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 yogyakarta,
Daerah istimewa yogyakarta
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 9,199 Documents
 120   121   122   123   124 
Eulerian video magnification: a review Haider Ismael Shahadi; Hayder J. Albattat; Zaid Jabbar Al-allaq; Ahmed Toman Thahab
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 2: May 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i2.pp799-811

Abstract

Many important subtle changes in the environment are invisible to the naked human eyes. These subtle changes occur because of colour variations, such as blood flow in a human face that leads to face colour change, or motion variations, such as vena movement under human skin and vibration of buildings. The human eye requires optical microscopes to detect these variations. Alternatively, new technologies, such as high-speed imagery and computer processing, can be used to detect these variations. These computerised microscopes depend on computation rather than optical amplification to amplify subtle colour and motion changes in videos. The most popular technique to achieve computation-based microscope is the Eulerian video magnification (EVM). However, several challenges in EVM still need to be solved to meet the requirements of real time and video quality. This paper presents a comprehensive study of EVM methods and reviews the related literature. The strengths and drawbacks of existing works are discussed, and the important research fields and challenges in the area of EVM are concluded.
Misidentification of Type of Lightning Flashes in Malaysia Puteri Nur Suhaila Ab Rahman; Zikri Abadi Bharudin; Nur Hidayu Abdul Rahim
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp5938-5945

Abstract

The Lightning Detection System (LDS) system monitored by Malaysian Meteorological Service (MMS) and Tenaga Nasional Berhad (TNB) are not reliable that may due to unresolved site errors .From informal observation, Baharudin and co-workers found the data recorded by TNB was not identical to their data. In this paper,we observed about Lightning Flashes in Malaysia nearly 21 data matching the time and date of our data with data from TNB Reports that the lightning flash polarity between both data has a negative polarity, but there are differences on multiplicity. Regarding data from TNB Reports , they also noted that there was presented a total of 10 positive cloud-to-ground flash data , but we did not find any  data positive cloud-to-ground flash data. However, the data we have found a total of 191 data were presented from cloud flash but TNB did not record any cloud flash.
Reliability and Security Analysis on Two-Cell Dynamic Redundant System Hongsheng Su
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 5: May 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Based on analysis on reliability and security on three types of two-cell dynamic redundant systems which has been widely applied in modern railway signal system, whose isomorphic Markov model was established in this paper. During modeling several important factors, including common-cause failure, coverage of diagnostic systems, online maintainability, and periodic inspection maintenance, and as well as many failure modes, were considered, which made the established model more credible. Through analysis and calculation on reliability and security indexes of the three types of two-module dynamic redundant structures, the paper acquires a significant conclusion, i.e., the safety and reliability of the kind of structure possesses an upper limit, and can not be inordinately improved through the hardware and software comparison methods under the failure and repairing rate fixed. Finally, the paper performs the simulation investigations, and compares the calculation results of the three redundant systems, and analysis each advantages and disadvantages, and gives out each application scope, which provides a theoretical technical support for the railway signal equipments selection. DOI: http://dx.doi.org/10.11591/telkomnika.v11i5.2492
Fine-Grained Overhead Characterisation of Cross-ISA DBTO for Multicore Processor Joo-On Ooi; Fawnizu Azmadi Hussin; Mohd. Nordin Zakaria
Indonesian Journal of Electrical Engineering and Computer Science Vol 10, No 3: June 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v10.i3.pp1036-1044

