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

An efficient hardware logarithm generator with modified quasi-symmetrical approach for digital signal processing

10.11591/ijece.v10i5.pp4671-4678
Minh-Hong Nguyen
This paper presents a low-error, low-area FPGA-based hardware logarithm generator for digital signal processing systems which require high-speed, real time logarithm operations. The proposed logarithm generator employs the modified quasi-symmetrical approach for an efficient hardware implementation. The error analysis and implementation results are also presented and discussed. The achieved results show that the proposed approach can reduce the approximation error and hardware area compared with traditional methods.
Volume: 10
Issue: 5
Page: 4671-4678
Publish at: 2020-10-01

Optimal tuning of proportional integral controller for fixed-speed wind turbine using grey wolf optimizer

10.11591/ijece.v10i5.pp5251-5261
Aliyu Hamza Sule , Ahmad Safawi Mokhtar , Jasrul Jamani Bin Jamian , Attaullah Khidrani , Raja Masood Larik
The need for tuning the PI controller is to improve its performance metrics such as rise time, settling time and overshoot. This paper proposed the Grey Wolf Optimizer (GWO) tuning method of a Proportional Integral (PI) controller for fixed speed Wind Turbine. The objective is to overcome the limitations in using the PSO and GA tuning methods for tuning the PI controller, such as quick convergence occurring too soon into a local optimum, and the controller step input response. The GWO, the Particle Swarm Optimization (PSO), and the Genetic Algorithm (GA) tuning methods were implemented in the Matlab 2016b to search the optimal gains of the Proportional and Integral controller through minimization of the objective function. A comparison was made between the results obtained from the GWO tuning method against PSO and GA tuning techniques. The GWO computed the smallest value of the objective function minimized. It exhibited faster convergence and better time response specification compared to other methods. These and more performance indicators show the superiority of the GWO tuning method.
Volume: 10
Issue: 5
Page: 5251-5261
Publish at: 2020-10-01

Controlling of jerk chaotic system via linear feedback control strategies

10.11591/ijeecs.v20.i1.pp370-378
Karam Adel Abed
In this paper, the strategies of linear feedback control for jerk system is considered. These strategies consist  of four strategies (ordinary feedback control, dislocated feedback control,  speed feedback control, and  enhancing feedback control). We propose to  combine between these   strategies and obtained a better result  from this combine. Numerical solution achieved the same results.
Volume: 20
Issue: 1
Page: 370-378
Publish at: 2020-10-01

Performance analysis of 802.11ac with frame aggregation using NS3

10.11591/ijece.v10i5.pp5368-5376
N. Khalil , A. Najid
802.11ac is an interesting standard of IEEE bringing multiple advantages than its predecessor 802.11n. 802.11ac is faster and more scalable version of 802.11n offering the capabilities of wireless Gigabit Ethernet. 802.11ac will enable access points (AP) to support more STAs with a better experience for clients and more channel bonding increasing from a maximum of 40 MHz with 802.11n up to 80 or 160 MHz with 802.11ac standard. In this paper, we analyze and evaluate the 802.11ac performance using NS3 simulator (v3.26) relying on several features like channel bonding, modulation and coding schemes, guard interval and frame aggregation. Then, we present the effect of the variation of distance between STAs and AP on the network performance in term of throughput. Finally, we capture the most relevant simulations outcomes and we indicate some research challenges for the future work.
Volume: 10
Issue: 5
Page: 5368-5376
Publish at: 2020-10-01

An overview of traffic congestion detection and classification techniques in VANET

