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
 396   397   398   399   400 
Research of Strategic Alliance Stable Decision-making Model Based on Rough Set and DEA Zhang Yi
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This article uses rough set theory for stability evaluation system of strategic alliance at first. Uses data analysis method for reduction, eliminates redundant indexes. Selected 6 enterprises as a decision-making unit, then select 4 inputs and 2 outputs indexes data, using DEA model to calculate, analysis reasons for poor benefit of decision-making unit, find out improvement direction and quantity for changing, provide a reference for the alliance stability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3476
Building Structured Peer-to-Peer Resource Sharing Platform Using Object Encapsulation Approach Shufang ZHANG; Jun HAN
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper designed and built a distributed hash table based computing resource sharing platform named OE-P2RSP. By employing Peer-to-Peer services, OE-P2RSP allowed users to submit jobs to be run in the system and to run jobs submitted by other users on any resources available over the Internet, essentially allowing a group of users to form an Ad hoc set of shared resources. OE-P2RSP is based on structured peer on network share, improves the communication mode of system by encapsulated object, object group, and physical proximity principle, and the use of physical proximity principle, and gathers computing resources better in the same research institution or enterprise within local area network. The experimental results obtained via simulations show that the system can reliably execute scientific applications on a widely distributed set of resources with good load balancing and low matchmaking cost and that OE-P2RSP has good efficiency, load balancing and scalability. DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2056
Modeling and Analyzing for the Friction Torque of a Sliding Bearing Based on Grey System Theory Wang Baoming; Xu Jinxin; Chen ShengSheng; Wu Zaixin
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.pp6009-6016

Abstract

Based on the grey system theory, the grey relational analysis method is proposed and used in analyzing the influence of various factors on the friction torque of a sliding bearing. On the basis of the grey relational analysis the multidimensional grey model GM(1,N,D) for the friction torque of a sliding bearing is built up. Taking Al-based alloy sliding bearing as an example, the calculation results show that, compared with other influence factors, friction coefficient, load, temperature and rotational speed have more significant influence on the bearing friction torque.Comparingexperimental results and the calculated value of the GM(1,N,D) model based on these important influence factors, the maximum relative residuals is 9.09%, the average relative residuals is 7.9% and the accuracy is 92.1%. It verify that GM(1,N,D) model has good accuracy and is applicable for predicting friction torque of a sliding bearing.
Cloud computing based load balancing algorithm for erlang concurrent traffic Chanintorn Jittawiriyanukoon
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 2: February 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i2.pp1109-1116

Abstract

The distribution of scheduler from user inquiries in the clouds is complex. In keeping up with the cloud computing environment and the inquirers, the clouds meet with some problematic load balancing complications as an improving load balancing tool induces the rigorous efficiency of the cloud based website’s user access. Overloaded or underloaded conditions originate processing catastrophe regarding the prolonged execution time, bandwidth hog, malfunction, and etc. Besides, to manipulate Erlang concurrent tasks is another skyward situation. Hence, the load balancing is obliged to exhaust all mentioned conditions. The proposed load balancing algorithm for Erlang concurrent tasks (those are and could also be autonomous and unstable.) on VMware workstations is introduced.  There are several load patterns within the clouds corresponding to CPU’s load (utilization), memory load (queue size), link capacity load (bandwidth), and so on. The proposed load balancing is to spot underloaded and overloaded conditions then stabilizes the weight amidst computing nodes. There are countless load balancing approaches in the cloud environment to examine performance parameters. A short outline of corresponding performance metrics in the review and their findings are presented. To investigate the fit efficiency of the proposed algorithm, the simulation is applied then results based on the proposed method are compared to the existing ones. The outcomes settle the weight balancing, outperform others when executing Erlang traffic, and are catered in the context.
The Color Extraction and Support Vector Machine Recognition Algorithm for Moving Plate Recognition System Yu Chen; Jun Cao; Aifei Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

According to the shortcomings of long time and big errors about the moving plate recognition system, we present the moving plate recognition algorithm based on color extraction and support vector machine. On the basis of the analysis of moving plate recognition system’s basic principles, it introduces the basic principles and calculation steps about color extraction and support vector machine algorithm, and discusses the feasibility of applying the algorithm to PRS in the paper. The experimental results show that the algorithm has the advantages of faster speed and higher accuracy of recognition. The algorithm provides a new thought for the research on the moving plate recognition algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2800
A Real-time Search Structure and Classification Algorithm of Microblog Based on Partial Indexing Jingbo Yuan; Bairong Wang; Shunli Ding
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

