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Cloud computing is an enticing technology that delivers services over the internet. It allows business organizations to use different applications and store information without accessing their personal files. In the recent years IT organizations prefer to move towards the adoption of Hybrid Cloud as it can be easily incorporated with the existing infrastructures of the enterprises. The cost of the implementation of hybrid cloud is quite low and it also provides the advantages of both public and private clouds. However, with the measurement of power, stability and the security of cloud one cannot ignore unlike coercion to user’s data on cloud storage. In this paper, a security model has been proposed that secures sensitive and critical data with the help of symmetric cryptography and data splitting techniques. It also uses multi cloud service providers for the protection of overall cloud model. Data to be stored in the cloud will be first encrypted using AES encryption and then it will be split into numerous chunks. After splitting, these chunks of data will be stored in dissimilar clouds in a random manner.

Hybrid cloud, Data splitting, AES encryption, Cloud Computing

[1] State of the Cloud Report from RightScale. www.rightscale.com/lp/2016-state-of-the-cloud. 2016.
[2] Cloud deployment model. http://transformcustomers.com/cloud-computing-benefits-and-challenges.
[3] AES Encryption. https://countuponsecurity.com/tag/openssl
[4] Vijayanand K.S. and Mala T., ‘A Framework for Preserving Data Security in Hybrid Cloud Environment using Trusted Multiple Cloud Service Providers’, Sixth International Conference on Advanced Computing (ICoAC), ISBN: 978-1-4799-8466-4, Page No. (14 – 18), Dec 17-19, 2014.
[5] Anitha Y, ‘Security Issues in Cloud Computing- A Review’, International Journal of Thesis Projects and Dissertations (IJTPD), Volume 1, Issue 1, pp: (1-6), December 2013.
[6] Anjali Nigam and Vineet Singh, ‘A Study on Data Transmission Security Threats in Cloud’, International Journal of Innovative Research in Computer and Communication Engineering, Volume 4, Issue 5, ISSN (Online): 2320-9810, May 2016.
[7] Munwar Ali Zardari, Low Tang Jung and Mohamed Nordin B.Zakaria, ‘Hybrid Multi-cloud Data Security (HMCDS) Model and Data Classification’, International Conference on Advanced Computer Science Applications and Technologies (ACSAT), Page No. (166-171), Dec 23-24, 2013.
[8] Advanced Encryption Standard. http://searchsecurity.techtarget.com/definition/Advanced-Encryption-Standard.
[9] Rajleen Kaur and Amanpreet Kaur, ‘A Review Paper on Evolution of Cloud Computing, its Approaches and Comparison with Grid Computing’, (IJCSIT) International Journal of Computer Science and Information Technologies, Volume 5, Issue 5, ISSN: 0975-9646, May 2014.
[10] Ritu Pahal and Vikas Kumar, ‘Efficient Implementation of AES’, International Journal of Advanced Research in Computer Science and Software Engineering, Volume 3, Issue 7, July 2013.
[11] Koushik Annapureddy, ‘Security Challenges in Hybrid Cloud Infrastructures’, Seminar on Network Security, 2010.
[12] Akanksha V. Patil and Navnath D. Kale, ‘A Secure Authorized Hybrid Cloud Distributed Key Generation for Encrypted Deduplication of Data’, International Journal of Science and Research (IJSR), ISSN: 2319-7064, 2013.
[13] K.R. Monisha, ‘Secure Cloud Computing using AES and RSA Algorithms’, Proceedings of 20th IRF International Conference, ISBN: 978-93-84209-01-8, March 1, 2015.
[14] Anukrati Dubey, Gunjita Shrivastava & Sandeep Sahu, ‘Security in Hybrid Cloud’, Global Journal of Computer Science and Technology Cloud and Distributed, Volume 13, Issue 2, ISSN: 0975-4350, February 2013.
[15] Pasquale Donadio, Giovanni B. Fioccola, Roberto Canonico and Giorgio Ventre, ‘Network security for Hybrid Cloud’, Euro Med Telco Conference (EMTC), ISBN: 978-8-8872-3721-4, Page No. (1-6), Nov 12-15, 2014.
[16] Ranjit Panigrahi, M.K. Ghose and Moumita Pramanik, ‘Cloud Computing: A new Era of Computing in the Field of Information Management’, International Journal of Computer Science Engineering (IJCSE), Volume 2, No. 5, ISSN: 2319-7323, September 2013.
[17] Siddharth Mishra, Puneet Sharma ‘A Study on Concerns and Impetus Aspects for Hybrid Cloud Adoption’, International Journal of Innovative Research in Computer and Communication Engineering, Volume 4, Issue 3, ISSN (Online): 2320-9810, March 2016.

