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Image dehazing is a method to improve the images gained in poor weather conditions, for example, haze and dimness. Existing image dehazing strategies are principally in view of dark channel prior. Since the dark channel isn`t sensible for sky regions, a sky division and area wised medium transmission based image dehazing strategy is proposed in this paper. Right off the bat, sky regions are divided by quad-tree part based component pixels location. At that point, a medium transmission estimation strategy for sky regions is proposed in view of shading trademark perception of sky regions. The medium transmission is then separated by an edge saving guided channel. At long last, in light of the evaluated medium transmission, the hazed images are reestablished. Exploratory outcomes show that the execution of the proposed strategy is superior to that of existing techniques. The reestablished image is more regular, particularly in the sky regions.

Image dehazing, image segmentation, dark channel prior

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D. Bhagya Sree, "A Novel Framework for Image Dehazing," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1398-1403, 2018.

Individual web reversion on programs is a typical yet uneasy assignment for consumers since of the extensive volume of website pages taken in day by day life. Enlivened through the human memory and its common review qualities, we construct an individual web reversion device, WebPrev, to encourage clients to return to past site pages through related memory signals. To impersonate clients` wordy memory review, we show an approach to naturally produce a wealth of related logical metadata (e.g., Date, Location, Activity) and compose them as setting tree for every website page in an existence cycle. Popular the time being, web content (e.g., theme name, point catchphrases and so on.) is extricated and overseen in a weighted term list, which relates to semantic memory In this paper we examine about some writing that, how critical for return to the website pages in web programs and we talk about what techniques is utilized as chunk of calligraphy. In this overview different information mining ideas are viewed as: Gesture Navigation, Linear History Display, Episodic memory, Memento and Youpivot

WebPrev, Gesture Navigation, Linear History Display, Episodic memory, Memento and Youpivot

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Talari Jyothsna, P.Venkateswara Rao, "Intimate Web Reversion Based on Framework in addition Gratified Keywords through Potential Criticism," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1404-1410, 2018.

Today Cloud computing is not a trend anymore. It has become an important tool for many organisations which helps to outsource their IT, instead from having it in-house. Most of the companies nowadays are deciding for cloud solutions to reduce their costs and overall IT spending. This is a great way to invest more in other initiatives such as customer experience rather than hardware or software. Despite challenges with infrastructure, security and trade policy, India remains a top market for U.S. cloud services exporters due to its large number of consumers with Internet access. India boasts 250 million people with web connected devices; it has already changed both business and everyday life – from consumers who perhaps unknowingly use it to access their favourite music to companies that purposely harness its powerful resources. While much activity and buzz relating to cloud involves its technological capabilities. SMEs usually have bad technological infrastructure. Either they have to resort to buying expensive software designed for large companies or build their own cheap applications that lack functions. This present article describes that the cloud technology is a smart move for any start-up business in India. Cloud offers the flexibility, agility and security required by SMEs at a modest price. The resources that once were limited only to large enterprises are now conveniently accessible as well as affordable. This paper also focuses cloud has the power to fundamentally shift competitive landscapes by providing a new platform for creating and delivering business value and market growth. It has potential to transform internal operations, customer relationships and small industry value chains, security of data protection of the organizations & to develop a new business models that promote sustainable competitive advantage.

Cloud computing (CC), cost effectiveness, Security & trade policy, cloud -based-business, sustainable competitive advantage

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[22] 23, 24 - April 2014,http://netmundial.br/netmundial-multistakeholder-statement/
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[26] 2018 BSA GLOBAL CLOUD COMPUTING SCORECARD Powering a Bright Future
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ISSN : 2456-3307 , Vol. 1,Issue1, july-August-2016
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Survey Paper | Journal (IJSRNSC) ,Vol.6 , Issue.3 , pp.28-36, Jun-2018

Moumita Biswas, Nabanita De, Paramita Chatterjee, "Cloud Technology and Start-up business Growth in India," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1411-1420, 2018.

