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
 1   2   3   4   5 
Search results for , issue "Vol 12, No 4: April 2014" : 102 Documents clear
Optimal Multi-Distributed Generators Planning Under Uncertainty using AHP and GA Wanxing Sheng; Limei Zhang; Wei Tang; Jinli Wang; Hengfu Fang
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

Power system deregulation and the shortage of energy sources have led to increased interests in distributed generators (DGs). The access of DGs to the distribution networks brings advantages as well as creates adverse influences, which is related to the type, location and size of DGs.  In order to fully apply the positive and restrain the negative, proper DGs planning is very important and indispensable. Based on the analysis of the uncertain factors, this paper presents the distribution features of load, WTG and PV. And According to these distribution features, the relatively accurate sampling data are obtained by different discretization methods. Furthermore, this paper also presents an uncertain planning model of DGs owned by the distribution company, which involve power loss improvement, the system voltage quality variation, environment change, etc. The optimization algorithm is based on the fusion methodology with the Monte Carlo simulation, the analytical hierarchy process (AHP) and genetic algorithm (GA). The simulation is carried out on IEEE 37-bus distribution systems and the results is presented and discussed. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4824
The Iris Recognition based on Curvelet Transform and Improved SVM Cheng-Xi Gu; Cai-Dong Gu; Ya-Qin 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

In order to increase the accurate rates of the iris recognition, this paper proposes iris recognition method based on the combination of second generation curvelet transform and the Support Vector Machine Category correction. The images collected from iris image acquisition system are identified. First, rotation correction of iris and spot removal are carried out for collecting iris images. Then, iris images are through rectangular conversion, filter to extract edge point element from which judge the iris image quality. Furthermore, LoG operator is adopted to extract high-frequency energy on both sides of the iris pupil local area, and special judgment is taken out for pupil blocking by eyelids, eyelashes on basis of the energy spectrum. Finally, the cuckoo search algorithm is designed to optimize iris classifier of SVM parameters, and with the second generation curvelet transform algorithm, to complete iris recognition Results show that iris recognition with the CASIA 1.0 database, which contains 756 images of 108 eyes, is an efficient method for iris recognition with high recognition accuracy of iris image. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4289
Rough Set Extension Model of Incomplete Information System Yue Hou
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 investigated the incomplete information system in which situation of the more missing or absent unknown values. Based on the original characteristic relation, we proposed a new reflective relation which was controlled by the parameter alpha, beta. By analyzing illustrative examples and comparing to the original characteristic relation, this paper indicated the validity and practicability of the new-defined binary relation. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4732
Earthquake Rescue Mission Modeling Based on Multi-Agent Jing Zang; Hu Liu; Xianping Ni
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

In order to better research the role helicopter played in the earthquake rescue, a helicopter earthquake rescue mission modeling method based on multi-agent was proposed. The elements of the earthquake environment modeling were described. Typical helicopter rescue missions in earthquake relief were divided into three basic types, and the mission flow was carded. The division and function of agents in the helicopter earthquake rescue mission model was introduced, and the agent information layers structure was established. An approach of helicopter earthquake rescue mission effectiveness evaluation, including three types of assessment indicators, was proposed also. Finally, the architecture of a simulation system based on this modeling method was built. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4999
Using Flash Platform to Realize the Video Question Answering System Guie Jiao
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

Video question answering system is designed and developed  based on Flash platform technology, belongs of B / S (Browser / Server) structure, is used to meet the needs of specific groups’ teaching and studying. This paper describes core codes of database module and the real-time Q&A video module about video creating and video playback, also describes the relevant  realization technology and other functional modules  of the system. At last, it gives some modified suggestions. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4780
Coordination of Distributed Generators and Energy Storage Systems Yu Wenpeng; Liu Dong; Huang Yuhui
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 the interconnection of distributed generation (DG) and energy storage system (ESS), the operation of DG/ESS should be optimized and coordinated. The intermittence of renewable energy and the error of the load forecasting, which is usually taken as the raw data of the global optimization algorithm, cause difference between the actual and the optimal operating status of the network. Feeder Control Error (FCE) is proposed based on the difference between the actual and the optimal net load of the network, and quantifies the operating error of the network. A coordinating control system of all the DG/ESS is proposed based on FCE, and 3 different control modes are put forwards. With the coordination system, the difference between the actual and the optimal net load are balanced by all the DG/ESS proportionally, and this reduces the operating error relative to the optimal operation status. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4941
The Power Load Prediction Based on Improved Genetic Neural Network Dong Dai; Lin-Chao Ma
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

There exist nonlinear and high redundancy between the power load factors, and the traditional methods in neural network can not eliminate the redundancy in the prediction data and capture the nonlinear characteristics, resulting in lower prediction precision of the power load. In order to improve the prediction precision of the power load, a power load prediction method based on improved genetic algorithm optimization neural network (IGA-BP) is put forward. First, the power load is reconstructed using the correlation function, and then performed the normalization processing. Secondly, the power load training sample is input into the BP neural network for learning, and then the initial connection weights and thresholds of the BP neural network are selected using the improved genetic algorithm. Finally, the power load prediction model is established. Simulation results show that the improved neural network can reflect the trend of complex non-linear power load, achieve higher power load fitting and prediction precision, and is an effective load prediction method for power system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4302
Algorithms for Lorenz System Manifold Computation Meng Jia; Bing 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

A new algorithm is presented to compute both one dimensional stable and unstable manifolds of planar maps. It is proved that the gradient of the global manifold can be predicted by the known points on the manifold with a gradient prediction scheme and it can be used to locate the image or preimage of the new point quickly. The performance of the algorithm is demonstrated with hyper chaotic Lorenz system. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4740
Research on Control Strategy of Improved Single-phase Active Power Filter Gang Hu; Chuan Zang; Ya-jie Ma; Zhi-guo Xiao; Wei-li Dai
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

Unipolar single-phase active power filter control strategies need to the transformers and adders. Moreover, the circuits to fulfill the control strategy are more complicated. In order to solve above problems, an improved unipolar modulation control strategy has been performed in this paper. The principle of control strategy was analyzed in detail in this paper and related simulation has been finished. The results of simulation show that this improved control strategy can simplify the structure of circuit without affecting the system performance index. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4817
An Enhanced Safety Algorithm for Network QoS Multicast Routing Optimization Liu Wei; Cui Yong-Feng; Li Ya
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

In the traditional QoS multicast network routing algorithm, when the node encounters abnormal traffic network data, the node data overflows. The current protocol is lack of directional guidance for overflow, which causes abnormal data jitter and disorder, the data path planning of traditional Qos protocol blocked and network delay. In order to solve this problem, this paper presents an enhanced safety algorithm for QoS multicast network routing optimization. The constraint relationship between security level of input parameters of network service request and trust level of network service is set, in order to judge and screen the traffic overflow nodes generated by abnormal operation. Then filtered set of network services is used to construct a multi-path network services digraph and converts it into web services selection tree in use of pointing relationship between sub-services. Finally, it sorts the paths and according to the size of Qos path selects the optimal one to carry out through tracing method. Simulation results show the new algorithm has optimum network quality of service and lower complexity. DOI : http://dx.doi.org/10.11591/telkomnika.v12i4.4245

Page 1 of 11 | Total Record : 102

 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