10.11591/ijeecs.v20.i1.pp437-444
Nurshahrily Idura Ramli , Mohd Izani Mohamed Rawi
Vehicular traffic congestion has been and still is a major problem for many countries and knowledge about the traffic condition is important in order to schedule, plan and avoid traffic congestion. With recent development in technology, various efforts and methods are proposed in mitigating traffic congestion. Vehicular Ad-hoc NETwork (VANET) is very much in the hype in addressing this issue due to its capabilities and adaptation to scalability, highly dynamic topology as well as cooperative communication. A popular focus is in detecting and classisying traffic congestion which presents various techniques and methodologies. This paper presents an overview of traffic congestion detection and classification methods of various related techniques in VANET, organized from the research perspective. Qualitative analysis is presented to classify these strategies in its system architecture, detection and classification methods, as well as its simulated mobility environment and simulation tools used. The analysis is useful in understanding all the techniques and methods applied in resolving this issue in the research domain. 
Volume: 20
Issue: 1
Page: 437-444
Publish at: 2020-10-01

The Effects of ZnO particles on the color homogeneity of phosphor-converted high-power white LED light sources

10.11591/ijece.v10i5.pp5155-5161
Nguyen Thi Phuong Loan , Nguyen Doan Quoc Anh
Color homogeneity is one of the goals to continuously improve WLED. Among the methods for enhancing the color uniformity of WLEDs, improving scattering in phosphor layer is considered to be the most effective. In this paper, ZnO is used for that purpose. The results show that ZnO particle size significantly affects scattering in the phosphor layer, which is a vital factor to analyze scattering, scattering sand surface, scattering coefficient and scattered phase function C_sca (D,λ), μ_sca (λ) and ρ(θ,λ). In addition, the concentration of ZnO was also analyzed with values from 2% to 22%. Color homogeneity depends not only on size but also on the concentration of added ZnO. Therefore, color homogeneity control is the control of ZnO size and concentration. The proposed result is 10% ZnO for the highest lumen of LED. With 14% and 500 nm of ZnO particles, ΔCCT reaches the lowest. Depending on the production needs, manufacturers can choose the most appropriate way. However, with both required lumen and ΔCCT, 14% ZnO is suitable for ZnO sizes.
Volume: 10
Issue: 5
Page: 5155-5161
Publish at: 2020-10-01

Simulation and optimization of tuneable microstrip patch antenna for fifth-generation applications based on graphene

10.11591/ijece.v10i5.pp5546-5558
Hamzah M. Marhoon , Nidal Qasem
Microstrip patch antennas (MPAs) are known largely for their versatility in terms of feasible geometries, making them applicable in many distinct circumstances. In this paper, a graphene-based tuneable single/array rectangular microstrip patch antenna (MPA) utilizing an inset feed technique designed to function in multiple frequency bands are used in a fifth-generation (5G) wireless communications system. The tuneable antenna is used to eliminate the difficulties caused by the narrow bandwidths typically associated with MPAs. The graphene material has a reconfigurable surface conductivity that can be adjusted to function at the required value, thus allowing the required resonance frequency to be selected. The simulated tuneable antenna comprises a copper radiating patch with four graphene strips used for tuning purposes and is designed to cover a wide frequency band. The proposed antenna can be tuned directly by applying a direct current (DC) voltage to the graphene strips, resulting in a variation in the surface impedance of the graphene strips and leading to shifts in the resonance frequency.
Volume: 10
Issue: 5
Page: 5546-5558
Publish at: 2020-10-01

Energy efficient clustering and routing optimization model for maximizing lifetime of wireless sensor network

10.11591/ijece.v10i5.pp4798-4808
Savitha S. , S. C. Lingareddy , Sanjay Chitnis
Recently, the wide adoption of WSNs (Wireless-Sensor-Networks) is been seen for provision non-real time and real-time application services such as intelligent transportation and health care monitoring, intelligent transportation etc. Provisioning these services requires energy-efficient WSN. The clustering technique is an efficient mechanism that plays a main role in reducing the energy consumption of WSN. However, the existing model is designed considering reducing energy- consumption of the sensor-device for the homogenous network. However, it incurs energy-overhead (EO) between cluster-head (CH). Further, maximizing coverage time is not considered by the existing clustering approach considering heterogeneous networks affecting lifetime performance. In order to overcome these research challenges, this work presents an energy efficient clustering and routing optimization (EECRO) model adopting cross-layer design for heterogeneous networks. The EECRO uses channel gain information from the physical layer and TDMA based communication is adopted for communication among both intra-cluster and inter-cluster communication. Further, clustering and routing optimization are presented to bring a good trade-off among minimizing the energy of CH, enhancing coverage time and maximizing the lifetime of sensor-network (SN). The experiments are conducted to estimate the performance of EECRO over the existing model. The significant-performance is attained by EECRO over the existing model in terms of minimizing routing and communication overhead and maximizing the lifetime of WSNs.
Volume: 10
Issue: 5
Page: 4798-4808
Publish at: 2020-10-01

