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

28,428 Article Results

Mobile Ad hoc Networks: Modelling, Application and Data Routing Evaluation

10.11591/ijict.v6i1.pp20-30
Aadri Alaa , Idrissi Najlae
A Mobile Ad hoc Network generally called MANET[1][2] consists of a set of mobile nodes equipped with wireless communication interfaces, forming a network without resorting to any fixed infrastructure or centralized administration, this research topic has attracted increasing interest among researchers given their characteristics and potential applications and subsets (VANET[3], WSN[4]). This paper treats both scientific and technological research aimed at presenting an in-depth study of these networks and evaluating solutions to address their problems, particularly that of routing, in order to facilitate their deployment.
Volume: 6
Issue: 1
Page: 20-30
Publish at: 2017-06-22

Comparison of the Resonant Frequency Determination of a Microstrip Patch Antenna using ANN and Analytical Methods

10.11591/ijict.v6i1.pp1-9
Lahcen Aguni , Samira Chabaa , Saida Ibnyaich , Abdelouhab Zeroual
In this paper we are interested to calculate the resonant frequency of rectangular patch antenna using artificial neural networks based on the multilayered perceptrons. The artificial neural networks built, transforms the inputs which are, the width of the patch W, the length of the patch L, the thickness of the substrate h and the dielectric permittivity to the resonant frequency fr which is an important parameter to design a microstrip patch antenna.The proposed method based on artificial neural networks is compared to some analytical methods using some statistical criteria. The obtained results demonstrate that artificial neural networks are more adequate to achieve the purpose than the other methods and present a good argument with the experimental results available in the literature. Hence, the artificial neural networks can be used by researchers to predict the resonant frequency of a rectangular patch antenna knowing length (L), width (W), thickness (h) and dielectric permittivity with a good accuracy.
Volume: 6
Issue: 1
Page: 1-9
Publish at: 2017-06-22

Detection & Classification of Cardiac Arrhythmia

10.11591/ijict.v6i1.pp31-36
Chetan M. Jadhav , V. K. Bairagi
The term Arrhythmia refers to any change from the normal sequence in the electrical impulses. It is also treated as abnormal heart rhythms or irregular heartbeats. The rate of growth of Cardiac Arrhythmia disease is very high & its effects can be observed in any age group in society. Arrhythmia detection can be done in many ways but effective & simple method for detection & diagnosis of  Cardiac Arrhythmia is by doing analysis of Electrocardiogram signals from ECG sensors. ECG signal can give us the detail information of heart activities, so we can use ECG signals to detect the rhythm & behaviour of heart beats resulting into detection & diagnosis of Cardiac Arrhythmia. In this paper new & improved methodology for early Detection & Classification of Cardiac Arrhythmia has been proposed. In this paper ECG signals are captured using ECG sensors & this ECG signals are used & processed to get the required data regarding heart beats of the human being & then proposed methodology applies for Detection & Classification of Cardiac Arrhythmia. Detection of Cardiac Arrhythmia using ECG signals allows us for easy & reliable way with low cost solution to diagnose Arrhythmia in its prior early stage.
Volume: 6
Issue: 1
Page: 31-36
Publish at: 2017-06-22

Coplanar Waveguide Fed Circularly Polarized Notch Band Antenna with Defected Ground Structure

10.11591/ijict.v6i1.pp58-68
P Poorna Priya , Habibulla Khan , B T P Madhav
A compact printed wideband antenna with circular polarization is designed and the antenna parameters are analyzed in this work. Finite Element method based HFSS tool is used to design and simulate the antenna model. A basic structure of rectangular monopole is converted into a trapezoidal shape with tapered step ground. Different iterations of radiating element as well as defected ground structures are examined in this work to analyze the circular polarization characteristics of the antenna. A peak realized gain of 4.3dB and peak directivity of 3.8dB is attained from the current designed models. The design models are optimized and prototyped on FR4 substrate for measurement validation. By incorporating Split ring resonator (SRR) notch band characteristics are attained in the proposed wideband antenna.
Volume: 6
Issue: 1
Page: 58-68
Publish at: 2017-06-22

Sensor Fault Detection and Isolation Based on Artificial Neural Networks and Fuzzy Logic Applicated on Induction Motor for Electrical Vehicle

