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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 9,199 Documents
 442   443   444   445   446 
Islanding detection of integrated distributed generation with advanced controller J Rajesh Reddy; A Pandian; R Dhanasekaran; Rami Reddy Ch; B Prasanna Lakshmi; B Neelima Devi
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1626-1631

Abstract

Grid integration of non conventional energy resources is increasing in day to day life to supply the global energy utilization requirement. The major problem with such integrated Distributed Generation (DG) is islanding. The islanding is originated in the integrated system when a part of the power system is disconnected from the grid and continue to feed the local load. The islanding is not safe to field persons and equipment. As per IEEE 1547 standards, the islanding should be detected within 2 seconds with the equipments associated with it. In this paper, a new islanding detection method is proposed with fuzzy rule based approach with inputs as the change in frequency and power. This method classifies the islanding and non islanding events efficiently compared to other passive methods. The simulations are carried on Matlab/ Simulink 2018b environment.
Theoretical Modeling of a Magnetic Loop Antenna for Ultra wide band Application Moses Emetere
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.pp7076-7081

Abstract

The functionality of an improved magnetic loop antenna (MLA) is a prominent research which has span almost three decades. Its shape and size had metaphorsize from the usual analogue to a digital device-which is now used for experiments in space. In this paper, the application of MLA for ultra wide band (UWB) design was proposed. A new concept was introduced -angular displacement theory which was used to mitigate fading in multipath propagation
Intelligent Search Technology Combining Semantic Grid and Clustering Cuncun Wei
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 8: August 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

It is a critical problem of P2P network about how to efficiently and accurately search resources on P2P network. This thesis mainly starts from improving query efficiency to establish an intelligent search framework. On the basis of Gnutella-flooding search technology, it applies theories of semantic ontology search combined with semantic hash routing table technology and searches accurate answer from the resource library through problem traversal query in the network and node provided in the routing table. Meanwhile, in view of the flaws of the current structuralized and non-structuralized P2P network, it applies a hierarchical clustering method to form a hierarchical semantic web through semantic clustering in the node, domain clustering and global clustering, etc. Experiment shows that this framework could well improve search, query efficiency and fault tolerance in P2P environment, extend and understand user query demands and reach the aim of accurate search. DOI: http://dx.doi.org/10.11591/telkomnika.v11i8.3143 
Design of metal plate temperature sensor based on fiber bragg grating (FBG) Nani Fadzlina Naim; Nur Shahira Anuar; Suzi Seroja Sarnin; Norsuzila Yaa’cob
Indonesian Journal of Electrical Engineering and Computer Science Vol 15, No 3: September 2019
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v15.i3.pp1282-1289

Abstract

This paper presents the design and characterization for metal plate temperature sensor based on Fiber Bragg Grating (FBG). Five types of FBGs were used such as Acrylate FBG, Bare FBG, Bimetallic Acrylate FBG, Bimetallic Bare FBG and Ceramic FBG to determine the sensitivity on four different plates at 23℃ to 70℃, experimentally. The four different plates are Aluminium, Aluminium Coating, Zinc and Zinc Coating has been used because of their excellent thermal conductivity. Two metals which are Copper and Zinc have been chosen to design the Bimetallic Strips FBG due to the Coefficient Thermal Expansion (CTE) to improve their sensitivity. The results show that Ceramic FBG has been chosen as the best temperature sensor because it has the highest sensitivity compared to other FBGs with sensitivity value of 50.4 and 59.7 pm 16(℃)-1">  when in contact with Aluminium and Zinc plates, respectively. In addition, Aluminium and Zinc plates has been chosen as the most reliable metal plates where it can transfer heat efficiently due to high thermal conductive which is 237 W/mK and 116 W/mK thus it gives the highest sensitivity when measured using Bimetallic Acrylate, Bimetallic Bare and Ceramic FBG.
A Kind of H2/H∞Filtering Sheme on Deformation Monitoring Data Chengman Sha; Yachun Mao; Dongmei Yang
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 5: May 2014
Publisher : Institute of Advanced Engineering and Science

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Abstract

Based on the research of the Kalman filter, a kind of H2/H∞filter is put forward which depends on the model. H2 filter assumes that the noise is white noise, but does not require the statistical properties, also ignores color noise. H∞ filter only considers the non-white and energy- limited noise. It can ensure the accuracy of the filter in worst frequency point, but doesn’t consider the influence of white noise. Synthesizing the advantages and disadvantages of H2 and H∞ filter scheme, H2/H∞hybrid filter devide the noise into the white noise and non-white noise of limited energy. Baed on norm analysis about the noise and system, the optimization index J is adopted as the optimization goal, and its physical meaning is given. The hybrid filter is designed by solving the corresponding Riccati Equation, the simulation and actual calculation example are given. DOI : http://dx.doi.org/10.11591/telkomnika.v12i5.4935   
The effect of network size and density to the choice of zone radius in ZRP Hussein M. Haglan; Salman Yussof; Khalid W. Al-Ani; Hothefa Shaker Jassim; Dhamea A. Jasm
Indonesian Journal of Electrical Engineering and Computer Science Vol 20, No 1: October 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v20.i1.pp206-213

