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Research Paper

Electronic Health Records using Blockchain and Cloud computing

Blockchain technology eliminates the need for a central system to guarantee information integrity and custody of data, as well as to mediate transactions and the exchange of crypto assets, by allowing safe and pseudo-anonymous transactions and bilateral agreements between participants. It has crucial qualities like immutability, decentralization, and openness that could help with pressing healthcare challenges including inadequate records at the point of care and restricted access to patients' own medical information. Interoperability software system and technology frameworks to interact safely and efficiently, share data, and utilize that data across healthcare organizations and application vendors, resulting in a more efficient and effective public health system. Due to a lack of interoperability, healthcare today suffers from compartmentalized and disjointed data, hindered communications, and fragmented workflow tools. In a safe and pseudo-anonymous manner, blockchain provides access to longitudinal, full, and adulterate aware medical records that are kept in fragmented systems. The goal of our suggested scheme is to first integrate blockchain technology for EHR and then to enable safe storage of electronic records for users of the framework by defining granular access controls. The following framework gives the EHR system the advantages of a blockchain-based solution that is extensible, secure, and integrated.

Published by: Sonia S. B., Amrutha D., Bhavana C., Ankitha J.

Author: Sonia S. B.

Paper ID: V7I4-1390

Paper Status: published

Published: July 18, 2021

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Case Study

Marketing retail analytics using tableau and Knime

We deal with the P.O.S (Point of sales) data for a café chain restaurant. Through findings and analysis, we suggest the best ideas for the restaurant to increase its revenues.

Published by: Raghav

Author: Raghav

Paper ID: V7I4-1412

Paper Status: published

Published: July 18, 2021

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Research Paper

AI multi-agent shopping system

An AI based multi-agent shopping system where system is fed with various product details. The system allows user to register and enter his details about a particular product. The system records all the details provided by user and checks for various items matching his search. The system comes up with a list of items best suited for user needs. The system also suggests other related items that the user may like. The system suggests these items which are likely to be bought by the user based on his previous purchases. The system handles multiple users at a time and provides accurate results. Current e-shopping systems use the Internet as its primary medium for transactions. E-shopping has grown in popularity over the years, mainly because people find it convenient and easy to buy various items comfortably from their office or home. This paper has proposed a personalized e-shopping system that helps customers to purchase quality goods and get suggestions from the system to provide better results.

Published by: Mushtaq Ahamed K. S., Mahesh N., Prasanna Kumar P., Dr. Thirukkumaran R.

Author: Mushtaq Ahamed K. S.

Paper ID: V7I4-1374

Paper Status: published

Published: July 18, 2021

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Review Paper

Prediction of stocks and options in stock market using Machine Learning

Machine learning is a type of artificial intelligence that generates predictions based on data by using past stock market indexes as training ground values. Machine learning makes use of a variety of models to make predictions more accurate and easier. The use of machine learning in stock market prediction technology is a trend that helps make better decisions while choosing assets to own. The aim of stock market prediction is to analyze trends and be able to predict the future value of an asset value over time. The analysis in this paper concentrates on asset value estimation utilizing LSTM-based machine learning. The results for the estimation of prices are conducted on assets like Gold, Bitcoin, and Apple Inc. stock. Open, close, low, and high data of assets, obtained from Yahoo Finance are taken into account while training the model. The proposed model can estimate the stock market's movement accurately for the next 30 days.

Published by: Yathisha T. S., Nirmal Jain C. M., Mithun T. P.

Author: Yathisha T. S.

Paper ID: V7I4-1335

Paper Status: published

Published: July 18, 2021

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Research Paper

Design and analysis of water jacket in the inline six-cylinder engine

A water jacket is a structure that allows water to pass through a cylinder block in a water-cooled internal combustion engine. Also designed and evaluated is a model with fins like projections around the cylinder outer wall that are in contact with the cooling fluid. This research compares the cooling pattern and flow properties of the three types (original water jacket, water jacket with ribs, and water jacket with fins)

Published by: Anand S. M., Sreeganesh S.V., Akash Prakash, Aswin V. S., Dr. Vishnu B. R.

Author: Anand S. M.

Paper ID: V7I4-1418

Paper Status: published

Published: July 18, 2021

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Research Paper

Design and analysis of helicopter rotor

A helicopter's blades are lengthy and are restricted by a secondary perspective proportion. Starting at the tip of the vertices, the blade shapes are such that they reduce drag. They maintain a level of messiness that reduces the lift provided at the corners, where the wind current is fastest and vortex era is greatest. The rotor's huge blades would commit to a variety of materials, including aluminum, composites, and steel. The rotor blades would link to the helicopter rotor center, which is powered toward the engine. In this project, CATIA is used to create a three-dimensional model of a helicopter rotor with 2, 3, and 4 blades. Analyzing data in ANSYS allows for a near-accurate result to be obtained in less time while avoiding the possibility of errors for future advancement.

Published by: Gokulchith S. S., Aromal V. C., Akhil Rajasekharan Nair, Angush S. T., Manu Mohan

Author: Gokulchith S. S.

Paper ID: V7I4-1419

Paper Status: published

Published: July 18, 2021

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