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INDONESIA
Bulletin of Electrical Engineering and Informatics
Published by IAES Indonesia Section and Partners
ISSN : -     EISSN : -     DOI : -
Core Subject : Engineering,
Electrical & Electronics Engineering
Arjuna Subject : -
Articles 627 Documents
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Optimization of LPG Diffusion Flame Synthesis of CNT Structures using Statistical Design of Experiments (SDOE) Rabinder Singh; Akash Deep; Jyoti Bharj; Nishtha Arya
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i4.253

Abstract

A statistical designed experimental approach was followed to investigate the various diffusion flame conditions for the synthesis of carbon nanotubed structures utilizing domestic Liquefied petroleum gas (IS – 4576) as the fuel carbon source. LPG flow rate, Oxygen flow rate, Height above burner (HAB) and Exposure time have been identified to generate different flame conditions based on varying One factor at a time (OFAT) approach. Two–level ‘full factorial’ design model in “Minitab12” software has been used for design of experiments. The 16 samples of soot with different flame conditions were collected on the surface of stainless steel plate. The output parameters i.e. weight of soot and substrate surface temperature were analyzed by Analysis of variance (ANOVA) to ensure that the experimentation is following the physics of the diffusion flame.Transmission electron microscope (TEM) images showed the growth of well aligned single walled carbon nanotubed structures with high aspect ratio as 220nm – 650nm diameter and 534nm – 1803nm length. In the present studythe parametric range for producing the single walled carbon–nanotubed structures through LPG diffusion flame have been found for optimization.
All-optical NOT Logic Based on Asymmetric SOA-Assisted Mach-Zehnder Interferometer Xiaohua Ye
Bulletin of Electrical Engineering and Informatics Vol 1, No 4: December 2012
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v1i4.254

Abstract

A novel scheme for all-optical NOT logic which exploits the cross-phase modulation (XPM) effect in an asymmetric SOA-assisted Mach-Zehnder Interferometer (SOA-MZI) has been proposed for the first time. Only two input beams are employed to achieve NOT operation in this new design. The scheme is validated and the system performance is optimized with various parameters through numerical simulations. This compact logic gate is helpful for future all-optical computing and networks.
Finite Element Approach of Shielded, Suspended and Inverted Microstrip Lines Sarhan Musa; Matthew N.O. Sadiku
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.255

Abstract

In this paper, we present finite element method (FEM) to investigate the electromagnetic analysis of two-dimensional (2D) shielded, suspended and inverted microstrip lines for microwave applications.  In the proposed method, we specifically determine the values of capacitance per unit length, inductance per unit length, and characteristic impedance of the microstrip lines. Extensive simulation results are presented and some comparative results are given with other methods and found them to be in excellent agreement. We extend the analysis by designing our new model of shielded, inverted microstrip lines and compared it with shielded, suspended microstrip lines; we found them to be very close. Also, we determine the quasi-TEM spectral for the potential distribution of these microstrip lines.
Hybrid Facial Geometry Algorithm for facial feature Extraction and Expression Recognition using ANFIS and BPNN Sunanda P. Khandait; R. C. Thool; Prabhakar D. Khandait
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.256

Abstract

An Intelligent Biometrics systems aims at localizing and detecting human faces from supplied images so that further recognition of persons and their facial expression recognition will be easy. The area of human-computer interaction (HCI) will be much more effective if a computer is able to recognize the emotional state of human being. Emotional states have a greater effect on the face which can tell about mood of a person. So if we can recognize facial expressions, we will know something about the human’s emotions and mood. This paper focuses on the novel Hybrid Facial Geometry Algorithm (HFGA) and comparative analysis of Facial Geometry algorithm and HFGA for facial feature extraction and its use to classify facial expressions. Feed forward back propagation neural network (BPNN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) are used as classifiers for expression classification and recognition. Experimentations are carried out using Japanese Female Facial Expression (JAFFE) database. Experimental results shows that average recognition efficiency from 95.33% to 93.33% is achieved for 30 to 75 test samples using BPNN and 95.71% to 95.33% with ANFIS approach.
Cascade modelling for predicting solubility index of roller dried goat whole milk powder Sumit Goyal; Gyanendra Kumar Goyal
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.257

