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International Journal of Soft Computing and EngineeringInternational Journal of Soft Computing and EngineeringInternational Journal of Soft Computing and Engineering
n E d n g i na e g e n i r t i n u g p m o C t f o S I n f t eo l r n a a n r t i u o o n J a l
IJSCEIJSCE
Exploring Innovation
www.ijsce.org
EXPLORING INNOVA
TION
ISSN : 2231 - 2307Website: www.ijsce.org
Volume-7 Issue-6, JANUARY 2018Volume-7 Issue-6, JANUARY 2018
Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt. Ltd.
Published by: Blue Eyes Intelligence Engineering and Sciences Publication Pvt. Ltd.
Editor-In-Chief Dr. Shiv Kumar
Ph.D.(CSE), M.Tech.(IT, Honors), B.Tech.(IT)
Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal (M.P.), India
Professor & Head, Department of Computer Science & Engineering, Lakshmi Narain College of Technology-Excellence (LNCTE),
Bhopal (M.P.), India
Associated Editor-In-Chief Dr. Pradeep Kumar Gupta
PDF, Ph.D(CSE), ME(CSE), BE(CSE), MACM, MIEEE, LMCSI, SMIACSIT
Assistant Professor(Sr. Grade), Department of Computer Science & Engineering, Jaypee University of Information Technology,
Shimla (H.P.), India
Dr. Mayank Singh
PDF (Purs), Ph.D (CSE), ME (Software Engineering), BE(CSE), SMACM, MIEEE, LMCSI, SMIACSIT
Department of Electrical, Electronic and Computer Engineering, School of Engineering, Howard College, University of KwaZulu-
Natal, Durban-4041, South Africa.
Dr. Shachi Sahu
Ph.D. (Chemistry), M.Sc. (Organic Chemistry)
Additional Director, Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., Bhopal(M.P.), India
Scientific Editors Dr. Venkat K. Krishnan
Post-Doctoral Research Associate, Electrical and Computer Engineering, 1121 Coover Hall, Iowa State University, Ames, Iowa, USA
50011
Dr. CheeFai Tan
Faculty of Mechanical Engineering, University Technical, Malaysia Melaka, Malaysia
Dr. Moinuddin Sarker
Vice President of Research & Development, Head of Science Team, Natural State Research, Inc., 37 Brown House Road (2nd Floor)
Stamford, CT-06902, USA.
Dr. Shanmugha Priya. Pon
Principal, Department of Commerce and Management, St. Joseph College of Management and Finance, P.O.Box.920, Makambako,
Njombe Region, Tanzania, East Africa, Tanzania
Dr. Guoxiang Liu
Member of IEEE, University of North Dakota, Grand Froks, N.D., USA
Executive Editors Dr. T.C. Manjunath
Principal & Professor, HKBK College of Engg, Nagawara, Arabic College Road, Bengaluru-560045, Karnataka, India
Dr. Kosta Yogeshwar Prasad
Director, Technical Campus, Marwadi Education Foundation’s Group of Institutions, Rajkot-Morbi Highway, Gauridad, Rajkot,
Gujarat, India
Dr. P. Dananjayan
Professor, Department of Department of ECE, Pondicherry Engineering College, Pondicherry, India
Dr. Sunandan Bhunia
Associate Professor & Head,, Dept. of Electronics & Communication Engineering, Haldia Institute of Technology, Haldia, West
Bengal, India
Dr. Rajiv Srivastava
Director, Department of Computer Science & Engineering, Sagar Institute of Research & Technology, Bhopal (M.P.), India
Dr. Chakunta Venkata Guru Rao
Professor, Department of Computer Science & Engineering, SR Engineering College, Ananthasagar, Warangal, Andhra Pradesh, India
Dr. Anuranjan Misra
Professor, Department of Computer Science & Engineering, Bhagwant Institute of Technology, NH-24, Jindal Nagar, Ghaziabad,
India.
