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2014
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A New Method on Service Oriented Architecture Governance Maturity Assessment a Case Study on Telecommunication Company of Iran
A New Method on Service Oriented Architecture Governance Maturity Assessment a Case Study on Telecommunication Company of Iran
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The concept of Service-Oriented Architecture Governance (SOAG) has emerged as a way to implement control mechanisms in a service oriented architecture SOA.IT and specially SOA,have created opportunities to improve the business needs. Organizations without a strong government may not benefit from a service-oriented architecture.SOAG Plays an important role in SOA success , acceptance maturity model and organization strategic goals and plannings and where is the organization today in terms of our business or strategy planning and where it wants to go. Assessing SOA governance maturity level in the organization can assist with the successful implementation of SOA.The main purpose of this paper is to provide a method for assessing the SOAG maturity level.By applying the following assessment model, organizations can identify their strengths and weaknesses areas for improvement and thus enhance their readiness.For instance this paper has applied this framework to a real case study,a Telecommunication Service provider in Iran and the results to show excellence compared with other method.
1
13
Zohre
Mashalchian
Babak
Shirazi
Service-Oriented Architecture
Service-Oriented Architecture Governance
fuzzy
Article.1.pdf
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[1]
S. Myllykangas, SOA Governance Frameworks, University OF Helsinki, (2012)
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A. Hassanzadeh,L. Namdarian,S. Elahi, Developing a framework for evaluating service oriented architecture governance, Knowledge-Based Systems,Elsevier Science Publishers, 24(5). (2011), 716-730
##[3]
J. Eckert, M. Bachhuber, A. Miede, A. Papageorgiou, R. Steinmetz, Readiness and Maturity of Service-oriented Architectures in the German Banking Industry, 4th IEEE International Conference on Digital Ecosystems and Technologies , (2010)
##[4]
J. Mahmoudi, V. Mousakhani, H. S. Biriaei, Proposing a framework for assessing enterprise architecture maturity, Journal of information technology management, 1 (2012), 107-120
##[5]
T. Scheper, B. Kratz, SOA Governance Maturity – An Architect’s View, IBM Corporation , (2009)
##[6]
M. B. Abdul Manan, Developing a framework and scorecard method to measure the enterprise-wide SOA implementation readiness of an organisation, University of Wollongong Thesis Collections, (2013), -
##[7]
E. A. Marks, Service-Oriented Architecture Governance for the Services Driven Enterprise, John Wiley& Sons Inc, Hoboken, New Jersey (2008)
##[8]
F. Yashar, SOA governance – how best to embrace it? Part 2: Governancelifecycle, IBM Corporation, (2009), -
##[9]
M. H. Zarandi, I. B. Turksen, S. Saghari, supply chain: Crisp and Fuzzy aspects, Int. I. APPI. Moth. Computer. Science, 12(3) (2002), 430-435
##[10]
C. Moraga, Introduction to fuzzy logic, Journal of Electric Engineering, 18 (2005), 319-328
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Open Group, Draft Technical Standard, SOA governance framework, , (2009)
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M. Afshar, SOA Governance: Framework and Best Practices, Oracle Corporation , (2007)
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C. Amo,T. Avilla, J. Doyle, J. Marecic, S. Riordan, D. Wells, Enterprise Architecture Maturity Assessment Iteration 1, state of Oregon, (2007)
##[14]
H. Kreger, SOA Standards Architect, IBM. 23rd Enterprise Architecture Practitioners Conference, Toronto (2009)
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W. A. Brown, G. Moore, W. Tegan, SOA governance—IBM’s approach, , (2006)
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webmethod , SOA Governance Enabling Sustainable Success with SOA, , (2008)
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J. Razmi, M. S. Sangari , R. Ghodsi, Developing a practical framework for ERP readiness assessment using fuzzy analytic network proces, Advances in Engineering Software, 40 (2009), 1168-1178
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The Federal Aviation Administration, FAA SWIM: SOA Governance Best Practices – Industry Input, (ITAA/GEIA Group), (2008)
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M. Javanbakht, M. R. Derakhshi, A new method for enterprise architecture assessment and decisionmaking about improvement or redesign, in Computing in the Global Information Technology, (2009), -
