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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
Published by Institute of Advanced Engineering and Science
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 64 Documents
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Search results for , issue "Vol 26, No 2: May 2022" : 64 Documents clear
Performance comparison of some weak signal detection techniques Sarah Sabah Mohammed; Maher K. Mahmood Al-Azawi
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp732-742

Abstract

Performance comparison of some weak signal detection techniques is introduced. This comparison is very necessary since different applications require different operating conditions such as signal to noise ratio SNR, bandwidth, coherency, processing time and complexity. Three methods for detecting weak signals are considered. These are based on chaos theory, wavelet transform, and stocastic resonance. A detection algorithm based on a rectangular region in phase space plane is suggested in chaos method. The stocastic resonance method is considered in this research, as it is used for signal detection in underwater at a certain frequency. Simulation results obtained from MATLAB programs verify the studied methods giving an estimation of probability of detection and probability of false alarm versus SNR.
Blockchain integrated multi-agent system for breast cancer diagnosis Thirumalaimuthu Thirumalaiappan Ramanath; Md. Jakir Hossen; Md. Shohel Sayeed
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp998-1008

Abstract

The integration of multi-agent system and blockchain technology can be beneficial to healthcare applications by providing intelligent data analysis with security. This paper presents an architecture that integrates multi-agent learning system and blockchain technology to support breast cancer diagnosis in a secured manner. The proposed system is based on a parallel hybrid fuzzy logic approach for supporting the prediction of breast cancer disease. The proposed system showed a classification accuracy of 96.49% in breast cancer diagnosis when testing with the Wisconsin Diagnostic Breast Cancer dataset. The blockchain is used to provide agent security in the proposed system to ensure that the only trusted and reputed agents are participated in the decision-making process.
A novel design of a reconfigurable power divider with stubs for mobile applications Messaoud Garah; Elhadi Kenane; Farid Djahli
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp846-853

Abstract

Nowadays, the world knows a huge revolution in telecommunications, which has led to the need to integrate many services, such as long-term evolution (LTE), 5G, wireless local area network (WLAN), and Bluetooth, in one receiving and transmitting device. In the same way, all active and passive microwave circuits must be compatible with the integration of services, including the power divider, which is the subject of our work. This passive component is used in several fields such as medicine, surveillance, radar systems and others applications. Wilkinson divider is one of the most prominent power dividers, it is classified as narrow-band power divider and it is a very useful component in mobile applications (2.4 and 5.8 GHz). In this work, a reconfigurable 4-ports Wilkinson divider is designed using PIN diodes and simulated using connected speech test (CST) simulator software. This designed divider can easily modify the operation mode by activating or disabling the PIN diodes.
Solar-wind power generation system for street lighting using internet of things Jahangir Hossain; Nasir A. Algeelani; Ahmed Hasan Hamood Al-Masoodi; Aida Fazliana Abdul Kadir
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp639-647

Abstract

Every country is subsidising millions of dollars for street lighting as those are connected to the grid. Besides, the generation of electricity comes from fossil fuels with emissions of carbon dioxide (CO2). Therefore, alternative generation of electricity can be done by using a hybrid system. Solar energy starts as the day begins, and the wind is accessible on the streets with a to-and-fro motion of the car. It does not rely on any factor. This hybrid system generates 12V DC, whereas no AC converters are used, resulting in a reduction the system's cost. The control system was constructed based on IoT and included the most sophisticated battery charging system to improve the battery's cells' life cycle. The hardware system has been simulated using EasyEDA and incorporated with the PCB design. The prototype is constructed alongside collected data to compare with the theoretical basis towards net-zero energy street lighting (nZESL). The prototype was able to lead to nZESL and backup stability of the system is 10 hours per day, along with the validation of theoretical analyses and effectiveness of the system. The system has the potential to make a significant contribution to lowering CO2 emissions and government subsidies for street lighting.
Grey wolf optimization-recurrent neural network based maximum power point tracking for photovoltaic application Arumbu Venkadasamy Prathaban; Dhandapani Karthikeyan
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp629-638

Abstract

To increase the photovoltaic (PV) power-generation conversion, MPPT is the primary concern. This works explains about the grey wolf optimization (GWO - RNN)-based hybrid maximum power point tracking (MPPT) method to get quick and maximum photovoltaic (PV) power with zero oscillation tracking. The GWO – RNN based MPPT method doesn’t need additional sensor for measuring irradiance and temperature variables. The NLT is used for the multi-level inverter (MLI) control strategy to achieve less harmonics distraction and less switching losses with better voltage and current profile. This employed methodology brings remarkable aspects in the PV boosting potential extraction. A GWO – RNN controlled LUO converter is a zero output harmonic agreement impedance matching interface that is MPPT is performed by placing the PV modules between the load regulator power circuit and the load regulator power circuit. To actualize the proposed hybrid GWO – RNN model for the PV system, perturb and observe, RNN, ant colony optimization, and artificial bee colony MPPT techniques are employed. The MATLAB interfaced dSPACE interface is used to finish the hands-on validation of the intended grid-integrated PV system. The obtained results eloquently support the appropriate design of higher-performance control algorithms.
Multi-level inverter with novel carrier pulse width modulation technique for high voltage applications Sanka Sreelakshmi; Machineni Sanjeevappa Sujatha; Jammy Ramesh Rahul
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp667-674