Abstract

The aim of this work was to investigate the prediction ability of Cascade artificial neural network (ANN) models for solubility index of roller dried goat whole milk powder. The input variables for ANN model were: loose bulk density, packed bulk density, wettability and dispersibility, while solubility index was the output variable. Mean square error, root mean square error, coefficient of determination and Nash - sutcliffo coefficient were used as performance measures. Modelling results indicated very good agreement between the actual and the predicted data, thus confirming that ANN could be used to predict solubility index of roller dried goat whole milk powder.
Reliability Assessment of Power Generation System With Wind Farm WANG Xin-wei; ZHANG Jian-hua; JIANG Cheng; YU Lei; SHANG Jingfu
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.258

Abstract

The reliability of power generation system with wind farm is evaluated based on Monte-Carlosimulation, and in the reliability assessment the randomness of wind speed and power load, failure rate ofwind turbine generator(WTG) and conventional generator are take into account. Monte-Carlo simulationused in power generation system with wind power need large sample size and has low efficiency. So thispaper proposes an improved Monte Carlo method (IMC) based on the combination of Latin HypercubeSampling and Cholesky decomposition, this IMC method is effective to improve sample values coverage ofrandom variables input spaces and the sampling efficiency. The calculation and analysis of improvedIEEE-RTS 79 reliability test systems show that the proposed Assessment algorithm is effective.
Power Quality Improvement Using Unified Power Quality Conditioner Based On Particle Swarm Optimization Ragavan Saravanan; P.S. Manoharan
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.259

Abstract

A unified power quality conditioner (UPQC)to compensate current and voltage power quality problems ofsensitive loads. The UPQC consists of a shunt and series inverter having a common dc link. The shunt inverter eliminates current harmonics originating from the nonlinear load side and the series inverter mitigates voltage sag/swell originating from the supply side. The developed controllers for shunt and series inverters are based on an enhanced phase-locked loop and nonlinear adaptive filter. The proposed UPQC achieves superior capacity of mitigating the effects of voltage sag/swell and suppressing the load current harmonics under distorted supply conditions.Particle swarm optimization is discussed for its character of simple computation and high measurement accuracy. Simulation results are shown to verify the effectiveness and superiority of thealgorithm.
Theoretical Analysis on Interferometric Noise in Bidirectional WDM-PON Transmission Joni Welman Simatupang
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.260

Abstract

In this paper, theoretical analysis on interferometric noise caused by RB and FR in bidirectional single-fiber single-wavelength transmission over the conventional and long-reach WDM-PON is presented. Conventional WDM-PON takes place in access networks, usually for 20 km transmission distance without node amplification. However, for long-reach WDM-PON which is deployed for 100 km or beyond, optical amplification is an indispensable solution to enhance the power budget and prevent fiber nonlinearities that happening in the high power level. However, optical amplifier in long-reach WDM-PON might cause the RB and FR effects worse compare with their effects in conventional ones. It is due to the nature of re-amplification and re-modulation feedback of backscatter and back-reflection lights which existed at the preceding and following of optical amplifier or remote node gain.
When will Consciousness emerge? Imants Vilks
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.261

Abstract

The article is a short rewiev about one particular but important and essential question in the field of AI: the consciousness. The main idea is to cast away non-scientific pronouncements about mystics and impossibility in the field. To clear up the basic notions (emergence) and define the main theme - consciousness. The article proposes temporary definition of consciousness, consciousness emergence conditions and how to recognize and test the consciousness.
An Effective Multi-Population Based Hybrid Genetic Algorithm for Job Shop Scheduling Problem Somayeh Kalantari; Mohamad SanieeAbadeh
Bulletin of Electrical Engineering and Informatics Vol 2, No 1: March 2013
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v2i1.262

Abstract

The job shop scheduling problem is a well known practical planning problem in the manufacturing sector. We have considered the JSSP with an objective of minimizing makespan. In this paper, a multi-population based hybrid genetic algorithm is developed for solving the JSSP. The population is divided in several groups at first and the hybrid algorithm is applied to the disjoint groups. Then the migration operator is used. The proposed approach, MP-HGA, have been compared with other algorithms for job-shop scheduling and evaluated with satisfactory results on a set of JSSPs derived from classical job-shop scheduling benchmarks. We have solved 15 benchmark problems and compared results obtained with a number of algorithms established in the literature. The experimental results show that MP-HGA could gain the best known makespan in 13 out of 15 problems.

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