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K. Mittal, SOA Governance for developer and Architecture:find out how it affects and your job Today find out how it affects you and your job today, IBM Corporation, (2006), -
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F. Meier, Service Oriented Architecture Maturity Models:A guide to SOA Adoption?, school of Humanities and Informatics Masters Dissertation in Computer Science, (2006)
##[22]
T. G. J. Schepers, M. E. Iacob, P. A. T. Eck, A lifecycle approach to SOA governance, ACM symposium, (2008), -
##[23]
S. Inaganti, S. Aravamudan, SOA Maturity Model, BPTrends, (2007)
##[24]
W. Brown, R. G. Laird, T. Mitra, SOA Governance:Achieving and Sustaining Business and IT Agility, IBM, (2008)
##[25]
S. Simanta, E. D. Morris, G. A. Lewis, S. Balasubramaniam, D. B. Smith, A Scenario-Based Technique for Developing SOA Technical Governance, Software Engineering Institute, (2009)
]
A Nonlinear Partial Integro-differential Equation Arising in Population Dynamic Via Radial Basis Functions and Theta-method
A Nonlinear Partial Integro-differential Equation Arising in Population Dynamic Via Radial Basis Functions and Theta-method
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This paper proposes a numerical method to deal with the integro-differential reaction-diffusion equation. In the proposed method, the time variable is eliminated by using finite difference \(\theta\)−method to enjoy the stability condition. The method benefits from collocation radial basis function method, the generallized thin plate splines (GTPS) radial basis functions are used. Therefore, it does not require any struggle to determine shape parameter. The obtained results for some numerical examples reveal that the proposed technique is very effective, convenient and quite accurate to such considered problems.
14
25
M.
Aslefallah
E.
Shivanian
Integro-differential equation
Radial basis functions
Kansa method
Finite differences \(\theta\)-method.
Article.2.pdf
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G. R. Liu , Mesh Free Methods: Moving beyond the Finite Element Method, CRC Press., (2003)
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]
Survey Article about Image Fuzzy Processing Algorithms
Survey Article about Image Fuzzy Processing Algorithms
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In this article, we reviewed the latest performed works in the image processing using fuzzy systems and methods. First, we introduced the fuzzy processing framework of the images and then study the application of fuzzy methods and systems in the main works of the image processing such as edge detection, image enhancement, segmentation and image description.
26
40
Seyyed Mohammad Reza
Hashemi
Mohsen
Zangian
Mojtaba
Shakeri
Maryam
Faridpour
edge detection
image enhancement
segmentation
image description
measuring the similarity and minimizing fuzzy degree.
Article.3.pdf
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[1]
C. Lopez-Molina, B. De Baets, H. Bustince, Generating fuzzy edge images from gradient magnitudes, Computer Vision and Image Understanding , 115 (2011), 1571-1580
##[2]
Zexuan Ji, Yong Xiab, Qiang Chena, Quansen Suna, Deshen Xiaa, David Dagan Feng, Fuzzy c-means clustering with weighted image patch for image segmentation, Applied Soft Computing , 12 (2012), 1659-1667
##[3]
Zhimin Wanga, Qing Song, Yeng Chai Soh, Kang Sim, An adaptive spatial information-theoretic fuzzy clustering algorithm for image segmentation , Computer Vision and Image Understanding , 117 (2013), 1412-1420
##[4]
Gour C. Karmakar, Laurence S. Dooley, A generic fuzzy rule based image segmentation algorithm, Pattern Recognition Letters , 23 (2002), 1215-1227
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Hamid R. Tizhoosh , Fuzzy Image Enhancement an Overview , Fuzzy Techniques in Image Processing Studies in Fuzziness and Soft omputing, 52 (2000), 137-171
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]
Arens Regularity of Banach Module Actions and the Strongly Irregular Property
Arens Regularity of Banach Module Actions and the Strongly Irregular Property
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Let \(X, Y, Z\) be normed spaces. We show that, if \(X\) is reflexive, then some extensions andadjointsof
the bounded bilinear map \(f: X\times Y\rightarrow Z\) are Arens regular. Also the left strongly irregular propertyis
equivalent to the right strongly irregular property. We show that the right module action \(\pi^*_{2_n}: A^{(n+1)}\times A^{(n)}\rightarrow A^*\) factors, where \(A\) is a Banach algebra.
