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)

H.6.4. Clustering
Grouping Objects to Homogeneous Classes Satisfying Requisite Mass

M. Manteqipour; A.R. Ghaffari Hadigheh; R. Mahmoodvand; A. Safari

Volume 6, Issue 1 , March 2018, , Pages 163-175


  Grouping datasets plays an important role in many scientific researches. Depending on data features and applications, different constrains are imposed on groups, while having groups with similar members is always a main criterion. In this paper, we propose an algorithm for grouping the objects with random ...  Read More

D.3. Data Storage Representations
Drought Monitoring and Prediction using K-Nearest Neighbor Algorithm

E. Fadaei-Kermani; G. A Barani; M. Ghaeini-Hessaroeyeh

Volume 5, Issue 2 , July 2017, , Pages 319-325


  Drought is a climate phenomenon which might occur in any climate condition and all regions on the earth. Effective drought management depends on the application of appropriate drought indices. Drought indices are variables which are used to detect and characterize drought conditions. In this study, it ...  Read More

G.3.5. Systems
Assessment Methodology for Anomaly-Based Intrusion Detection in Cloud Computing

M. Rezvani

Volume 6, Issue 2 , July 2018, , Pages 387-397


  Cloud computing has become an attractive target for attackers as the mainstream technologies in the cloud, such as the virtualization and multitenancy, permit multiple users to utilize the same physical resource, thereby posing the so-called problem of internal facing security. Moreover, the traditional ...  Read More

Prioritize the ordering of URL queue in Focused crawler

Deepika Koundal

Volume 2, Issue 1 , March 2014, , Pages 25-31


  The enormous growth of the World Wide Web in recent years has made it necessary to perform resource discovery efficiently. For a crawler it is not an simple task to download the domain specific web pages. This unfocused approach often shows undesired results. Therefore, several new ideas have been proposed, ...  Read More

F.2.7. Optimization
A Combined Metaheuristic Algorithm for the Vehicle Routing Problem and its Open Version

M. YousefiKhoshbakht; N. Mahmoodi Darani

Volume 7, Issue 1 , January 2019, , Pages 169-179


  Abstract: The Open Vehicle Routing Problem (OVRP) is one of the most important extensions of the vehicle routing problem (VRP) that has many applications in industrial and service. In the VRP, a set of customers with a specified demand of goods are given and a depot where a fleet of identical capacitated ...  Read More

H.3.2.15. Transportation
New Approaches to Analyze Gasoline Rationing

S. Mostafaei; H. Ganjavi; R. Ghodsi

Volume 6, Issue 1 , March 2018, , Pages 177-190


  In this paper, the relation among factors in the road transportation sector from March, 2005 to March, 2011 is analyzed. Most of the previous studies have economical point of view on gasoline consumption. Here, a new approach is proposed in which different data mining techniques are used to extract meaningful ...  Read More

G.3.5. Systems
Fractional Modeling and Analysis of Buck Converter in CCM Mode Peration

A. Moshar Movahhed; H. Toossian Shandiz; Syed K. Hoseini Sani

Volume 5, Issue 2 , July 2017, , Pages 327-335


  In this paper fractional order averaged model for DC/DC Buck converter in continues condition mode (CCM) operation is established. DC/DC Buck converter is one of the main components in the wind turbine system which is used in this research. Due to some practical restriction there weren’t exist ...  Read More

Document and Text Processing
Data Extraction using Content-Based Handles

A. Pouramini; S. Khaje Hassani; Sh. Nasiri

Volume 6, Issue 2 , July 2018, , Pages 399-407


  In this paper, we present an approach and a visual tool, called HWrap (Handle Based Wrapper), for creating web wrappers to extract data records from web pages. In our approach, we mainly rely on the visible page content to identify data regions on a web page. In our extraction algorithm, we inspired ...  Read More

Local gradient pattern - A novel feature representation for facial expression recognition

