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Research Paper

Synthesis and anti-inflammatory activity of some 2-(3’-aminesubstituted)-7- hydroxyl-4H-1-benzopyran-4-one derivatives

A series of 2-(3’-aminesubstituted)-7- hydroxyl-4H-1-benzopyran-4-one amine derivatives has been synthesized by condensation of 2,4-Dihydroxyacetophene (1.40 ml) and 3-Chlorobenzaldehyde (0.01 mole) through Claisen-Schmidt condensation reaction. Novel flavone derivatives were access for anti-inflammatory activity by using carrageenan induced rat paw edema method. Among the synthesized compounds (t, v, w, k) shows good anti-inflammatory activity comparable to reference drug (Celecoxib).

Published by: Awinash Chavan, Prafulla Sabale

Author: Awinash Chavan

Paper ID: V6I2-1258

Paper Status: published

Published: March 19, 2020

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Research Paper

Snake robot for metal detection

Robots have been and will always be a research topic. This paper illustrates the working of a Snake robot which is constructed by chaining together a number of independent segments which makes it hyper redundant. Snake robot can maneuver through thin spaces due to its shape and hence very helpful at places where human reachability is difficult. This robot moves by avoiding the obstacles in its path. In this project work, we have included a metal detection sensor in this robot so that it can be used in a variety of applications like landmine detection for military purposes. The communication to the robot is done via Bluetooth and operated from an android phone. With further innovations, the snake robot can be used in a large number of applications.

Published by: Sasanka Pavani Somarouthu, Siraparapu Renuka, Sasanapuri Sameera, Shaik Sharifa

Author: Sasanka Pavani Somarouthu

Paper ID: V6I2-1283

Paper Status: published

Published: March 19, 2020

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Research Paper

Advanced Medical Chatbot based on named data networking

The aim of a chatbot is to make human and machine interaction possible. In this scenario, the chatbot is a medical consultant between the patients and the doctors. For this purpose, there is a need of the Human-Computer Interaction(HCI) research which includes study and implementation intended for human use. So we design a system that uses Artificial Intelligence Markup Language(AIML) and Natural Language Processing (NLP). And for the purpose of communication needs, we use Name Data Networking(NDN) instead of the typical IP protocol. NDN provides two essential properties which are its Consumer Driven Nature in Communication and the privacy it provides. The motivation behind the idea is that much of the needed answers are available on the internet about the medication which the chatbot provides in a friendly manner and if there are serious issues provide consultations as well as appointments with the Doctor as early as possible.

Published by: Anup Lengure, Pratik Gaikwad, Ashutosh Chaudhari, Aditya Deshpande

Author: Anup Lengure

Paper ID: V6I2-1268

Paper Status: published

Published: March 19, 2020

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Research Paper

Estimation of chemical and sensory aspect of oats and dates chocolate

Cereal grains are more beneficial in our life. Whole grains as a part of a healthy diet have reduced the risk of some chronic diseases. Oats and Dates contain high amount of nutrients, fiber, vitamins, minerals and disease-fighting antioxidants. At present the food product are high in cost and not much as nutritive. So comparatively cereal grain product are easily available and low in cost and highly nutritive. One of the part of this product oats and dates are more beneficial for children. Dark chocolate contains magnesium, iron &powerful source of antioxidants and it maintains blood flow. These Oats and dates with chocolates are more effective and energetic for a child's growth and development.

Published by: Sarvesha Dendavey, Nikhil Deshmukh

Author: Sarvesha Dendavey

Paper ID: V6I2-1264

Paper Status: published

Published: March 19, 2020

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Research Paper

Fake news analyzer

Social media is a platform which acts as a chain for spreading of diversified news. Its cheap cost, fast access, and quick circulation and broadcasting of information help people to look out and consume news from social media. In today’s era, online social media plays a crucial role during real-world practical events, especially climacteric events or events that gain huge social attention from the population of the world. Apart from legitimate news information, malicious content, mean-spirited, vindictive and misleading information is also put online during these events, which can result in harm, chaos and monetary loss in the practical world. In our paper, we draw attention to the role of Twitter in analyzing a major ongoing event of India: NRC and the Citizenship Amendment Act in spreading fake content about these events. We elaborate on the gathering, elucidation, and validation process in detail and perform much exploratory analysis on the recognition of linguistic differences in fake and real or legitimate news content. Also, we aim to find out the source or origin of the fake news and the sources who help to spread the fake content. Secondly, we aim to perform a set of learning experiments to find out accurate fake news and their sources. Besides, we provide a relative analysis of the automatic and manual identification of fake news with the legitimate informants of the news content. This paper proposes a system that identifies unreliable and false news after analyzing and computing the set of data. This system aims to use various NLP algorithms and classification algorithms or techniques to help achieve maximum accuracy in finding the fake news.

Published by: Ruchika Mahajan, Sanskruti Godbole, Vedanti Manjule, Prasanna Lohe

Author: Ruchika Mahajan

Paper ID: V6I2-1259

Paper Status: published

Published: March 19, 2020

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Research Paper

Review of brain tumor classification by texture base optimize features

Generally, experts perform certain evaluation procedures over these medical images which leads to operational errors. These errors require huge amount of time for making evaluations. MR images are qualitatively and quantitatively analysed by experts as per their experience. But it is limited to human eye, which is restricted up to 8 bits of grey level. Edge detection has its own reputation in image processing. Region boundaries and edges are quite similar, there is an iterative alteration of intensity at the region boundaries. Edge detection techniques recognized the edges which are non-continuous. There is a requirement of closed region boundaries, to segment an object from an image. The expected edges are the boundaries which lie between objects. It means edge based detection supports image segmentation.

Published by: Shakeel Ahmad Mir, Sunil K. Panjeta

Author: Shakeel Ahmad Mir

Paper ID: V6I1-1301

Paper Status: published

Published: March 19, 2020

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