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 9,226 Documents
Intelligent Linear Collaborative Beamforming for Multi-objective Radiation Beampattern in Wireless Sensor Networks N.N.N.A. Malik; M. Esa; S.K.S. Yusof; N.M.A. Latiff
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 10: October 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i10.pp7318-7329

Abstract

Collaborative beamforming (CB) in wireless sensor networks (WSNs) promises improvement of communication performance and energy efficiency. The random distribution sensor nodes location within WSNs can introduce random beampattern mostly in the sidelobe region. In addition, higher energy consumption can occur as the randomness permits the generation of high peaks in radiation beampattern performance. Therefore, selecting a suitable spatial sensor node distribution is a challenge especially for WSNs. Collaborative sensor nodes in random deployment which performs as linear antenna array (LAA) can influence the radiation beampattern. However, it leads to the degradation of LAA and WSNs performances. Hence, an optimum algorithm for implementing CB method should be designed that takes into consideration not only the beampattern performance, but also the geometrical location of selected active nodes which cooperatively form an array antenna. In this article, a new algorithm known as intelligent linear sensor node array (ILSA) is presented. It is developed through the application of the proposed hybrid least square improved particle swarm optimization (HLPSO) algorithm. The newly proposed ILSA is constructed by means of collaborative nodes selection. The size of side lobe level (SLL) can vary significantly with desired multi-objectives. Simulation results obtained showed significant improved performance of the radiation beampattern. Thus, this motivates for exploiting the newly-developed optimum method in node geometrical location strategies of WSNs.
Comparison of OFDM System in terms of BER using Different Transform and Channel Coding Pratima Manhas; M.K Soni
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i1.pp153-158

Abstract

Orthogonal frequency division multiplexing is a type of multicarrier modulation technique which is used in wireless communication. OFDM can be used in various wireless and wired application such Digital audio broadcasting, digital video broadcasting & wireless LAN. The Performance of OFDM system depends on various parameters such as using different transform, different modulation and by putting various channel coding. In this paper OFDM system is modeled by using different transform (DWT/FFT), different modulation (BPSK, QPSK, QAM) and different channel coding (Linear / Cyclic block codes) for AWGN channel. The performance parameter is calculated as Bit error rate (BER) for various transform/modulation/channel coding based OFDM systems. MATLAB Simulink tool is used to calculate the bit error rate (BER).
Finite Element Model of Shape Memory Alloy Incorporating Drucker-Prager Model Yan Tingjun; Zhao Linna
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 7: July 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

The unique features of shape memory alloys (SMA), including pseudoelasticity and shape memory effect, give SMAs a wide application in aeronautical, biomedical, and structural engineering. These features stimulate the interest in the development of constitutive models.  In this paper, a 3D finite element model of shape memory alloy material model has been developed to incorporate the Drucker – Prager model in order to describe the asymmetry of SMA under tension and compression. This paper also takes into account the variation of Young’s modulus of the austenite and the martensite.  The development and implementation of a robust integration algorithm is presented. The provided numerical simulation demonstrates its capabilities. Further studies should be performed to seek quantitative fitting with experimental results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.2841
Performance Analysis of Non-Renewable Energy in Bangladesh M. G. Rabbani; C. T. Sattary; M. R. A. Mamun; M. M. Rahman; M. N. H. Khan
Indonesian Journal of Electrical Engineering and Computer Science Vol 5, No 2: February 2017
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v5.i2.pp290-298

Abstract

The demand of energy is dramatically increased nowadays and the demand either can renewable or non renewable depends on the drawbacks. Hence, non renewable energies show the better performance where the limitations are comprisable very few and environmental friendly. Already developed countries are being used renewable energies as the main sources of energy to produce electricity where it proved the less easy and more benefits. However, non renewable energies such as natural gas, gas generator and so on  still have been  producing more and more electricity and this amount is around 10 times more than renewable energies especially developing countries like Bangladesh. This paper is being discussed the importance of renewable energies and non renewable energies to produce electricity, comparing the different countries electricity production and the using sources. Here analysis the data of different power plants in Bangladesh and the types of fuel, CO2 emission and electricity production. In additionally, Gazipur district has been selected to show the power consumption factories with the cost analysis in selected fuel types.
An Improved Flexible Partial Histogram Bayes Learning Algorithm Haider O. Lawend; Anuar Muad; Aini Hussain
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 3: September 2018
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v11.i3.pp975-986

Abstract

This paper presents a proposed supervised classification technique namely flexible partial histogram Bayes (fPHBayes) learning algorithm. In our previous work, partial histogram Bayes (PHBayes) learning algorithm showed some advantages in the aspects of speed and accuracy in classification tasks. However, its accuracy declines when dealing with small number of instances or when the class feature distributes in wide area. In this work, the proposed fPHBayes solves these limitations in order to increase the classification accuracy. fPHBayes was analyzed and compared with PHBayes and other standard learning algorithms like first nearest neighbor, nearest subclass mean, nearest class mean, naive Bayes and Gaussian mixture model classifier. The experiments were performed using both real data and synthetic data considering different number of instances and different variances of Gaussians. The results showed that fPHBayes is more accurate and flexible to deal with different number of instances and different variances of Gaussians as compared to PHBayes.
The analysis of facial feature deformation using optical flow algorithm Dayang Nur Zulhijah Awang Jesemi; Hamimah Ujir; Irwandi Hipiny; Sarah Flora Samson Juan
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 2: August 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i2.pp769-777

