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 100 Documents
 6   7   8   9   10 
Search results for , issue "Vol 11, No 11: November 2013" : 100 Documents clear
Study on the Method of the Self-adapting Image Threshold Divided in the Surface Image of the Tubular Cartridge Case Wu Qizhou; Jin Yong; Wang Liming
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The technology of detecting the internal and external diameter of the tubular cartridge case that using scanistor to obtain the image of the tubular cartridge case surface, aiming at the difference in the image of the surface between the degree of color gray. This article proposed the self-adapting image threshold divided method that base on mean and standard difference of the image of the surface using to definition threshold, solved the key question of the surface image manipulation, make the detecting result reaching the upper precision. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3581
QuickTime Virtual Reality Technology Applies to Practical Teaching Recording System Yongyong Zhu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The realization of virtual reality technology is useful in distributed practical teaching because its advantages such as illustrated, no limit by space and time, high intelligence, good ability of interactivity and etc. The practical teaching virtual reality technology is based on static images and IP network of computers. Recording the course of video, frequency, operation process of practical teaching, the contents of computer screen and etc simultaneously in real time, it broadcasts on internet, or save them on server in digital media format as internet teaching resources. It is the application of virtual reality technology to proceed with seamless data integration of various teaching platform, to form unified utilization and integration of resources, to improve the students’ study interest, to promote the spreading and applying of virtual reality technology. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2876
A Novel Algorithm of Network Trade Customer Classification Based on Fourier Basis Functions Li Xinwu; Guan Pengcheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Learning algorithm of neural network is always an important research contents in neural network theory research and application field, learning algorithm about the feed-forward neural network has no satisfactory solution in particular for its defects in calculation speed. The paper presents a new Fourier basis functions neural network algorithm and applied it to classify network trade customer. First, 21 customer classification indicators are designed, based on characteristics and behaviors analysis of network trade customer, including customer characteristics type variables and customer behaviors type variables,; Second, Fourier basis functions is used to improve the calculation flow and algorithm structure of original BP neural network algorithm to speed up its convergence and then a new Fourier basis neural network model is constructed. Finally the experimental results show that the problem of convergence speed can been solved, and the accuracy of the customer classification are ensured when the new algorithm is used in network trade customer classification practically. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2978
Software Aging Prediction Based on Extreme Learning Machine Xiaozhi Du; Huimin Lu; Gang Liu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In the research on software aging and rejuvenation, one of the most important questions is when to trigger the rejuvenation action. And it is useful to predict the system resource utilization state efficiently for determining the rejuvenation time. In this paper, we propose software aging prediction model based on extreme learning machine (ELM) for a real VOD system. First, the data on the parameters of system resources and application server are collected. Then, the data is preprocessed by normalization and principal component analysis (PCA). Then, ELMs are constructed to model the extracted data series of systematic parameters. Finally, we get the predicted data of system resource by computing the sum of the outputs of these ELMs. Experiments show that the proposed software aging prediction method based on wavelet transform and ELM is superior to the artificial neural network (ANN) and support vector machine (SVM) in the aspects of prediction precision and efficiency. Based on the models employed here, software rejuvenation policies can be triggered by actual measurements. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3495
Research and Simulation of Task Scheduling Algorithm in Cloud Computing Hong Sun; Shi-ping Chen; Chen Jin; Kai Guo
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper focuses on the task scheduling algorithms based on comprehensive QoS and constraint of expectation. Under the environment of dynamic cloud computing, efficiency improving of task scheduling and load balancing are eternal problems. For users, however, it's more important to meet their requirements of QoS. This paper relates to a benefit-fairness algorithm based on new Berger's model under the environment of dynamic cloud computing. According to the different type of task scheduling, we describe the priority of fairness, efficiency and the Balance between benefit and fairness respectively. We recompile the CloudSim and simulate the three task scheduling algorithms above on the basis of extended CloudSim respectively. The experimental results indicate that this algorithm dose not only meet the principle of giving priority to benefit with due to consideration to fairness, but also meet users' needs of synthesized QoS. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3513
Scaling Behavior and Phase Change in Complex Network Wei Cheng; Tanzhen Hua; Guiran Chang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Scaling behavior is a extremely typical phenomenon in complex system research, as well as it can act that many Macro indicators in system or distribution function of some variables meet exactly power-law behavior, which possesses different kinds of Exponents. In this article, according to Phase Change concept in Physics, it is researched that the nature in critical state of complex network with Seepage model, and it is totally stated that the basic reason of Self-similar behavior, Fractal behavior, and so on, and also Phase Change in complex network in critical state of complex network in accord with power-law distribution.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3529
Research on the Optimal Layout Problem for NC Machining Based on Improved Genetic Algorithm Wang Shuqing; Lei Lei; Wang Bing
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In the process of NC machining, the optimization processing of graphic layout is a well-studied problem which has practical application value for improving the utilization rate of raw materials and saving the cost of production. In this paper, a new design of genetic algorithm (GA) is proposed for solving this problem. This improved genetic algorithm combines GA with the improved crossover operator and mutation operator. Moreover, the best individual preservation method is integrated into the algorithm. The improved genetic algorithm expands the search space and enhances the GA’s search capabilities. Furthermore, the maximum matching algorithm is proposed based on the lowest horizontal line algorithm, which effectively avoids blind elevating horizontal lines and improves the utilization rate of the lowest horizontal line. It is integrated with the improved genetic algorithm to solve the two-dimensional rectangular parts optimal layout problem which combines the advantages of two kinds of algorithms. The experimental results show that the algorithm can get a good optimization result.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3554
A Novel Self-adaptive Discrete Wavelet Transform Digital Watermarking Algorithm Ma Chi; Zhu Yongyong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

