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An improved Mamdani Fuzzy Neural Networks Based on PSO Algorithm and New Parameter Optimization
Lei Meng;
Shoulin Yin;
Xinyuan Hu
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp201-206
As we all know, the parameter optimization of Mamdani model has a defect of easily falling into local optimum. To solve this problem, we propose a new algorithm by constructing Mamdani Fuzzy neural networks. This new scheme uses fuzzy clustering based on particle swarm optimization(PSO) algorithm to determine initial parameter of Mamdani Fuzzy neural networks. Then it adopts PSO algorithm to optimize model's parameters. At the end, we use gradient descent method to make a further optimization for parameters. Therefore, we can realize the automatic adjustment, modification and perfection under the fuzzy rule. The experimental results show that the new algorithm improves the approximation ability of Mamdani Fuzzy neural networks.
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
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DOI: 10.11591/ijeecs.v1.i1.pp153-158
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).
Design and Fabrication of LC-Oscillator Tool Kits Based Op-Amp for Engineering Education Purpose
Syifaul Fuada;
Hakkun Elmunsyah;
Suwasono Suwasono
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp88-100
In this paper, a proposed design, fabrication and testing of sine wave oscillator “LC” type (Hartley and Colpitts oscillator) has been performed using five approaches. The first approach proposed design is done theoretically using the basic theorems used to generate oscillations, such as the condition of oscillation criteria and determine the values of capacitor (C) and inductor (L) component, Secondly it is done using simulation technique (LTSpice IV), Thirdly the simulated design is implemented practically using IC OP-AMP 741 with passive elements such as resistors, capacitors and inductors by oscilloscope and frequency generator. Fourthly design the Hartley and colpitts tool kit by 2-D and 3-D, layouting the circuit by Eagle PCB design software then package into tool box which integrated each other. Finaly, the LC-oscillator tool kit was tested such as resistor, capasitor and inductor module and write the result into tables (for jobsheet data).
A New Method for Optimal Coordination of Overcurrent Relays Considering the Communication Channels Constraints
Farhad Namdari;
Sajad Samadinasab
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp17-30
The most of the new protective schemes are based on a communication channel, which cannot be guaranteed in practice. However, during blackouts or cascading failures in the power grid, as system conditions change significantly and rapidly, more information exchanges may be required by the control centers and substations. In other words, the communication channels are operating with high load and therefore become more vulnerable when the power grid is in contingent conditions. Thus, relying on the communication channel for decision making may not be the optimal solution for protective relays, although it might be beneficial to have information exchange. In this article, a novel protective logic is proposed based on phasor measurement units (PMUs) data for optimal coordination of overcurrent relays. PMUs measure the positive sequence voltage at two substations separated by hundreds of miles which are synchronized precisely with the aid of a GPS satellite system. The precise time-tags are attached with samples, and this information is exchanged over communication channels and collected by control centers and/or substations. By extracting the relevant information from these measurements, phasor information can be obtained at any node where PMUs are installed in the power grid. This can be used to do more accurate state estimation, control, and protection. In these relays, besides current and voltage, phasor information has become an important measurement in decision making. The proposed method is tested on IEEE 8-bus standard network.
An Adaptive Adjustment Mechanism for Carriage in ATTN Network
Yongju Xian;
Huailiang Yi;
Qili Zhang
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp207-214
Internet based on TCP/IP is now faced with the problem of scalability, security, management and energy consumption, while the patch to Internet doesn’t solve the drawback of IP network essentially, which further intensifies the complexity of the network. In this paper, based on the research of ATTN network, an adaptive adjustment mechanism is proposed aiming at the problem of data retention and low resource utilization rate in the automatic configuration of the carriages. In which by the forecast of data retention and resource utilization, the carrier routes are dynamically adjusted. Finally, the scheme is further optimized, and tested on ATTN simulation platform, which shows the performance of ATTN network is improved.