Smart Grids are the efficient network for manage and distribute the electricity in the power grids. The smart grid is provided the two-way communication between customers and distributors. In this paper, double layer security technique is designed using steganography spatial domain and cryptography AES algorithm for smart grid database security. In the proposed technique, one time padding initialization vector (IV) is generated based on the edges information of cover image, which resolved the replay attack. The encryption of secret data is done using AES_IV algorithm. Further, the data embedding is done in smooth reason of the image using 2-bit LSB technique. At the receiver end, based on the edges information IV is determined and data extraction is done. The avalanche effect, Peak-signal-to-noise ratio, embedding capacity parameters are measured for performance analysis. The experimental results show that for different images, different IV is generated and quality of output image not degraded.

Steganography, Cryptography, Smart Grid, Avalanche Effect, Initialization Vector, One Time Padding

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[3] Ferrag, M.A., Maglaras, L.A., Janicke, H., Jiang, J. and Shu, L., 2018. A systematic review of data protection and privacy preservation schemes for smart grid communications. Sustainable Cities and Society, 38, pp.806-835.
[4] Chaudhary, S., Dave, M., Sanghi, A. and Manocha, J., 2016, March. An elucidation on steganography and cryptography. In Proceedings of the Second International Conference on Information and Communication Technology for Competitive Strategies (p. 43). ACM.
[5] Jiang, Y., Zhang, L., Tang, S. and Zhou, Z., 2013, August. Real-Time Covert VoIP Communications over Smart Grids by Using AES-Based Audio Steganography. In Green Computing and Communications (GreenCom), 2013 IEEE and Internet of Things (iThings/CPSCom), IEEE International Conference on and IEEE Cyber, Physical and Social Computing (pp. 2102-2107). IEEE.
[6] Abood, O.G., Elsadd, M.A. and Guirguis, S.K.2017, December. Investigation of cryptography algorithms used for security and privacy protection in smart grid. In Power Systems Conference (MEPCON), 2017 Nineteenth International Middle East (pp. 644-649). IEEE.
[7] Abuadbba, A., Khalil, I., Ibaida, A. and Atiquzzaman, M., 2016. Resilient to shared spectrum noise scheme for protecting cognitive radio smart grid readings− BCH based steganographic approach. Ad Hoc Networks, 41, pp.30-46.
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[10] Neeta, D., Snehal, K. and Jacobs, D., 2006, December. Implementation of LSB steganography and its evaluation for various bits. In Digital Information Management, 2006 1st International Conference on (pp. 173-178). IEEE.
[11] Vincent, O.R. and Folorunso, O., 2009, June. A descriptive algorithm for sobel image edge detection. In Proceedings of Informing Science & IT Education Conference (InSITE) (Vol. 40, pp. 97-107). California: Informing Science Institute.
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[13] Bansod, G., Pisharoty, N. and Patil, A., 2016. PICO: An Ultra Lightweight and Low Power Encryption Design for Ubiquitous Computing. Defence Science Journal, 66(3).
[14] Chakraborty, S., Jalal, A.S. and Bhatnagar, C., 2017. LSB based non blind predictive edge adaptive image steganography. Multimedia Tools and Applications, 76(6), pp.7973-7987.

Mandeep kaur Sidhu, Anantdeep Kaur, "Smart Grid Database Security Using Steganography Algorithm," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1421-1425, 2018.

As there is great demand for the reduction of CO2 emission all over the globe. Efforts have been put in the same direction to further reduce the CO2 emission using the solar technology in integration with the Conventional Energy. We have noticed that the proposed scheme may further reduce the emission of CO2 along with that it can also reduce the emission of other harmful green house gases (GHG). Data from a Power situated in Kanpur, India is taken into consideration for analysis on the topic.

Green House Gases (GHG), Renewable Energy, Carbon Emission, Solar Energy

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Zaheeruddin, Raj Kumar, V.K. Jain, "Integration of Solar Energy Generation with Conventional Power Generation to Reduce the Emission of Carbon Dioxide and Other Harmful GHG," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1426-1432, 2018.