10.11591/ijpeds.v8.i2.pp601-611
Souha Boukadida , Soufien Gdaim , Abdellatif Mtiba
Recently, research has picked up a fervent pace in the area of fault diagnosis of electrical vehicle. Like failures of a position sensor, a voltage sensor, and current sensors. Three-phase induction motors are the “workhorses” of industry and are the most widely used electrical machines. This paper presents a scheme for Fault Detection and Isolation (FDI). The proposed approach is a sensor-based technique using the mains current measurement. Current sensors are widespread in power converters control and in electrical drives. Thus, to ensure continuous operation with reconfiguration control, a fast sensor fault detection and isolation is required. In this paper, a new and fast faulty current sensor detection and isolation is presented. It is derived from intelligent techniques. The main interest of field programmable gate array is the extremely fast computation capabilities. That allows a fast residual generation when a sensor fault occurs. Using of Xilinx System Generator in Matlab / Simulink allows the real-time simulation and implemented on a field programmable gate array chip without any VHSIC Hardware Description Language coding. The sensor fault detection and isolation algorithm was implemented targeting a Virtex5. Simulation results are given to demonstrate the efficiency of this FDI approach.
Volume: 8
Issue: 2
Page: 601-611
Publish at: 2017-06-01

RF Energy Harvesting Study Using Various Metamaterial Patch Structure

10.11591/ijece.v7i3.pp1574-1579
M. S. Zainudin , M. K. A. Rahim , N. A. Samsuri , H. A. Majid
The E-field absorbance performance of various metamaterial absorber structure is presented. The study started from the simulation of various design patch of metamaterial absorber. The performances are measured from the reflection coefficient, percentage of absorption, value of E-field and the surface current for circle, square and hexagon patch design of metamaterial absorber. From the simulation, it is shown that the circle patch design shows the most reliable design for harvest energy with the absorption of 99.85% and highest E-field concentration of 2.07 × 105 V/m.
Volume: 7
Issue: 3
Page: 1574-1579
Publish at: 2017-06-01

Multicarrier-SPWM Based Novel 7-Level Inverter Topology with Photovoltaic System

10.11591/ijpeds.v8.i2.pp826-834
R. Palanisamy , V. Sinmayee , K. Selvakumar , K. Vijayakumar
In this paper a novel 5 switch seven level DC-AC inverter is being proposed. The proposed multilevel inverter uses reduced number of switches as compared to the switches used in the conventional multilevel inverter. The inverter has been designed to generate a 7 level AC output using 5 switches. The voltage stress on each of the switches as well as the switching losses is found to be less, minimized common mode voltage (CMV) level and reduced total harmonic distortion. The proposed 7-level inverter topology has four dc sources, which is energized through the PV system. Proposed inverter is controlled with help of multicarrier sinusoidal pulse width modulation (MCSPWM).The simulation and hardware results were verified using matlab simulink and dspic microcontroller respectively.
Volume: 8
Issue: 2
Page: 826-834
Publish at: 2017-06-01

Maximum Boost Control for 7-level Z-source Cascaded H-Bridge Inverter

10.11591/ijpeds.v8.i2.pp739-746
R. Palanisamy , K. Vijayakumar
This paper proposes maximum boost control for 7-level z-source cascaded h-bridge inverter and their affiliation between voltage boost gain and modulation index. Z-source network avoids the usage of external dc-dc boost converter and improves output voltage with minimised harmonic content. Z-source network utilises distinctive LC impedance combination with 7-level cascaded inverter and it conquers the conventional voltage source inverter. The maximum boost controller furnishes voltage boost and maintain constant voltage stress across power switches, which provides better output voltage with variation of duty cycles. Single phase 7-level z-source cascaded inverter simulated using matlab/simulink.
Volume: 8
Issue: 2
Page: 739-746
Publish at: 2017-06-01

