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Convolutional Neural Network (CNN) is one of the most efficient Deep Neural Networks. The addition of more layers and neurons to the CNN increases its computational complexity. Even though CNNs are capable of solving many real time image recognition tasks flawlessly, it is also crucial to design optimum neural network architecture by reducing the associated memory and computational costs for resource critical applications. The proposed method optimizes a pre-trained CNN model for Traffic Sign Recognition by identifying and eliminating the redundant channels in fully connected layer of the neural network. The basis of the algorithm is that in a large neural network, the contribution of some of the neurons is negligible and can be eliminated without much effect on the overall performance. After eliminating the channels, the resulting model is retrained to compensate for the performance loss. The process of elimination and retraining is repeated until no more redundant channels are identified. The performance of the models so developed are further compared with the original model and evaluated based on accuracy and inference time. By removing 69% of the neurons in the fully connected layer, a compression rate of 2.85 was achieved and inference time got reduced by 97ms .The model so developed had accuracy slightly higher than the original model due to the retraining performed after each iteration.

Convolutional Neural Network, Network Pruning, Traffic Sign Recognition

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[8]. YYihui He ; Xiangyu Zhang ; Jian Sun : Channel Pruning for Accelerating Very Deep Neural Networks (2017), IEEE International Conference on Computer Vision (ICCV)
[9]. Kaoutar Sefrioui Boujemaa, Ismail Berrada, Afaf Bouhoute: Traffic sign recognition using convolutional neural networks, 2017 International Conference on Wireless Networks and Mobile Communications (WINCOM)
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Anjali T P, N Ramasubramanian , "Traffic Sign Recognition Using Optimized Convolutional Neural Network", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.103-106, 2018.

Internet image has been improving day by day, where every activities of a person is concerned with the digital environment. This surfing behaviour of an individual can be monitored and analysed for various purposes. We should be aware that our accessing strategy is a key factor for various companies that leads business growth and the privacy of the user is compromised. Mainly when we are accessing social networks like Facebook, twitter, YouTube and Instagram etc. there are lot of data is being served to the agents of the organization. Accumulating these data, the marketing growth can be analysed. So the user must be known what is happening in the social network. So in this paper we expose how the privacy and knowledge data can be collected from customer and therebycompanies use the customer interaction for their business directly through social media.

SNS, behaviour, business, marketing, privacy, analysis

[1] Composite Behavioral Modeling for IdentityTheft Detection in Online Social NetworksCheng Wang, Senior Member, IEEE, and Bo Yang
[2] The Continuous Rise for Social Networking Privacy and Security, Adrian M. Powell Professor Li Yang CPSC 5620, Computer Network Security University of Tennessee at Chattanooga April 20, 2012
[3] Social networking and identity theft in the digitalSocietyEric HolmBond University, eric.holm@student.bond.edu.au
[4] Business Growth thru Social Media Marketing, AbeerAlharbie,College of Public and International Affairs,University of Bridgeport, Bridgeport, CT06604, USA
[5] Quaestus multidisciplinary research journalthe growing importance of social mediaIn business marketing Pavel Ciprian
[6] Awareness of Behavioral Tracking and InformationPrivacy Concern in Facebook andGoogleEmilee RaderDepartment of Media and InformationCollege of Communication Arts and SciencesMichigan State Universityemilee@msu.edu
[7] The Impact of Social Media on Business Growth andPerformance in IndiaITina P. Singh, IIDr.RatnaSinhaIResearch Scholar, ISBR Research Centre, Mysore University, Karnataka, IndiaIIResearch Guide, ISBR Research Centre, Mysore University, Karnataka, India
[8] Developing an Internet Marketing Strategy 2011 The Internet Marketing Academy &Ventus Publishing ApSISBN 978-87-7681-813-5.
[9] “IntSocial Media, How does it Work for Business?”,W. V. Siricharoen, Member, IACSITernational Journal of Innovation, Management and Technology, Vol. 3, No. 4, August 2012
[10] International Journal of Enterprise Computing and Business System, “Social media and its role in Marketing”,Ms.SisiraNeti, ISSN: 2230-8849, July 2011

D. Ananthi, S. Jenila, "The Development of Business Strategy in the Digital Society of Social Media", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.107-109, 2018.

