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

School of Computer Engineering & Technology

World University root node

International Journal of Advance Foundation and Research in Computer (IJAFRC {\ldots}

Digital Image Inpainting Using Patch Priority Based Method

School of Petroleum Engineering

National Conference on Energy and Environment

Modelling and Optimization of Fludized Bed Coal Gasifier

International Interdisciplinary Conference

Optimization of Efficiency of Power Plant using HRSG and Combined Cycle Operation

National Conference on Emerging Trends in Engineering, Technology and {\ldots}

Modeling and Simulation of Combined Feed Gasifier for Power Production

School of Electronics & Communication Engineering

National Research Journal of Commerce and Management

Impact Investment Model- A recent trend and a strategy for sustainable Business Management in Small scale and Large Scale units

School of Mechanical Engineering

international Journal of energy

Experimental and numerical investigations on heat transfer and friction factor of absorber with tape inserts

International Journal of Engineering and Management Research

Implementation of RLS Beamforming Algorithm for Smart Antenna System

MapReduce has been widely applied in various fields of data and compute intensive applications and also it is important programming model for cloud computing. Hadoop is an open-source implementation of MapReduce which operates on terabytes of data using commodity hardware. We have applied this Hadoop MapReduce programming model for analyzing web log files so that we could get hit count of specific web application. This system uses Hadoop file system to store log file and results are evaluated using Map and Reduce function. Experimental results show hit count for each field in log file. Also due to MapReduce runtime parallelization response time is reduced. © 2014 IEEE.

Proceedings of the 2014 Conference on IT in Business, Industry and Government: An International Conference by CSI on Big Data, CSIBIG 2014

Analyzing web application log files to find hit count through the utilization of Hadoop MapReduce in cloud computing environment

The limitation with the method of calculating surface water velocity is the direct contact of the velocity measurement tool to the flowing water which results in the mechanical wear and high maintenance cost. This paper describes the flow visualization and surface water velocity measurement technique using the non-intrusive method. This system gives the instantaneous results and is reliable, flexible method which can be applied successfully in many engineering applications. It is a distension of a video imaging technique to measure the velocity using the pattern matching method. The system was indigenously developed with the help of CMOS camera and paper particles which were used as the tracer particles. If video is taken from far distance then ortho-rectification is applied to calculate accurate results. Video was recorded at Bombay airport model, CWPRS, Pune under different environmental conditions. The code is written in MATLAB which includes segmentation, pattern matching and post processing steps. © 2014 IEEE.

Proceedings - 2014 13th International Conference on Information Technology, ICIT 2014

Non-intrusive water surface velocity measurement using spatial cross correlation technique

Measurement of velocity has been a challenging task in the surface water studies. Several attempts to measure the turbulences with contact sensors could not yield accurate results as they alter the flow pattern. The aim of this paper is to implement the noncontact velocity measurement system that is based on an image based technique, named Particle Image Velocimetry (PIV). This paper provides a summary of previous work done in this area and also about the application domains in which noncontact sensors can be used. The process of measurement is initiated by taking video of the water surface using a digital camera which is fixed at a strategically chosen environment. The recorded images are transformed to their undistorted appearance and then processed to obtain velocities at the water surface. The movement of the flow is estimated from pair of consecutive frames through statistical inference conducted on the image patterns floating on the free surface. Velocities are then calculated over the entire image by dividing the estimated displacements by the time interval between successive frames. The main motive of this survey is to provide the summary of the methods observed till now to the researchers. © 2014 IEEE.

2014 International Conference on Electronics and Communication Systems, ICECS 2014

Surface water velocity measurement using video processing: A survey