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

With the recent growth of media platforms such as YouTube, Spotify, etc. These Platforms make content easily accessible but at the same time causes many problems like plagiarized content. Especially with audio content we can observe multiple types of plagiarism like unauthorized use of music for making remix music. To deal with this problem we use audio fingerprinting. It is the process of presenting an audio signal in a closed-packed way by extracting relevant characteristics of the audio signal. This in itself can be used to check the song, but it won't give an accurate result if the plagiarized song is copied from multiple different songs. To solve this particular problem, we use segment matching. © 2021 IEEE.

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School of Computer Engineering & Technology

Engineering and Technology

Proceedings - 1st International Conference on Smart Technologies Communication and Robotics, STCR 2021

Music Plagiarism Detection using Audio Fingerprinting and Segment Matching

Most important and need of the hour issue is water conservation and water pollution. As the whole world is suffering from its population growth and worst water pollution problem due to its industrial growth. Due to this mankind is suffering a lot and most of the developing countries like India and China are unable to provide clean and healthy drinking water to its most of the citizens living in rural areas. Many methodologies are exist to provide the solution for the water leakage and water contamination level detection process, but most of them are relying on the electronic sensors and other electronic gadgets. So proposed methodology put forwards a simple and effective methodology of detection of water leakage based on the hyper graph formation for water distribution network by measuring the water collected levels at the check points using goal programming technique. And again Fuzzy logic is used to detect the water contamination level using its velocity at different checkpoints of the water distribution network.

International Journal of Advance Research and Innovative Ideas in Education; Vol-5, issue-3

Water Leakege and Contamination Detection using Goal Programming and Hypergraph

Internet of thing is new communication system where globally identifiable real world objects are exchanging information with each other over an Internet infrastructure. The major objective of IOT is development of smart environments and self-aware things applications like smart transport, products, cities, buildings, rural areas, energy, health, living etc.As the Internet of Things (IoT) evolves, applications rely on devices without much human intervention. In order to well maintain these sensor devices, it is required to remotely monitor and control devices without consuming significant resources. Managing these remote devices effectively can lead to cost savings and operational efficiency, and designers must create solutions that allow customers to monitor and make changes on the fly instead of manually sending technicians to make changes in the field.This Paper focused on different aspects of Device Management and survey of different protocols used for Device Management in Internet of Things.This paper proposes Device Management life cycle in Internet of Things and provide overview of Device Management user interface. © 2018 IEEE.

Proceedings - 2018 IEEE Global Conference on Wireless Computing and Networking, GCWCN 2018

An Efficient Way to Manage Constrained Devices in Internet of Things

Milk distribution and safety is of high concern as it involves the health of 90% of our society. Our project, milk distribution monitoring system targets the cold chain maintenance and milk spoilage avoidance. The system is based on Internet of Things and data mining. Traditionally milk is supplied in cans with minimum monitoring which may result in milk getting spoiled before its use specially during transportation at any point of time which causes vendors to know about milk spoilage only after the milk has been spoiled completely. To overcome these problems first data mining technique is employed to discover the routing plans so as to generate case-based routing plans for the drivers. Then the existing sensor based system will measure the pH value of milk and determine its quality. The system will direct to nearest milk booth with the highest proximity by using routing technique where data center serves as a cloud server to calculate the costs of a finding the nearest milk booth request, and these costs will be frequently updated by considering the location of van and the total number of milk booth in each areas whose data is accessible any time in the network. This routing algorithm will be used to offer a solution of finding an available milk booth if the PH value deviates from 6.7. This is implemented by a system prototype with wireless access in an open-source physical computing platform based on Ardiuno and using a smart phone that provides the communication and user interface for both the control system and the vehicles to verify the feasibility of the system. It will also give an alert SMS to vehicle driver so that collection of milk can be faster without more spoilage. This way it will maintain good quality and cost effective distribution of milk. © 2017 IEEE.