Volume 12 (2024)
Volume 11 (2023)
Volume 10 (2022)
Volume 9 (2021)
Volume 8 (2020)
Volume 7 (2019)
Volume 6 (2018)
Volume 5 (2017)
Volume 4 (2016)
Volume 3 (2015)
Volume 2 (2014)
Volume 1 (2013)

G.2. Models and Principles
Governor design for hydropower plants by intelligent sliding mode variable structure control

D. Qian; L. Yu

Volume 4, Issue 1 , March 2016, , Pages 85-92


  This work proposes a neural-fuzzy sliding mode control scheme for a hydro-turbine speed governor system. Considering the assumption of elastic water hammer, a nonlinear mode of the hydro-turbine governor system is established. By linearizing this mode, a sliding mode controller is designed. The linearized ...  Read More

F.2.2. Interpolation
A Block-Wise random sampling approach: Compressed sensing problem

V. Abolghasemi; S. Ferdowsi; S. Sanei

Volume 3, Issue 1 , March 2015, , Pages 93-100


  The focus of this paper is to consider the compressed sensing problem. It is stated that the compressed sensing theory, under certain conditions, helps relax the Nyquist sampling theory and takes smaller samples. One of the important tasks in this theory is to carefully design measurement matrix (sampling ...  Read More

E.3. Analysis of Algorithms and Problem Complexity
Non-zero probability of nearest neighbor searching

A. Mesrikhani; M. Davoodi

Volume 5, Issue 1 , March 2017, , Pages 101-109


  Nearest Neighbor (NN) searching is a challenging problem in data management and has been widely studied in data mining, pattern recognition and computational geometry. The goal of NN searching is efficiently reporting the nearest data to a given object as a query. In most of the studies both the data ...  Read More

Using the Modified Shuffled Frog Leaping Algorithm for Optimal Sizing and location of Distributed Generation Resources for Reliability Improvement

Morteza Haydari; Mahdi Banejad; Amin Hahizadeh

Volume 1, Issue 2 , July 2013, , Pages 103-110


  Restructuring the recent developments in the power system and problems arising from construction as well as the maintenance of large power plants lead to increase in using the Distributed Generation (DG) resources. DG units due to its specifications, technology and location network connectivity can improve ...  Read More

H.7. Simulation, Modeling, and Visualization
Capturing Outlines of Planar Generic Images by Simultaneous Curve Fitting and Sub-division

A.R. Ebrahimi; Gh. Barid Loghmani; M. Sarfraz

Volume 8, Issue 1 , January 2020, , Pages 105-118


  In this paper, a new technique has been designed to capture the outline of 2D shapes using cubic B´ezier curves. The proposed technique avoids the traditional method of optimizing the global squared fitting error and emphasizes the local control of data points. A maximum error has been determined ...  Read More

Document and Text Processing
Automatic Construction of Persian ICT WordNet using Princeton WordNet

A. Ahmadi Tameh; M. Nassiri; M. Mansoorizadeh

Volume 7, Issue 1 , January 2019, , Pages 109-119


  WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word ...  Read More

H.3.2.5. Environment
Multi-Output Adaptive Neuro-Fuzzy Inference System for Prediction of Dissolved Metal Levels in Acid Rock Drainage: a Case Study

H. Fattahi; A. Agah; N. Soleimanpourmoghadam

Volume 6, Issue 1 , March 2018, , Pages 121-132


  Pyrite oxidation, Acid Rock Drainage (ARD) generation, and associated release and transport of toxic metals are a major environmental concern for the mining industry. Estimation of the metal loading in ARD is a major task in developing an appropriate remediation strategy. In this study, an expert system, ...  Read More

Propensity based classification: Dehalogenase and non-dehalogenase enzymes

R. Satpathy; V. B. Konkimalla; J. Ratha

Volume 3, Issue 2 , July 2015, , Pages 209-215


  The present work was designed to classify and differentiate between the dehalogenase enzyme to non–dehalogenases (other hydrolases) by taking the amino acid propensity at the core, surface and both the parts. The data sets were made on an individual basis by selecting the 3D structures of protein ...  Read More

