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 101 Documents
 4   5   6   7   8 
Search results for , issue "Vol 12, No 2: February 2014" : 101 Documents clear
The Research of an Automatic Phase Displacement Island Protection Method of Photovoltaic Power Generation System WANG Yu-xin; ZHANG Feng-ge; LI Lin-lin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper proposes a lonely island detection method based on automatic type phase displacement. Different form the traditional island detection methods, this method solve the problem of its some kind of detection under the condition of failure , improving active island detection technology of slip type automatic frequency quadratic displacement method. This method only need to change the output current of the initial angle without changing its frequency to detect whether the grid failure, compared with the traditional island detection methods, improve the accuracy of the grid fault detection. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4173
Research on Orthogonal Direction Algorithm Using Direction Error Jun-fang Guo; Yong-feng Zhi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

For the orthogonal direction algorithm, the iteration direction is the direction vector, and the iteration error of the adaptive filter is caused by the input vector. These two directions are not the same one, which leads to more deviation for the iteration error. In this paper, an orthogonal direction algorithm using direction error is presented to settle this problem, which the iteration error is caused by the iteration direction. By setting the weight error to be zero in the direction vector, the optimal step-size is obtained, which improves the adaptive filtering convergence rate. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4216 
Measures of Impact Under Cascading Failure of Power Grid A. B. M. Nasiruzzaman; H. R. Pota
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

A centrality measure has been proposed considering the directionality of power flow of future smart grid. Applicability of the proposed method has been evaluated in several standard IEEE test systems. Various comparisons are shown between impacts of removal of critical nodes found from two different models: nondirectional and bidirectional. Larger impact of removing critical nodes found from bidirectional flow model shows the utility of the proposed method. Measures of impacts considered are changes in path length, loss of connectivity and load lost during cascade. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3669
Based on Anti-windup PI of brushless Dc motor control system design Miao JingLi; Huang XiaoGuang; Yuan Xiangmeng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this paper, on the simulation model of brushless DC motor, for brushless DC motor speed controller adopts Anti-windup PI saturated controller. According to the output of the controller is saturated, integral output feedback to the input, by the integral state control. It is that integral controller using the conditions with the computing strategy of control algorithm, so ensure the controller when a saturated. As soon as possible from the saturated zone, reached the overshoot volume is reduced. The simulationexperimental results show that the control method can effectively inhibit integral saturation and implement system response speed. It is good that the system has good robustness and steady-state performance. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3934
Karhunen-Loeve Transform and Sparse Representation Based Plant Leaf Disease Recognition Tian Jie; Qiu-xia Hu; Xiao-yi Ma
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

To improve the classification accuracy rate of apple leaf disease images and solve the problem of dimension redundancy in feature extraction, Karhunen-Loeve (K-L) transform and sparse representation are applied to apple leaf disease recognition. Firstly 9 color features and 8 texture features of disease leaf images are extracted and taken as feature vectors after dimensionality reduction by the K-L transform. Then, for each of apple mosaic virus, apple rust and apple alternaria leaf spot, 40 apple leaf images are selected as the training samples, whose feature vectors are made up of the dictionary of the sparse representation, respectively. Each testing sample is classified into the class with the minimal residual. The identifying results using the proposed method are analyzed and compared with those of the Support Vector Machine (SVM) and original sparse representation method. The average classification accuracy rate of the proposed method is 94.18 %, which confirms its good robustness. In addition, the proposed method not only improves the plant leaf disease classification accuracy but also solves the redundancy problem of the extracted features. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3632
Improving ZigBee AODV Mesh Routing Algorithm Topology and simulation analysis Malek Al-Gabri; Chunlin LI; Layuan Li
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper used AODV mesh topology methods to send and receive data from source to destination and vice versa. In this paper we present an improved version of ZigBee-AODV mesh network, which utilizes and divide the topology of network into one or more logical clusters and restricts the flooding of route request outside the cluster. ZigBee-AODV mesh network uses nodes of the same cluster to share routing information, which significantly reduces the route path discovery and created cluster formation to decrease the routing path. The proposed protocol has higher reliability and lower overhead than AODV. We  have  done  to  figure  out  the various proposed  modified  algorithms  based  on  the standard routing protocols, which have better network performance in terms of Average MAC control traffic sent/received , Average MAC data traffic sent/received , Average end to end delay,  Packet loss (%), Network Lifetime, Throughput, Average Numbers of Hops, Average Packets Dropped , Normalized Routing Overheadetc.as compare to standard routing algorithms used in ZigBee-AODV mesh network. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3576
On the Data Mining Technology Applied to Active Marketing Model of International Luxury Marketing Strategy in China— An Empirical Analysis Qishen Zhou; Shanhui Wang; Zuowei Yin
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

