Abstract :
JECEI is devoted to the research in Electrical and Computer Engineering. The editors would like to welcome you to the Seventh issue (Vol. 4, No. 1), that contains ten papers focusing on research works in Automatic image annotation, Analog reliability measurement, GenCos’ optimal bidding strategy, Estimating the number of wideband radio sources, Clustering by SSPCO optimization algorithm, Stability analysis and stabilization of nonlinear affine systems, Software cost estimation, Declarative semantics in object-oriented software development, Evaluation and ranking of discrete simulation tools, and Low voltage shore power supply.
The first article entitled “Fuzzy Neighbor Voting for Automatic Image Annotation,” by V. Maihami and F. Yaghmaee, deals with automatic image annotation (AIA), attaching words, keywords or comments to an image or to a selected part of it. In this article, a new image annotation algorithm is proposed which is based on neighbor voting by using fuzzy system. It is shown that the performance of the model depends on selecting the right neighbors and a fuzzy system with the right combination of features it offers. Experimental results on Corel5k and IAPR TC12 benchmark annotated datasets, demonstrate a good performance.
The article “MOCA ARM: Analog Reliability Measurement based on Monte Carlo Analysis,” by S. Taghipour and R. Niaraki Asli, proposes a new classification method using Monte Carlo analysis to calculate the reliability of analog circuits and shows its efficacy when it is used for a combination of analog and digital circuits. The proposed method is based on signal reliability concepts and measures the probability of passing correct or faulty values. The reliability measurements of this research work is compared with the reliability definitions come from the other failure mechanisms in sub-micron technologies.
In the third article, entitled “A Comprehensive Survey on GenCos’ Optimal Bidding Strategy Problem in Competitive Power Markets,” by A. Badri, the author presents a complete survey on Generation Companies’ (GenCos’) optimal bidding strategy problem in the restructured power markets. After an introduction to competitive electricity markets, concept of optimal bidding strategy is presented. Considering large amount of works accomplished in this area, a novel classification is implemented in order to categorize the existing diverse studies. Accordingly, studies are classified in different categories based on market mechanism, trading mechanism, type of competition, transmission security, type of power plant, type of commodity and type of objective function. For each category, the corresponding studies are presented to show the effectiveness of each item. At the end, the impact of uncertainty and risk on GenCos’ optimal bidding strategy problem is represented and a number of applicable methods to simulate stochastic nature of the problem are investigated.
The forth article “Estimating the Number of Wideband Radio Sources,” by S. Jalaei and S. Shirvani Moghaddam, proposes a new approach for estimating the number of wideband sources which is based on RSS or ISM algorithms. Numerical results show that the MDL-based and EIT-based proposed algorithm have a much better detection performance than that in EGM and AIC cases for small differences between the incident angles of sources. In addition, for similar conditions, RSS algorithm offers higher detection probability compared to ISM one, meanwhile it needs a heavy computational complexity than ISM. Simulation results show different detection probabilities for the proposed RSS and ISM algorithms meanwhile decreasing the bandwidth is the reason for increasing the performance of both RSS-EIT and ISM-EIT algorithms.
In the fifth article, entitled “A Clustering Approach by SSPCO Optimization Algorithm Based on Chaotic Initial Population,” by R. Omidvar et al., a chaotic SSPCO algorithm is utilized for clustering data on different benchmarks and datasets. Moreover, clustering with artificial bee colony algorithm and particle mass 9 clustering technique is compared. Clustering tests have been done on 13 datasets from UCI machine learning repository. The results show that clustering SSPCO algorithm is a clustering technique which is very efficient in clustering multivariate data.
The sixth article, “Passivity-Based Stability Analysis and Robust Practical Stabilization of Nonlinear Affine Systems with Non-vanishing Perturbations,” by H. Chenarani and T. Binazadeh, presents some analyses about the robust practical stability of a class of nonlinear affine systems in the presence of non-vanishing perturbations based on the passivity concept. The given analyses confirm the robust passivity property of the perturbed nonlinear systems in a certain region. Moreover, robust control laws are designed to guarantee the practical stability of the perturbed systems. For this purpose, the control laws are designed in two cases. In the fisrt one, the designer has freedom in choosing the outputs, and in the second one, the outputs are predefined. Finally, the computer simulations are performed to show the efficacy and applicability of the designed controllers.
In the Seventh article entitled “Software Cost Estimation by a New Hybrid Model of Particle Swarm Optimization and K-Nearest Neighbor Algorithms,” by M. Hasanlou et al., a new method is presented to solve the problem of software cost estimation (SCE) by using hybrid particle swarm optimization (PSO) algorithm and K-nearest neighbor (KNN) algorithm. The method was evaluated on 6 multiple datasets with 8 different evaluation criteria. Obtained results show the more accurate performance of the proposed method.
Eighth paper “Declarative Semantics in Object-Oriented Software Development-A Taxonomy and Survey,” by H. Rashidi, presents four taxonomies for the rules in object-oriented paradigm and discusses how the paradigm can be extended to support declarative semantic of applications. In addition, the rules in the taxonomies are evaluated in four case studies. Moreover, an approach is recommended for finding and implementation of declarative semantics, based on some practical experience obtained from the evaluation.
In the next article entitled “Evaluation and Ranking of Discrete Simulation Tools,” by Z. Rashidi and Z. Rashidi, authors makes a couple of evaluations and ranks more than fifty simulation tools that are currently available. The first evaluation and ranking is in the approach of Analytic Hierarchy Process and the second one is in the Feature Analysis and Weighted Average Sum. The evaluations and rankings are based on thirteen indicators included in simulation tools, which are the general features, visual aspects, coding aspects, efficiency, modeling assistance, testability, software compatibility, input/output, experimental features, statistical facilities, user support, financial and technical features as well as pedigree. These evaluations and rankings provide significant information for any decision-maker to choose favorite simulation tools.
Finally, in the tenth research work entitled “Research of Low Voltage Shore Power Supply Used on Shipping Based on Sliding Control,” by G. Yang et al., to solve the problem of fuel pollution, the diesel fuel for power generation of marine was abandoned and shore power supply have been proposed at the historic moment. The shore power supply which needs transferring 380V/50Hz to 450V/60Hz is used on shipping who need this kind of power, so effectively curbs the emissions of pollution gas into the air, and achieves the purpose of improving the environment. At the same time, in order to achieve better control, in this articel, sliding mode control is applied to the closed loop system. The structure of the main circuit, drive circuit and control system are described and the design of critical parameters are provided.
The editors of JECEI wish to take this opportunity to thank the scientists and reviewers around the world who have contributed their time and expertise in the preparation of the seventh issue of the journal.
