H.5. Image Processing and Computer Vision
51. A stack-based chaotic algorithm for encryption of colored images

H. Khodadadi; O. Mirzaei

Volume 5, Issue 1 , Winter 2017, , Pages 29-37

  In this paper, a new method is presented for encryption of colored images. This method is based on using stack data structure and chaos which make the image encryption algorithm more efficient and robust. In the proposed algorithm, a series of data whose range is between 0 and 3 is generated using chaotic ...  Read More

52. Feature selection using genetic algorithm for classification of schizophrenia using fMRI data

Hossein Shahamat; Ali A. Pouyan

Volume 3, Issue 1 , Winter 2015, , Pages 30-37

  In this paper we propose a new method for classification of subjects into schizophrenia and control groups using functional magnetic resonance imaging (fMRI) data. In the preprocessing step, the number of fMRI time points is reduced using principal component analysis (PCA). Then, independent component ...  Read More

H.6.3.1. Classifier design and evaluation
53. Exploiting Associations between Class Labels in Multi-label Classification

Z. Mirzamomen; Kh. Ghafooripour

Volume 7, Issue 1 , Winter 2019, , Pages 35-45

  Multi-label classification has many applications in the text categorization, biology and medical diagnosis, in which multiple class labels can be assigned to each training instance simultaneously. As it is often the case that there are relationships between the labels, extracting the existing relationships ...  Read More

H.6.5.13. Signal processing
54. Interval Type-II Fuzzy H∞ Frequency Control for an Island Microgrid

F. Sabahi

Volume 8, Issue 1 , Winter 2020, , Pages 39-48

  Frequency control is one of the key parts for the arrangement of the performance of a microgrid (MG) system. Theoretically, model-based controllers may be the ideal control mechanisms; however, they are highly sensitive to model uncertainties and have difficulty with preserving robustness. The presence ...  Read More

I. Computer Applications
55. Color Reduction in Hand-drawn Persian Carpet Cartoons before Discretization using image segmentation and finding edgy regions

M. Fateh; E. Kabir

Volume 6, Issue 1 , Winter 2018, , Pages 47-58

  In this paper, we present a method for color reduction of Persian carpet cartoons that increases both speed and accuracy of editing. Carpet cartoons are in two categories: machine-printed and hand-drawn. Hand-drawn cartoons are divided into two groups: before and after discretization. The purpose of ...  Read More

56. Designing an adaptive fuzzy control for robot manipulators using PSO

F. Solaimannouri; M. Haddad zarif; M. M. Fateh

Volume 2, Issue 2 , Summer 2014, , Pages 125-133

  This paper presents designing an optimal adaptive controller for tracking control of robot manipulators based on particle swarm optimization (PSO) algorithm. PSO algorithm has been employed to optimize parameters of the controller and hence to minimize the integral square of errors (ISE) as a performance ...  Read More

C. Software/Software Engineering
57. Improving the performance of MFCC for Persian robust speech recognition

D. Darabian; H. Marvi; M. Sharif Noughabi

Volume 3, Issue 2 , Summer 2015, , Pages 149-156

  The Mel Frequency cepstral coefficients are the most widely used feature in speech recognition but they are very sensitive to noise. In this paper to achieve a satisfactorily performance in Automatic Speech Recognition (ASR) applications we introduce a noise robust new set of MFCC vector estimated through ...  Read More

C. Software/Software Engineering
58. Bridging the semantic gap for software effort estimation by hierarchical feature selection techniques

S. Beiranvand; M.A. Z.Chahooki

Volume 4, Issue 2 , Summer 2016, , Pages 157-168

  Software project management is one of the significant activates in the software development process. Software Development Effort Estimation (SDEE) is a challenging task in the software project management. SDEE is an old activity in computer industry from 1940s and has been reviewed several times. A SDEE ...  Read More

C.3. Software Engineering
59. A Hybrid Meta-heuristic Approach to Cope with State Space Explosion in Model Checking Technique for Deadlock Freeness

