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

29,922 Article Results

Design and performance analysis of stand-alone PV system at Al-Nahrain University, Baghdad, Iraq

10.11591/ijpeds.v11.i2.pp921-930
Anas Lateef Mahmood , Amina Mahmood Shakir , Bahaa Abdulkhaliq Numan
The use of the stand-alone PV systems for electric power generation is important to meet the needs of electric power, especially in countries that have major problems in the generation and continuity of electricity such as Iraq. The aim of this research is to design and simulate a stand-alone PV system installed on the roof of the parking garage in the College of Engineering at Al-Nahrain University for the purpose of using the electrical energy generated by this system to meet the energy demand of the daily light for the parking garage and engineering laboratories buildings beside it. The main factor in the design was the total area of the roof of the parking garage. The Pvsyst6 program is used to simulate the suggested PV system and to determine the effect of partial shading which caused by the trees surrounding the garage on the available generated power of the system. A comparison was made between four types of solar panels to see the suitability of these types to the weather conditions in Iraq, in addition to the impact of the shadows surrounding the garage. These types of solar panels were (CIS SL2-145, CdTe F-4112-3, Poly JAP6-60-260, and Mono JAM6-60-260), CdTe type showed better performance compared to other types in terms of available energy generated because it has small losses due to temperature and shadows. It was found that the best tilt angle of the solar panels in the case of shadows is 19o to the south. Finally, the financial analysis was made to see the economic feasibility of this PV system and it is found that the PV system that uses CdTe panels has the smallest kWh unit price (0.236 $/kWh) as compared with the other three types.
Volume: 11
Issue: 2
Page: 921-930
Publish at: 2020-06-01

A new multilevel DC-AC converter topology with reduced switch using multicarrier sinusoidal pulse width modulation

10.11591/ijpeds.v11.i2.pp752-761
R. Palanisamy , S. Vidyasagar , V. Kalyanasundaram , D. Karthikeyan , K. Selvakumar , D. Selvabharathi , K. Vijayakumar
Multilevel converters have a significant role in power processing control in the power system, which has some inherent features like reduced harmonics, high power & medium voltage, reduced voltage stress. In this proposed paper, a novel multilevel inverter with reduced number of switches and without passive components. The proposed inverter generates 15 level output voltage with suitable switching pulse generation using multicarrier sinusoidal pulse width modulation (MSPWM) and different level of voltages are obtained with variation of modulation index. Also coupled inductor is used to minimize the harmonic content and smoothing output current. The scheme which includes different range of unequal voltage sources. As a result, the proposed system it reduces switching control complexity and there is no voltage balancing problem. This paper elucidates the operating modes, voltage stress minimisation and harmonic reduction are discussed. The results of the proposed multilevel dc-ac converter are verified using matlab/simulink. The simulation & hardware results of the proposed inverter were verified using matlab simulink and dsPIC controller respectively, which was analysed with different voltage level and different modulation index.
Volume: 11
Issue: 2
Page: 752-761
Publish at: 2020-06-01

Disease prediction in big data healthcare using extended convolutional neural network techniques

10.11591/ijaas.v9.i2.pp85-92
Asadi Srinivasulu , Asadi Pushpa
Diabetes Mellitus is one of the growing fatal diseases all over the world. It leads to complications that include heart disease, stroke, and nerve disease, kidney damage. So, Medical Professionals want a reliable prediction system to diagnose Diabetes. To predict the diabetes at earlier stage, different machine learning techniques are useful for examining the data from different sources and valuable knowledge is synopsized. So, mining the diabetes data in an efficient way is a crucial concern. In this project, a medical dataset has been accomplished to predict the diabetes. The R-Studio and Pypark software was employed as a statistical computing tool for diagnosing diabetes.  The PIMA Indian database was acquired from UCI repository will be used for analysis. The dataset was studied and analyzed to build an effective model that predicts and diagnoses the diabetes disease earlier.
Volume: 9
Issue: 2
Page: 85-92
Publish at: 2020-06-01

Decomposition of color wavelet with higher order statistical texture and convolutional neural network features set based classification of colorectal polyps from video endoscopy

