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 74 Documents
Search results for , issue "Vol 11, No 3: March 2013" : 74 Documents clear
A Novel QoS Routing Algorithm in Wireless Mesh Networks Liu Hui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

With the rapid development of information technology, people’s daily life becomes more and more dependent on wireless technologies. Wireless mesh network consists of a number of characteristics associated with the return path, with a strong fault tolerance, stability, widely used by the light to the city network construction, military applications, and key service providers and other fields. Compared with traditional wired communication technologies, how to provide qualified QoS routing service is a primary problem for wireless mesh networks waiting for effective solution. Regarding this problem, this paper applys the theory of Evolutionary Game to QoS routing algorithm for wireless mesh networks and proposed a novel algorithm called EGWRA which can not only improve the performance of traditional QoS routing protocols but also be able to reduce the cost of the routing algorithm. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2321
Application of Multi-Sensors Information Fusion for Self-protection System of Robot Qiuhong Gao
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

This paper developed a kind of robot self-protection system using the multi-sensors information fusion technology. This system used five groups of photoelectric sensor and ultrasonic sensor which were installed in different direction of the robot. In this study, signals were gathered by using the complement of ranging of photoelectric sensor and ultrasonic sensor. Then the signals were sent to MCU to achieve multi-sensors information fusion.Core fusion technology was the adaptive weighted fusion estimation algorithm, which can make measurement data more accurate. With such technology, an accurate robot self-protection command was made as to avoid obstacles, to judge narrow highland and to prevent dropping. The experiment results validated its good self-protection function. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2312
Information Extraction from Research Papers based on Conditional Random Field Model Zhu Shuxin; Xie Zhonghong; Chen Yuehong
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

With the increasing use of CiteSeer academic search engines, the accuracy of such systems has become more and more important. The paper adopts the improved particle swarm optimization algorithm for training conditional random field model and applies it into the research papers’ title and citation retrieval. The improved particl swarm optimization algorithm  brings the particle swarm aggregation to prevent particle swarm from being plunged into local convergence too early, and uses the linear inertia factor and learning factor to update particle rate. It can control algorithm in infinite iteration by the iteration between particle relative position change rate. The results of which using the standard research papers’ heads and references to evaluate the trained conditional random field model shows that compared with traditionally conditional random field model and Hidden Markov Model, the conditional random field model ,optimized and trained by improved particle swarm, has been better ameliorated in the aspect of F1 mean error and word error rate. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2188
Data Transmission System based on PCI bus & fiber-optical link Hu Yongbing; Zhou Yunfei; Wei Xingyun
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

To achieve real-time monitoring and control of a measurement and control system is often applied in industrial control, with the host computer. In accordance with the requirements of real-time data transmission, a hardware system with a FPGA as the main control unit for the logical interface, the PCI bus and the high-speed fiber-optic link as the data transmission channels communicating with the host computer and a measurement control system respectively is built; the debugging are completed for the HSSL IP core and the PCI interface module; the system test is fulfilled among the host computer, the data transmission board and the specific monitoring control board. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2212
Study of Real-Time Slope Stability Monitoring System Using Wireless Sensor Network(WSN) Dave Ta Teh Chang; Yuh-Show Tsai; Kai-Chun Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Traditional monitoring instruments have been found difficult to meet the requirement for real-time monitoring. This study applied Wireless Sensor Network (WSN) to slope stability monitoring, In recent years, the slopes in Taiwan have frequently caused disasters after heavy rains, and traand understand the process of slope instability from the characterization variation of new concepts. In the first stage, the Mems Sensors were selected and calibrated, and the accuracy was selected as 0.1 。and 0.5。. The self-made tilt calibration apparatus was used to calibrate the accuracy of 33 Mems Sensors respectively placed on the side slope. The stability and repeatability were validated multiple times. The field monitoring was carried out at the second stage. National Highway No. 3 3K+100 and TW PHW62 were selected at test locations, and 23 and 10 sensors were placed at these locations respectively. The data were collected in the in-situ industrial computer, and were transmitted via 3G wireless network card to the remote management unit as the basis of monitoring side slope. This study is now at the overall distribution stage, hoping to use the wireless sensor technology to develop an effective, real-time and energy-saving environmental monitoring system and management platform, so as to construct an intelligent WSN early warning and reporting system, which can be applied to the slope disaster prevention engineering. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2230
Efficient RFID Data Cleaning Method Li Xing; FU Wen-xiu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

