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29,922 Article Results

Parameter estimation of three-phase linear induction motor by a DSP-based electric-drives system

10.11591/ijece.v10i1.pp626-636
Nicolás Toro García , Yeison Alberto Garcés Gómez , Fredy Edimer Hoyos Velasco
This work describes a method to characterize a three-phase linear induction motor in order to determine the various parameters used in its per-phase equivalent circuit by a DSP-based electric-drives system. In LIM (Linear Induction Motor), the air gap is very large compared with the RIMs (Rotary Induction Motors). Further, the secondary part normally does not have slotted structure. It is just made of aluminum and steel plates. Therefore, the effective air gap is larger than the physical air gap. High air gap makes a larger leakage inductance. It leads to lower efficiency and lower power factor. DC resistance test will be done to determine the value of Rs. The primary Inductance Ls will be calculated by running the LIM at synchronous speed. The secondary parameters i.e. Llr and Rr′ will be calculated by blocked-mover test. The experiment for no load test is shown and include a DC motor coupled to the LIM under test. Two methods to calculate the secondary parameters are described.
Volume: 10
Issue: 1
Page: 626-636
Publish at: 2020-02-01

Effect of optimal Multi-DG siting and sizing in transmission system using hybrid optimization technique for voltage control

10.11591/ijeecs.v17.i2.pp646-653
Sharifah A. Shaaya , Ismail Musirin , Shahril I. Sulaiman , Mohd H. Mansor , Sharifah A. S.Mustaffa
The advancement of Distributed Generation (DG) technologies have caused great impact to power system operation. Inappropriate installation of DGs may lead to over-compensation or under-compensation situation. Thus, a reliable optimization is urgent to avoid any unwanted effect. This paper analyses the installation impact of different types-multi-DGs determined using a pre-developed hybrid optimization technique termed as Immunized-Brainstorm-Evolutionary Programming (IBSEP). It is imperative to study the effect of multi-DGs installation such that a relevant utility can make a correct decision, whether its installation is worth or vice versa. Rigorous study has been conducted in terms of identifying the optimal location and sizing, installed on transmission system for voltage control involving different DG types. Comprehensive results are embedded in this paper to demonstrate the effect of multi-DGs installation in transmission system which in turns beneficial to the utility.
Volume: 17
Issue: 2
Page: 646-653
Publish at: 2020-02-01

Powerplan : The alternative software for presentations at local area network using virtualtreeview and omnithread

10.11591/ijece.v10i1.pp947-961
Daniel Silli Bataona , Rinaldi Munir , Tutun Juhana , Gloria Christiana Manulangga , Jemsrado Sine
The need for LCD projectors is very urgent, so even though they often experience shortcomings, it is impossible to continue to make purchases when needed to repair LCD projectors that require high costs such as buying a new device. Software development from the results of this study is not only beneficial for educational institutions but also for personal or specific institutions and institutions who want to conduct seminars, presentations, or other activities that involve many audiences. The advantage is that the audience will not experience problems such as when using an LCD projector, such as limited visibility, location or space, and the viewpoint of the audience on the Projector LCD / Screen. Another contribution that can be given from this research is a model of the teaching and learning process in real-time without using an LCD and only using a PC/ Laptop connected to the same LAN. It is a development of research that supports the concept of green computing because it also reduces the use of equipment LCD projector, but the usage function remains the same even more effective and interactive even without the device. Presentation model like this is the development of new models in the learning process using LAN networks but without using the internet connection and is the cross-platform model. This research can be the answer to the need for using LCD projectors that often occur in the process of education, meetings, or seminars that continue to increase every time. Also, the lack of LCD compared to the number of teaching needs in each class and the unstable electricity conditions and the low electricity ratio in East Nusa Tenggara, have resulted in frequent blackouts suddenly, so that makes the device LCD vulnerable to damage. The test results showed an increase in RTT along with the increasing number of servers conducting presentation activities. Testing on LAN networks with the same number of clients on each test shows that there was an increase of 18% and 75% in each addition to the number of servers. The best performance of Powerplan is still shown when the number of servers that present several five, with the response time of each client connected under two seconds.
Volume: 10
Issue: 1
Page: 947-961
Publish at: 2020-02-01

