Articles

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

Filter Icon

Filters article

Years

FAQ Arrow
0
0

Source Title

FAQ Arrow

Authors

FAQ Arrow

31,377 Article Results

Blind separation of complex-valued satellite-AIS data for marine surveillance: a spatial quadratic time-frequency domain approach

10.11591/ijece.v9i3.pp1732-1741
Omar Cherrak , Hicham Ghennioui , Nadege Thirion Moreau , El Hossein Abarkan
In this paper, the problem of the blind separation of complex-valued Satellite-AIS data for marine surveillance is addressed. Due to the specific properties of the sources under consideration: they are cyclo-stationary signals with two close cyclic frequencies, we opt for spatial quadratic time-frequency domain methods. The use of an additional diversity, the time delay, is aimed at making it possible to undo the mixing of signals at the multi-sensor receiver. The suggested method involves three main stages. First, the spatial generalized mean Ambiguity function of the observations across the array is constructed. Second, in the Ambiguity plane, Delay-Doppler regions of high magnitude are determined and Delay-Doppler points of peaky values are selected. Third, the mixing matrix is estimated from these Delay-Doppler regions using our proposed non-unitary joint zero-(block) diagonalization algorithms as to perform separation.
Volume: 9
Issue: 3
Page: 1732-1741
Publish at: 2019-06-01

Impact of compressed air energy storage system into diesel power plant with wind power penetration

10.11591/ijece.v9i3.pp1553-1560
Abdulla Ahmed , Tong Jiang
The wind energy plays an important role in power system because of its renewable, clean and free energy. However, the penetration of wind power (WP) into the power grid system (PGS) requires an efficient energy storage systems (ESS). compressed air energy storage (CAES) system is one of the most ESS technologies which can alleviate the intermittent nature of the renewable energy sources (RES). Nyala city power plant in Sudan has been chosen as a case study because the power supply by the existing power plant is expensive due to high costs for fuel transport and the reliability of power supply is low due to uncertain fuel provision. This paper presents a formulation of security-constrained unit commitment (SCUC) of diesel power plant (DPP) with the integration of CAES and PW. The optimization problem is modeled and coded in MATLAB which solved with solver GORUBI 8.0. The results show that the proposed model is suitable for integration of renewable energy sources (RES) into PGS with ESS and helpful in power system operation management.
Volume: 9
Issue: 3
Page: 1553-1560
Publish at: 2019-06-01

Intelligent fire detection and alert system using labVIEW

10.11591/ijece.v9i3.pp1842-1849
Fakrulradzi Idris , Norlezah Hashim , Ahmad Fauzan Kadmin , Lee Boon Yee
Fire detection systems are designed to discover fires and allow the safe evacuation of occupants as well as protecting the safety of emergency response personnel. This paper describes the design and development of a fire detection and alert system. Temperature and flame sensors are used to indicate the occurrence of fire. This work consists of two parts, which are transmitter and receiver, both using ZigBee wireless technology. Arduino Uno is used as the microcontroller at the transmitter part to control the sensor nodes and give alert when over temperature and flame are detected. At the transmitter, the collected data from the sensors are transmitted by an XBee module operated as router node. At the receiver side, an XBee coordinator module which is attached to a computer using USB to serial communication captured the data for further processing. In addition, an interactive and user-friendly Graphical User Interface (GUI) is developed. LabVIEW software is used to design the GUI which displays and analyze the possibility of fire happening. The system can display the fire location and provides early warning to allow occupants to escape the building safely.
Volume: 9
Issue: 3
Page: 1842-1849
Publish at: 2019-06-01

Sensitivity analysis of a species conserving genetic algorithm's parameters for addressing the niche radius problem

10.11591/ijai.v8.i2.pp190-196
Michael Scott Brown
Niche Genetic Algorithms (NGA) are a special category of Genetic Algorithms (GA) that solve problems with multiple optima. These algorithms preserve genetic diversity and prevent the GA from converging on a single optima. Many NGAs suffer from the Niche Radius Problem (NRP), which is the problem of correctly setting a radius parameter for optimal results. While the selection of the radius value has been widely researched, the effects of other GA parameters on genetic diversity is not well known. This research is a parameter sensitivity analysis on the other parameters in a GA, namely mutation rate, number of individuals and number of generations.
Volume: 8
Issue: 2
Page: 190-196
Publish at: 2019-06-01

