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29,939 Article Results

Groundwater suitability for irrigated agriculture in alluvial Bengal delta plain: a review

10.11591/ijaas.v10.i2.pp156-170
Md. Shajedul Islam , M. G. Mostafa
Groundwater is a vital source of irrigation and domestic purposes in Bangladesh, and hence, it must satisfy the water quality guidelines. The study has selected 11 districts of Bangladesh and collected secondary data regarding the irrigation water quality of groundwater. Several irrigation water indices, such as soluble sodium percentage (SSP), sodium adsorption ratio (SAR), magnesium adsorption ratio (MAR), residual sodium carbonate (RSC), Kelly’s ratio (KR), permeability index (PI), and irrigation water quality (IWQ) index are applied to evaluate irrigation water quality. According to IWQindex, the results showed 25.5% of water samples fell in a highly suitable water type, whereas 33.5% exhibited a low suitability type, and the remaining 41% showed medium suitability for irrigation purposes. The values of SAR, SSP, RSBC, and MAR indices showed that about 31-64% of water samples were very good, whereas 5-20% were very poor for the same purpose. The results of TDS, EC, and total hardness showed good results as 88-93% of water samples fell in fair to excellent quality. The salinity hazard was found in the groundwater of coastal areas and was completely unfit for irrigation. The study findings would help for improving the management of the groundwater resources for agricultural purposes in Bangladesh.
Volume: 10
Issue: 2
Page: 156-170
Publish at: 2021-06-01

Planning models for optimal routing of radial distribution systems

10.11591/ijape.v10.i2.pp108-117
Mahmoud Ali Farrag , Maged Gamal Zahra , Shaimaa Omran
This paper presents three planning models for optimal routing of radial distribution systems. In the first two models, the cost function includes capital cost of lines, energy loss cost, and bays cost. The constraints equations include power balance equations, voltage drop equations, radiality equations, logic equations, thermal limit equations, and bus voltage limit equations. The first model considers the energy loss equation in its quadratic form while the second model approximates the energy loss equation of each cable size by a simple linear segment considering the economic loading of each cable size. In the third model, two sub-models are used where the first one gets the optimal radial network configuration regardless of the cable sizes and voltage constraints. In the second sub-model the best cable size on each selected line of the first model is determined to minimize the system costs while considering the bus voltage limit constraint and thermal limit constraint. Verification of the proposed planning models has been made using a real 11 kV 34-bus distribution network with 68 initial lines.
Volume: 10
Issue: 2
Page: 108-117
Publish at: 2021-06-01

Factual power loss lessening by synthetic supportive exploration algorithm

10.11591/ijape.v10.i2.pp102-107
Kanagasabai Lenin
In this work an innovative synthetic supportive exploration (SSE) algorithm is utilized for solving optimal reactive power problem. Projected algorithm is based on communication between two simulated fabulous creatures as both of them intermingle and voyage to altered zones to find comprehensive minimum. In a definite zone according to the climate altering conditions amount of food can be found will be varied. Due to this reason, fabulous creatures develop seasonal exodus deeds to find out improved food sources. Earlier to exodus fabulous creatures will divide into subgroups in order to find an improved food source. Coordination of sub-groups will determine the performance of the search. Communication and exploration are the two key deeds of the fabulous creatures. Also, the two fabulous creatures make a decision on the marauder and prey by the sub fabulous creature. Proposed synthetic supportive exploration (SSE) algorithm has been tested in IEEE 14 and 300 bus systems. Real power loss power loss reduction achieved.
Volume: 10
Issue: 2
Page: 102-107
Publish at: 2021-06-01

Control of isolated microgrid based renewable energy generation using PID controller