H.3.14. Knowledge Management
Introducing an algorithm for use to hide sensitive association rules through perturb technique

M. Sakenian Dehkordi; M. Naderi Dehkordi

Volume 4, Issue 2 , July 2016, , Pages 219-227


  Due to the rapid growth of data mining technology, obtaining private data on users through this technology becomes easier. Association Rules Mining is one of the data mining techniques to extract useful patterns in the form of association rules. One of the main problems in applying this technique on ...  Read More

F.3.3. Graph Theor
A New Reliable Controller Placement Model for Software-Defined WANs

A. Jalili; M. Keshtgari

Volume 8, Issue 2 , April 2020, , Pages 269-277


  Software-Defined Network (SDNs) is a decoupled architecture that enables administrators to build a customizable and manageable network. Although the decoupled control plane provides flexible management and facilitates the task of operating the network, it is the vulnerable point of failure in SDN. To ...  Read More

Document and Text Processing
English-Persian Plagiarism Detection based on a Semantic Approach

F. Safi-Esfahani; Sh. Rakian; M.H. Nadimi-Shahraki

Volume 5, Issue 2 , July 2017, , Pages 275-284


  Plagiarism which is defined as “the wrongful appropriation of other writers’ or authors’ works and ideas without citing or informing them” poses a major challenge to knowledge spread publication. Plagiarism has been placed in four categories of direct, paraphrasing (rewriting), ...  Read More

H.3.2.6. Games and infotainment
An Adaptive Learning Game for Autistic Children using Reinforcement Learning and Fuzzy Logic

A.H. Khabbaz; A. Pouyan; M. Fateh; V. Abolghasemi

Volume 7, Issue 2 , April 2019, , Pages 321-329


  This paper, presents an adapted serious game for rating social ability in children with autism spectrum disorder (ASD). The required measurements are obtained by challenges of the proposed serious game. The proposed serious game uses reinforcement learning concepts for being adaptive. It is based on ...  Read More

H.3.15.3. Evolutionary computing and genetic algorithms
MHSubLex: Using Metaheuristic Methods for Subjectivity Classification of Microblogs

H.R Keshavarz; M. Saniee Abadeh

Volume 6, Issue 2 , July 2018, , Pages 341-353


  In Web 2.0, people are free to share their experiences, views, and opinions. One of the problems that arises in web 2.0 is the sentiment analysis of texts produced by users in outlets such as Twitter. One of main the tasks of sentiment analysis is subjectivity classification. Our aim is to classify the ...  Read More

Identification of Multiple Input-multiple Output Non-linear System Cement Rotary Kiln using Stochastic Gradient-based Rough-neural Network

Gh. Ahmadi; M. Teshnelab

Volume 8, Issue 3 , July 2020, , Pages 417-425


  Because of the existing interactions among the variables of a multiple input-multiple output (MIMO) nonlinear system, its identification is a difficult task, particularly in the presence of uncertainties. Cement rotary kiln (CRK) is a MIMO nonlinear system in the cement factory with a complicated mechanism ...  Read More

Document and Text Processing
External Plagiarism Detection based on Human Behaviors in Producing Paraphrases of Sentences in English and Persian Languages

A. Shojaie; F. Safi-Esfahani

Volume 7, Issue 3 , July 2019, , Pages 451-466


  With the advent of the internet and easy access to digital libraries, plagiarism has become a major issue. Applying search engines is one of the plagiarism detection techniques that converts plagiarism patterns to search queries. Generating suitable queries is the heart of this technique and existing ...  Read More

I.3.7. Engineering
A Technique for Improving Web Mining using Enhanced Genetic Algorithm

F. Nosratian; H. Nematzadeh; H. Motameni

Volume 7, Issue 4 , November 2019, , Pages 597-606


  World Wide Web is growing at a very fast pace and makes a lot of information available to the public. Search engines used conventional methods to retrieve information on the Web; however, the search results of these engines are still able to be refined and their accuracy is not high enough. One of the ...  Read More

H.3. Artificial Intelligence
Trajectory tracking of under-actuated nonlinear dynamic robots: Adaptive fuzzy hierarchical terminal sliding-mode control

