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INDONESIA
Indonesian Journal of Electrical Engineering and Informatics (IJEEI)
Published by IAES Indonesia Section and Partners
ISSN : 20893272     EISSN : -     DOI : -
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is a peer reviewed International Journal in English published four issues per year (March, June, September and December). The aim of Indonesian Journal of Electrical Engineering and Informatics (IJEEI) is to publish high-quality articles dedicated to all aspects of the latest outstanding developments in the field of electrical engineering. Its scope encompasses the engineering of Telecommunication and Information Technology, Applied Computing & Computer, Instrumentation & Control, Electrical (Power), Electronics, and Informatics.
Arjuna Subject : -
Articles 17 Documents
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Search results for , issue "Vol 12, No 2: June 2024" : 17 Documents clear
Performance Enhancement of Decode and Forward Relaying Network in a Log- normal Fading Channel using Diversity Technique I, Ojo Samson; O, Abolade Robert; L, Alagbe Oluwaseun; A, Ojerinde Idowu; O, Tooki Oluwaseun
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.3846

Abstract

The demand for wireless communication services is increasing daily due to several emerging applications of wireless communication system. However, the services provided by wireless communication is affected by obstruction along the path of propagation resulting in scattering of signal at the receiver. Decode and Forward (DF) relaying network used in addressing the problem also suffer from signal outage at the destination due to inability of relay to decode the transmitted signal at the relay node. Hence, in this paper, performance enhancement of DF relaying network is proposed using Time Diversity (TD) at the source with hybrid Threshold Combiner and Equal Gain Combiner (TC-EGC) at the destination. The various copies of the transmitted signal are received at the DF relay node to carry out relay selection by selecting relay with signal strength greater than the set threshold of 3 dB. The selected relays decode and re-encode the received signal before been propagated to the destination. The various copies of the signal received at the destination with varying paths ‘L’ (2, 3 and 4) are combined using TC-EGC. Mathematical expressions of Outage Probability (OP) and Bit Error Rate (BER) for the proposed technique are derived using Probability Density Function (PDF) of the signal received. The proposed DF technique is simulated using MATLAB R2018a and validated using OP and BER by comparing with the conventional DF cooperative relaying network. The proposed technique improved the performance of conventional DF cooperative relaying network with reduced BER and OP.
A Simple Lyapunov Function Based Control Strategy for Coordinated Transient Stability Enhancement of Power Systems Muluh, Fombu Andrew; Sanjong Dagang, Clotaire Thierry; Jean Pierre, Pesdjock Mathieu; Lionel Leroy, Sonfack; Godpromesse, Kenne
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5489

Abstract

Transient stability is still a serious impediment in power system operation due to their highly nonlinear nature. Over the last decades, a vast number of diverse nonlinear control algorithms for sub-controllers located at the generator subsystem and transmission lines have been developed to boost power system stability. However, for an effective and feasible operation of these power systems, coordination of these sub-controllers is very essential. In this paper, a simple direct Lyapunov based approach for coordinated control is proposed for global enhancement of power system stability. The proposed control scheme is achieved through the coordination of Lyapunov based decentralized steam valve, excitation and SSSC adaptive controllers. To test the efficacy of the proposed scheme, several comparisons in multi-machine fault scenarios with other design coordinated approaches are presented. Numerical simulations demonstrate the swiftness and efficacy of the proposed control scheme in boosting global stability.
Optimal Power Flow with Integrated Large Scale PV Systems: Case of the Algerian solar field Mallem, Aicha; Boudebbouz, Omar
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5465

Abstract

The integration of large-scale solar-photovoltaic generation in the traditional power system complicates the optimal power flow (OPF) problem formulation. In the present paper, the OPF based on the quadratic and cubic fuel cost functions integrating solar energy potential of the south of Algeria is presented. Solar energy has a stochastic behavior described in the proposed methodology by the Beta probability distribution function (βPDF). The corresponding objective functions consider the penalty and reserve costs of large-scale solar-photovoltaic generations. The proposed OPF is solved by particle swarm optimization (PSO) algorithm. Computer simulations have been performed on an Algerian 59 bus test system considering some candidates solar energy source emplacements. The comparison between OPF solutions based on the two aforementioned cost functions has been established. The cubic fuel cost function case shows more environmental pollution reduction as well as satisfying interconnected power demands. Thanks to the PSO algorithm properties used for the OPF resolution, the Algerian solar field seems to be a good opportunity for large-scale solarphotovoltaic generation installations in an oligopolistic and eco-friendly sense.
Examining the ability of Advanced Systems of Wireless Communication Enhanced by IRS Technology Razzaque, Md. Abdur; Mahmud, Ashek Raihan; Islam, Md. Shariful
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5496

