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INDONESIA
Indonesian Journal of Electrical Engineering and Computer Science
ISSN : 25024752     EISSN : 25024760     DOI : -
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Articles 64 Documents
Search results for , issue "Vol 26, No 3: June 2022" : 64 Documents clear
The application of Sugeno fuzzy to control active power load and remaining battery usage time modelling Wahyu Setyo Pambudi; Riza Agung Firmansyah; Rizal Rahmanto Issany; Ryan Yudha Adhitya; Mat Syai'in
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1266-1273

Abstract

This study aimed to propose a control scheme to optimize the active power load using the pulse-width adjustment technique and the MOSFET driver. The power used and stored in the battery is an input for the fuzzy system whose information is obtained through the current (ACS 712) and voltage sensor readings. The use of fuzzy to control the power of two 5-watt lamps is more efficient than the manual technique using an ordinary switch. This is because fuzzy only consumes 3.25 Watt/hour while the manual technique requires 5.7 Watt/hour. Based on the linear regression-based estimation, the fuzzy technique lasts ±17 hours from the initial power of 55.82 Wh, or 5.5 hours longer than the manual technique that lasts only ±11.5 hours from the initial power of 65.62 Wh. Therefore, this study adjusted the load power to extend battery life and increase solar energy use efficiency and innovations in load control based on available resources.
Development of the regional water balance regulation concept based on the geosystem approach Anatoliy A. Yamashkin; Stanislav A. Yamashkin; Milan M. Radovanovic; Natalia S. Muchkaeva; Inna S. Lyamzina
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1672-1683

Abstract

The article is devoted to solving the scientific problem of the regional water balance regulation concept development. The authors have proposed a methodology for solving the problem of the scarcity of labeled spatial data, based on the geosystem approach. A deep neural network model for the analysis of the geosystem model of the territory is proposed. An approach to the formation of ensembles of classifiers to improve the accuracy of the classification of spatial data is described. It is proved that the hierarchical structuring of geosystems optimizes diagnostics of the leading agents of physical and geographical factors interaction, patterns of spatio-temporal changes in their states, direction of metabolic processes and transformation of matter and energy development. Studies have shown that the combination of factors variety in the water balance formation forms many types of water resources conditions formation.
React: A detailed survey Varun Komperla; Deenadhayalan Pratiba; Poonam Ghuli; Ramakanthkumar Pattar
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1710-1717

Abstract

developments in technology and the ever-growing number of web applications, it has become a necessity to create fast and scalable applications to cater to the current market. There are a plethora of frameworks available for web development, and a developer must choose the most appropriate framework for their use. In this paper, a detailed analysis of the history, prominent features and advantages of React, an open-source JavaScript library is presented. A discussion on React Native, a framework for building native applications is also given. This paper has provided an insight into the reason React is the leading web development framework in the world.
Design and realization of low-cost solenoid valve remotely controlled, application in irrigation network Benbatouche, Abdelhamid; Kadri, Boufeldja
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp%p

Abstract

The remote and automated irrigation system of farmlands can avoid and minimize the waste of water and energy resources. This can be done with the remote-control of the solenoid-valves. A new Solenoid-valve was designed and built from a simple valve with a motor and switches. The remote and automated irrigation system can monitor and receive requests via SMS or web interface for controlling pump or solenoid-valves connected to the system. After each operation performed by the system, users receive notifications via SMS messages that contain the real-time status of the solenoid-valves controlled or temperature and humidity value. This system was created using Raspberry-Pi as the system control center. It has been connected to several sensors, and raspicam is used to take photo or video capture in real-time after the users’ request, and the GSM module is a communication interface used to receive requests for controlling the irrigation system or to send notifications to users. A website is also developed for consultation and control of all that it contains in the system remotely. The result of this research aims to build a secure remote and automated irrigation system including low-cost solenoid-valve with Raspberry-Pi based on control and notification via SMS and web-page.
Overlapping clustering with k-median extension algorithm: An effective approach for overlapping clustering Alvincent E. Danganan; Regina P. Arceo
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1607-1615

Abstract

Most natural world data involves overlapping communities where an object may belong to one or more clusters, referred to as overlapping clustering. However, it is worth mentioning that these algorithms have a significant drawback. Since some of the algorithm uses k-means, it also inherits the characteristics of being noise sensitive due to the arithmetic mean value which noisy data can considerably influence and affects the clustering algorithm by biasing the structure of obtained clusters. This paper proposed a new overlapping clustering algorithm named OCKMEx, which uses k-median to identify overlapping clusters in the presence of outliers. This new method aims to determine the insensitivity of the OCKMEx algorithm in locating data points that overlap even with outliers. An experimental evaluation of the algorithm was conducted wherein synthetic datasets served as a data source, and the F1 measure criterion was applied to assess the OCKMEx algorithm performance. Results indicate that the OCKMEx algorithm implementing the use of k-median performed a higher accuracy rate of 100% in identifying data points that overlap even with outliers compared to the existing k-means algorithm. The algorithm exhibited a promising performance in identifying overlapping clusters and was resistant to outliers.
Stereo matching algorithm based on combined matching cost computation and edge preserving filters Madiha Zahari; Rostam Affendi Hamzah; Nurulfajar Abd Manap; Adi Irwan Herman
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1415-1422