Abstract

Facial features deformed according to the intended facial expression. Specific facial features are associated with specific facial expression, i.e. happy means the deformation of mouth. This paper presents the study of facial feature deformation for each facial expression by using an optical flow algorithm and segmented into three different regions of interest. The deformation of facial features shows the relation between facial the and facial expression. Based on the experiments, the deformations of eye and mouth are significant in all expressions except happy. For happy expression, cheeks and mouths are the significant regions. This work also suggests that different facial features' intensity varies in the way that they contribute to the recognition of the different facial expression intensity. The maximum magnitude across all expressions is shown by the mouth for surprise expression which is 9x10-4. While the minimum magnitude is shown by the mouth for angry expression which is 0.4x10-4.
A Novel Protective Logic for Optimal Coordination of Overcurrent Relays Sajad Samadinasab; Farhad Namdari; Nader Shojaei
Indonesian Journal of Electrical Engineering and Computer Science Vol 16, No 3: December 2015
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v16.i3.pp439-453

Abstract

Usually coordination of overcurrent relays is done by taking into account the specific structure of the system which does not show the real state of the system. On the other hand, dynamic changes in network can occur due to short circuit conditions, the malfunctioning relays, development, operation and repairs on any part of the power system. Also the most of the new protective schemes are based on a communication channel, which cannot be guaranteed in practice. Therefore, solving the problem of relay coordination is extremely difficult in case of dynamic changes in the network structure and the absence of communication links between some relays. In this article, a novel protective logic based on phasor measurement units (PMUs) data is proposed for optimal coordination of overcurrent relays. In this method, by using the PMU measurements, phasor information can be obtained continuously at any node where PMUs are installed in the power grid. For this purpose, in the first the Optimal PMU placement is determined for full network observability. Then, the dynamic changes of network will be observe by using wide area measurements based on PMUs data. Finally this information is sent via communication links PMUs for the optimal coordination of overcurrent relays. The use of PMU for the coordination of overcurrent relays improve the decision making capability and performance of protective relays and help them to form a reliable and robust protection system. The proposed method is tested on IEEE 8-bus and 14-bus standard networks.
Ship Dynamic Positioning Systems Based on Fuzzy Predictive Control Wang Liyun; Xiao Jianmei; Wang Xihuai
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

Dynamic Positioning Systems (DPS) is a technique of automatically maintaining the position of vessels within the specified limits by controlling thrusters. This paper introduces a fuzzy predictive control to position vessels. Firstly, the mathematical model of vessel is created and simplified. Then, we use feed-forward compensation to decouple the system. The T-S model is identified by Fuzzy C-Means clustering algorithm and Least Squares method. After that, we use Generalized Predictive Control (GPC) to control the ships in three degrees of freedom (DOF)-surge, sway and yaw. The simulation results show that the fuzzy predictive control can orient the vessels effectively.  DOI: http://dx.doi.org/10.11591/telkomnika.v11i11.3527
Design of a Grating Generator for Three-dimensional Scanner He Xingzheng
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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

Abstract

In the three-dimensional scanners (3D scanners) based on structured-light technology, the commercial video projector was always borrowed to act as the electronic grating generator, which is a key hardware to the device. But there were some defects existed. For example, the size was too large for setting in the case of the device, and it could not be controlled by a single chip microprocessor conveniently, etc.. To solve these problems, a new grating generator was designed. The gratings were numbered and encoded in computer instructions, and then a complex programmable logic device (CPLD) chip was used to control a liquid crystal on silicon (LCOS) video chip, to write its data ports directly corresponding to the instructions. It has small size, simple interfaces, prompt response, clear instructions, and it worked well. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4920
Research on Train Visualization of Different Resolution in TCS Simulation Ye Deng; Qianxiang Zhou; Weining Fang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 1: January 2013
Publisher : Institute of Advanced Engineering and Science

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

Abstract

Train control system is to control the velocity and the distance between trains in the railway and to protect the safe and high efficiency of train running. An ideal train control system testing and simulation platform should simulate the real railway operating environment and the train running. There are different requirements for the train visualization in the train control system testing and simulation platform. According to the specific analysis of the train running behavior and multiresolution theory, this paper raised the train visualization modeling of different resolution. Meanwhile the aggregation and disaggregation process between different resolution models were analyzed in detail. After all, the availability of this method was certified by 3D train simulation cases. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1911

Filter by Year

2012 2026


Filter By Issues
All Issue Vol 42, No 1: April 2026 Vol 41, No 3: March 2026 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