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1.
NeuroQuantology ; 20(14):2640-2646, 2022.
Article in English | EMBASE | ID: covidwho-2299942

ABSTRACT

E-wallet is an internet based payment system which allows the users to make online transactions quickly and it keeps financial as well as personal identity related information securely. Such electronic payment (E-wallet) systems enable a customer to pay online for the goods and services. E-wallets are primarily used for mobile recharges and bill payments. During the last decade, customers areusing E-wallet for payment trending in Indian payment pattern.COVID-19 pandemic effect, E-wallet has tremendous growth in India. With the Government initiative such as Digital India and increased use of smartphone and internet are means to exponential growth in use of E-wallet.The present study is an attempt to clarify the concept of E-wallet and to analyse the awareness and usage of E-wallet in Nagercoil, Kanniyakumari district. The study is descriptive and analytical in nature which makes use of primary and secondary data. For the purpose of study, well-structured questionnaire is prepared to collect the data from the respondents. A sample of 120 respondents from Nagercoil is selected by using convenient sampling technique. The study pointed out the necessity of proper awareness towards E-wallet among all category of people and to solve the concerns and issues of the present customers. This study leads to perform better in future.Copyright © 2022, Anka Publishers. All rights reserved.

2.
1st International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022 ; 1719 CCIS:345-354, 2023.
Article in English | Scopus | ID: covidwho-2250858

ABSTRACT

The current generation data is most valuable in people's life, because data only decided people's health affected in COVID'19 or not, and not only COVID'19 all related to health issues data. To analyze and predict the health issue data by using Machine Learning Algorithm. This prediction issues data has most confidential data and need more security. So, applying the previous method is ChaCha method. This method focusing only performance not fully security. The new method is BR22-01. This method has five stages. The 1st stage is finding the secret key x & y value. The 2nd stage is applying key in Eq. (1). The 3rd stage is merge all values into single row then pair from left and swap the values in the HS matrix. The 4th stage is applying key in Eq. (2). The 5th stage is merge all values into single line then pair from left and swap the values in the HC matrix but reverse. The new method has provide good security as well as performance while compared to ChaCha method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

3.
6th International Conference on Trends in Electronics and Informatics, ICOEI 2022 ; : 222-226, 2022.
Article in English | Scopus | ID: covidwho-1901450

ABSTRACT

In the modern era computers are becoming faster, smarter and better. Their usage is rising in the fields such as medicine, business administration, education etc. So there is a need for simplifying the operability and usability of a computer. Digital virtual assistants are known for easing the interaction with computers. Since most of the digital virtual assistants use voice as mode of communication deaf and dumb persons are finding it difficult to use virtual assistants on their devices. This research work attempts to propose a voice and gesture based virtual assistant that can be used by disabled as well as non disabled persons to perform common tasks on their computers. The main aim of this research paper is to develop natural human-machine interaction. Input to the virtual assistant is the user's choice. Users can choose to communicate using voice and gestures or operate a mouse pointer using gestures. In thee proposed system, gestures are recognized even in low light conditions. So, the proposed system is very much helpful in all day conditions. It can be of great help in times like Covid-19 pandemic to be contact free as well as for people with disabilities. © 2022 IEEE.

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