Abstract

The stereo matching process is one of the key areas that impact the stereo vision technologies which are commonly used in the application of three-dimensional reconstructions. The accuracy of the depth information used in three-dimensional reconstruction is directly proportional to the accuracy of the disparity obtained from stereo matching. The challenging issue in the stereo matching process is to determine the accurate corresponding point between the left image and right image, especially for image pairs that have different exposure such as different illumination and image pair with less texture region. In order to increase the accuracy of disparity value, a new stereo matching algorithm is proposed based on the combination of Sum of absolute different and census transform at matching cost computation. guided filter was used in the matching cost aggregation in order to remove noise and preserve the edge of the image. In the optimization step, the winner take all strategy is used to select the minimum matching cost. Finally, a median filter is applied to the initial disparity map for refinement purposes. The experimental results show that the algorithm is effective in reducing the error and improving the accuracy of the disparity map in different illumination regions, less textured regions and different environmental exposure.
Design of Wilkinson power divider at 28 GHz for 5G applications Nurfarhana Nabila Ridzuan; Norun Farihah Abdul Malek; Farah Nadia Mohd Isa; Md. Rafiqul Islam; Ku Chui Choon Ivan; Nidal Qasem
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1444-1450

Abstract

A power divider plays a significant function in antenna’s feeding network. Many types of power divider exist yet there are only a few existing studies of Wilkinson power dividers at high frequencies (28 GHz) for 5G communications systems. This paper presents a tapered 2-way Wilkinson power divider that operates in Malaysia's 5G wireless communication band (28 GHz). CST microwave studio is used to design, simulate, and optimize the tapered 2-way Wilkinson divider. The simulation results show resonance around 23.5-37.9 GHz. The operating frequency of 28 GHz resulted in power division with a 3.2 dB insertion loss and has an isolation of 19.21 dB. The design can be made wideband with equal power division at each output port by adding an extra resistor along the tapered line to reduce output return loss and isolation, as demonstrated in this paper.
Design of a compact and miniature band-pass filter for global positioning system applications Amal Kadiri; Abdelali Tajmouati; Jamal Zbitou; Issam Zahraoui; Mohamed Latrach
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1274-1280

Abstract

In this paper, a novel compact band pass filter (BPF) is proposed for global positioning system (GPS) applications. The proposed filter which is based on a microstrip resonator is mounted on a low cost RO4000 substrate with a dielectric constant εr=3.5, a thickness h=1.542 mm, a loss tangent tan (δ)=0.0027. It has a bandwidth from 1.55 GHz to 1.72 GHz. This filter is optimized and validated by using two electromagnetic solvers. The area occupied by this BPF is 33.6×41.24 mm2. The final circuit is a low cost BPF and can be associated with passive and active circuits due to the miniature dimensions.
Analysis of rank-based latency aware fog scheduling using validating internet of things at large scales J. Geetha; Shaguftha Zuveria Kottur; Riya Ganiga; D. S. Jayalakshmi; Tallapalli Surabhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1502-1511

Abstract

With the increase in internet of things (IoT) applications' range and scale, it is essential to test the applications before deploying them in the real world. Most common approaches utilize simulations and testbeds; however, these methods lack real-time failure scenarios and the capability to scale, respectively. A virtual environment is a suitable approach that overcomes these drawbacks further, IoT applications using cloud computing have evolved to shift some computing and storage capabilities to the edge networks for ensuring adherence to strict latency constraints for real-time applications. This led to the emergence of fog computing which provides lower latency and better security, among other advantages. As for any processing tasks, scheduling becomes a critical concern for matching the tasks with the devices having appropriate resources. This paper analyzes a hybridized fog scheduling algorithm based on a ranking approach considering latency as the main parameter. It builds a software layer for scheduling on top of the validating internet of things at large scales (VIoLET) infrastructure. The results are compared with the round-robin scheduling algorithm, and it is found that the hybridized algorithm provides closer actual latency values to the expected.
Automatic summarization of YouTube video transcription text using term frequency-inverse document frequency Rand Abdulwahid Albeer; Huda F. AL-Shahad; Hiba J. Aleqabie; Noor D. Al-shakarchy
Indonesian Journal of Electrical Engineering and Computer Science Vol 26, No 3: June 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v26.i3.pp1512-1519

Abstract

Automatic summarization is a technique for quickly introducing key information by abbreviating large sections of material. Summarization may apply to text and video with a different method to display the abstract of the subject. Natural language processing is employed in automated text summarization in this research, which applies to YouTube videos by transcribing and applying the summary stages in this study. Based on the number of words and sentences in the text, the method term frequency-inverse document frequency (TF-IDF) was used to extract the important keywords for the summary. Some videos are long and boring or take more time to display the information that sometimes finds in a few minutes. Therefore, the essence of the proposed system is to find the way to summarize the long video and introduce the important information to the user as a text with few numbers of lines to benefit the students or the researchers that have no time to spend with long videos for extract the useful data. The results have been evaluated using Rouge method on the convolutional neural network (CNN)-dailymail-master data set.

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