H.6.5.2. Computer vision
1. Camera Arrangement in Visual 3D Systems using Iso-disparity Model to Enhance Depth Estimation Accuracy

M. Karami; A. Moosavie nia; M. Ehsanian

Volume 8, Issue 1 , Winter 2020, Pages 1-12

  In this paper we address the problem of automatic arrangement of cameras in a 3D system to enhance the performance of depth acquisition procedure. Lacking ground truth or a priori information, a measure of uncertainty is required to assess the quality of reconstruction. The mathematical model of iso-disparity ...  Read More

F.4. Probability and Statistics
2. A Sharp Sufficient Condition for Sparsity Pattern Recovery

Z. Shaeiri; M. R. Karami; A. Aghagolzadeh

Volume 8, Issue 1 , Winter 2020, Pages 13-23

  Sufficient number of linear and noisy measurements for exact and approximate sparsity pattern/support set recovery in the high dimensional setting is derived. Although this problem as been addressed in the recent literature, there is still considerable gaps between those results and the exact limits ...  Read More

D. Data
3. An Evolutionary Multi-objective Discretization based on Normalized Cut

M. Hajizadeh-Tahan; M. Ghasemzadeh

Volume 8, Issue 1 , Winter 2020, Pages 25-37

  Learning models and related results depend on the quality of the input data. If raw data is not properly cleaned and structured, the results are tending to be incorrect. Therefore, discretization as one of the preprocessing techniques plays an important role in learning processes. The most important ...  Read More

H.6.5.13. Signal processing
4. 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

H.6.2.2. Fuzzy set
5. 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

H.3. Artificial Intelligence
6. Controller Placement in Software Defined Network using Iterated Local Search

A. Moradi; A. Abdi Seyedkolaei; Seyed A. Hosseini

Volume 8, Issue 1 , Winter 2020, Pages 55-65

  Software defined network is a new computer network architecture who separates controller and data layer in network devices such as switches and routers. By the emerge of software defined networks, a class of location problems, called controller placement problem, has attracted much more research attention. ...  Read More

H.5. Image Processing and Computer Vision
7. Segmentation Assisted Object Distinction for Direct Volume Rendering

A. Azimzadeh Irani; R. Pourgholi

Volume 8, Issue 1 , Winter 2020, Pages 67-82

  Ray Casting is a direct volume rendering technique for visualizing 3D arrays of sampled data. It has vital applications in medical and biological imaging. Nevertheless, it is inherently open to cluttered classification results. It suffers from overlapping transfer function values and lacks a sufficiently ...  Read More

H.3. Artificial Intelligence
8. QoS-based Web Service Recommendation using Popular-dependent Collaborative Filtering

S. Adeli; P. Moradi

Volume 8, Issue 1 , Winter 2020, Pages 83-93

  Since, most of the organizations present their services electronically, the number of functionally-equivalent web services is increasing as well as the number of users that employ those web services. Consequently, plenty of information is generated by the users and the web services that lead to the users ...  Read More

H.6.5.10. Remote sensing
9. Nonparametric Spectral-Spatial Anomaly Detection

M. Imani

Volume 8, Issue 1 , Winter 2020, Pages 95-103

  Due to abundant spectral information contained in the hyperspectral images, they are suitable data for anomalous targets detection. The use of spatial features in addition to spectral ones can improve the anomaly detection performance. An anomaly detector, called nonparametric spectral-spatial detector ...  Read More

H.7. Simulation, Modeling, and Visualization
10. 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 , Winter 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

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

S. Asadi Amiri

Volume 8, Issue 1 , Winter 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

H.3. Artificial Intelligence
12. Using an Evaluator Fixed Structure Learning Automata in Sampling of Social Networks

S. Roohollahi; A. Khatibi Bardsiri; F. Keynia

Volume 8, Issue 1 , Winter 2020, Pages 127-148

  Social networks are streaming, diverse and include a wide range of edges so that continuously evolves over time and formed by the activities among users (such as tweets, emails, etc.), where each activity among its users, adds an edge to the network graph. Despite their popularities, the dynamicity and ...  Read More