Object tracking using motion flow projection for pan-tilt configuration

10.11591/ijece.v10i5.pp4687-4694
Luma Issa Abdul-Kreem , Hussam K. Abdul-Ameer
We propose a new object tracking model for two degrees of freedom mechanism. Our model uses a reverse projection from a camera plane to a world plane. Here, the model takes advantage of optic flow technique by re-projecting the flow vectors from the image space into world space. A pan-tilt (PT) mounting system is used to verify the performance of our model and maintain the tracked object within a region of interest (ROI). This system contains two servo motors to enable a webcam rotating along PT axes. The PT rotation angles are estimated based on a rigid transformation of the the optic flow vectors in which an idealized translation matrix followed by two rotational matrices around PT axes are used. Our model was tested and evaluated using different objects with different motions. The results reveal that our model can keep the target object within a certain region in the camera view.
Volume: 10
Issue: 5
Page: 4687-4694
Publish at: 2020-10-01

Design and investigations of MPPT strategies for a wind energy conversion system based on doubly fed induction generator

10.11591/ijece.v10i5.pp4770-4781
Bouchaib Rached , Mustapha Elharoussi , Elhassane Abdelmounim
The purpose of this work is to design and to discuss various strategies to optimize the production of a wind energy conversion chain based on the doubly fed induction generator (DFIG), by capturing the maximum power at the wind turbine, using maximum power point tracking (MPPT) and pitch control. The proposed controls allow the generator to monitor the optimal operating points of the turbines regardless of wind speed variations, system parameters disturbance, and parameters variation. Simulation of WECS based on a 1.5 MW wound rotor induction generator under MATLAB/SIMULINK is carried out using the PI controller (PIC), RST controller and fuzzy logic controller (FLC). Analysis and comparisons are made for different operating scenarios: Reference tracking, robustness under variable wind speed conditions and parameters variation. The application of FLC provides a very interesting outcome for the robustness and the dynamic challenges.
Volume: 10
Issue: 5
Page: 4770-4781
Publish at: 2020-10-01

Creation of speech corpus for emotion analysis in Gujarati language and its evaluation by various speech parameters

10.11591/ijece.v10i5.pp4752-4758
Vishal P. Tank , S. K. Hadia
In the last couple of years emotion recognition has proven its significance in the area of artificial intelligence and man machine communication. Emotion recognition can be done using speech and image (facial expression), this paper deals with SER (speech emotion recognition) only. For emotion recognition emotional speech database is essential. In this paper we have proposed emotional database which is developed in Gujarati language, one of the official’s language of India. The proposed speech corpus bifurcate six emotional states as: sadness, surprise, anger, disgust, fear, happiness. To observe effect of different emotions, analysis of proposed Gujarati speech database is carried out using efficient speech parameters like pitch, energy and MFCC using MATLAB Software.
Volume: 10
Issue: 5
Page: 4752-4758
Publish at: 2020-10-01

New multi-step three-term conjugate gradient algorithms with inexact line searches