Starting torque and torque ripple reduction using SVPWM based vector control of induction motor with nine-level cascaded multilevel inverter fed with solar PV power

10.11591/ijpeds.v10.i2.pp1123-1132
Shashibhushan Shashibhushan , Savita Sonoli
This paper is an attempt to develop an Induction Motor Drive System with Multilevel Inverter topology for reduced torque ripple application. A Nine level-cascaded multilevel inverter is developed for the induction motor drive with SVPWM control powered by boost converter fed using solar PV supply. The SVPWM control based implementation of vector control using a multilevel inverter topology needs a multilevel SVPWM control technique, which is implemented in this paper. The Solar power supplied is applied with the MPPT technique and the supplied DC power is fed to the three phase cascaded 9 level multilevel inverter. The vector control of induction motor is carried out using the SVPWM technique on the multilevel topology. The torque ripple reduction in the output is observed and compared with the vector control of induction motor. Matlab based implementation is carried out and the results are tabulated and inferred.
Volume: 10
Issue: 2
Page: 1123-1132
Publish at: 2019-06-01

Dynamic model of A DC-DC quasi-Z-source converter (q-ZSC)

10.11591/ijece.v9i3.pp1585-1597
Muhammad Ado , Awang Jusoh , Abdulhamid Usman Mutawakkil , Tole Sutikno
Two quasi-Z-source DC-DC converters (q-ZSCs) with buck-boost converter gain were recently proposed. The converters have advantages of continuous gain curve, higher gain magnitude and buck-boost operation at efficient duty ratio range when compared with existing q-ZSCs. Accurate dynamic models of these converters are needed for global and detailed overview by understanding their operation limits and effects of components sizes. A dynamic model of one of these converters is proposed here by first deriving the gain equation, state equations and state space model. A generalized small signal model was also derived before localizing it to this topology. The transfer functions (TF) were all derived, the poles and zeros analyzed with the boundaries for stable operations presented and discussed. Some of the findings include existence of right-hand plane (RHP) zero in the duty ratio to output capacitor voltage TF. This is common to the Z-source and quasi-Z-source topologies and implies control limitations. Parasitic resistances of the capacitors and inductors affect the nature and positions of the poles and zeros. It was also found and verified that rather than symmetric components, use of carefully selected smaller asymmetric components L1 and C1 produces less parasitic voltage drop, higher output voltage and current under the same conditions, thus better efficiency and performance at reduced cost, size and weight.
Volume: 9
Issue: 3
Page: 1585-1597
Publish at: 2019-06-01

Recommendations and solutions to remove some barriers to the deployment of smart grid in Morocco

10.11591/ijpeds.v10.i2.pp744-752
Rachid Habachi , Achraf Touil , Abdellah Boulal , Abdelkabir Charkaoui , Abdelwahed Echchatbi
In this paper, we identify the current state and prospects of smart grids in Morocco. We begin by describing the current state of the Moroccan network, then we study the obstacles to the development of smart grids in Morocco and internationally. We conclude with recommendations and solutions to remove some barriers to the deployment of intelligent electrical networks in Morocco.
Volume: 10
Issue: 2
Page: 744-752
Publish at: 2019-06-01

Evaluation of gas fuel and biofuel usage in turbine

10.11591/ijeecs.v14.i3.pp1097-1104
Dalya H. Al-Mamoori , Mohanad H. Aljanabi , Ali Assim Alobaidi , Omar Muhammed Neda , Zaid H. Al-Tameemi
Modern gas turbines are a significant source for power generation and prime mover for marine propulsion. The depleting fossil fuel sources have provided a cue for broader implementation and usage of renewable energy. Biofuel has been touted as a substitute for natural gas to power gas turbines. To confirm the dependability and reliability of this attempt in a complex multi-domain system, for example, the gas turbine, the fuel system of the micro-gas turbine is designed and modelled using MATLAB Simulink. The model; simulates the; transient and steady state of a gas turbine’s nominal functional situations. Evaluations between the field data and; simulation outcomes validate a high degree of correspondence. The fuel system in the micro;-gas turbine simulation model is also optimized with the experimental data. 
Volume: 14
Issue: 3
Page: 1097-1104
Publish at: 2019-06-01