Dr. Ebrahim Nohani
Associate Professor, Department of Hydraulic Structures, Dezful Branch, Islamic Azad University, Dezful, Iran
Advisory Chair Dr. Uma Shanker
Professor & Head, Department of Mathematics, CEC, Bilaspur(C.G.), India
Dr. Rama Shanker
Professor & Head, Department of Statistics, Eritrea Institute of Technology, Asmara, Eritrea
Dr. Vinita Kumari
Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd., India
Dr. Sadhana Vishwakarma
Associate Professor, Department of Engineering Chemistry, Technocrat Institute of Technology, Bhopal(M.P.), India
Dr. Kamal Mehta
Associate Professor, Deptment of Computer Engineering, Institute of Technology, NIRMA University, Ahmedabad (Gujarat), India
Dr. Suresh Babu Perli
Professor & Head, Department of Electrical and Electronic Engineering, Narasaraopeta Engineering College, Guntur, A.P., INDIA
Dr. Binod Kumar
Associate Professor, Schhool of Engineering and Computer Technology, Faculty of Integrative Sciences and Technology, Quest
International University, Ipoh, Perak, Malaysia
Dr. Chiladze George
Professor, Faculty of Law, Akhaltsikhe State University, Tbilisi University, Georgia
Dr. Kavita Khare
Professor, Department of Electronics & Communication Engineering, MANIT, Bhopal (M.P.), INDIA
Dr. C. Saravanan
Associate Professor (System Manager) & Head, Computer Center, NIT, Durgapur, W.B. India.
Managing Chair Mr. Jitendra Kumar Sen
International Journal of Soft Computing and Engineering (IJSCE)
Reviewer Chair Dr. Giriraj Kumar Prajapati
Associate Professor, Department of Electronics and Communication Engineering, Sree Chaitanya Institute of Technological Sciences,
Timmapur, Karimnagar (Telangana)-505527, India.
Dr. Prasenjit Chatterjee
Associate Professor & Head, Department of Mechanical Engineering, MCKV Institute of Engineering, Howrah (West Bengal)-
711204, India.
Dr. Mallavolu Malleswararao
Associate Professor & Head, Department of Electrical & Electronics Engineering, RISE Krishna Sai Prakasam Group of Institutions
Ongole, (Andhra Pradesh)-523272, India.
Dr. Deepali Sharma
Assistant Professor, Department of Radiation Oncology, School of Medicine, Tulane University, LA, USA.
Dr. Sadu Venkatesu
Associate Professor, Department of Mechanical Engineering, Sree Vidyanikethan Engineering College (Autonomous) A. Rangampet,
Tirupati (Andhra Pradesh), India.
Dr. B. Krishna Kumar
Professor, Department of Electronics and Communication Engineering, Methodist College of Engineering and Technology,
Hyderabad (Telangana)-500001, India.
Dr. M. Vasim Babu
Associate Professor, Department of Electronics and Communication Engineering, KKR & KSR Institute of Technology and Sciences
(KITS) Vinjanampadu, Guntur, (Andhra Pradesh), India.
Dr. Froilan D. Mobo
Assistant Professor, Department of Computer and Social Sciences, Philippine Merchant Marine Academy, San Narciso, Zambales,
Philippines.
S.
No
Volume-7 Issue-6, January 2018, ISSN: 2231-2307 (Online)
Published By: Blue Eyes Intelligence Engineering & Sciences Publication Pvt. Ltd.
Page
No.
1.
Authors: Muhammad Awais Umar, Mujtaba Hussain, Basharat Rehman Ali, Muhammad Numan
Paper Title: Super (a,1)-Tree-Antimagicness of Sun Graphs
Abstract: Let ),(= EVG be a finite simple graph with |)(| GV vertices and |)(| GE edges. An edge-covering
of G is a family of subgraphs tHHH ,,, 21 such that each edge of )(GE belongs to at least one of the
subgraphs iH , ti ,1,2,= . If every subgraph iH is isomorphic to a given graph H , then the graph G admits
an H -covering. A graph G admitting H covering is called an ),( da - H -antimagic if there is a bijection
|})(||)(|,{1,2,: GEGVEVf such that for each subgraph H of G isomorphic to H , the sum of
labels of all the edges and vertices belonged to H constitutes an arithmetic progression with the initial term a and
the common difference d . For |})(|,{1,2,3,=)( GVVf , the graph G is said to be super ),( da - H -
antimagic and for 0=d it is called H -supermagic. In this paper, we investigate the existence of super ,1)(a - 3S
-antimagic labeling of Sun graphs nSG , its uniform subdivision )(rSGn , disjoint union of sun graphs and its
uniform subdivision denoted by mSGn and mSGn(r) respectively, where r, m ≥ 1.