Analysis of classification learning algorithms

10.11591/ijeecs.v17.i2.pp1029-1039
Hana Rashied Esmaeel
The paper attempts to apply data mining Technique, Five classification algorithms were used to build data they are (ZeroR, SMO, Naive Bayesian, J48 and Random Forest).The analysis implemented using WEKA (3.8.2) Data mining software tool. The information was collected from college of Information Engineering (COIE) In Al Nahrain University within the variety of form using "Referendum" to estimate the teacher performance; it was store in Excel file CSV format then regenerate to ARFF (Attribute Relation File Format). Many criteria like (Time taken to create models, accuracy and average error) was taken to evaluate the algorithms Random forest and , SMO Predicts higher than alternative algorithms ,since  their  accuracy is the highest and have lowest average error compared to others  ,"The teacher clarification and  wanting to be useful  to students " was the strongest attribute. Further removing the bad ranked attributes (10, 11, 12, and 14) that have a lower contact on dataset can increase accuracies of algorithms
Volume: 17
Issue: 2
Page: 1029-1039
Publish at: 2020-02-01

Virtual inertia support for wind turbine system

10.11591/ijeecs.v17.i2.pp629-636
Nor Shahida Hasan , Norzanah Rosmin , Nor Julia Mohd Nordin , Aede Hatib Mustaamal , Siti Maherah Husin , Aripriharta Aripriharta , Ira Devi Sara
Previously, a conventional synchronous generator is adapted into the wind energy conversion system to supply the required inertial support; however its slow behaviour may worsening the stability problem of the system during frequency event. In this paper, a new approach that enables virtual inertial support from supercapacitor during sudden load increase e.g. when wind turbine experiencing sudden wind or load changes is presented. Here, a new approach that can regulate the system frequency by controlling the charging and discharging process of supercapacitor is demonstrated. Hence, an algorithm on how to derive the behavior of supercapacitor and power converter is presented. From the simulation results, it has been found that this proposed approach successfully reduces the frequency nadir and ROCOF of the system frequency. It also able to avoid the second frequency dips during frequency recovery time.
Volume: 17
Issue: 2
Page: 629-636
Publish at: 2020-02-01

I-OnAR: a rule-based machine learning approach for intelligent assessment in an online learning environment

10.11591/ijeecs.v17.i2.pp1021-1028
Shaiful Bakhtiar bin Rodzman , Nordin Abu Bakar , Yun-Huoy Choo , Syed Ahmad Aljunid , Normaly Kamal Ismail , Nurazzah Abd Rahman , Marshima Mohd Rosli
Intelligent systems are created to automate decision making process that is similar to human intelligence. Incorporating intelligent component has achieved promising results in many applications, including in education. Intelligence modules in a tutoring system would bring the application and its capability closer to a human's ability to serve its human users and to solve problems. However, the majority of the online learning provided in the literature review especially in Malaysia, normally only provide the lecture notes, assignments and tests and rarely suggest or give feedbacks on what the students should study or do next in order to fully understand the subjects. Hence, the researchers propose an online learning environment called Intelligent Online Assessment and Revision (I-OnAR). It facilitates the learning process at multiple learning phases such as test creation, materials revision, feedback for improvement and performance analysis. These components are incorporated into the tutoring system to assist self-pace learning at anytime and anywhere. The intelligent agent uses a Rule-based Machine Learning method for the adaptive capabilities such as automated test creation and feedbacks for improvement. The system has been tested on a group of students and found to be useful to support learning process. The results have shown that 60% of the subjects’ performance have improved with the help of the system. The students were given feedbacks on the topic they did poorly as well as how to improve their performance. This proves that the Intelligent Online Assessment and revision (I-OnAR) can be a useful tool to help online students intelligently, systematically and efficiently. For the future works, the researchers would like to apply the usage of other techniques such as Fuzzy Logic to strengthen the analysis and decision of the current system.
Volume: 17
Issue: 2
Page: 1021-1028
Publish at: 2020-02-01

An enhanced kernel weighted collaborative recommended system to alleviate sparsity

10.11591/ijece.v10i1.pp447-454
S. Babeetha , B. Muruganantham , S.Ganesh Kumar , A. Murugan
User Reviews in the form of ratings giving an opportunity to judge the user interest on the available products and providing a chance to recommend new similar items to the customers. Personalized recommender techniques placing vital role in this grown ecommerce century to predict the users’ interest. Collaborative Filtering (CF) system is one of the widely used democratic recommender system where it completely rely on user ratings to provide recommendations for the users.  In this paper, an enhanced Collaborative Filtering system is proposed using Kernel Weighted K-means Clustering (KWKC) approach using Radial basis Functions (RBF) for eliminate the Sparsity problem where lack of rating is the challenge of providing the accurate recommendation to the user.  The proposed system having two phases of state transitions: Connected and Disconnected. During Connected state the form of transition will be ‘Recommended mode’ where the active user be given with the Predicted-recommended items. In Disconnected State the form of transition will be ‘Learning mode’ where the hybrid learning approach and user clusters will be used to define the similar user models. Disconnected State activities will be performed in hidden layer of RBF and Connected Sate activities will be performed in output Layer. Input Layer of RBF using original user Ratings. The proposed KWKC used to smoothen the sparse original rating matrix and define the similar user clusters. A benchmark comparative study also made with classical learning and prediction techniques in terms of accuracy and computational time. Experiential setup is made using MovieLens dataset.
Volume: 10
Issue: 1
Page: 447-454
Publish at: 2020-02-01