Abstract

Mobile ad hoc network (MANET) is a network that consists of several nodes that connect without using a permanent infrastructure. Each node in MANET moves inside and outside of the network freely and randomly. The free and random movements of nodes may cause the topology of the network to change constantly. Therefore, the task of finding routes between nodes is a big challenge. Routing protocols in MANET can be divided into three categories, namely, proactive, reactive and hybrid routing protocols. Hybrid routing protocols such as the zone routing protocol (ZRP) combines the advantages of both proactive and reactive routing protocols by dividing the network area into many overlapping zones. Data transmission to nodes within the zone is done using a proactive routing mechanism, while data transmission to nodes outside the zone is done using a reactive routing mechanism. The zone radius in ZRP determines how much proactive and reactive routing is used, and therefore plays a key role in determining the performance of the network. In this paper, the performance of the ZRP routing protocol is evaluated using the NS2.33 network simulator. The focus of the research is to evaluate the ZRP performance concerning the network size and density to identify an optimum ZRP zone size that will provide good performance. The performance is evaluated by using four performance metrics which are normalized routing load, average end-to-end delay, throughput, and packet delivery fraction. The results show that ZRP produces the best performance when the zone radius size is equal to two hops.
Vision-aided Navigation for Autonomous Aircraft Based on Unscented Kalman Filter Junwei Yu
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 2: February 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

A vision-aided navigation system for autonomous aircraft is described in this paper. The vision navigation of the aircraft to the known scence is performed with a camera fixed on the aircraft. The location and pose of the aircraft are estimated with the corresponding control points which can be detected in the images captured. The control points are selected according their saliency and are tracked in sequential images based on Fourier-Melline transform. The simulation model of the aircraft dynamics and vision-aided navigation system based on Matlab/Simulink is built.The unscented Kalman filter is used to fuse the aircraft state information provided by the vision system and the inertial navigation system. Simulation results show that the vision-based navigation system provides satisfactory results of both accuracy and reliability.DOI: http://dx.doi.org/10.11591/telkomnika.v11i2.2250
Similarity Measurement for Speaker Identification Using Frequency of Vector Pairs Inggih Permana; Agus Buono; Bib Paruhum Silalahi
Indonesian Journal of Electrical Engineering and Computer Science Vol 12, No 8: August 2014
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v12.i8.pp6205-6210

Abstract

Similarity measurement is an important part of speaker identification. This study has modified the similarity measurement technique performed in previous studies. Previous studies used the sum of the smallest distance between the input vectors and the codebook vectors of a particular speaker. In this study, the technique has been modified by selecting a particular speaker codebook which has the highest frequency of vector pairs. Vector pair in this case is the smallest distance between the input vector and the vector in the codebook. This study used Mel Frequency Cepstral Coefficient (MFCC) as feature extraction, Self Organizing Map (SOM) as codebook maker and Euclidean as a measure of distance. The experimental results showed that the similarity measuring techniques proposed can improve the accuracy of speaker identification. In the MFCC coefficients 13, 15 and 20 the average accuracy of identification respectively increased as much as 0.61%, 0.98% and 1.27%.
Maximum Power Point Tracking Control of Direct Methanol Fuel Cell Zhang Mingbo; Yan Ting; Gu Jinguang
Indonesian Journal of Electrical Engineering and Computer Science Vol 11, No 12: December 2013
Publisher : Institute of Advanced Engineering and Science

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Abstract

The performance of direct methanol fuel cell (DMFC) is closely related to its operating conditions, and there exists a specific combination of operating conditions at which the DMFC output maximum power to the driven load. Working at maximum power point (MPP) can lower the methanol crossover and ancillary power consumption so as to improve the global efficiency of the system. The fuzzy controller proposed in this paper provides a simple and robust way to keep the DMFC working at MPP by adjusting the operating conditions followed by the variation of driven load in real time. Simulation shows that the fuzzy control approach can yield satisfactory results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i12.3657
An improved ACS algorithm for data clustering Ayad Mohammed Jabbar; Ku Ruhana Ku-Mahamud; Rafid Sagban
Indonesian Journal of Electrical Engineering and Computer Science Vol 17, No 3: March 2020
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v17.i3.pp1506-1515

Abstract

Data clustering is a data mining technique that discovers hidden patterns by creating groups (clusters) of objects. Each object in every cluster exhibits sufficient similarity to its neighbourhood, whereas objects with insufficient similarity are found in other clusters. Data clustering techniques minimise intra-cluster similarity in each cluster and maximise inter-cluster dissimilarity amongst different clusters. Ant colony optimisation for clustering (ACOC) is a swarm algorithm inspired by the foraging behaviour of ants. This algorithm minimises deterministic imperfections in which clustering is considered an optimisation problem. However, ACOC suffers from high diversification in which the algorithm cannot search for best solutions in the local neighbourhood. To improve the ACOC, this study proposes a modified ACOC, called M-ACOC, which has a modification rate parameter that controls the convergence of the algorithm. Comparison of the performance of several common clustering algorithms using real-world datasets shows that the accuracy results of the proposed algorithm surpasses other algorithms. 

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