Abstract

The emergence of modern portable software, start to behaved hybrid short-long running combined applications, in which an active apps may invoked others to fulfill task requirements. Thus the implementation of Dynamic Translation and Optimisation (DBTO) into heterogeneous multicore system-on-chip (SoC) will require careful re-study, to ensure efficient usage of most available cores. In order to improve efficiency in supporting this Instruction Set Architecture (ISA) diversity of computing platforms, mix modes of statically and dynamically Binary Translation and Optimization system, or DBTO, need to utilize concurrent compilation techniques, to better service the combined applications processing. This research deep dived into finer-grained DBTO overhead analysis, to provide categorization and characterization of overhead sources in breakdown stages during concurrent instruction processing. A dual-engine of translation and optimization is constructed for finer managemnt of start-up overheads. Helper functions, i.e. LoadLink/StoreCondition (LL/SC) are derived from atomic instructions, to create multiple helper thread supported by multiple host cores, for better instruction translation and optimization operation concurrently. Our experiment platform, evaluated through PARSEC-3.0 benchmark suite, shows performance improvement approaching 2.0x for apps based programs and 1.25x for kernel based programs, for x86 to X86-64 emulation. This technique possess great potential and serve as research based platform for future binary translation technique development, including adaptive method.
Application of Wireless Sensor Network and GPRS Technology in development of Remote Monitoring System Mengxing Chang; Qiuhong Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 13, No 1: January 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The paper presents application of wireless sensor network and GPRS technolog in development of remote monitoring system. The remote monitoring system harnesses embedded technology, wireless sensor network and the GPRS mobile communication technology, to solve the problem of data transmission between data acquisition system and control equipment. This system is real-time, high reliability. This paper chooses ZigBee as protocol based on wireless sensor network. Wireless monitoring system using GPRS technology enables real-time, reliability has been greatly improved. Finally the successful application of intelligent home furnishing system proves the feasibility of this scheme. DOI: http://dx.doi.org/10.11591/telkomnika.v13i1.6894 
Optimum Software Aging Prediction and Rejuvenation Model for Virtualized Environment I M Umesh; G N Srinivasan
Indonesian Journal of Electrical Engineering and Computer Science Vol 3, No 3: September 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v3.i3.pp572-578

Abstract

Advancement in electronics and hardware has resulted in multiple softwares running on the same hardware. The result is multiuser, multitasking and virtualized environments.  However, reliability of such high performance computing systems depends both on hardware and software.  For hardware, aging can be dealt with replacement. But, software aging needs to be dealt with software only. For aging detection, a new approach using machine learning framework has been proposed in this paper. For rejuvenation, Adaptive Genetic Algorithm (A-GA) has been developed to perform live migration to avoid downtime and SLA violation. The proposed A-GA based rejuvenation controller (A-GARC) has outperformed other heuristic techniques such as Ant Colony Optimization (ACO) and best fit decreasing (BFD) for migration. Results reveal that the proposed aging forecasting method and A-GA based rejuvenation outperforms other approaches to ensure optimal system availability, minimum task migration, performance degradation and SLA violation.
An Efficient Converging Snake Algorithm for Locating Object Boundaries Atiqur Rahman; Rashed Mustafa
Indonesian Journal of Electrical Engineering and Computer Science Vol 14, No 1: April 2015
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Active contour are now established as a technique for extracting salient contours from an image. A snake is an active contour for representing object contour. Traditional snake algorithms are often used to represent the contour of a single object. A different contour search algorithm is presented in this paper that provides an efficient convergence to the object contours than both the kass et al and greedy snake algorithm (GSA).Our proposed algorithm provides a straightforward approach for snake contour rapid splitting and connection, which usually cannot be gracefully handle by traditional snakes. This  algorithm compares with other two conventional approaches is faster according to needed execution time. This paper tells us which one is better by comparing each other. The experimental results of various test sequence images with a single object shown good performance, which proved that the proposed algorithm is faster among those. DOI: http://dx.doi.org/10.11591/telkomnika.v14i1.7467
A Wireless Greenhouse Monitoring System Based on Solar Energy Liai Gao; Man Cheng; Juan Tang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 9: September 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

To resolve the problems of complicated cabling and costly wired network in the current system, we designed a wireless greenhouse monitoring system based on ZigBee and GSM technology.  The system consists of two parts: a wireless sensor network and remote control terminal. According to parameters distribution in the monitoring regional, a wireless transmission network was formed, all of the node in the network using solar power. In the remote control terminal, the study developed a simplified expert decision system, in which the part of greenhouse control decision adopts the fuzzy decoupling control algorithm to realize the temperature and humidity decoupling control and increase the accuracy of decision-making.According to the experimental test, the monitoring system can run well under the conditions in northern China greenhouses. It can realize real-time, accurate monitoring and collecting of parameters data in the greenhouse environment; the remote control terminal can give effective decision management solutions. Our future work will mainly be solar photovoltaic panel servo system and image transmission. DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3305  
Automated detection of vehicles license plate using image processing techniques Farhana Ahmad Poad; Noor Shuraya Othman; Roshayati Yahya Atan; Jusrorizal Fadly Jusoh; Mumtaz Anwar Hussin
Indonesian Journal of Electrical Engineering and Computer Science Vol 18, No 3: June 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v18.i3.pp1408-1415

