Volume 11 | Issue 5 |

 Abstract

Identity theft is a global phenomenon that has been the subject of investigation and reportage. As a result of the neoliberal economic policies and technology adaptation that are today the standard across all industries, people's perspectives are changing at a rapid rate. Despite diverse outcomes, the value of information technology has been progressively growing. Due to the rapid growth and improvement of the nation's information technology infrastructure in recent years, identity theft has become a growing problem. Due to the fact that identity theft targets personal information, this is the case. A person commits social media identity theft when they create a phoney social media profile in another person's name using their images and personal information. Regardless of whether the conduct is performed in jest or with the intent to deceive others, it reflects negatively on the one who committed it. There are several reasons why con artists perpetrate this form of theft against their victims. The purpose of this study is to examine the many sorts of identity theft that may occur in India as well as the existing legislative framework for combating and preventing these types of crimes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Identity Theft, Phishing, Hacking, Information Technology, Social Media

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social media platforms have become increasingly popular in the financial world as a means for individuals to share information about their portfolios and investment strategies. In recent years, the integration of deep learning algorithms that are namely recurrent neural networks (RNNs) and long short-term memory (LSTM) networks has opened up new possibilities for using social media data to predict stock prices. This abstract aims to provide an overview of the use of RNNs and LSTMs for stock prediction using social media data. Social media platforms offer a vast amount of data that can be used to perform analysis of stock prices. This includes data about individual stocks, news articles, and sentiment analysis of social media posts. With the help of RNNs and LSTMs, this data can be processed to make accurate predictions about the future performance of individual stocks. The use of social media platforms for stock prediction has several advantages. For example, the vast amount of data available on social media platforms allows for a more comprehensive understanding of market sentiment and the impact of external factors on stock prices. Additionally, the ability to share portfolios and investment strategies with other users provides a unique opportunity for collaborative analysis and insight.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Social media, portfolios, stocks, RNN, LSTM, Stock prediction.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT BACKGROUND OF THE WORK: Bishnupur District of Manipur has rich biodiversity of ethnomedicinal plants and the indigenous Meitei community residing in this area have ample knowledge of medicinal plants available in their surroundings to cure different gynaecological disorder. The present study encompasses to determine the records of the quantitative data regarding the ethnomedicinal plants used in Maternal health care by the Meitei community of Bishnupur District, Manipur. MATERIALS AND METHOD: The information was collected from 120 informants (40 males and 80 females) ranging from 20 to 80 age group, who have knowledge of ethno-medicine in treating women health care of 14 localities, by using random sampling technique data collection and data analysis were done through frequent survey programme through open ended and semi-structure questionnaire. Questionnaire indices such as informant consensus factor (FIC) and Fidelity level (FL) were used. RESULTS: The present study reveals that overall, 17 different women ailments are being treated with a total of 35 plants species belongs to 54 general that are distributed over 23 families. It was found that the Amaranthaceae, Asteraceae, Euphorbiaceae and Fabaceae was the most dominant among all other families followed by Apocynaceae, Acanthaceae, Moraceae and Poaceae. Eupatorium odoratum L. shows the highest number of informant (42) for Gonorrhoea which have FL value of 93 and FIC value of 0.94 followed by Blumea aromatica DC which have 42 informants and living FL value of 93 and FIC value of 0.88 for Leucorrhoea Mesue ferrea L. possess Fl value of 50 and FIC value of 0.84 for Leucorrhoea and are included in the last portion Which are being supported by only 4 informants. CONCLUSION: The plants with highest use value and informant consensus factor and fidelity level from the present study sites could be employed in pharmacological research and useful in the production of bioactive compounds for future prospect.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Ethno-Gynaecological, Quantitative, ailment, Medicinal Plants, Treatment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The rapid growth of vehicles implies more fuel is required, resulting in the emission of harmful gases into the environment, causing air pollution. The primary cause of vehicle pollution is the continually growing number of vehicles. An increase in the usage of private cars is not exactly a positive trend. Public transport has become a part of live Most people reach from home to workplace or school using public transportation. Waiting for public transport services is one of the most important factors deteriorating public transport customer satisfaction. People spent more time in waiting for the vehicle. The services provided to passengers by transport systems are very important. People have the right to know where the bus is now and how long time it takes hus to reach bus stop. People need a service like route, schedule information, fare and current location of the public transport. This can be provided for the needy people in the proposed system by an application to track the location of the buses and to manage the schedule of the buses in every branch location. The passengers can view the schedule of the buses and know whether the bus is On Travel, Arrived, Delayed, or Cancelled trip and they can view where's the location of the buses.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

GPS, Google map API, KNN algorithm, notification system

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This research looks on the usefulness of employing e-learning in tertiary education. The use of current information and communication technology for teaching and learning is critical in higher education institutions. This study explores the literature and provides a scholarly backdrop to the study by evaluating certain contributions made by various academics and institutions on the notion of e-learning, particularly its use in higher educational institutions' teaching and learning. Through surveys and other observations, it reveals some of the perspectives that individuals and institutions throughout the world have on the use and integration of e-learning technology in education. It examines the many academics' definitions of e-learning, as well as the function that e-learning plays in higher educational institutions in connection to teaching and learning processes, as well as the benefits and drawbacks of its acceptance and implementation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-learning, Advantages , Disadvantages, Education