Minimize MIMO OFDM interference and noise ratio using polynomial-time algorithm

10.11591/ijece.v10i1.pp900-907
Muhamed K. Husein
In the distributed transmit antenna MIMO OFDM system, each transmitting antenna has different frequency offset between each transmitting antenna and receiver due to the use of independent crystal oscillator. This paper proposes Polynomial-time algorithm for correcting the frequency offset in a received signal by maximizing the conditional average signal. The algorithm focus on reducing to interference and noise ratio of each subcarrier on the receiving antenna by frequency offset. The simulation result shows the performance of the proposed algorithm is slightly improved compared with the existing frequency offset correction algorithm, and the complexity is reduced by 50% or more.
Volume: 10
Issue: 1
Page: 900-907
Publish at: 2020-02-01

Temperature distribution analysis of monocrystalline photovoltaic panel for Photovoltaic-Thermoelectric generator (PV-TEG) hybrid application

10.11591/ijeecs.v17.i2.pp858-867
Ruzaimi A. , Shafie S. , W. Z. W. Hassan , N. Azis , M. Effendy Ya'acob , E. Elianddy
An experiment has been carried out to prove the practicality of converting the waste heat from PV panels into electrical energy by observing the temperature levels and distribution of a conventional monocrystalline silicon (Mono c-Si) photovoltaic (PV) panels for photovoltaic-thermoelectric generator (PV-TEG) hybrid application of a Hybrid Agrivoltaic (HAV) Greenhouse System project. From the observation, highest temperature of the PV backside panel surface reached 81.1°C during solar noon and expected to reach even higher during hot season. The highest power output from the 160 numbers TEG modules in series and parallel configuration were calculated to reach 119 Watt during that time at ΔT 56.1 °C. This output is expected to fluctuate over the weather temperature fluctuation throughout the day. Meanwhile, for the heat distribution, it is best to apply the TEG arrays with optimized PV angle setup, where the temperature seems to be distributed evenly at all time, to provide optimum heat source to the TEG modules. It was concluded that the excess heat from the bottom surface of PV panels can be utilize by converting the heat via temperature differential to harvest additional electrical energy by integrating TEG system, hence maximizing the potential of solar radiation capacity in generating clean renewable energy.
Volume: 17
Issue: 2
Page: 858-867
Publish at: 2020-02-01

Rainfall-runoff modelling using adaptive neuro-fuzzy inference system

10.11591/ijeecs.v17.i2.pp1117-1126
Nurul Najihah Che Razali , Ngahzaifa Ab. Ghani , Syifak Izhar Hisham , Shahreen Kasim , Nuryono Satya Widodo , Tole Sutikno
This paper discusses the working mechanism of ANFIS, the flow of research, the implementation and evaluation of ANFIS models, and discusses the pros and cons of each option of input parameters applied, in order to solve the problem of rainfall-runoff forecasting. The rainfall-runoff modelling considers time-series data of rainfall amount (in mm) and water discharge amount (in m3/s). For model parameters, the models apply three triangle membership functions for each input. Meanwhile, the accuracy of the data is measured using the Root Mean Square Error (RMSE). Models with good performance in training have low values of RMSE. Hence, the 4-input model data is the best model to measure prediction accurately with the value of RMSE as 22.157. It is proven that ANFIS has the potential to be used for flood forecasting generally, or rainfall-runoff modelling specifically.
Volume: 17
Issue: 2
Page: 1117-1126
Publish at: 2020-02-01

Small-signal modeling of current-mode controlled modular DC-DC converters using the state-space algebraic approach

10.11591/ijece.v10i1.pp139-150
Nuha M. Radaydeh , M. R. D. Al-Mothafar
Small-signal models are useful tools to preliminary understand the dynamics of interconnected systems like modular dc-dc converters which find a wide range of industrial applications. This work proposes a state-space-based averaged small-signal model in symbolic form for a peak current-mode controlled parallel-input/parallel-output buck converter operating in the continuous-conduction mode. In modeling the converter power-stage each module is independently represented. For modeling the current-mode control the state-space algebraic approach is used to incorporate the current-mode control-law into the power-stage equations. For each module two parasitic elements in addition to the current-loop sampling action are included in the derivation. Furthermore, the control-to-output voltage transfer functions are presented in symbolic form for two cases of interest: the first when the converter has two non-identical modules to study the effect of inductor mismatch, and the second when the converter is composed of n-connected identical modules to assess the effect of varying the number of modules. All responses from PSIM cycle-by-cycle simulations are in good agreement with the mathematical model predictions up to half the switching frequency.
Volume: 10
Issue: 1
Page: 139-150
Publish at: 2020-02-01