Sequence analysis aims to explorethe pattern of DNA, RNA and Protein sequences. This analysis involves sequence alignment and extracts the patterns in sequences for the purpose of classification. Sequence analysis can be performed in several ways such as comparison of sequences, computation of similarity measure and mutation detection, based the degree of conserved sequences. It is useful to perform evolutionary analysis, prediction of gene/protein structures and reconstruction of DNA sequences. Sequence alignment plays a vital role in finding similarities among multiple sequences. This article gives an account on the familiar protein sequences alignment techniques being reported. Sequence alignments are of three types: Pair-wise Alignment, Multiple Sequence Alignment and Structural Alignment. The scope of this survey limits to the first two types of alignment. Pair-wise alignment handles a maximum of two sequences at a time, whereas multiple sequence alignment handles more than two sequences. This paper gives a synoptic view on the mechanisms, merits and demerits of select pairwise alignments and multiple sequence alignment techniques to find similarities among sequences

Protein Sequence, Protein Alignment, Local Alignment, Global Alignment, Multiple Sequence Alignment.

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[2] D. Fenstermacher, “Introduction to Bioinformatics”, Journal of American Society for information Science and Technology, Vol.56, pp.440-446, 2005.

[3] B. Alberts, A. Johnson, J. Lewis, “From DNA to RNA”, Molecular Biology”, 4th Edition, 2002.

[4] J. Wu, J. Xiao, Z. Zhang, X. Wang, S. Hu, J. Yu,“Ribogenomics: The Science and Knowledge of RNA”, Genomics Proteomics
Bioinformatics, Vol.22, pp. 57-63, 2014.
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[13] Z.M. Zhou, Z.W. Chen, “Dynamic Programming for Protein Sequence Alignment”, International Journal of Bio-Science and Technology, Vol.5, pp. 141-150, 2013.

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P. Haritha, P. Shanmugavadivu, S. Dhamodharan, "A Comprehensive Review on Protein Sequence Analysis Techniques," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1433-1442, 2018.

In this paper the network reconfiguration based on the method of Binary Particle Swarm Optimization Method (BPSO). It is used to find the optimal distribution network configuration for power loss minimization. The main objective of this paper is to minimize the power loss in the network system by employing reconfiguration technique. This method is applied on 33bus system then it has been verified by BPSO. The proposed work is gives an good performance over the distributed network.

BPSO, Power Loss Reduction, Reconfiguration, Distributed network

[1] Dai, W, Sheng, W.X.,Liu, K.Y. Sheng, Y, Ye,
Z.J,” A novel reconfiguration method in smart
distribution grid considering interval data and
distributed generation. “, In Proceedings of the
International Conference on Computer
Information Systems and Industrial Applications
(CISIA 2015), Bangkok, Thailand,,
pp. 25–28, June 2015.
[2] Gomes, F.V, Carneiro, S, Pereira, J.L.R,
Vinagre,.M.P, Garcia, P.A.N, Araujo, L.R. “A
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distribution systems. “,IEEE Trans. Power Syst. ,
pp.1373–1378, 2005.
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herd algorithm for optimal location of capacitor
with reconfiguration in radial distribution
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Manjunath Ravikumar, "Reconfiguration of Distributed Network using Binary Particle Swarm Optimization Method," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1443-1445, 2018.

Big Data refers that data which cannot be stored and processed efficiently by traditional techniques. Storage and processing of big data is a real challenge. To solve the big data problem, Hadoop provide an optimum framework. Hadoop framework is based on java and it can process data in large quantities. It is able to process unstructured data as well and that too in a distributed manner. In this paper, the authors have studied different dimensions of Big Data and tried to provide the comparison study existing between the resource findings related to it. The authors have further highlighted the various challenges where researchers need to put focus to enhance functionality and power of Big Data Computation.