N. Rezaee; H. Momeni

Volume 8, Issue 2 , Spring 2020, , Pages 189-199

  Model checking is an automatic technique for software verification through which all reachable states are generated from an initial state to finding errors and desirable patterns. In the model checking approach, the behavior and structure of system should be modeled. Graph transformation system is a ...  Read More

H.4.6. Computational Geometry and Object Modeling
60. A New Ontology-Based Approach for Human Activity Recognition from GPS Data

A. Mousavi; A. Sheikh Mohammad Zadeh; M. Akbari; A. Hunter

Volume 5, Issue 2 , Summer 2017, , Pages 197-210

  Mobile technologies have deployed a variety of Internet–based services via location based services. The adoption of these services by users has led to mammoth amounts of trajectory data. To use these services effectively, analysis of these kinds of data across different application domains is required ...  Read More

H.6.2.2. Fuzzy set
61. Developing a Course Recommender by Combining Clustering and Fuzzy Association Rules

Sh. Asadi; Seyed M. b. Jafari; Z. Shokrollahi

Volume 7, Issue 2 , Spring 2019, , Pages 249-262

  Each semester, students go through the process of selecting appropriate courses. It is difficult to find information about each course and ultimately make decisions. The objective of this paper is to design a course recommender model which takes student characteristics into account to recommend appropriate ...  Read More

D. Data
62. Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms

M. Abdar; M. Zomorodi-Moghadam

Volume 6, Issue 2 , Summer 2018, , Pages 277-285

  In this paper the accuracy of two machine learning algorithms including SVM and Bayesian Network are investigated as two important algorithms in diagnosis of Parkinson’s disease. We use Parkinson's disease data in the University of California, Irvine (UCI). In order to optimize the SVM algorithm, ...  Read More

G.3.2. Logical Design
63. Fast Mux-based Adder with Low Delay and Low PDP

H. Tavakolaee; Gh. Ardeshir; Y. Baleghi

Volume 7, Issue 3 , Summer 2019, , Pages 385-392

  Adders, as one of the major components of digital computing systems, have a strong influence on their performance. There are various types of adders, each of which uses a different algorithm to do addition with a certain delay. In addition to low computational delay, minimizing power consumption is also ...  Read More

H.5. Image Processing and Computer Vision
64. Video Abstraction in H.264/AVC Compressed Domain

A. R. Yamghani; F. Zargari

Volume 7, Issue 4 , Autumn 2019, , Pages 521-535

  Video abstraction allows searching, browsing and evaluating videos only by accessing the useful contents. Most of the studies are using pixel domain, which requires the decoding process and needs more time and process consuming than compressed domain video abstraction. In this paper, we present a new ...  Read More

F.2.7. Optimization
65. Applications of two new algorithms of cuckoo optimization (CO) and forest optimization (FO) for solving single row facility layout problem (SRFLP)

M. Maadi; M. Javidnia; M. Ghasemi

Volume 4, Issue 1 , Winter 2016, , Pages 35-48

  Nowadays, due to inherent complexity of real optimization problems, it has always been a challenging issue to develop a solution algorithm to these problems. Single row facility layout problem (SRFLP) is a NP-hard problem of arranging a number of rectangular facilities with varying length on one side ...  Read More

Timing analysis
66. Fuzzy clustering of time series data: A particle swarm optimization approach

Z. Izakian; M. Mesgari

Volume 3, Issue 1 , Winter 2015, , Pages 39-46

  With rapid development in information gathering technologies and access to large amounts of data, we always require methods for data analyzing and extracting useful information from large raw dataset and data mining is an important method for solving this problem. Clustering analysis as the most commonly ...  Read More

H.6.3.2. Feature evaluation and selection
67. Feature extraction of hyperspectral images using boundary semi-labeled samples and hybrid criterion

M. Imani; H. Ghassemian

Volume 5, Issue 1 , Winter 2017, , Pages 39-53

  Feature extraction is a very important preprocessing step for classification of hyperspectral images. The linear discriminant analysis (LDA) method fails to work in small sample size situations. Moreover, LDA has poor efficiency for non-Gaussian data. LDA is optimized by a global criterion. Thus, it ...  Read More