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Establishment and colonization of herbaceous plants in semi-desert area is often a critical stage. Many plants grow along roadside areas of Jaipur during rainy season and make a green belt helping in reducing soil erosion , reducing dust pollution caused by vehicular smoke and also gives asthetic value to the city. Hence a study was conducted on naturally growing plantCassia obtusifolia ascoloniser for the barren land. A field study was conducted around three selected sites of suburban area of Jaipur and data was collected. Ecophysiology, agrobotanical traits, seed size-number and reproductive capacity was calculated by taking statistical one way ANOVA F test.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

establishment, agrobotanical traits, survival capacity, reproductive capacity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Job awareness has slacked its awareness amongst students of this generation. The importance of financial gain has been a negligence among them. Job readiness is an important factor in a students life which makes him prepare for his next step in their career. Individuals of this generation eminently lack basic skills which are mostly blamed on the institutions. Communication skill and Professional skills are highly expected when you are present in a job interview. Organizations setup a high-standards in recruiting process since it majorly relies on their reputation and progress in future. A study was conducted amongst the students and has been concluded that the institutions neglect their duties as they provide improper training which makes their job hunt difficult. Most of the individuals are not satisfied with their lack of guidance. It has been concluded that an awareness must be created amongst the students regarding their career and must be provided with proper guidance by the institutions for their futural basis. Institution must take necessary actions towards it and maintain their reputation by fulfilling their needs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job awareness, Job readiness, Communication skill, Professional skill, Institutions

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In many applications, the cascaded multilevel inverter (CMI) topology is common. However, the CMI's biggest disadvantage is that it necessitates numerous switches and segregated dc sources. As a result, the CMI topology becomes more expensive, complex, and large, and its efficiency suffers. Compared to the conventional CMI, the proposed inverter uses almost half the number of switches, while maintaining a boosting capability. Additionally, the main drawback of switched-capacitor multilevel inverters is the capacitor inrush current. This problem is also averted in the proposed topology by using a charging inductor or quasi-resonant capacitor charging with a front-end boost converter with a L-C filter. The capacitor will enhance the diode current while decreasing the ripple voltage. This high current could harm the diode, exacerbate the heating issue, and reduce the filter's effectiveness. On the other hand, a straightforward series inductor lowers the output voltage and current's peak and effective values. An ideal practical filter circuit can be created by combining the functions of a series inductor filter and a shunt capacitor to stabilize voltage and smooth current, respectively. The effectiveness of the suggested inverter topology is confirmed by simulation results.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Multilevel Inverter, Switched-Capacitor Cell, Switch Reduction, Reduce Harmonics

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The conventional floor cleaning machines is most widely used in airport platforms, railway platforms, hospitals, bus stands, malls and in many other commercial places. These devices need an electrical energy for its operation and not user friendly. In India, especially in summer, there is power crisis and most of the floor cleaning machine is not used effectively due to this problem, particularly in bus stands. Hence it is a need to develop low cost, user friendly floor cleaning machine. In this project, an effort has been made to develop a manually operated floor cleaning machine so that it can be an alternative for conventional floor cleaning machines. In this work, modelling and analysis of the floor cleaning machine was done using suitable commercially available software. The conventionally used materials were considered for the components of floor cleaning machine. From the finite element analysis, we observe that the stress level in the manually operated floor cleaning machine is within the safe limit. This ?r?je?t is b?sed ?n ?ur inn?v?tive ?r?je?t ?f designing, devel??ing ?nd m?nuf??turing ? semi-?ut?m?ti? fl??r ?le?ning m??hine w?rking ?n s?l?r ??wer, b?ttery ?r ele?tri?ity. A semi-automatic floor cleaning machine has been developed with basic considerations for low energy consumption, reduction in machine as well as operating cost, minimizing human effort, eco-friendly and easy to handle. The premise of the project was to use renewable energy that is abundant in most countries, which would have a lower environmental impact and would be easier to manufacture for commercial scale in the future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Floor cleaner , Floor dryer , Scrubber mechanism , water pump , remote control etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Positive intelligence is the science and practice of developing mastery over your own mind so you can reach your full potential for both happiness and success. Present study focuses on the research aptitude and positive intelligence of M.Ed. students. From the population of the study and from sample size, 64 students selected randomly. Emotional intelligence test by (S.K MANGAL and SUBHRA MANGAL) and students achievement score of M.Ed. 1st yr. students served in obtaining the data of the study. Method of correlation, Product Moment correlation is used to analyzed the data of the study. Between above mentioned two variable obtained correlation was found + .92 that is very high correlation between two variables. As a result, it was concluded that positive intelligence of M.Ed. students highly correlated with the Research Aptitude and positive intelligence influences the phenomena of the Research Aptitude positively.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Positive Intelligence, Higher Education, Teacher Education

  License

Creative Commons Attribution 4.0 and The Open Definition