 This paper emphasizes the importance of active marketing in the customer relationship management. Especially, the data mining technology is applied to establish an active marketing model to empirically analyze the condition of the AH Jewelry Company. Michael Porter's Five Forces Model is employed to assess and calculate the similarity in the active marketing model. Then, the questionnaire analysis on the customer relationship management model is carried out to explain the target market and target customer groups of AH Jewelry Company. The cluster analysis and principal component analysis (PCA) are applied as data mining tool to investigate factors and problems that influence marketing effect of the AH Jewelry Company. The analysis results show that it becomes a key problem to enhance the customer loyalty and retain the customers under the changeable consumption environment. Data mining technology can help to analyze the historical data to produce the clients set which is most closed to the customer behaviors, and regards the most interesting information as the recommendation to the customers. Hence, marketing optimization strategy could be proposed as reference to manage the luxury marketing. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4384
The Raster Image Splicing of Using Oracle Spatial Technology to Research the GeoRaster Data Jingbo Wang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

GeoRaster is a feature of Oracle Spatial that let you store, index, query, analyze, and deliver GeoRaster data, that is, raster image and gridded data and its associated metadata. Using geographic information system GeoServer, we can release the raster map data, and allow users to update, delete, insert the characteristic data. Then, it can be easier to share the space geographic information by GeoServer between users. In fact, due to the enormous data size of the remote sensing image information, so that the same region of image information can be divided into many grids data blocks, and stored into sheets of raster images. To facilitate GeoServer to publish map data, based on the Oracle Spatial GeoRaster architecture, which provided by Oracle database, as well as the “SampleCode_For_Loader” project sample provided by the website, georaster_tools.jar toolkit, we do the secondary development. We splice the region of the same grid data block raster images, and import them into the Oracle database, then make the data as a whole. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4007 
Optimized Ant Colony Algorithm by Local Pheromone Update Hui Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Ant colony algorithm, a heuristic simulated algorithm, provides better solutions for non-convex, non-linear and discontinuous optimization problems. For ant colony algorithm, it is frequently to be trapped into local optimum, which might lead to stagnation. This article presents the  city-select strategy, local pheromone update strategy, optimum solution prediction strategy and local optimization strategy to optimize ant colony algorithm, provides ant colony algorithm based on local pheromone update,  also inspects and verifies it by TSP problems. The results of the numeric experiments suggest that on some TSP problems, the optimized ant colony algorithm acquired more satisfied solutions than all that we have already known.  DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4211 
An Information Hiding Algorithm Based on Improved S-Hough Transformation Deng Minghui; Zhang Lanying; Li Zhancheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 2: February 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this paper, a robust image watermarking method with S-Hough transformation is proposed which is robust against geometric distortion. This watermarking is detected by a linear frequency change. The chirp signals are used as watermarks and this type of signals is resistant to all stationary filtering methods and exhibits geometrical symmetry. In the two-dimensional Radon-Wigner transformation domain, the chirp signals used as watermarks change only its position in space/spatial-frequency distribution, after applying linear geometrical attack. But the two-dimensional Radon-Wigner transformation needs too much difficult computing. We propose a modified Hough transformation to provide improved energy concentration of the S-transform. The proposed scheme can resolve the time-frequency localization in a better way than the standard S transformation. The watermark is embedded in the 1D improved S transformation domains. The watermark thus generated is invisible and performs well in test and is robust to geometrical attacks. Compared with other watermarking algorithms, this algorithm is more robust, especially against geometric distortion, while having excellent frequency properties DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4412

Page 6 of 11 | Total Record : 101

 4   5   6   7   8 

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