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31,456 Article Results

THD performance of single phase five level inverter using proportional resonant and harmonic compensators current controller

10.11591/ijpeds.v11.i3.pp1423-1429
Abdullahi Mohamed , Suriana Salimin
This paper observe the total harmonic distortion (THD) performance of single phase five level inverter using proportional resonant (PR) and harmonic compensators current controller. The THD when adding PR current controller was 1.6% at first. After more functions were added to the PR current controller to reduce the THD at the 3rd, 5th and 7th harmonic orders, the THD of the 3rd harmonic order was reduced from 0.45% to 0.1% while the 5th and 7th harmonic orders were reduced from 0.6% and 0.43% to 0.25% and 0.4% respectively. The development and simulation is performed using Matlab/Simulink. The simulation result is performed by using Fast Fourier Transform analysis (FFT) for the harmonics captured.
Volume: 11
Issue: 3
Page: 1423-1429
Publish at: 2020-09-01

High-speed video observations on fork lightning events in Malaysia

10.11591/ijeecs.v19.i3.pp1620-1625
Nor Asrina Binti Ramlee , N. A. Ahmad , Z. A. Baharudin , A. R. Mohamed
Malaysia is one of the countries with the highest lightning strikes incidence in the world. Yet, Malaysians are still taking a proper lightning protection indifferent manner. This might be due to lack of knowledge on lightning characteristics in Malaysia. Therefore, this study presents an unusual lightning phenomenon with multiple grounding points that might cause a disastrous event, called fork lightning. Between November and December 2018, there were three different patterns of fork lightning mechanism successfully recorded by using high speed camera with 2800 frame per second. Temporal analysis of the lightning progress had been done on the samples based only on the camera records which then played back by using Wondershare Filmora video editor. These three samples of fork lightning images were acquired among 37 lightning events recorded in this study. The first sample of fork lightning fully established the forked branch 0.35 ms before the return stroke occurred. On the contrary, second fork lightning established its forked branch 0.35 ms after the return stroke. Both forked branches for third sample simultaneously fully established with the return stroke event. Obviously, these events had striking the ground in up to ten milliseconds of time duration. Thus, there is always a possibility that they might cause serious damage and should not be neglected in designing a lightning protection system.
Volume: 19
Issue: 3
Page: 1620-1625
Publish at: 2020-09-01

Net energy metering scheme based on time of use pricing for residents in Malaysia

10.11591/ijeecs.v19.i3.pp1140-1146
Abdul Hafiz Bin Razali
The current Malaysia’s net energy metering (NEM) scheme has been updated in 2019 that credits excess generation into the next billing month at retail rate compare to at displaced cost. The new NEM may attract more installation of solar photovoltaic (PV) system among residential customers. However, it is discovered that customers with low monthly electricity consumptions are still not benefited since their electricity cost is lower than the PV generation cost. Implementing time-of-use (TOU) pricing on NEM scheme may overcome the problem as it based on hourly energy usage. This paper compares the annualized energy cost of residential PV system under different TOU prices and NEM scheme. The results show that an optimized TOU prices as suggested in this paper may give financial benefits to all residential customers with PV system, including the one with low monthly consumption.
Volume: 19
Issue: 3
Page: 1140-1146
Publish at: 2020-09-01

Wireless power and data transfer through carbon composite using a common inductive link

10.11591/ijpeds.v11.i3.pp1441-1448
Tuan Anh Vu , Chi Van Pham , William Tran , Anh-Vu Pham , Christopher S. Gardner
This paper presents the design and development of an integrated wireless power transfer and data communication system. The power and data transfer share a common inductive link that consists of two identical Helical coils placed on both sides of a carbon composite barrier. Power and data are transferred simultaneously through a 5-mm thick carbon composite barrier without any physical penetration or contact. Power transfer measurements show that the system can deliver 9.7 AC power to the receiving coil with a power transfer efficiency of 36% through the carbon composite barrier. The system achieves a bidirectional half-duplex data communication with the data rate of unit 1.2kbit/s.
Volume: 11
Issue: 3
Page: 1441-1448
Publish at: 2020-09-01

Impact of field roughness and power losses, turbulence intensity on electricity production for an onshore wind farm

