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Research Paper

Optimism at workplace

Optimism is a management strategy that gives tremendous energy to face any challenges. Optimism is a state of mind. Optimistic employees never succumb to any negativity, instead, they stay determined to reach their goals and enjoy the work. If you want to succeed in your career you have to overcome all the odds. This article focuses on workplace optimism, its challenges, and opportunities.

Published by: S. Ramesh, Annie Valsan

Author: S. Ramesh

Paper ID: V7I1-1273

Paper Status: published

Published: February 19, 2021

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Research Paper

Profanity detection in social media text using a hybrid approach of NLP and machine learning

Profanity is socially offensive language, which may also be called cursing, cussing, swearing, or expletives. Nowadays where everything is digitally managed, there are lots of online platforms and forums which people use. If we take an example of any social media platform like Twitter, their privacy policy suggests that users cannot share or write any obscene/vulgar language on a public platform. Several corporate and research organizations discuss how such content is found and controlled, such as computer vision research has developed to detect illegal practices in public spaces, NLP has progressed to detect profanity in social media texts. However, existing profanity detection systems still remain flawed because of various factors. In this paper, we define and analyze the system which will use NLP and Machine learning approach to solve this. It is usually framed as a supervised learning problem. Generic features such as Bag-Of-Words or embeddings systematically deliver fair success in classification. Lexical resources in combination with models such as Linear Support Vector Machine (SVM); feature modeling specific linguistic constructs making it more effective in classification.

Published by: Raktim Chatterjee, Sukanya Bhattacharya, Soumyajeet Kabi

Author: Raktim Chatterjee

Paper ID: V7I1-1269

Paper Status: published

Published: February 17, 2021

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Others

The changing trends in corporate culture

The pandemic continues to dominate global economic sentiments as the coronavirus also known as COVID-19 continues to spread globally. The Business Insider Intelligence and several eMarketer’s are continuing to work in order to analyze the impact of the virus on businesses across the world. Through this article, readers can have a better understanding of the current situation of businesses and their recent operation trends like remote working, employee motivation, and consumer behavior. The article further proceeds by evaluating the case study of few companies with a high growth perspective and profitability index. And seeks the relevance through checking the feasibility of business models and planning policies for the next consecutive quarters to combat the situation.

Published by: Aryan Dogra

Author: Aryan Dogra

Paper ID: V7I1-1262

Paper Status: published

Published: February 16, 2021

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Review Paper

Smart traffic manager: Computer vision and deep learning-based approach

In the last couple of decades, the number of vehicles has been on the road increased drastically. Hence it has become very difficult to keep track of every vehicle for traffic management and law enforcement. With the increasing number of vehicles on roads, it is getting difficult to manually enforce laws and traffic rules for smooth traffic flow. Traffic Management systems are installed on traffic signals to check for vehicles breaking the traffic rules. To automate all these processes a system is required to easily identify a vehicle. The main aim to design this system is to reduce the mishaps which occur due to reckless driving and violations of the traffic rules. The important question here is how to identify a particular vehicle, The obvious answer to this question is by using the vehicle’s registered license plate as every vehicle has a unique number through which it is easily differentiated from all the other vehicles. Vehicles in each country have a unique license number, which is written on their registered number plate. This number distinguishes one vehicle from the other, which is useful especially when both are of the same make and model. So, the basic idea will be identifying whether the two-wheeler rider is wearing a helmet or not, over speeding vehicles, zebra crossing violators, etc. Most of the tasks in this will require machine learning/deep learning models for image processing tasks. In the end, this system would be very effective to automate the hectic task of the traffic police and can be very efficient in terms to reduce the workload and manage the different tasks autonomously.

Published by: Sahil Shaikh, Swapnil Patil, Niranjan Patil, Purushottam Kulkarni, J. K. Kamble

Author: Sahil Shaikh

Paper ID: V7I1-1236

Paper Status: published

Published: February 15, 2021

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Research Paper

Studies on the compatibility of Ordinary Portland Cement with Polycarboxylate Superplasticisers

The addition of superplasticisers along with mineral admixtures like fly ash and slag in concrete improves the strength and workability of concrete at lesser water cement ratios. To get this benefit, the compatibility between cement and admixtures must be studied. SP’s are normally adsorbed on the cement particles and sometimes the adsorption will not be even and slightly unreliable. This is due to the clinker composition of cement and the type of SP’s used. Various combinations of materials including mineral admixtures affect the behaviour of the cement–based system and become incompatible like slump loss, delayed setting of concrete etc. In the present work, four brands of Ordinary Portland Cements are selected and is checked for its compatibility with 4 types of PCE superplasticisers available in the market using Marsh cone test. The results of these tests conducted on the cement paste is analyzed to find out the optimum dosage of superplasticiser for all the four brands. Chemical analysis and XRD analysis is done for the 4 types of cements to study the behaviour. The work concludes that the presence of MgO in ordinary portland cement affects the cement superplasticiser compatibility to greater extent.

Published by: Lelin Das, Asis Kumar K., Dinesh Kumar T.

Author: Lelin Das

Paper ID: V7I1-1207

Paper Status: published

Published: February 15, 2021

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Research Paper

Driver assistance system based on traffic sign recognition

Programmed discovery and acknowledgment of traffic signs assume a pivotal function in the administration of the traffic-sign stock. It gives an exact and opportune approach to oversee traffic-sign stock with insignificant human exertion. In the Computer Vision network, the acknowledgment and recognition of traffic signs is a well-informed issue. A larger part of existing methodologies performs well on traffic signs required for cutting edge drivers assistance and self-ruling frameworks. In any case, this speaks to a generally modest number of all traffic signs (around 50 classes out of a few hundred) and execution on the excess set of traffic signs, which are needed to take out the manual work in rush hour gridlock sign stock administration, stays an open question. In this paper, we address the issue of perceiving constantly a colossal number of traffic-sign arrangements sensible for automating traffic-sign stock organization. We receive a convolutional neural organization (CNN) approach, the Mask R-CNN, to address the full pipeline of discovery and acknowledgment with programmed start to finish learning. We propose a few upgrades that are assessed on the discovery of traffic signs and result in an improved generally speaking execution. This methodology is applied to the discovery of 200 traffic-sign classifications spoke to in our novel dataset. Results are accounted for on exceptionally testing traffic sign classifications that have not yet been considered in past works. We give a far-reaching investigation of the profound learning technique for the location of traffic signs with huge intra-class appearance variety and show beneath 3% mistake rates with the proposed approach, which is adequate for arrangement in useful uses of traffic-sign stock administration.

Published by: Prajakta Udaram Lanje, Srishti Sunil Bankar, Siddhant Vinay Nikumbh, Pallavi Dhananjay Dadape

Author: Prajakta Udaram Lanje

Paper ID: V7I1-1261

Paper Status: published

Published: February 15, 2021

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