Abstract

The present work deals with multilevel inverters (MLI) with modified carrier pulse width modulation technique and its application, especially in solar-based applications due to its modularity in structure and suitability for medium or high-power applications. Several multilevel inverters are introduced for various applications. One of the drawbacks of these inverters is high total harmonic distortion (THD) value in the output which impacts the power quality. The main objective of this work is to improve the power quality, thereby increasing the life and performance of the overall system at the consumer side. The most popular and compact cascaded multilevel DC-link inverter (CMDCLI) is considered for study and employed for 11-level operation. In general, sinusoidal pulse width modulation (SPWM) technique is used for control of inverter. However, the present work proposes a modified carrier-based hybrid pulse width modulation (HPWM) technique and has been tested with CMLDCLI. This novel technique compares the THD performance results with normal carrier wave considering R-L load. The results are analyzed in MATLAB environment and are validated with experimental results.
Mobile Ad Hoc networks intrusion detection system against packet dropping attacks Oussama Sbai; Mohamed Elboukhari
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp819-825

Abstract

Due to the extreme lack of a stable infrastructure, also self-organization of network components, unpredictable network topologies, and the lack of a central authority for routing, security assurance in mobile ad hoc networks (MANETs) is an important and difficult challenge. Among the famous threat that MANETs suffer from: blackhole, grayhole, and selfishness attacks, because the target of these attacks is to drop packets and disturb the routing operation of the network. A scalable, reliable, and robust network intrusion detection system (NIDS) should be created to effectively combat these families of network layer routing assaults in order to offer high availability for MANETs. In this paper, we present a MANETs-IDS based on machine learning algorithm against blackhole, grayhole, and selfishness attacks with Ad Hoc on-demand distance vector (AODV) routing protocol (RFC 3561) and optimized link state routing (OLSR) potocol (RFC 3626), using ns-3 simulation platform. Our simulation took into consideration the density of the network and a random mobility model of nodes. The obtained experimental results show that the proposed detection algorithm reached very promoting performances (in term of accuracy, processing time, time to build the model, precision, recall, F-measure).
Face recognition based on Siamese convolutional neural network using Kivy framework Yazid Aufar; Imas Sukaesih Sitanggang
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp764-772

Abstract

Human face recognition is a vital biometric sign that has remained owing to its many levels of applications in society. This study is complex for free faces globally because human faces may vary significantly due to lighting, emotion, and facial stance. This study developed a mobile application for face recognition and implemented one of the convolutional neural network (CNN) architectures, namely the Siamese CNN for face recognition. Siamese CNN can learn the similarity between two object representations. Siamese CNN is one of the most common techniques for one-shot learning tasks. Our participation in this study determined the efficiency of the Siamese CNN architecture with the enormous quantity of face data employed. The findings demonstrated that the suggested strategy is both practical and accurate. The method with augmentation produces the best results with a total data set of 9000 face images, a buffer size of 10000, and epochs of 5, producing the minimum loss of 0.002, recall of 0.996, the precision of 0.999, and F1-score of 0.672. The proposed method gets the best accuracy of 98% with test data. The Siamese CNN model is successfully implemented in Python, and a user interface and executables are built using the Kivy framework.
A compact miniaturized star fractal antenna for modern wireless applications Ibrahime Hassan Nejdi; Aziz El Fatimi; Youssef Rhazi; Mustapha Ait Lafkih; Seddik Bri; A. V. Senthil Kumar
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp785-793

Abstract

In this paper, six-band resonant fractal antenna architecture is proposed and fabricated. The ultimate shape is established after six iterations. The resonator is starshaped, and each iteration, a hexadecagon shape from the resonator is subtracted. The antenna is designed and calculated by the numerical simulation based on the finite element method (ANSYS HFSS) and finite integration technique (CST studio). The experimental measurements were performed by the vector network analyzer AVR ROHDE AND SCHWARZ ZVB20. The gain is 4.85 dB, and the bandwidth is 0.33 GHz. The antenna’s structure allows it to work effectively in the GSM, DCS, LTE, WiMAX, WLAN, and C bands. The designed patch has a compact size of (75×75×1.6) mm3 uses as a support the FR-4 substrate for wireless equipment.
Hybridization of zero forcing-minimum mean square error equalizer in multiple input multiple output system Damilare O. Akande; Zachaeus K. Adeyemo; Olakunle O. Arowolo; Olasunkanmi F. Oseni; Oluwole O. Obanisola
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 2: May 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i2.pp836-845

Abstract

Transmission of high data rate over multipath environment is associated with many wireless applications. However, this transmission results in high delay which leads to ISI distortion and causes high error. The existing LE in MIMO systems such as ZF equalizer used in addressing this problem reduces the ISI distortion completely but results in noise amplification. Likewise, MMSE equalizer only reduces the noise but cannot eliminate ISI. Therefore, this paper proposed a hybrid LE for Wi-Fi over Weibull fading channel. The hybridized ZF-MMSE equalizer was developed using conventional ZF and MMSE equalizers. Digital transmitted signal propagated over Weibull fading channel is received at the receiver through multiple antennas and then combined using MRC. The combined signal is then equalized using hybrid ZF-MMSE to eliminate both the ISI and the amplified noise. The developed model was simulated in MATLAB software environment and evaluation was performed using BER and Pout. The results obtained revealed that the hybrid ZF-MMSE equalizer gave better performance over existing equalizers in a MIMO system. Therefore, the proposed equalizer will help improve the performance of the Wi-Fi technology.

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