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Research Paper

Reproductive health among the Lodha Tribe in Mayurbhanj District, Odisha

Lodha is an important tribe of the Mayurbhanj district. Lodha tribes are dependent upon the forest for a living. Their livelihood and without any alternatives they took to criminal ways of life and were subsequently branded a criminal tribe. The aim to take this topic to contribute to the improvement of maternal and reproductive health by involving men in health care decisions. To strengthen the institutional and human resource capacities of key factors including local governments, health centers, communities, and men and women involved in reproductive health, focussed on improving reproductive and maternal health. To contribute to the improvement of access to quality maternal and reproductive health services in rural areas by involving men as the main advocates for reproductive health. They are not allowed to mingle with others during their periods. Their personal hygiene during the menstrual period is poor. They use cloth for protection during this period and do not have access to pad. Body washing during proper intervals or changing their dress are not seen among these women. The main reasons behind this are the lack of knowledge about the diseases that occur due to unsanitary conditions, lower socioeconomic status, and the inaccessibility to sanitary pads. This report examined women’s health in Lodha and the factors that contribute to women’s health and well-being.

Published by: Adyasha Mohanty, Dr. Madhusmita Sahoo

Author: Adyasha Mohanty

Paper ID: V6I3-1346

Paper Status: published

Published: May 29, 2020

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Research Paper

Smart Headlight System

Artificial Intelligence has revolutionized the world making the lives of people simple and better than anytime before. Gadgets that we use in day-to-day life have become smart. One such field that has seen a tremendous change-over due to the introduction of artificial intelligence in the automotive field. Autonomous cars will form a major part of mobility in the future. The automotive headlights are a support system for the cameras mounted in the autonomous car, making the captured frames visually better so that the car can steer through properly. Though it is helpful for the autonomous steering system it has some demerits like glaring which is a major cause for accidents during night times. This journal will discuss a smart way of avoiding the glaring effect in the headlights making the roads safer.

Published by: Sheshadri R.

Author: Sheshadri R.

Paper ID: V6I3-1349

Paper Status: published

Published: May 29, 2020

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Research Paper

Crash analysis on a conventional type Chassis

The phenomenon of a vehicle crash is a nonlinear transient dynamics phenomenon. This report presents, crash analysis of a conventional type chassis structure design of 252kg was performed by using FEM. During a chassis crash lot of the members will have a plastic deformation and would absorb a lot of energy, thus crash test analysis plays an important role in testing the vehicle's safety. As the chassis is the Backbone of the Vehicle it should be able to withstand static and dynamic loads without many mechanical distortions. Crash analysis simulation used to determine better methods to design a chassis and also reduces the need for costly physical destructive testing programs. The Chassis has been designed in Solid works 2017 and the analysis has been done with the help of analysis software Ansys.

Published by: Arko Banerjee

Author: Arko Banerjee

Paper ID: V6I3-1362

Paper Status: published

Published: May 29, 2020

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Research Paper

Application of savior to save from emergency situations

As we Indians always respect women and children from the past . Nowadays providing security to them is the most important thing. As we concentrated on this situation we hereby came up with the idea of reducing these activities. An application that we have developed helps to save from Emergency Situations. In an emergency situation user can able to register their complaint about help to rescue the team to rescue them from that situation. It helps the team to take necessary action depending upon the situation. By creating the necessary awareness we can create a good society for the future. This small step towards reducing activities can able to make the society free from illegal activities. The Application which we are coming up uses the location-based searching technique.

Published by: Vidyasagar Reddy, Kiran Mudaraddi, Soundarya K., Manasa K., Yerur Prema

Author: Vidyasagar Reddy

Paper ID: V6I3-1360

Paper Status: published

Published: May 29, 2020

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Review Paper

Gall insects: Introduction and mechanism of Gall induction

The modification of plant structures through hypertrophy and/or hyperplasia leads to the development of galls that can be induced by various biotic agents such as viruses, bacteria, fungi, algae, nematodes, rotifers, copepods, and insects. Galls provide better utilization of underutilized niche, thus they have been reported to be helpful for insect survival and evolutionary processes. Around 13,000 species of gall-inducing insects are known worldwide, representing about 2% of the total number of insect species. These insect- gall inducers belong to different families of Hemiptera, Thysanoptera, Coleoptera, Hymenoptera, Diptera, and Lepidoptera. Even though, their wider distribution throughout the world, they have not yet explored fully. The plant defense – insect offense interaction in the gall- host interaction depends on various factors such as the production of effectors, the release of phytohormones, indirect and direct plant defense mechanisms that need to be studied for better understanding. There is a need to decipher the mechanism of gall induction to manage the insects economically.

Published by: Ipsita Samal, Bhupen Kumar Sahu

Author: Ipsita Samal

Paper ID: V6I3-1341

Paper Status: published

Published: May 29, 2020

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Review Paper

Credit card fraud detection using random forest and isolation forest algorithms

The project is mainly focussed on credit card fraud detection in the real world. The phenomenal growth in the number of credit card transactions has recently led to a considerable rise in fraudulent activities. The purpose is to obtain goods without paying or to obtain unauthorized funds from an account. As the usage of credit cards is increasing more, the chances of credit card frauds are also increasing dramatically. The credit card system is most vulnerable to fraud. These credit card frauds cost financial companies and consumers a very huge amount of money annually, fraudsters always try to find new methods and tricks to commit these illegal and outlaw actions. Online transaction fraud detection is the most challenging issue for banks and financial companies. So it is essential for banks and financial companies to have efficient fraud detection systems to reduce their losses due to these credit card fraud transactions. Various approaches have been found by many researchers to date to detect these frauds and to reduce them. Comparison of Local Outlier Factor and Isolation Factor algorithms using python and their detailed experimental results are proposed in this paper. After the analysis of the dataset we got the accuracy of 99% by random forest and 76% by Isolation Forest.

Published by: Modekurthi Susmitha, Kamala Beena Mukiri, Muraharirao Harshita, Potnuru Rishita, M. Sion Kumari

Author: Modekurthi Susmitha

Paper ID: V6I3-1333

Paper Status: published

Published: May 29, 2020

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