Keywords: Sun graph nSG , uniform subdivided Sun graph )(rSGn , su- per (a, 1)-S3-antimagic, super (a, 1)-
S3(r)-antimagic, disjoint union of Sun graph mSGn and its uniform subdivision mSGn(r). MR (2010) Subject
Classification: 05C78, 05C70
References:
1. Ba c
a, M., Kimáková, Z., A. Semani c
ová-Fe n
ov c
íková and Umar, M.A., Tree-Antimagicness of Disconnected Graphs, Mathematical
Problems in Engineering, Vol. 2015, Article ID 504251, 4 pages, http://dx.doi.org/10.1155/2015/504251.
2. Ba c
a, M., Brankovic, L., Semani c
ová-Fe n
ov c
íková, A., Labelings of plane graphs containing Hamilton path, Acta Math. Sinica -
English Series, 2011, 27(4), 701–714.
3. Ba c
a, M., Miller, M., Phanalasy, O., Semani c
ová-Fe n
ov c
íková, A., Super d-antimagic labelings of disconnected plane graphs, Acta
Math. Sinica - English Series, 2010, 26(12), 2283–2294.
4. Ba c
a, M., Lin, Y., Muntaner-Batle, F.A., Rius-Font, M., Strong labelings of linear forests, Acta Math. Sinica - English Series, 2009,
25(12), 1951–1964.
5. Ba c
a, M., Miller, M., Super edge-antimagic graphs: A wealth of problems and some solutions, Brown Walker Press, Boca Raton, Florida,
2008.
6. Ba c
a, M., Numan, M., Shabbir, A., Labelings of type (1,1,1) for toroidal fullerenes, Turkish Journal of Mathematics, 2013 37, 899–907.
7. Figueroa-Centeno, R.M., Ichishima, R., Muntaner-Batle, F.A., The place of super edge-magic labelings among other classes of labelings,
Discrete Math., 2001, 231, 153–168.
8. Gutiérrez, A., Lladó, A., Magic coverings, J. Combin. Math. Combin. Comput., 2005, 55, 43–56.
9. Inayah, N., Salman, A.N.M., Simanjuntak, R., On ),( da - H -antimagic coverings of graphs, J. Combin. Math. Combin. Comput., 2009,
71, 273–281.
10. Inayah, N., Simanjuntak, R., Salman, A.N.M., Syuhada, K.I.A., On ),( da - H -antimagic total labelings for shackles of a connected
graph H , Australasian J. Combin., 2013, 57, 127–138.
11. Jeyanthi, P., Selvagopal, P., More classes of H -supermagic graphs, Internat. J. Algor. Comput. Math., 2010, 3, 93–108.
12. Lih, K.W., On magic and consecutive labelings of plane graphs, Utilitas Math., 1983, 24, 165–197.
13. Lladó, A., Moragas, J., Cycle-magic graphs, Discrete Math., 2007, 307, 2925–2933. 14. Marr, A.M., Wallis, W.D., Magic Graphs, Birkhäuser, New York, 2013.
15. Maryati, T.K., Baskoro, E.T., Salman, A.N.M., hP -(super)magic labelings of some trees, J. Combin. Math. Combin. Comput., 2008, 65,
198–204.
16. Maryati, T.K., Salman, A.N.M., Baskoro, E.T., Supermagic coverings of the disjoint union of graphs and amalgamations, Discrete Math.,
2013, 313, 397–405.
17. Ngurah, A.A.G., Salman, A.N.M., Susilowati, L., H -supermagic labelings of graphs, Discrete Math., 2010, 310, 1293–1300.
1-4
2.
Authors: Mahmoud Al-Zyood
Paper Title: The Impact of using GIS on the Selection of ATM Sites and Their Effect on Profitability
Abstract: This paper focuses on the factors that influence the locations of automated teller machines (ATMs) and
their impact on profitability using Geographic Information System (GIS). ATM services represent relatively
expensive operations for banks, who seek to meet consumer demands with optimum cost efficiency. The increasing
availability of computer technologies to study and monitor user behaviors have opened many new areas for banks to
streamline their operations, and one novel application is the use of GIS to determine the optimum location of ATMs
to meet consumer demand and maintain market competitiveness related to strategic decisions. GIS can help banks to
analyze competitors in order to maintain current market share and try to expand in the future for continuity and
improve the quality of services provided. This paper undertakes a review of literature related to this topic,
concluding that it is important to locate ATMs using the best strategies to achieve bank objectives in the short and
long term, and that GIS can greatly assist in this by enabling banks to identify the optimum location for ATMs to
meet consumer demand, achieving the strategic aim of maintaining and increasing market share and competition to
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attract and keep customers and increase profitability. Furthermore, it is recommended that future studies explore the
incorporation of social media analytics in banking strategy relative to GIS and the placement of ATMs.
