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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 9,174 Documents
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Solar panels overheating protection: a review Imad Laabab; Said Ziani; Abdellah Benami
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp49-55

Abstract

Reduced energy consumption is a direct result of building optimization. Solar panels and heat detectors can provide the necessary power. After years of refinement and development, methods for regulating solar panels' output are finally finding their way into everyday life, where they are having a dramatic impact on the foundations of sustainability. This document provides an up-to-date assessment of several strategies for preventing solar panels from overheating, all of which serve to boost their efficiency and prolong their service life. It begins with a brief background on protection technologies before moving on to a survey of recently filed patent applications that address this topic. The study concludes with a proposed assessment of the strengths and shortcomings of these safeguards. We anticipate that the information included in this review paper will be an invaluable tool for scholars and researchers.
Lung cancer detection using image processing and deep learning Asraa A. Abd Al-Ameer; Ghufran Abdulameer Hussien; Hajer. A. Al Ameri
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 2: November 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i2.pp987-993

Abstract

This project is about the detection of lung cancer by training a model of deep neural networks using histopathological lung cancer tissue images. Deferent models have been proposed for detecting lung cancer cells automatically involving Inception V3, Random Forest, and convolutional neural network (CNN). The deep convolutional neural network has been trained to extract important features that facilitate build detection and diagnosis of lung cancer cells more efficiently and accurately. The proposed method in this project has accomplished promising and satisfactory results in terms of accuracy, precision, recall, F-score, and specificity measure in lung cancer detection. Furthermore, it has been applied on dataset which contains 178,000 photos. The accuracy values that are obtained are accuracy 97.09%, precision 96.89%, recall 97.31%, F-score measure 97.09%, and specificity measure 96.88%.
Improved services traceability and management of a food value chain using block-chain network: a case of Nigeria Maureen Ifeanyi Akazue; Rume Elizabeth Yoro; Bridget Ogheneovo Malasowe; Obinna Nwankwo; Arnold Arnold Ojugo
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1623-1633

Abstract

Competitive asset markets and increased globalization have continued to ripple the food value chain with complex dynamics, which has led to a range of challenges such as food safety and quality, traceability, and overall supply chain inefficiency. These have further continued to endanger the general well-being of society. With rice as a staple food in Nigeria, the rice food supply value chain consists of a series of tasks, processes, and activities that are linked together from freshly harvested products to consumer demand and supply. Study advances the SmartRice, a sensor-based block-chain framework that decentralizes as well as provides a decision-support for the food supply value chain process by first ensuring that accurate data of harvested goods are reported, and passed on to a chain. The study advances a decentralized framework to eliminate various forms of fraud rippled across the existing centralized system, minimize corruption through its sensor-based layered model as well as minimize the error in reported data along the value chain.
Application of fuzzy logic technique to track maximum power point in photovoltaic systems Kshirod Kumar Rout; Debani Prasad Mishra; Sivkumar Mishra; Gangavaram Teja Rishitha; Surender Reddy Salkuti
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp101-109

Abstract

The use of photovoltaic (PV) systems for generating electric power is increasing in our everyday lives but since the generated voltage and current vary non linearly it has been very difficult to trace the maximum power point (MPP) of the PV systems so to overcome with this problem many power tracking methods were introduced out of which fuzzy logic technique was found to be one of the easy and efficient maximum power point tracking (MPPT) method. In this paper, various MPPT algorithms are observed how they help in improving the efficiency of PV systems by adjusting the duty ratio of the power interface, and also understand why the fuzzy logic control (FLC) technique is preferred over other algorithms. The system was established using MATLAB/Simulink.
A study on uncertain fixed charge bi-objective 4-dimensional transportation problems under budget constraints A. N Revathi; S. Mohanaselvi
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 2: February 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i2.pp1075-1087

Abstract

Generally, in traditional transportation problems, single items are transported from a set of origins to a set of destinations in such a way that the transportation cost is minimized. To face the challenges that arise in modelling transportation problem various parameters are to be considered. In this work to provide an optimal transportation policy to the decision maker, we have studied a fixed-charge bi-objective multi-product 4-dimensional transportation problem with vehicle speed under budget constraints under uncertain environment. The objective of the proposed model is to have the maximum profit with the minimum time taken of transporting the goods. An equivalent deterministic model of the proposed model is obtained to deal the uncertain variable using expected value-chance constraint properties on uncertainty theory and its compromise solution is obtained by using the goal programming technique. A numerical example is discussed to provide more clarity on the proposed model.
Human visualization system based intensive contrast improvement of the collected COVID-19 images Bashra Kadhim Oleiwi; Layla H. Abood; Maad Issa Al Tameemi
Indonesian Journal of Electrical Engineering and Computer Science Vol 27, No 3: September 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v27.i3.pp1502-1508

