Bulletin of Electrical Engineering and Informatics
Bulletin of Electrical Engineering and Informatics (Buletin Teknik Elektro dan Informatika) ISSN: 2089-3191, e-ISSN: 2302-9285 is open to submission from scholars and experts in the wide areas of electrical, electronics, instrumentation, control, telecommunication and computer engineering from the global world. The journal publishes original papers in the field of electrical, computer and informatics engineering.
Articles
2,901 Documents
Fuzzy and predictive control of a photovoltaic pumping system based on three-level boost converter
Zakaria Massaq;
Abdelouahed Abounada;
Mohamed Ramzi
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v10i3.2605
In this work, an efficient control scheme for a double stage pumping system is proposed. On the DC side, a three-level boost converter is employed to maximize the photovoltaic power and to step-up the DC-link voltage. For maximum power point tracking, the classical incremental conductance method is substituted by a fuzzy logic controller. The designed controller estimates the optimal step size which speeds up the tracking process and improves the accuracy of the extracted photovoltaic power. Afterwards, the voltages across the three-level boost converter (TLBC) capacitors are balanced by phase shifting the applied duty ratios. On the motor pump side, a two-level inverter drives the motor pump with the cascaded nonlinear predictive control. The predictive controller is preferred over the conventional field-oriented control because it accelerates the torque response and resists to the change of the engine parameters. The designed controllers are evaluated using MATLAB/Simulink, and compared with the conventional controllers (incremental conductance algorithm and field-oriented control). The robust control scheme of the entire system has increased the hydraulic power by up to 23% during the system start-up and up to 10% in steady state.
A remote patient monitoring based on WBAN implementation with internet of thing and cloud server
Jaber H. Majeed;
Qais Aish
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v10i3.1813
A healthcare employment is the mainly domain in emergent technology of WBAN, and an e-health system created of cloud computing in addition to a WSN considers an important part of this field. An implementation of remotely system for monitoring the patient's vital signs require continuous observation to form low-cost networks with the ability of portability and flexibility and may be applied with separate position and long-term intensive care of peoples in the absence of disturbance of their everyday activities. The patient carries body sensor's patches to get transmitted vital signs continuously to the cloud environment, and a website is designed for presenting and analyzing the data based on designed algorithm. A comparison is made every received measurement with a that stored in the algorithm. In remote specialist care, the execution of confidence and confidentiality conservation is critical, as essential restrictions were being communicating with remote locations. To ensure reliability, the implemented system offers real time monitoring and certification to the patient's condition by means of a medical record, with rapid medical data delivery to the medical staff and can also increase the service delivery ratio of hospital capacity and monitoring of large number of patients with concentrated average delay.
Decision support system for selecting tourist attractions using fuzzy analytic hierarchy process
Christa Bire;
Daniel Kasse;
Rio Bire
Bulletin of Electrical Engineering and Informatics Vol 10, No 3: June 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v10i3.3032
The selection of tourist attractions is a multi-criteria decision making problem, which requires time and careful consideration to make the right decision. The proper destination selection based on human needs in a particular moment affects satisfaction in traveling. This research aims to create a decision support system for selecting tourist attractions (a case study in Kupang City) using fuzzy analytic hierarchy process method. Users can input the priority scale of 9 human need attributes and then be directed to the system’s recommendations of tourist attractions. This paper also compares fuzzy analytic hierarchy process method with the original analytic hierarchy process calculations. The result shows that both methods can be a solution for multi-criteria decision making, but the fuzzy analytic hierarchy process method performs a more optimal solution for cases with uncertainty in comparisons between elements.
