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 102 Documents
 3   4   5   6   7 
Search results for , issue "Vol 12, No 4: April 2014" : 102 Documents clear
License Plate Recognition Model Research Based on the Multi-Feature Technology Li Ju-xia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Due to the impact of pollution, environment and so on in actual scene, it is difficult for the traditional single feature recognition model to obtain a higher accuracy of the license plate recognition. The paper proposed a new license plate image recognition model. First, the structural features and gray level features of the license plate, such as the contour and stroke order are extracted. Then, the principal component analysis is used to carry out the fusion, dimensionality reduction and redundancy removal processing for the two kinds of features, and a fuzzy fusion model for differentiated features is introduced to ensure minimal loss for the feature in fusion. Finally, the final result of the license plate image recognition is achieved in accordance with high degree of confidence criterion when the slope interference of the license plate is considered fully. Simulation results show that the license plate image recognition model based on multi-feature combination can solve the problem of the single feature recognition model, improve the accuracy of license plate recognition which is up to 99%. Moreover, the model has a faster recognition speed and can be applied to the actual license plate recognition. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4307
Dynamic Data Grid Replication Algorithm Based on Weight and Cost of Replica Zhongping Zhang; Chao Zhang; Mengfei Zuo; Zhiping Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Data Grid is composed of a large number of distributed computation and storage resources to facilitate the management of the huge distributed and sharing data resources efficiently. Dynamic replication can reduce the file storage time and use the grid resources effectively in a Data Grid environment. The Data Grid topology is divided into three layers: Regional level, LAN level, the grid site level. We have improved DHRA algorithm in three areas: replica selection, replica placement, replica replacement. Considering the weight and cost of replica, we propose dynamic Data Grid replication algorithm LWLC Based on Weight and Cost of Replica. At last, we use the OptorSim to prove the effectiveness of the LWLC . DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4737
A High Efficient Association Rule Mining Algorithm based on Intelligent Computation Fengxiang Wu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Abstract—Data mining is to use automated data analysis techniquesto uncover previously undetected relationships among data items. In datamining, association rule mining is a prevalent and well researched method for discovering useful relations between variables inlarge databases. In this paper, we investigate the principle of Apriori, direct hash and pruning and alsostudy the drawback of them. The first is constructing hash table withoutconfliction is theoretically optimal, but it needs consume a lot of memoryspace and space utilization is low. The second is that it does not have hashtree data structure leading to too long insert and search  time. So we propose a new association rule mining algorithm based on differential evolutionarycomputation. Theexperiment results show that our proposed algorithm has better execution timeand accuracy, which can be used in electroniccommerce system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4810
Design of a Multi-parameter Measurement System Yaoliang Shi; Guangyu Zheng; Li Wu; Shusheng Peng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper introduces a multi-parameter measurement system, which is used for recording the temperature and humidity, atmospheric pressure, rotation speed and acceleration, etc. The system uses a 32-bit RISC microprocessor of STM32F103ZET6 based on the core of ARM Coretex-M3 as master chip. Meanwhile, it writes the data recorded to NAND FLASH. After it is over, it copies the data to host-computer through SD card. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4782  
A Multi-party Decision Hot-standby Model Congdong Lv; Wei Ma; Xiaoyong Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The dual server hot-standby mechanism is often used to improve the system availability. However, in traditional dual server hot-standby models, the states of servers are seldom determined from the client’s observation, and it’s easy for the master server and the slave server to make wrong decisions about the state of each other, which may cause split brain. This paper presents a multi-party decision hot-standby model. In this model, the master server and the slave server determine the state of each other not only from the observation of themselves, but also from the observation of the client, which helps them make correct decision to maintain or change the service platform, so as to ensure the continuity of application. Compared with traditional dual server hot-standby models, the model suggested in this paper is more reasonable because of the involvement of the client’s observation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4887
Semi-Supervised Affine Alignment of Manifolds Rui Jia; Ting Lu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

