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 80 Documents
 1   2   3   4   5 
Search results for , issue "Vol 12, No 9: September 2014" : 80 Documents clear
Research on How to Design an Android-based RFID Reader Lian Lu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6431-6436

Abstract

Android is a very popular system in Chinese mobile phone market, while radio frequency identification device (RFID) which is originally used in fields of retail and logistics etc.. is going to be installed into Android to realize the visualization of commodity information (including the updating, discounting, and after-sale service) and the general use for publics. This study firstly discussed the overall design requirements of an Android platform-based RFID reader. Subsequently, basing on design positioning and principle, the design idea and parameters involved in the design realization were given a detailed description. Design was completed with the aid of related mobile phone applications developed by Android smart phone and multi-level technology testing and research. The new design is attempt to build a new technological life in future and further improve life quality.
Research and Experiment on Electromagnetic Force Properties of LPMBLDCLM for Electromagnetic Launch Huilai Li; Xiaomin Li; Zhiyuan Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6566-6572

Abstract

In order to improve the thrust characteristics of the moving-magnet type linear permanent magnet brushless DC motor (LPMBLDCM), the structural characteristics and magnetic field are analyzed. The influence rule of electrical parameters and structural parameters on the electromagnetic properties and thrust performance are researched by finite element analysis (FEA). The effect regularity of structural parameters to mover velocity and thrust are researched as well as the electrical parameters. The LPMBLDCM system are established, and some relevant tests were taken to verify the correctness of simulation results. Simulation and experimental results show that the thrust and velocity of mover are affected by some key parameter. The results will surely provide the reference and guidance for the optimization of electromagnetic and thrust characteristics of LPMBLDCM.
Bee Inspired Zonal Vehicle Routing Algorithm in Urban Traffic Lei Wu; Licai Yang; Haiqing Liu; Yao Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6699-6710

Abstract

Abstract Dynamic Route Guidance System, which can provide the drivers with the optimal routes, is one of the most efficient solutions to the traffic jam. This paper presents a bee inspired zonal vehicle routing algorithm to provide a reasonable and effective optimal route for the Dynamic Route Guidance System. Firstly, the proposed algorithm divided the whole traffic network into different traffic guidance zone based on Shapley value game. Then, real time traffic data was collected in each traffic guidance zone by inter-vehicle and vehicle-to-infrastructure communications. Ultimately, the proposal simulated the bee foraging phenomenon in the biological system to synchronously compute the optimal routes in each traffic guidance zone. The simulation results show that the algorithm
The NSCT-NLmeans Based CS Reconstruction for Noisy Image Xue Bi; Xiangdong Chen
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6833-6839

Abstract

Sparsity was prior condition in compressed sensing which had been widely concerned in signal reconstruction. Meanwhile nonsubsampled contourlet proposed as a development to contourlet, not only provided flexible multi-scale, multi-direction sparse image decomposition but also featured with shift-invariance property which was beneficial to image denoising. This paper combined threshold operator in nonsubsampled contourlet domain with non local means filter for image denoising in the compressed sensing framework. Therefore, NSCT-NLmeans based compressed sensing reconstruction was proposed for noisy image. The experiment results showed that NSCT- NLmeans based algorithm outperformed the other multi-resolution and multi-directional transforms in recovering and denoising image simultaneously.
Investigation of Distributed Search Engine Based on Hadoop Ning Chen; Chai Xiangyang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6954-6957

Abstract

his paper begins with a review on the research status of search engine, followed by discussion on goals of search engine, and then the principle of distributed computing is explained. Consequently the MapReduce distributed computing model and the Hadoop distributed file system (HDFS) are analyzed in detail. Finally the distributed search engine architecture is presented. On the basis of the architecture, future challenges and opportunities of the distributed search engine are highlighted.
A Novel Framework for Evaluating the Software Project Management Efficiency–An Artificial Intelligence Approach Anandhi Govindarajan
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp7054-7058

