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Research Paper

A critical analysis of wage inequalities in urban and rural sectors in India

we examine that there is an enormous gap among rural and urban areas regarding wage disparities in India. We study the time frame 1983-2005 utilizing family unit study information from progressive rounds of the National Sample Survey. We locate that this period has been described by a huge narrowing of the distinctions in schooling, occupation, dissemination, and wages between people in country India and their metropolitan partners. We locate that singular attributes don't seem to represent quite a bit of this union. Our outcomes recommend that approach mediations preferring country zones may have been key in initiating these time arrangement designs. The investigation likewise recommended a similarly a high gender wage gap in different classifications of exercises. It is astounding to locate that in India the compensation divergence exists essentially due to huge pay distinction inside the different classes of laborers. Further, the assessment of the wellsprings of pay contrast uncovers that gender wage gap is a part of the result of separation in compensation dispersion against women laborers. wage differentials are available among different gatherings and areas of the economy. The essential inspiration of this paper is to research the design of pay imbalance and work in India with the 60th cycle (2005-06) family unit review on business and joblessness directed by the National Sample Survey Office. The examination gauges completely various components of pay disparity as seen in the Indian work market by utilizing the Gini imbalance file. In breaking down the design of compensation imbalance it thinks about three significant areas, people in general, private formal and casual areas. Compensation disparity in the private conventional area is higher than the imbalance even in the casual area. Pay differentials in India are higher in rural areas when contrasted with metropolitan regions, and are higher among ladies than among men laborers.

Published by: Ronit Rohtagi, Manisha Raj

Author: Ronit Rohtagi

Paper ID: V7I3-1476

Paper Status: published

Published: May 26, 2021

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Research Paper

Pothole and object detection with respect to the speed of a vehicle using sensors in Arduino UNO board

Pothole detection is important while driving a car to reduce the number of accidents. This will also in turn prevent the vehicle from severe damage in terms of tire. In a densely populated country like India, it is also important to track whether any human being or any object is coming across a vehicle in high road and notifying its driver to reduce the speed and prevent road accidents. In order to detect the pothole and to track any human being or an object, the primary necessity is to have GPS for obtaining the location of the vehicle. This paper aims at proposing a pothole detection and object indicator system in a vehicle which will indicate the presence of potholes or any other object within a range of 20m.

Published by: Sayan Ghosh, Abhishek Singha, Sanchari Majumdar, Shweta Kumari, Subhrakanti Samanta, Sangita Roy

Author: Sayan Ghosh

Paper ID: V7I3-1470

Paper Status: published

Published: May 26, 2021

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Review Paper

Overview of fast dissolving tablets of Bisoprolol Fumarate and its patented products

Recently, fast-dissolving drug delivery systems have started gaining popularity and acceptance as one such example with increased consumer choice, for the reason of rapid disintegration or dissolution, self-administration even without water or chewing. Various formulations were prepared by direct compression method using different concentrations of crospovidone (2-8%) and croscarmellose sodium (2-8%) as super disintegrants. Formulations were evaluated for precompression parameters and post compressional parameters like uniformity of weight, thickness, hardness, friability, drug content, wetting time, the water absorption ratio, in vitro disintegration time, and in vitro dissolution study. These kinds of dosage forms are also convenient for children, elderly patients with swallowing difficulties, and in the absence of potable liquids. Zydis products are packed in blister packs to protect the formulation from moisture in the environment. Nano-crystal technology avoids manufacturing processes such as granulation, blending, and tableting, which is more advantageous for highly potent and hazardous drugs. Flash Tab Technology involves the preparation of a rapidly disintegrating tablet, which consists of an active ingredient in the form of microcrystals. Oraquick utilizes taste-masking microspheres technology called a micro mask, which provides superior mouth feel, significant mechanical strength, and quick disintegration/dissolution of product. Flash Dose Technology consists of a self-binding shear form matrix termed as "floss". Shearform matrices are prepared by flash heat processing.

Published by: Saroja S. Naubade, Kailash V. Vilegave, Suryakant Hanmantrao Gond, Pratibha M. Chandankar

Author: Saroja S. Naubade

Paper ID: V7I3-1460

Paper Status: published

Published: May 26, 2021

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Research Paper

Palm detection and tracking project

Hand gesture recognition is a technology that is becoming increasingly relevant, given the recent growth and popularity of Virtual and Augmented Reality technologies. It is one key aspect of HCI, allowing for two-way interaction in virtual spaces. However, many instances of such interaction are currently limited to specialized uses or more expensive devices such as the Kinect and the Oculus Rift. In this paper, we explore the methods for hand gesture recognition using a more common device – the laptop web camera. Specifically, we explore and test methods of segmenting the hand. We will also cover one method for hand gesture recognition.

Published by: Aman Khan, Nafisa Mapari, Ramiz Ur Rahman Khan, Ayaz Idrisi, Mohd Umar Khan

Author: Aman Khan

Paper ID: V7I3-1447

Paper Status: published

Published: May 26, 2021

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Review Paper

Mobile cloud computing – Literature review

The high-speed development and renaissance in mobile devices have produced a fast-growing market. The remarkable progress made within the mobile applications allows the users to accomplish most of their tasks such as shopping, social networking, information gathering, and business through their mobile devices. However, there are some limitations in the mobile environment, which reduce the utmost benefits of using mobile devices. These devices are not as powerful as personal computers and lack high-level computational storage capabilities. Therefore, mobile cloud computing has been introduced as a possible enhancement for mobile services. Cloud computing is integrated into the mobile environment in order to beat the restrictions of mobile devices. In the paper, we describe the privacy and security issues faced by the Mobile Cloud Computing (MCC) technology. The issue faced in integrating green computing technology is discussed in this research paper.

Published by: Jai Mehta, Vishant Mehta, Onkar Sanap, Rachit Mehta, Viraj Joshi

Author: Jai Mehta

Paper ID: V7I3-1269

Paper Status: published

Published: May 26, 2021

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Research Paper

Opinion Mining for restaurant reviews using Naive Bayes Algorithm

A wealth of unstructured opinion data exists online. Every day, millions of consumers add to this data when they share their opinion on a range of things, including feedback about their experiences with products and services. This feedback is volunteered, it contains the raw, unsolicited views and opinions about a brand, individual or event. Opinion Mining finds out the drivers behind the sentiment. By understanding what is driving the sentiment and how one is performing based on Net Sentiment, opinion data can be used to expose critical areas of strength and weakness. This data allows decision-makers in business, from customer experience and marketing to risk and compliance teams, to make the targeted, strategic overhauls needed to reinvigorate profitability or reclaim slipping market share. It is practically impossible to analyze all this reviews manually, so and automated aspect-based opinion mining approach is used. This paper focuses on aspect level, shows a comparative study amongst existing algorithm and proposes a new syntactic based approach which uses dictionary, aggregate score for opinion words. The dataset used was for restaurant reviews. The proposed method achieved a total accuracy of 87.06%.

Published by: Rutik Pravin Ambre, Abhishek Sand

Author: Rutik Pravin Ambre

Paper ID: V7I3-1464

Paper Status: published

Published: May 25, 2021

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