10.11591/ijpeds.v11.i3.pp1519-1526
Bedri Dragusha , Bukurije Hoxha
When designing a power generation project from a different source, and in our case study, wind, when calculating the annual energy produced, it is necessary to define and calculate the losses incurred in the system.  The main cause of losses in a wind park is due to the oscillations caused by the turbulence of the air around the turbine because of roughness of terrain. The paper describes two methods of estimating turbulence intensity: one based on the mean and standard deviation (SD) of wind speed from the nacelle anemometer, the other from mean power output and its SD. These analyses are very important for understanding the fatigue and mechanical stress on the wind turbines. Then significance of the site ruggedness index (RIX) and the associated performance indicator (ΔRIX) are confirmed for terrain and the consequences of applying WAsP outside its operating envelope are quantified.
Volume: 11
Issue: 3
Page: 1519-1526
Publish at: 2020-09-01

Different mutation and crossover set of genetic programming in an automated machine learning

10.11591/ijai.v9.i3.pp402-408
Suraya Masrom , Masurah Mohamad , Shahirah Mohamed Hatim , Norhayati Baharun , Nasiroh Omar , Abdullah Sani Abd. Rahman
Automated machine learning is a promising approach widely used to solve classification and prediction problems, which currently receives much attention for modification and improvement. One of the progressing works for automated machine learning improvement is the inclusion of evolutionary algorithm such as Genetic Programming. The function of Genetic Programming is to optimize the best combination of solutions from the possible pipelines of machine learning modelling, including selection of algorithms and parameters optimization of the selected algorithm.  As a family of evolutionary based algorithm, the effectiveness of Genetic Programming in providing the best machine learning pipelines for a given problem or dataset is substantially depending on the algorithm parameterizations including the mutation and crossover rates. This paper presents the effect of different pairs of mutation and crossover rates on the automated machine learning performances that tested on different types of datasets. The finding can be used to support the theory that higher crossover rates used to improve the algorithm accuracy score while lower crossover rates may cause the algorithm to converge at earlier stage.
Volume: 9
Issue: 3
Page: 402-408
Publish at: 2020-09-01

Grey wolf optimizer algorithm based real time implementation of PIDDTC and FDTC of PMSM

10.11591/ijpeds.v11.i3.pp1640-1652
Osama M. Arafa , Said A. Wahsh , Mohamed Badr , Amir Yassin
Meta-heuristic optimization techniques are important tools to define the optimal solutions for many problems. In this paper, a new advanced artificial intelligence (AI) based direct torque control (DTC) speed drives are optimally designed and implemented in real time to achieve a high performance permanent-magnet synchronous-motor (PMSM) drive. Grey wolf (GW) algorithms are used with the standard PID-based DTC (PIDDTC) and with the DTC with fuzzy logic (FDTC) based speed controllers. DSPACE DS1202 is utilized in the real-time implementation. MATLAB SIMULINK is used to simulate the steady-state (S.S.) and dynamic responses. The overall system is tested at different operating conditions for both simulation and practical work and all results are presented. A comparison between experimental and simulation results is performed and also a comparison between different applied intelligent techniques is introduced.
Volume: 11
Issue: 3
Page: 1640-1652
Publish at: 2020-09-01

Enhancing advance encryption standard security based on dual dynamic XOR table and MixColumns transformation

10.11591/ijeecs.v19.i3.pp1574-1581
Adnan Ibrahem Salih , Ashwaq Mahmood Alabaichi , Ammar Yaseen Tuama
An efficient approach to secure information is critically needed at present. Cryptography remains the best approach to achieve security. On this basis, the national institute of standards and technology (NIST) selected Rijndael, which is a symmetric block cipher, as the advanced encryption standard (AES). The MixColumns transformation of this cipher is the most important function within the linear unit and the major source of diffusion. Dynamic MixColumns transformation can be used to enhance the AES security. In this study, a method to enhance the AES security is developed on the basis of two methods. The first method is an extension of a previous study entitled “A novel Approach for Enhancing Security of Advance Encryption Standard using Private XOR Table and 3D chaotic regarding to Software quality Factor.” In the current study, the fixed XOR operation in AES rounds is replaced with a dual dynamic XOR table by using a 3D chaotic map. The dual dynamic XOR table is based on 4 bits; one is used for even rounds, and the other is used for odd rounds. The second method is dynamic MixColumns transformation, where the maximum distance separable (MDS) matrix of the MixColumns transformation, which is fixed and public in every round, is changed with a dynamic MDS matrix, which is private, by using a 3D chaotic map. A 3D chaotic map is used to generate secret keys. These replacements enhance the AES security, particularly the resistance against attacks. Diehard and NIST tests, entropy, correlation coefficient, and histogram are used for security analysis of the proposed method. C++ is used to implement the proposed and original algorithms. MATLAB and LINX are used for the security analysis. Results show that the proposed method is better than the original AES.
Volume: 19
Issue: 3
Page: 1574-1581
Publish at: 2020-09-01