10.11591/ijece.v10i3.pp2986-2996
A. S. M. Shafi , Mohammad Motiur Rahman
Gastrointestinal cancer is one of the leading causes of death across the world. The gastrointestinal polyps are considered as the precursors of developing this malignant cancer. In order to condense the probability of cancer, early detection and removal of colorectal polyps can be cogitated. The most used diagnostic modality for colorectal polyps is video endoscopy. But the accuracy of diagnosis mostly depends on doctors' experience that is crucial to detect polyps in many cases. Computer-aided polyp detection is promising to reduce the miss detection rate of the polyp and thus improve the accuracy of diagnosis results. The proposed method first detects polyp and non-polyp then illustrates an automatic polyp classification technique from endoscopic video through color wavelet with higher-order statistical texture feature and Convolutional Neural Network (CNN). Gray Level Run Length Matrix (GLRLM) is used for higher-order statistical texture features of different directions (Ɵ = 0o, 45o, 90o, 135o). The features are fed into a linear support vector machine (SVM) to train the classifier. The experimental result demonstrates that the proposed approach is auspicious and operative with residual network architecture, which triumphs the best performance of accuracy, sensitivity, and specificity of 98.83%, 97.87%, and 99.13% respectively for classification of colorectal polyps on standard public endoscopic video databases.
Volume: 10
Issue: 3
Page: 2986-2996
Publish at: 2020-06-01

Comparison between proposed fuzzy logic and ANFIS for MPPT control for photovoltaic system

10.11591/ijpeds.v11.i2.pp1065-1073
Lotfi Farah , Adel Haddouche , Ali Haddouche
In this paper, a maximum power point tracking (MPPT) algorithm for photovoltaic (PV) systems is achieved based on fuzzy logic controller (FLC) and compared with an anfis (neuro-fuzzy) based mppt controller, this method allies the abilities of artificial neural networks in learning and the power of fuzzy logic to handle imprecise data. Both methods are simulated using matlab/ simulink. The choise of power variation and the current variation as inputs of the proposed controllersreducesthe calculation. Both FLC and ANFIS based MPPTare tested in terms of steady state performance and the pv system dynamic.
Volume: 11
Issue: 2
Page: 1065-1073
Publish at: 2020-06-01

Optimal parameter estimation for a DC motor using genetic algorithm

10.11591/ijpeds.v11.i2.pp1047-1054
Mohammad Soleimani Amiri , Mohd Faisal Ibrahim , Rizauddin Ramli
Estimating the parameters of a geared DC motor is crucial in terms of its non-linear features. In this paper, parameters of a geared DC motor are estimated genetically. Mathematical model of the DC motor is determined by Kirchhoff’s law and dynamic model of its shafts and gearbox. Parameters of the geared DC motor are initially estimated by MATLAB/SIMULINK. The estimated parameters are defined as initial values for Genetic Algorithm (GA) to minimize the error of the simulated and actual angular trajectory captured by an encoder. The optimal estimated model of the geared DC motor is validated by different voltages as the input of the actual DC motor and its mathematical model. The results and numerical analysis illustrate it can be ascertained that GA is appropriate to estimate the parameters of platforms with non linear characteristics.
Volume: 11
Issue: 2
Page: 1047-1054
Publish at: 2020-06-01

DG integration to distribution system with active power injection control

10.11591/ijpeds.v11.i2.pp692-701
P. V. V Satyanarayana , P. V. Ramana Rao
Conventional methodology for electrical power generation is vulnerable due to environmental limitations and the availability of fuel. Distributed generation, offering virtuous benefits to the market partakers, is trending in electrical power system in modern era. This paper presents the distributed generation integration to grid with active power injection control. Distributed generation source delivers DC power which is processed through square wave inverter. Inverter circuit is controlled using a simple control technique to match grid code. Fixing the current reference and varying the same, analysis is carried out for grid integration scheme of distributed generation injecting active power to grid. Simulation work is carried out and results are shown using MATLAB/SIMULINK software.
Volume: 11
Issue: 2
Page: 692-701
Publish at: 2020-06-01

An improved control for MPPT based on FL-PSo to minimize oscillation in photovoltaic system

