded Modulation’ (UTTCM). The simulation results showed that with less decoding complexities, UTTCM's LTE system gives good performance (in terms of BER).
Volume: 18
Issue: 1
Page: 351-360
Publish at: 2020-04-01

An optimal control for complete synchronization of 4D Rabinovich hyperchaotic systems

10.12928/telkomnika.v18i2.14301
Shaymaa Y.; University of Mosul Al-Hayali , Saad Fawzi; University of Mosul Al-Azzawi
This paper derives new results for the complete synchronization of 4D identical Rabinovich hyperchaotic systems by using two strategies: active and nonlinear control. Nonlinear control strategy is considered as one of the powerful tool for controlling the dynamical systems. The stabilization results of error dynamics systems are established based on Lyapunov second method. Control is designed via the relevant variables of drive and response systems. In comparison with previous strategies, the current controller (nonlinear control) focuses on convergence speed and the minimum limits of relevant variables. Better performance is to achieve full synchronization by designing the control with fewer terms. The proposed control has certain significance for reducing the time and complexity for strategy implementation.
Volume: 18
Issue: 2
Page: 994-1000
Publish at: 2020-04-01

The performance of Gauss Markov’s mobility model in emulated software defined wireless mesh network

10.11591/ijeecs.v18.i1.pp428-433
Tsehay Admassu Assegie , Pramod Sekharan Nair
Wireless mesh networks (WMNs) are a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area networks (WLANs).Test bed analysis and emulation plays an important role in evaluation of wireless networks and node mobility is the prominent feature of next generation wireless network. In this paper we will focus on the models of wireless station mobility and discuss their importance within the software defined wireless mesh network performance evaluation. The existing mobility models for the next generation software defined wireless network will be explored. Finlay, we will present the mobility models in the mininet-Wi-Fi test bed, and evaluate the performance of the models
Volume: 18
Issue: 1
Page: 428-433
Publish at: 2020-04-01

Glaucoma detection of retinal images based on boundary segmentation

10.11591/ijeecs.v18.i1.pp377-384
Noraina Alia Zainudin , Ain Nazari , Mohd Marzuki Mustafa , Wan NurShazwani Wan Zakaria , Nor Surayahani Suriani , Wan Nur Hafsha Wan Kairuddin
The rapid growth of technology makes it possible to implement in immediate diagnosis for patients using image processing. By using morphological processing and adaptive thresholding method for segmentation of optic disc and optic cup, various sizes of retinal fundus images captured through fundus camera from online databases can be processed. This paper explains the use of color channel separation method for pre-processing to remove noise for better optic disc and optic cup segmentation. Noise removal will improve image quality and in return help to increase segmentation standard. Then, morphological processing and adaptive thresholding method is used to extract out optic disc and optic cup from fundus image. The proposed method is tested on two publicly available online databases: RIM-ONE and DRIONS-DB. On RIM-ONE database, the average PSNR value acquired is 0.01891 and MSE is 65.62625. Meanwhile, for DRIONS-DB database, the best PSNR is 64.0928 and the MSE is 0.02647. In conclusion, the proposed method can successfully filter out any unwanted noise in the image and are able to help clearer optic disc and optic cup segmentation to be performed.
Volume: 18
Issue: 1
Page: 377-384
Publish at: 2020-04-01

Radial basis function neural network for 2 satisfiability programming

10.11591/ijeecs.v18.i1.pp459-469
Shehab Alzaeemi , Mohd. Asyraf Mansor , Mohd Shareduwan Mohd Kasihmuddin , Saratha Sathasivam , Mustafa Mamat
Radial Basis Function Neural Network (RBFNN) is very prominent in data processing. However, improving this technique is vital for the NN training process. This paper presents an integrated 2 Satisfiability in radial basis function neural network (RBFNN-2SAT). There are two different types of training in RBFNN, namely no-training technique and half-training technique. The performance of the solutions via Genetic Algorithm (GA) training was investigated by comparing the Radial Basis Function Neural Network No-Training Technique (RBFNN- 2SATNT) and Radial Basis Function Neural Network Half-Training Technique (RBFNN- 2SATHT). The comparison of both techniques was examined on 2 Satisfiability problem by using a C# software that was developed for this experiment. The performance of the RBFNN-2SATNT and RBFNN-2SATHT in performing 2SAT is discussed in terms of root mean squared error (RMSE), sum squared error (SSE), mean absolute percentage error (MAPE), mean absolute error (MAE), number of the hidden neurons and CPU time. Results obtained from a computer simulation showed that RBFNN-2SATHT outperformed RBFNN-2SATNT.
Volume: 18
Issue: 1
Page: 459-469
Publish at: 2020-04-01