RFID (Radio Frequency Identification) technology transfers data between movable tagged objects and readers without line of sight, and the captured data tends to be noisy. The inherent unreliability makes the data unreliable to application. Nowadays, the main solution is to use sliding window, but it is difficult to decide the window size, especially when the tag moves frequently or with high false positive. To solve the mentioned problems, SWKF (Sliding Window based on Kalman Filter Pre-processing) is proposed. It preprocesses the RFID data to make the read rate close to the real one, detects and filters the mobile tags. Then, the preprocessed data is smoothed to further improve accuracy. At the same time, the mid-window slide point reduces the output. Through the combination of Kalman Filter and sliding window, SWKF provides accurate RFID data to application. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2154
Characteristics Analysis of HFM Signal over Underwater Acoustic Channels YUAN Fei; WANG Wen-Jun; CHENG En
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

For pulse compression characteristics and not easily affected by noise, linear frequency modulation signal are widely used in underwater acoustic communication. This paper analyzes the characteristics of hyperbolic frequency modulation signal over underwater acoustic channels. Compared with linear frequency modulation signal, hyperbolic frequency modulation has the same performance of strong anti-noise and anti-multipath, what’s more, hyperbolic frequency modulation signal is better resist the influence of doppler. And discussed the influence of doppler on signal, simulation results show that the hyperbolic frequency modulation signal detection rate is better than linear frequency modulation signal in the doppler environment.DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2183
Service-oriented Controllable Multicast Model for Next Generation Internet Ye Zhao; Hu Jinlong; Zhang Ling
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

With the development of the IPv6 networks, more and more applications put forward to use multicast. Multicast security and management is one of the key issues for IP multicast services deployment in IPv6 network as in IPv4 network. We introduce the idea of Service-Oriented Architecture (SOA) in software scope to multicast service, and design a Service-oriented Controllable Multicast Model (SOCMM) for IPv6 multicast services. And the reference implementation of this model is proposed in this paper. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2207
Kalman Filter Localization Algorithm Based on SDS-TWR Ranging Liu Wei; Zou Jian; Wang Chunzhi; Xu Hui
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Node localization is the basic mechanism for wireless sensor networks. Which location data is indispensable information in the monitoring of events.In this paper,we proposed a new algortithm which is the Kalman filter localization algorithm based on SDS-TWR ranging method in order to solve the problem of node localization.Firstly,we use SDS-TWR algorithm to rang distance between the archor nodes  and unknown node .Then, We sketchy calculate the unknown node coordinates using weighted maximum likelihood estimation(WMLE) method.Lastly, We use the Kalman filter algorithm to optimize the coordinates of the second step. The experimental results show that the algorithm can effectively improve the positioning accuracy of the system and achieve the desired objectives. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2225
SOPC Based Multi-Channel Sliding Correlation Processing System Xin Liu; Dajun Sun; Tingting Teng
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: March 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Real time multi-channel sliding correlation processing is widely applied in underwater communication system or underwater positioning system. The traditional implementation in FPGA always employs parallel method which reduces the design work, however wastes considerable FPGA resources. This paper described a new kind of SOPC structure which based on AVALON bus, taken NIOS CPU as system controller, DMA used for accurate data transmission between computing units. This kind of time-multiplexed processing structure improved controlling flexibility and saved FPGA resources. System stability was proved by lake experiments. DOI: http://dx.doi.org/10.11591/telkomnika.v11i3.2307

Filter by Year

2013 2013


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