Siddharth Mishra, Puneet Sharma, "Hybrid Cloud Data Security Model Using Splitting Technique," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.108-112, 2016.

There are lots of applications where only periodic monitoring (sweep coverage) is sufficient instead of continuous monitoring. The main goal of sweep coverage problem is to minimize the number of mobile sensor nodes moving with uniform velocity required to guarantee coverage as per given sweep time. In the sweep coverage scenario, deployment of static sensor nodes may partially solve the purpose but it suffers from poor efficiency and unnecessary extra overhead. Moreover, static sensor network suffers from static sink neighborhood problem in which the sensors which lie near to the sink node dies due to which the sink disconnects from rest of the network.

Sweep coverage; Approximation algorithm; Mobile sensor; TSP; MST; Euler tour; Tessellations

[1] Vijay V. Vazirani, “Approximation Algorithms”, Springer, First Edition-2003, ISBN:978-3-662-04565-7.
[2] Seapahn Meguerdichian, Farinaz Koushanfar, Miodrag Potkonjak, ManiB. Srivastava,“ Coverage Problems in Wireless Ad-hoc Sensor Networks ”, Twentieth Annual Joint Conference of the IEEE Computer and Communications Society, Org by- Anchorage, AK, USA, pp(1380–1387), April 22nd-26th, 2001, ISBN: 0-7803-7016-3.
[3] Edoardo S. Biagioni, Galen Sasaki,“Wireless sensor placement for Reliable and Efiicient data collection”,IEEE 36th Annual Hawaii International Conference on System Sciences, 2003. Proceedings of the - Big Island, HI, USA, January 6th-9th, 2003, ISBN:0-7695-1874-5.
[4] Guiling Wang.Guohong Cao,T. LaPorta, “A bidding protocol for deploying mobile sensors ”, Transactions on Mobile Computing ,Volume-06,Issue-05,Page No(563-576) , May 2007.
[5] Mingming Lu, Jie Wu, MihaelaCardei, Minglu Li, “Energy-efficient connected coverage of discrete targets in wireless sensor networks ”, Springer: Networking and Mobile computing , Volume-3619, Page No(43–52) , May 2005.
[6] Santosh kumar, Ten H .Lai, Anish Arora,“Barrrier coverage with wireless sensors”,Mobicom’05 Proceedings of the 11th annual international conference on Mobile computing and networking,Org by-ACM, NY, USA, pp(284-298) , August 28,2006,ISBN: 1-59593-020-5.
[7] Ming Ma, Yuanyuan Yang,“Adaptive triangular deployment algorithm for unattended mobile sensor networks”, IEEE Transaction on Computer , Volume- 56 ,Issue-07, Page No(946-958), July 2007.
[8] Min Xi, Kui Wu, Yong Qi, Jizhong Zhao, Yunhao Liu, Mo Li, “Run to potential:sweep coverage in wireless sensor networks” ,IEEE: International Conference on Parallel Processing (ICPP-2009),Sponsored by-IACC, Vienna , Austria , pp ( 50–57) ,September 22nd-25th , 2009 ,ISBN: 978-0-7695-3802-0.
[9] Fadi M. Al-Turjman, Hossam S. Hassanein, Mohamed A. Ibnkahla, “Connectivity optimization for wireless sensor networks applied to forest monitoring”, In: Proceedings of the 2009 IEEE International Conference on Communications, (ICC-09), IEEE Press, Piscataway, NJ, USA, pp( 285–290),June 14th-18th,2009, ISBN: 978-1-4244-3435-0.
[10] Hung-Chi Chu, Wei-Kai Wang, Yong-Hsun Lai,“Sweep coverage mechanism for wireless sensor networks with approximate patrol times”, Ubiquitous Intelligence & Computing and 7th International Conference on Autonomic & Trusted Computing (UIC/ATC), Xian, Shaanxi, pp( 82–87) ,October 26th-29th,2010,ISBN: 978-0-7695-4272-0.
[11] Barun Gorian and Partha Sarthi Mandal, “Point and area sweep coverage in wireless sensor networks”,11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), Tsukuba Science City, pp (140-145) ,May 13th-17th ,2013,ISBN : 978-1-61284-824-2.
[12] Novella Bartolini, Tiziana Calamoneri, Emanuele G. Fusco, Annalisa Massini, Simone Silvestri , “ Push & pull: autonomous deployment of mobile sensors for a complete coverage”, Wireless Netw. ,Volume-16,Issue-3,Page No(607–625),Jan 2009.
[13] Junzhao Du, Yawei Li, Hui Liu, Kewei Sha,“On sweep coverage with minimum mobile sensors”, In:Proceedings of the 2010 IEEE 16th International Conference on Parallel and Distributed Systems, ICPADS’10, IEEE Computer Society,Washington, DC, USA, pp( 283–290),Dec 8th-10th, 2010, ISBN: 978-0-7695-4307-9.
[14] Mo Li, Wei-Fang Cheng, Kebin Liu, Yunhao Liu,Xiang-Yang Li, Xiangke Liao,“Sweep coverage with mobile sensors”, IEEE: Transaction on Mobile. Computing, Volume-01, Issue-11, Page No (1534–1545), Nov 2011.
[15] Adrian Dumitrescu, MinghuiJiang, “Sweeping an oval to a vanishing point”, Elsevier: Discrete applied mathematics, Volume-159, Issue-14, Page No(1436-1442) , Aug 2011.
[16] Gautam K. Das, Robert Fraser, Alejandro López-Ortiz, Bradford G. Nickers,“On the discrete unit disk cover problem”, WALCOM: Algorithms and Computation, Volume-6552,Page No(146–157), 2011.
[17] Dinesh Dash, Arijit Bishnu, Arobinda Gupta, Subhas C. Nandy, “Approximation algorithms for deployment of sensors for line segment coverage in wireless sensor networks”, wireless networks,Volume-19,Issue-5, Page No(857-870) , Sep 2012.
[18] Nasimkhazan,Ali Braumandinia and Nima Ghazanfari Motlagh,“Node Placement and coverage in Asymmetric area”, International Journal of Advanced Research in Computer Science and Software Engineering,Volume-2,Issue-11,Page No(278-282), Nov 2012.
[19] Barun Gorian and Partha Sarthi Mandal, “Approximation algorithim for sweep coverage in wireless sensor networks ” , Journal of Parallel and Distributed Computing , Volume-74, Issue-8, Page No(2699-2707), Aug 2014.