10.11591/ijeecs.v19.i3.pp1564-1573
Abbas Younis Al-Bayati , Muna M. M. Ali
This work suggests several multi-step three-term conjugate gradient (CG)-algorithms that satisfies their sufficient descent property and conjugacy conditions. First, we have  considered a number of well-known three-term CG-method, and we have, therefore, suggested two new classes of this type of algorithms which was based on hestenes and stiefel (HS) and polak-ribière (PR) formulas with four different versions. Both descent and conjugacy conditions for all the proposed algorithms are satisfied, at each iteration by using the strong Wolfe line search condition and it's accelerated version. These new suggested algorithms are some sort of modifications to the original  HS and PR  methods. These CG-algorithms are considered as a sort of the  memoryless BFGS update.  All of our new suggested methods are proved to be a  global convergent and numerically, more efficient than the similar methods in same area based on our selected set of used numerical problems.
Volume: 19
Issue: 3
Page: 1564-1573
Publish at: 2020-09-01

A maximum power point tracking based on levy flight optimization

10.11591/ijpeds.v11.i3.pp1499-1507
C. Charin , Dahaman Ishak , Muhammad Ammirrul Atiqi Mohd Zainuri
This paper proposes a Levy flight global maximum power point tracking for solar photovoltaic (PV) system under partial shading conditions. The proposed method comes with merits such as simplicity, fast response and free of oscillation. This algorithm uses random search over the exploration space and compares the previous and current states to obtain the best solution. For evaluation and comparative analysis, performance of the proposed method is also measured against Perturb and Observe (P&O) and Particle Swarm Optimization (PSO). All three algorithms are simulated in MATLAB/Simulink environment. Simulation results are satisfactory over the conducted tests under uniform and non-uniform irradiance. The proposed algorithm is able to track global maximum power point (GMPP) under partial shading conditions with fast tracking time and zero ripple at steady-state.
Volume: 11
Issue: 3
Page: 1499-1507
Publish at: 2020-09-01

Voltage regulation of an asynchronous wind turbine using STATCOM and a control strategy based on a combination of single input fuzzy logic regulator and sliding mode controllers

10.11591/ijpeds.v11.i3.pp1557-1569
Mohammed Mokhtari , Smail Zouggar , Nacer K. M’Sirdi , Mohamed Larbi Elhafyani
In the literature, it is well known that reactive power management is the greatest challenge in wind turbine based on a three-phase self-excited induction generator. Any variation of wind speed or load causes a variation on the needed reactive power and thus a voltage fluctuation. Flexible AC transmission device such as STATCOM become then a necessity to prevent voltage instability and hence voltage collapse at the point of common coupling. This paper proposes so a new control strategy for voltage regulation of an asynchronous wind turbine based on a combination of a single input fuzzy logic regulator and a sliding mode controller. Compared to the classical control strategy with PI regulators, the performance of the proposed compensator has been significantly improved when it is controlled by the new approach and the system have shown more robustness and stability regarding external disturbances. The present document traits so the modelling of the power system, the simulation results and the controller’s scheme and design.
Volume: 11
Issue: 3
Page: 1557-1569
Publish at: 2020-09-01

Using sigma-delta quantizer Based PI for inductive power transfer systems

10.11591/ijpeds.v11.i3.pp1449-1458
Dhafer J. Almakhles , Akshya Swain , Hou Yuefeng
In this paper, a Sigma-Delta Quantizer (∑∆-Q) based Proportional and Integral control is proposed for a wireless power transfer control system, namely inductive power transfer system. The proposed control topology employs ∑∆-Qs to convert the conventional signals (analog/digital signals) into bitsreatm signals (1-bit per sample time). Considering the oversampling feature of ∑∆-Q, field programmable gate array is utilized in the implementation of the control system. To evaluate the effectiveness of the presented control topology, it is compared with an inductive power transfer control system using the conventional proportional and integral controller. For the sake of simplicity, the comparison is carried out using hardware in Loop. Both control systems exhibit almost identical responses. However, the bitstream feature of the proposed PI controller significantly helps in reducing the hardware resources (logic elements) in field programmable gate array. In addition, less wire routing and computational complexity is achieved due to absence of multipliers.
Volume: 11
Issue: 3
Page: 1449-1458
Publish at: 2020-09-01
1 2 3
...
2097 2098
Show 1182 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