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INDONESIA
Mechatronics, Electrical Power, and Vehicular Technology
Published by Lembaga Ilmu Pengetahuan Indonesia
ISSN : 20873379     EISSN : 20886985     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Mechatronics, Electrical Power, and Vehicular Technology (hence MEV) is a journal aims to be a leading peer-reviewed platform and an authoritative source of information. We publish original research papers, review articles and case studies focused on mechatronics, electrical power, and vehicular technology as well as related topics. All papers are peer-reviewed by at least two referees. MEV is published and imprinted by Research Center for Electrical Power and Mechatronics - Indonesian Institute of Sciences and managed to be issued twice in every volume. For every edition, the online edition is published earlier than the print edition.
Arjuna Subject : -
Articles 613 Documents
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Distracted driver behavior recognition using modified capsule networks Kadar, Jimmy Abdel; Dewi, Margareta Aprilia Kusuma; Suryawati, Endang; Heryana, Ana; Zilfan, Vicky; Kusumo, Budiarianto Suryo; Yuwana, Raden Sandra; Supianto, Ahmad Afif; Pratiwi, Hasih; Pardede, Hilman Ferdinandus
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.177-185

Abstract

Human activity recognition (HAR) is an increasingly active study field within the computer vision community. In HAR, driver behavior can be detected to ensure safe travel. Detect driver behaviors using a capsule network with leave-one-subject-out validation. The study was done using CapsNet with leave-one-subject-out validation to identify driving habits. The proposed method in this study consists of two parts, namely encoder and decoder. The encoder used in this study modifies Sabour’s capsule network architecture by adding a convolution layer before going to the primary capsule layer. The proposed method is evaluated using a primary dataset with 10 classes and 300 images for each class. The dataset is split based on hold-out validation and leave-one-subject-out validation. The resulting models were then compared to conventional CNN architecture. The objective of the research is to identify driving behavior. In this study, the proposed method results an accuracy rate of 97.83 % in the split dataset using hold-out validation. However, the accuracy decreased by 53.11 % when the proposed method was used on a split dataset using leave-one-subject-out validation. This is because the proposed method extracts all features including the attributes of each participant contained in the input image (user-independent). Thus, the resulting model in this study tends to overfit.
Back Cover MEV Vol 15 Iss 1 Pikra, Ghalya
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.1026

Abstract

Active power compensation circuit for resonance mitigation and harmonic reduction in microgrid system Antar, Rakan Khalil; Saied, Basil Mohammed
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 1 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.822

Abstract

The nature and behavior of capacitors, transformers, inductors, active compensators, and non-linear loads can produce power resonance. Unfortunately, the presence of a resonance phenomenon can have a negative impact on system stability and lead to catastrophic power system failures. Therefore, even when using modern or conventional techniques to enhance total harmonic distortion (THD) or improve input power factor (IPF), it is necessary to avoid resonance. An active power compensation circuit (APCC) is proposed and designed to function with two categories of linear/non-linear loads. The APCC has been implemented and regulated using an adjusted pulse width modulation technique. The aim of the suggested APCC is to minimize AC side distortions, improve the IPF, and mitigate harmonics resonance at the same time. The simulation results demonstrate that the proposed APCC investigates the aim function of this study by absorbing harmonics, correcting IPF, and eliminating resonance problems under both transient and steady-state operating conditions. The supply voltage and current THD values for the first power circuit type are reduced by 96.7 % and 96.3 %, respectively, at α=30°. Meanwhile, for the second power circuit, the THD is reduced by 91.92 % and 90.4 %. Also, the IPF changed for the first and second power circuits from 0.72 and 0.86 to almost unity. These results demonstrated the effective performance of the APCC circuit and controller in reducing power harmonics, eliminating power resonance, and modifying power factors.
The influence of battery-powered engine on the reduction of carbon dioxide production from fishing boats Octaviani, Nilam Sari; Waskito, Dwitya Harits; Iskendar, Iskendar; Muis, Abdul; Fuadi, Noor Muhammad Ridha; Muhajirin, Muhajirin; Palebangan, Hendra; Ismoyo, Kunto; Kartikasari, Dewi; Gutami, Nanda Itohasi; Ajidarmo, Kusno
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 14, No 2 (2023)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2023.v14.208-214