41
46
Abotaleb
Sheikhali
Abdolmotaleb
Sheikhali
Neda
Akhlaghi
Arens regular
module action
derivation
topological center
factor.
Article.4.pdf
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A. Arens, The adjoint of a bilinear operation, Proc. Amer. Math. Soc., 2 (1951), 839-848
##[2]
S. Barootkoob, S. Mohamadzadeh, H. R. E Vishki, Topological Centers of Certain Banach Module Action, Bulletinof the iranian Mathematical Society, 35 (2009), 25-36
##[3]
H. G. Dales, Banach algebras and automatic continuity, London Math. Soc. Monographs 24 (Clarendon Press), Oxford (2000)
##[4]
H.G. Dales, A. Rodrigues-Palacios, M. V. Velasco, The second transpose of a derivation, J. London Math. Soc. , 64 (2) (2001), 707-721
##[5]
M. Eshaghi Gordji, M. Filali, Arens regularity of module actions, Studia Math. , 181 (3) (2007), 237-254
##[6]
M. Momeni, T. Yazdanpanah, M. R. Mardanbeigi, Sigma Ideal Amenability of Banach Algebras, Journal of mathematics and computer science, 8 (2014), 319-325
##[7]
S. Mohamadzadeh, H. R. E Vishki, Arens regularity of module actions and the second adjoint of a derivation, Bull. Austral. Mat. Soc., 77 (2008), 465-476
]
Analysis of Performance Improvement in Wireless Sensor Networks Based on Heuristic Algorithms Along with Soft Computing Approach
Analysis of Performance Improvement in Wireless Sensor Networks Based on Heuristic Algorithms Along with Soft Computing Approach
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en
The use of Wireless Sensor Networks (WSNs) has grown dramatically in recent decades, and the use of these networks in the areas of military, health, environment, business, etc. increases every day. A wireless sensor network consists of many tiny sensor nodes with wireless communications and work independently. In applications of such sensor nodes, hundreds or even thousands of low-cost sensor nodes are dispersed over the monitoring area, in which each sensor node periodically reports its sensed data to the base station (sink). Due to limitations in the communication range, sensor nodes transmit their sensed data through multiple hops. Each sensor node acts as a routing element for other nodes for transmitting data.
One of the most important challenges in designing such networks is the management of energy consumption of nodes; because replacing or charging the batteries of these nodes are usually impossible.
One of the main characteristics of these networks is that the network lifetime is highly related to the route selection. Unbalanced energy consumption is an inherent problem in WSNs characterized by the multi-hop routing and many-to-one traffic pattern. This uneven energy dissipation in many routing algorithms can cause network partition because some nodes that are part of the efficient path are drained from their battery energy quicker. To efficiently route data through transmission path from node to node and to prolong the overall lifetime of the network, In this thesis we proposed three new routing algorithms using a combination of both Fuzzy approach and A-star algorithm seeks to investigate the problems of balancing energy consumption and maximization of network lifetime for WSNs :A-Star with 3 parameters fuzzy system (A*3F), A-Star with 3 fuzzy system with 2 parameters using majority vote (A*3FMV) and A-Star with 3 fuzzy system with 2 parameters using simple additive weighting (A*3FSAW). The new methods is capable of selecting optimal routing path from the source node to the sink by favoring the highest remaining energy, minimum number of hops, lowest traffic load and energy consumption rate.
