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

Engineering and Technology

: with the advent of cloud computing, it has turned out to be progressively prevalent for data owners tooutsource their information to open cloud servers while permitting information clients to recover this information. Forprotection concerns, secure ventures over encrypted cloud information have motivated a few research works under thesingle owner model. In any case, most cloud servers in practice don't simply serve one owner; rather, they supportvarious owners to share the advantages brought by distributed computing. Hence these data owners can upload theirfiles over the cloud so that the different data users could find various files and use them.

School of Computer Engineering & Technology

World University root node

International Journal of Innovative Research in Science, Engineering and Technology

A Survey on Privacy Preserving Ranked Multi-Keyword Search for Multiple Data Owners over Encrypted Cloud Data

Recently, cloud computing become more popular,data owners shows their interest or prefer the cloud forstoring their personal data, by storing data into the cloud savethe economical funds and gives the great flexibility. Asproviding security to the data is the challenging task for theresearchers, for protecting the data sensitive data have to beencoded before outsourcing the data. To accomplish theprivacy preserving effective search over encoded cloudinformation this paper presents the hierarchical clusteringapproach. Alongside this precise and proficient search overoutsourced information, security is additionally consideredwith user revocation approach. Another more imperativecomponent of this framework is data duplication checkingwith SHA1 hashing strategy. This strategy will not permit thedata owner to store the duplicate data at cloud server. Byusing the data duplication technique memory overload isreduce on cloud. In this framework for clustering process EMclustering is used, and finally compare the EM clusteringalgorithm with K-means clustering algorithm. Experimentalresults demonstrate that the framework has numerousadvantages like efficient and effective memory and timeutilization, efficient and secure search over encrypted data,secure data storage and data duplication checking.

International Research Journal of Engineering and Technology (IRJET)

Efficient Privacy Preserving Clustering Based Multi Keyword Search

For urban modeling LiDAR images play very important role. High spatial resolution data and sophisticated methods are required by many data pre-processing techniques for LiDAR images for detecting buildings. In late decades, building and tree identification from LiDAR information and aerial images with high automation and precision level has been the center of numerous scientists which was chosen as the motivation behind this survey. This study reviews latest advances in techniques used for detecting buildings and tress. Support Vector Machine (SVM) used for classification proved as best classifier for good accuracy. The comparative study reveals positive and negative approach towards strategies used for detection. © 2017 IEEE.

School of Electronics & Communication Engineering

Proceedings of the 2017 International Conference On Big Data Analytics and Computational Intelligence, ICBDACI 2017

Empirical study on building and tree detection

A Survey On Secure Alternate Path Selection For Enhanced Network Lifetime in Wireless Sensor Network

School of Civil Engineering

Soil Stabilization by Coarse Sand for Different Soils and Pavement Cost Evaluation

SURVEY: DESIGN PATTERNS IN WEB BASED APPLICATIONS

Considering the extent of money involved in real estate, there is a need of accurate prediction of value of a property which can be achieved through application of some artificial intelligence technique. This study mainly focuses on case study of Pune city in India and tries to predict value of commercial properties in the study area. The prime aim of the present investigation is to study the ascertaining value of property using neural networks. The results show 99% correlation coefficient for selected combination of cases with a high percentage rate of prediction. This study would help the prospective buyer to make the best buying decision so as to gain maximum returns in future.

Model for Rate Prediction of Commercial Properties in PMC

2017 International Conference on Computing, Communication, Control and Automation (ICCUBEA)

Implementation of Spectral Subtraction Using IBM in Simulink

This paper presents the results of laboratory work carried out for identifying the outer race bearing fault occurred in an induction motor. The knowledge about fault behavior of an induction motor is extremely important for overall operational life of the machine. The paper refers to spectral analysis of the motor stator current, which includes routine stator current, noise and specific fault current signature. Using separate healthy and faulty bearing on the machine, testing is carried out for obtaining set of healthy and faulty currents for different load conditions. The specific fault signature can be separated using feature extraction in time domain Wavelet and after getting spectral information using classification technique ANN fault is identified. © 2017 IEEE.

School of Electrical Engineering

RTEICT 2017 - 2nd IEEE International Conference on Recent Trends in Electronics, Information and Communication Technology, Proceedings

Outer race bearing fault identification of induction motor based on stator current signature by wavelet transform

ObjectiveApproximately 50% patients with a deep bite possess anatomically extruded mandibular canines. The objective of this study was to specify the required toe (θ) of the vertical segment of a cantilever from the distal aspect to achieve pure intrusion of a mandibular canine with a segmented arch in lingual orthodontics. Additionally, the optimum magnitude of the required intrusive force by a cantilever was determined assuming non-linear, hyper-elastic behaviour of periodontal ligament (PDL).MethodsThe geometrical model of a mandibular canine tooth was developed and the mathematical equation was devised to evaluate θ (positive value: toe-in, negative value: toe-out) based on certain input parameters. To verify this numerical study by finite element analysis (FEA), total eight different positions of point of force application (Pf) on bracket top (occlusal) surface were considered based on different values of input parameters.ResultsThe results were displayed in terms of nature of tooth movement and Von-Mises (equivalent) stresses generated in the PDL. Additionally, the optimum magnitude of the required intrusive force within the biological limit of a mandibular canine was determined from FEA considering the strength of PDL and factor of safety.ConclusionsThe numerical study was developed to compute the value of required toe angle (θ) of the vertical segment of a cantilever for different morphologies of a mandibular canine as well as different positions of Pf. From FEA, the optimum range of an intrusive force within the biological limit of a mandibular canine was found to be 20–30 g.