cover
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
ISSN : 25024752     EISSN : 25024760     DOI : -
Core Subject :
Arjuna Subject : -
Articles 101 Documents
Search results for , issue "Vol 12, No 2: February 2014" : 101 Documents clear
Multi-track Mobile Data Collection Mechanism for Wireless Sensor Networks Lei Fu; Guoqiang Zheng; Jishun 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

Wireless sensor networks (WSNs) have been widely researched by countries and institutes. The limited node energy has already become a constraint of large-scale applications. Seeking the energy-balance features at sensor nodes to prolong the network lifetime, a multi-track mobile data collecting mechanism (MTMDC) was proposed in this paper. The MTMDC mechanism was composed of three major phases: the Nodes Estimation Phase, the Energy Estimation Phase and the Multi-track Energy-balance Phase. Based on the three phases, a data collection path for mobile data collector or mobile sink (MS) was built to balance the energy consume of the sensor nodes. Theoretical analysis and performance simulations indicated that the proposed MTMDC mechanism has prominent features compared with the existing approaches in terms of the energy-balance performance and network lifetime. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3736
Pedestrian Detection Based on Sparse and Low-Rank Matrix Decomposition Cheng Ke-yang; Mao Qi-rong; Zhan Yong-zhao
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 article puts forward a novel system for pedestrian detection tasks, which proposing a model with sparse and low-rank matrix decomposition, jointly alternating direction method to solve the convex relaxation problem. We present an efficient pedestrian detection system using mixing features with sparse and low-rank matrix decomposition to combine into a Kernel classifier. Results presented on our data set show competitive accuracy and robust performance of our system outperforms current state-of-the-art work. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3859
Patent Analysis with Innovative Patent Map System Rain Chen; Chao-Chun Chen; Bei-Bei Yau
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

Among the research on patents, the applications of Patent Map to Patent Analysis have been gradually emphasized. For three years, the researchers have applied Patent Map Theory Model to establishing Patent Map System (PMS) assisting decision-makers in Patent Analysis. Based on the system requirements, relevant function components are planned, and UML technology is utilized for the design and establishment of Patent Map Database. In the actual case study on non-glue rubber mat design, the researchers apply PMS to assist WPIC in Patent Analysis. With the concept of Expert Systems to establish PMS, it is used for the research and development in enterprises as well as for patent management. With PMS, enterprises could understand the patent oppression of competitors and monitor the growth and decline of patent right. PMS can benefit enterprises to confirm the distribution of all patent in the industry and assist them in making definite patent distribution strategies. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4175 
Remote sensing image classification based on optimized support vector machine Liqian Cheng; Wenxing Bao
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 resolve the problem of wetland remote sensing image classification, this paper presents an improved classification algorithm. In this algorithm, genetic algorithm (GA) selection, crossover operation is introduced to the standard particle swarm optimization algorithm (PSO) to form a hybrid particle swarm optimization algorithm (GAPSO). The hybrid algorithm can exploit the advantages of the genetic algorithm and particle swarm algorithm respectively to the full to obtain the global optimal parameters of support vector machine (SVM). Thus the wetland remote sensing image can be classified more accurately. Taking Ningxia Shahu wetland remote sensing images as an example, this paper makes a classification of wetland remote sensing images using optimized support vector machine, and the outcome of the experiment shows that this algorithm has better classification effect than that of similar algorithms. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4325  
Parallel Research and Implementation of SAR Image Registration Based on Optimized SIFT Quan Sun; Jianxun Zhang
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 new SAR image registration method was Proposed based on improved SIFT algorithm. Which adopted multi-core system platform was used to overcoming the problem of high complexity algorithm of SIFT algorithm; According to the characteristics of SAR image, first of all, the source SAR image was enhanced in airspace, and finish the parallel extraction of feature points with the improved SIFT algorithm, then used Euclidean distance and the RANSAC algorithm to complete the matching of feature points and eliminate unmatching, finally realizes the SAR image registration. The experimental results show that the method can guarantee in the registration precision and reduce the complexity of the registration. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4414
Design of Radio Beacon for Spacecraft-Memory Localization Xiansheng Zhang; Qiulin Tan; Liqiong Ding; Kang Hao; Wenyi Liu
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

