2018-10-16T03:21:54Z
http://jacr.iausari.ac.ir/?_action=export&rf=summon&issue=1445
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
Optimization of Bang-of-Bang TS-Fuzzy Based via DARLA Technique for ABS System
Nahid
Ebrahimi Meymand
Aliakbar
Gharaveisi
<em>Anti-lock Braking System (ABS) which is a nonlinear and time variant system may not be easily controlled by classic control methods. This is due to the fact that classic linear controllers are just capable of controlling a specific plant in small region of state space. To overcome this problem, a more powerful control technique must be employed for complex nonlinear plants. Fuzzy controllers are potential candidates for the control of such systems, while they have an intrinsic ability to control a complex set of dynamics like ABS in an appropriate wider region in the state space.This paper introduces a new zero order Takagi-Sugeno fuzzy controller. The input membership functions of the proposed controller have been optimized such that the ABS performance enhances over different braking situations. Simulation shows the effectiveness of the proposed controller under various road conditions. The optimization is done by using DARLA, a powerful heuristic technique.</em>
Anti-lock Braking System (ABS)
Discrete Action Reinforcement Learning Automata (DARLA)
Fuzzy Controller
2014
08
01
1
12
http://jacr.iausari.ac.ir/article_7766_5a6bd9f0c00112b26e71f3603c4508bf.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
Improving Short-Term Wind Power Prediction with Neural Network and ICA Algorithm and Input Feature Selection
Elham
Imaie
Abdolreza
Sheikholeslami
Roya
Ahmadi Ahangar
<em>According to this fact that wind is now a part of global energy portfolio and due to unreliable and discontinuous production of wind energy; prediction of wind power value is proposed as a main necessity. In recent years, various methods have been proposed for wind power prediction. In this paper the prediction structure involves feature selection and use of Artificial Neural Network (ANN). In this paper, feature selection tool is applied in filtering of inappropriate and irrelevant inputs of neural network and is performed on the biases of mutual information. After determining appropriate inputs, the wind power value for the next 24-hours is predicted using neural network in which BP algorithm and PSO and ICA evolutionary algorithms are used as training algorithm. With investigation and compare numerical results, better performance of PSO and ICA evolutionary algorithm is deduced with respect to BP algorithm. More accurate survey will result in more proper efficiency of imperialist competitive algorithm (ICA) in comparison to swarm particle algorithm. Thus, in this paper; accuracy of the wind power prediction for the next 24-hours is improved considerably using mutual information and providing an irrelevancy filter for reducing the input dimension by eliminating the irrelevant candidates and more effectively using Imperialist competitive evolutionary algorithm for training the neural network.</em>
Neural Networks
Wind Power Prediction
PSO Algorithm
ICA Algorithm
Feature Selection
mutual information
2014
08
01
13
34
http://jacr.iausari.ac.ir/article_7767_229a800cb945ed26023fe832da762292.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
Novel Texture Description and Face Identification Methods by Defining Bridle Paths and Using Gabor Phases
Morteza
Eliasi
Mohammad Taghi
Manzuri
Zohreh
Yaghoubi
Ardalan
Eliasi
<em>Identification based on faces is still a useful method for many applications and face recognition developing is an active research Field. In this paper, a novel face identification method is proposed. The proposed method (Bridle Path on Gabor Phase (BPGP)) is based on extracting texture patterns from phases of the Gabor wavelet. Also, in order to describe the textures, a novel texture descriptor method (Bridle Path) is proposed to extract the features from textures. The Bridle Path method inspired by LBP method and brings some advantages such as lower feature vector length and higher texture description capability in comparison with LBP. Experimental results shows that, Bridle Path texture descriptor is a powerful tool for describing textures and consequently proposed face recognition method (BPGP) yields high identification performance compared to other methods.</em>
Face Identification
Texture Description
Gabor Wavelet
2014
08
01
35
53
http://jacr.iausari.ac.ir/article_7768_e6ec99d75ad9387bd3d60fb3631cffaa.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
Flexible Beam Robust Loop Shaping Controller Design Using Particle Swarm Optimization
Roja
Eini
<em>In this paper a new strategy is proposed to design a fixed-structure robust controller for a flexible beam. Robust controller designed by the conventional </em> <em> loop shaping method is not appropriate for a beam because of its high order and complicated form. Fixed-structure </em> <em> loop shaping control in conjunction with particle swarm optimization (PSO)algorithm is used to overcome this drawback. The performance and robust stability conditions of the </em> <em> loop shaping controller are formulated as the cost function in the optimization problem. PSO is adopted to optimize the parameters and cost function. The proposed control design and </em> <em> loop shaping method are successfully applied on the flexible beam, and results of the two approaches are compared. Simulation results show the superiorities of the proposed controller in terms of having a lower order and simple structure; besides the beam stability and robust performance are retained as well. Also in comparison to the solutions based on genetic algorithms, the use of PSO shows better efficiency in terms of computational time.</em>
Fixed-structure
Robust controller
Flexible beam
H_∞loop shaping
particle swarm optimization
2014
08
01
55
67
http://jacr.iausari.ac.ir/article_7769_19b7b6f539e2fab447d6274756fbc7a5.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
Economic Load Dispatch with Considering the Valve-Point Effects and Ramp Rate Limits of Generators Using Evolutionary Algorithms
Mostafa
Ramzanpour
Hamdi
Abdi