Abstract

The aim of this project is to design an Automated Detection of License Plate (ADLP) system based on image processing techniques. There are two techniques that are commonly used in detecting the target, which are the Optical Character Recognition (OCR) and the split and merge segmentation. Basically, the OCR technique performs the operation using individual character of the license plate with alphanumeri characteristic. While, the split and merge segmentation technique split the image of captured plate into a region of interest. These two techniques are utilized and implemented using MATLAB software and the performance of detection is tested on the image and a comparison is done between both techniques. The results show that both techniques can perform well for license plate with some error.
Using The Heuristic Genetic Algorithm in Multi-runway Aircraft Landing Scheduling Feng Xiao-rong; Feng Xing-jie; Zhao Rui
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 3: March 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Flights landing scheduling problem is an NP-hard problem, the article presents a heuristic genetic algorithm for multi-runway flights landing scheduling problem. The algorithm is based on a single chromosome coding and dynamic way flights runway allocation, then selects the center gene by the information entropy of each gene, and uses variation of the local search method to solve the slow convergence and easy to fall into local optimum of genetic algorithm. Compared with traditional genetic algorithm, the method can quickly give the better flight approach and landing order to reduce flight delays by the experimental results.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4488

Page 122 of 920 | Total Record : 9199

 120   121   122   123   124 

Filter by Year

2012 2026


Reset
Filter By Issues
All Issue Vol 41, No 3: March 2026 Vol 41, No 2: February 2026 Vol 41, No 1: January 2026 Vol 40, No 3: December 2025 Vol 40, No 2: November 2025 Vol 40, No 1: October 2025 Vol 39, No 3: September 2025 Vol 39, No 2: August 2025 Vol 39, No 1: July 2025 Vol 38, No 3: June 2025 Vol 38, No 2: May 2025 Vol 38, No 1: April 2025 Vol 37, No 3: March 2025 Vol 37, No 2: February 2025 Vol 37, No 1: January 2025 Vol 36, No 3: December 2024 Vol 36, No 2: November 2024 Vol 36, No 1: October 2024 Vol 35, No 3: September 2024 Vol 35, No 2: August 2024 Vol 35, No 1: July 2024 Vol 34, No 3: June 2024 Vol 34, No 2: May 2024 Vol 34, No 1: April 2024 Vol 33, No 3: March 2024 Vol 33, No 2: February 2024 Vol 33, No 1: January 2024 Vol 32, No 3: December 2023 Vol 32, No 1: October 2023 Vol 31, No 3: September 2023 Vol 31, No 2: August 2023 Vol 31, No 1: July 2023 Vol 30, No 3: June 2023 Vol 30, No 2: May 2023 Vol 30, No 1: April 2023 Vol 29, No 3: March 2023 Vol 29, No 2: February 2023 Vol 29, No 1: January 2023 Vol 28, No 3: December 2022 Vol 28, No 2: November 2022 Vol 28, No 1: October 2022 Vol 27, No 3: September 2022 Vol 27, No 2: August 2022 Vol 27, No 1: July 2022 Vol 26, No 3: June 2022 Vol 26, No 2: May 2022 Vol 