Image segmentation is a mechanism used to divide an image into various segments. It will make image flat and easy to evaluate. Segmentation process also helps to find region of interest in a particular image. The main goal is to make image simpler and meaningful. Image Segmentation is an main pixel based measurement of image processing which often has a large impact on quantitative image study result. The texture is the main attribute in many image analysis or computer vision applications. The procedures developed for texture segmentation can be subdivided into four categories: structural approach, statistical approach, model based approach and filter based approach. Different definitions of texture are described, but more importance is given to filter based methods, such as Median Filter, Gaussian Smoothing and Mean Filter. These filters are used in Water images. The main objective of this analysis is to study different filtering methods for texture segmentation of water images.

Image Processing, Segmentation, Median Filter, Gaussian Smoothing, Mean Filter

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M. Umamaheswari, "Texture Segmation Based Filters for Water Images", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.110-114, 2018.

With the dawn of easiness in manipulating and transferring digital data in today’s world, insuring digital image integrity has therefore become a major issue. One solution to this problem is to embed watermark in the digital data, i.e. Digital watermarking. Usually watermarking has been used in currency notes, government documents, passport for security features and stamp papers for legal purpose. Watermarking is very beneficial for identifying the document of any authorized person. Digital watermarking emerged as a solution for copyrights detection, protection and maintenance of important data. Millions of private images are generated in various digital devices every day. Cloud computing, one of the most important computing paradigms emerged in recent years. Watermarking techniques to ensure data privacy. Consequently, this framework will increase the speed of development on ready-to-use digital humanities tools.

Digital Watermarking, Cloud Computing, various algorithm and various Techniques

[1]. A survey on watermarking methods for security of cloud data, Mrs. Anitha P1 , Dr. Malini M Patil2 1.2Department of Information Science and Engineering, JSSATE (India), (ICRISEM-16), 26TH February 2016, www.conferenceworld.in.
[2]. Data Provenance for Cloud Computing using Watermark, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 8, No. 6, 2017
[3]. To Propose A Novel Technique for Watermarking In Cloud Computing, © 2015 IJEDR | Volume 3, Issue 2 | ISSN: 2321-9939
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[8]. A Cloud-User Protocol Based on Ciphertext Watermarking Technology, Security and Communication Networks, Volume 2017, Article ID 4376282,14 pages, https://doi.org/10.1155/2017/4376282
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[13]. Secure Medical Images Sharing over Cloud Computing environment, (IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 4, No. 5, 2013.
[14]. A Survey on Watermarking Methods for Security of Cloud Data, Mrs. Anitha P1 , Dr. Malini M Patil2 1.2Department of Information Science and Engineering, JSSATE (India), (ICRISEM-16), 26TH February 2016, www.conferenceworld.in.
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S.Thaiyalnayaki, S.Devi, "Protection of Data in Cloud Computing using Image Processing - Watermarking Technique", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.115-118, 2018.

this paper digital payments are using in developing countries. As the world has become globalized, it is tough to give the whole perspective of digital payments & how this is really helpful in our day-to-day life. This work will give maximum contribution to the knowledge and understanding the digital payment. It reveals that covered some basic points of digital payments & customer relationship management that goes to little higher level. So that it can give the overview on its structure & how it works. The customer can place orders at home to save their time. Digital payment systems have a very important role in E-commerce and they are used to complete E-commerce transactions. The purpose of this paper is to introduce current state, the challenges and future expectations of Digital Payment Systems. It depicts that the details of history of the e-commerce, the current situation of e-commerce and the methods of digital payment systems used in e-commerce. The results of the research show that now-a-days online payment systems are popular. All the respondents have experience on digital payments. Debit card (Visa or MasterCard) and Net Bank, PayPal, Payment wall ,Google Wallet, Mobile Money Wallets, Braintree, Stripe are the most popular digital payment systems, not only in countries. The second one is third-party digital payment systems. PayPal is more popular in the country. The two main factors contributing to choosing digital payment system are convenience and the quickness of transaction. Technical problems and vulnerability to cyber-crime are the main pros of digital payment system. Malware attack and financial issue are the main challenges of digital payment. Having a secure, reliable and trustworthy digital payment environment is important.

