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

29,758 Article Results

Adapted Branch-and-Bound Algorithm Using SVM With Model Selection

10.11591/ijece.v9i4.pp2481-2490
Mohamed Mustapha Kabbaj , El Afia Abdellatif
Branch-and-Bound algorithm is the basis for the majority of solving methods in mixed integer linear programming. It has been proving its efficiency in different fields. In fact, it creates little by little a tree of nodes by adopting two strategies. These strategies are variable selection strategy and node selection strategy. In our previous work, we experienced a methodology of learning branch-and-bound strategies using regression-based support vector machine twice. That methodology allowed firstly to exploit information from previous executions of Branch-and-Bound algorithm on other instances. Secondly, it created information channel between node selection strategy and variable branching strategy. And thirdly, it gave good results in term of running time comparing to standard Branch-and-Bound algorithm. In this work, we will focus on increasing SVM performance by using cross validation coupled with model selection. 
Volume: 9
Issue: 4
Page: 2481-2490
Publish at: 2019-08-01

Design analysis and performance evaluation of the WDM integration with CO-OFDM system for radio over fiber System

10.11591/ijeecs.v15.i2.pp870-878
Adnan Hussein Ali , Hayder Jasim Alhamdane , Begared Salih Hassen
The optical communication and wireless networks can be integrated to increase the capacity and mobility with decrease the costs in the access networks. Optical communication is considered a Fiber optic communication that can be used for wired and wireless communication. The problems of Fiber optic communication have a solution represented by Radio over fiber (RoF) which can control many base stations (BSs) that connect to a central station (CS) with an optical fiber. The Coherent optical OFDM (CO-OFDM) have concerned a great interest due to the high spectral efficiency and strength to the fiber dispersion, also it can be considered as a promising candidate when used in long haul optical fiber transmission systems. The integration of the wavelength division multiplexing system (WDM) with (CO-OFDM) system for increasing the system performance as well as achieving high data rates. The simulation of WDM-ROF and  (WDM-CO-OFDM) with an optisystem simulator to analyze the RF spectrum, spectrum signal visualizers, and constellation diagrams. The proposed of integration of WDM and RoF-OFDM system is to achieve 100 km fiber length using 4QAM sequence bit, and the received power with electrical and optical amplifications by using 10 Gbps data signal.
Volume: 15
Issue: 2
Page: 870-878
Publish at: 2019-08-01

Resource allocation in cloud computing using advanced imperialist competitive algorithm

10.11591/ijece.v9i4.pp3286-3297
Seyyed-Mohammad Javadi-Moghaddam , Sara Alipour
Cloud computing makes possible free access to computing resources and high-level services for performing complex calculations and mass storage of information on the Internet. Resource management is one of the most important tasks of cloud providers, which is known as resource allocation. Heterogeneous resources and diverse requests at different time intervals makes it difficult to solve resources allocation problems and is considered as a NP-hard problem. Providing an efficient algorithm for resources allocation to satisfy the cloud providers and customers has always attracted much attention of researchers. Heuristic methods have always introduced as a good model for problem solving. However, most algorithms suffer from early convergence. This paper proposes a new approach based on imperialist competitive algorithm (ICA) which emphasizes the optimization of resource allocation in reducing time, cost and energy consumption. The proposed approach has been able to improve the early convergence of colonial competition algorithm by combining with the Tabu Search Algorithm to achieve an optimal solution at an acceptable time. The evaluated results show more efficiency performance than several relevant effective algorithms.
Volume: 9
Issue: 4
Page: 3286-3297
Publish at: 2019-08-01

Optimization of efficiency for power system using three phase AC to AC matrix converter with the algorithm of fuzzy controller