Urban Road Materials Identification using Narrow Near Infrared Vision System

10.11591/ijece.v7i3.pp1171-1179
Heru Purnomo Ipung , Handayani Tjandrasa
An urban road materials vision system using narrow band near infrared imaging indexes were proposed. This proposed imaging indexes were enhancement for previous work on autonomous multispectral road sensing method. Each urban road material has different near infrared spectral patterns which is as the base of its spectral identification. The new proposed imaging indexes, which using similar formula of NDVI, was normalized with narrow band near infrared spectrum range of 720nm to 1000nm of wavelength, were used to identify concretes, aggregates/sands/rocks, clay, natural dry fibers and bitumen/asphalt that make up most of urban road materials. This paper proposes imaging indexes evaluation from experiment results to identify those urban road materials. There were seven narrow band optical filter sets with the center spectrum at 710nm, 730nm, 750nm, 800nm, 870nm, 905nm and 970nm. Normalization band used was 720nm using high pass optical filter. The proposed multi-spectral imaging indexes were able to show the potential to classify the selected urban road materials, another approach may need to clearly distinguish between concrete and aggregates. The comparison to the previous imaging indexes (NDVI, NDGR, NDBR) were presented that used for urban road materials identification.
Volume: 7
Issue: 3
Page: 1171-1179
Publish at: 2017-06-01

Investigation of HAPs Propagation Channel for Wireless Access in a Tropical Region at Ka-Band

10.11591/ijece.v7i3.pp1204-1211
Felix Obite , Jafri Din , Kamaludin Mohammad Yusof , Basliza M. Noor
In the last few years, High Altitude Platforms (HAPs) have attracted considerable effort due to their ability to exploit the advantages of satellite and terrestrial-based systems. Rain attenuation is the most dominant atmospheric impairment, especially at such frequency band. This paper addresses the modelling of rain attenuation and describes a propagation channel model for HAPs at Ka-band to provide efficient and robust wireless access for tropical regions. The attenuation due to rain is modeled based on three years measured data for Johor Bahru to estimate the actual effect of rain on signals at Ka band. The radio propagation channel is usually characterized as a random multipath channel. Specifically, a statistical derivation of probability distribution function for Rayleigh and Rician fading channels are presented. The model consists of multiple path scattering effects, time dispersion, and Doppler shifts acting on the HAPs communication link. Simulation results represent the fading signal level variations. Results show perfect agreement between simulation and theoretical, thereby conforming to the multipath structures. The information obtained will be useful to system engineers for HAPs link budget analysis in order to obtain the required fade margin for optimal system performance in tropical regions.
Volume: 7
Issue: 3
Page: 1204-1211
Publish at: 2017-06-01

Retinal Blood Vessel Segmentation Using Ensemble of Single Oriented Mask Filters

10.11591/ijece.v7i3.pp1414-1422
Fauziah Kasmin , Azizi Abdullah , Anton Satria Prabuwono
This paper describes a method on segmentation of blood vessel in retinal images using supervised approach. Blood vessel segmentation in retinal images can be used for analyses in diabetic retinopathy automated screening. It is a very exhausting job and took a very long time to segment retinal blood vessels manually. Moreover these tasks also requires training and skills. The strategy involves the applications of Support Vector Machine to classify each pixel whether it belongs to a vessel or not. Single mask filters which consist of intensity values of normalized green channel have been generated according to the direction of angles. These single oriented mask filters contain the vectors of the neighbourhood of each pixel. Five images randomly selected from DRIVE database are used to train the classifier. Every single oriented mask filters are ranked according to the average accuracy of training images and their weights are assigned based on this rank.  Ensemble approaches that are Addition With Weight and Product With Weight have been used to combine all these single mask filters. In order to test the proposed approach, two standard databases, DRIVE and STARE have been used. The results of the proposed method clearly show improvement compared to other single oriented mask filters.
Volume: 7
Issue: 3
Page: 1414-1422
Publish at: 2017-06-01

Neural Network-based Model Predictive Control with CPSOGSA for SMBR Filtration

10.11591/ijece.v7i3.pp1538-1545
Zakariah Yusuf , Norhaliza Abdul Wahab , Abdallah Abusam
This paper presents the development of neural network based model predictive control (NNMPC) for controlling submerged membrane bioreactor (SMBR) filtration process.The main contribution of this paper is the integration of newly developed soft computing optimization technique name as cooperative hybrid particle swarm optimization and gravitational search algorithm (CPSOGSA) with the model predictive control. The CPSOGSA algorithm is used as a real time optimization (RTO) in updating the NNMPC cost function. The developed controller is utilized to control SMBR filtrations permeate flux in preventing flux decline from membrane fouling. The proposed NNMPC is comparedwith proportional integral derivative (PID) controller in term of the percentage overshoot, settling time and integral absolute error (IAE) criteria. The simulation result shows NNMPC perform better control compared with PID controller in term measured control performance of permeate flux.
Volume: 7
Issue: 3
Page: 1538-1545
Publish at: 2017-06-01