Mobile-based monitoring system for an automatic cat feeder using Raspberry Pi

10.12928/telkomnika.v18i2.14819
Nenny; Universitas Islam Negeri Syarif Hidayatullah Jakarta Anggraini , Dzul Fadli; Peter the Great St. Petersburg Polytechnic University Russia Rahman , Luh Kesuma; Universitas Islam Negeri Syarif Hidayatullah Jakarta Wardhani , Nashrul; Universitas Islam Negeri Syarif Hidayatullah Jakarta Hakiem
In a Saheeh hadith it is explained that the cat is a clean animal that is free from najis, so keeping a cat is not something that is forbidden. One of the things that is important when keeping a cat is feeding. However, keeping a cat at home takes time and effort. In this digital era, the use of technology has penetrated all aspects of life. The objective of this research is to create a monitoring system for an automatic cat feeder using a webcam and a stepper motor that is connected to a Raspberry Pi as the main controller. The webcam can take pictures (photographs or videos) processed with the fswebcam and the avconv functions on the Raspberry Pi. The stepper motor can rotate the feed valve by utilising a General-Purpose Input Output (GPIO) pin and a program which is inserted into the Raspberry Pi. Next, the Raspberry Pi will be connected to the Internet and a server network so that the system control can be done remotely by using a web browser or web view on a mobile. The overall function of the system in the form of feeding the cat either directly or scheduled, as well as monitoring of photographs or videos around the feed. The results of a questionnaire showed that this system has a need value of 87.3% of 79 respondent cat keepers, meaning cat keepers will be greatly helped by the existence of this system.
Volume: 18
Issue: 2
Page: 1038-1046
Publish at: 2020-04-01

Combined ILC and PI regulator for wastewater treatment plants

10.12928/telkomnika.v18i2.14895
Lanh Van; Thai Nguyen University of Technology Nguyen , Nam Van; Thai Nguyen University of Technology Bach , Hai Trung; Thai Nguyen University of Technology Do , Minh Tuan; Thai Nguyen University of Technology Nguyen
Due to high nonlinearity with features of large time constants, delays, and interaction among variables, control of the wastewater treatment plants (WWTPs) is a very challenging task. Modern control strategies such as model predictive controllers or artificial neural networks can be used to deal with the non-linearity. Another characteristic of this system should be considered is that it works repetitively. Iterative learning control (ILC) is a potential candidate for such a demanding task. This paper proposes a method using ILC for WWTPs to achieve new results. By exploiting data from the previous iterations, the learning control algorithm can improve gradually tracking control performance for the next runs, and hence outperforms conventional control approaches such as feedback controller and model predictive control (MPC). The benchmark simulation model No.1-BSM1 has been used as a standard for performance assessment and evaluation of the control strategy. Control of the dissolved oxygen in the aerated reactors has been performed using the PD-type ILC algorithms. The obtained results show the advantages of ILC over a classical PI control concerning the control quality indexes, IEA and ISE, of the system. Besides, the conventional feedback regulator is designed in a combination with the iterative learning control to deal with uncertainty. Simulation results demonstrate the potential benefits of the proposed method.
Volume: 18
Issue: 2
Page: 1054-1061
Publish at: 2020-04-01

Brain computer interface based smart keyboard using neurosky mindwave headset

10.12928/telkomnika.v18i2.13993
Thair A.; Northern Technical University Salih , Yasir M.; Northern Technical University Abdal
In the last decade, numerous researches in the field of ‎electro-encephalo-graphy (EEG) and brain-computer-interface ‎‎(BCI) have been accomplished. BCI has been developed to aid ‎disabled/partially disabled people to efficiently communicate ‎with the community. This paper presents a control tool using ‎the Neurosky Mindwave headset, which detects brainwaves ‎‎(voluntary blinks and attention) to form a brain-computer ‎interface (BCI) by receiving the system signals from the frontal lobe. This paper proposed an alternative computer input device ‎for those disabled people (who are physically challenged) ‎rather than the conventional one. The work suggested to use ‎two virtual keyboard designs. The conducted experiment ‎revealed a significant result in developing user printing skills ‎on PCs. Encouraging results (1.55-1.8 word per minute ‎‎(WPM)) were obtained in this research in comparison to other ‎studies.
Volume: 18
Issue: 2
Page: 919-927
Publish at: 2020-04-01