<em>Nowadays, economic load dispatch between generation units with least cost involved is one of the most important issues in utilizing power systems. In this paper, a new method i.e. Water Cycle Algorithm (WCA) which is similar to other intelligent algorithm and is based on swarm, is employed in order to solve the economic load dispatch problem between power plants. WCA is used to solve complicated problems including non-linear cost functions such as the constraint for input steam valve, constraint for loss, ramp rate of generators and prohibited operating zones of generators’ production. This algorithm is employed on a system with 3 units and load demand of 850 MW and on a system with 15 units and load demand of 2630 MW with and without considering the constraints. The results of the paper comparing to the results of the other valid papers show that the proposed algorithm can be used to solve in any kind of economic dispatch problems with proper results.</em>
Economic load dispatch
Water Cycle Algorithm
valve- point effect
2014
08
01
69
84
http://jacr.iausari.ac.ir/article_7770_da5ee293c3f758d935a477194104417f.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
An Analytical algorithm of component-Based Heterogeneous Software Architectural Styles performance prediction
Golnaz
Aghaee Ghazvini
Sima
Emadi
<em>With regard to the society’s need for complicated software and high level of expenses on its development, it is necessary to take all stakeholders’ requirements and the demands into consideration, before any investments and put on the design and utilization stages. Software architecture is a technical description of a software system that indicates components and their relationships between them. In fact architecture style is a set of principles used by a software architect to design software architecture. Nowadays, this is a common behavior among the software architects in designing any software. As “Performance” is the most important qualitative features chosen for the assessment, the main objective of this research is studying the effect of various styles on its non-functional requirements, using Markov model, so that the architect can choose a suitable style based on qualitative and precise criteria. In this paper with regards to the results obtained based on homogeneous style, an algorithm has been presented to generalize the assessment method for the heterogeneous styles. Finally, to represent the correctness of the proposed algorithm, an illustrative example has been presented.</em>
Software architecture
Markov model
Architectural styles
Performance attribute
homogeneous styles
Heterogeneous styles
2014
08
01
85
100
http://jacr.iausari.ac.ir/article_7771_155bef72c8fb9024cdf1234189f14fd9.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
An Optimal Similarity Measure for Collaborative Filtering Using Firefly Algorithm
Fatemeh
Shomalnasab
Mehdi
Sadeghzadeh
Mansour
Esmaeilpour
<em>Recommender</em> <em>Systems</em> (RS) <em>provide</em> <em>personalized</em> <em>recommendation according to</em> <em>user need by analyzing</em> <em>behavior of users</em> <em>and</em> <em>gathering their</em> <em>information</em>. One of the algorithms used in recommender systems is user-based Collaborative Filtering (CF) method. <em>The idea is</em> <em>that if</em> <em>users</em> <em>have</em> <em>similar preferences</em> <em>in the past, they will</em> <em>probably have</em> <em>similar</em> <em>preferences in the future</em>. <em>The important part of</em> <em>collaborative</em> <em>filtering</em> <em>algorithms</em> <em>is allocated to</em> <em>determine similarity between</em> <em>objects. Similarities between objects are classified to user-based similarity and item-based similarity. The most popular used</em> <em>similarity metrics</em> <em>in recommender systems are Pearson correlation coefficient, Spearman rank correlation, and Cosine</em> <em>similarity</em> <em>measure.</em> <em>Until now, little computation has been made for optimal similarity in collaborative filtering by researchers.</em><em>For this reason, in this</em><em>research, we</em><em>propose</em><em>an</em><em> optimal </em><em>similarity</em><em>measure via a simple linear combination of values and ratio of ratings for user-based collaborative filtering by use of</em><em>Firefly</em><em>algorithm; and we compare</em><em> our experimental results with Pearson traditional similarity measure and optimal similarity measure based on genetic algorithm. Experimental results on real datasets show that proposed method not only improves recommendation accuracy significantly but also increases quality of prediction and recommendation performance.</em>
Recommender System
Collaborative Filtering
Similarity measure
firefly algorithm
2014
08
01
101
111
http://jacr.iausari.ac.ir/article_7772_6d85eb6b29ed54d2b2f369ed8d75bbaf.pdf
Journal of Advances in Computer Research
JACR
2345-606X
2345-606X
2014
5
3
A Routing Algorithm based on Fuzzy Clustering and Minimum Cost Tree (FCMCT) in Wireless Sensor Network
Maryam
Javaherian
Abolfazl
T.Haghighat
<em>Nowadays, wireless sensor network has been of interest to investigators and the greatest challenge in this part is the limited energy of sensors. Sensors usually are in the harsh environments and transit in these environments is hard and impossible and moreover the nodes use non- replaceable batteries. Because of this, saving energy is very important. In this paper we tried to decrease hard and complex computing with using soft computing such as fuzzy logic and we used it in cluster head selection part. Hard and complex computing can waist energy, because of this, we used some techniques to solve this problem. Minimum cost tree (MCT) helps to find minimum path, so we used this technique for intra cluster routing and again more over we used distributed source coding (DSC) technique for aggregating data. Finally all of methods could reduce energy consumption and increased network lifetime. Proposed algorithm is called FCMCT and simulation and results show improvement.</em>
wireless sensor networks
Routing
Clustering
Fuzzy logic
Network lifetime
2014
08
01
113
123
http://jacr.iausari.ac.ir/article_7773_6de8e67bb2d130eeb2996547d9abd8be.pdf