Volume 12 | Issue 4 |

 Abstract

In this paper, we introduce the concepts of and convergence of sequences of functions and the concepts of and Cauchy sequences of functions in -adic linear 2-normed spaces. Also we investigate the relation between these concepts in -adic linear 2-normed spaces

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 Keywords

2-normed spaces, p-adic 2-norm, p-adic linear 2-normed space, Cauchy sequence, Cauchy sequence

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 Abstract

Crime forecasting and prediction using machine learning has become an important field of study in recent years. By analyzing historical crime data, machine learning algorithms can identify patterns and trends that help predict the likelihood of future crimes occurring in specific areas or times. Every nation needs to prioritize its efforts in the areas of criminal investigation and prevention. The number of criminal cases in India and other countries is increasing at a rapid place, which has resulted in an increasing number of active cases. Keeping up with the growing quantity of criminal cases is becoming more and more challenging. Preventing criminal behavior in a given area requires an understanding of its trends. Having a comprehensive understanding of the patterns of criminal conduct prevalent in a certain area might enhance the efficacy of crime-solving organizations. Despite the significant and ongoing issue of crime against women, women's safety and protection are primary concerns. This work uses ensemble methods to anticipate crime patterns that could emerge in a given area.

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crime forecasting, Preventive measures , Criminal behaviour , Interventions

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 Abstract

The project aims to enhance sales by pinpointing customers who successfully make purchases within their budget, whether through installments or upfront payments, and then launching targeted marketing campaigns toward this specific segment. A dataset has been gathered containing various customer attributes such as ID, balance, purchase behavior, installment plans, cash advances, credit limits, payments, and tenure. By analyzing these features among existing customers, the marketing strategy can be tailored effectively to increase company sales by focusing on specific clusters of customers who demonstrate responsible spending behavior within their financial means. Finally, an analysis of each cluster's characteristics is conducted to gain insights into the distinct segments of customers. This method allows companies to customize their marketing plans and offerings to specific customer groups, thereby enhancing customer satisfaction and maximizing profitability.

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Market Segmentation,Customer Segmentation,K-Means,Clustering,PCA

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This study explores the correlation between generalized anxiety and well-being among adolescents, utilizing the GAD-7 scale and the Adolescent Wellbeing Scale with 110 college students. Contrary to expectations, findings reveal a non-significant negative correlation between generalized anxiety and well-being scores. This suggests that changes in generalized anxiety do not predictably influence adolescent well-being in this sample. Potential factors contributing to this outcome are discussed, emphasizing the need for further research to understand the complexities of this relationship.

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Generalised anxiety, well-being, adolescence

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In the realm of digital media, the proliferation of deepfake technology has brought forth significant concerns regarding its potential for misuse, particularly in areas such as political disinformation and privacy infringement. To counter these threats, we propose a groundbreaking approach to deepfake analysis that encompasses both image and audio detection. This method integrates advanced techniques such as Res-Next CNN for precise frame-level feature extraction from images and MFCC feature extraction for audio, coupled with LSTM-based RNN for comprehensive temporal analysis across both modalities. This model exhibits a remarkable ability to accurately discern between authentic content and deepfakes in both images and audio recordings. Additionally, our methodology emphasizes adaptability and scalability, ensuring its effectiveness across various digital platforms and evolving deepfake techniques in both visual and auditory domains. By continuously refining our model with ongoing advancements in AI and deep learning, we remain steadfast in our commitment to staying ahead of emerging threats posed by malicious actors. In addition to its utility in detecting deepfakes across multiple modalities, our system features a user-friendly interface for swift mitigation of AI-generated manipulations. By leveraging the power of AI to combat AI, our methodology prioritizes simplicity and reliability, validated through rigorous evaluations on diverse datasets encompassing both image and audio samples. Through these efforts, we safeguard against the harmful impact of deepfakes, thus preserving the integrity of digital media and protecting individuals' privacy and societal well-being.

