Original/Review Paper H.6. Pattern Recognition
1. IRDDS: Instance reduction based on Distance-based decision surface

J. Hamidzadeh

Volume 3, Issue 2 , Summer 2015, Pages 121-130


  In instance-based learning, a training set is given to a classifier for classifying new instances. In practice, not all information in the training set is useful for classifiers. Therefore, it is convenient to discard irrelevant instances from the training set. This process is known as instance reduction, ...  Read More

Original/Review Paper F.1. General
2. Data sanitization in association rule mining based on impact factor

A. Telikani; A. Shahbahrami; R. Tavoli

Volume 3, Issue 2 , Summer 2015, Pages 131-140


  Data sanitization is a process that is used to promote the sharing of transactional databases among organizations and businesses, it alleviates concerns for individuals and organizations regarding the disclosure of sensitive patterns. It transforms the source database into a released database so that ...  Read More

Review Article A.1. General
3. Designing stable neural identifier based on Lyapunov method

F. Alibakhshi; M. Teshnehlab; M. Alibakhshi; M. Mansouri

Volume 3, Issue 2 , Summer 2015, Pages 141-147


  The stability of learning rate in neural network identifiers and controllers is one of the challenging issues which attracts great interest from researchers of neural networks. This paper suggests adaptive gradient descent algorithm with stable learning laws for modified dynamic neural network (MDNN) ...  Read More

Original/Review Paper C. Software/Software Engineering
4. 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

Original/Review Paper G.4. Information Storage and Retrieval
5. 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

Original/Review Paper H.6.3.2. Feature evaluation and selection
6. Feature extraction in opinion mining through Persian reviews

E. Golpar-Rabooki; S. Zarghamifar; J. Rezaeenour

Volume 3, Issue 2 , Summer 2015, Pages 169-179


  Opinion mining deals with an analysis of user reviews for extracting their opinions, sentiments and demands in a specific area, which can play an important role in making major decisions in such area. In general, opinion mining extracts user reviews at three levels of document, sentence and feature. ...  Read More

Original/Review Paper H.6.3.3. Pattern analysis
7. Overlap-based feature weighting: The feature extraction of Hyperspectral remote sensing imagery

M. Imani; H. Ghassemian

Volume 3, Issue 2 , Summer 2015, Pages 181-190


  Hyperspectral sensors provide a large number of spectral bands. This massive and complex data structure of hyperspectral images presents a challenge to traditional data processing techniques. Therefore, reducing the dimensionality of hyperspectral images without losing important information is a very ...  Read More

Original/Review Paper H.3.12. Distributed Artificial Intelligence
8. A topology control algorithm for autonomous underwater robots in three-dimensional space using PSO

Z. Amiri; A. Pouyan; H Mashayekhi

Volume 3, Issue 2 , Summer 2015, Pages 191-201


  Recently, data collection from seabed by means of underwater wireless sensor networks (UWSN) has attracted considerable attention. Autonomous underwater vehicles (AUVs) are increasingly used as UWSNs in underwater missions. Events and environmental parameters in underwater regions have a stochastic nature. ...  Read More

Original/Review Paper H.3.8. Natural Language Processing
9. Comparing k-means clusters on parallel Persian-English corpus

A. Khazaei; M. Ghasemzadeh

Volume 3, Issue 2 , Summer 2015, Pages 203-208


  This paper compares clusters of aligned Persian and English texts obtained from k-means method. Text clustering has many applications in various fields of natural language processing. So far, much English documents clustering research has been accomplished. Now this question arises, are the results of ...  Read More

Original/Review Paper
10. Propensity based classification: Dehalogenase and non-dehalogenase enzymes

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

Volume 3, Issue 2 , Summer 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

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

M. Aghaei; A. Dastfan

Volume 3, Issue 2 , Summer 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

Original/Review Paper H.7. Simulation, Modeling, and Visualization
12. Improving the performance of UPQC under unbalanced and distortional load conditions: A new control method

R. Ghanizadeh; M. Ebadian

Volume 3, Issue 2 , Summer 2015, Pages 225-234


  This paper presents a new control method for a three-phase four-wire Unified Power Quality Conditioner (UPQC) to deal with the problems of power quality under distortional and unbalanced load conditions. The proposed control approach is the combination of instantaneous power theory and Synchronous Reference ...  Read More