MIT-World Peace University (MIT-WPU) is a top educational institute located in Pune, India. It is recognized within&nbsp;UGC under Government of Maharashtra Act No. XXXV 2017.&nbsp;

It is part of the MIT group of institutions (established in 1983) which covers 10+ campuses across India and has more than 50,000+ students enrolled across various disciplines at a given point of time. The institute houses 15 schools ranging from Engineering &amp; Technology, Design, Pharmacy, Commerce, Governance among others. It offers undergraduate, postgraduate and PhD programs among different disciplines.&nbsp;

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MIT World Peace University

School of Computer Engineering & Technology

Now-a-days Cloud computing is become more popular as cloud infrastructure for storing the data. Data owners are storedtheir data in public cloud for the flexibility and cost-saving. In data privacy protection, before saving sensitive data it is encrypted. Usertrust, privacy and security are more concerns. Most frequently used queries for online data analytic is the range query. Consumercentriccloud computing is used for development of smart electronic devices combined with the cloud computing technologies. Differentcloud services are provided to the customers with the premise that an effective and efficient cloud search service is provided. Localitysensitivehashing is provided the approximate queries that to distributed data servers which give problem of the imbalanced load andspace inefficiency, in which limits the query accuracy and incurs long query latency between users and cloud servers. This type of queryservices could be expensive for data owner. More incremented services computing and cloud computing, it is possible to outsource largedatabases to database service providers and the providers maintain the range-query service. Using outsourced services, the data ownercan reduce the cost of storing data in cloud infrastructure. Cloud computing providing reliable, customized, and guaranteed computingdynamic environment for end users.

World University root node

Engineering and Technology

International Journal of Science and Research (IJSR), ISSN (Online): 2319-7064

Survey on: Query services in Cloud Security

Vehicular Delay tolerant network (DTN) is mainly characterized by intermittent connectivity, long and variable delay, asymmetric data rates and high error rates. Nodes are operated by using store-carry-and-forward mechanism to forward the packets. DTN nodes are mobile in nature and they have limited time to hold a packet to forward it to the other nodes. Therefore, after specified amount of time bundle dropping event happens. Velocity and bundle holding time are the two major parameters which cause bundle dropping. In this paper, we studied and analyze the impact of velocity and bundle holding time on the bundle dropping event. More the velocity of a DTN node and the bundle holding time, more the probability a DTN node can contact with other DTN nodes which increases the bundle delivery. © 2015 IEEE.

2015 International Conference on Industrial Instrumentation and Control, ICIC 2015

Impact of velocity and bundle holding time on bundle dropping event in Vehicular Delay tolerant network

E-Commerce has already entered into the Indian market for online shopping. People are more inclined towards online shopping which has changed the complete market scenario. There are several online shopping portals offered by organizations such as, Amazon, Flipkart, Snapdeal, Junglee, Jabong, and others, which are enjoying their online market share. As the number of online buyers and traders are increasing, effective business techniques need to be adopted to handle the large amount of data generated every day. Recommendation Systems play an important role in filtering this data and providing adequate information to the users. Various techniques like Collaborative Filtering, Content-based, and Demographic have been adopted for recommendation but there are several drawbacks causing these techniques to fail in providing effective recommendations. Therefore, it is necessary to identify more distinguishing features for optimizing these techniques. This can be achieved through utilizing the strengths of various techniques in a hybrid manner. This paper describes an effective hybrid technique for book recommendation with the use of Ontology for user profiling to increase system efficiency. © 2015 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.