Gurbax Kaur, Ritesh Sharma, "A Review on Sweep Coverage in Wireless Sensor Networks," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.113-117, 2016.

India has more than sixty percent of its total area for agricultural purpose. Agricultural sector is the backbone for all the developing countries. Agriculture sector continue to play a vital role in the development of the economy. Data Mining supports decision making process and prediction. Agriculture needs the decision support system in variety of ways such as type of crop to be cultivated. There were many researches going on to support the agriculture using data mining. Analyzing soil provides major contribution to the support of the farmers. This paper analyzing Salem District soil data using data mining techniques.

Agricultural Soil, J48, Naïve Bayes Classification, Weka, Data mining

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[11] Random forest “Wikipedia”.

N. Hemageetha, G.M. Nasira, "Analysis of the Soil Data Using Classification Techniques for Agricultural Purpose," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.118-122, 2016.

In recent years, semiconductor nanocrystals quantum dots (QDs) have been extensively studied because of their unique optical and electronic properties compared to their bulk counterparts. This ability to tune the bandgap of the QDs through the control of the particle size can provide near-infrared emission covering the important wavelength region for the fiber optic communication. We have doped the optical fiber core by quantum dots (QDs) to integrate the emission characteristics of quantum dots with propagation characteristics of optical fiber. In particular, narrow bandgap materials such as PbS and PbSe have attracted much attention. Due to the large bulk exciton Bohr radii of PbS (18 nm), quantum confinement effect can be achieved over the wide range of the particle size. Application specific QDs can be incorporated into the optical fiber core. It was reported that PbS nanoparticles could provide the emission over the whole transmission window (1200–1700 nm) of silica fibers, and therefore could be promising for all-wave optical amplifiers. We have carried out numerical investigation such amplifier characteristics and have shown incremental gain values. Simulation results show that it is possible to design an optical amplifier with flattened gain characteristics over S, C, and L bands with low noise figure, moderate optical signal to noise ratio and minimum gain of 10 dB.