With the popularity and the rapid development of social networks, microblog has also obtained great attention and gotten wide application. Microblog may produce a large amount of information per second. The real-time search is a critical technology to timely get the latest high-quality information from microblog. A new real-time search framework based on meta-search engine and a query classification algorithm of microblog was put forward. The classification and indexing process is based on the partial indexing mechanism to improve retrieval efficiency. The classification algorithm divides queries into the candidate queries and the popular queries, and takes separate storage strategy. Test results show that the classification algorithm can reduce real-time search time and improve the efficiency of retrieval. DOI : http://dx.doi.org/10.11591/telkomnika.v12i3.4497
Meta-heuristic techniques for optimal design of analog and digital filter El Beqal Asmae; Kritele Loubna; Benhala Bachir; Zorkani Izeddine
Indonesian Journal of Electrical Engineering and Computer Science Vol 19, No 2: August 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v19.i2.pp669-679

Abstract

In this paper, two Meta-heuristic techniques; namely ant colony optimization (ACO) and genetic algorithm (GA) have been applied for the optimal design of digital and analog filters. Those techniques have been used to solve multimodal optimization problem in infinite impulse response (IIR) filter design and to select the optimal component values from industrial series as well as to minimize the total design error of a 2nd order Sallen-Key active band-pass filter, also a comparison between the performances reached by those two Meta-heuristics was made in this article.
Design of transparent microstrip grid array antenna N. I. Mohd Ali; N. Misran; M. F. Mansor; M. F. Jamlos
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp888-893

Abstract

A transparent grid array antenna of 28 GHz frequency is presented. The radiating element of the antenna is made of ITO thin film and printed on a glass as the dielectric substrate. The simulation of the antenna executed by using Computer Simulation Technology (CST) Microwave Studio software demonstrated at 28 GHz operating frequency for 5G band applications. This antenna then compared to the rectangular microstrip patch antenna of the same operating frequency. Structural parameters of the proposed antenna were optimized based on parametric studies done.  Grid array antenna gives better performance as it gives 35.7% lower return loss with -43.88 dB, better efficiency and gain with a gain of 7.358 dB, which is more than 40% increases.
Vehicle Sensor Self-Powered Technology Research Based on Piezoelectric Sang Ying-Jun; Wu Shangguang; Li Man; Gao Yang; Li Haoxiang; Huang Fei; Hao Yun-Rong; Fan Yuan-Yuan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp452-457

Abstract

As a result of the electric vehicles popularity and the development of vehicles intelligent, the number of vehicle sensors surge, meanwhile, many defects of traditional energy supply are increasingly prominent, such as pollution and maintenance difficulties. Taking into account the vehicle vibration exist everywhere, we use the piezoelectric technology to collect vibration energy, and designs a piezoelectric vibration energy harvesting system to be used to solve the energy problem of micro-power sensor. In this paper, the system structure and the theoretical model are analyzed, and the mathematical model of the system vibration frequency and the piezoelectric output have been put forward, then a piezoelectric energy harvesting device is designed on the basis of simulation analysis. Experiments have been done to test the performance of its power generation in the case of resonance. The results showed that the theoretical model proposed in this paper can be a good predictor of the output characteristics of the system. As the resonance frequency is 16.5 Hz, acceleration is 0.5g, the maximum open circuit voltage of the system obtained is 3.5 volts, the optimum load resistance is 425kΩ, and the vibration energy collection device maximum load power is 14 uW. Conclusion: Greater energy could be caught to meet the vehicle sensor power supply needs with the use of super capacitor.
The electrostatic field networking in three isolated thunderstorms Zhenhui Wang; Qingfeng Zeng; Fengxia Guo; Dongpu Xu; Hao Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

A method for networking atmospheric electrostatic field by a quasi-normal charge distribution model based on radar and sounding data in isolated storm cells has been proposed. The charge distribution parameters of thundercloud are first estimated and inversed, and then the network of atmospheric electrostatic field can be calculated with the obtained parameters. The method was used to analyze three isolated thunderstorms that passed through the experiment site in 2009. It was shown that the electrostatic field networking and the charge distribution were concordant with the location of lightning and radar echo. It is revealed that the model and obtained parameters are reasonable to some extent and the method for networking electrostatic field using radar and sounding data is feasible. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1871

Page 398 of 920 | Total Record : 9199

 396   397   398   399   400 

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