Volume 11 | Issue 8 | August-2023

 Abstract

A subfield of artificial intelligence, machine learning is concerned with the development of algorithms for computers that can make judgements independently by analysing historical data and experience. Computer simulation of intelligent human behaviour is a fundamental component of the ever-expanding field of data science. The principal aim is to empower computers to engage in autonomous learning processes and adjust their behaviours without requiring human intervention. A foundational discipline of mathematics, linear algebra is critical for comprehending the mechanisms underlying machine learning algorithms, including the gradient descent algorithm. Calculus is utilised to characterise the process of learning and refining our models, which is present in virtually all models. The aim of machine learning is to construct predictive algorithms capable of acquiring knowledge from data, encompassing instances such as the future cost of fuels in a given country, the visual attributes of an object within an image, or the most effective combination of pharmaceuticals to cure a specific ailment. A vast network comprised of the Internet and telephone lines permits users to exchange data via websites and telephones. The responsibility of network administrators is to establish connections between the originator and receiver while ensuring that the capacity of each link is not exceeded. Ensuring a dependable service is unattainable in the absence of the mathematical principles that underpin queuing theory. The inclusion of Poisson processes in mathematical models guarantees the existence of a contact tone throughout a telephone conversation. The complexity of Internet connection routing arises from the unpredictability surrounding the timing and volume of incoming inquiries. Consequently, the development of packet switching occurred, wherein data is partitioned into more manageable "packets" for autonomous transmission. While this promotes improved network performance and resilience, it is not uncommon for routers to encounter connection failures due to excessive packet burdens. There is a viewpoint that fractional mathematics may eventually play a role in the advancement of an internet service that is considerably more dependable.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine learning, Applications, Mathematics, Artificial Intelligence, Data Science.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Library is a resource center from where information is served towards the students, teachers, researcher etc. college library play an important role in higher education system like college education system and University education system. But Present situation of library and librarian facing a great challenge. This situation arises prominently at the time of pandemic situation (covid-19, from 2019 to 2022). In this paper, I emphasize on technology needed for a college library in the rural place like Jamini Roy College. In this study I have tried to represent finding opportunities on the both library and its users for future development. The study has been done by Document research applied for making related and relevant literature review. Descriptive or survey method is used for investigating the current condition of Jamini Roy College library and what type of barrier facing by the librarian.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

College library services; Service in Covid-19 period; Digital library; Information communication technology; Library management software; virtual library; Library without wall

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The novel Invisible Man has been described as a Kafkaesque novel. It has also been called a picaresque novel with has furthermore, been described as an existential novel. It contains penetrating psychological passages and a profound treatment of its theme as well as a realistic status of one of the masterpieces of American fiction and one of the greatest triumphs in the field of novel-writing in the twentieth century. Analyzing the modern novelist's task, Ellison observed that he had to find, "for himself and for his readers some new insight into the human predicament, some new facet of human possibility". The novel primarily communicated "a vision" of a particular experience that achieved "its university, if at all, through accumulating images of reality and arranging them in patterns" of a broader experience. Ellison's central purpose in writing "Invisible Man" was to portray the black protagonist in the novel as possessing the full complex ambiguity of the human as against the stereotype image of the black man. In order to portray the Negro character possessing the full, complex ambiguity of the human, Ellison in "Invisible Man" presents what he calls the Black American experience in its widest scope and variety from the Reconstruction period to World War-II. He has compelled the white society the urgency reexamining project of "Humanism" upheld with pride since time immemorial. It was only in the 20th century there is a radical revision of "Humanism" that tried to accommodate the problems of Race, Class & Caste.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Humanity, Race, Class & Caste.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Purpose - The objective of the study is to describe the potential risks and benefits of cryptocurrency adoption on the Indian economy and to analyze the factors for the growth of cryptocurrency in India. Design/methodology/approach - Descriptive research is undertaken to describe the impact of cryptocurrency on the Indian economy. The primary data is collected from a sample of 700 consumers residing in India covering their attitudes, perceptions, and usage of cryptocurrency. The survey is conducted online through a web-based platform, and is distributed using social media and email channels. Findings - On the positive side, cryptocurrencies can provide financial inclusion to the unbanked population, provide a new avenue for investment, and reduce transaction costs for cross-border transactions. It can also attract foreign investment in the Indian economy and boost the country's technological development. However, there are also concerns regarding the use of cryptocurrencies in unlawful activities such as money laundering and financing terrorism. There is also the risk of the Indian economy losing control of its monetary policy and the potential for instability in the financial system. Originality/value - The impact of cryptocurrencies on the Indian economy remains uncertain. While it presents both opportunities and challenges, a cautious and balanced approach is necessary to harness the potential benefits while mitigating the risks. However, in the future, the rigorous empirical studies are to be undertaken to know the real benefits are being enjoyed the people who invested money in cryptocurrency. Paper Type - Research paper