26, No 1: April 2022 Vol 25, No 3: March 2022 Vol 25, No 2: February 2022 Vol 25, No 1: January 2022 Vol 24, No 3: December 2021 Vol 24, No 2: November 2021 Vol 24, No 1: October 2021 Vol 23, No 3: September 2021 Vol 23, No 2: August 2021 Vol 23, No 1: July 2021 Vol 22, No 3: June 2021 Vol 22, No 2: May 2021 Vol 22, No 1: April 2021 Vol 21, No 3: March 2021 Vol 21, No 2: February 2021 Vol 21, No 1: January 2021 Vol 20, No 3: December 2020 Vol 20, No 2: November 2020 Vol 20, No 1: October 2020 Vol 19, No 3: September 2020 Vol 19, No 2: August 2020 Vol 19, No 1: July 2020 Vol 18, No 3: June 2020 Vol 18, No 2: May 2020 Vol 18, No 1: April 2020 Vol 17, No 3: March 2020 Vol 17, No 2: February 2020 Vol 17, No 1: January 2020 Vol 16, No 3: December 2019 Vol 16, No 2: November 2019 Vol 16, No 1: October 2019 Vol 15, No 3: September 2019 Vol 15, No 2: August 2019 Vol 15, No 1: July 2019 Vol 14, No 3: June 2019 Vol 14, No 2: May 2019 Vol 14, No 1: April 2019 Vol 13, No 3: March 2019 Vol 13, No 2: February 2019 Vol 13, No 1: January 2019 Vol 12, No 3: December 2018 Vol 12, No 2: November 2018 Vol 12, No 1: October 2018 Vol 11, No 3: September 2018 Vol 11, No 2: August 2018 Vol 11, No 1: July 2018 Vol 10, No 3: June 2018 Vol 10, No 2: May 2018 Vol 10, No 1: April 2018 Vol 9, No 3: March 2018 Vol 9, No 2: February 2018 Vol 9, No 1: January 2018 Vol 8, No 3: December 2017 Vol 8, No 2: November 2017 Vol 8, No 1: October 2017 Vol 7, No 3: September 2017 Vol 7, No 2: August 2017 Vol 7, No 1: July 2017 Vol 6, No 3: June 2017 Vol 6, No 2: May 2017 Vol 6, No 1: April 2017 Vol 5, No 3: March 2017 Vol 5, No 2: February 2017 Vol 5, No 1: January 2017 Vol 4, No 3: December 2016 Vol 4, No 2: November 2016 Vol 4, No 1: October 2016 Vol 3, No 3: September 2016 Vol 3, No 2: August 2016 Vol 3, No 1: July 2016 Vol 2, No 3: June 2016 Vol 2, No 2: May 2016 Vol 2, No 1: April 2016 Vol 1, No 3: March 2016 Vol 1, No 2: February 2016 Vol 1, No 1: January 2016 Vol 16, No 3: December 2015 Vol 16, No 2: November 2015 Vol 16, No 1: October 2015 Vol 15, No 3: September 2015 Vol 15, No 2: August 2015 Vol 15, No 1: July 2015 Vol 14, No 3: June 2015 Vol 14, No 2: May 2015 Vol 14, No 1: April 2015 Vol 13, No 3: March 2015 Vol 13, No 2: February 2015 Vol 13, No 1: January 2015 Vol 12, No 12: December 2014 Vol 12, No 11: November 2014 Vol 12, No 10: October 2014 Vol 12, No 9: September 2014 Vol 12, No 8: August 2014 Vol 12, No 7: July 2014 Vol 12, No 6: June 2014 Vol 12, No 5: May 2014 Vol 12, No 4: April 2014 Vol 12, No 3: March 2014 Vol 12, No 2: February 2014 Vol 12, No 1: January 2014 Vol 11, No 12: December 2013 Vol 11, No 11: November 2013 Vol 11, No 10: October 2013 Vol 11, No 9: September 2013 Vol 11, No 8: August 2013 Vol 11, No 7: July 2013 Vol 11, No 6: June 2013 Vol 11, No 5: May 2013 Vol 11, No 4: April 2013 Vol 11, No 3: March 2013 Vol 11, No 2: February 2013 Vol 11, No 1: January 2013 Vol 10, No 8: December 2012 Vol 10, No 7: November 2012 Vol 10, No 6: October 2012 Vol 10, No 5: September 2012 Vol 10, No 4: August 2012 Vol 10, No 3: July 2012 More Issue