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Research Paper

Machine learning for 5G technology

The deployment of 4G / LTE mobile networks has solved the big challenge of creating high-capacity mobile real broadband internet. This was made possible mainly by the strong physical level and the flexible network architecture. In addition, there is a strong demand for high reliability and almost zero latency of mobile networks with other new services. Such as vehicle communication or vehicle internet. 5G has overcome some of these challenges. In addition, the adoption of software defense networks and the virtualization of network functions have added greater flexibility to operators, allowing operators to support high-demand services from a variety of vertical markets. It is also necessary to predict its evolution in order to create a network that can be actively and effectively (self-measuring). This chapter explains the role of artificial intelligence and machine learning in creating cost-effective and relevant next-generation mobile networks in 5G and later mobile networks. Some of the practical applications of AI / ML in the network life cycle are discussed.

Published by: Patel Niharkumar Kantibhai, Patel Nirmalkumar Shankarbhai, Gameti Brijesh Jashvantbhai

Author: Patel Niharkumar Kantibhai

Paper ID: V8I1-1137

Paper Status: published

Published: January 3, 2022

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Research Paper

The analysis of the sustainable food value chain via business model canvass techniques creates a scope of business opportunity.

The convergent innovation model has based on a linear approach to defining next-generation requirements which rely on science technology, innovation program, and full fill the requirement of three themes as the health of people, environment, and economy for the future, which build firms strategic vision, through developing a new product, new process, and practices in a novel way. Purpose: The current research describes the importance of convergent innovation technology, sustainable pulse value chain, and developed convergent innovation framework model and also establishes a potential mapping between convergent innovation with the sustainable pulse value chain and discussed the pioneering initiative of convergent pulse innovative programmer in Indian pulse processing firms. Design/ Methodology; The current research study is based on explorative method and descriptive method, and review literature based on primary data and secondary data. The convergent innovation technology related, from the field of science, technology which highlight evolution of convergent innovation technology get benefitted to all sectors, as well as the collaboration of convergent innovation with sustainable pulse value chain increases the efficiency of pulse processing firms and enhanced sustainable pulse value chain. Conclusion: The convergent innovation upgrade innovative technology and made expansion of business. It operates in multilevel and cross-sectoral collaborative platforms through pulse processing industries and introduced in the form of pulse innovative programs such as the Odessa pulse program, tata pulse initiative program, etc. which establish the link between villages and modern value chains. The research focused on the mapping of convergent innovation with a sustainable pulse value chain to generate benefits.

Published by: Mandavi Sahu, DR. SAPNA ARORA, Dr. Vishal Jain

Author: Mandavi Sahu

Paper ID: V7I6-1318

Paper Status: published

Published: January 3, 2022

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Research Paper

Knowledge, attitude, and practices regarding contraception among reproductive-age females of Mashobra, Himachal Pradesh

Objective To assess the knowledge, attitude, and practice of contraception among reproductive-age females of Mashobra Block. Materials and Methods A cross-sectional study was conducted during the month of December 2021 to evaluate the knowledge, attitude, and practice of contraception among 230 reproductive-age females visiting the outpatient department in Community Health Center Mashobra, Shimla. Descriptive statistics were used for data analysis. Results The study showed that 94.7% of the reproductive age females had heard about contraceptives, and 83.5% knew about the source of availability of contraceptives. 58% of females had gained information about family planning and contraception from health personnel, 27% from friends, 13% from media, and 1.7% from newspapers. 90males knew about male condoms, but only 50% had knowledge about contraceptive pills. Among the permanent methods, female sterilization was more widely known (56%) than male sterilization (28%). 78% of females thought that contraceptive use was beneficial, but 22% thought otherwise. Only 69% of females were presently using contraception or willing to use some contraceptive method in the future. The most common methods of contraception used by females of reproductive age were condoms (40%) by the male partner. Around 14% of females had undergone sterilization. Conclusion The study highlights the need for continuing education about sexuality and contraception. Health personnel, especially ASHA workers, have played a pivotal role in spreading awareness and can thus be used for motivating eligible couples to adopt family planning methods and use of contraception.

Published by: Dr. Sonali Singh, Dr. Shalini Sharma, Dr Ambuj Shandil, Dr. Aabha Sharma

Author: Dr. Sonali Singh

Paper ID: V7I6-1425

Paper Status: published

Published: January 3, 2022

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Research Paper

Influence of water hardness on the use of hair care products in the sensory evaluation and physical properties of hair

In this study, the effects of water hardness on the use of hair care products are analyzed on the basis of sensory assessments and physical characteristics of hair. The study is divided into sections into sensory attributes and physical properties to assist with a scientific analysis of the influence of water hardness on the use of hair care products. Sensory evaluation is conducted by a trained shampoo panel with 8-10 members. In order to carry out an objective assessment of sensory properties, physical measurement techniques are used that focus on quantifying the combing force of the hair. Three shampoo technologies (standard shampoo, polymer care technology, silicone technology) are applied on damaged hair and undamaged hair. This study shows that water hardness has a significant influence on the use of these three shampoo technologies. Water hardness has a significant effect on eight attributes of the shampoo panel: Perceived hair quantity, aqueous foam, rinsing time in seconds, ease of disentangling, combability, residual product, hair - dullness, lackluster, hair - softness. Silicone technology shows the best performance regarding water hardness.

Published by: Stephanie Wagner

Author: Stephanie Wagner

Paper ID: V7I6-1423

Paper Status: published

Published: January 3, 2022

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Review Paper

Detecting and preventing cyberbullying comments on social media using Deep Learning

Increasing social media sites attract the attention of all people. We can utilize its benefits effectively for good things. But few people don’t use these sites in the right way. Hating comments, spreading rumors, blackmailing using social sites have been increased. Much research is involved in solving these problems by employing machine learning and deep learning algorithms. The most existing solution is detecting cyberbullying, but facing difficulties in analyzing the short texts. Blocking the user who cyberbullying is also not possible. This paper proposes a detailed review of the machine and deep learning approach for detecting, preventing cyberbullying, and blocking malicious users using Natural Language Processing technique (NLP) and deep learning algorithm named as Backpropagation neural network algorithm.

Published by: M. S. Jothi, Dr. J. Jospin Jeya

Author: M. S. Jothi

Paper ID: V7I6-1422

Paper Status: published

Published: January 3, 2022

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Research Paper

Correlational tendencies between Goods and Services Tax and financial markets in India

This paper is aimed at finding a correlation, if any, between Goods and Services Tax (GST) collection announcements and financial markets, specifically, the National Stock Exchange in India. The authors hypothesize that news of GST collection data affects investor confidence and thus the stock market. The result is evident from the correlation between the index of companies with the highest MCap and GST, especially in the financial year 2021.

Published by: Rahul Bhargava, Akshat Adlakha

Author: Rahul Bhargava

Paper ID: V8I1-1142

Paper Status: published

Published: January 3, 2022

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