Abstract

Intelligent Reflecting Surfaces (IRSs) represents a pivotal component of technology, facilitating the enhancement of wireless communication performance and the manipulation of electromagnetic propagation environment. IRS technology has the remarkable capability to transform wireless channels from highly probabilistic to notably deterministic, effectively mitigating the substantial losses encountered in the millimeterwave (mmWave) band. Our analysis emphasizes how this innovative technology has ushered in a new era in wireless communications. Within the scope of this study, we delved into investigating the effectiveness of IRSassisted wireless transmissions across various scenarios, encompassing both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions. Our investigation involved the simulation of a 32×32 IRS array with a wavelength of 1 meter and an incident angle of 45 degrees. By manipulating the phase shifts of individual IRS elements, we examined their impact on achievable data rates concerning the number of elements. We also explored the relationship between throughput and separation distances, highlighting the significance of IRS placement in achieving optimal data rates. Channel capacity analysis was conducted for single IRS configurations with 50 and 100 elements, as well as dual IRS setups, shedding light on the capacity improvements achievable in different arrangements. Additionally, our study delved into Bit Error Rate (BER) performance in cooperative doubled IRS-aided wireless communication, employing a range of digital modulation techniques across various Signal-to-Noise Ratio (SNR) levels. This insight offers a valuable perspective on the reliability of IRS-aided systems across diverse modulation schemes. We also undertook a comprehensive Spectral Efficiency (SE) analysis, investigating IRS-assisted Multiple-Input, Single-Output (MISO) and Multiple-Input, Multiple-Output (MIMO) communications using various modulation schemes. Finally, we examined path loss characteristics across indoor encompassing different environments, especially at 20 GHz and 28 GHz using vertical to vertical (V-V) polarization. The culmination of this thorough simulation study underscores the tremendous potential of IRS technology in revolutionizing wireless communication across diverse scenarios, offering invaluable insights for future design and development endeavors.
Forest fire risk monitoring using fuzzy logic and IoT technology Sahour, Abdelhakim; Boumehrez, Farouk; Maamri, Fouzia; Djellab, Hanane; Abdelali, Bakhouche
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5242

Abstract

Forest fire is one of the leading causes of ecological damage and environmental problems. This work aims to develop a forest fire risk monitoring system in which an artificial intelligence technique, fuzzy logic, has been used to determine the forest method risk (temperature, relative humidity, and wind speed). Fuzzy set theory implements categories or groupings of data whose boundaries are not clearly defined (i.e. fuzzy), consisting of rule bases, membership functions, and inference methods. We also use wireless sensor networks (WSN) and Internet of Things (IoT) technologies. In order to collect environmental information through WSN based environmental sensors, the collected information is transmitted to a database on a server through an Internet connection. Users can monitor the saved data using an internet browser in each whey. This provides the ability to analyze detailed data and then take the necessary precautions to protect threatened forests.
Classification of Cardiovascular Disease Based on Lifestyle Using Random Forest and Logistic Regression Methods Bietrosula, Ajyan Brava; Werdiningsih, Indah; Wuriyanto, Eto
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5388

Abstract

Cardiovascular disease is a non-communicable disease caused by a disturbance in the function of the heart or blood vessels. According to WHO country profile data released in 2018 regarding non-communicable diseases, cardiovascular disease is the highest cause of death in Indonesia. This study aims to classify cardiovascular disease based on lifestyle using the Random Forest and Logistic Regression methods. In the classification process with the Random Forest and Logistic Regression machine learning methods, a combination of parameters from each machine learning method will be tested to see which parameter combination is the best for processing and classifying cardiovascular disease datasets. The dataset used in this research is obtained from Kaggle called Cardiovascular Disease. The dataset was processed through several pre-processing stages, namely missing value imputation, outlier detection, and extreme data checking. After going through the preprocessing process, the amount of data that entered the classification process was 62478 rows of data with 13 attributes or columns, namely age, height, weight, gender, systolic blood pressure, diastolic blood pressure, cholesterol, glucose, smoking, alcohol intake, physical activity, and cardiovascular disease. Dividing the dataset into different percentage distributions of training data and testing data was also tested to see the difference in classification performance of the two methods. The division of training data was 90% and testing data is 10%. The results obtained from this study were the Logistic Regression method had better accuracy results of 73.07% compared to Random Forest with an accuracy result of 71.87%.
A 76 GHz Millimeter-Wave Marine Radar Antenna Design Ahmed, M. F.; Elshamy, M. A.; Shaalan, A. A.
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5512