10.11591/ijape.v10.i2.pp127-134
Regad Mohamed Sidi Brahim , M'hamed Helaimi , Rachid Taleb
This paper investigates optimal PID controller tuning using particle swarm optimization for frequency control in the microgrid system. The proposed microgrid composed of renewable sources such as wind turbine generation and solar system with diesel engine generator and storage systems such as the battery, flywheel, aqua electrolyze, and fuel cell. The microgrid based on renewable energy sources faces different challenges in operation and stability due to the stochastic nature of solar radiation and wind speed that depend upon the weather conditions. Among these challenges, the frequency and power deviations are affected by the sudden unbalance between generation and load which require a suitable and adequate regulation. The principal objective of this study is to reduce the frequency and power deviation by the use of the PID controller optimized based particle swarm optimization due to its simplicity and flexibility to overcome this kind of issues. The simulation results show the better performances and robustness of the proposed controller against the disturbances in load and generations in comparison to using a genetic algorithm.
Volume: 10
Issue: 2
Page: 127-134
Publish at: 2021-06-01

Harmonic elimination by SPWM and THIPWM techniques applied in photovoltaic inverters

10.11591/ijape.v10.i2.pp159-172
Falil Fatima , Bénabadji Nourddine
With advances in solid-state power electronic devices, control techniques (PWM) have been devised to obtain high dynamics responses from a multilevel power conditioning converter-Photovoltaic. This work discusses the advantages and drawbacks of two different PWM techniques, the sinusoidal (SPWM) technique and the Third harmonic injection PWM (THIPWM) technique. These two methods are compared by discussing their ease of implementation and by analyzing the output harmonic spectra of various output voltage and their total harmonic distortion (THD). The focus of this paper is the simulation study of single-phase inverter, three phases, two levels and three levels inverter for application photovoltaic. Firstly, single phase is modeled with inductive load and their waveforms are observed. Secondly, a two levels inverter, and three levels inverter are leading to the high industrial performances of the drives synchronous, especially, if a high-power quality is requested.
Volume: 10
Issue: 2
Page: 159-172
Publish at: 2021-06-01

Spectral effects and determining the solar spectral distribution for Mugla and Ankara

10.11591/ijape.v10.i2.pp143-150
Murat Kabakci , Rustu Eke
Not only is the theoretical calculation of the amount of solar radiation but also the characteristics of the light so significant in deciding the spectral sensitivity of the PV modules. The amount of radiation reaching on the earth depends on many atmospheric parameters such as wavelength and air mass. Spectral 2 is a model that calculates the amount of radiation for any region depending on the wavelength and atmospheric parameters. There are no theoretical and experimental studies on this subject in Turkey until now. In this study, the amounts of radiation coming to the surface having horizontal and different tilt angles were calculated for Mugla and Ankara. Due to the different climatic characteristics of Mugla and Ankara, the amount of radiation varies. According to the results, in winter and autumn, the amount of radiation which comes to Ankara and Mugla, is different each other. Due to the different climatical and geographical characteristics of Mugla and Ankara, the amount of radiation varies. The model, which is used in this study, due to atmospheric effects that have, is more comprehensive than any other empirical models made in Turkey.
Volume: 10
Issue: 2
Page: 143-150
Publish at: 2021-06-01

Characters recognition using keys points and convolutional neural network

10.11591/ijeecs.v22.i3.pp1629-1634
M. Boutounte , Y. Ouadid
In this paper, the convolutional neural network (CNN) is used in order to design an efficient optical character recognition (OCR) system for the Tifinagh characters. indeed, this approach has proved a greater efficiency by giving an accuracy of 99%, this approach based in keys points detection using Harris corner method, the detected points are automatically added to the original image to create a new database compared to the basic method that use directly the database after a preprocessing step consisting on normalization and thinning the characters. Using this method, we can benefit from the power of the convolutional neural network as classifier in image that has already the feature. The test was performed on the Moroccan Royal Institute of Amazigh Culture (IRCAM) database composed of 33000 characters of different size and style what present the difficulty, the keys points are the same in the printed and handwritten characters so this method can be apply in both type with some modifications.
Volume: 22
Issue: 3
Page: 1629-1634
Publish at: 2021-06-01

Detailed Simulink implementation for induction motor control based on space vector pulse width modulation SVPWM