Mohammad Shahidol Islam

Volume 2, Issue 1 , March 2014, , Pages 33-38


  Many researchers adopt Local Binary Pattern for pattern analysis. However, the long histogram created by Local Binary Pattern is not suitable for large-scale facial database. This paper presents a simple facial pattern descriptor for facial expression recognition. Local pattern is computed based on local ...  Read More

H.3.13. Intelligent Web Services and Semantic Web
Semantic Constraint and QoS-Aware Large-Scale Web Service Composition

E. Shahsavari; S. Emadi

Volume 7, Issue 1 , January 2019, , Pages 181-191


  Service-oriented architecture facilitates the running time of interactions by using business integration on the networks. Currently, web services are considered as the best option to provide Internet services. Due to an increasing number of Web users and the complexity of users’ queries, simple ...  Read More

H.3.8. Natural Language Processing
Feature Engineering in Persian Dependency Parser

S. Lazemi; H. Ebrahimpour-komleh

Volume 7, Issue 3 , July 2019, , Pages 467-474


  Dependency parser is one of the most important fundamental tools in the natural language processing, which extracts structure of sentences and determines the relations between words based on the dependency grammar. The dependency parser is proper for free order languages, such as Persian. In this paper, ...  Read More

H.3. Artificial Intelligence
An Efficient Optimal Fractional Emotional Intelligent Controller for an AVR System in Power Systems

M. Moradi Zirkohi

Volume 7, Issue 1 , January 2019, , Pages 193-202


  In this paper, a high-performance optimal fractional emotional intelligent controller for an Automatic Voltage Regulator (AVR) in power system using Cuckoo optimization algorithm (COA) is proposed. AVR is the main controller within the excitation system that preserves the terminal voltage of a synchronous ...  Read More

Solution of Multi-Objective optimal reactive power dispatch using pareto optimality particle swarm optimization method

Syed Abbas Taher; Mojtaba Pakdel

Volume 2, Issue 1 , March 2014, , Pages 39-52


  For multi-objective optimal reactive power dispatch (MORPD), a new approach is proposed where simultaneous minimization of the active power transmission loss, the bus voltage deviation and the voltage stability index of a power system are achieved. Optimal settings of continuous and discrete control ...  Read More

H.6. Pattern Recognition
2D Dimensionality Reduction Methods without Loss

S. Ahmadkhani; P. Adibi; A. ahmadkhani

Volume 7, Issue 1 , January 2019, , Pages 203-212


  In this paper, several two-dimensional extensions of principal component analysis (PCA) and linear discriminant analysis (LDA) techniques has been applied in a lossless dimensionality reduction framework, for face recognition application. In this framework, the benefits of dimensionality reduction were ...  Read More

Classification of emotional speech using spectral pattern features

Ali Harimi; Ali Shahzadi; Alireza Ahmadyfard; Khashayar Yaghmaie

Volume 2, Issue 1 , March 2014, , Pages 53-61


  Speech Emotion Recognition (SER) is a new and challenging research area with a wide range of applications in man-machine interactions. The aim of a SER system is to recognize human emotion by analyzing the acoustics of speech sound. In this study, we propose Spectral Pattern features (SPs) and Harmonic ...  Read More

A Time-Frequency approach for EEG signal segmentation

Milad Azarbad; Hamed Azami; Saeid Sanei; A Ebrahimzadeh

Volume 2, Issue 1 , March 2014, , Pages 63-71


  The record of human brain neural activities, namely electroencephalogram (EEG), is generally known as a non-stationary and nonlinear signal. In many applications, it is useful to divide the EEGs into segments within which the signals can be considered stationary. Combination of empirical mode decomposition ...  Read More

Yarn tenacity modeling using artificial neural networks and development of a decision support system based on genetic algorithms

Mohaddeseh Dashti; Vali Derhami; Esfandiar Ekhtiyari

Volume 2, Issue 1 , March 2014, , Pages 73-78


  Yarn tenacity is one of the most important properties in yarn production. This paper addresses modeling of yarn tenacity as well as optimally determining the amounts of the effective inputs to produce yarn with desired tenacity. The artificial neural network is used as a suitable structure for tenacity ...  Read More