We evaluate and compare the efficiency of the proposed algorithms with each other methods under the same criteria in four different topographical areas. Simulation results show that A*3PFSAW and A*3PFMV balances the energy consumption well among all sensor nodes and achieves an obvious improvement on the network lifetime that randomly scattered nodes and flat routing..
47
67
Morteza
Kabiri
Javad
Vahidi
Wireless Sensor Networks
A-Star algorithm
Fuzzy logic
Network lifetime
Multi-hop routing.
Article.5.pdf
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R. V. Kulkarni, A. Forster, G. K. Venayagamoorth, Computational intelligence in wireless sensor networks: A survey, IEEE Commun. Surveys Tutorials, 13 (2011), 68-96
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C. Hua, T. P. Yum, Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks, IEEE ACM Trans. Netw., 16 (2008), 892-903
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H. Zhang, H. Shen, Balancing energy consumption to maximize network lifetime in data-gathering sensor networks, IEEE Trans. Par- allel Distrib. Syst., 20 (2009), 1526-1539
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J. N. Al-Karaki, A. E. Kamal, Routing techniques in wireless sensor networks: A survey, IEEE Wireless Commun., 11 (2004), 6-28
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H. R. Karkvandi, E. Pecht, O. Yadid, Effective lifetime-aware routing in wireless sensor networks, IEEE Sensors J., 11 (2011), 3359-3367
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K. Akkaya, M. Younis, A survey of routing protocols in wireless sensor networks, Ad Hoc Netw., 3 (2005), 325-349
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F. Ren, J. Zhang, T. He, C. Lin, S. K. Das, EBRP: Energy-balanced routing protocol for data gathering in wireless sensor networks, IEEE Trans. Parallel Distrib. Syst., 22 (2011), 2108-2125
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J. Park, S. Sahni, An online heuristic for maximum lifetime routing in wireless sensor networks, IEEE Trans. Comput., 55 (2006), 1048-1056
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C. C. Hung, K. C. J. Lin, C.-C. Hsu, C.-F. Chou, C.-J. Tu, On enhancing network-lifetime using opportunistic routing in wireless sensor networks, in Proc. 19th Int. Conf. Comput. Commun. Netw, Aug., (2010), 1-6
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R. Madan, S. Lall, Distributed algorithms for maximum lifetime routing in wireless sensor networks, IEEE Trans. Wireless Commun., 5 (2006), 2185-2193
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O. Zytoune, M. El-Aroussi, D. Aboutajdine, A uniform balancing energy routing protocol for wireless sensor networks, Wireless Personal Commun. , 55 (2010), 147-161
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]
A Note on Generalization of Classical Jensens Inequality
A Note on Generalization of Classical Jensens Inequality
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en
In this note, we prove a new generalisation of the Jensen’s inequality by using a Riemann-Stieltjes integrable function and convex functions under a mild condition. An example was given to support the claims of this paper.
68
70
P. O.
Olanipekun
A.
Mogbademu
Convex functions
Jensen’s inequality.
Article.6.pdf
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[1]
H. ASNAASHARI , Some remarks on convexity of Chebysev sets, The Journal of Mathematics and Computer Science, 1 (2010), 102-106
##[2]
H. FINBARR, A note on the Mean Value Theorem, https://cms.math.ca/crux/v22/n7page , (), 290-293
##[3]
R. Kargar, A. Bilavi, S. Abdolahi, S. Maroufi, A class of Multivalent analytic functions defined by a new linear operator, Journal of Mathematics and Computer Science, 8 (2014), 236-334
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D. S. MITRINOVIC, J. E. PECARIC, A. M. FINK, Classical and New Inequalities in Analysis, Kluwer Academic Publishers, London (1993)
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]
Regulating and Helix Path Tracking for Unmanned Aerial Vehicle (uav) Using Fuzzy Logic Controllers
Regulating and Helix Path Tracking for Unmanned Aerial Vehicle (uav) Using Fuzzy Logic Controllers
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en
In recent years, most of researchers attempt to replace manpower with robots because of their ability to
do repetitive work and also their accuracy in critical condition. Unmanned Aerial Vehicles (UAVs) are
attained more attention for their advantages rather than other kind of manned aerial vehicles (MAVs).