With the development of space technology and more and more space experiments, it has brought forward higher requests for memory of hard-recovered solid-state recorders. Therefore, Recovery of the memory becomes more important. Aiming at the disadvantages of present ways of recycling, we introduce a real-time GPS positioning wireless beacon can be applied on memory recovery. This paper introduces the principle of the system, circuit, and the function that can realized. Experimental results show that the beacon in a static environment and dynamic environment had a good performance in GPS positioning, and a high positioning accuracy. During Signal transmission, the receivers can received the raw GPS signal without error and can depict the running track of memory. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3637
Research of Adaptive Resolution Spectrum Sensing Method Based on Discrete Wavelet Packet Transform Wei Naiqi; Chen Zili; Zhu Anshi
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

Spectrum sensing is the precondition of the realization of cognitive radio. In order to achieve efficient multi-resolution spectrum sensing, and find the available spectrum hole quickly, it proposes a variable resolution adaptive frequency spectrum energy sensing method based on discrete wavelet packet transform (DWPT). The method applied hierarchical decomposition and threshold denoising characteristic of wavelet packet transform, and solved the problem of subband sort disorder in wavelet packet decomposition process; it can eliminate the influence of uncertainty noise on detection performance, effectively. It also can reduce the computational complexity according to demand of selection resolution and perception band. The simulation results and its analysis show that the proposed method has advantages of high precision, simple arithmetic and fine flexibility, etc. The method is adapted to fast sensing in the cognitive radio environment. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3971 
Network Intrusion Detection Based on PSO-SVM Changsheng Xiang; Yong Xiao; Peixin Qu; Xilong Qu
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 order to improve network intrusion detection precision, this paper proposed a network intrusion detection model based on simultaneous selecting features and parameters of support vector machine (SVM) by particle swarm optimization (PSO) algorithm. Firstly, the features and parameters of SVM are coded to particle, and then the PSO is used to find the  optimal features and SVM parameters by collaboration among particles, lastly, the performance of the model was tested by KDD Cup 99 data. Compared with other network models, the proposed model has reduced input features for SVM and has significantly improved the detection precision of network intrusion. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3826
Application of Multi-Agent Technology in Decision Supporting Xue Feng Jiang
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 the study, the development course and present situation of decision support technology is analyzed, and now decision support technology is lack and it is need to solved, it should combine the benefits of artificial intelligence as in the people's way of thinking to solve practical problems. In addition it also needs to have the ability to identify problems, and skills of dealing with distributed collaboration. The Multi-Agent technology in decision support research is introduced, the decision support is based on the Multi-Agent technology, and in order to demonstrate it can meet the specific needs of today's decision support, it analyzes the process of its implementation applying agent modeling theory, the behavior of the agent coordination mechanism and communication mechanism between the agents and so on, and puts forward the corresponding implementation scheme. Finally the effectiveness of the proposed technology and feasibility are analyzed, related results show that it can be applied in the actual decision support. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.3970
A Multi-objective QoS Mechanism for Web Applications: Improved EFXCP Hangxing Wu; Xiaolong Yang; Min Zhang
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

The research of QoS is concerned with multiple QoS requirements (multi-QR): queue delay, delay jitter and guaranteed throughput etc. As different QoS requirements have different attributes, it is hard to ensure multi-QR in one QoS mechanism. A common method to ensure multi-QR is normalizing multi-QR into one value range by a utility function and then finding the optimal solution of the utility function. However, although multi-QR are considered in such QoS mechanisms, in fact, no concrete QoS requirement can been strictly ensured, which may be embarrassing because web application usually requires one or more concrete QoS requirements to be satisfied strictly. Therefore, it is significant to design a real multi-objective QoS mechanism to satisfy different QoS requirements of various web applications. Our previous works proposed an efficient and fair explicit congestion control protocol (EFXCP) which can achieve excellent performance in terms of high link utilization, low queue delay, low delay jitter, etc. Because different web applications have different throughput requirements, to further satisfy throughput requirements of web applications, we extend EFXCP in this paper to implement an improved EFXCP (IEFXCP). Firstly, ToS field in IP header is utilized to classify different web applications, and then the relative fair bandwidth allocation is proposed between different types of web applications to preferentially ensure throughput requirements of high prior web applications.  Therefore, IEFXCP can simultaneously satisfy multi-QR: queue delay, delay jitter and guaranteed throughput. The performance of IEFXCP is validated by extensive NS2 simulations over a wide range of network scenarios, the results show that IEFXCP is a real multi-objective QoS mechanism. DOI : http://dx.doi.org/10.11591/telkomnika.v12i2.4009 

Page 10 of 11 | Total Record : 101


Filter by Year

2014 2014


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