Digital payment system, card types, payment

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S. Ramani, "Reviews on Digital Payment System", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.119-123, 2018.

Video survey framework has turned into a basic part in the security and assurance arrangement of urban areas, since Smart Monitoring cameras furnished with canny video examination procedures can screen and pre-alert anomalous practices or occasions. Nonetheless, with the extension of the reconnaissance arrange monstrous observation video information postures colossal difficulties to the examination, stockpiling and recovery in the Big Data time. This paper proposed the new enhanced SVM Algorithm is called IMROVED_SVM. This algorithm shows a novel insightful preparing and usage answer for enormous reconnaissance video information in light of the occasion recognition and disturbing messages from front-end shrewd cameras. The technique incorporates three sections: the astute pre-disturbing for strange occasions, keen stockpiling for observation video and fast recovery for confirm recordings, which completely explores the transient spatial affiliation investigation regarding the unusual occasions in various checking locales. Test comes about uncover that our proposed approach can dependably pre-alert security hazard occasions, considerably diminish storage room of recorded video and essentially accelerate the proof video recovery related with particular suspects.

Big Data, Support Vector Machine (SVM)

[1] Amanze B.C , Ononiwu C.C , Nwoke B.C , Amaefule I.A "Video Surveillance And Monitoring System For Examination Malpractice In Tertiary Institutions" 2016
[2] Junjun Jiang, Member, IEEE, Jiayi Ma, Member, IEEE, Chen Chen, Xinwei Jiang, and Zheng Wang " Noise Robust Face Image Super-Resolution Through Smooth Sparse Representation" 2016
[3] Du Tran, Student Member, IEEE, Junsong Yuan, Member, IEEE, and David Forsyth, Fellow " Video Event Detection: From Subvolume Localization to Spatiotemporal Path Search" february 2014
[4] Ms. Kranti Wanawe 1, Ms. Supriya Awasare 2, Mrs. N. V. Puri " An Efficient Approach to Detecting Phishing A Web Using K-Means and Naïve-Bayes Algorithms" 2014
[5] Divya J " Automatic Video Based Surveillance System for Abnormal Behavior Detection " 2013.
[6] Gerhard P. Hancke 1,*, Bruno de Carvalho e Silva 1 and Gerhard P. Hancke Jr." The Role of Advanced Sensing in Smart Cities" 27 December 2012
[7] R. Raghavendra1 , Alessio Del Bue1, Marco Cristani1,2, Vittorio Murino1,2 " Abnormal Crowd Behavior Detection by Social Force Optimization" 2012

[8] Mubarak Shah " Automated Visual Surveillance in Realistic Scenarios" 2014
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R. Pradheepa, V. Priya, "Anti-Theft ATM Robbery System for Big Video Surveillance using Improved_SVM Algorithm", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.124-130, 2018.

The main aim of this research paper is to study the spatial-temporal load balancing method and its efficiency of load balancing in cloud computing environment. This paper discusses the methods such as the singular structure and algorithms for unified spatial and temporal load balancing. A novel spatial-temporal load balancing approach that exploits both the geographic and temporal variant of power rate to cope with this trouble. To our best understanding, that is the primary strategy that takes a systematic, unified spatial and temporal load scheduling method in this topic.Rigorous evaluation and tremendous reviews based totally on actuallife statistics exhibit that the proposed spatial-temporal load balancing method can substantially schedule work and assure a provider of completion time for person requests.

Cloud computing,spatial-temporal load balancing, cloud computing, unified spatial and temporal approach, algorithms, etc.

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V. Geetha Dhanalakshmi, L. Jayasimman, "A Study on Spatial-Temporal Load Balancing Approach in Cloud Computing", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.131-132, 2018.