10.11591/ijeecs.v22.i3.pp1251-1262
Taha A. Hussein , Laith A. Mohammed
Space vector pulse width modulation (SVPWM) generates less harmonic distortion in the output voltage or currents, provides more efficient use of supply voltage and better voltage utilization compared with sine pulse width modulation (PWM). In this work, a detailed Simulink implementation for SVPWM for the open loop control of permanent magnet synchronous motor (PMSM) is presented. Results show the output of the blocks that assembles SVPWM besides the PMSM voltages and currents when exposing the motor to different load torques. The technique of SVPWM enables the load to respond to the change in external load torque. This technique also results in lower total harmonic distortion and better utilization of the direct current (DC) supply compared with traditional sinusoidal pulse width modulation sinusoidal pulse width modulation (SPWM).
Volume: 22
Issue: 3
Page: 1251-1262
Publish at: 2021-06-01

Android interactive word game in mother tongue for early childhood learners

10.11591/ijeecs.v22.i3.pp1787-1795
Rosie Jane P. Siosan , Josephine R. Lavilla , Ma. Asuncion Christine V. Dequilla , Joel T. De Castro
As ownership of mobile devices increases, the trend in the use of information and communications technology (ICT) in education also advances. In line with the mandate of the department of education to develop interactive strategies, this study aimed to design, develop, and evaluate an android interactive word game in Mother Tongue on the level of acceptability of the system based on content, instructional quality, technical quality, presentation and organization, and accuracy and up-to-dateness to address the gap for interactive mobile learning. This study used developmental and quasi-experimental research. The first phase of the study used developmental research to design, develop, and evaluate the acceptability of the android word game. The second phase of the study used quasi-experimental to evaluate the effectiveness of the developed android word game on the pupils' academic performance in mother tongue. The evaluation of the information technology (IT) experts resulted to a very acceptable rating for the android interactive word game, which was observed to be effective based on the higher post-test mean score or higher mean score of the pupils in the spelling skills after their exposure to the android interactive word game.
Volume: 22
Issue: 3
Page: 1787-1795
Publish at: 2021-06-01

High frequency of low noise amplifier architecture for WiMAX application: A review

10.11591/ijece.v11i3.pp2153-2164
Abu Bakar Ibrahim , Che Zalina Zulkifli , Shamsul Arrieya Ariffin , Nurul Husna Kahar
The low noise amplifier (LNA) circuit is exceptionally imperative as it promotes and initializes general execution performance and quality of the mobile communication system. LNA's design in radio frequency (R.F.) circuit requires the trade-off numerous imperative features' including gain, noise figure (N.F.), bandwidth, stability, sensitivity, power consumption, and complexity. Improvements to the LNA's overall performance should be made to fulfil the worldwide interoperability for microwave access (WiMAX) specifications' prerequisites. The development of front-end receiver, particularly the LNA, is genuinely pivotal for long-distance communications up to 50 km for a particular system with particular requirements. The LNA architecture has recently been designed to concentrate on a single transistor, cascode, or cascade constrained in gain, bandwidth, and noise figure.
Volume: 11
Issue: 3
Page: 2153-2164
Publish at: 2021-06-01

Hybrid PSO-GSA algorithm-based optimal control strategy for performance enhancement of a grid-connected wind generator

10.11591/ijape.v10.i2.pp151-158
Mina N. Amin , Mahmoud A. Soliman , Hany M. Hasanien , Almoataz Y. Abdelaziz
Due to the great level of wind energy penetration in the existing network, huge efforts have been directed to enhance the grid-connected wind generator performance. This paper shows an application of a hybrid algorithm of the particle swarm optimization and the gravitational search algorithm (PSO-GSA) to enhance the transient stability of the grid-tied wind energy conversion system. The variable-speed wind turbine (VSWT) direct-drive permanent-magnet synchronous generator is connected to the network through a full-scale converter. The generator- and grid-side converters are controlled by utilizing an optimum proportional-integral (PI) controller. The criterion of the integral squared error is utilized as an objective function. The PSO-GSA based-PI controller efficacy is validated by comparing its results with that are obtained by utilizing the genetic algorithm (GA)-based-PI controller. The performance of the suggested control scheme is checked during various fault conditions. The control scheme quality is legalized by the simulation results that are obtained using MATLAB/Simulink program
Volume: 10
Issue: 2
Page: 151-158
Publish at: 2021-06-01

A comparison between deep learning, naïve bayes and random forest for the application of data mining on the admission of new students

