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Lantana camara: Conversion from soil destructor to constructive approach with green nanoparticles

Lantana camara is considered to be a voracious and poisonous weed, as it spreads rapidly and chocks the native vegetation, spoils animal habitats, biodiversity, leads to shortage of fodder for herbivores, and exerts toxic effects when ingested by livestock, hence L. camara is regularly eradicated by the villagers.The present study was carried out to assses the Hazardous effect of Lantana camara on soil microflora. It is clear from results that Lantana camara possess adverse effect on soil microflora & thereby decreases fertility of nearby soil. The bare land development is final cause of growth of Lantana camara plant on waste / agriculture land . As we know presence of microbial population and their activity in soil is directly proportional to the fertility of soil. In cities & villages Lantana camara is growing in uncontrolled way on waste land and so that it also affect agriculture land via seed migration , resultate into the decrease in soil fertility of agriculture land. On the basis of our study we can suggest that Lantana camara plant growth should be controlled in village,cities & in agriculture land. However, present study advocates its uses by pharmaceutical industries for preparing plant-based antimicrobials drugs in addition to fungal nanoparticles, rather than to throw the eradicated plants as garbage.

Published by: Anmol Sidana, Mamta Gokhale

Author: Anmol Sidana

Paper ID: V7I4-1479

Paper Status: published

Published: July 23, 2021

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Research Paper

Car resale value prediction

India is one of the biggest automobile markets. All over the globe every day many buyers tend to sell their cars after using them for few years. cars24.com, cardekho.com, and OLX.com provide buyers and sellers with an online platform where they can sell and buy used cars. But what should be the price of the car, this is the biggest question ever. Machine Learning algorithms can provide a solution to this problem. Using the history of previously used cars selling data and machine learning techniques such as Supervised Learning we can predict the price of the car. Here the machine learning algorithms such as Random Forest and Extra Tree Regression are used to predict the selling price of the used cars. The result has shown that both algorithms are highly accurate in prediction even the dataset is large or small, irrespective of the size of the dataset they give a precise result.

Published by: Navaneeth M., I. S. Manoj Kumar, Dharshan N., Gavini Hitesh, H. K. Vedamurthy

Author: Navaneeth M.

Paper ID: V7I4-1492

Paper Status: published

Published: July 23, 2021

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Technical Notes

Discovery of Acoustify

Acoustify app is an app that is used to achieve this objective. With the Acoustify app, we can extract the streaming URLs embedded in a particular website using the URL of that website. By this, we can get the audio streamable URLs from that website, which can be processed further for enhancement of the user’s listening experience.

Published by: Babitha Shetty K., Dr. Surendra Shetty

Author: Babitha Shetty K.

Paper ID: V7I4-1177

Paper Status: published

Published: July 23, 2021

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Research Paper

Evolution of research collaboration in Indian automobile industry– A Scientometric Analysis with Reference to SIAT during 2001 to 2017

The objective of this research paper on research productivity in the Indian Automotive Industry is to present the transformation of the research community of the Indian automotive Industry in a progressively responsible way, with reference to SIAT conferences held so far. It reveals the dynamic nature of automotive research in the country. The exhibit's research outcome is dominated by specific domains and specific organizations in a dynamic way. It is also elaborating the countries and scientists preferred to collaborate with and their impact on the Indian automotive Industry.

Published by: Joshi Ashutosh Gopal, S. Santhosh, E. Priyan

Author: Joshi Ashutosh Gopal

Paper ID: V7I4-1496

Paper Status: published

Published: July 23, 2021

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Research Paper

AI-based hexapod military robot

Hexapod walking robots have attracted considerable attention for several decades. However, only in the recent past efficient walking machines have been conceived, designed, and build with performances that can be suitable for practical applications. Nowadays many expenses are made in the field defense on adopting primitive security measures to protect the border from trespassers. Some military organizations take the help of robots in risk-prone areas which are not that effective when done by army men. These robots are confined with the camera, sensors, metal detectors, and video screen. The main objective of our system is to get automated gun targeting including some additional parameters like a Wi-Fi module for real-time data processing by the camera at the video screen and IR sensor to trace intruders. Thus, the proposed system using Wi-Fi reduces errors at defense and keeps the nation secure from the foe.

Published by: Srividya C. R., Shreya Adiga H., Vaishnavi J. M., Harshitha H. R., Dipak Cumar V. C.

Author: Srividya C. R.

Paper ID: V7I4-1481

Paper Status: published

Published: July 22, 2021

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Research Paper

Application of AI in drug discovery

Target-driven drug discovery is a process in which a known target is used to search for small molecules that interfere with it or influence its role in cells. These methods function well for easily druggable targets with a well-defined structure and well-understood interactions within the cell. However, due to the complexity of cellular interactions and a lack of understanding of intricate cellular pathways, these methods are severely limited. By detecting novel associations and inferring the functional significance of various components of a cellular pathway, AI will conquer these obstacles. It extracts useful knowledge from a broad dataset using complex algorithms and machine learning techniques. QSAR modeling based on structure, de-novo drug design, automated synthesis planning is just a few of the cutting-edge applications available. Screening of the compounds along with optimizing the lead compound, goal validation and selection, nonclinical research and studies, and clinical drug trials are all places where AI is used extensively.

Published by: Mohit Singh Negi, Anosh Singh

Author: Mohit Singh Negi

Paper ID: V7I4-1472

Paper Status: published

Published: July 22, 2021

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