]>
2014
10
3
77
A Quick Method to Calculate the Super-efficient Point in Multi-objective Assignment Problems
A Quick Method to Calculate the Super-efficient Point in Multi-objective Assignment Problems
en
en
The present study has presented a method to obtain the best non-dominated point (the point having the least distance to the ideal point) for the multi-objective assignment problems which is more efficient and is so quick while simple, compared with other similar methods in other studies. This method does not need any parameters or point (even the ideal point) to solve the problem and effectively turns solving a multi-objective assignment problem into solving the single-objective assignment problem. Moreover, it gives the best non-dominated point as the solution. Finally, a numeral example has been brought to compare this method with proposed methods in other studies.
157
162
Hadi
Basirzadeh
Vahid
Morovati
Abbas
Sayadi
Multi-objective optimization
Assignment problems
Integer programming.
Article.1.pdf
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Matthias Ehrgott, Multicriteria Optimization, 2nd ed, Berlin (2005)
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Ameneh Forouzandeh Shahraki, Rassoul Noorossana, A Combined Algorithm for Solving Reliability-based Robust Design Optimization Problems, TJMCS , 7 (2013), 54-62
]
Existence and Multiplicity of Solutions for a Robin Problem
Existence and Multiplicity of Solutions for a Robin Problem
en
en
In this article we study the nonlinear Robin boundary-value problem
\[
\begin{cases}
-\Delta_{p(x)}u=\lambda f(x,u),\,\,\,\,\, \texttt{in}\quad \Omega,\\
|\nabla u|^{p(x)-2} \frac {\partial u}{\partial v} + \beta(x)|u|^{p(x)-2} u=0,\,\,\,\,\, \texttt{on}\quad \partial \Omega.
\end{cases}
\]
Using the variational method, under appropriate assumptions on \(f\), we obtain a result on existence and multiplicity of solutions.
163
172
Mostafa
Allaoui
Abdel Rachid El
Amrouss
Fouad
Kissi
Anass
Ourraoui
\(p(x)\)-Laplace operator
variable exponent Lebesgue space
variable exponent Sobolev space
Riccerifs variational principle.
Article.2.pdf
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]
Non-archimedean Intuitionistic Fuzzy Continuity of Dectic Mappings
Non-archimedean Intuitionistic Fuzzy Continuity of Dectic Mappings
en
en
In this paper, we investigate the non-Archimedean intuitionistic fuzzy continuity through the existence of a certain solution of a fuzzy stability problem for the system of additive-quadratic-cubic-quartic functional equations.
173
188
Mohammad Ali
Abolfathi
Ali
Ebadian
Rasoul
Aghalary
Non-Archimedean intuitionistic fuzzy normed spaces
Mixed type functional equation
Dectic mappings
Hyers-Ulam stability.
Article.3.pdf
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[1]
M. A. Abolfathi, A. Ebadian, R. Aghalary, Stability of mixed additive-quadratic Jensen type functional equation in non-Archimedean ℓ-fuzzy normed spaces, Annali Dell ’Universita ’Di Ferrara. doi: 10.1007/s11565-013-0182-z, (2013), 1-13
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A. Ebadian, R. Aghalary, M. A. Abolfathi, Approximation of homomorphisms and derivations of additive functional equation of n-Apollonius type in induced fuzzy Lie C*-algebras, Journal of Advances in Mathematics, 3 (2013), 201-217
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A. Ebadian, S. Zolfaghari, Stability of a mixed additive and cubic functional equation in several variables in non-Archimedean spaces, Annali Dell ’Universita ’Di Ferrara. , (), 11565-012
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]
Attendance Checking System Using Quick Response Code for Students at the University of Sulaimaniyah
Attendance Checking System Using Quick Response Code for Students at the University of Sulaimaniyah
en
en
A system to record and view attendance information using a QR code scanned by smart phones is proposed to help students avoid penalties that may result from poor attendance. In proposed system, students can easily view their attendance records for each course. The proposed system was modeled and developed for use at the University of Sulaimaniyah; however, it could be applied to other schools and colleges
189
198
Miran Hikmat Mohammed
Baban
QR-Code Scanning
PHP
MYSQL
MAC Address
Database Connection
Absentee rate
Smart Phones
Microsoft Excel sheet.
Article.4.pdf
[
[1]
D.-H. Shin, J. Jung, B.-H. Chang, The psychology behind QR codes: user experience perspective, Computers in Human Behavior , 28 (2012), 1417-1426
##[2]
I. C. Zupanovic, E. Tijan , QR Codes as a time management tool in m-learning, Proc. MIPRO, Opatija, Croatia, (2012), 1470-1474
##[3]
M. M. Swarup, A. Dwivedi, C. Sonkar, R. Prasad, M. Bag, V. Singh, A QR code based processing for dynamic and transparent seat allocation in Indian railway, Int. J. Comp. Sci. , 9 (2012), 338-344
##[4]
Y.-G. Kim, M.-S. Jun, A design of user authentication system using QR code identifying method , Proc. ICCIT, Seogwipo, South Korea, (2011), 31-35
##[5]
C. Guo, H. J. Wang, W. Zhu, Smart-phone attacks and defenses, HotNets III, November, San Diego, CA. (2004)
##[6]
Y. Liu, J. Yang, M. Liu , Recognition of QR code with mobile phones, Proc. CCDC, Yantai, Shandong, (2008), 203-206
##[7]
A. L. Hou, F. Yuan, G. Ying, QR code image detection using run-length coding , Proc. ICCSNT, Harbin, China, (2011), 2130-2134
##[8]
I. Kapsalis, Security of QR Code, Msc. Norwegian University of Science and Technology, Department of Telematics (2013)
##[9]
S. Rothman, School absence and student background factors: A multilevel analysis, International Education Journal, 2 (2001), 59-68
]
Compact Operators in Felbins Type Fuzzy Normed Linear Spaces
Compact Operators in Felbins Type Fuzzy Normed Linear Spaces
en
en
In this paper, we introduce fuzzy compact operators on Felbin's type fuzzy normed linear spaces. In particular, it is proved that an equivalent condition for the compactness of an operator in fuzzy normed linear spaces.
