cover
Article Per Year (5 Year)
All
Home Page
OAI Link
Editorial Team
Contact
Reviewer
Google Scholar
Contact Name
-
Contact Email
-
Phone
-
Journal Mail Official
-
Editorial Address
-
Location
Kota adm. jakarta selatan,
Dki jakarta
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 596 Documents
 32   33   34   35   36 
Penggunaan Extended Kalman Filter Sebagai Estimator Sikap pada Sistem Kendali Servo Visual Robot Noor Cholis Basjaruddin
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 1 (2011)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2011.v2.23-30

Abstract

Extended Kalman Filter (EKF) is the non-linear version of Kalman filter and the said filter is usually used in nonlinear state estimation. In this study EKF is applied to process the image features of a single camera mounted on the end effector of a robot. Data generated by the EKF then is to be processed to obtain the motion parameters. Simulation of visual servo control system was built with the aim to examine the use of the EKF as a pose estimator. The simulation results using Matlab show that the EKF is able to well estimate the robot pose. 
Optimized object tracking technique using Kalman filter Liana Ellen Taylor; Midriem Mirdanies; Roni Permana Saputra
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 7, No 1 (2016)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2016.v7.57-66

Abstract

This paper focused on the design of an optimized object tracking technique which would minimize the processing time required in the object detection process while maintaining accuracy in detecting the desired moving object in a cluttered scene. A Kalman filter based cropped image is used for the image detection process as the processing time is significantly less to detect the object when a search window is used that is smaller than the entire video frame. This technique was tested with various sizes of the window in the cropping process. MATLAB® was used to design and test the proposed method. This paper found that using a cropped image with 2.16 multiplied by the largest dimension of the object resulted in significantly faster processing time while still providing a high success rate of detection and a detected center of the object that was reasonably close to the actual center.
Appendix MEV Vol 03 Iss 1 Tinton Dwi Atmaja
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 3, No 1 (2012)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2012.v3.%p

Abstract

Preface MEV Vol 8 Iss 2 Dian Andriani
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 8, No 2 (2017)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2017.v8.%p

Abstract

IMU Application in Measurement of Vehicle Position and Orientation for Controlling a Pan-Tilt Mechanism Hendri Maja Saputra; Zainal Abidin; Estiko Rijanto
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 4, No 1 (2013)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2013.v4.41-50

Abstract

This paper describes a modeling and designing of inertial sensor using Inertial Measurement Unit (IMU) to measure the position and orientation of a vehicle motion. Sensor modeling is used to derive the vehicle attitude models where the sensor is attached while the sensor design is used to obtain the data as the input to control the angles of a pan-tilt mechanism with 2 degrees of freedom. Inertial sensor Phidget Spatial 3/3/3, which is a combination of 3-axis gyroscope, 3-axis accelerometer and 3-axis magnetometer, is used as the research object. Software for reading the sensor was made by using Matlab™. The result shows that the software can be applied to the sensor in the real-time reading process. The sensor readings should consider several things i.e. (a) sampling time should not be less than 32 ms and (b) deviation ratio between measurement noise (r) and process noise (q) for the parameters of Kalman filter is 1:5 (i.e. r = 0.08 and q = 0.4).
Exhaust emissions analysis of gasoline motor fueled with corncob-based bioethanol and RON 90 fuel mixture Widiyanti Widiyanti; Muhammad Alfian Mizar; Christian Asri Wicaksana; Didik Nurhadi; Kriya Mateeke Moses
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 10, No 1 (2019)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2019.v10.24-28

Abstract

One of the viable solutions to the fossil fuel energy crisis was to seek alternative sources of environmentally friendly energy with the same or better quality such as bioethanol. It was possible to produce bioethanol from organic waste, e.g., corncob. This research aimed to obtain the lowest exhaust emission levels of CO and CO2 generated from a gasoline motor that used a mixture of bioethanol containing 96 % corncob and RON 90 fuel. This research was experimental using Anova statistical data analysis method. The results showed that the lowest average of CO emissions was 0.177 vol% using E100 fuel, and the highest average was 2.649 vol% using 100 % RON 90 fuel, displaying a significant difference. The lowest average of CO2 emissions was 6.6 vol% using E100 fuel, and the highest was 7.51 vol% using 100 % RON 90 fuel, which was insignificantly different. The mixture variation with the lowest CO and CO2 emissions was E100.
Design of Vibration Absorber using Spring and Rubber for Armored Vehicle 5.56 mm Caliber Rifle Aditya Sukma Nugraha; Bagus Budiwantoro; Estiko Rijanto
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 5, No 2 (2014)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2014.v5.75-82