10.11591/ijape.v8.i2.pp129-133
Hassan Farahan Rashag
This paper suggested a new contribution of three phase AC to AC matrix converter MC via fuzzy logic controller FLC to enhance the whole system. However, the weakness of matrix converter is that the input- output voltage transfer is control to 87% for input and output waveform. Also, matrix converter is more sensitive to the trouble of input voltage which deteriorates the system performance. To overcome these problems, and to improve the efficiency of system, FLC with matrix converter is proposed to minimize the sensitivity to the load, and to increase voltage transfer. In this paper the currents a,b,c are converted to alpha and beta current via Clarke transformation . In this method two FLC are used. The error (between alpha current and reference current) (e) and the change of this error (de) will apply to first FLC. The output of FLC is actual alpha current. In the other hand, the error of beta current and the change of error are also passes through the second FLC to produce the actual beta current. The actual alpha and beta current is converted to direct and quadrature d-q current by park transformation. The d-q current is converted to (a, b, c) out currents by inverse park transformation, the results of this method express that the matrix converter with FLC is more capable, high accuracy with better efficiency as compared with conventional matrix converter system.
Volume: 8
Issue: 2
Page: 129-133
Publish at: 2019-08-01

Enhancement of power system performance with wind farm disturbances

10.11591/ijape.v8.i2.pp159-172
Mahmoud M. El-Sharkawy , Mahmoud A. Attia , Almoataz Y. Abdelaziz
This paper discussed how wind farm disturbance, especially wind speed variability, can affect the performance of the power system. Also, it discussed how blades angels of wind turbine can be controlled to increase the energy efficacy of the power system. It showed that the optimized pitch angel controller using harmony search algorithm could enhance blades angels’ adjustments performance. First part, the paper explained the advantages of doubly fed induction generator in wind turbine system. Paper also enumerated the most probable ways to tame the wind speed variability challenge focusing on the pitch angle controller technique. After that, paper compared the system parameter`s result before optimization with values after optimized pitch angle controller gain (Kp). This comparison would be held in three cases, case of variable wind speed with normal operation condition, constant wind speed with line to ground fault condition and variable wind speed with line to ground fault condition. Finally, It demonstrated the MATLAB/SIMULINK model used illustrating results appeared and conclusion.
Volume: 8
Issue: 2
Page: 159-172
Publish at: 2019-08-01

Performance and FMECA of a wind turbine based on SCADA and lidar data

10.11591/ijape.v8.i2.pp101-109
A. Bennouk , A. Nejmi , M. Ramzi
This paper presents an approach to identify risks for different failures that could affect wind turbine performance, and reduce the measured annual electrical production (MAEP). The proposed approach is based on FMECA (failure mode, effects and criticality analysis) and wind turbine performance study. We present firstly the methodology of performance calculation based on IEC 61400 standard, then we identify the energy gap between the MAEP and WAEP for the case study, we present an extended and reviewed FMECA, by introducing definition of factors related to environment, health and security. As a result we present an actions plan for similar failures deduced from wind performance study and risk-based FMECA, in order to reduce failure risks and optimize production by consequence. The case study is a 2.3 MW onshore wind turbine, different data that are used in this paper were collected from SCADA and lidar.
Volume: 8
Issue: 2
Page: 101-109
Publish at: 2019-08-01

Sizing inductors of an axial flux synchronous generator

10.11591/ijape.v8.i2.pp110-119
D. Lahouel , D. Hedjazi , R. Abdessemed
This given the outcome of environmental situations in recent years, it has become necessary to use other resolutions for the energy production we need, and among these wind power sources. Since the advent of windmills to the first wind turbines, the technology of aero-motors (or wind sensors) has evolved rapidly. This article presents a study of an axial flow generator, and this mechanism is based on the energy of the wind turbine, this structure solves the problem of the distribution of the magnetic field lines in the armature coils and the inductor of the generator, observing the influence on the voltage from the linear velocity, the density of the injected current and the position along its axis; and that by the method of Finite Elements and is used the computer aided design (CAD), and more particularly the software comsol multiphysics to obtain the results that the good operation of the generator.
Volume: 8
Issue: 2
Page: 110-119
Publish at: 2019-08-01

Characteristic evaluation of 20-Bit consecutive codes in high performance optical burst mode receiver configuration