Y. Vaghei; A. Farshidianfar

Volume 4, Issue 1 , March 2016, , Pages 93-102


  In recent years, underactuated nonlinear dynamic systems trajectory tracking, such as space robots and manipulators with structural flexibility, has become a major field of interest due to the complexity and high computational load of these systems. Hierarchical sliding mode control has been investigated ...  Read More

F.2.7. Optimization
Optimal adaptive leader-follower consensus of linear multi-agent systems: Known and unknown dynamics

F. Tatari; M. B. Naghibi-Sistani

Volume 3, Issue 1 , March 2015, , Pages 101-111


  In this paper, the optimal adaptive leader-follower consensus of linear continuous time multi-agent systems is considered. The error dynamics of each player depends on its neighbors’ information. Detailed analysis of online optimal leader-follower consensus under known and unknown dynamics is presented. ...  Read More

Estimation of LPC coefficients using Evolutionary Algorithms

Hossein Marvi; Zeynab Esmaileyan; Ali Harimi

Volume 1, Issue 2 , July 2013, , Pages 111-118


  The vast use of Linear Prediction Coefficients (LPC) in speech processing systems has intensified the importance of their accurate computation. This paper is concerned with computing LPC coefficients using evolutionary algorithms: Genetic Algorithm (GA), Particle Swarm Optimization (PSO), Dif-ferential ...  Read More

I.3.7. Engineering
Robust state estimation in power systems using pre-filtering measurement data

Mohsen Khosravi; Mahdi Banejad; Heydar Toosian Shandiz

Volume 5, Issue 1 , March 2017, , Pages 111-125


  State estimation is the foundation of any control and decision making in power networks. The first requirement for a secure network is a precise and safe state estimator in order to make decisions based on accurate knowledge of the network status. This paper introduces a new estimator which is able to ...  Read More

A.1. General
Salt and Pepper Noise Removal using Pixon-based Segmentation and Adaptive Median Filter

S. Asadi Amiri

Volume 8, Issue 1 , January 2020, , Pages 119-126


  Removing salt and pepper noise is an active research area in image processing. In this paper, a two-phase method is proposed for removing salt and pepper noise while preserving edges and fine details. In the first phase, noise candidate pixels are detected which are likely to be contaminated by noise. ...  Read More

Document and Text Processing
A survey on Automatic Text Summarization

N. Nazari; M. A. Mahdavi

Volume 7, Issue 1 , January 2019, , Pages 121-135


  Text summarization endeavors to produce a summary version of a text, while maintaining the original ideas. The textual content on the web, in particular, is growing at an exponential rate. The ability to decipher through such massive amount of data, in order to extract the useful information, is a major ...  Read More

H.3. Artificial Intelligence
BQIABC: A new Quantum-Inspired Artificial Bee Colony Algorithm for Binary Optimization Problems

F. Barani; H. Nezamabadi-pour

Volume 6, Issue 1 , March 2018, , Pages 133-143


  Artificial bee colony (ABC) algorithm is a swarm intelligence optimization algorithm inspired by the intelligent behavior of honey bees when searching for food sources. The various versions of the ABC algorithm have been widely used to solve continuous and discrete optimization problems in different ...  Read More

H.3.2.7. Industrial automation
A graph search algorithm: Optimal placement of passive harmonic filters in a power system

M. Aghaei; A. Dastfan

Volume 3, Issue 2 , July 2015, , Pages 217-224


  The harmonic in distribution systems becomes an important problem due to an increase in nonlinear loads. This paper presents a new approach based on a graph algorithm for optimum placement of passive harmonic filters in a multi-bus system, which suffers from harmonic current sources. The objective of ...  Read More

H.3. Artificial Intelligence
Prediction of rock strength parameters for an Iranian oil field using neuro-fuzzy method

M. Heidarian; H. Jalalifar; F. Rafati

Volume 4, Issue 2 , July 2016, , Pages 229-234


  Uniaxial compressive strength (UCS) and internal friction coefficient (µ) are the most important strength parameters of rock. They could be determined either by laboratory tests or from empirical correlations. The laboratory analysis sometimes is not possible for many reasons. On the other hand, ...  Read More