Keywords: ATM, GIS, Profitability, Location
References: 1. Fernandes, L. (2007). The location intelligent enterprise: Enhancing business intelligence with location [online]. DM Insights on Location.
Available at: https://www.directionsmag.com/article/2629 [last accessed 26 Oct. 2017].
2. Ismail, W. M. (2001). Geographic information system, demographic spatial analysis and modeling. MSc thesis, School of Housing, Building and Planning, University Science Malaysia. Available at: http://www.hbp.usm.my/thesis/HeritageGIS/thesis.htm [last accessed 26 Oct.
2017].
3. Jafrullah, M., Uppuluri, S., Rajopadhaye, N., and Srinatha Reddy, V. (2003). An integrated approach for banking GIS. Business GIS, Map India Conference, March 2003.
4. Lee, H. Y. and Kim, E. M. (1997). The study of bank branch location through GIS techniques: The case of Kang Nam Gu, Seoul.
Geographic Information System Association of Korea Publication, 5(1), Serial Number 8, 11-26. 5. Miliotis, P., Dimopoulou, M. and Giannikos, I. (2002). A hierarchical location model for locating bank branches in competitive
environment. International Transactions in Operational Research, 9(5), 549-565.
6. Min, H. (1989). A model-based decision support system for locating banks. Information and Management, 17(4), 207-215. 7. Mylonakis, J., Malliaris, P. and Siomkos, G. (1998). Marketing-driven factors influencing savers in the Hellenic bank market. Journal of
Applied Business Research, 14(2), 109-16.
8. Olsen, L. M. and Lord, J. D. (1979). Market area characteristics and branch bank performance. Journal of Bank Research, 10(2), 102-110. 9. Zhang, L. and Rushton, G. (2008). Optimizing the size and locations of facilities in competitive multi site service systems. Computers &
Operations Research, 35(2), 327-338.
10. Butt, A. I., & Al-Ramadan, B. (2005). Usefulness of Geodemographics & GIS for Banking Sector in Pakistan. Term Paper. pdf. 11. Basar, A., Kabak, Ö., & Ilker Topcu, Y. (2017). A Decision Support Methodology for Locating Bank Branches: A Case Study in Turkey.
International Journal of Information Technology & Decision Making, 16(01), 59-86. 12. Genevois, M. E., Celik, D., & Ulukan, H. Z. ATM Location Problem and Cash Management in ATM’s. Murphy, R. E. (2017). The central
business district: a study in urban geography. Routledge.
13. Endro, T., Taher, A., Zainul, A., & Nayati, U. H. (2017). The Influence of Business Location On Competitive Environment, Competitive Strategy, And Rural Banks Performance On The Example Of Bank Perkreditan Rakyat. Russian Journal of Agricultural and Socio-
Economic Sciences, 65(5) (2017)
14. Paradi, J. C., & Zhu, H. (2013). A survey on bank branch efficiency and performance research with data envelopment analysis. Omega, 41(1), 61-79.
15. Paradi, J. C., & Zhu, H. (2013). A survey on bank branch efficiency and performance research with data envelopment analysis. Omega,
41(1), 61-79. 16. Farahani, R. Z., Rezapour, S., Drezner, T., & Fallah, S. (2014). Competitive supply chain network design: An overview of classifications,
models, solution techniques and applications. Omega, 45, 92-118.
17. Sher, F. A. I. S. A. L., TARIQ, M., & JAN, F. A. (2015). Financial performance of banks in Pakistan: a comparative analysis of public and private sectors. VFAST Transactions on Education and Social Sciences, 6(2).
18. Franco Halpert, D. (2012). Assessment of the centre of gravity technique for the solution of the facility location problem (Bachelor's thesis,
Universidad de La Sabana).
3.