Performance Evaluation and Comparison of Two Cascaded Configurations of PV Generators-Five Levels Inverter for a Stand-Alone Application in South Algeria

10.11591/ijpeds.v8.i2.pp907-916
Karima Benamrane , Tarak Benslimane , Othmane Abdelkhalek , Thameur Abdelkrim , Abdelhalim Borni
In this paper two configurations of solar photovoltaic energy conversion using the NPC five levels inverter for stand-alone application in south Algeria are proposed and their performances compared. The first cascade uses four separate PV sources and the second configuration use only one PV generator. In these two cases and without DC/DC converter introduced between PV source and inverter and to get a stable AC voltage, authors in propose a proportional regulator of inverter modulation index. The SVPWM technique is used in order to get the best voltage waveform. For the second configuration proposed, we introduce in the control loops another algorithm which uses the redundant vectors of space vector diagram of inverter to stabilise the DC bus voltages. A real data of temperature and solar irradiation obtained by radiometric station in Ghardaïa city in south Algeria are used to test the performance of proposed controls. The simulation results show that the inverter output voltage is stable for the two configurations proposed despite the variation of solar irradiation, temperature and load. Also, the THD obtained is in the limits of international standards. Then, the PV cascade with separate PV sources is the best solution, seeing that we do not need to use another algorithm in the control loops.
Volume: 8
Issue: 2
Page: 907-916
Publish at: 2017-06-01

Hybrid Cryptography for Random-key Generation based on ECC Algorithm

10.11591/ijece.v7i3.pp1293-1298
P. Gayathri , Syed Umar , G. Sridevi , N. Bashwanth , Royyuru Srikanth
As more increase in usage of communications and developing them more user friendly. While developing those communications, we need to take care of security and safety of user’s data. Many researchers have developed many complex algorithms to maintain security in user’s application. Among those one of the best algorithms are cryptography based, in which user will be safe side mostly from the attackers.  We already had some AES algorithm which uses very complex cryptographic algorithm to increase the performance and more usage of lookup tables. So the cache timing attackers will correlates the details to encrypt the data under known key with the unknown key. So, for this we provide an improvised solution. This paper deals with an extension of public-key encryption and decryption support including a private key. The private key is generated with the combination of AES and ECC. In general AES, key length is 128 bits with 10 times of iterations. But with this, users won’t get efficient security for their operations, so to increase the security level we are implementing 196-bit based encryption with 12 times round-key generation iterations. By this enhancement, we can assure to users to high level security and can keep users data in confidential way.
Volume: 7
Issue: 3
Page: 1293-1298
Publish at: 2017-06-01

Frequency Dependence of Electroluminescence Measurement in LDPE

10.11591/ijece.v7i3.pp1406-1413
Nurul Aini Bani , Zulkurnain Abdul-Malek , Siti Armiza Mohd Aris , Siti Zura A. Jalil , Mohd Nabil Muhtazaruddin , Hazilah Mad Kaidi , Sharipah Alwiah Syed Abd Rahman , Firdaus Muhammad-Sukki , Abdullahi Abubakar Mas’ud , Siti Hawa Abu-Bakar , Jorge Alfredo Ardilla Rey
A good insulator for high voltage cable has low dielectric loss, reasonable flexibility and thermo-mechanically stable. However, prolonged application of electrical stresses on the cable will degraded the cable; physically and morphologically. Electrical degradation in high voltage cable can be detected using electroluminescence (EL) method. Electroluminescence is a phenomenon that occurs when the atoms of a material are being excited due to the application of and external high electrical stresses. There are several external factors that affect the behaviour of electroluminescence emission such as, applied voltage, applied frequency, ageing of material and types of materials. . In this paper, the EL measurement is employed to determine the effect of applied frequency on virgin LDPE at fixed and varying applied voltage. It can be observed that EL emission increases as applied frequency increases with increasing voltage applied. However, interesting EL behaviour is observed when varying frequency is applied from 10 Hz to 100 Hz.
Volume: 7
Issue: 3
Page: 1406-1413
Publish at: 2017-06-01
1 2 3
...
1895 1896
Show 1448 of 1896

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