Abstract

In this work, a 76 GHz microstrip antenna array is proposed for usage in the mm-wave Marine radar application. Millimeter-wave radars are commonly used in automotive applications and a lot of effort is made in this way but it is also can be used in marine applications as they work robustly in bad weather conditions such as fog, dust, smog, smoke, and water vapor. So, it will be very helpful in marine applications. The proposed array antenna is a corporate Series feed 24×8 antenna array that has achieved a return loss of -26.4 dB, a gain of 23.5dBi, bandwidth of 5.2 GHz, and sidelobe levels of -21.4 dB in Hplane and -14 dB in E-plane. This antenna array's 3dB angular width equals 10.9 ° in the H-plane and 5.9 ° in the E-plane. That makes it a suitable choice for the mm-wave marine radar antenna. The final design of the antenna is acceptable compared with another previous work, making this design more considerable as will be shown. Also, an antenna array with 3 transmitters and 4 receivers is presented. Each antenna is a 24-element. the Dolph-Chebyshev technique is utilized to taper the patches. The antenna has been manufactured, and the results of the simulation are confirmed by the experimental measurements.
Classification of Darknet Traffic Using the AdaBoost Classifier Method Sari, Rizky Elinda; Stiawan, Deris; Afifah, Nurul; Idris, Mohd. Yazid; Budiarto, Rahmat
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5543

Abstract

Darknet is famous for its ability to provide anonymity which is often used for illegal activities. A security monitor report from BSSN highlights that 290.556 credential data from institution in Indonesia have been exposed on the darknet. Classification techniques are important for studying and identifying darknet traffic. This study proposes the utilization of the AdaBoost Classifier in darknet classification. The use of variable estimator values significantly impact classification results. The best performance was obtained with an estimator value of 500 with an accuracy of 99.70%. The contribution of this research lies in the development of classification models and the evaluation of AdaBoost models in the context of darknet traffic classification.
Fractal Analysis of Time Domain Dielectric Response to Reduce Complexity of Insulation Condition Diagnosis Methodology Sayais, Sachin; Banerjee, Chandra Madhab; Baral, Arijit
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.4964

Abstract

The health of cellulosic insulation, present in a power transformer, continuously degrades due to its exposure to paper moisture and high temperature. The moisture content of such insulation further accelerates the ageing phenomena. Recent developments made in the field of power transformer insulation diagnosis show that conditionbased maintenance of power transformers is more important rather than time-based maintenance. On the other hand, utilities always prefer to monitor the condition of power transformers in short measurement time. The present work proposes a fractal analysisbased condition monitoring technique. The method utilizes only a 600 s measured profile of polarization current. This paper estimates various ageing-sensitive performance parameters evaluated from fractal features for insulation diagnosis. The suggested technique can be used in a non-intrusive way to estimate performance measures such as %pm and paper conductivity. With the least amount of shutdown time, this technique quickly assesses the insulating state of power transformers. This strategy has shown to be more successful than existing approaches for monitoring insulation status.
A Translation Framework for Cross Language Information Retrieval in Tamil and Malayalam Vel S., Sakthi; R, Priya
Indonesian Journal of Electrical Engineering and Informatics (IJEEI) Vol 12, No 2: June 2024
Publisher : IAES Indonesian Section

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.52549/ijeei.v12i2.5172

Abstract

Cross Language Information Retrieval (CLIR) stands as an essential element in multilingual information accessibility, enabling users to obtain relevant information even when the query language and the language of the documents diverge. This paper proposes a translation framework for CLIR in Tamil and Malayalam, two Dravidian languages widely spoken in South India. Different challenges prevail in CLIR of these languages due to their linguistic differences, translation equivalence, mapping source to target languages, semantic equivalence, limited dataset and tools for ongoing research in this domain. The proposed methodology resolves some of the issues around training of a corpus utilizing a Long Short-Term Memory (LSTM) based encoder-decoder translation model. The study incorporates two bilingual parallel corpora comprising 373 sentences pairs each. Evaluation of the model's accuracy is conducted by equivalency its translations against reference translations using the Bilingual Evaluation Understudy (BLEU Score). Furthermore, BLEU scores obtained from proposed LSTM-based encoder-decoder model is compared with those from Google Translate. The findings reveal that the LSTM model attains an average BLEU score of 0.933, where, performance of Google Translate, achieved a score of 0.813. Finally, the study conducts a comparative analysis with selected CLIR models in different languages, to evaluate the overall performance of the proposed approach.

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