Abstract

The main purpose of this work is to find a suitable solution for improving the efficiency of the Software Project Management (SPM). In this work we have used a novel artificial intelligence method, a fuzzy logic approach to evaluate the SPM efficiency. There are many IT organization suffers on managing the SPM, it may be due to several reasons such as project work can’t begin on time, it may have vague requirements, people involved in the project can’t stay within project parameters, unity among the people involved in the projects and improper communication unclear project objectives and goals. All these issues usually may lead to delay in the project and have greater impact on the project failure, which in turn causes the poor Software Project Management efficiency.Fuzzy logic is one of the Artificial Intelligence method helps to solve the problems when there is a SPM with uncertainty and vagueness in it. We used the fuzzy inference system (FIS) to quantify the SPM efficiency under uncertainty and vagueness of the parameters involved in quantifying SPM efficiency. The outcome of the work is really appreciable and encouraging to quantify the Software Project Management efficiency
Application of Magnetic Integrated Technology in Controllable Reactor of Transformer Type Jianning Yin; Mingxing Tian; Guohan Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6526-6533

Abstract

There is the magnetic coupling among control windings of controllable reactor of transformer type (CRT), the decoupling integrated magnetic technology is applied to the structure design of CRT in this paper. To realize the decoupling among the control windings we propose a magnetic integrated structure of CRT by providing low magnetic resistance magnetic circuit for control windings magnetic flux. The winding leakages of this structure are calculated, its inductance-transformer equivalent circuit is also established, and the equation of the coupling degree of control windings and no-load current with the lateral column air gap size are deduced. The simulation model for a CRT is fabricated with MATLAB/SIMULINK. Simulation and analysis results shows that when increasing the air gap, the magnetic coupling between the control windings decreases apparently, the utilization ratio of windings current is also raised. The simulation results verify the effectiveness of this method by controlling the lateral column air gap size to achieve the purpose of decoupling.
Study on Pattern Reconfiguration of Plasma Antenna Excited by Surface Wave Zhu Anshi; Chen Zili; Wei Jianbin; Zhen Yunhui
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6658-6666

Abstract

For the purpose of anti-jamming communications, the radiation pattern reconfiguration of plasma antenna excited by surface wave were studied. The self-consistent model used to describe the relation between the pump signal and radiation pattern is put forward by combining the Boltzmann Equation and Maxwell Equation. And the correctness of the model is validated by using FDTD approach. The experiment system that used to measure the radiation pattern is established to validate the correctness of the self-consistent model. The investigation results show that the radiation pattern are reconfigurable by controlling the pump signal.
Variable-weight Combination Prediction of Thermal Error Modeling on CNC Machine Tools Zhiming Feng; Guofu Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6797-6804

Abstract

Due to the thermal error modeling of CNC machine tools has characters of small sample and discrete data, the variable-weight combined modeling method was presented by integrating time series analysis and least squares support vector machines. Taking minimum sum of error square of prediction model as the optimization criterion, optimal weights in different time were calculated. Using grey GM (1, 1) model to predict the variable weights, the prediction result of thermal error was obtained as well. Application of the grey variable-weight combined model on a five axis vertical machining center indicated that it can get higher prediction accuracy than single modeling method. Therefore online error compensation to CNC machine tool becomes more effective.
Improved SPRINT Algorithm and its Application in the Physical Data Analysis Yazhi Ding; Zhigao Zheng; Ma Rong
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 9: September 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i9.pp6909-6920

Abstract

In order to determine the human physical condition according to the conventional tested data quickly and accurately, in this paper we proposed a trend selection based scalable parallelizable induction of decision trees algorithm (TESTSPRINT), based on the concept of pure interval and trend selection method. Based on the basic test data such as height, weight and grip strength, we can create a human physical condition decision tree quickly; according to the decision tree we can determine human physical health status quickly. Theoretic analysis and experimental demonstrations show that the algorithms this paper proposed outperforms existing algorithms in time and space complexity, and it was proved fruitful applications in the decision human physical health status with high accuracy.

Page 3 of 8 | Total Record : 80

 1   2   3   4   5 

Filter by Year

2014 2014


Reset
Filter By Issues
All Issue 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