On the basis of the research of wavelet transform and digital watermarking technology,this paper proposed a self-adaptive discrete wavelet transform(DWT) digital watermarking algorithm, which can achieve the purpose of embedding hidden watermarks by decompose three-level wavelet of image and decompose bit-plane of watermarking gray scale image by Arnold scrambling transformation. Layer adaptive threshold and quantizer were referenced in this algorithm, and which adaptive selected coefficient of detail subbands of embedded watermarking to improve the robustness of the watermarking. In testing of semi-blind watermarking, renewing of watermarking based on the embedding sequence of point locations and the quantizer sequence without participation of the original image. Experimental results show that the algorithm is effective to improve the robustness of the cut, adding noise, filtering, and compression image attack treatment.DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.2761
The Small and Medium-sized Enterprises Performance Evaluation Model Based on DEA and AHP Method Qiong Sun; Zhengran Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In this paper, DEA model and AHP model combined with a new method to evaluate the performance of the small and medium enterprises. In this paper, mainly introduced the analytic hierarchy process（AHP）and data envelopment analysis ( DEA ), based on the existing on the small and medium-sized enterprise performance  evaluation methods  are analyzed,  finally, through empirical  analysis  that the method of DEA based on AHP and has  good applicability and  feasibility. DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3470
Automatic Detection and Processing of Attributes Inconsistency for Fuzzy Ontologies Merging Yonghong Luo; Zhou Yu; Yanhao Zhuang; Zhaopeng Zheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 11: November 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Semantic fusion of multiple data sources and semantic interoperability between heterogeneous systems in distributed environment can be implemented through integrating multiple fuzzy local ontologies. However, ontology merging is one of the valid ways for ontology integration. In order to solve the problem of attributes inconsistency for concept mapping in fuzzy ontology merging system, we present an automatic detection algorithm of inconsistency for the range, number and membership grade of attributes between mapping concepts, and adopt corresponding processing strategy during the fuzzy ontologies merging according to the different types of attributes inconsistency. Experiment results show that with regard to merging accuracy, the fuzzy ontology merging system in which the automatic detection algorithm and processing strategy of attributes inconsistency is embedded is better than those traditional ontology merging systems like GLUE, PROMPT and Chimaera.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3490

Page 9 of 10 | Total Record : 100

 6   7   8   9   10 

Filter by Year

2013 2013


Reset
Filter By Issues
All Issue 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