Nowadays the ecommerce play a vital role in our day today life .The knowledge of ecommerce is also a great need for the basic economy in India. The increase in ecommerce is increase the necessity of analyzing to make the virtual stores in India. The commercial E-Commerce platforms and Business owners recognize that, analytics are an integral part of success. Analytics make more than 110,000 e-commerce websites out there which depending revenue of a meaningful scale. That doesn`t even include the smaller e-commerce businesses that are new to launch, and growing. They all are competing for the attention of different customer, so it is really need to step up our marketing game to be successful. Using B2C like purchasing and ordering experience in current years as they continue their product discovery and buying behaviors to online and mobile. Research says, in the past decade or so, there have been several changes in consumer behavior .The advantage of sitting at home and comparing prices , features and products has brought new dynamics to the shopping practice the analytics play a crucial role in ecommerce. The paper aims to observe the role of analytics tools in ecommerce and it will make a survey of different business analytical tools available for ecommerce.

E-commerce, Analytics, Tools

[1]Likitha Ravi,Qiping Yan,Sergiu M.Dascalu,Fredrick C.Harris “A Survey of Visualization Techniques and Tools for Environmental Data”
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[5]Zhao Kaidi,” Data visualization” Iscp0075@nus.edu.sg
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Y. Priya, "A Review on Analytics Tools and Techniques for E-Commerce", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.133-138, 2018.

A temporary network of wireless mobile hosts without the assistance of standard administration form mobile ad hoc network (MANET). It has a dynamic topology because mobiles can enter and leave the network continuously. As MANET are wireless, dynamic and have no central administration, maintaining security in this network is difficult. The wireless nature of the communication makes nodes susceptible to various kinds of attacks such as black hole attack, worm hole attacks, DoS attacks etc. In present work, we aim at detection and prevention of the wormhole attack.

MANET, Wormhole

[1] “Prevention of BLACK HOLE attack in MANET Using Indexing Algorithm”, Monika Shivhare1 , Prof. Praveen Kumar , Gautam Department of Computer Science and Engineering Sagar Institute of Research & Technology, Indore, India, IJESC,Volume 7,IssueNo. 5,2017
[2] Dhruvi Sharma, Vimal Kumar, Rakesh Kumar, " Prevention of Wormhole Attack Using Identity Based Signature Scheme in MANET " , Computational Intelligence in Data Mining. Volume 2. Volume 411 of the series “Advances in Intelligent Systems and Computing” pp 475-485. 10 December 2015, Springer.
[3] “Wormhole Attack Detection and Prevention in MANET Using Bait Scheme” Harjinder Kaur , Sukhjit Singh ,Department of Electronics Golden College, Gurdaspur, India,IJESC,Volume 7,IssueNo. 5,2017
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J.Nithyapriya, V. Pazhanisamy, "The Indexing Strategy to Prevent Worm Holes in Manet - An Analysis", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.139-141, 2018.

Over the year several new technologies and applications has being developed to deploy and reap the benefits of the Internet, Voice over Internet Protocol (VoIP) is one of those technologies. VoIP converts the voice signal from your telephone into a digital signal that travels over the Internet. One particular juicy offer that the VoIP provides is its cheapness and the ability to use an existing Internet connection/access to make calls. VoIP has come with both its advantages and challenges which make it yet another issue to worry about. The chief problem is to protect our data in a unique way that could only be worked upon by encrypting the voice data which run over the open network. Enforcement of using encryption is to provide confidentiality in communication channel. Using biometric we can generate an exclusive key that will be unique for each and every individual. Here we propose to make a contribution of the sender’s iris and database iris biometrics to have a secured VoIP communication. After fusing these two irises, the key will be generated. The key will be used for encrypting our data in VoIP. Thus the proposed method will provide secured VoIP communication and billions of unique keys can be generated, making VoIP technology hard for an attacker to guess the key . This key act as a symmetric key for both encryption and decryption. This proposed system is composed following modules 1) Feature extraction of Iris 2) Cryptographic key generation. 3) Fusion of irises.

Biometrics, Cryptosystem, Iris Extraction, Minutiae point, Fusion

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S. Bhuvaneshwari, P. Arul, "Generating Secure Key for VoIP Network by Fusion of Irises", International Journal of Computer Sciences and Engineering, Vol.06, Issue.11, pp.142-146, 2018.