PSS/E based placement wind/PV hybrid system to improve stability of Iraqi grid

10.11591/ijece.v10i1.pp91-104
Nadheer A. Shalash , Yasar N. Lafta
Proper employment of Hybrid Wind/ PV system is often implemented near the load, and it is linked with the grid to study dynamic stability analysis. Generally, instability is because of sudden load demand variant and variant in renewable sources generation. As well as, weather variation creates several factors that affect the operation of the integrated hybrid system. So this paper introduces output result of a PV /wind via power electronic technique; DC chopper; that is linked to Iraqi power system to promote the facilitating achievement of Wind/ PV voltage. Moreover, PSS/E is used to study dynamic power stability for hybrid system which is attached to an effective region of Iraqi Network. The hybrid system is connected to Amara Old bus and fault bus is achieved to that bus and the stability results reflects that settling time after disturbance is not satisfactory. But, it is found that PV/wind generation system influences Iraqi grid stability to be better than that with only PV generation and the latter is better than stability of the grid that is enhanced with only wind generation. These results represent an important guideline for Iraqi power system planner.
Volume: 10
Issue: 1
Page: 91-104
Publish at: 2020-02-01

JAVA and DART programming languages: conceptual comparison

10.11591/ijeecs.v17.i2.pp845-849
Afaf Mirghani Hassan
This paper elaborates on the concepts of a new programming language “Dart”, which has been developed by Google and considered for future use. Here, we compare it to the most famous, real time, and updated language “Java”. This is to define similarities and differences between the two important languages, explain programs’ behavior, with a focus on investigating alternative implementation strategies and problem definitions. We used programming languages’ concepts and terminologies to compare between the main characteristics of the two languages, Dart & Java.
Volume: 17
Issue: 2
Page: 845-849
Publish at: 2020-02-01

PSO-backstepping controller of a grid connected DFIG based wind turbine

10.11591/ijece.v10i1.pp856-867
Salmi Hassan , Badri Abdelmajid , Zegrari Mourad , Sahel Aicha , Baghdad Abdenaceur
The paper demonstrates the feasibility of an optimal backstepping controller for doubly fed induction generator based wind turbine (DFIG). The main purpose is the extract of maximum energy and the control of active and reactive power exchanged between the generator and electrical grid in presence of uncertainty. The maximum energy is obtained by applying an algorithm based on artificial bee colony approach. Particle swarm optimization is used to select optimal value of backstepping’s parameters. The simulation is carried out on 2.4 MW DFIG based wind turbine system. The optimized performance of the proposed control technique under uncertainty parameters is established by simulation results.
Volume: 10
Issue: 1
Page: 856-867
Publish at: 2020-02-01

Effect of combination of dye carotene and phycocyanin using daucus carota and spirulina sp. on optical sensor performance

10.11591/ijeecs.v17.i2.pp907-913
Rahmadwati Rahmadwati , Luthfiyah Rachmawati , Panca Mudjirahardjo , Eka Maulana
This research designed optical sensors using mercury lamp of 160W. These sensors provided voltage and current output. The design of optical sensors used the organic based material,i.e. dye  carotene and phycocyanin. Fabrication of optical sensor in this research used spin coating deposition method. Based on the results of absorbance test, dye carotene had the largest absorption of light of 2.882 (a.u).  Dye phycocyanin at length had the largest absorption of light of 2.787 (a.u). Combination between dye carotene and phycocyanin, for a 3: 1 (Carotene: Phycocyanin) ratio had a waveform like a dye carotene with a peak of 2.587 (au), whereas for 1: 3 had a waveform like phycocyanin with a peak of 2,279 (au). But, sample 1: 1 ratio had decrement the light absorbance rate with peaks of 1.183 (au). At the voltage testing result, combination of phycocyanin: carotene (1:3) had the best linearity. The response time of dye 3:1 (phycocyanin: carotene), 1:1, 1:3, phycocyanin, and carotene were 6.72 s, 2.469s, 1.171s, 2.66s and 7.01s respectively. 
Volume: 17
Issue: 2
Page: 907-913
Publish at: 2020-02-01
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