Paper Title

A MACHINE LEARNING APPROACH TO ANALYSE AND PREDICT THE IMPACT OF WEB BASED LEARNING ON UNDER GRADUATE STUDENTS OF MUMBAI REGION

Abstract

In the modern era of education, technology plays a significant role in the teaching and learning. By the advancement of information technology, learning can be accessible and more effective through online mode than traditional mode. Over the last few years, web based learning has shown a tremendous growth in India. This helps the learners to learn beyond boundaries. According to the survey conducted, enrollment for online education has increased by 170% from 2021-2022.This shows the positive impact of web based learning. 20.3lakh learners from India opted for open and distance learning compared to last year 2020-21 where the total number opted was only 14.6 lakh. This statistical figure shows the demand of web based learning and the need to do greater research in this area to implement web based learning in rural and semi-rural areas for functioning smoothly and effectively. But at the same time, it is important to understand whether there is a digital divide existing in rural and urban India or between privileged and deprived population. Successful implementation of web based learning depends on varied factors and the need to understand the benefits of the same to maximum learners to rural, semi-rural and urban areas. This could depends on the demographic area, the interest in web based learning, the amount of time spent on web based learning, the electronic gadgets used for web based learning, the physical, social and psychological impact on web based learning. This research aims in understanding the factors associated with successful implementation of web based learning in Mumbai region and try to come up with a model to using machine learning algorithms to implement the same in the best feasible way. The literature survey helped in imparting inputs to this research study in coming up with the basic hypothesis on the various factors that can affect while implementing the web based learning. The study also covered the various parts of Mumbai region to understand the impact of web based learning and the various factors affected while doing web based learning and the area of improvement needed to ensure that the model is robust and can be used in various situations. The research is carried out in two parts. The initial parts are mainly to understand the existing web based learning in rural and urban areas to understand the current situation and the requirements. The study then develops a new model which predicts the impact of web based learning in Mumbai region using machine learning algorithms.
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Paper Title

INJECTION MOULDING WITH HIGH QUALITY PRECISION FOR NON STOP PRODUCTION

Abstract

Injection decoration is one of the reliable applications in the present global market which can be a point of growth in industrial zones. The consumable goods having high priority now a day, where plastic use increases significantly around the globe for their regular house hold needs. Injection Moulding is a one of the most Conspicuous processes for producing the plastic Items. A contextual analysis on plastic Electrical switch box is considered to Research on the optimization of process parameters (temperature, pressure, and time). It is carried out for the Injection Moulding machine. Even plastic components usage increase all over the world, the process and rate of production should be optimized to increase the production rate. The present research deals with the unique runner and gate preparation to economize manufacturing cost by using computer simulation program called mould flow analysis. There are so many types of moulding procedures available the research undertake number of cavities to the optimization of analysis starts from single cavity to 16 cavity moulds
KEYWORDS : Injection, moulding, electrical switch box, economize, cavities

Paper Title

A RESEARCH ON A COMPARATIVE STUDY OF CYBER LAW IN AVOIDANCE OF CYBER-CRIME TOWARDS CYBER SECURITY DEVELOPMENT

Abstract

Cybercrime refers to criminal activities that are carried out through the internet or other digital communication networks. In India, cybercrime has become a major concern in recent years, with an increasing number of people using digital devices and the internet for various purposes. To address the issue of cybercrime, the Indian government has enacted various laws and regulations. The primary legislation in this regard is the Information Technology Act, 2000, which was amended in 2008 to provide more teeth to the law in tackling cybercrime. Other relevant laws include the Indian Penal Code, the Criminal Procedure Code, and the Indian Evidence Act. Some of the common types of cybercrime in India include hacking, phishing, identity theft, cyber stalking, and online fraud. To combat these crimes, the government has set up various agencies such as the Cyber Crime Investigation Cell, the Cyber Appellate Tribunal, and the National Cyber Security Coordinator. The penalties for cybercrime in India can range from fines to imprisonment, depending on the severity of the crime. For example, hacking can result in imprisonment for up to three years and a fine of up to five lakh rupees, while cyber stalking can result in imprisonment for up to three years and a fine. Overall, the Indian government has taken significant steps to address the issue of cybercrime, and it is important for individuals and organizations to be aware of the laws and regulations in place to protect themselves from cyber threats.
KEYWORDS : law , Cyber crime, cyber security

Paper Title

CHARGING STATION SCHEDULING OF EVS USING WEIGHTED VORONOI DIAGRAM

Abstract

The major goal of this study is to develop a revenue optimization model for scheduling EV charging stations by considering and accounting for the various aspects of charging station construction. Using the charging and travel habits of EVs, an estimate of the power consumption is made to establish the charging station\'s capacity needs in the designated area. Based on the number of EVs on the road, a weighted Voronoi diagram is modified to optimise the distribution of service areas and load rates. One concept of charging station scheduling for electric automobiles uses particle swarm optimization and the weighted Voronoi diagram to maximise efficiency in station location and service coverage. The study\'s findings provide substantial support to the validity of the model and the viability of the proposed procedure.
KEYWORDS : Electric vehicles; charging station Scheduling; charging power demand analysis;weighted Voronoi diagram

