International journal of engineering intelligent systems for electrical engineering and communications (ENG INTELL SYST ELEC)

Journal description

The journal is devoted to the publication of high quality papers on theoretical developments in computer systems science, and their applications in computer systems engineering. Original research papers, state-of-the-art reviews and technical notes are invited for publication.

Current impact factor: 0.21

Impact Factor Rankings

2016 Impact Factor Available summer 2017
2009 Impact Factor 0.205
2008 Impact Factor 0
2007 Impact Factor 0.034
2006 Impact Factor 0.094
2005 Impact Factor 0.038
2004 Impact Factor 0.113
2003 Impact Factor 0.093

Impact factor over time

Impact factor
Year

Additional details

5-year impact 0.20
Cited half-life 0.00
Immediacy index 0.00
Eigenfactor 0.00
Article influence 0.04
Website Engineering Intelligent Systems website
Other titles International journal of engineering intelligent systems for electrical engineering and communications (1997), Engineering intelligent systems, Engineering intelligent systems for electrical engineering and communications
ISSN 1472-8915
OCLC 52688712
Material type Periodical
Document type Journal / Magazine / Newspaper

Publications in this journal


  • No preview · Article · Jul 2015 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Mar 2015 · International journal of engineering intelligent systems for electrical engineering and communications
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    ABSTRACT: The intensification of industrial production and the parallel development of faster machinery resulted in the direct increase of noise volume in most of the manufacturing places. This paper illustrates a comprehensive effort towards modeling of industrial noise with Soft Computing techniques. The aim of this research is the potential estimation of the exposure of wood industry workers in noise pollution, given the values of various independent features. Onsite noise measurements during the processing of Logs and Sawn Timber of varying average diameter and moisture have been conducted. Measurements have been performed for two species (Pine and Fir) once for wood moisture content (WMC) below 30% and once for WMC over 30%. Also a new framework based on fuzzy algebra has been proposed for the assessment of noise disturbance. The developed models have proven to be quite efficient and promising.
    No preview · Article · Dec 2014 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Apr 2014 · International journal of engineering intelligent systems for electrical engineering and communications
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    ABSTRACT: This study presents an expert system based on Artificial Neural Network (ANN), Genetic Algorithm (GA) and Adaptive Network based Fuzzy Inference System (ANFIS) to forecast long-term household electricity demand with fuzzy or crisp inputs. A Graphic User Interface (GUI) is used to represent accurate information to the user with respect to ANN, GA, ANFIS and conventional regression approaches. Five major factors impacting household electricity demand forecasting in this paper are annual household electricity consumption, annual household electricity price, annual urban household size, annual urban household income and annual household electricity consumption in previous year. The integrated expert system finds the optimum numbers of training and test data and the best model parameters for ANN, GA, ANFIS and conventional regression and reports them GUI. For comparison and accuracy measurement Minimum Absolute Percentage Error (MAPE) approach is used. Also, the expert system is equipped with analysis of variance (ANOVA) for further analysis and assessment of the stated methods. This is the first study that presents an efficient and integrated expert system for optimization of household electricity demand problem with fuzzy or crisp inputs.
    No preview · Article · Mar 2014 · International journal of engineering intelligent systems for electrical engineering and communications
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    ABSTRACT: Frequency stability in microgrids under islanded operation mode is one of the most important control problems in new power system design. Due to increasing number of microgrids (MGs) in power systems, and variable inherent of renewable energy sources, this issue gets more attention recently. In industrial environments, PI controllers due to low-cost, reliability and simplicity in design are more popular; but in new power systems these controllers may not provide desirable performance. For sake of this challenge, in this paper after a brief review on the frequency control in MGs, a new intelligent secondary control method using a supervisory fuzzy logic controller is proposed with two main goals: holding of structure simplicity that is desirable in industrial environment and implementable capability without opening the existing conventional PI control loops. In this method which is applied on an AC MG, if system dynamics change, the PI controller parameters do not need to be retuning, and the supervisory fuzzy logic controller minimizes the MG frequency deviation.
    No preview · Article · Jan 2014 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Jan 2014 · International journal of engineering intelligent systems for electrical engineering and communications
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    ABSTRACT: Recordings from multiple cameras in the context of 3D television are transmitted using a simulcast encoding structure or a multiview encoding structure. Multi-view Video Coding (MVC) extends H.264/AVC standard and exploits the large amount of inter-view statistical dependencies by combined temporal and inter-view prediction in 3D systems. We propose herein an alternative object oriented video coding scheme for multi-view video that introduces an intermediate step of estimating highly correlated sets of image parameters per Group-Of-Pictures (GOP). A structure that we call a Multi-view Video Plane (MVP) is defined. It holds the crosscorrelation coefficients between views. The proposed method may be applied upon groups of orthonormal motion vector parameters corresponding to different views as well. No specific knowledge of the extrinsic or the intrinsic parameters of the recording system is required. Object planes associated with a certain view are approximated as multi-linear components of an image that are crosscorrelated with object planes in other views in a tensor-like fashion. The order of the tensor equals the number of multiple views. The correlation coefficients of the tensor subspace projections as well as the updates of the multi-linear components, i.e. objectplanes (MVPs) and sets of motion vector parameters (that we call Motion Prediction video-Objects or MPOs), are quantized and transmitted in the MPEG stream. Residual object planes are encoded using conventional MPEG algorithms. Numerical results suggest an improvement compared with current encoding approaches with a moderate increase in computational burden.
    No preview · Article · Sep 2013 · International journal of engineering intelligent systems for electrical engineering and communications
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    ABSTRACT: Quality of life is strongly affected by the quality of the environment. Understanding and managing urban air quality is one of the main concerns of city authorities. For this purpose, it is important to extract knowledge and to be able to model the problem under investigation (air pollution), in order to be able to forecasts parameters of interest (pollutant concentrations). In this paper Artificial Neural Networks and Linear Regression models are used together with a set of mathematical tools that include Principal Component Analysis and Fast Fourier Transformations for the investigation and forecasting of hourly Benzene concentrations and highest daily eight hour mean of ozone concentrations for two locations in Athens, Greece. The methodology is evaluated for its forecasting ability. Results verify the suitability of the computational approach employed and the improvement of results in comparison to previous approaches
    No preview · Article · Mar 2012 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Jan 2012 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Sep 2011 · International journal of engineering intelligent systems for electrical engineering and communications

  • No preview · Article · Aug 2011 · International journal of engineering intelligent systems for electrical engineering and communications