Modeling of single phase off-grid inverter for small standalone system applications

10.11591/ijpeds.v11.i3.pp1398-1405
Rodney H.G. Tan , Chong Boon Chuin , Sunil Govinda Solanki
This paper presents the detail circuitry modeling of single phase off-grid inverter for small standalone system applications. The entire model is developed in MATLAB/Simulink platform using circuitry model. This off grid inverter consists of a high frequency DC-DC step up converter cascaded with a full bridge PI control voltage source inverter using SPWM modulation with LC filter to produce sine wave output. This is a common design used in many small commercial off-grid inverter. This off-grid inverter model is capable to produce AC sinewave output voltage at 230 V 50 Hz up to 1 kW power from a 48 V DC lead acid battery source. The AC sine wave output waveform achieved a voltage Total Harmonic Distortion (THD) of less than 1 % which is almost a pure sine wave. The conversion efficiency performance of the off-grid inverter achieved more than 94 %. The performance of the model is validated by real commercial off-grid inverter. The performance validation experiment shows that the off-grid inverter Simulink model conversion efficiency and THD performance are comparable to the commercial off-grid inverter. This model contributes to assist small to medium standalone system load and battery sizing design with greater accuracy.
Volume: 11
Issue: 3
Page: 1398-1405
Publish at: 2020-09-01

Grid connected photovoltaic system efficiency and quality improvement using fuzzy-incond MPPT

10.11591/ijpeds.v11.i3.pp1536-1546
Amara Yasmine , Bradai Rafik , Boukenoui Rachid , Mellit Adel
Maximum Power Point Tracking (MPPT) techniques are developed to harvest and supply maximum power to the load. This depends on the power generated and the MPPT accuracy. Under quick-changing weather conditions, Incremental Conductance (InCond) and numerous different algorithms may fail to track the exact Maximum Power Point (MPP) which may result in significant power loss. Fuzzy Logic (FL) based MPPT is quick and accurate in tracking the MPP, but the high complexity and the implementation difficulty are their main disadvantages. A novel FL-InCond MPPT improved technique is developed based on the features of InCond and FL techniques to overcome their drawbacks.The newly developed approach can automatically adjust the variation of the duty cycle for tracking the MPP with accuracy. The obtained results are compared with conventional Perturb and observe (P&O) and InCond MPPTs for grid-connected mode under fast weather conditions. It is demonstrated that the developed method outperforms the aforementioned MPPT techniques in terms of tracking response, efficiency and the delivered current quality.
Volume: 11
Issue: 3
Page: 1536-1546
Publish at: 2020-09-01

Simultaneous placement of FACTS devices using cuckoo search algorithm

10.11591/ijpeds.v11.i3.pp1344-1349
Basanagouda N. Patil , S. B. Karajgi
The power system deregulation requires thechange in reactive power compensation in the power system. The optimal placement of FACTs (Flexi ble AC transmission system) devices is mandatory to recalculate the reactive power compensation in deregulation case. The FACTs devices generally used in series and shunt conections. Here the various facts devices connected in series & shunt combination simultaneously. The optimal placement and sizing of the devices are done in this paper by formulating the objective function with minimization of cost of the generation and minimizing the cost of Facts devices. MALAB is used for writing the code. IEEE 14 bus system is used to here for testing the system. Placing the FACTs separately and simultaneously are studied in case study. Cuckoo search algorithm is used to identify the solution to the optimization problem.
Volume: 11
Issue: 3
Page: 1344-1349
Publish at: 2020-09-01

Emotional model for a multi-robot system with emergent behavior

10.11591/ijra.v9i3.pp220-232
Angel Gil , Jose Aguilar , Eladio Dapena , Rafael Rivas
This article describes an emotional model for a general-purpose robot operating in a multi-robot system with emergent behavior. The model considers four basic emotions: anger, rejection, sadness and joy, plus  a neutral emotional state, which affect the behavior of the robot,  both individually and collectively. The emotional state of each robot in  the system is constructed through the conjunction of a series of factors related to their individual and collective actions, which are: safety, load, acting and interaction, which serve as input to an emotional process that results in an index of satisfaction of the robot that establishes the emotional state in which it is in a certain moment. The emotional state of a robot influences its interactions with the other robots and with the environment, that is, it determines its emergent behavior in the system. This paper  presents the design of this model, and establishes some considerations for its implementation.
Volume: 9
Issue: 3
Page: 220-232
Publish at: 2020-09-01