Abstract

Enhancement and color correction of images play an important role and can be considered as one of the fundamental and basic operations in image analysis for the purpose of speeding up the diagnosis of the medical images. Improving the quality and contrast of the medical image is the basic requirement for clinicians for obtaining an accurate and accurate medical diagnosis. Thus, getting a clear X-ray image reduces the effort and time-wasting. In this study a new idea will be applied for improving image contrast of the collected COVID-19 X-ray images, this idea is based on using Wiener filter, multilevel of histogram equalization (HE) technique with OpenCV library and then using contrast limited adaptive histogram equalization (CLAHE) techniques with OpenCV library. The proposed methodology programmed in MATLAB software and then implemented using Rasperry Pi 3 model B. The size and resolution of images are different as inputted images and this difference succeeded in proving the strength of the proposed idea. The collected X-ray images have undergone experiential evaluations which clearly showed the effective performance of the proposed methodology.
Mobile application with business intelligence to optimize the control process of tourist agencies Luis Angel Valenzuela Ygnacio; Margarita Giraldo Retuerto; Laberiano Andrade-Arenas
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1708-1718

Abstract

Currently, tourism companies do not have a strict control of clients, drivers, buses, guides and tickets; Drivers are known to drive at excessive speed and put their lives and the lives of their customers at risk, this occurs because drivers want to gain more passengers or race with a car from the same company. For this reason, the research work aims to optimize the travel control process for tourism companies by applying business intelligence. The kimball methodology was used, which allows making a dimensional model with dimensions and a central table of the process or event that occurs in real time, tourism companies would be benefiting since in decision-making in the field of travel control, they would have the most relevant data. In addition, users are also beneficiaries, clients who minimize risks when acquiring the tourism service, this would increase more profits for the tourism company and increase its clientele.
Design of photovoltaic system for public school building Muhammad Abdillah; Fathan Mujahid Satria; Nita Indriani Pertiwi; Herlambang Setiadi
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 1: January 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i1.pp56-65

Abstract

The increase in energy needs to support sustainable development will trigger a large additional power supply. Unfortunately, a current energy source is mostly produced by fossil fuels. This condition can affect the increase of global warming and climate change. Nowadays, many countries including Indonesia are aware of the effect of the use of fossil fuels on environmental devastation. Therefore, the use of clean energy gets more attention from many countries since its energy source is unlimited and harvested from nature. One of the clean energy sources that are widely utilized over the world is photovoltaic (PV). PV is an appropriate clean energy technology to be utilized in Indonesia since this country lies on the equator line and gets solar irradiance over the year. This paper proposed the design of PV systems for a public-school building. These PV schemes proposed in this study are classified into off-grid, on-grid, and hybrid PV systems. From the simulation results, it is shown that the hybrid PV system with energy supplied by PT. PLN (State Electricity Company) results in the highest saving annual cost and provides an environmentally friendly energy source for public-school buildings.
Simulation and analysis of the distributed photovoltaic generation systems based on DIgSILENT power factory Majli Nema Hawas; Ihsan Jabbar Hasan; Mohannad Jabbar Mnati
Indonesian Journal of Electrical Engineering and Computer Science Vol 28, No 3: December 2022
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v28.i3.pp1227-1238

Abstract

The voltage stability of the system has become an important component for the steady and dependable functioning of the power system as a result of multiple blackouts around the world (particularly in Iraq). Distributed photovoltaic systems are a subset of decentralized power generating systems that generate electricity using renewable energy sources like solar cells, wind turbines, and water power plants. In order to size a solar-grid-connected home system properly and to confirm the impact of photovoltaics on the system, this article will also do a steady-state analysis. The heating and cooling loads were taken into account when evaluating the residential load profile. With the help of predicted energy use, the photovoltaic (PV) system was sized. The solar system's power output was calculated, and the key variables affecting system performance were examined. The DigSilent power factory 15.2 was used to simulate all of the investigations. This article achieves better system stability outcomes.
Automatic control speed of vehicles near schools and colleges Zahraa Niema Kamal; Ali Rashid Ramul; Ahmed Fahem Al-Baghdadi; Hawraa Neama Jasim
Indonesian Journal of Electrical Engineering and Computer Science Vol 29, No 3: March 2023
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v29.i3.pp1423-1429

Abstract

Presently, accidents are increasing because people drive very quickly, therefore we have lost important lives as a result of simple driving errors near schools, colleges, and hospital zones. So, the highway authority has placed signboards in such spots to prevent similar accidents and notify drivers and manage their vehicle speed. However, it is sometimes possible to see that type of signboard, and there is a risk of an accident. The major aim of this project is to create a smart display controller that can control the vehicle's speed to prevent road accidents caused by vehicles driving too fast in an area where it is prohibited. The project is composed of two components: a transmitter unit (zone status) and a receiver unit for speed display and control. A transmitter unit is a wireless type (HC-12 wireless transceiver module), which sends signals and controls the vehicle’s receiver unit (HC-12 wireless transceiver module). A receiver unit receives data from the transmitter and analyzes the data. The controller automatically reduces the vehicle’s speed to the specified speed due to the data transfer from the transmitter to the receiver. This project supports many sustainable development goals (SDGs), especially the fourth goal "quality education" and the ninth goal industry, innovation, and infrastructure ".

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