Image confusion and diffusion based on multi-chaotic system and mix-column
Amal Abdulbaqi Maryoosh;
Zahraa Salah Dhaif;
Raniah Ali Mustafa
Bulletin of Electrical Engineering and Informatics Vol 10, No 4: August 2021
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v10i4.2942
In this paper, a new image encryption algorithm based on chaotic cryptography was proposed. The proposed scheme was based on multiple stages of confusion and diffusion. The diffusion process was implemented twice, first, by permuting the pixels of the plain image by using an Arnold cat map and, the second time by permuting the plain image pixels via the proposed permutation algorithm. The confusion process was performed many times, by performing the XOR operation between the two resulted from permuted images, subtracted a random value from all pixels of the image, as well as by implementing the mix column on the resulted image, and by used the Lorenz key to obtain the encrypted image. The security analysis tests that used to exam the results of this encryption method were information entropy, key space analysis, correlation, histogram analysis UACI, and NPCR have shown that the suggested algorithm has been resistant against different types of attacks.
An enhanced classification framework for intrusions detection system using intelligent exoplanet atmospheric retrieval algorithm
Slamet Slamet;
Izzeldin Ibrahim Mohamed Abdelaziz
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3308
Currently, many companies use data mining for various implementations. One form of implementation is intrusion detection system (IDS). In IDS, the main problem for nuisance network administrators in detecting attacks is false alerts. Regardless of the methods implemented by this system, eliminating false alerts is still a huge problem. To describe data traffic passing through the network, a database of the network security layer (NSL) knowledge discovery in database (KDD) dataset is used. The massive traffic of data sent over the network contains excessive and duplicated amounts of information. This causes the classifier to be biased, reduce classification accuracy, and increase false alert. To that end, we proposed a model that significantly improve the accuracy of the intrusion detection system by eliminating false alerts, whether they are false negative or false positive negative alerts. The results show that the proposed intelligent exoplanet atmospheric retrieval (INARA) algorithm has improved accuracy and is able to detect new attack types efficiently.
High efficient and high gain boost converter with soft switching capability connected to grid using dq axis current control
Bogimi Sirisha;
Saieni Akhilesh
Bulletin of Electrical Engineering and Informatics Vol 11, No 2: April 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i2.3358
Renewable sources like solar PV arrays are generally operated at low voltages due to safety issues. For applications such as grid connected systems, it requires boosting to high voltage which leads to reduction in efficiency. To solve this, a new high gain and efficient boost converter which is a combination of buffer capacitor, passive clamp recovery circuit to restore leakage energy in coupled inductor is presented. The magnetic field of the linked inductor stores the energy obtained from the supply. A passive clamp network recovers the energy that is stored in the leakage inductance, enhances the gain of voltage and improves overall system efficiency. High duty ratios are not essential to achieve higher voltage gain, hence the reverse recovery problem of diode is prevented. Moreover, passive clamp network decreases the voltage stress of switch, thus a minimum rating switch be used, as a result, the system's total efficiency improves. This converter output is fed as input to a single phase full bridge inverter and also synchronized to a single phase grid by using d-q axis current controller. The performance and powers injected are analyzed by connecting a resistive load.
Enhancing optical properties of WLEDs with LaOF:Eu3+&SiO2 application
Phuc Dang Huu;
My Hanh Nguyen Thi
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.2910
After many efforts, the core-shell nanostructure of LaOF:Eu3+ and SiO2 that emits bright red radiation can be fabricated by simple solvothermal application succeeded by heat treatment. The resulted particles from the fabrication process are small in size, able to demonstrate circular form more efficient and prevent stacking. Photoluminescence (PL) emission spectra exhibits intense peaks at 593 nm, 611 nm, 650 nm corresponds to 5D0 -- more than 7FJ (J = 0, 1 and 2) Eu3+ transitions respectively. The spectral intensity parameters and Eu-O ligand behaviors are estimated by means of Judd-Ofelt (J-O) theory. CIE co-ordinates are found to be (x = 0.63, y = 0.36) which is very close to standard NTSC values (x = 0.67, y = 0.33). CCT value is 3475 K which is less than 5000 K, as a result this phosphor is suitable for warm light emitting diodes. The optimized core-shell SiO2 (coat III)@LaOF:Eu3+ (5 mol%) was used as a fluorescent labeling marker to identity latent fingerprints on both porous and non-porous surfaces. The fingerprints results are highly sensitive, selective and also has no obstruction caused by the back-ground which supports level-I to level-III fingerprint ridge recognition. The experiments outcomes suggest that the enhancements brought by the core-shell NS structure can be further examined to apply in forensic and solid state lightning applications.