G.3.9. Database Applications
68. Using Combined Descriptive and Predictive Methods of Data Mining for Coronary Artery Disease Prediction: a Case Study Approach

M. Shamsollahi; A. Badiee; M. Ghazanfari

Volume 7, Issue 1 , Winter 2019, , Pages 47-58

  Heart disease is one of the major causes of morbidity in the world. Currently, large proportions of healthcare data are not processed properly, thus, failing to be effectively used for decision making purposes. The risk of heart disease may be predicted via investigation of heart disease risk factors ...  Read More

H.6.2.2. Fuzzy set
69. Improvement of Rule Generation Methods for Fuzzy Controller

N. Mohammadkarimi; V. Derhami

Volume 8, Issue 1 , Winter 2020, , Pages 49-54

  This paper proposes fuzzy modeling using obtained data. Fuzzy system is known as knowledge-based or rule-bases system. The most important part of fuzzy system is rule-base. One of problems of generation of fuzzy rule with training data is inconsistence data. Existence of inconsistence and uncertain states ...  Read More

F.2.7. Optimization
70. A Hybrid Meta-Heuristic Algorithm based on Imperialist Competition Algorithm

R. Roustaei; F. Yousefi Fakhr

Volume 6, Issue 1 , Winter 2018, , Pages 59-67

  The human has always been to find the best in all things. This Perfectionism has led to the creation of optimization methods. The goal of optimization is to determine the variables and find the best acceptable answer Due to the limitations of the problem, So that the objective function is minimum or ...  Read More

71. Employing data mining to explore association rules in drug addicts

Farzaneh Zahedi; Mohammad-Reza Zare-Mirakabad

Volume 2, Issue 2 , Summer 2014, , Pages 135-139

  Drug addiction is a major social, economic, and hygienic challenge that impacts on all the community and needs serious threat. Available treatments are successful only in short-term unless underlying reasons making individuals prone to the phenomenon are not investigated. Nowadays, there are some treatment ...  Read More

G.4. Information Storage and Retrieval
72. Web pages ranking algorithm based on reinforcement learning and user feedback

V. Derhami; J. Paksima; H. Khajah

Volume 3, Issue 2 , Summer 2015, , Pages 157-168

  The main challenge of a search engine is ranking web documents to provide the best response to a user`s query. Despite the huge number of the extracted results for user`s query, only a small number of the first results are examined by users; therefore, the insertion of the related results in the first ...  Read More

A.2. Control Structures and Microprogramming
73. Adaptive fuzzy pole placement for stabilization of non-linear systems

A. Karami-Mollaee

Volume 4, Issue 2 , Summer 2016, , Pages 169-176

  A new approach for pole placement of nonlinear systems using state feedback and fuzzy system is proposed. We use a new online fuzzy training method to identify and to obtain a fuzzy model for the unknown nonlinear system using only the system input and output. Then, we linearized this identified model ...  Read More

D. Data
74. Community Detection using a New Node Scoring and Synchronous Label Updating of Boundary Nodes in Social Networks

M. Zarezade; E. Nourani; Asgarali Bouyer

Volume 8, Issue 2 , Spring 2020, , Pages 201-212

  Community structure is vital to discover the important structures and potential property of complex networks. In recent years, the increasing quality of local community detection approaches has become a hot spot in the study of complex network due to the advantages of linear time complexity and applicable ...  Read More

H.3.15.2. Computational neuroscience
75. An Emotion Recognition Approach based on Wavelet Transform and Second-Order Difference Plot of ECG

A. Goshvarpour; A. Abbasi; A. Goshvarpour

Volume 5, Issue 2 , Summer 2017, , Pages 211-221

  Emotion, as a psychophysiological state, plays an important role in human communications and daily life. Emotion studies related to the physiological signals are recently the subject of many researches. In This study a hybrid feature based approach was proposed to examine affective states. To this effect, ...  Read More