10.11591/ijpeds.v11.i2.pp1082-1087
Aji Akbar Firdaus , Riky Tri Yunardi , Eva Inaiyah Agustin , Sisca D. N. Nahdliyah , Teguh Aryo Nugroho
Photovoltaic (PV) is a source of electrical energy derived from solar energy and has a poor level of efficiency. This efficiency is influenced by PV condition, weather, and equipments like Maximum Power Point Tracking (MPPT). MPPT control is widely used to improve PV efficiency because MPPT can produce optimal power in various weather conditions. In this paper, MPPT control is performed using the Fuzzy Logic-Particle Swarm Optimization (FL-PSO) method. This FL-PSO is used to get the Maximum Power Point (MPP) and minimize the output power oscillation from PV. From the simulation results using FL-PSO, the values of voltage, and output power from the boost converter are 183.6 V, and 637.7 W, respectively. The ripple of output power from PV with FL-PSO is 69.5 W. Then, the time required by FL-PSO reaches MPP is 0.354 s. Compared with MPPT control based on the PSO method, the MPPT technique using FL-PSO indicates better performance and faster than the PSO.
Volume: 11
Issue: 2
Page: 1082-1087
Publish at: 2020-06-01

Fault detection and location of power transmission lines using intelligent distance relay

10.11591/ijpeds.v11.i2.pp726-734
Sa’ad Ahmed S. Al Kazzaz , Ibrahim Ismaeel , Karam Khairullah Mohammed
The aim of this paper is to design a three-phase distance relay using an adaptive neuro-fuzzy inference system algorithm (ANFIS). The proposed relay is used to protect the power transmission lines where they are subjected to faults continuously. These faults may produce a high electric current which leads to high damage in power system equipment. The relay is used to detect the transmission line faults by measuring the voltage and current values for each phase. The line impedance is then calculated to detect the faults and issue instantaneous trip signal to circuit breaker, to separate the fault zone of the transmission line without affecting the work of other relays. To isolate the faulty line without affecting the other lines within the network the relays were trained using adaptive neuro-fuzzy inference system (ANFIS). The obtained results through this work show that the designated distance relay with (ANFIS) algorithm has the ability to detect the faults occurrence, recognize it from the cases of the disturbance and to isolate only the fault zone without affecting the work of other relays in system.
Volume: 11
Issue: 2
Page: 726-734
Publish at: 2020-06-01

Development of a 3D bio-printer using CoreXY mechanism and syringe-based extrusion

10.11591/ijeecs.v18.i3.pp1180-1187
Chin Fhong Soon , Mohammad Faez Ramilan , Dirman Hanafi , Wan Nurshazwani Wan Zakaria , Safinaz Mohd Khialdin , Hazlita Isa , Kian Sek Tee
3D Bio-printer is said to have potential in the applications of medical studies and tissue engineering. A 3D Bio-printer could be used to print the artificial organs for organs transplant and cell tissue culture for generating new cell tissue. It could help in future medical and biological research. This paper presents the development process, i.e. working principle of Fused Deposition Modelling (FDM), mechanical, electrical and related applied software, of a 3D Bio-printer using syringe-based extruder and Core XY mechanism. Up to date, FDM is a popular technique because it is easily implemented, precise and accurate. The printed product revealed high repeativity, where (sample mean, sample standard deviation) is (  mm. The procedure could help future customized 3D Bio-printer. 
Volume: 18
Issue: 3
Page: 1180-1187
Publish at: 2020-06-01

Improvement of adaptive fuzzy control to adjust speed for a doubly fed induction motor drive (DFIM)

10.11591/ijpeds.v11.i1.pp496-504
Dahhou Brahim , Bendjebbar Mokhtar , Lachtar Salah
This paper presents the doubly fed induction motor (DFIM) speed control using adaptive fuzzy logic PI (AFLPI) controller to give better dynamic performances. Before the advent of modern technology, integral proportional based current controller is usually used due to its simplicity. But, the performance of closed-loop control is largely influenced by this type of speed and torque controllers used, as long as the PI controllers suffer from tuning problem. To overcome the problem, a new technique AFLPI based speed controller for direct field oriented control fed DFIM to get fast speed response and to minimize the torque ripple. The application of this type of control is very satisfactory to replace the conventional PI controller and, even the fuzzy logic PI (FLPI) controller. The performance of the field oriented controlled DFIM drive has simulated at different operating conditions using the AFLPI controller and the obtained results are compared with FLPI controller and conventional PI controller. Accordingly, an improvement in dynamic and robustness is clearly appears in AFLPI controller simulation results compared to the others aforementioned controllers. Simulation Results are presented for the three techniques using Matlab/Simulink to prove the dynamic performances and robustness.
Volume: 11
Issue: 1
Page: 496-504
Publish at: 2020-06-01

The pertinent single-attribute-based classifier for small datasets classification