High dimensional data is usually produced by the source that only enjoys a limited number of degrees of freedom. Manifold leaning technique plays an important part in finding the correlation among the high dimensional data datasets. By making use of manifold alignment, the paired mapping relationship can be explored easily. However, the common manifold alignment algorithm can only give the mapping result of the training set, and cannot deal with a new coming point. A new manifold alignment algorithm is proposed in this paper. The benefit of our algorithm is two fold: First, the method is a semi-supervised approach, which makes better use of the local geometry information of the unpaired points and improves the learning effect when the labeled proportion is very low. Second, an extended spectral aggression trick is used in the algorithm, which can produce a linear mapping between the raw data space and the aligned space. The experiments result shows that, the correlation mapping can be precisely obtained, the hidden space can be aligned effectively, and the cost of mapping a coming point is very low. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4808
Comparision of Several Preprocessing Algorithms based on Near Infrared Spectroscopic Measurement of Glucose in Aqueous Glucose Solutions Yan Zhang; Yawen Deng; Jinwei Sun; Chunling Yang; Guoliang Zhang; Dan Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Glucose concentration measurement is the basis of noninvasive detection of blood glucose concentration. It is significant in scientific research. In this study, Near Infrared Spectrum (NIRS) and regression analysis methodology were combined to measure the glucose concentration. The spectrum of glucose solutions was obtained with the Fourier Transformed Infrared Spectrometer, and then the data was used for regression analysis. In addition, the method of Paritial Least Squares (PLS) was used to achieve principle components and various spectral preprocessing methods were discussed. During PLS modeling, the Savitzky-Golay could improve the Prediction Residual Error Sum of Squares (PRESS) within 6%. The experiment results demonstrate that NIRS has the potential for the measurement of glucose solution. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4060
Network Intrusion Detection System Based on Optimized Fuzzy Rules Algorithm Liang Lei
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

As computer networks and distributed applications more complex, diverse and intelligent, network behavior anomaly detection has gradually become the effective monitoring and system controlling technology. The paper established a network intrusion detection system and to investigate the data rules, sensors and abnormal behavior automatic identification in this system, a kind of algorithm based on fuzzy rules to describe the network abnormal behavior was introduced into this paper. It was used to describe the misclassification invasion rules effectively and then to convert the misclassification invasion rules to the issue of seeking optimal separating hyper plane. Subsequently, the double super ball membership function was introduced into the system to restrict the intrusion features, and to establish intrusion rule set which was used to make optimized description of the intrusion rule set and then complete intrusion detection. The experimental results showed that: in the context of different network attacks, the system can complete a variety of attacks and efficient detection. The detection error was not more than 1% which basically met the requirements of the reliable, high precision, anti-interference ability in automatic network intrusion detection and provided a reference to the future research on network intrusion detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4288
Fuzzy Rough Set Conditional Entropy Attribute Reduction Algorithm Jinsheng Ren; Haitao Jia
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Modern science is increasingly data-driven and collaborative in nature. Comparing to ordinary data processing, big data processing that is mixed with great missing date must be processed rapidly. The Rough Set was generated to deal with the large data. The QuickReduct is a popular attribute algorithm as the attribute reduction of big database. But less effort has been put on fuzziness and vagueness data. Considering this requirement this paper proposes an improved attribute reduction based on condition entropy of fuzzy rough sets (FRCE) which can deal with the continuous and fuzzy data. This algorithm rewrites the expression of condition entropy by using the information theory. Last this paper takes the UCI database to simulate the efficiency of this algorithm. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4795
The Approach of Error Calibration for Three-axis Magnetic Heading Sensor Miaoxin Xiao
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 4: April 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The accuracy of magnetic heading sensor is reduced by the impact of manufacturing technology and local magnetic interferences. The singularity of constraint matrix in traditional calibration algorithm leads to unstable results. Therefore, an improved least-square ellipsoid fitting method is proposed in this paper. The error source and the deviation mathematical model are introduced. On the basis of the analysis on singularity of the constraints matrix, parameter extraction by the improved least-square ellipsoid fitting method is given. The new method successfully overcomes the instability of the traditional algorithm, and reduces the computation load. Simulation and experimental results show that this method is effective in calibrating magnetic heading sensor. The heading precision of the sensor acquired after calibration is better than 0.42º DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4837

Page 5 of 11 | Total Record : 102

 3   4   5   6   7 

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