Query expansion based on relevance feedback and latent semantic analysis

Marziea Rahimi; Morteza Zahedi

Volume 2, Issue 1 , March 2014, , Pages 79-84


  Web search engines are one of the most popular tools on the Internet which are widely-used by expert and novice users. Constructing an adequate query which represents the best specification of users’ information need to the search engine is an important concern of web users. Query expansion is ...  Read More

Wireless sensor network design through genetic algorithm

Seyed Mojtaba Hosseinirad; S.K. Basu

Volume 2, Issue 1 , March 2014, , Pages 85-96


  In this paper, we study WSN design, as a multi-objective optimization problem using GA technique. We study the effects of GA parameters including population size, selection and crossover method and mutation probability on the design. Choosing suitable parameters is a trade-off between different network ...  Read More

Adaptive RBF network control for robot manipulators

M. M. Fateh; Seyed M. Ahmadi; S. Khorashadizadeh

Volume 2, Issue 2 , July 2014, , Pages 159-166


  TThe uncertainty estimation and compensation are challenging problems for the robust control of robot manipulators which are complex systems. This paper presents a novel decentralized model-free robust controller for electrically driven robot manipulators. As a novelty, the proposed controller employs ...  Read More

H.5. Image Processing and Computer Vision
Modified CLPSO-based fuzzy classification System: Color Image Segmentation

A.M. Shafiee; A. M. Latif

Volume 2, Issue 2 , July 2014, , Pages 167-179


  Fuzzy segmentation is an effective way of segmenting out objects in images containing both random noise and varying illumination. In this paper, a modified method based on the Comprehensive Learning Particle Swarm Optimization (CLPSO) is proposed for pixel classification in HSI color space by selecting ...  Read More

H.3.10. Robotics
Discrete-time repetitive optimal control: Robotic manipulators

M. M. Fateh; M. Baluchzadeh

Volume 4, Issue 1 , March 2016, , Pages 117-124


  This paper proposes a discrete-time repetitive optimal control of electrically driven robotic manipulators using an uncertainty estimator. The proposed control method can be used for performing repetitive motion, which covers many industrial applications of robotic manipulators. This kind of control ...  Read More

F.2.7. Optimization
Chaotic Genetic Algorithm based on Explicit Memory with a new Strategy for Updating and Retrieval of Memory in Dynamic Environments

M. Mohammadpour; H. Parvin; M. Sina

Volume 6, Issue 1 , March 2018, , Pages 191-205


  Many of the problems considered in optimization and learning assume that solutions exist in a dynamic. Hence, algorithms are required that dynamically adapt with the problem’s conditions and search new conditions. Mostly, utilization of information from the past allows to quickly adapting changes ...  Read More

F.2.7. Optimization
A Gravitational Search Algorithm-Based Single-Center of Mass Flocking Control for Tracking Single and Multiple Dynamic Targets for Parabolic Trajectories in Mobile Sensor Networks

E. Khodayari; V. Sattari-Naeini; M. Mirhosseini

Volume 6, Issue 1 , March 2018, , Pages 207-217


  Developing optimal flocking control procedure is an essential problem in mobile sensor networks (MSNs). Furthermore, finding the parameters such that the sensors can reach to the target in an appropriate time is an important issue. This paper offers an optimization approach based on metaheuristic methods ...  Read More

A New Single-Display Intelligent Adaptive Interface for Controlling a Group of UAVs

M. Ilbeygi; M.R. Kangavari

Volume 7, Issue 2 , April 2019, , Pages 341-353


  The increasing use of unmanned aerial vehicles (UAVs) or drones in different civil and military operations has attracted attention of many researchers and science communities. One of the most notable challenges in this field is supervising and controlling a group or a team of UAVs by a single user. Thereupon, ...  Read More