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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 9,174 Documents
Mobility models for next generation wireless mesh network Tsehay Admassu Assegie; Tamilarasi Suresh; R. Subhashni; Deepika M
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp379-384

Abstract

Wireless mesh network (WMN) is a new trend in wireless communication promising greater flexibility, reliability, and performance over traditional wireless local area network (WLAN). Test bed analysis and emulation plays an essential role in valuation of software defined wireless network and node mobility is the prominent feature of next generation software defined wireless network. In this study, the mobility models employed for moving mobile stations in software defined wireless network are explored. Moreover, the importance of mobility model within software defined wireless mesh network for enhancing the performance through handover-based load balancing is analyzed. The mobility models for the next generation software defined wireless network are explored. Furthermore, we have presented the mobility models in the mininet-Wi-Fi test bed, and evaluated the performance of Gauss Marko’s mobility model.
A weighted group shuffled decoding for low-density parity-check codes Fatima Zahrae Zenkouar; Mustapha El Alaoui; Said Najah
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 1: January 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i1.pp375-381

Abstract

In this paper, we have developed several concepts such as the tree concept, the short cycle concept and the group shuffling concept of a propagation cycle to decrypt low-density parity-check (LDPC) codes. Thus, we proposed an algorithm based on group shuffling propagation where the probability of occurrence takes exponential form exponential factor appearance probability belief propagation-group shuffled belief propagation (EFAP-GSBP). This algorithm is used for wireless communication applications by providing improved decryption performance with low latency. To demonstrate the effectiveness of our suggested technique EFAP-GSBP, we ran numerous simulations that demonstrated that our algorithm is superior to the traditional BP/GSBP algorithm for decrypting LPDC codes in both regular and non-regular forms
Improved hybrid algorithm based on GA and local search method for asymmetrical 9-level inverter Rim Feyrouz Abdelgoui; Rachid Taleb; Abderrahim Bentaallah; Fayçal Chabni
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1309-1316

Abstract

Selective Harmonic elimination has emerged as an in-depth research method to replace traditional PWM technology. This study demonstrates the selective harmonic elimination by using a hybrid Genetic algorithm GA and local search (GA-LS) method of a uniform asymmetric multilevel inverter called USAMI That removes the higher-order harmonics defined while maintaining the fundamental voltage needed. This new technology can be implemented at any USAMI level. For example, in this article, we plan to use USAMI at 9 levels and find the optimal switching angle to remove the 5th, 7th, and 11th harmonics.
Influence of non-sinusoidal power supply on the performance of a single-phase capacitor induction motor Alyozbaky, Omar Sharaf Al-deen; Ab‐Kadir, Mohd Zainal Abidin
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1246-1257

Abstract

Harmonic is seen to be an important factor that can influence the performance of different electrical appliances. Earlier studies have regarded the non-sinusoidal power supply as the major source of the harmonic in the induction motors. In this paper, the researcher compared the results generated by a single-phase capacitor induction motor (SIM) using the sinusoidal and non-sinusoidal power supplies. The results in the study could help in comprehensively understanding the impact of the harmonic on the effective performance of the SIM machines when they were powered using a non-sinusoidal power supply. Here, the performance of the SIM when subjected to a maximum load or non-load condition were studied and determined. Furthermore, numerous experimental work was presented to validate the results of the SIM. Power analyses and spectral analysis indicated the actual difference in the overall harmonic wave distortion. It was seen that the current load increased to 89% (i.e., an increase of 11%) when the motor working from the non-sinusoidal source. This investigation highlighted the direct impact of the non-sinusoidal power source on the properties and components of the SIM machine. The vibrations measured under varying conditions and compared the results for the 2 types of power supplies.
The application of UAV images in flood detection using image segmentation techniques N. S. Ibrahim; S. M. Sharun; M. K. Osman; S. B. Mohamed; S. H. Y. S. Abdullah
Indonesian Journal of Electrical Engineering and Computer Science Vol 23, No 2: August 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v23.i2.pp1219-1226

Abstract

The application of unmanned aerial vehicle (UAV) used to capture the images of the flood areas are becoming interest of most researchers recently. This is due to its versatilities of capturing the images with low-cost and real time responses. At present, the captured images are analysed manually by human experts, which cause the task labourous, time consuming and prone toerror. This study aims to develop an UAV-based automated flood detection system. Samples of images that consist of land and river areas were capture using a camera attached to UAV to emulate flooded and non-flooded areas.The RGB and HSI colour models were utilised to represent the flood images. Two image segmentation methods were studied, which are k-mean clustering and region growing. The segmented images were validated with manually segmented (ground truth) images. Simulation results show that the RG using gray images gave better segmentation accuracy (88%) as compared to the K-mean clustering (76%). Finally, an automated flood monitoring system based on the region growing method, called flood detection structure (FDS) was developed to detect and analyse the flood severity.
Theoretical and quantitative analysis of cyanosis colouration in newborn Azmi, Nur Fatihah; Feijs, Loe; Delbressine, Frank
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1644-1651