Fulltext

Procedia Computer Science

Introducing hybrid technique for optimization of book recommender system

The requirement to perform complicated statistic analysis of big data by institutions of engineering, scientific research, health care, commerce, banking and computer research is immense. However, the limitations of the widely used current desktop software like R, excel, minitab and spss gives a researcher limitation to deal with big data. The big data analytic tools like IBM Big Insight, Revolution Analytics, and tableau software are commercial and heavily license. Still, to deal with big data, client has to invest in infrastructure, installation and maintenance of hadoop cluster to deploy these analytical tools. Apache Hadoop is an open source distributed computing framework that uses commodity hardware. With this project, I intend to collaborate Apache Hadoop and R software over the on the Cloud. Objective is to build a SaaS (Software-as-a-Service) analytic platform that stores & analyzes big data using open source Apache Hadoop and open source R software. The benefits of this cloud based big data analytical service are user friendliness & cost as it is developed using open-source software. The system is cloud based so users have their own space in cloud where user can store there data. User can browse data, files, folders using browser and arrange datasets. User can select dataset and analyze required dataset and store result back to cloud storage. Enterprise with a cloud environment can save cost of hardware, upgrading software, maintenance or network configuration, thus it making it more economical. © 2015 IEEE.

Proceedings - 1st International Conference on Computing, Communication, Control and Automation, ICCUBEA 2015

CBA: Cloud-based bigdata analytics

Outsourcing of data is increasing with the rapid growth of internet. There is every possibility that data reaches illegal hands. As a result, there is increase in illegal copying of data, piracy, illegal redistribution, forgery and theft. Watermarking technology is a solution for these challenges. It addresses the ownership problem. It deters illegal copying and protects copyright of data. Watermarking technology mainly involves the process of watermark insertion and watermark extraction. Watermark insertion means embedding an imperceptible watermark in the relational database. In watermark extraction we extract the embedded watermark without the help of original database. In this paper we propose a new watermarking technique, which will watermark both textual and numerical data. Our proposed method also does watermark verification where, the watermark extracted from the database is compared with the original watermark that is known only to the owner of the database. This is accomplished through Levenshtein distance algorithm. © 2015 IEEE.

Proceedings - 2015 International Conference on Communication, Information and Computing Technology, ICCICT 2015

A robust technique for relational database watermarking and verification

Automatic extraction of chemical names has a great importance in biomedical and life science research field. In the proposed system, accuracy in training data generation is improved by generating large amount of regular expressions. Regular expressions are generated from systematic chemical names collected from PubChem Database. Due to large amount of regular expressions, accuracy in chemical name extraction is also improved. In the work carried out, an efficient chemical name extraction system is designed. It is deployed by processing the algorithm in following steps. First stop words are removed. After removal of stop words trivial name extraction is performed by dictionary matching approach. Then CAS/Registry numbers are extracted by regular expression. For systematic name extraction, sample systematic names from various categories are given as an input for training. Normalization type 1 and type 2 is performed on these sample systematic names which is followed by tokenization. Finally regular expressions are generated from training data. Input document is then matched with the regular expressions to extract systematic chemical names.

International Research Journal of Engineering and Technology

Chemical Name Extraction and its application to Rule-based System

This paper aims to proposed emotion recognition using electroencephalography (EEG) techniques. Recognizing emotion by using computers is becoming popular these days. This paper is based on calculating EEG signals and recognizing emotion from human brain activity. Electroencephalogram (EEG) signals are taken from the scalp of the brain and assessed in responds to several stimuli from the four basic emotions on the IAPS emotion stimuli. Features from the EEG signals are captured using the Kernel Density Estimation (KDE) and classified via the artificial neural network classifier to recognise emotional condition of the subject under test. Results are obtained to prove that the proposed modified KDE gives better results in terms of accuracy. Also, the proposed method gives better estimation of emotion of the subject from streaming EEG data by using the concept of cluster kernels. © 2015 The Authors. Published by Elsevier B.V.

An approach to eeg based emotion recognition and classification using kernel density estimation

Raga plays an important role in Indian classical music. Raga is made up from the swara or note. According to characteristics of raga, Indian classical music is further divided into two systems Hindustani / North Indian classical music, Carnatic / South India classical music. This paper introduces us with some basic terms in Indian classical music and terms associated with raga. Then we discussed different techniques for raga identification along with their system structure. Different challenges associated with raga identification. © 2014 IEEE.