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Case Study

Social costs and its accounting of prawn farming in west Bengal

Prawns have good domestic and international markets. Prawns may be caught or cultured. Prawn culture is aquaculture. Prawn culture is carried on three districts in West Bengal such as North 24 Parganas, South 24 Parganas, and Purba Midnapore. Prawn culture in these districts plays a vital role in providing gainful employment in rural areas earning foreign exchange and improving the economy. But prawn culture has some bad effects on the environment. The externalities of prawn culture are reduction of cultivation work, threatening food security, ecological imbalance, diminishing fertility of the land, environmental degradation, salination of drinking water, ill health, skin diseases, social pollution, etc. These costs destroy the socio-economic balance of the coastal area. So these costs need to be accounted for in environmental Accounting. Primary data are used for this exploratory research. Some good management practices should be followed to make sustainable prawn farming reducing externalities.

Published by: Dr. Taposh Kumar Paul

Author: Dr. Taposh Kumar Paul

Paper ID: V8I3-1288

Paper Status: published

Published: May 18, 2022

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Research Paper

Implementation of artificial intelligence on the identification of smart attendance with real-time face recognition using CNN

In the changing world, automatic face recognition (AFR) systems have achieved numerous advancements. Smart Attendance with Real-Time Face Recognition is a practical option for dealing with day-to-day tasks. Attendance system for students Attendance is based on the recognition of faces. This is a method of recognizing a student's face in preparation for a test. Face biometrics based on high-definition images are used to track attendance. keep an eye on video and other forms of information technology in front of my face, A computer system will be able to find and recognize people as part of the recognition project. In photos or videos, distinguish human faces quickly and precisely are being filmed on video by a surveillance system. Numerous Improved algorithms and methodologies have been developed for Face recognition performance, but the concept to be Deep Learning is used in this case. It aids conversion.

Published by: Chintapalli Mohan Kumar, Dr. Vanitha Kakollu

Author: Chintapalli Mohan Kumar

Paper ID: V8I3-1256

Paper Status: published

Published: May 18, 2022

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Research Paper

Women workers in construction sector of Kerala –An insight into their economic condition

The economic development of a country depends on the growth of Industry and technological development. The transition from an agriculture-oriented economy to an industry-based seems to be a major landmark. Building construction is a concomitant factor of industrial development. Construction activities create larger employment opportunities for a considerable number of workers. The construction workers are mainly working in informal or unorganized sectors. Basic problems faced in this field include disparity in wages, health issues, discrimination, economic problems, etc. The main objective of the study is to analyze the economic and social conditions of women working in the construction sector. The study reveals the weaker economic conditions of women construction workers. Lack of fixed income and varying working hours continues to haunt them. Their income is found insufficient for their subsistence. The study also revealed that out of the sampled women construction workers most of them depend on loans for meeting their needs of existence. They are not getting work on all days of the month and hence occupational safety is found to be lacking.

Published by: Dr. T. Shameerdas

Author: Dr. T. Shameerdas

Paper ID: V8I3-1294

Paper Status: published

Published: May 18, 2022

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Others

Part Presence Detection and Counting using Advanced Image Processing

Part presence detection, part counting, and part inspection are major steps involved during a quality inspection in various stages of production in any production line. Quality inspection in most industries is done by quality inspectors or operators depending on the stage of production. Visual inspections by humans can cause variations in accuracy and results due to differences among workers. Part presence can be detected by using electronic/electrical sensors. But in cases where there is a large number of components/parts, the number of sensors to be used also increases. This leads to the development of complex systems. As the need for Factory automation has increased in recent times, there is a need to increase the rate of production. Replacing manual intervention with an automated system is an ideal solution. This can be successfully achieved by introducing machine vision and image processing technologies in the automated process. Since machine vision offers high image transmission and high image processing it is easier to achieve reliable and accurate results. Systems that provide these solutions are already available in the market. But these systems are highly expensive and only target large-scale customers that can afford such solutions. This arises a need for solutions that are cost-effective and reliable to target customers with simpler image processing requirements. The main objective of this project is to develop and provide simple low-cost machine vision solutions to customers.

Published by: Jhanavi Trilok, Shivkumar A., Dr. Babu Rao, Dr. S Saravana Kumar

Author: Jhanavi Trilok

Paper ID: V8I3-1287

Paper Status: published

Published: May 16, 2022

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Research Paper

Explore the factors affecting students’ success in the first- year of college

The United Arab Emirates invests great resources in the education of their youth to ensure they can continue and improve the legacy of the nation’s founding fathers. As such, the government pumps in billions of dirhams annually to build an innovative, learned, and globally competitive society (MOE Website, 2021). However, at a crucial transition point, something is missing. Studies found that in some parts of the country up to 45% of high-school seniors, and young Emirati nationals are not interested in pursuing higher education (Bayoumi et al., 2016). This and probably other elements contribute to a disturbingly common phenomenon of Emirati students struggling to succeed in their first year of college. In light of this problem, this exploratory research seeks to analyze the factors that affect freshmen year success among Emirati students in particular. A qualitative method is suggested to identify the main challenging factors that hinder the success of the demographic studied and address those challenges to maximize success.

Published by: Malika Elmelyany

Author: Malika Elmelyany

Paper ID: V8I3-1279

Paper Status: published

Published: May 16, 2022

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Research Paper

Cursor Movement on Object Motion

This paper proposes sanewapproachforcontrolling mouse movement using a real-time camera. Most of the existing approaches involve changing mouse parts such as adding more buttons or changing the position of the tracking ball. Instead, it proposes to change the hardware design. The method uses a camera and computer vision technology, such as image segmentation and gesture recognition, to control mouse tasks (left-click and right-click, selection, scroll, and drag). Hand gestures are acquired using a Web camera based on color detection. In this research work, three colourtapes are used on fingers. The tapes will be used for clicking events on the mouse.ThroughaWebcamera, the real-time video is captured. Image processing is performed in each frame of that video to detect the color and mouse tasks are performed.

Published by: Davuluri Manikanta, K. Harith, S. Sameer Basha, M. Sumanth Reddy

Author: Davuluri Manikanta

Paper ID: V8I3-1162

Paper Status: published

Published: May 16, 2022

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