F.2.7. Optimization
1. Optimization of fuzzy membership functions via PSO and GA with application to quad rotor

B. Safaee; S. K. Kamaleddin Mousavi Mashhadi

Volume 5, Issue 1 , Winter 2017, Pages 1-10

  Quad rotor is a renowned underactuated Unmanned Aerial Vehicle (UAV) with widespread military and civilian applications. Despite its simple structure, the vehicle suffers from inherent instability. Therefore, control designers always face formidable challenge in stabilization and control goal. In this ...  Read More

A.1. General
2. Sub-transmission sub-station expansion planning based on bacterial foraging optimization algorithm

H. Kiani Rad; Z. Moravej

Volume 5, Issue 1 , Winter 2017, Pages 11-20

  In recent years, significant research efforts have been devoted to the optimal planning of power systems. Substation Expansion Planning (SEP) as a sub-system of power system planning consists of finding the most economical solution with the optimal location and size of future substations and/or feeders ...  Read More

H.5. Image Processing and Computer Vision
3. Iris localization by means of adaptive thresholding and Circular Hough Transform

S. Memar Zadeh; A. Harimi

Volume 5, Issue 1 , Winter 2017, Pages 21-28

  In this paper, a new iris localization method for mobile devices is presented. Our system uses both intensity and saturation threshold on the captured eye images to determine iris boundary and sclera area, respectively. Estimated iris boundary pixels which have been placed outside the sclera will be ...  Read More

H.5. Image Processing and Computer Vision
4. 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

H.6.3.2. Feature evaluation and selection
5. 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

F.2.11. Applications
6. Estimating scour below inverted siphon structures using stochastic and soft computing approaches

M. Fatahi; B. Lashkar-Ara

Volume 5, Issue 1 , Winter 2017, Pages 55-66

  This paper uses nonlinear regression, Artificial Neural Network (ANN) and Genetic Programming (GP) approaches for predicting an important tangible issue i.e. scours dimensions downstream of inverted siphon structures. Dimensional analysis and nonlinear regression-based equations was proposed for estimation ...  Read More

J.10.3. Financial
7. The application of data mining techniques in manipulated financial statement classification: The case of turkey

G. Ozdagoglu; A. Ozdagoglu; Y. Gumus; G. Kurt Gumus

Volume 5, Issue 1 , Winter 2017, Pages 67-77

  Predicting financially false statements to detect frauds in companies has an increasing trend in recent studies. The manipulations in financial statements can be discovered by auditors when related financial records and indicators are analyzed in depth together with the experience of auditors in order ...  Read More

I.3.7. Engineering
8. Artificial neural networks, genetic algorithm and response surface methods: The energy consumption of food and beverage industries in Iran

B. Hosseinzadeh Samani; H. HouriJafari; H. Zareiforoush

Volume 5, Issue 1 , Winter 2017, Pages 79-88

  In this study, the energy consumption in the food and beverage industries of Iran was investigated. The energy consumption in this sector was modeled using artificial neural network (ANN), response surface methodology (RSM) and genetic algorithm (GA). First, the input data to the model were calculated ...  Read More

A.10. Power Management
9. Using a new modified harmony search algorithm to solve multi-objective reactive power dispatch in deterministic and stochastic models

Kh. Valipour; A. Ghasemi

Volume 5, Issue 1 , Winter 2017, Pages 89-100

  The optimal reactive power dispatch (ORPD) is a very important problem aspect of power system planning and is a highly nonlinear, non-convex optimization problem because consist of both continuous and discrete control variables. Since the power system has inherent uncertainty, hereby, this paper presents ...  Read More

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

A. Mesrikhani; M. Davoodi

Volume 5, Issue 1 , Winter 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

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

Mohsen Khosravi; Mahdi Banejad; Heydar Toosian Shandiz

Volume 5, Issue 1 , Winter 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

I.3.7. Engineering
12. Prediction of maximum surface settlement caused by earth pressure balance shield tunneling using random forest

V. R. Kohestani; M. R. Bazarganlari; J. Asgari marnani

Volume 5, Issue 1 , Winter 2017, Pages 127-135

  Due to urbanization and population increase, need for metro tunnels, has been considerably increased in urban areas. Estimating the surface settlement caused by tunnel excavation is an important task especially where the tunnels are excavated in urban areas or beneath important structures. Many models ...  Read More

H.6.2.2. Fuzzy set
13. Direct adaptive fuzzy control of flexible-joint robots including actuator dynamics using particle swarm optimization

M. Moradizirkohi; S. Izadpanah

Volume 5, Issue 1 , Winter 2017, Pages 137-147

  In this paper a novel direct adaptive fuzzy system is proposed to control flexible-joints robot including actuator dynamics. The design includes two interior loops: the inner loop controls the motor position using proposed approach while the outer loop controls the joint angle of the robot using a PID ...  Read More