Enhanced wormhole optimizer algorithm for solving optimal reactive power problem

10.11591/ijict.v9i1.pp1-8
Kanagasabai Lenin
In this paper Enhanced Wormhole Optimizer (EWO) algorithm is used to solve optimal reactive power problem. Proposed algorithm based on the Wormholes which exploits the exploration space. Between different universes objects are exchanged through white or black hole tunnels. Regardless of the inflation rate, through wormholes objects in all universes which possess high probability will shift to the most excellent universe. In the projected Enhanced Wormhole Optimizer (EWO) algorithm in order to avoid the solution to be get trapped into the local optimal solution Levy flight has been applied.  Projected Enhanced Wormhole Optimizer (EWO) algorithm has been tested in standard IEEE 14, 30, 57,118,300 bus test systems and simulation results show that the EWO algorithm reduced the real power loss efficiently.
Volume: 9
Issue: 1
Page: 1-8
Publish at: 2020-04-01

Optimal tuning of PI controller using genetic algorithm for wind turbine application

10.11591/ijeecs.v18.i1.pp167-178
Yamina Belgaid , M’hamed Helaimi , Rachid Taleb , Mohammed Benali Youcef
Nowadays, wind turbine energy has an increased importance in electrical power applications since when it is considered as an essential inexhaustible and broadly available energy resource. An aerogenerator is a device that transforms a part of the kinetic energy of the wind into available mechanical energy on a transmission shaft, and then into electrical energy through a generator, which is in our case a dual power asynchronous machine. An important characteristic of a wind turbine is that the avail, able maximum power is provided only in a single given operating point, called Maximum Power Point. Many classical methods and controllers have been widely developed and implemented to track the maximum power point. Among drawbacks of a classical PI controller is that its parameters are not constant, these conventional control laws may be are insufficient because they are not robust, especially when the accuracy requirements and other dynamic characteristics of the system are strict. The new idea in this paper is to introduce the Genetic Algorithms theory into the controlstrategy that used inthe conversion chain of the wind turbine, in order to improve stability. Simulation results approve that the application of Genetic Algorithms to the PI regulator, minimize or eliminate the drawbacks of the classical PI regulator, and greatly promote the efficiency and stability of the wind turbine systems.
Volume: 18
Issue: 1
Page: 167-178
Publish at: 2020-04-01

MPPT control of PV array based on PSO and adaptive controller

10.12928/telkomnika.v18i2.14845
Totok; State Polytechnic of Malang Winarno , Lucky Nindya; State Polytechnic of Malang Palupi , Agus; State Polytechnic of Malang Pracoyo , Lunde; Brawijaya University Ardhenta
In general, photovoltaic (PV) array is not able to generate maximum power automatically, because some partial shading caused by trees, clouds, or buildings. Irradiation imperfections received by the PV array are overcome by applying maximum power point tracking (MPPT) to the output of the PV array. In order to overcome these partial shading problems, this system is employing particle swarm optimization (PSO) as MPPT method. It optimizes the output power of the solar PV array by Zeta converter. Output voltage of MPPT has high rate such that it needs stepdown device to regulate certain voltage. Constant voltage will be the input voltage of buck converter and controlled using adaptive PID. Adaptive control based on model reference adaptive control (MRAC) has design that almost same as the conventional PID structure and it has better performance in several conditions. The proposed system is expected to have stable output and able to perfectly emulate the response of the reference model. From the simulation results, it appears that PSO have high tracking accuracy and high tracking speed to reach maximum power of PV array. In the output voltage regulation, adaptive control does not have a stable error status and consistently follows the set point value.
Volume: 18
Issue: 2
Page: 1113-1121
Publish at: 2020-04-01