Quantum dots; excitons; nanoparticles; quantum confinement; amplified stimulated emission

[1] W. Huang, Y.-Z. Chi, X. Wang, S.-F. Zhou, L. Wang, E. Wu, H.-P. Zeng, and J. R. Qiu, “Tunable infrared luminescence and optical amplification in PbS-doped glasses,” Chin. Phys. Lett., vol. 25, pp. 2518–2520, 2008.
[2] H. Jong and L.Chao, “Pbs quantum-dots in glassmatrix for universal fiber optic amplifier”, J. Mater. Sci: Mater. Electron., vol. 18, pp. S135–S139, 2007.
[3] G. P. Agrawal, “Fiber-Optic Communication Systems,” 3 ed. John Wiley & Sons, Inc., New York, 2002.
[4] http://en.wikipedia.org/wiki/Quantum_dot
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[10] C. R. Giles and D. Emmanuel, “Modeling erbium-doped fiber amplifiers,” J. Lightw. Technol., vol. 9, no. 2, pp. 271–283, 1991.
[11] T. Wang, F. Pang, K. Wang, R. Zhang and G. Liu, “Evanescent wave coupled semiconductor quantum dots fiber amplifier based on reverse Micelle method,” Proceedings of the 7th IEEE, International Conference on Nanotechnology, Hong Kong, pp. 819–822, Aug. 2–5, 2007.
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Parnika De and Shailendra Singh, "Enhancing Properties of Fiber Amplifier using Quantum Dots," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.123-131, 2016.

Rice is an important crop in the world and India holds the second position among the rice producing country. As the population increases day by day and the total cultivating land is remains fixed, the demand is getting high whereas production remains almost constant. So in this paper a GIS based decision support system for rice production is proposed to increase the yield of production. The system takes data related to ongoing practice of rice cultivation and different parameters which affects the production of rice, store these data to a database and helps to take decision in an efficient manner.

Raster Image, Digitization

[1] “Rice production in West Bengal of India”, www. tradingeconomics.com/india, 2016.
[2] “Problem in rice production in India” ,www.gov.my/c/document_library, 2016.
[3] Das S. and Mandal J.K., “ A GIS based Bio Informatics Tool for Tea Garden Management”, Proceedings of the National Conference on Bioinformatics Computing, TIET, Patiala, 18 – 19 March, 2005, pp.119-125.
[4] Das S, Dutta A, Banik S and Mandal, J. K, “ Weed Control System of Tea Garden using GIS based Database Management System”, Proceedings of International Conference on Modeling and Simulation (CITICOMS 2007), Coimbatore, 27-29 August, 2007 , pp. 1252-1257.
[5] Das S. and Mandal J.K,”A Fertilizer Scheduling Approach on Tea Bushes Using GIS based Database Management System”, Proceedings of National Conference on Information Technology: Present Practices and challenges (NCIT), New Delhi, August 31- Sept 1), 2007, pp. 502-506
[6] Das G, “The study of crop combination regions in Jalpaiguri District, West Bengal, India”, “Acme International Journal of Multidisciplinary Research, Volume- I, Issue- IX”, Sept., 2013, pp. 27-33.
[7] Bureau of Applied Economics and Statistics, Department of Statistics and Programme Implementation, Government of West Bengal: District Statistical Hand Book, Jalpaiguri, 2011.
[8] District Census Hand Book, Jalpaiguri, 2011, Government of India.
[9] “ Rice production in Jalpaiguri”, www.nrdms.gov.in, 2016.
[10] Biswas S,”Nature of soil properties and their function in different parts of Jalpaiguri district”, The Journal of Bengal Geographer, Vol II, No. I, January, 2013, pp. 58-66.
[11] “Rice production in Jalpaiguri”, www.nfsm.gov.in, 2016.
[12] “ Annual rainfall in Jalpaiguri District” , www. wbagrimarketingboard.gov.in, 2016.