Design of a multi-agent system using the "MaSE" method for learners' metacognitive help

10.11591/ijece.v9i3.pp2033-2040
Hanane Elbasri , Adil Haddi , Hakim Allali
This article addresses a multi-agent approach to solving the problem of integrating metacognitive incentives into Learning Management System. The behavior of the teacher in a classroom-teaching situation, where teacher adopting the competency-based approach, is characterized by a set of didactic interventions dynamically adaptable according to the actions-reactions of the learners. These interventions are continually subjected to perfection by experience. In this article, we are interested in modeling the multi-agent system in order to help the learners develop their metacognitive skills in a continuous way. The purpose of this system is to supervise the activities and statements of the learner and communicate them to the metacognitive agent. The latter focuses on the assessment of the learner's metacognitive skills in order to trigger, automatically, metacognitive incentives to provide help messages. Integrating the agent for metacognitive control and assistance, allows learners to maintain motivation and confidence, and elicit their attention to the importance of metacognitive skills during learning activity. The "MaSE" methodology and the "agentTool" are used to model the multi-agent system.
Volume: 9
Issue: 3
Page: 2033-2040
Publish at: 2019-06-01

A simple switching on-time calculation revision in multilevel inverter-space vector modulation to achieving extended voltage boundary operation

10.11591/ijpeds.v10.i2.pp653-661
Bharatiraja C. , R.K. Pongiannan , Adedayo Yusuff , Mohd Tariq , Telugu Maddileti , Tharwinkumar Tharwinkumar
In inverters’ pulse width modulation techniques (PWM) the Space Vector PWM (SVPWM) is a smart contestant due to its direct control in nature with variables which provide the straight forward finds to each inverter switching vector. The industrial drives are acquainting to use SVPWM owing extended speed –torque region operations. However, the extended SVPWM operation is uses much mathematical calculation to predict the switching on-times, which demands high digital platform.  In order to reduce this calculation in this paper a simple on-time calculation based SVPWM is proposed. The proposed SVPWM is developed for three-level multilevel inverter and the space perspective of vector analysis are established and explained. The over modulation enhances the proper power utilization capacity of voltage source inverter thereby improve the inverter output voltage and load. This proposed method tailed the similar mathematical practice as conventional two-level SVPWM for calculating sector identification and triangle determination. The approach finds the circular and hexagonal boundary on-time based on the straightforward reference vector position identification and calculates directly the switching pulse patterns for the inverter devices using an expression based on the definition of the duty cycle. The performance of the proposed SVM is simulated by MATLAB 11.b simulation software and validated with laboratory setup 2 kW, 12 switch neutral point clamped (NPC)-MLI fed 1.5 HP squirrel cage 3-phase induction motor open loop v/f control drive. The simulation and experimental results are closure and confirming the advantages of the proposed SVM method. The proposed scheme can be extended to n-level inverter and also applicable to cascaded H-bridge topology.
Volume: 10
Issue: 2
Page: 653-661
Publish at: 2019-06-01

Fault modeling and parametric fault detection in analog VLSI circuits using discretization

10.11591/ijece.v9i3.pp1598-1605
Baldev Raj , G. M. Bhat , Sandeep Thakur
In this article we describe new model for determination of fault in circuit and also we provide detailed analysis of tolerance of circuit, which is considered one of the important parameter while designing the circuit. We have done mathematical analysis to provide strong base for our model and also done simulation for the same. This article describes detailed analysis of parametric fault in analog VLSI circuit. The model is tested for different frequencies for compactness and its flexibility. The tolerance analysis is also done for this purpose. All the simulation are done in MATLAB software.
Volume: 9
Issue: 3
Page: 1598-1605
Publish at: 2019-06-01

A review on different control techniques using DSTATCOM for distribution system studies