Smart irrigation system with photovoltaic supply
Elia Erwani Hassan;
Leong Lek Chung;
Mohamad Fani Sulaima;
Nazrulazhar Bahaman;
Aida Fazliana Abdul Kadir
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3338
Maximizing crop yielding is an extensive problem faced by the population in a country. The main issue comes from the farmer who still implemented the conventional method of irrigation that required human actions, especially for water pump operation. As an alternative, the automatic solution becomes a demand with the internet of things (IoT) support system to overcome the agriculture scenario. Meanwhile, multiple sensors controlled by the ESP32 microcontroller are also used to measure the crucial parameters that influenced the living conditions of crops and are called input parameters. Meanwhile, the implementation of a fuzzy logic controller is to control the timing of water volume based on the inputs data obtained through the sensors' responses. Solar energy is the main supply because of the zero-cost expense and environmentally friendly energy generation. In large, this research developed the smart irrigation system (SIS) with photovoltaic (PV) panels as a supply to sustain the energy required for empowering the entire process. As a result, the SIS is found as a successful system in controlling the best suitable time of water irrigation. The soil evaporation contents obtained from the experiment were also close to actual accurate data reference for Melaka state to verify the solution.
Mapping of human arm impedance characteristics in spatial movements
Tasnuva Tabashhum Choudhury;
Md Mozasser Rahman;
Md Raisuddin Khan;
Fazlur Rashid;
Md. Rabiul Islam Sarker
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3461
In this paper, impedance characteristics are determined for discrete movement. It explores the changes in impedance characteristics of human arm during a complete task. This study considered 3D spatial movement for horizontal adduction and abduction. The human arm is considered as mass-spring-damper system and the modelling is done accordingly. The model is solved for 3 degree of freedom (3DoF) spatial movement usually used for daily work. Inertia, stiffness and damping factor are the impedance characteristics considered in the model. Using position measuring device, the position data of elbow and wrist were obtained with respect to pre-defined references. The data were used to calculate velocity, acceleration and force. Then, the impedance characteristics were determined by solving the equation of motion of the mass-spring-damper system corresponding to different position of the wrist on the trajectory. These impedance factors were then plotted to map the characteristics. The mappings were done for both total durations to complete task and for segments of the task. The impedance characteristics were observed to vary according to the movement of the arm. Significant changes of damping factor and stiffness were found to occur at the beginning and end of the arm movement.
Enhanced SLM based OFDM-DCSK communication system for PAPR reduction
Sajjad R. Abdulridha;
Fadhil S. Hasan
Bulletin of Electrical Engineering and Informatics Vol 11, No 1: February 2022
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/eei.v11i1.3549
In this research, a selective mapping (SLM) technique using the Walsh Hadamard (WH) matrix, the Riemann matrix, and the new enhanced Riemann matrix were introduced to reduce the peak to average power ratio (PAPR) of orthogonal frequency division multiplexing based differential chaos shift keying (OFDM-DCSK). Using a new algorithm to reduce the size of the Riemann matrix, which in turn enhances the computational complexity of the SLM system without affecting the performance of PAPR in the main method. The simulation results show that the SLM technique using the Riemann matrix gives better PAPR performance than WH and conventional techniques by gaining about (6.3, 6.15) dB, respectively, for complementary cumulative distribution function (CCDF)=10-3 and the number of candidates U=16. Also, the results show that the SLM technique based enhanced Riemann matrix gives a reduction in computational complexity by reducing the number of candidates U to 4, while maintaining the same PAPR performance.