Swarup Das , "A Proposed Decision Support System to Sustainable Production of Rice Using GIS Tools," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.132-135, 2016.

Information Technology plays an important role in Multi-National corporations with thousands of computer systems to small business organizations with a single system. Every business organization maintains IT Sector which is charged with maintaining and monitoring information. As rapid increase in information technology and omnipresent of internet has caused information breaches to grow faster. An information breach is a security incident in which confidential data of the organization has been stolen and used by unauthorized personnel. Information breaches may involve financial, personal information such as credit card or bank details, personal identification details, health insurance details and trade secret information of organizations. So protecting such confidential data has become a vital and integral part of each and every organization. This paper deals with security breaches, vulnerabilities in information systems and demonstrates security with column masking and data encryption techniques.

Data Masking, Column Masking and Data Encryption

[1] B. Lakshmi, K. Parish Venkata Kumar, A. Shahnaz Banu and K. Anji Reddy, “Data Confidentiality and Loss Prevention using Virtual Private Database.”, International Journal on Computer Science and Engineering (IJCSE) ISSN : 0975-3397 Vol. 5 No. 03 Mar 2013 143.
[2] Ravikumar G K, Manjunath T N, Ravindra S Hegadi, Umesh I M, “A Survey on Recent Trends, Process and Development in Data Masking for Testing” IJCSI International Journal of Computer Science Issues, Vol. 8, Issue 2, March 2011.
[3] Ajayi, Olusola Olajide, Adebiyi, Termidayo Olarewaju, “ Application of Data Masking in Achieving Information Privacy” IOSR Journal of Engineering, ISSN (e): 2250-3021, ISSN (p): 2278-8719, Vol. 04, Issue 02 (February. 2014), ||V1|| PP 13-21.
[4] Insiders Behaving Badly, IEEE Security & Privacy (Volume:6 , Issue: 4 )
[5] A Review on Database Security, International Journal of Science and Research (IJSR) ISSN (Online): 2319-7064
[6] http://spdp.di.unimi.it/papers/wiley.pdf
[7] http://www.cse.hcmut.edu.vn/~c503002/Files/TRUONGQuynhChi/Slides/Chap9_DBS.pdf
[8] https://www.dtc.umn.edu/umssia/resources/day7a_08.pdf
[9] Emil Burtescu, “Database Security - Attacks And Control Methods”, Journal of Applied Quantative Methods http://www.jaqm.ro/issues/volume-4,issue-4/pdfs/burtescu.pdf

Lakshmi B, Ravindra Babu H and Murali Krishna A, "Preserving Privacy using Column Masking and Data Encryption Techniques," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.136-141, 2016.

Before the Information Communication Technology (ICT) era; most of the systems in Kurdistan Region Independent (KRI) were in a traditional way. But nowadays systems is not fully electronic because all systems are working with human activity, thus hundred percentages of systems in KRI is neither traditional nor fully electronic, but it’s Semi Electronic (SE) due to impossibility of services without human activity. The human activity and the ICT facilities (i.e. SMS, email, mobile and landline phone, Answering machine, Viber and Fax) are both working to reach to target. The fully Electronic Systems (FES) is much better than SES because of the real time availability and controlled by administrator of the Internet facility and as fewer as of human interfering. The proposed electronic hospital system (EHS) in this paper has the facility of integrating all prototypes are in one home page and connected by the hyperlink-unintelligent recommendation method. The proposed EHS is designed and implemented using both (Two and Three) Tier Architectures named (2TA and 3TA) respectively. To determine server(s) efficiency (i.e. response-time) for both of 2TA and 3TA, two different techniques are depended. First one is traditional hand-writing program by Hypertext Preprocessor (PHP) script code, and second one is ready application namely Wireshark (Network Protocol Analyzer). Two different platforms (i.e. Operating System (OSs)) are depended for performance analysis which are; Linux-Ubuntu version14.04 and Microsoft Windows-7.