10.11591/ijeecs.v15.i2.pp831-837
Adibah Mazwar , Azura Hamzah , Sevia Mahdaliza Idrus , Atsushi Kanno , Norliza Mohamed
Optical burst mode receivers are indispensable components for Passive Optical Network (PON) and Ethernet Optical Access Network (E-OSAN). An optical burst mode receiver with transfer function Gn(jω/ω0) = 1 - Hn(jω/ω0) is proposed, of which better performance is anticipated than that of conventional AC-coupling. Next, an optical burst mode receiver with fast response Gn(jω/ωF) and slow response Gn(jω/ωS), whereby Gn(jω/ωF) switches to Gn(jω/ωS) right after the DC component of the input burst signal converges to 0 is proposed. Then, an automatically switching circuit that switches fast response Gn(jω/ωF) to slow response Gn(jω/ωS) circuits right after the maximum peak value of the output burst Gn(jω/ωF) is 1/2 and the DC components of the input burst converges to 0 is also proposed. This paper presents the experiments on same consecutive codes in burst mode receivers using the proposed automatically switching circuit, with evaluation on its characteristics made through simulation.
Volume: 15
Issue: 2
Page: 831-837
Publish at: 2019-08-01

Efficient datamining model for prediction of chronic kidney disease using wrapper methods

10.11591/ijict.v8i2.pp63-70
Ramaswamyreddy A , Shiva Prasad S , K V Rangarao , A Saranya
In the present generation, majority of the people are highly affected by kidney diseases. Among them, chronic kidney is the most common life threatening disease which can be prevented by early detection. Histological grade in chronic kidney disease provides clinically important prognostic information. Therefore, machine learning techniques are applied on the information collected from previously diagnosed patients in order to discover the knowledge and patterns for making precise predictions. A large number of features exist in the raw data in which some may cause low information and error; hence feature selection techniques can be used to retrieve useful subset of features and to improve the computation performance. In this manuscript we use a set of Filter, Wrapper methods followed by Bagging and Boosting models with parameter tuning technique to classify chronic kidney disease. The capability of Bagging and Boosting classifiers are compared and the best ensemble classifier which attains high stability with better promising results is identified.
Volume: 8
Issue: 2
Page: 63-70
Publish at: 2019-08-01

Reactive power control to enhance the VSC-HVDC system performance under faulty and normal conditions

10.11591/ijape.v8.i2.pp145-158
Mohamed S. Ghayad , Niveen M. Badra , Almoataz Y. Abdelaziz , Mahmoud A. Attia
This paper studied the reactive power control of the voltage source converters based high-voltage direct current system (VSC-HVDC). PI (proportional & integration) controller was used in this work to enhance the dynamic response of the system. Gravitational search algorithm (GSA) and sine cosine algorithm (SCA) are used to get optimal parameters of the PI controller. GSA algorithm is based on the gravity law for Newton while SCA depends on mathematical model based on cosine and sine functions. These algorithms have an efficient global Search capability. The VSC-HVDC is exposed to different disturbances for checking the controller robustness. First disturbance was applying three phase faults on the system. While the second one was applying a step change in AC voltage. Finally, Applying step change in regulators reference values. Simulation results proved the controller superiority also verified the enhancement of the system dynamic response.
Volume: 8
Issue: 2
Page: 145-158
Publish at: 2019-08-01

Faults detection and diagnoses of permanent magnet synchronous motor based on neuro-fuzzy network

10.11591/ijape.v8.i2.pp173-185
Hashmia Sh. Dakheel , Zainab B. Abdulla , Helen Jassim Jawad
Faults in electrical machine are very important in order to improve the machine expensive maintenance, efficiency, life time, and reliability at real time, therefore this study deals with Simulink model response for healthy and neuro-fuzzy network (ANFIS), this intelligent technique consist of two parts, the first part include electrical and demagnetization faults while another part deals with mechanical faults. Simulation results obtain record activation, high performance, and efficiency of this network.
Volume: 8
Issue: 2
Page: 173-185
Publish at: 2019-08-01

Indirect vector control for induction motor drive using two level and five level inverter

10.11591/ijape.v8.i2.pp134-144
Ankit Agrawal , Rakesh Singh Lodhi , Pragya Nema
This paper represent modelling & simulation of indirect vector control for induction motor drive using two level and five level inverter. To overcome of lower order harmonics, THD & speed torque characteristics of three phase squirrel cage induction motor. This paper provides solution through indirect vector control & SPWM technique for multilevel inverter. A comparison and performance of two level and five level inverter are used in motor to control speed, current and torque. Matlab simulation environment are taken to simulate indirect vector control for induction motor drive using two level and five level inverter, so torque ripple minimization, lower order harmonics are reduced, constant speed, constant torque and variable speed variable torque are determined through simulation results. The applications under operating conditions are performed better THD, better reliability in AC drives.
Volume: 8
Issue: 2
Page: 134-144
Publish at: 2019-08-01