Abstract

Several technologies are currently being applied in the maritime industry to reduce greenhouse gas (GHG) emissions. An example is the implementation of an electric propulsion system with a battery charged using a renewable energy source. Meanwhile, it is important to analyze the energy demand and the quantity of emissions reduced in a vessel after installing this system. Therefore, this study focused on analyzing the energy demand and emissions produced on fishing boats, specifically the “Sandeq” fishing boats in West Sulawesi. The primary objective was to quantify the carbon dioxide emissions reduced after the conventional engine of the vessel was replaced with an electric propulsion system. Moreover, the energy demand of the boat was estimated by analyzing the daily speed, length of voyage, and engine capacity. The results showed that six batteries were required to provide the power needed for daily operation. Furthermore, the electric propulsion system was able to reduce CO2 emission by 7.94 tons annually per ship, leading to the reduction of fuel consumption and emission taxes to approximately 10 million Rupiah annually. These results were expected to encourage stakeholders to promote the transition from conventional diesel engines to electric-powered engines.
Design of switched reluctance motor as actuator in an end-effector-based wrist rehabilitation robot Azhari, Budi; Hikmawan, Muhammad Fathul; Nugraha, Aditya Sukma; Yazid, Edwar; Pakha, Aji Nasirohman; Baskoro, Catur Hilman Adritya Haryo Bhakti; Rahmat, Rahmat; Ramadiansyah, Mohamad Luthfi
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.1109

Abstract

The non-communicable diseases have become the top cause of global mortality. One of them is stroke, which also become the first cause of disability worldwide. To help rehabilitate the upper extremities function of stroke survivors, a rehabilitation aid robot is developed, also to bridge the gap between patient and medical staff numbers. An end-effector-based rehabilitation robot is one proposed device. In this case, a switched reluctance motor (SRM) can be utilized as the actuator for its simplicity, robustness, high low-speed torque, and low cost. Thus, this paper proposes a design of SRM to be used as the actuator of an end-effector-based wrist rehabilitation robot. The proposed design is made based on the required torque. To extract the outputs, calculation and simulation using finite element magnetic FEMM 4.2 are conducted. The results show that the SRM produces enough torque, according to references. Moreover, rotor tooth width reduction is not preferred, as it increases the negative torque even though it raises the saliency ratio and cuts the mass of the motor.
Identifying key barriers to electric vehicle adoption in Bangladesh: Insights from a survey Hasan, Md Mahmudul; Islam, Ashraful; Islam, Md Nahidul; Ashikujjaman, Md; Hossain, Md Amzad
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.891

Abstract

Electric vehicles (EVs) are emerging as a promising solution for reducing greenhouse gas emissions and mitigating environmental damage caused by traditional automobiles. This study examines the barriers to EV adoption in Bangladesh by focusing on various impediments, including technological, infrastructural, financial, behavioral, and external factors. Based on a survey of 111 individuals with substantial knowledge of EVs, this study explores the challenges impeding EV deployment, providing a deeper understanding of the factors that limit their widespread adoption. This research highlights that key obstacles include battery life limitations, inadequate infrastructure, high costs, and long charging durations. By assessing and prioritizing these barriers, the study offers valuable insights for administrators and policymakers to allocate resources effectively and address the most critical issues. The findings underscore the complex, multidimensional nature of EV adoption challenges in Bangladesh and provide actionable recommendations for enhancing decision-making and developing targeted policies to promote the adoption of EVs.
Event-triggered robust formation control of multi quadrotors for transmission line inspection Tamba, Tua Agustinus; Cinun, Benedictus Christo Geroda; Nazaruddin, Yul Yunazwin; Romdlony, Muhammad Zakiyullah; Hu, Bin
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.1106