A New Approach of Detection Algorithm for Reducing Computation Complexity of MIMO systems
Mohammed Qasim Sulttan
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp159-167
Multiple-Input Multiple-Output (MIMO) technique is a key technology to strengthen and achieve high-speed and high-throughput wireless communications. . In recent years, it was observed that frequent detecting techniques could improve the performance (e.g., symbol error rate ‘SER’) of different modern digital communication systems. But these systems faced a problem of high complexity for the practical implementation. To solve the problem of high complexity, this work proposed Frequent Improve K-best Sphere Decoding (FIKSD) algorithm with stopping rule depending on the Manhattan metric. Manhattan metric is proposed to use with FIKSD in order to achieve the lowest complexity. FIKSD is a powerful tool to achieve a high performance close to the maximum likelihood (ML), with less complexity. The simulation results show a good reduction in computation complexity with a cost of slight performance degradation within 1dB; the proposed FIKSD requires 0% to 94% and 82% to 97% less complexity than Improved K-best Sphere Decoder (IKSD) and K-best Sphere Decoder (KSD) respectively. This makes the algorithm more suitable for implementation in wireless communication systems.
Design and Implementation of Robust Controllers for an Intelligent Incubation Pisciculture System
D. Ganesh;
S.MD. Saleem Naveed;
M. Kalyan Chakravarthi
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp101-108
Aquaculture is major occupation for the humans living at coastal areas. The fresh water cultivation of the certain species is prominent in tropical and sub-tropical climates. Here the proposed work shows the relation-ship between the growth of the certain species of marine habitats and the factors affecting their growth with respect to the medium of their living. Advancement of embedded systems in aquaculture leads to new innovations of monitoring and controlling the various parameters. Here the embedded system based application is used, through which the monitoring and controlling of the light is done with the help of LabVIEW based PI controller as well as Fuzzy controller for the effective and healthy growth of the marine habitat. The Designed controllers are energy efficient based controller for controlling the Light Source (LS) via appropriate lighting control levels. The controlling and managing of the system is based on the present light intensity with the help of virtual controller. The proposed work involves the designing and implementation of PI controller and the fuzzy controller for the real time setup to monitor and control the process for optimal and feasible solution.
Development of Quran Reciter Identification System Using MFCC and Neural Network
Tayseer Mohammed Hasan Asda;
Teddy Surya Gunawan;
Mira Kartiwi;
Hasmah Mansor
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp168-175
Currently, the Quran is recited by so many reciters with different ways and voices. Some people like to listen to this reciter and others like to listen to other reciters. Sometimes we hear a very nice recitation of al-Quran and want to know who the reciter is. Therefore, this paper is about the development of Quran reciter recognition and identification system based on Mel Frequency Cepstral Coefficient (MFCC) feature extraction and artificial neural network (ANN). From every speech, characteristics from the utterances will be extracted through neural network model. In this paper a database of five Quran reciters is created and used in training and testing. The feature vector will be fed into Neural Network back propagation learning algorithm for training and identification processes of different speakers. Consequently, 91.2% of the successful match between targets and input occurred with certain number of hidden layers which shows how efficient are Mel Frequency Cepstral Coefficient (MFCC) feature extraction and artificial neural network (ANN) in identifying the reciter voice perfectly.
A Review on Voltage Balancing Solutions in Multilevel Inverters
M. Ranjitha;
S. Ravivarman
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp53-59
Multilevel inverters are used in high power and medium voltage applications. Employing multilevel inverter with renewable energy alone, the voltage balance cannot be made because the number of level increases in multilevel inverter the control gets complexity. So voltage imbalance problems are introduced. The voltage imbalance problems can be classified into two types; Midpoint unbalance and the central capacitor discharge. These problems can be solved by using voltage balancing solutions. The solutions are hardware based; software based, and combined solutions. By using these types of solutions the voltage balancing problems can be solved and the efficiency of multilevel inverter could be high. This paper reviews about various voltage balancing solutions in multilevel inverter.
A Review on Development and Operational Strategy of Fault Current Limiters
S.P. Janani Priyadharshna;
T. Venkatesan
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 1: January 2016
Publisher : Institute of Advanced Engineering and Science
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DOI: 10.11591/ijeecs.v1.i1.pp1-9
Distributed Generation (DG) plays a major role in existing power system. When such distributed generation system is interconnected with micro-grid improves voltage profile, power quality but at the same time results in fault conditions. Among various faults occurring in the power system, short circuit faults are the most predominant case. This results in the increase in flow of the fault current in the line. Also the equipments installed in such a line get damaged internally due to flow of excess fault current. Therefore in order to improve the transient conditions and limit the fault current to a manageable level, a device called Fault Current Limiters (FCLs) are being used in recent trend. This paper reviews about various fault current limiters, their development, characteristics and operating performance in the system. It gives a detailed knowledge about various operations performed by fault current limiters that is compared with other conventional techniques.