10.11591/ijai.v10.i2.pp324-331
Nurhachita Nurhachita , Edi Surya Negara
The process of admitting new students at Universitas Islam Negeri Raden Fatah each year produces a lot of new student data. So that there is an accumulation of student data continuously. The purpose of this study is to compare deep learning, naïve bayes, and random forest on the admission of new students as well as being one of the bases for making decisions to determine the promotion strategy of each study program. The data mining method used is knowledge discovery in database (KDD). The tools used are rapid miner. The attributes used are student ID number, name, program study, faculty, gender, place of birth, date of birth, year of entry, school origin, national examination, type of payment, and nominal payment. The new student data used from 2016 to 2019 was an 18.930 item. The results of this study used deep learning bayes results resulted in an accuracy value of 52.65%, naïve bayes results resulted in an accuracy value of 99.79%, and random forest results resulted in an accuracy value of 44.65%.
Volume: 10
Issue: 2
Page: 324-331
Publish at: 2021-06-01

Teacher-student interaction in mathematics learning

10.11591/ijere.v10i2.21184
Irma Ayuwanti , Marsigit Marsigit , Dwi Siswoyo
Teacher-students interaction is one of the most important interactions in learning. Teacher-students interaction affects student understanding.However, in practice, there are still many lessons that have not applied teacher-students interaction properly.This study aimed to reveal teacher-student interaction in the mathematics learning process that affects students’ mathematical understanding.This study used a qualitative method with a phenomenological approach.Theresearch subjects were eighth-grade junior high school students. Research data were obtained through observation, interviews, and documentation.Observations were conducted in the eighth grade and interviews were conducted with six students from the class. The students were interviewed to express their opinions concerning learning process interactions. The results of this study showed that teacher-student interaction has affected students’ mathematical understanding consists of: 1) The teacher transfers the material-the students attend to the material; 2) Question-answer amid teacher-students; 3) The teacher makes interesting learning strategies-students are actively involved in learning; 4) Teachers give awards-students receive awards.
Volume: 10
Issue: 2
Page: 660-667
Publish at: 2021-06-01

Traffic-aware adaptive server load balancing for software defined networks

10.11591/ijece.v11i3.pp2211-2218
C. Fancy , M. Pushpalatha
Servers in data center networks handle heterogenous bulk loads. Load balancing, therefore, plays an important role in optimizing network bandwidth and minimizing response time. A complete knowledge of the current network status is needed to provide a stable load in the network. The process of network status catalog in a traditional network needs additional processing which increases complexity, whereas, in software defined networking, the control plane monitors the overall working of the network continuously. Hence it is decided to propose an efficient load balancing algorithm that adapts SDN. This paper proposes an efficient algorithm TA-ASLB-traffic-aware adaptive server load balancing to balance the flows to the servers in a data center network. It works based on two parameters, residual bandwidth, and server capacity. It detects the elephant flows and forwards them towards the optimal server where it can be processed quickly. It has been tested with the Mininet simulator and gave considerably better results compared to the existing server load balancing algorithms in the floodlight controller. After experimentation and analysis, it is understood that the method provides comparatively better results than the existing load balancing algorithms.
Volume: 11
Issue: 3
Page: 2211-2218
Publish at: 2021-06-01

Innovative earthing systems for electric power substations using conductive nanoparticles

10.11591/ijece.v11i3.pp1857-1864
Ahmed Thabet , Youssef Mobarak
The earthing system is very important to safe human’s lives and protect power system from normal and abnormal faults. High soil resistivity regions is the main problem of installation the earthing systems in electric power substations to pass the current through the earth's surface. This paper has been overcome on high soil resistivity regions by penetrating conductive nanoparticles to have extremely low grounding resistance. Moreover, it has been succeeded to examine the methodology of the proposed Nano-Tech earthing systems in case of single rods, multiple rods and grids. Also, it has been defined optimal types and concentrations of nanoparticles for Nano-Tech grounding system to provide excellence protection for electrical substations with respect to built beneath of soil where substation is located. A comparative study has been discussed and analyzed the results of traditional and nanotechnology grounding systems.
Volume: 11
Issue: 3
Page: 1857-1864
Publish at: 2021-06-01
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