Abstract

This paper proposes an event-triggered formation control scheme to manage the operation of multiple quadrotors in performing the inspection of a power transmission line. In particular, the problem of controlling such multi quadrotors to track the tower and/or cables of the transmission lines is considered. A multi-agent sliding mode control method is used for this purpose and is equipped with both a radial basis function neural network as an estimator of environmental wind disturbances, as well as an event-triggered scheduling scheme for the control execution framework. The proposed multi quadrotors control method is designed by considering the transmission tower/cable as the reference sliding surface. Simulation results are presented to illustrate the effectiveness of the proposed multi quadrotors control scheme when implemented in a case scenario of tracking the commonly-encountered shape of transmission cables. Simulation results are presented and show how the implementation of a position error-based event-triggered control enables all UAVs to track the desired position and maintain a pre-determined formation. In particular, all UAVs can minimize the tracking error within 0.05 m after reaching the desired positions since the control signal is updated if the error reaches such an error bound.
Front Cover MEV Vol 15 Iss 2 Pikra, Ghalya
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.1142

Abstract

Sustainable energy production: Performance evaluation of a generator-set using cow dung-based biogas Kusnadi, Kusnadi; Wahid, Mazlan Abdul; Yasin, Mohd Fairus Mohd; Rajani, Ahmad; Fudholi, Ahmad
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.967

Abstract

Interest in utilizing new and renewable energy sources, commonly known as bioenergy, has significantly grown in the past decade due to the mounting environmental concerns, such as air pollution, global warming, and ozone layer depletion, resulting from the accelerated consumption of fossil fuels. Biogas, derived from the anaerobic decomposition of organic materials like cow dung, presents a viable solution due to its high methane content and calorific value. This study aims to assess the performance of biogas-fueled generator sets utilizing cow dung as the raw material for biogas production. The generator set employed has a power capacity of 2,500 Watts, and various load variations ranging from 150 to 350 Watts were applied. The parameters measured include voltage, current, biogas discharge, and efficiency. The findings indicate that the generator's output power for the five load variations of 150, 200, 250, 300, and 350 Watts are 150, 226.7, 266, 298.3, and 372.3 Watts, respectively. Moreover, the fuel consumption rates range from 0.013 to 0.009 kg/minute for the 150 to 350 Watts load, respectively. Notably, the 350 Watts loading exhibits the highest efficiency compared to other load variations, with an efficiency percentage of 14.51 %. This research advances our knowledge of the useful uses of biogas in generating systems, where its use is growing.
IoT-based high-accuracy monitoring system for on-grid photovoltaic power system using NodeMCU ESP8266 and PZEM004T Wibowo, Lastoni; Wahyusari, Retno; Yuwono, Teguh; Shofia, Aina
Journal of Mechatronics, Electrical Power, and Vehicular Technology Vol 15, No 2 (2024)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55981/j.mev.2024.823

Abstract

Monitoring systems for On-Grid Photovoltaic Power Systems use IoT technology for real-time performance tracking via the Internet. Typically, these systems involve current and voltage sensors to measure Current, Voltage, Power, Energy, and Power Factor (Cos φ). However, many existing systems do not thoroughly address the accuracy of these measurements. To ensure reliability, a system must achieve measurement accuracy above 90%. This article presents an IoT-based On-Grid photovoltaic power monitoring system designed to measure electrical parameters with high accuracy. The system uses the PZEM004T sensor and NodeMCU ESP8266, which transmits data to the Blynk IoT server over an internet connection. The system's accuracy is assessed using the Mean Absolute Percentage Error (MAPE) calculation. Results show that this system achieves an accuracy of 96.37%, indicating high reliability and suitability for practical use due to its accuracy above 95%. This makes the designed system highly reliable, effective, and feasible for monitoring On-Grid Photovoltaic Power Plants.

Page 57 of 62 | Total Record : 613

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