Optimal incorporation of multiple distributed generation units based on a new system maximum loadability computation approach and vortex searching algorithm

10.11591/ijape.v8.i2.pp186-208
Y. Latreche , H. R. E. H. Bouchekara , M. S. Javaid , M. M. Aman , H. Mokhlis , F. Kerrour
In this paper, the optimal incorporation of distributed generation (OIDG) units for the maximization of the system‟s loadability is investigated (based on sizing and siting). To this end a new computational approach for computing maximum loadability of the system is developed. This approach has been compared with the classical one on different radial test systems (RTS) and is found to be faster and more accurate. The OIDG problem is formulated mathematically as an optimization problem with the objective function to maximize system‟s loadability, the imposed constraints are; voltage limits, thermal limits and DG penetration level. The optimization algorithm used is to solve the OIDG problem is the Vortex searching algorithm (VS). The tested radial distribution systems are the standard 33-bus and 69-bus systems. This paper also discusses some other interesting findings about VS algorithm.
Volume: 8
Issue: 2
Page: 186-208
Publish at: 2019-08-01

Modeling and predictive control of InGap/GaAs/Ge triple-junction solar cells to increase the energy conversion efficiency

10.11591/ijape.v8.i2.pp120-128
Reza Barati-Boldaji , Sepide Mojalal , Mohammad Reza Seifi
Physical studies of the last decade indicate that multi-junction solar cell has higher energy conversion efficiency than single-junction cells. However, choosing the type of material, modeling and finding the parameters of this type of cell has always been one of the leading challenges in this topic. Most of the proposed models are assumed to have predetermined electrical parameters of the cell or regardless of the effect of the tunnel junction, which reduces of the system. This paper discusses the modeling of solar cell triplejunction InGap/GaAs /Ge, taking into account the effect of a tunnel junction and finds the parameters of each subcellular deal. Also, predictive control will be used to control the active and reactive power of the single-phase inverter. The use of this method eliminates the need for the modulation module and the phase-lock loop (PLL). And simplifies the control algorithm for its digital implementation. The proposed cost function of this paper will be such that in addition to controlling the power of the inverter, the closed loop stability will be guaranteed based on the Lyapunov theory. Finally, the performance of the system using the software MATLAB/SIMULINK simulation will be evaluated.
Volume: 8
Issue: 2
Page: 120-128
Publish at: 2019-08-01

Machine vision based smart parking system using Internet of Things

10.12928/telkomnika.v17i4.12772
Daniel Ng Chiu; Universiti Teknologi Malaysia Loong , Suhaila; Universiti Teknologi Malaysia Isaak , Yusmeeraz; Universiti Teknologi Malaysia Yusof
It is expected that in the next decade, majority of world population will be living in cities. Better public services and infrastructures in the city are needed to cope with the booming population. City vehicles that cruising for parking have indirectly causing traffic, making one harder to travel around the city. Thus, a smart parking system can certainly lays the foundation to build a smart city. This paper proposed a cost-effective IoT smart parking system to monitor city parking space and provide real-time parking information to drivers. Moreover, instead of the conventional approach that uses embedded sensors to detect vehicles in the parking area, camera image and machine vision technology are used to obtain the parking status. In the prototype, twenty outdoor parking lots are covered using a 5 megapixel camera connected to Raspberry Pi 3 installed at the 5th floor of the nearby building. Machine vision in this project that involved motion tracking and Canny edge detection are programmed in Python 2 using OpenCV technology. Corresponding data is uploaded to an IoT platform called Ubidots for possible monitoring activity. An Android mobile application is designed for user to download real-time data of parking information. This paper introduces a low cost smart parking system with the overall detection accuracy of 96.40%. Also, the mobile application allows users to alert other car owners for any emergency incidents and double parking blockage. The developed system can provide a platform for users to search for empty car parking with ease and reduce the traffic issues such as illegal double parking especially in the urban area.
Volume: 17
Issue: 4
Page: 2098-2106
Publish at: 2019-08-01
1 2 3
...
1983 1984
Show 1259 of 1984

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