10.11591/ijpeds.v10.i2.pp813-821
K. Swetha , V. Sivachidambaranathan
This paper focus on distribution system by applying different control techniques in order to improve the performance of the system. In the distribution system mainly concentrate on power quality issues like reactive power control, harmonic elimination, power factor correction, etc. Because of power quality problems voltage, current, frequency are continuously changing in power systems. These changes will effects the performance of power systems. Power quality problems can be compensated by placing DSTATCOM which is connected at PCC in parallel. It is shunt connected VSI along with the filters, with the help of DSTATCOM voltage sag, swell and THD can be controlled. This paper presents detailed explanation about performance and configuration of latest control techniques to control the DSTATCOM.
Volume: 10
Issue: 2
Page: 813-821
Publish at: 2019-06-01

Efficiency and effectiveness video on demand over worldwide interoperability for microwave access

10.11591/ijece.v9i3.pp1919-1923
Muthanna Jaafar Abbas , Abeer Abd Al Hameed Mahmood
(WiMAX) is another solution for readiness broadband networks inside the region, covered or not, by alternative technologies like (ADSL) or cable through this paper by deploying many mobility patterns such as static, random and path for Video on Demand (VoD) over (WiMAX) Network. The performance of varied (QPSK) and (QAM) modulation techniques, by applying the (OPNET) simulator version 17.5. This work is finished in terms of the transmitted traffic and received traffic. Simulation result indicates that once nodes are moving by (SVC) code schema in (WiMAX). The result is an effective and attainable overall performance of (QPSK) which is better than (QAM) modulation technique.
Volume: 9
Issue: 3
Page: 1919-1923
Publish at: 2019-06-01

Rain attenuation statistics over 5G millimetre wave links in Malaysia

10.11591/ijeecs.v14.i2.pp1012-1017
Mustafa Ghanim , Manhal Alhilali , Jafri Din , Hong Yin Lam
Millimetre wave band is a solid contender to be utilized for the future 5G wireless systems deployment. Rain-induced attenuation is a major disadvantage at these frequencies. This paper presents statistics of rain-induced attenuation and rainfall data for two years of horizontally polarized links propagating at 38 GHz and 26 GHz over a terrestrial path link of 301 meters. From the analysed datasets, a rain rate around 116 mm/h exceeded at 0.01% of the time of an average year, while the links recorded 16 and 9.5 dB at the same percentage of time for 38 and 26 GHz respectively. The study aims to identify the prediction model that deliver most reasonable predictions for 5G links operating in Malaysian tropical climate. ITU-R P.530-17, Mello’s, and Ghiani’s models were all examined. Using ITU-R model, relative error margins of around 3.8%, 30% and 49.7% alongside 22.3, 9.5, 33% were obtained in 0.1%, 0.01% and 0.001% of the time for 26 and 38 GHz respectively.  Curiously, ITU-R model demonstrates better predictions to measured rain attenuation with lower error probability. This study highlights the need for new prediction models for short path-length 5G links and helps to improve the design of terrestrial links operating at millimetre wave frequencies in tropical regions.
Volume: 14
Issue: 2
Page: 1012-1017
Publish at: 2019-05-01

Mango ripeness classification system using hybrid technique

10.11591/ijeecs.v14.i2.pp859-868
Muhamad Farid Mavi , Zulkifli Husin , Badlishah Ahmad , Yasmin Mohd Yacob , Rohani S. Mohamed Farook , Wei Keong Tan
Nowadays there are many systems develop for agricultural purposes and most system implemented on the use of non-destructive technique not only to classify but also to determine the fruit ripeness. However, most of the studies concentrates using single technique to assess the fruit ripeness. This paper presents the work on mango ripeness classification using hybrid technique. Hybrid stands for mix or combination between two different elements, thus this study combined two different technique that is image processing and odour sensing technique in a single system. Image processing technique are implemented using color image that is HSV image color method to determine the ripeness of fruit based on fruit peel skin through color changes upon ripening. Whereas, odour sensing technique are implemented using sensors array to determine the fruit ripeness through smell changes upon ripening. The “Harumanis” and “Sala” mango was used for sample collection based on two different harvesting condition that is unripe and ripe were evaluated using the image processing and followed by the odour sensor. Support Vector Machine (SVM) is applied as classifier for training and testing based on the data collected from both techniques. The finding shows around 94.69% correct classification using hybrid technique of image processing and odour sensing in a single system.
Volume: 14
Issue: 2
Page: 859-868
Publish at: 2019-05-01
Show 1404 of 2092

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