Abstract

In this paper, the investigation on the occurrence of cyanosis’s blue colouration in newborn babies will be focused on a more detailed version of the oxyhaemoglobin’s (HbO2) and deoxyhaemoglobin’s (Hb) transmission and reflectance spectrum in the blood vessel. A quantitative analysis of cyanosis colour is based on the theory of an observer model of cyanotic skin. The proposed method formed a basis of work of colour changes to be implemented in the future cyanosis baby manikin for baby simulation area. A series of transfer functions were adopted and described by the relationship of the light propagation in human skin. As expected, results showed that the colouration of HbO2 is less saturated (bright red) in comparison to Hb (darker red) and the colouration depends on the HbO2’s and Hb’s reflectance spectrum in the blood. Meaning that, the correct CIEL_a_b_ colour values of cyanosis in real newborn babies will be quantified and later to be implemented in a cyanosis baby manikin. Despite of non-experimental methodology implemented, it is based on putting together existing knowledge from literature. In particular, the database of the absorbance spectra of HbO2 and Hb and the three-cone pigments with three different absorption spectra of the colour receptors in the human retina. The data from Scott Prahl’s Assorted Spectra and the UCL Institute of Ophthalmology’s Colour Matching Functions were retrieved with the spectral values are depending on the light’s wavelength, (_). The results of newborn’s cyanosis colour was obtained and determined both in a two- dimensional International Commission on Illumination (CIE) 1931 xy and a three-dimensional CIE L_a_b_ colour space.
A cloud computing scheduling and its evolutionary approaches Ahmed Subhi Abdalkafor; Alaa Abdalqahar Jihad; Emad Tariq Allawi
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 1: January 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i1.pp489-496

Abstract

Despite the increasing use of cloud computing technology because it offers unique features to serve its customers perfectly, exploiting the full potential is very difficult due to the many problems and challenges. Therefore, scheduling resources are one of these challenges. Researchers are still finding it difficult to determine which of the scheduling algorithms are appropriate and effective and that helps increases the performance of the system to accomplish these tasks. This paper provides a broad and detailed examination of resource scheduling algorithms in the environment of a cloud computing environment and highlights the advantages and disadvantages of some algorithms to help researchers in selecting the best algorithms to schedule a particular workload to get a satisfy a quality of service, guarantee good utilization of the cloud resources also minimizing the make-span.
Energy audit: types, scope, methodology and report structure Pankaj Sharma; Surender Reddy Salkuti; Seong-Cheol Kim
Indonesian Journal of Electrical Engineering and Computer Science Vol 22, No 1: April 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v22.i1.pp45-52

Abstract

The objective of this paper is to study various methods adopted during the energy audit. Many countries are focusing on energy, not only enhancing the tenable power generation sources but also on utilizing the power more proficiently for economic utilization. The energy audit is an important parameter for all the developing and developed countries and they focus on energy efficiency, energy quality, and energy intensity. In the industrial, residential, and commercial sectors the top operating expense is found to be are material, machine, manpower, and energy. Identification of the energy-consuming sector is the prior attention to look for the energy-saving potential and quality improvement. Implementation of an energy audit can enhance the efficiency, quality of power, reduce the tariff of bills, and reduces the wastage of energy. The need for energy audits, different types of energy audits, various types of software used, and the energy audit report structure were presented in this paper.
Towards design strong emergency and COVID-19 authentication scheme in VANET Akeel kassim leaby; A. Yassin; Mushtaq Hasson; Abdullah Rashid
Indonesian Journal of Electrical Engineering and Computer Science Vol 21, No 3: March 2021
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v21.i3.pp1808-1819

Abstract

The wide use of vehicular ad hoc networks (VANETs) in the last decade hasled many researchers to find  efficient and reliable methods to obtain the desired benefits and offer services, such as healthcare and traffic management. However, VANETs suffer from security issues represented by authentication and data integrity. In thispaper, we propose a robust  mutual authentication scheme based on elliptic curve cryptography (ECC), cryptography hash function, and a pseudonym. The  proposed work was twofold in focus: first, on healthcare in emergency cars which use VANETs, and second, on overcoming security issues, such as resisting familiar attacks (e.g. insider attacks and reply attacks). Because of the serious situation generated by the worldwide outbreak of the Covid-19 epidemic, we also found this research valuable in supporting global efforts to combat the rapid spread of this virus, by finding the safest and fastest routes to epidemic treatment centres for medical staff, assistance teams in medical  operations, fumigation control, and all work teams associated with disease control. This research attempts to contribute by proposing a special signal  used to define epidemic teams. The best route, fast route can be chosen by using VANETs infrastructure. This scheme also deals with metric security features, such as key management, data integrity, and data privacy. In the communication and computation  cost, we  noticed  that our proposed scheme  achieved  good results compared with the related works.
Efficient data sensing and monitoring model for areca nut precision farming with wireless sensor network Chandrashekarappa, Niranjan Murthy; Mysore Bhagwan, Sanjay Pande; Nagur, Kotreshi Shivabasappa
Indonesian Journal of Electrical Engineering and Computer Science Vol 25, No 3: March 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v25.i3.pp1549-1562

Abstract

Arecanut plays a prominent role in economic life in India; it produces ‘betel nut’ which is primarily used for the masticatory purpose. Nutrient’s cycle and environmental factors impact the forming, these impacts can be minimized through sensing technology i.e., wireless sensor network incorporated with internet of things (IoT). Designing of sensing technologies is considered as primary steps in achieving the arecanut production through precision agriculture; This research focuses on designing and developing an efficient monitoring mechanism named efficient data sensing and monitoring (EDSM), the proposed model will minimize the energy, reduce the false alarm rate, and enhance the detection accuracy. EDSM comprises four-step optimal sensing mechanism; first, formulate the energy consumption, further in this step the sensor device information and all the preliminary details are analyzed. Second step, data are sensed optimally, third step includes monitored and alert is generated the fourth step includes the optimization of packet size. EDSM is evaluated considering the different parameters like energy consumption and alert generation for temperature. Performance comparison is carried out with the existing model considering parameters like fault detection, false alarm detection, event detection, and event false alarm rate. Comparative analysis shows proposed methodology simply outperforms the existing model with significant improvisation.

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