Authors: P. Manimegalai, U. S. Ragupathy
Paper Title: Medical Evaluation of Improved Label Fusion Based Haematoma Segmentation In Traumatic Brain
Injury Images
Abstract: Atlas based segmentation is a well-known method of automatically computing the segmentation. When
multiple atlases are available, then each atlas can be used to compute a ‘label’, which is an estimation of the ground
truth segmentation of a target image. By combining these labels, a more accurate approximation of the ground truth
segmentation can be made. In the proposed work, the axial view of brain CT image for target and prelabelled images
are taken for haematoma segmentation. The canny edge detection is performed to detect the wide range of edges in
the images. The edge detected images are registered by using the rigid transformation method to spatially align one
image to fit into another. The atlas images are selected based on the fixed threshold value and all the selected atlases
are combined by using Selective and Iterative Method of Performance Level Estimation (SIMPLE) algorithm in
label fusion process for the accurate segmentation of haematoma. The label fusion process is performed for a set of 6
labelled images and 10 target images and from the results it is observed that the error is reduced by 3% and
similarity coefficient is increased by 16%, which indicates that the proposed method performs better when compared
to the existing method.
Keywords: Multi Atlas based segmentation, Registration, Edge Detection, label fusion, Brain Images, SIMPLE
References: 1. Chengwen Chu and Masahiro Oda (2017), ‘Multi-Atlas Pancreas Segmentation: Atlas Selection based on Vessel Structure’, Medical Image
Analysis, ELSEVIER, vol. 39, pp.18-28.
2. Christian Ledig , Rolf A. Heckemann , Alexander Hammers , Juan Carlos Lopez and F.J .Virginia (2015), ‘Robust Whole-Brain
Segmentation: Application to Traumatic Brain Injury’, Medical Image Analysis, ELSEVIER, vol. 21, pp.40-58. 3. Eva M. van Rikxoort and Yulia Arzhaeva (2010), ‘Adaptive Local Multi-Atlas Segmentation: Application to the Heart and the Caudate
Nucleus’, Medical Image Analysis, vol. 14, Issue 1, pp.39–49.
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of MR Volumes’, Journal of Neurotrauma, vol. 28, pp.2287– 2306. 6. Isgum I and Staring M (2009), ‘Multi-Atlas-Based Segmentation with Local Decision Fusion Application to Cardiac and Aortic
Segmentation in CT Scans’, IEEE Transactions on Medical Imaging’, vol. 28, no. 7, pp. 1000–1010.
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8. Langerak T.R. and van der Heide U.A. (2015), ‘Improving Label Fusion in Multi-Atlas Based Segmentation by Locally Combining Atlas
Selection and Performance Estimation’, Computer Vision and Image Understanding, ELSEVIER, vol.130, pp.71-79. 9. Langerak T.R. and Kotte T.J (2010), ‘Label Fusion in Atlas-Based Segmentation Using a Selective and Iterative Method for Performance
Level Estimation(SIMPLE)’, IEEE Transactions on Medical Imaging, vol 29, no.12, pp.2000-2008.
10. Meritxell Bach Cuadra and Jean-Philippe (2004), ‘Atlas-Based Segmentation of Pathological MR Brain Images Using a Model of Lesion Growth’, IEEE Transactions on Medical Imaging, vol.23, no.10, pp.1301-1314.
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Application to Confocal Microscopy Image of Bee Brains’, Neuroimage, vol. 21, pp. 1428-1442.
12. Sabuncu and Golland (2010), ‘A Generative Model for Image Segmentation Based on Label Fusion’, IEEE Transactions on Medical
Imaging, vol. 29,no.10, pp.1714–1720. 13. Wachinger and Karl Fritscher (2010), ‘Contour Driven Atlas Based Segmentation’, IEEE Transactions on Medical Imaging’, vol. 34, no. 12,
pp.2492-2502.
14. Warfield and William M. Wells (2004), ‘Simultaneous Truth and Performance Level Estimation (STAPLE): An Algorithm for the Validation of Image Segmentation’, IEEE Transactions on Medical Imaging, vol. 23, no.7, pp.903-901.
15. Xabier and Solorzano (2009), ‘Combination Strategies in Multi-Atlas Image Segmentation: Application to Brain MR Data’, IEEE
Transactions on Medical Imaging, vol. 28, no. 8, pp.1266-1277.