A multi-levels RNG permutation

10.11591/ijeecs.v18.i1.pp412-419
Ammar Khaleel Abdulsadah , Abdullah Aziz Lafta , Mohammad Dosh
The paper proposes a new general method for producing a multilevel permutation functioning as an m-tree traversal. It is composed of two basic steps: a random number generator of period length equal m to determine which child to traverse, and recursive permutation in which permutated the subtree if found. The test results proved that the suggested method of permutation is successful depending on the correlation measure.
Volume: 18
Issue: 1
Page: 412-419
Publish at: 2020-04-01

Compact wide stopband microstrip lowpass filter using polygon patches and meandered lines

10.11591/ijict.v9i1.pp24-30
Adel Musavy , Akram Sheikhi
In this paper, a low pass filter based on T-Shaped resonator is presented. The T-Shaped resonator consists of meandered lines and rectangular patches. Also, the LC model and transfer function of the proposed resonator is presented. For suppression of spurious harmonics, a bandstop structure consists of hexangular patches and open stubs has been utilized. Finally, the wide stopband microstrip lowpass filter with cutoff frequency 2.72 GHz has been simulated, fabricated and measured. The LPF has good characteristics such as wide stopband and insertion loss lower than 0.18 dB in the passband region. The rejection level is less than -20 dB from 2.98 up to 21.3 GHz. The filter size is 10.5 mm×12.7 mm, or 0.131 λg× 0.158 λg, where λg is the guided wavelength. The measured and simulated results of the filter is in good agreement with each other, which show the merits of low insertion loss and wide stopband.
Volume: 9
Issue: 1
Page: 24-30
Publish at: 2020-04-01

RFID-GPS based mechanism using aodvrp for stolen vehicle detection in vanet

10.11591/ijeecs.v18.i1.pp396-404
Varun Chand , Karthikeyan J
The traffic on the road was in the rise for the past few years, with more and more vehicles enter the road there was less scope of having better traffic. However, it could be maintained with the implementation of the proper system. The other major concern was on the theft of the vehicles and the accidents the drivers succumb to while in the road. This paper recommends the novel RFID-GPS mechanism based on AODV Routing Protocol algorithm in the hybrid VANET configuration that was working as a decentralized Ad hoc. The algorithm was framed in such a manner that it could be effective in maintaining traffic through communication among Vehicles and vehicles (OBUs) to the Roadside Unit (RSU). The RSUs would generate the possible route by Ad hoc On-demand Distance vector routing protocol and control the signals within the accessible limit if there were an emergency. The information about the stolen vehicles and the driver would be sent to the police station and hospital respectively that aid to track the vehicle by the Radio Frequency Identification-Global Positioning System (GPS) information and save the driver in case of an accident. The performance of the RFID-GPS mechanism based on AODV algorithm based on VANET was analyzed in NS2 and is related to the existing Zigbee. The outcomes exhibited that the proposed method was better in all performance metrics especially in throughput.
Volume: 18
Issue: 1
Page: 396-404
Publish at: 2020-04-01

Investigating dengue outbreak in Tamil Nadu, India

10.11591/ijeecs.v18.i1.pp502-507
N Komal Kumar , R. Lakshmi Tulasi , D. Vigneswari
Dengue has been indigenous to India in last decade. There was a major outbreak in the state of Tamil Nadu in 2017. Here, we investigate the dengue outbreak in parts of Tamil Nadu, India. Dengue case data were obtained from the hospital records in the Chennai district of Tamil Nadu. The data were analyzed using statistical approaches such as correlation and regression. The result shows that the dengue outbreak in Tamil Nadu during 2017 was due to the population, water stagnation, and sewage, whereas the human activity weren’t the cause of the dengue outbreak which caused 65 deaths. Male constitutes 54.71% whereas female accounted for 45.29% of dengue incidence in Tamil Nadu, majority deaths were children aged less than 10 years due to the outbreak of Dengue Hemorrhagic Fever (DHF). This investigation was evaluated using mathematical regressions, Geographically Weighted Regression (GWR) regression outperformed Ordinary Least Square (OLS) regression model in detecting dengue incidence. This investigation can be strengthened by implementing a surveillance system in parts of Tamil Nadu before an outbreak.
Volume: 18
Issue: 1
Page: 502-507
Publish at: 2020-04-01
1 2 3
...
2097 2098
Show 1265 of 2098

Discover Our Library

Embark on a journey through our expansive collection of articles and let curiosity lead your path to innovation.

Explore Now
Library 3D Ilustration