Software Engineering and Information Systems
Abdolghader pourali
Volume 3, Issue 1 , February 2017, Pages 1-10
Abstract
Software architecture is one of the most fundamental products in the process of software development in the areas of behavioral or non- behavioral features like availability or transformability change. There are different ways to evaluate software architecture one of which is the creation of application ...
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Software architecture is one of the most fundamental products in the process of software development in the areas of behavioral or non- behavioral features like availability or transformability change. There are different ways to evaluate software architecture one of which is the creation of application model. An executable model of software architecture is an official description of architecture which if used prior to the running of architecture, its final behavior and function will be observed and as a result possible problems could be elevated and promoted. In this study we aimed at availability evaluation in object- oriented style. To ensure the applicability of the style the UML diagrams, especially the sequence diagram, were used to exhibit the architectural behavior. In the later stages, as the UML diagram is inapplicable, the following operations were done. First, metric annotation is used to tag clichés. Then, the studied style diagram was transformed into an applicable one. Afterwards and following the design of petri, using CpnTools, the applicable model based on color petri net was evaluated. In this research the availability evaluation on an ATM for the N=5 users was tested and the results of evaluation showed that the higher the rate of availability (approximately %100) the higher is the rate of usability of the system when needed.
Computer Networks and Distributed Systems
Farhad Rad; hadi pazhokhzadeh; hamid parvin
Volume 3, Issue 1 , February 2017, Pages 11-18
Abstract
Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space reservation ...
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Nowadays, developed and developing countries using smart systems to solve their transportation problems. Parking guidance intelligent systems for finding an available parking space, are considered one of the architectural requirements in transportation. In this paper, we present a parking space reservation method based on adaptive neuro-fuzzy system(ANFIS) and multi-objective genetic algorithm. In modeling of this system, final destination, searching time and cost of parking space have been used. Also, we use the vehicle ad-hoc network (VANET) and time series, for traffic flow predict and choose the best path. The benefits of the proposed system are declining searching time, average the walking and travel time. Evaluations have been performed by the MATLAB and we can see that the proposed method makes a good sum of best cost which is useful and meaningful in a parking space reserved for drivers and facility managers. The simulation results show that the performance and accuracy of the method have been significantly improved compared to previous works.
Pattern Analysis and Intelligent Systems
asma naeimi; minoo soltanshahi; amir rajabi
Volume 3, Issue 1 , February 2017, Pages 19-30
Abstract
One of the most common and most dangerous diseases of blood fats are such as heart disease, diabetes and stroke, heart and brain. It can control the timely diagnosis, treatment and then prevention of complications is become very effective even without using medicine. Heart disease and diabetes file if ...
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One of the most common and most dangerous diseases of blood fats are such as heart disease, diabetes and stroke, heart and brain. It can control the timely diagnosis, treatment and then prevention of complications is become very effective even without using medicine. Heart disease and diabetes file if patients has useful information that can be used to estimate blood fat timely diagnosis. In this paper we introduce a method based on data mining according to the information of patients' medical records to predict and detect blood lipid cardiovascular. And to identify patients with high blood lipids,we use a category based on neural network without feedback and pso algorithm to train the neural network to determine the appropriate value to reduce error the weights of the neural network . Simulation is done in MATLAB environment by using Body Fat data set, it shows the accuracy of 93.22 percent compared to the same methods, which means high accurate, higher detection sensitivity and Democrats.
Software Engineering and Information Systems
mehdi Sadeghzadeh
Volume 3, Issue 1 , February 2017, Pages 31-38
Abstract
In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version ...
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In data grid, using reservation is accepted to provide scheduling and service quality. Users need to have an access to the stored data in geographical environment, which can be solved by using replication, and an action taken to reach certainty. As a result, users are directed toward the nearest version to access information. The most important point is to know in which sites and distributed system the produced versions are located. By selecting a suitable place for versions, the versions having performance, efficiency and lower access time are used. In this study, an efficient method is presented to select the best place for those versions created in data grid by using the users’ firefly algorithm which is compared with cooling algorithm. Results show that firefly algorithm has better performance than others.This means firefly algorithm is better and more accurate than genetic algorithm and particle swarm optimization in data replication task.
Computer Architecture and Digital Systems
Ehsan Abbasi; Nader Naghavi
Volume 3, Issue 1 , February 2017, Pages 41-44
Abstract
Proportional + Integral + Derivative (PID) controllers are widely used in engineering applications such that more than half of the industrial controllers are PID controllers. There are many methods for tuning the PID parameters in the literature. In this paper an intelligent technique based on eXtended ...
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Proportional + Integral + Derivative (PID) controllers are widely used in engineering applications such that more than half of the industrial controllers are PID controllers. There are many methods for tuning the PID parameters in the literature. In this paper an intelligent technique based on eXtended Classifier System (XCS) is presented to tune the PID controller parameters. The PID controller with the gains obtained by the proposed method can robustly control nonlinear multiple-input–multiple-output (MIMO) plants in any form, such as robot dynamics and so on. The performance of this method is evaluated with Integral Squared Error (ISE) criteria which is one of the most popular optimizing methods for the PID controller parameters. Both methods are used to control the ball position in a magnetic levitation (MagLev) system and the performance of controllers are compared. Matlab Simulink has been used to test, analyze and compare the performance of the two optimization methods in simulations.
Pattern Analysis and Intelligent Systems
hamed babaei; Jaber Karimpour; Sajjad Mavizi
Volume 3, Issue 1 , February 2017, Pages 45-64
Abstract
University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of timetabling common lecturers among different departments ...
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University course timetabling problem is one of the hard problems and it must be done for each term frequently which is an exhausting and time consuming task. The main technique in the presented approach is focused on developing and making the process of timetabling common lecturers among different departments of a university scalable. The aim of this paper is to improve the satisfaction of common lecturers among departments and then minimize the loss of resources within departments. The applied method is to use a collaborative search approach. In this method, at first all departments perform their scheduling process locally; then two clustering and traversing agents are used where the former is to cluster common lecturers among departments and the latter is to find unused resources among departments. After performing the clustering and traversing processes, the mapping operation in done based on principles of common lecturers constraint in redundant resources in order to gain the objectives of the problem. The problem’s evaluation metric is evaluated via using fuzzy c-means clustering algorithm on common lecturer constraints within a multi agent system. An applied dataset is based on meeting the requirements of scheduling in real world among various departments of Islamic Azad University, Ahar Branch and the success of results would be in respect of satisfying uniform distribution and allocation of common lecturers on redundant resources among different departments .