10.11591/ijece.v10i3.pp3227-3234
Mona Jamjoom
Classifying a dataset using machine learning algorithms can be a big challenge when the target is a small dataset. The OneR classifier can be used for such cases due to its simplicity and efficiency. In this paper, we revealed the power of a single attribute by introducing the pertinent single-attribute-based-heterogeneity-ratio classifier (SAB-HR) that used a pertinent attribute to classify small datasets. The SAB-HR’s used feature selection method, which used the Heterogeneity-Ratio (H-Ratio) measure to identify the most homogeneous attribute among the other attributes in the set. Our empirical results on 12 benchmark datasets from a UCI machine learning repository showed that the SAB-HR classifier significantly outperformed the classical OneR classifier for small datasets. In addition, using the H-Ratio as a feature selection criterion for selecting the single attribute was more effectual than other traditional criteria, such as Information Gain (IG) and Gain Ratio (GR).
Volume: 10
Issue: 3
Page: 3227-3234
Publish at: 2020-06-01

Analysis of fuzzy logic controller based bi-directional DC-DC converter for battery energy management in hybrid solar/wind micro grid system

10.11591/ijece.v10i3.pp2271-2284
M. Nagaiah , K. Chandra Sekhar
This paper proposes a fuzzy logic-based battery energy management system in hybrid renewable system. The novel topology consists of solar and wind energy system-based input sources and a battery bank to store the energy when in excess. The PV-Wind source is equipped with unidirectional boost converter whereas, the battery storage system is connected to the system with a bi-directional DC/DC converter. The main novelty of this research is the fuzzy logic-based battery management system which charges and discharges into the DC bus system based on the supply-load demand. The fuzzy logic controller (FLC) based maximum power point tracking (MPPT) is used in the PV and wind energy conversion system (WECS) to track the maximum available power for the different irradiance and wind velocity respectively. The obtained results are compared to conventional P&O MPPT control algorithm to find the effectiveness of the system. A 500 W PV system and a 500 W Permanent magnet synchronous generator (PMSG) based WECS is implemented for its simplicity and high efficiency. The proposed control topology is designed and tested using MATLAB/Simulink
Volume: 10
Issue: 3
Page: 2271-2284
Publish at: 2020-06-01

Simulation of LTE-TDD in the HAPS channel

10.11591/ijece.v10i3.pp3152-3157
Aws Majeed Al-awadi , Mohammed Jawad Al-dujaili
LTE stands for Long Term Evolution. This technology enhances the data rate and capacity using a new radio interface and an optimized core network. This progress was done to satisfy standards defined for the fourth generation of cellular communications in ITU. LTE has two types of transmission: Frequency Division Duplex (FDD) and Time Division Duplex (TDD). Nowadays, LTE-TDD rapidly Grows and takes place of old fixed cellular communications, like WiMAX. Another upcoming technology in the communication industry is High Amplitude Platform Stations (HAPS). Studying the capability of HAPS as a base station for LTE-TDD is the main purpose of this paper. Simulations have done using HAPS channel and compared to Stanford University Interim (SUI) standard channels for different scenarios. Results were compared to achieve a conclusion on HAPS implementation for LTE-TDD based on BER and data throughput.
Volume: 10
Issue: 3
Page: 3152-3157
Publish at: 2020-06-01

Design and implement of pulse width modulation with low-cost hardware in the loop

10.11591/ijpeds.v11.i2.pp870-878
Qasim Al Azze , Mohammed Hasan Ali
The paper presents a low-cost hardware in the loop based on Arduino. Sinusoidal Pulse Width Modulation (SPWM) designing, analyzing, and implementation is experimented as hardware in the loop. Sinusoidal Pulse Width Modulation implementation via MATLAB\Simulation demonstrates in this work. In this paper, Arduino Mega2560 platform, microcontroller, introduce as hardware. A comparative study of the both techniques is presented. Arduino interfaces with PC Target MATLAB environment. Three phases Voltage Source Inverter directs by the generated pulses that loads with three phases RLC. The obtaining output current and voltage waveform of RLC load of Hardware-in-the-Loop validates to the MATLAB\simulation output waveform. The compering shows the output waveforms are primarily having the same pattern. Arduino consider as the lost cost as microcontroller which could be used in real application.
Volume: 11
Issue: 2
Page: 870-878
Publish at: 2020-06-01
1 2 3
...
1994 1995
Show 1125 of 1995

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