Improvement of an automated CAN packaging system based on modeling and analysis approach through robot simulation tools

10.11591/ijra.v9i3.pp178-189
Khongsak Srasrisom , Pramot Srinoi , Seksan Chaijit , Fasai Wiwatwongwana
The application of robot simulation tools for modelling, analysis and improvement of existing industrial manufacturing cells is presented with reference to the development and implementation of the digital factory concept. A real case study of aerosol can packaging and palletizing cell scenario in the metal can manufacturing industry for containing food and products is used as a reference in this paper. For studying manual aerosol can packaging and palletizing conditions of the worker, a detailed time and motion analysis of workers is carried out. On the basis of cycle time analysis results, an alternative to the manual operation, a more sophisticated automated packaging and palletizing system is suggested. A proposed system which uses a robotic manipulator including automated production machine and devices are also developed and tested. The viability of the suggested system is checked through simulation and cycle time analysis. A fuzzy logic software, MATLAB is employed in order to analyse the actual system’s behaviour in terms of productivity, and utilization of the available facilities. The 3D simulation software, DELMIA V6  is additionally employed to perform a detailed design phase of the manufacturing cell. From the simulation results, this gives a rough approximation that the production of one robotized manipulator, and automated packaging and palletizing cell is equal to the production of about 4.3 manual packaging and palletizing cells. These results have shown the need for change to automation in the aerosol can packaging and palletizing system.
Volume: 9
Issue: 3
Page: 178-189
Publish at: 2020-09-01

Comparison of CNNs and SVM for voice control wheelchair

10.11591/ijai.v9.i3.pp387-393
Mohammad Shahrul Izham Sharifuddin , Sharifalillah Nordin , Azliza Mohd Ali
In this paper, we develop an intelligent wheelchair using CNNs and SVM voice recognition methods. The data is collected from Google and some of them are self-recorded. There are four types of data to be recognized which are go, left, right, and stop. Voice data are extracted using MFCC feature extraction technique. CNNs and SVM are then used to classify and recognize the voice data. The motor driver is embedded in Raspberry PI 3B+  to control the movement of the wheelchair prototype. CNNs produced higher accuracy i.e. 95.30% compared to SVM which is only 72.39%. On the other hand, SVM only took 8.21 seconds while CNNs took 250.03 seconds to execute. Therefore, CNNs produce better result because noise are filtered in the feature extraction layer before classified in the classification layer. However, CNNs took longer time due to the complexity of the networks and the less complexity implementation in SVM give shorter processing time.
Volume: 9
Issue: 3
Page: 387-393
Publish at: 2020-09-01

A novel feature engineering algorithm for air quality datasets

10.11591/ijeecs.v19.i3.pp1444-1451
Raja Sher Afgun Usmani , Wan Nurul Farah Binti Wan Azmi , Akibu Mahmoud Abdullahi , Ibrahim Abaker Targio Hashem , Thulasyammal Ramiah Pillai
Feature engineering (FE) is one of the most important steps in data science research. FE provides useful features to be used later in the study. Due to climate change, the research focus is moving towards air quality estimation and the impacts of air pollution on health in Malaysia. Malaysia has 66 air quality monitoring (AQM) stations, and the air quality data for research is provided in an excel worksheet format by the Department of Environment, Malaysia. The data generated by the AQM stations is in a raw custom format, and it is virtually impossible to clean and engineer this data manually due to the sheer number of files. Hence, we propose a novel feature engineering algorithm to transform and combine this data into a useable format. The results show that the proposed feature engineering algorithm was able to efficiently extract and combine the hourly and daily values for pollutant and meteorological variables in useful row format. This algorithm will help all the researchers using the data from the AQM station in Malaysia as well as other countries using the same AQM station. The implementation of the feature engineering algorithm is also available to use at GitHub (https://github.com/rajasherafgun/featureengineeringaq) under AFL-3.0 license.
Volume: 19
Issue: 3
Page: 1444-1451
Publish at: 2020-09-01
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