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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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Research Paper

Simulation of concrete truck mixer transport operation by using Anylogic software

The studies targets to decrease the time price of concrete mixer vans via way of means of improving the manner of loading unloading the concrete via way of means of the use of Anylogic computational simulation. The paper affords the technique of Anylogic simulation version of concrete blend transportation manner additionally thinking about traits via way of means of ready time for loading and unloading, journey time, distance among rmc plant to production sites, varieties of truckmixer and quantity of trucks. It is in particular targeted on a way to concurrently optimize concrete shipping scheduling. Scheduling of truckmixer without delay influences the operation time and cost. This studies targets to triumph over the problems comes throughout the rmc operation the use of destiny prediction simulation version and allocate the quantity of trucks efficaciously and efficiently.

Published by: Arpit Latad, Pravin chaudhari

Author: Arpit Latad

Paper ID: V7I4-1423

Paper Status: published

Published: July 18, 2021

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Research Paper

Automatic Drain Water Cleaner System

The proposed concept is to exchange the manual add gutter cleaning by Automated Drain Water cleaner system. Now-a-days albeit mechanical drainage plays an important role altogether domestic and industrial applications within the proper disposal of sewages from domestic, industries and commercials are still a challenging task. Drainage pipes are using for the disposal and unfortunately sometimes there could even be loss of human life while cleaning the blockages within the system . The Automated Drain Water Cleaning system may be a machine which helps to guard the environment from different sorts of environmental hazards through the promotion waste management by the removal of garbage from the drainage system. These wastes when not removed end up settling in residential places where these wastes are burnt thereby causing global climate change otherwise these wastes block the drainage systems thereby causing flooding. In this project the proposal concept is to exchange the manual add drainage cleaning by automated system. We know that water features a superb importance face to face life, the water flow in drain full of wastes like polythene, bottles etc. The gutters get blocked because of these wastes in water. To overcome this problem and many |to avoid wasting “to save lots of lots of human life we implement a design “Automated Gutter Cleaning system” which we've designed our project to use this in efficient thanks to control the disposal of wastages and with regular

Published by: Kaushik Shet, ASHISH KALEKAR, Amol Yadav, Aniket Bhade, Krushna Ghadale

Author: Kaushik Shet

Paper ID: V7I4-1415

Paper Status: published

Published: July 18, 2021

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Research Paper

An efficient quality-driven of face occlusion detection and recognition

This paper affords a identify and discover human faces in a photograph irrespective of their position, scale, in-aircraft rotation, orientation, pose, illumination, etc. To efficaciously become aware of the individual through surprising the history and different noises withinside the photograph. It has to be easy and powerful for the customers and become aware of faces which might be covered with a scarf, mask, shades, etc, This is one of the vital components that influences the overall performance of face reputation. Many algorithms and technology are proposed to clear up the occluded face reputation wherein we use a haar cascade set of rules that is the simplest one. Initially, this set of rules wishes loads of nice pix(pix of faces) and terrible pix(pix without faces) to teach the classifier then we should extract features from it. Facial detection is prompted through the readability of the photograph, colored or black and white pix. It can simplest help frontal detection of pix and the education does take loads of time with a purpose to separate a terrible face from a nice face.

Published by: Shashidhar V., Harshitha B. S., Kavya K., Kaveri K., Rashmi J. B.

Author: Shashidhar V.

Paper ID: V7I4-1392

Paper Status: published

Published: July 18, 2021

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