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Review Paper

Gender bias at workplace and the remedial measures

Despite the substantial rise in the number of women joining the workforce, gender parity continues to suffer, especially at higher positions. In India, 85% of working women claim to have missed out on a promotion or hike because of their gender. About two-thirds of working women (63%) and working mothers (69%) say they faced discrimination at work due to familial and household responsibilities. It is the need of the hour for organizations to reimagine their diversity practices and offer greater flexibility to caregivers, to increase female participation in the workforce. Reduced and flexible schedules, more sabbaticals, and new opportunities to upskill and learn are critical offerings that can help organizations attract, hire, and retain more female talent. Gender bias is the tendency to prefer one gender over another. It is a form of unconscious bias, or implicit bias, which occurs when one individual unconsciously attributes certain attitudes and stereotypes to another person or group of people.

Published by: Arshyaa Suhag

Author: Arshyaa Suhag

Paper ID: V7I3-1228

Paper Status: published

Published: May 8, 2021

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Research Paper

Static and thermo-mechanical analysis of brake disc and pad using finite element analysis

In the automobile, the braking system is a very important part. The brake pad plays important role in braking. Previously Asbestos is used as a brake pad, but asbestos is not good for the environment and human health. So, the use of Asbestos is prohibited. Currently, a lot of research is going on to find out a brake pad material that will replace Asbestos. Some materials selected for the brake pad are Carbon Fibre, Sic, ZrO2, S2 Glass fiber. Out of this material, Carbon Fibre is a material used for Brake pads. The static and thermomechanical analysis is performed in ANSYS Workbench. For this analysis, Carbon fiber is used for the brake pad and the Aluminium alloy is used brake disc. In static analysis, the deformation and stresses are found out and in thermomechanical analysis, Thermal effects are added to find out the deformation and stresses. It found that after the addition of thermal effects, the deformation and stresses are increased considerably. But both stresses and deformation values are within the failure limit

Published by: Akshay Pacharne, Pramod Kathamore

Author: Akshay Pacharne

Paper ID: V7I3-1219

Paper Status: published

Published: May 8, 2021

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Research Paper

Traffic prediction for intelligent transportation system using machine learning

Traffic is the most major issue in an urban area. The most problem comes because of traffic in all developed cities, So people suffer a lot of time in the road traffic. This time is totally a waste for me personally and for society. In most urbanized areas space is a scarce commodity. Therefore, better management of the existing roads to increase or maintain their capacity level is the only solution. So this project is to develop a tool for predicting accurate and also predict time to help the community. Because of accidents, traffic signals, even repairing the roads these problems are causing traffic. If we get information which is near about all above and many more daily life situations which can affect traffic jam then deriver take the decision on the basis of the situation to move or take other decision. In the current situation, traffic data have been generating exponentially. The already some available prediction methods for traffic flow but those are unsatisfactory to handle real-world application. In this project, we proposed to use a machine-learning algorithm to analyze the traffic with better performance

Published by: Dhanashree Dnyaneshwar Raut, Susmita Salvi, Ankita Gupta, Pranali Patil

Author: Dhanashree Dnyaneshwar Raut

Paper ID: V7I3-1190

Paper Status: published

Published: May 8, 2021

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Research Paper

Measures of lexical diversity

The “natural” and the “formal” acquisition of a language by a child are best seen as two ends of a continuum. The acquisition of languages involves a combination of formal instruction and natural acquisition. This paper captures an overview of select prominent tools used for measuring vocabulary diversity across first and second language contexts. The tools include type-token ratios (TTR) and the more recent automated measure of VOCD.

Published by: Vijaya

Author: Vijaya

Paper ID: V7I3-1222

Paper Status: published

Published: May 7, 2021

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Research Paper

Optimization of bio-composite helmet

The primary aim of our project is to increase the safety of helmet users and also to reduce the usage of plastic. This led us to the idea of BIO-COMPOSITE HELMET. Generally, bio-composite materials are synthesized using natural fibers as reinforcements together with matrix due to their low density with high specific mechanical strength, availability, renewability, degradability. The present work attempts to make an improvement in the existing helmet manufacturing process. The materials that are used have better mechanical properties in order to enhance the compatibility between fibers and the matrix. The biocomposites are prepared using unsaturated polyester matrix and fibers such as coconut coir and areca using hand lay-up method with appropriate proportions to result in helmet shell structure. The fabricated helmets will be evaluated for their mechanical properties such as hardness, impact strength, and compression strength. Thus, we constructed bio-composite helmets that have highly strong and environmentally friendly.

Published by: Sabari Srinivas S., Gokulkrishna R., Hari Prasanth R.

Author: Sabari Srinivas S.

Paper ID: V7I3-1209

Paper Status: published

Published: May 7, 2021

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Research Paper

Task scheduling in the cloud computing using an improved cuckoo search algorithm

Cloud computing is an advanced internet resources network that is used by many users remotely. The resources include software, hardware, and various applications. The main challenge in cloud computing is task scheduling due to numerous requests are generated simultaneously from remote locations. To overcome this challenge, task scheduling algorithms are designed that appropriately arrange the tasks. In the literature, metaheuristic algorithms have been deployed for optimal task scheduling. The most popular algorithms are genetic algorithm, particle swarm, and cuckoo search algorithm. However, if the initial population of these algorithms is properly not defined then it is easily trapped into the local optimal solution and causes low precision. In this paper, we have overcome this issue and designed an improved cuckoo search algorithm. In the proposed method, the initial population is defined using the chaotic map algorithm and after cuckoo search algorithm is applied to determine optimal task scheduling. The experimental results show that the proposed method is superior in terms of convergence rate, makespan, average waiting time, and average turnaround time as compared to the existing algorithm.

Published by: Parminder Kaur, Sarabjeet Kaur

Author: Parminder Kaur

Paper ID: V7I3-1208

Paper Status: published

Published: May 7, 2021

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