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cryptocurrency, digital currency, Indian economy, demographical factors, adoption of cryptocurrency, etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study aimed to know the suicidal tendency among boys and girls. It also aimed to check suicidal tendency with reference to gender and area. The Suicidal Tendency Scale (Revised) (STS-R) by Rasik G. Meghnathi (2020) was used. The sample constituted total 120 college students out of which 60 were from boys students (30 urban area and 30 rural area) and 60 from girl students (30 urban area and 30 rural area). The data was collected from normal population of Ahmedabad District. The data was scored, analyzed as per the manual. 'F' test was being calculated. The result showed that 1.. The boys college students is having more suicidal tendency than girls college students group, 2.. The college students of urban area is having more suicidal tendency than college students of rural area group and 3.. The college students of rural area is having more suicidal tendency than college students of rural area group.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Suicidal Tendency, Boys and Girls, Students of Urban Area and Rural Area

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Attracting and retaining high-quality teachers is a primary necessity as well as a challenge for educational institutions. While intrinsic factors play a significant role in motivating individuals to enter the teaching profession, extrinsic conditions can influence their job satisfaction and desire to remain in teaching. In addition, demographic factors and teacher-specific and school-specific characteristics also affect job satisfaction. The present study aimed to know the job satisfaction among government and private school teachers in relation to their type of teachers and gender. The job satisfaction scale prepared by Dr. (Mrs.) Meera Dixit (2013) was used. The sample constituted total 120 school teaches out of which 60 were from government school teachers (30 male and 30 female) and 60 were from private school teachers (30 male and 30 female). The data was collected from various schools of Ahmedabad District. The data was scored, analyzed as per the manual. 'F' test was being calculated. The result showed that, 1. The private school teachers group is having more job satisfaction than government school teachers, 2. There is no significant difference in the mean score of the job satisfaction among male and female school teachers and 3. There is no significant difference in the interactive effect of the mean score of the job satisfaction among type of school teachers and gender

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job satisfaction, government and private school teachers, male and female school teachers.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Adjustment is a process that is supposed to lead to a person's happy and contented life. It establishes a balance between requirements and capacity to meet them, persuades those concerned to adapt their lifestyles to the demands of the circumstances, and provides the strength and capability to bring about desired changes in environmental conditions. The present study aimed to know the home adjustment among high school students. It also aimed to check home adjustment with reference to gender and residence area. High School Adjustment Inventory (HSAI) constructed by A.K.Singh and A. Sen Gupta (2011) was used. The sample constituted total 120 high school students out of which 60 were from boys students (30 urban area and 30 rural area) and 60 from girl students (30 urban area and 30 rural area). The data was collected from Ahmedabad District. The data was scored, analyzed as per the manual. 'F' test was being calculated. The result showed that, 1. The boys high school students group is having batter home adjustment than girls high school students group, 2. The high school students of rural area group is having batter home adjustment than high school students of urban area group and 3. There is no significant difference in the interactive effect of the mean scores of home adjustment with regards to the gender and residence area.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Home Adjustment, boys students and girls students, urban area and rural area

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Road accidents are more frequent today than ever before for a variety of reasons, including poor road conditions, poor weather, driver inexperience, etc. Due to these reasons, a sizable number of individuals in India have died or been hurt. Traffic accidents need to be analyzed to find issues and their influence on death rates and injury severity levels in order to increase traffic safety. In order to investigate the primary causes of accidents in all of India's states, we did cluster analysis using data sets from road accidents that were published by the Indian government. On the Hadoop platform, hierarchical clustering is used to evaluate the traffic data set for every state in India. The main agenda of Hierarchicalclusteranalysis is tofindingdatasetsthatbelongstogetherandat separating them from the other data resulting a cluster ofvariables.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ACCIDENT DATA ANALYSIS USING HADOOP HIERARCHICAL CLUSTERING

  License

Creative Commons Attribution 4.0 and The Open Definition