199
202
Ashraf
Zohourmeskar
Fuzzy real number
Fuzzy norm linear space
Weakly fuzzy continuous
Fuzzy compact operator.
Article.5.pdf
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[1]
T. Bag, S. K. Samanta, Fuzzy bounded linear operators in Felbin's type fuzzy normed, Fuzzy sets and Systems, 151 (2008), 685-707
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##[7]
J. Xiao, X. Zhu, On linearly topological structure and property of fuzzy normed linear space, Fuzzy Setsand Systems, 125 (2002), 153-161
]
Hybrid Harmony Search and Genetic for Fuzzy Classification Systems
Hybrid Harmony Search and Genetic for Fuzzy Classification Systems
en
en
In this paper, a method based on Harmony Search Algorithm (HSA) is proposed for pattern classification. One of the important issues in the design of fuzzy classifier if the product of fuzzy if then rules. So that the number of incorrectly classified patterns is minimized. In the HSA-based method, every musician makes a musical note and it can be regarded as a solution vector. The algorithm uses Genetic algorithm based local search to improve the quality of fuzzy classification system. The proposed algorithm is evaluated on a breast cancer data. The results show that the algorithm based on improved genetic is able to produce a fuzzy classifier to detect breast cancer.
203
211
Maryam Sadat
Mahmoodi
Seyed Abbas
Mahmoodi
Harmony Search Algorithm
Genetic Algorithm
Fuzzy Classification System.
Article.6.pdf
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]
Thermal Control of Building Using Latent Heat Storage South Wall
Thermal Control of Building Using Latent Heat Storage South Wall
en
en
The aim of the present work is to study the thermal performance of a composite wall used for
heating management of building. The solar energy absorbed by the wall is stored in a phase change
material (PCM). The advantage of using this heating strategy is that PCMs are able to melt and absorb a
high amount of diurnal solar radiations and release it to the room during the night to provide passive
nocturnal heating. A one-dimensional mathematical model was developed in order to analyze and
optimize the proposed latent heat storage wall. Numerical investigations were conducted in order to
examine the effects of the PCM position and the PCM material properties on the thermal behavior of the
proposed wall. It was found that, when the PCM layer is closer to the inner face of the wall, thermal
comfort conditions are considerably improved compared to a concrete wall without PCM. The good PCM
choice is satisfied when the material melts completely before the sunset and re-solidifies completely
before the sunrise. Phase change materials that have a better thermal conductivity lead to a significant
reduction of the building energy consumption.
212
227
Mustapha
Faraji
Mustapha E.
Alami
Mostafa
Najam
Building
Mathematical model
PCM
Latent heat
Thermal control
Article.7.pdf
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[1]
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##[2]
M. Faraji, M. Najam, M. El Alami, Z. Bouhssine, F. Berroug, E. K. Lakhal, M. El Omari, P. Rochus, Numerical Analysis of the Passive Heating of Building integrated Phase Change Materials, Numerical Heat Transfer, Gliwice-Wrocław, Poland (2012)
##[3]
B. Z. Li, C. L. Zhang, A. Deng , Study on improving indoor thermal environment in light weight building combining PCM wall and nighttime ventilation, Journal of Civil Architectural & environmental Engineering 31(3) , (2009)
##[4]
J. Paris, J.-F Houle Villain, Incorporation of PCM in wallboards: a review of recent developments, In: Proceedings of the First World Renewable Energy Congress, September, Reading, UK, (1990), 2397-2401
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M. Zhang, A. M. Medina, B. J. King, Development of a thermally enhanced frame wall with phase change materials for on-peak air-conditioning demand reduction and energy savings in residential buildings, International Journal of Energy Research, Green heck Fan Corporation, Schofield, WI , U.S.A (2005)
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F. Berroug, E. K. Lakhal, M. El Omari, M. Faraji, H. El Qarnia, Thermal performance of a greenhouse with a phase change material north wall, Energy and Buildings, 43 (2011), 3027-3035
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]
A Method for Calculating Interval Inverse Matrix
A Method for Calculating Interval Inverse Matrix
en
en
This paper has presented a method for calculation the interval inverse matrix using the linear equation system. Linear equation systems have important in mathematics, engineering, statistics and other disciplines. These systems can vary in the interval are searcher who have been considered. Also whit this type of systems have been encountered in many applications. Different bases of interval calculation has been discussed in several articles [2,5,6,7]. The method used in calculation in inverse matrix real case, we can extend it to the interval mode. To calculate the interval inverse matrix we define many definition that are consist of interval one number, interval zero number and interval identity matrix. It is noted that the uniqueness of the calculated interval inverse matrix is not guaranteed.
228
234
Shohreh
Abolmasoumi
Interval linear systems
Interval number
Interval matrix
Interval identity matrix.
Article.8.pdf
[
[1]
Murat Alper Basaran, A method for calculating interval inverse matrix, Applied soft computing , 12 (2012), 1810-1813
##[2]
Sh. Abolmasoumi, M. Alavi , A method for calculating interval linear system, Journal of mathematics and computer science, 8 (2014), 193-204
##[3]
M. Dehghan, H. Hashemi, M. Ghatee, computational methods for solving fully fuzzy linear systems, Applied Mathematics and computation , 179 (2006), 328-343
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