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Keywords--AI-generated manipulations, DeepFake technology, Res-Next CNN, LSTM-based RNN, MFCC feature extraction

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One of the main objectives of the study and application of video surveillance is the detection of anomalous events. Surveillance cameras are being used more often in public areas such as roadways, crossroads, banks, and shopping centers in an effort to increase public safety. One of the most important tasks in video surveillance is recognizing anomalous occurrences, such as crimes, traffic accidents, or illegal behavior. Abnormal events usually occur significantly less frequently than normal activities. The goal of a workable anomaly detection system is to identify the window of time when the anomaly is occurring and to rapidly notify users of behavior that deviates from expected patterns. Consequently, anomaly identification can be considered a fundamental method of comprehending videos by distinguishing abnormalities from typical patterns. After an anomaly has been discovered, it can be categorized into one of the specialist activities by applying classification techniques. An overview of anomaly detection is provided in this article, with a focus on applications related to banking operations. A wide range of stakeholders, including employees, clients, debtors, and outside parties, participate in or are impacted by the routine, recurrent, and ad hoc activities and transactions involved in banking operations. Although things could take time to work out, early detection can significantly reduce any potential bad effects and, in certain cases, even completely avoid them. Time series based anomaly detection is used to locate persons in undesired times. This paper identifies both common and uncommon events using an anomaly detection technique based on machine learning. The biometric identity of the face is captured and cross-referenced with faces of well-known criminals. If a match is found, it is easy to identify and capture the offenders

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 Keywords

Abnormal Event Detection, Movement Detection, Gaussian Mixture Model, Face Detection, Haar Cascade Algorithm, Criminal Detection, Alert Sending, Image Sharing through Email.

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The lives and health of those who depend on marine and coastal habitats are negatively impacted by oil spills, which also severely disrupt these ecosystems. On January 28, 2017, a significant oil leak had considerable effect on Chennai, an Indian coastal metropolis home to nearly 7 million people. Plenty of money is required to get clean from the destructive damages. Skimming is a popular and efficient way to remove oil from water surfaces fast, especially in emergency situations such as oil spills. These devices are made to draw in and gather floating oil while yet permitting water to flow through. Due to density difference, skimming is very reliable. In addition to lowering the risk to human life, it also lowers the cost of physical labor. Our device cleans wastes found, such as plastic wastes, wreaths, bottles, and other wastes found coasting on water. The instruments used for our plan are such that they collect the waste that glides on water bodies and that the collected waste can be efficiently arranged into the container. Plastics have the ability to disintegrate into smaller pieces, releasing potentially hazardous substances. In the study both serious problems were solved with the help of robots which have the capabilities of separating oil and water and collecting in the tank and also garbage collection in the other tank. Motors and electronic circuits have been moved to the platform to be dry and protected from the elements. Robot is controlled automatically by motor driver, Arduino, sun board, joystick(controller), etc. The robot prototype's ability to gather rubbish and return to the waypoint was demonstrated during testing.

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 Keywords

Oil spill, skimming, density difference, garbage collector, tank, sun board.

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 Abstract

: Nowadays we know that many people have problems. The statistics of homelessness, hunger and lack of daily needs in childcare centres are increasing day by day. By providing this platform, we are trying to solve these issues faced. Here, in this Web Application donors, NGOs and Fundraiser will be at the same place. From the list of NGOs listed in the system, donors can select the organization to which they wish to make a donation. Donor can to that by just clicking on a single "Make a Donation" button. There are currently many fraud issues with donors wishing to donate for NGOs. Some unscrupulous people will admit that they donate to the needy, but all these donations are used for their own pleasure. Donors can now simply donate anything without worrying about their money or donations going to the incorrect location thanks to the provision of this method. This platform not only makes it easy to receive donations from donors, but also makes it easier for NGOs and Fundraiser to receive donation from donors without waiting, because the system gives the date and time donation done to the respective individual or NGO.

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Online, charity, donation, platform

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In the present study, class room competency scale has been constructed and standardized of the secondary school teachers This scale consists of 65 statements. The purposive technique was used for this study. The sample used by the developer of the scale was a BEd trained teacher working in a school in Madhya Pradesh.130 gave their feedback

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teaching competency

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Abstract As DR. BR. Ambedakr says, a society's status is measured based on the development of women. India is the country of largest democracy of the world. The Kuda Volai Murai was in practice in the Indian State of Tamilnadu. Despite it, there were no women participation in the governing council. Now India has the largest written constitution in the world. The supreme court of India is protector of the Preamble of Constitution. It empower all its citizens irrespective of their background. In this article I would like to discuss about the role of the Indian Constitution and Empowering Women. I chose this topic because it is need of time. It is only through the constitution women became powerful and privileged to enjoy their basic rights. It brought a lot of changes in their lives. They become independent of financial needs because they started to earn for living. It brought a great status among society. As Virginia Woolf says, women must start earning. So they can stand themselves in the lives. So I would discuss about the constitution and some laws related to women and children. Besides, I further discuss about women should know the basic rights the Constitution provides to them.

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 Keywords

Key words India, constitution, law , women, society

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Creative Commons Attribution 4.0 and The Open Definition