Abstract

This paper presents a design of vibration absorber using spring and rubber for 5.56 mm caliber rifle armored vehicle. Such a rifle is used in a Remote-Controlled Weapon System (RCWS) or a turret where it is fixed using a two degree of freedom pan-tilt mechanism. A half car lumped mass dynamic model of armored vehicles was derived. Numerical simulation was conducted using fourth order Runge Kutta method. Various types of vibration absorbers using spring and rubber with different configurations are installed in the elevation element. Vibration effects on horizontal direction, vertical direction and angular deviation of the elevation element was investigated. Three modes of fire were applied i.e. single fire, semi-automatic fire and automatic fire. From simulation results, it was concluded that the parallel configuration of damping rubber type 3, which has stiffness of 980,356.04 (N/m2) and damping coefficient of 107.37 (N.s/m), and Carbon steel spring whose stiffness coefficient is 5.547 x 106 (N/m2) provides the best vibration absorption. 
Pengembangan Sistem Kontrol Traksi Mobil Elektrik Berbasis Rekonstruksi Keadaan Kecepatan Model Roda Pratikto Pratikto; Yul Yunazid Nazaruddin; Edi Leksono; Zainal Abidin
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 1, No 2 (2010)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In  this  paper  the  development  of  electric  vehicle  traction  control  based  on  state  of  speed  reconstruction  of vehicle model that has the same acceleration condition between tire and chassis is studied. Vehicle is accelerated if the friction force takes place between tire and road. However, the traction force decreases even tends to zero on slippery road and torque input produces a large slip. Evidently, tire slip can be reduced by decreasing the applied torque to the tire. So the basic principle of the proposed method here compares the real vehicle tire speed condition with the model to determine the torque in order to reduce the slip. Tire speed is controlled in order to follow the reference value that is calculated from the model. Tire torque input then can be controlled by applying the feedback that is obtained from the difference value of speed between model and real tire. Implementation of this method on a real vehicle shows that the control method effectively controls the tire speed of vehicle to follow the reference and reducing the slip. From the experiment the control  system performance in reducing slip has the result  of 9.8% for maximum overshoot, 3.1 second for rise time, and 8 second for settling time. 
PREFACE MEV VOL 6 ISS 2 Ghalya Pikra
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 6, No 2 (2015)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2015.v6.%p

Abstract

Front Cover MEV Vol 2 No 2 Tinton Dwi Atmaja
Journal of Mechatronics, Electrical Power and Vehicular Technology Vol 2, No 2 (2011)
Publisher : National Research and Innovation Agency

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14203/j.mev.2011.v2.%p

Abstract

Page 34 of 60 | Total Record : 596

 32   33   34   35   36 

Filter by Year

2010 2025


Reset
Filter By Issues
All Issue Vol 16, No 1 (2025) Vol 15, No 2 (2024) Vol 15, No 1 (2024) Vol 14, No 2 (2023) Vol 14, No 1 (2023) Vol 13, No 2 (2022) Vol 13, No 1 (2022) Vol 12, No 2 (2021) Vol 12, No 1 (2021) Vol 11, No 2 (2020) Vol 11, No 1 (2020) Vol 10, No 2 (2019) Vol 10, No 1 (2019) Vol 9, No 2 (2018) Vol 9, No 1 (2018) Vol 8, No 2 (2017) Vol 8, No 1 (2017) Vol 7, No 2 (2016) Vol 7, No 1 (2016) Vol 6, No 2 (2015) Vol 6, No 1 (2015) Vol 5, No 2 (2014) Vol 5, No 1 (2014) Vol 4, No 2 (2013) Vol 4, No 1 (2013) Vol 3, No 2 (2012) Vol 3, No 1 (2012) Vol 2, No 2 (2011) Vol 2, No 1 (2011) Vol 1, No 2 (2010) Vol 1, No 1 (2010) More Issue