Client/Serve architecturer; Tiers Architecture Web Applications; Database Systems

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[5] L. Sallau,” Design and Implementation of Telemedicine System”, University of IT Software System, Nigeria University of Technology Nigeria, 2011.
[6] B. Oguntunde , M.Odim ,” A framework for a multi-tier Internet Service architecture for doctors’ directory”, International Journal of Computers & Technology, India, Volume 4, No.2, 2013.
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[8] N. Ahmed, N. Yasin, “FACTORS AFFECTING COOPERATION AMONG PHYSICIANS IN SHARING INFORMATION WITHIN THE HOSPITAL ENVIRONMENT: A STUDY OF TWO HOSPITALS”, Journal of Computer Science, 2014.
[9] S. Mandip,”Development of 3 Tier Revenue Forecasting System”, B.Sc thesis, Computer Science Department, University of Greenwich, 2001.
[10] D.Akunyili,” ICT and E-government” The World Congress on Information Technology, Amasterdam, The Netherlands 25th-27thmay 2010.
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Gheyath M. Othman Zebari, Kamaran Faraj , Subhi R. M. Zeebaree, "Hand Writing Code-PHP Or Wire shark Ready Application Over Tier Architecture with Windows Servers Operating Systems or Linux Server Operating Systems," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.142-149, 2016.

A Modified Sierpinski Fractal patch antenna has been designed and analyzed in this paper. As research in the field of antenna design has already established, therefore it is exceptional that a novel approach is used over conventional antenna design methods to optimize the existing sierpinski fractal antenna. This fractal structure is implemented on square and several iterations are applied on initial shape. The space filling and self-similarity property are used to design above said antenna. The proposed fractal antenna is designed on RT-DUROID substrate of thickness 1.6mm and relative permittivity of 2.2 and mounted above the ground plane at a height of 6mm using IE3D simulation software. Here, microstrip line feed is used to excite the antenna. Performance has been analyzed in terms of return loss, VSWR, input impedance, gain, and bandwidth in the 1 GHz to 5 GHz frequency range. The proposed antenna provides an impedance bandwidth of 56 % and high gain around the resonant frequency of 0.55 GHz .This antenna design can be used in Ground Penetration Radar (GPR), which is found to be suitable for land mine detection.

Fractal Antenna, Return Loss, VSWR, IE3D, Sierpinski Gasket, Simulation

[1] James, J.R. and Hall, P. S., "Handbook of Microstrip Antennas" (Peter Peregrinus).
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Mehak, Shashi B. Rana and Yogesh Bhomia, "Design and Analysis of Modified Sierpinski Gasket Fractal Antenna," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.150-155, 2016.

Image segmentation is an important part of any image analysis process. Meyer’s Watershed algorithm is one of the classical algorithms used for this purpose. But, the results of this algorithm usually suffer from over segmentation problem. To solve this problem, in this paper a new approach for color image segmentation is presented. In this approach, first the input RGB image is converted into HSV one and then the V channel of the later has been extracted. The histogram of the extracted V channel has been equalized to enhance the hidden edges. Here, through experiments, we have found that together Otsu’s thresholding with Sobel Filter forms a better preprocessing step for an image than any of them alone. So, focusing on this fact, the resultant equalized image is thresholded with Otsu’s method and after that filtered by Sobel filter. The filtered image is then sent as input to the watershed algorithm which produces the final segmented image. The output found is free from the over segmentation. Also, the evaluated values of the other image quality metrics like AMBE, NAE, MSE and PSNR show the efficiency of the proposed approach.

Image Segmentation, Color Image Segmentation,Histogram Equalization, HSV Color Space, Otsu’s Method, Sobel Filter and Watershed Algorithm

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Dibya Jyoti Bora, Anil Kumar Gupta, "A New Efficient Color Image Segmentation Approach Based on Combination of Histogram Equalization with Watershed Algorithm," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.156-167, 2016.

Smart and flexible wireless devices brings with them, associate degree ever continued challenge of finding economical suggests that for resource usage. Scope and avenues for capability and coverage improvement in cellular networks area unit perpetually explored. Readying of little cells like microcells, picocells, hotspots, and relays established a good answer to enhance network coverage and capability. However, this will increase in performance occurs with the price of preparation and maintenance of extra base stations. Another fascinating answer to enhance coverage and network capability is that the use of user instrumentality with relaying support.

Heterogeneous Network, UE Relays, Coverage Optimization

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Priya Mehta, Sujeet Singh, Syed Imran Ali , "A Review on Coverage Optimization in Heterogeneous Network," International Journal of Computer Sciences and Engineering, Vol.4, Issue.6, pp.168-172, 2016.