Paper Title

AN ASSESSMENT OF THE ADVANTAGES AND DISADVANTAGES OF SIX SIGMA

Abstract

This study focuses on a comparison of Six Sigma\'s benefits and cons. For almost 30 years, Fortune 500 companies have relied on the Six Sigma technique to improve their processes. Some advantages and disadvantages of Six Sigma are discussed in the literature, and an online survey instrument developed from these discussions is utilised to probe more deeply into the aforementioned issues. This research was made possible with the help of 42 Six Sigma Master Black Belts and Black Belts from significant manufacturing organisations, as well as 15 academics with expertise in Six Sigma. For a report on the fundamental advantages and cons of Six Sigma, experts from major manufacturing businesses and institutions were questioned. Understanding restrictions and basic gaps and developing solutions is crucial to the sustainability of Six Sigma projects. The purpose of the research is to show prominent academics that they can help solve Six Sigma\'s problems by collaborating with business leaders.
KEYWORDS : Six Sigma, Advantages and disadvantages, Research gaps

Paper Title

REVIEW OF RECENT ADVANCES IN MAGNETIC NANOPARTICLES AND VARIOUS APPLICATIONS

Abstract

Numerous uses for nanoparticles (NPs) have transformed a number of societal fields. Due to its applications in specialized fields including medicine, cancer theranostics, biosensing, catalysis, agriculture, and the environment, magnetic nanoparticles (MNPs) in particular have attracted a great deal of attention in the last ten years. The design of multi-functional MNPs must include controlled surface engineering if the intended use is to be realized. The MNPs have shown to be very effective as biosensors, imaging agents, drug delivery systems, and thermoelectric materials. In this review, we have first briefly covered the primary techniques of MNP synthesis before moving on to their characterisation and composition. Then, using illustrative examples, we examined the possible uses of MNPs in various fields. We concluded by providing a summary of the present difficulties and potential futures for MNPs. This thorough analysis not only explains the synthesis, functionalization, and use of MNPs from a mechanistic perspective, but it also discusses their limitations and future possibilities.
KEYWORDS : magnetic nanoparticles, synthesis, characterization, composition, applications

Paper Title

FUZZY, INTUITIONISTIC, AND NEUTROSOPHIC SOFT TOPOLOGICAL SPACES: A REVIEW

Abstract

The idea of fuzzy sets was developed to deal with object uncertainty. The extension of fuzzy sets includes fuzzy topological space, in-tutorial fuzzy sets in topological structure space, vagueness in topological structure space, rough sets in topological space, theory of hesitation, neutrosophic topological space, etc. A family of parameters known as a \"soft set\" is also a set. Soft sets are combined with different topological structures to create fuzzy soft topological space, intuitionistic fuzzy soft, and neutrosophic soft topological space. This inspires me to research and write a review on numerous soft set ideas. This work provides a thorough analysis of soft topological spaces in a number of sets, including neutrosophy, fuzzy, and intuitionistic fuzzy sets. Finally, for ease of comprehension and to demonstrate the benefits and drawbacks of various instruments now available in the literature, we compared a few of them.
KEYWORDS : Soft sets, fuzzy soft topological space, intuitionistic fuzzy soft topological space, neutrosophic soft topological space.

Paper Title

REVIEW OF FRACTIONAL TRANSFORMS AND THEIR PRACTICAL APPLICATIONS

Abstract

This review paper delves into the fundamental concepts and practical applications of fractional transforms, a powerful mathematical tool that has found widespread use in various fields. Fractional transforms are generalizations of classical integral transforms, extending their applicability to signals and functions with non-integer orders. The paper presents an overview of fractional calculus, discusses different types of fractional transforms, and explores their significance in real-world scenarios. Furthermore, the paper highlights the practical uses of fractional transforms in signal processing, image analysis, physics, finance, and other relevant domains.
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Paper Title

AN ANALYSIS OF QUEUING MODEL

Abstract

The mathematical analysis of waiting lines is known as queuing theory, and it is particularly helpful to define Modern information technologies necessitate innovations based on modeling, analyzing, and designing transactions as well as the process of traffic control in everyday human activities like telecommunications, reservation counters, super markets, big bazaars, and theater ticket windows, as well as figuring out the order of computer operations, computer performance, health services, airport traffic, and airline ticket sales. In the world of computers, Queue models are also the foundation of Parallel and Distributed systems. In this essay, we\'ll talk about the queueing model and theory\'s methodology.
KEYWORDS : Mathematics Study, Queueing System, traffic control, airline ticket

Paper Title

CASE STUDIES AND EDUCATION IN DATA SCIENCE IN HIGHER EDUCATION INSTITUTIONS

Abstract

While the Data Science industry is booming, it is still very nascent but very promising. This industry is expected to grow by 26% by 2026, The most common source available now is our GPRS services. So, when we activate the GPRS for our road travel, it uses various branches of data science to seek out the shortest route, estimate time of arrival, nearby places for petrol re-fill and eating outlets. All these activities are assisted by the data science software running in the background. To summarise, the Data Science team everywhere helps the organizations manage, tackle, analyze their data every day. To simplify, Data science is a field that helps to structure the data using the Data Mining Technique.
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