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Technical Notes

Homeopathic Treatment Protocol for Asthma

The protocol involves following criteria: 1. Remodeling the respiratory passage by inhibiting transforming growth factor β1/Smad signal pathway. 2. Relaxing the respiratory smooth muscles. 3. Reducing the oxidative stress marker reactive oxygen species. 4. Activating Nuclear Factor E2-Related Factor 2. 5. Managing the steps of Arachidonic Acid Metabolism Pathway. 6. Managing the Imbalance of T-helper-1 & T-helper-2 cytokines. 7. Decreasing the ratio of GATA binding protein-3 / transcription factor T-box expressed in T-cells expression levels. 8. Inhibition of Signal transducer and activator of transcription 6 expression. 9. Regulating & inhibiting the activation of Mitogen-activated protein kinase and Nuclear factor-κappa-B signaling pathways. 10. Increasing the regulatory-T cells and enhancing Transcription Factor Fork-Head Box P3 mRNA expression. 11. Inhibiting the mast cell de-granulation. 12. Inhibiting the functional differentiation of pulmonary immature DC to mature DC. 13. Reducing the dependence on Corticosteroids. 14. Improvement in symptom syndrome of Asthma. 15. Reducing the levels of Interleukin-4, and that of Interferon-γ and PEFR.

Published by: Dr. Neal Ratan Agarwala

Author: Dr. Neal Ratan Agarwala

Paper ID: V7I2-1137

Paper Status: published

Published: March 8, 2021

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Research Paper

Stock price prediction using sentiment analysis of business domains and company-related news data

The stock price of a company is volatile in nature but when considering long-term prediction of the stock price, it is dependent on the company's business model and feasibility of the environment for the company to work. This data related to company and domains in which the company works is available on the internet through news media but it is an arduous task for one to keep track of all this data and perform predictions on stock prices. The proposed model in this paper takes sentiment from this available data and provides a prediction of the stock price in the future with the deliberation of the market environment.

Published by: Aditya Kadam, Akshay Hake, Pravin Salunkhe, Piyush Agrawal

Author: Aditya Kadam

Paper ID: V7I1-1242

Paper Status: published

Published: March 5, 2021

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Research Paper

A study of Vendor management at events with special reference to Goa

This record gives records approximately the internship venture of the organization takes a look at. The file consists of statistics approximately the Event Management Industry all through the World, Event Management Industry in India and the organization profile This look at is executed primarily based totally on the goals as mentioned:- The occasion control enterprise with inside the global together with occasion control enterprise in India. The running of the enterprise who all of the leaders with inside the marketplace and what all are the tendencies withinside the marketplace. Event control is the software of task control to the advent and improvement of large-scale occasions such as festivals, conferences, ceremonies, weddings, formal parties, concerts, or conventions. It includes reading the brand, figuring out its goal audience, devising the occasion concept, and coordinating the technical elements earlier than really launching the occasion. The manner of making plans and coordinating the occasion is normally cited as occasion making plans and which could encompass budgeting, scheduling, web page selection, obtaining necessary permits, coordinating transportation and parking, arranging for audio system or entertainers, arranging decor, occasion security, catering, coordinating with 0.33 birthday celebration vendors, and emergency plans. Each occasion is exclusive in its nature so the method of making plans & execution of every occasion differs on the foundation of kind of occasion.

Published by: Dinesh Kolekar

Author: Dinesh Kolekar

Paper ID: V7I1-1290

Paper Status: published

Published: March 1, 2021

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Research Paper

A study of the implementation of e-procurement in construction material traders with special reference to South Bangalore

The purpose of the study was to explore the establishment of an e-procurement system in selected organizations in Bangalore. This was guided by certain objectives: What lessons can be learned from e-procurement implementation in the construction industry, what is the Importance of this study, the challenges, and benefits encountered when using an e-market provider for the construction industry and operations runs in the same field. To satisfy the research objective, the study population was made up of several vendors who provide the construction work material and targeted 100 vendors to collect the required data. Primary data was collected using structured questionnaires. Respondents from the organizations were purposively sampled which targeted the e-procurement project, procurement staff, and Accountant staff who working in the procurement department; and are still working in the above-mentioned organization. The study revealed that a number of reasons affected the implementation of an e-procurement system ranging from the individual level. The benefits will be enormous to those organizations that implement e-procurement fully.

Published by: Sumit Patil

Author: Sumit Patil

Paper ID: V7I1-1289

Paper Status: published

Published: March 1, 2021

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Research Paper

Automated leaf disease prediction and suggested remedies using Convolutional Neural Network (CNN) algorithm

The proposed system uses in identification of plant disease and provides remedies which will be used as a defence reaction against the disease. The data obtained from the Internet is correctly segregated and therefore the totally different plant species are identified and are renamed to form a proper database then obtain a test-database that consists of varied plant diseases that are used for checking the accuracy and confidence level of the project. By using training data we will train our image classifier and then output will be predicted with more accuracy. We use Convolution Neural Network(CNN) which comprises different layers which are used for prediction. A image drone model is additionally designed which might be used for live coverage of huge agricultural fields so that a high-resolution camera is connected and can capture images of the plants which will act as input for the software, based on which the software will tell us whether the plant is healthy or not. With our code and training model we have achieved an accuracy level of 78% .Our software gives us the name of the plant species with its confidence level and also the remedy that can be taken as a cure. Deep learning has become prominent with big data technologies and high-performance computing to create new opportunities for data-intensive science. In this paper, we tend to give a comprehensive review of analysis applications of deep learning in agricultural systems. The prediction and diagnosis in this project demonstrate how agriculture will benefit from deep learning technologies. The deep learning techniques used for farm management systems are entering into real-time artificial intelligence.

Published by: S. Ashwin kumar, Dr. S. Rajagopal

Author: S. Ashwin kumar

Paper ID: V7I1-1288

Paper Status: published

Published: February 27, 2021

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Review Paper

IoT based traffic and street light control management for smart cities

All metropolis cities suffer from traffic obstruction issues, particularly within the central downtown. traditional cities will be remodeled into good cities by exploiting data and communication technologies. The signal temporal arrangement changes with the density of the traffic and delay are given the assistance of a microcontroller. The web of Things (IoT) will play an important role in the accomplishment of good cities. The aim of this project is to style a density-based stoplight system interfaced with a barrier gate. This project proposes a microcontroller for temporal arrangement modification of the signal and buzzer action. before the barrier gate, a stop line is created and with the assistance of another IR device, the vehicle is caterpillar-tracked whenever it approaches the stop line If the vehicle crosses the stop line the hint is given to the close room. Node MCU microcontroller is employed for signal temporal arrangement modification supported the density of traffic.

Published by: Monika J. Raut, Vrushali D. Jaywar, Sonali Bhoyar, Ashwini kumbhare

Author: Monika J. Raut

Paper ID: V7I1-1167

Paper Status: published

Published: February 27, 2021

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