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Solar panel embedded window blinds integrated with battery energy storage for home systems

India along with the world is facing an ‘Energy Crisis’. There is a significant gap in the demand and supply for electricity. In order to meet this situation, a number of options are being considered with a large focus on renewable energy research & development. Solar energy is the idle solution amongst the plethora of renewable energy sources available. Solar energy can be used to meet the demand for electricity with the help of photovoltaic systems. One of the major constituents of a photovoltaic system is the photovoltaic modules, also called solar panels, which help convert the energy obtained from sunlight into electricity. Photovoltaic System installations across the globe have accelerated dramatically in the past but at the same time are facing the challenges like land scarcity and solar irradiance. The proposed system focuses on increasing the number of solar panels installed to generate electricity within a building without modifying the existing resources. Apart from harvesting solar energy from the panels installed on the roofs, the same can also be done using windows and hence eliminating space scarcity. The proposed system consists of solar panels embedded on window blinds. The system aims to automatically track the sun’s position throughout the day. The position of the solar panels attached to the blinds is adjusted to optimal angles to generate electricity. The obtained energy is then stored in a battery and further converted to alternating current for various applications.

Published by: Shashank Shekhar, Brinda Bhowmick, Abhay Sahu, Ramamoorthy Kumar

Author: Shashank Shekhar

Paper ID: V7I3-1305

Paper Status: published

Published: May 15, 2021

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Research Paper

Deep Learning for engineering applications

In this paper, we formulate a new artificial intelligence based deep learning formulation to solve engineering applications in domains, heat transfer (2D,3D), strength of materials (2D,3D), design of machine elements, 3D component analysis, 3D assembly analysis, fluid dynamics (2D,3D), Kinematics/Vibrations/control (2D, 3D). Our deep learning based Distributed Artificial Neural Network (DANN) formulation showed six orders of magnitute speed up in computational time and needed an everyday use laptop, not necessiating high end super computer servers for engineering applications analysis. Further, the accuracy of the engineering solution showed 99.9% accuracy and comparable to the conventional existing engineering applications analysis results.

Published by: Vishal Nandigana, Ananyananda Dasari, Deepak Somasundaram, Arivoli Anbarasu

Author: Vishal Nandigana

Paper ID: V7I3-1286

Paper Status: published

Published: May 15, 2021

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Research Paper

Sustainable toilets by using lightweight precast concrete panels

The objective of this project is to designing and managing a self-sustaining toilet for implementation in rural areas of India, the toilet will be built out of low-cost and readily accessible materials and require little to no water, no electricity, and minimum maintenance cost and management. I work for reducing the total cost of the toilet and making the proper management of sensitization in the rural areas. Cast in-situ construction is time taking process as compared to precast concrete panel construction so precast concrete panels are very useful for time-saving and overall cost reduction of toilet construction.

Published by: Shinde Bhagyashri Vasant, N. V. Khadake

Author: Shinde Bhagyashri Vasant

Paper ID: V7I3-1311

Paper Status: published

Published: May 15, 2021

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Research Paper

Deep Learning for Turbulence Modeling

In this paper, we provide a new artificial intelligence based deep learning Distributed Artificial Neural Network (DANN) for turbulence modeling applications, including flow past triangle, laminar flow, flow past cylinder, turbulence dynamics modeling, and flow past a real 3D product, sedan car, of real product design geometry and dimensions. The results showed six orders of magnitute speed up in computational time and need an everyday use laptop, not necessiating high end super computer servers for turbulence dynamics simulations for 3D product design industry geometries. The accuracy of the DANN use showed 99.9% accuracy and comparable to the conventional existing engineering applications software results. The DANN use software is patented and industries approved and commercially available over https://aidesign.today for product design and analysis real world product industrial use. The software is AIDesign software.

Published by: Vishal Nandigana

Author: Vishal Nandigana

Paper ID: V7I3-1306

Paper Status: published

Published: May 15, 2021

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Research Paper

Observations on the Pell Equation x2=3(y2+y)+1

This paper concerns with the problem of obtaining non-zero distinct integer solutions to the positive pell equation represented by the binary quadratic equation x^2=3(y^2+y)+1. A few interesting relations among the solutions are presented. Further, by considering suitable linear combinations among the solutions of the considered hyperbola, the other choices of hyperbolas, parabolas, order Ramanujan numbers, sequence of diophantine 3-tuples with the suitable property are presented. A general formula for generating a sequence of integer solutions based on the given solution is illustrated.

Published by: M. A. Gopalan, A. Vijayasankar, Sharadha Kumar

Author: M. A. Gopalan

Paper ID: V7I3-1296

Paper Status: published

Published: May 15, 2021

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Research Paper

Customer relationship management: Existing challenges and software-based solutions

The world is growing faster than ever and to keep up with the times, businesses have to keep up with their ever-evolving clients. This is difficult when there are a multitude of technologies to choose from and none of them offer the precise control that is essential. The aim is to provide a level of convenience to businesses (small to large scale) to save time and have an integrated environment for purchase, inventory, and sale. Completely customizable without a technical background to match the required workflow.

Published by: Ruchir Harbhajanka, Shah Faisal, Dr. B. Kanisha

Author: Ruchir Harbhajanka

Paper ID: V7I3-1295

Paper Status: published

Published: May 15, 2021

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