Big Data, Hadoop, HDFS, Map Reduce, Security

[1] Seref Sagiroglu and Duygu Sinanc, “Big Data: A review”
, IEEE, 2013, pp. 42–47.
[2] Dinesh D. Jagtap and Prof. B.K. Patil, “Big Data using
Hadoop”, International Journal of Engineering Research and
General Science, Oct-Nov 2014, Volume 2, Issue 6, pp. 467
472.
[3] Cloudera white paper, “Hadoop and HDFS”, version 106.
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and Hadoop”, International Journal of Advanced Research in
Computer Engineering and Technology, May 2014, Volume
3, Issue 5, pp. 1571–1575.
[5] Yashika Verma and Sumit Hooda, “A Review Paper on
Big Data and Hadoop”, International Journal of Scientific
Research and Development, 2015, Volume 3, Issue 2, pp.
682–684.
[6] Swarupkumar Shivaji Suradkar, “Analysis of Big Data
with Hadoop Framework”, International Journal of
Advanced Research in Computer Science and Software
Engineering, Nov 2016, Volume 6, Issue 11, pp. 167–169.
[7]Anusha B. Dhakite and Prof. Nitin V. Wankhade, “Big
Data: An Overview”, International Journal of Advanced
Research in Computer Science and Software Engineering,
June 2016, Volume 6, Issue 6, pp. 841–845.
[8] Prabhjot singh, Mamoon Rashid, “Smart Home Automation Deployment on Third Party Cloud Using
Internet of Things”, published in Journal of Bioinformatics and Intelligent Control, Vol. 4, 1–4, 2015.
[9] Ranjana Bahri, “Big Data: Concept, Challenges and
Management Tools”, International Journal of Advanced
Research in Computer Science and Software Engineering,
Feb 2015, Volume 5, Issue 2, pp. 986–990.
[10] Prof. R.A. Fadnavis and Samrudhi Tabhane, “Big Data
Processing using Hadoop”, International Journal of
Computer Science and Information Technologies, 2015,
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[11] Simmi Bagga and Satinder Kaur, “Big Data and
Hadoop”, International Journal of Advanced Engineering
Research and Applications, Oct 2015, Volume 1, Issue 6, pp.
233–238.
[12] Deepika Pand Anantha Raman G R, “A Study of
Hadoop-Related Tools and Techniques”, International
Journal of Advanced Research in Computer Science and
Software Engineering, September 2015, Volume 5, Issue 9,
pp. 160–164.
[13] Abhinandan P Shirahatti, Neha Patil, Durgappa
Kubasad and Arif Mujawar, “Sentiment Analysis on Twitter
Data using Hadoop”, International Journal of Emerging
Technology in Computer Science and Electronics, April
2015, Volume 14, Issue 2, pp. 831–837.
[14] Sukhpal Kaur and Mamoon Rashid, “Web News Mining using Back Propagation Neural Network and Clustering using K-Means Algorithm in Big Data, published in Indian Journal of Science and Technology, Vol 9(41), DOI: 10.17485/ijst/2016/v9i41/95598, November 2016.

Mamoon Rashid, Mir Aamir, Balwant Ram, "Big Data and Hadoop Computational Challenges- A Comparison Study," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1446-1452, 2018.

Image Enhancement is a technique to enhance images for many applications such as medical diagnosis and analysis, satellite images, agriculture etc. This paper is a review paper which focused on recent methods used by the authors such as soft computing for enhancing images, result of the methods used and also its limitation over the images. The main aim of this paper is to analyse the different proposed methods and to identify research problem.

Enhancement, Color Image Processing, Histograms

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Bably Dolly, Deepa Raj, "Various Methods of Enhancement in Colored Images: A Review," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1453-1459, 2018.

Virtualization is a technique, in which the creation of a virtual, rather than actual version of something. In computing, virtual is a digitally replicated version of something real. The replication, which is created with software, may not be an exact copy of the actual item, but it is similar enough in essence to be described as a digital rendition. The term virtualization broadly describes the separation of a resource or request for a service from the underlying physical delivery of that service. With virtual memory, for example, computer software gains access to more memory than is physically installed, via the background swapping of data to disk storage. Similarly, virtualization techniques can be applied to other IT infrastructure layers - including networks, storage, laptop or server hardware, operating systems and applications. Virtualization is a combination of software and hardware engineering that creates Virtual Machines (VMs) - an abstraction of the computer hardware that allows a single machine to act as if it where many machines. There are many challenges in business like, cost-effective resources utilization, responsiveness in supporting new business initiatives, flexibility in adapting to changes in organization function, expansion and sense of urgency and so on. Virtualization is a fundamental technological innovation that allows skilled IT managers to deploy creative solutions to such business challenges. This paper discusses what virtualization is, how technologies improve it, and how organizations can benefit from adopting virtualization into future IT plans.

Cloud Computing, Grid Computing, Virtualization, Utility Computing, Autonomic Computing

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M E Purushoththaman, "Virtualization: One of The Core Technologies of Cloud Computing and Its Success," International Journal of Computer Sciences and Engineering, Vol.6, Issue.7, pp.1460-1465, 2018.