Quadrotor is a special kind of UAVs with simple mechanical structure and high maneuverability for
excellence. Also, quadrotor is a 6-DOF (six degree of freedom) system with high nonlinearity in terms of
dynamic equations equipped by four rotors. Consequently, there is the nonlinear under-actuated system
with 6-DOF and four angular speeds as system input. Although the high nonlinearity nature of system
dynamic cause some difficultly in controlling process, this can be helpful in some cases which quick
response is needed. Therefore, the aim of this study is to plan such controller which is able to provide all
maneuvers in all reachable direction (maneuvers in all altitude and attitude). In this study, the model of
system is considered as Multiple Input-Multiple Output (MIMO) and three fuzzy logic controllers (FLC)
are proposed to make system regulated with constant value and tracked with helix path. Finally, results
indicate good performance in both regulation and tracking purpose.
71
89
Mehdi
Zare
Jafar
Sadeghi
Said
Farahat
Ehsan
Zakeri
Nonlinear systems
quadrotor
UAV
Fuzzy Logic Controller
under-actuated systems.
Article.7.pdf
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S. Bouabdallah et al. , PID vs. LQ control techniques applied to an indoor micro quadrotor, Intelligent Robots and Systems(IROS 2004).Proceedings, IEEE/RSJ International Conference on, IEEE. , (2004), -
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P. Pounds, R. Mahony, P. Corke , Modelling and control of a quadrotor robot, In Proceedings of the Australasian conference on robotics and automation, (2006), -
##[3]
A. Ahmad Mian, Daobo Wang , Modeling and Backstepping-based Nonlinear Control Strategy for a 6 DOF Quadrotor Helicopter, Chinese Journal of Aeronautics, Volume 21, Issue 3, Pages , ISSN 1000-9361, 21 (2008), 261-268
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T. Sangyam, P. Laohapiengsak, W. Chongcharoen, I. Nilkhamhang , Path tracking of UAV using self-tuning PID controller based on fuzzy logic, SICE Annual Conference 2010, Proceedings of 18-21 Aug. , (2010), 1265-1269
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M.Santos, V. López, F. Morata, Intelligent fuzzy controller of a quadrotor, Intelligent Systems and Knowledge Engineering (ISKE), 2010 International Conference , (2010), 141-146
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A. Nagaty, S. Saeedi, C. Thibault, M. Seto, Howard Li, Control and Navigation Framework for Quad-rotor Helicopters, J. Intell Robot System. , (2013)
##[8]
A. Rabhi, M. Chadli, C. Pegard, Robust fuzzy control for stabilization of a quadrotor, Advanced Robotics (ICAR), 2011 15th International Conference , (2011), 471-475
##[9]
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Arzela-ascoli Theorem for Felbins Type Fuzzy Normed Linear Spaces
Arzela-ascoli Theorem for Felbins Type Fuzzy Normed Linear Spaces
en
en
In this note, we define the strongly fuzzy bounded linear operators on Felbin’s fuzzy normed linear space. In particular, a Arzela-Ascoli theorem for strongly fuzzy bounded linear operators are established.
90
93
A.
Zohourmeskar
A.
Mozaffarikhan
Fuzzy real number
Fuzzy norm linear space
Strongly fuzzy continuous
Strongly fuzzy bounded.
Article.8.pdf
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