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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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Research Paper

Clustering of JSON document using Derived X-Path Method

In this modern era where data creation is in abundance, handling that data is the biggest question researchers have been trying to solve for the past couple of decades. The data in any form needs to be stored in such a way that the retrieval and manipulation of the data are easier and simpler. In this paper, we look at how huge datasets in JSON format are being analyzed and made into clusters for an easier understanding of the documents that we are handling. This process is done by the first pattern analyzing the documents followed by clustering those documents one by one based on similarity of the attributes (arrays and sub-documents included). The clusters are then evaluated on an algorithm designed specifically for this purpose. To conclude, this paper lays out the model on how to cluster huge JSON documents with varying levels and types.

Published by: Kaushik I.

Author: Kaushik I.

Paper ID: V7I4-1473

Paper Status: published

Published: July 22, 2021

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Research Paper

Importance of Feature Selection in Model Accuracy

As a dimensionality reduction strategy, feature selection attempts to select small set of most important features from primary features by eliminating obsolete, data-redundant and non-relevant noisy features. This process of choosing a set of the original variables such that a model based on data containing only these features has the simplest output is known as feature selection. Feature Selection eliminates over-fitting, increases model efficiency by removing redundant functions, and has the added benefit of maintaining the primary feature representation, resulting in improved accuracy. Good learning efficiency, results into higher machine learning model accuracy, lower cost of computation, and efficient model accuracy, is typically the product of feature selection. Recently, researchers in the area of computer vision, deep Learning, data mining, and other fields have shown that several feature selection algorithms resulted in the efficiency in their work through computational theory and research. This paper aims to examine the importance of feature selection in model accuracy. Feature selection is critical for various reasons, which include simplicity, performance, computational efficiency, and accuracy. It is often used in both supervised and unsupervised learning scenarios. These strategies can help boosting the productivity of various machine learning algorithms, as well as coaching. Feature selection decreases learning time and increases data consistency and comprehension.

Published by: Pranjal Rawat, Nitin, Sameer Dev Sharma

Author: Pranjal Rawat

Paper ID: V7I4-1470

Paper Status: published

Published: July 22, 2021

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