Volume 12 | Issue 3 |

 Abstract

Face detection, a process of identifying faces within video content, has traditionally faced limitations in precision. Leveraging big data techniques can enhance speed and efficiency. Employing Apache Spark, capable of running among several nodes simultaneously, facilitates the conversion of individual video frames into an analyzable format. Utilizing the YOLO Face Detection model, rooted in deep learning, enables the detection of faces within each frame. Deep Face will then be utilized to pinpoint the target face and extract all instances across multiple frames for monitoring purposes.

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 Keywords

Apache Spark, Big Data, Computer Vision, Deep Face, Face Detection, YOLOv8

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The establishment of Congress dominance over the Odia political scene in 1920 precipitated a shift towards nationalism in Odisha. Initially the Sammilani justified its abstinence from anti-colonial politics by arguing that there was no need to politically oppose the colonial state as long as it was fulfilling its responsibilities properly. However, despite its best efforts, this attempt to affirm politics as governance remained riddled with contradictions. This nationalization of regional politics could not have been brought about without the intervention of a new breed of Odia intelligentsia led by Gopabandhu Das. Gopabandhu's speech was not only the harbinger of the changes in Odisha politics but also the most sustained and representative statement of the changing attitude towards political activism, the colonial government and the Indian National Congress in Odisha.

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Utkala Sammilani, Utkala Sahitya, Desha Misrana Andolana, Rachanabali

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A Chronic eye disorder called glaucoma leading to irreversible blindness by damaging the optic nerve of the eye. It is provoked due to exalted intraocular pressure inside the eye. Detecting glaucoma is the most challenging process in case of open angle glaucoma (OAG) due to lack of initial symptoms. Detecting glaucoma in the early stage is required to facilitate appropriate monitoring, treatment, and to diminish the likelihood of vision loss. In this paper, we propose a method to analyse and categorize the fundus image as glaucomatous or healthy image by employing image processing techniques to take into account the cup to disc ratio and feature extracted through Deep learning. The first step in identifying glaucoma is to measure CDR, which rises from 0.6 to 0.9 in cases of the condition. The Deep Learning-Convolution neural network model is used to automate the glaucoma diagnostic procedure and take into account additional medical data. Overfitting is avoided by adopting data augmentation technique. To make the system user friendly and interactive Graphical user interface (GUI) application is developed. The system is trained, and the outcomes show that the method performed well in categorizing the fundus images as healthy or glaucoma.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Glaucoma, Fundus images, Open angle glaucoma (OAG), Cup to disc ratio (CDR), Graphical User Interface (GUI), convolutional neural networks, and deep learning methods.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

An inclusive workplace provides a platform to everyone, irrespective of their type of disability whether visible or invisible. It values their employees for the strengths they have in their area of expertise. An inclusive workplace values all employees for their strengths. It offers employees with disabilities -- whether visible or invisible -- an equal opportunity to succeed, to learn, to be compensated fairly, and to advance. True inclusion is about embracing difference. This paper focuses on understanding the literature studies at different timeframes. The studies published during 2013- 2023 are reviewed and summarized. The findings are reported in the study.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Inclusiveness, Disabled Persons, Differently abled

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Creative Commons Attribution 4.0 and The Open Definition

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Women's Education become an Important Consideration for both Government and Civil society in any country's all round Development. Education of women plays a crucial role.

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Education Passion Landmark Empowerment Strength

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Creative Commons Attribution 4.0 and The Open Definition

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The implications of the Government of India's monetary policies on farmers have been a subject of intense scrutiny and debate in the past four years. This research paper focuses on the soft commodity market, specifically targeting agricultural produce. The study aims to evaluate the extent of the benefit of the new Agriculture reforms and Farm Bills and suggest alternative sources of income for the farmers of India. Secondly, this study analyzes the price of commodities (wheat, rice, cotton, mustard, pearl millet, pigeon pea) at which the farmers can sell their produce in APMCs and to what extent MSP is being followed by the traders and buyers of a farmer's produce. By exploring alternative income sources, the research paper proposes strategies to empower farmers and enhance their economic resilience. The research adopts a mixed-method approach to achieve these objectives, combining quantitative analysis of agricultural data and commodity market trends and qualitative insights gathered through questionnaires (from Punjab, Haryana, Rajasthan, Gujarat, MP, Maharashtra, UP, Bihar, Jharkhand, Telangana, Tamil Nadu), and expert perspectives. The results of this study show more exploitation than benefits brought down by the new monetary policies for the farmers and their dissatisfaction with the current MSP. The study analysis shows unfair policies against the farmers and more power to traders and big companies. This research also highlights the awareness level of different government schemes and policies among the farmers surveyed.

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 Keywords

Commodity Market, APMC yard, Farmer Bill, Monetary policy, Minimum Support Price, Farmer Distress, PM KISAN

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Creative Commons Attribution 4.0 and The Open Definition

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This study focuses on Arun Ice Creams' branding strategy and its impact on customer behaviour in Coimbatore city. The study emphasizes the importance of marketing techniques in determining consumer preferences and purchase decisions. The study conducts an in-depth study of several aspects of Arun Ice Creams' marketing strategy, such as product variety, branding, advertising, distribution, and pricing. Furthermore, the study investigates how these techniques influence customer behaviour, such as brand loyalty, purchasing decisions, psychological responses and social influence. By focusing on Coimbatore city, this study gives useful insights into the efficiency of Arun Ice Cream's marketing strategy and the impact on consumer behaviour in the local market.

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Creative Commons Attribution 4.0 and The Open Definition

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Market strategy, Consumer behaviour and satisfaction level.

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Creative Commons Attribution 4.0 and The Open Definition

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This study examines how Mahindra and Mahindra, a major company in India with interests in automotive, farm equipment, aerospace, and finance, is performing financially. We analyse key financial indicators like profitability, liquidity, efficiency, and solvency over a specific period. Using both numbers and explanations, we aim to understand the company's financial health, identifying its strengths, weaknesses, opportunities, and threats in the ever-changing business environment. Additionally, we explore external factors influencing Mahindra and Mahindra's financial performance, such as market trends, competition, economic conditions, and strategic decisions. The study's insights are expected to help stakeholders make informed decisions regarding investment, strategy, and risk management.

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Liquidity ratio, Profitability ratio.

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Creative Commons Attribution 4.0 and The Open Definition

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Forest fires ar? on? of the most common disasters occurring during th? dry season. Fir?s contain a vari?ty of potential hazards for humans and property and th? environment. Smart Forest is a comprehensive solution for forest fire pr?v?ntion and safety. Smart Forest Syst?m designed for early detection of forest fires an effective forest management. Th? system comprises Arduino based slave node ?quipp?d with s?nsors for environmental monitoring and smok? d?t?ction and motion s?nsing and fir? d?t?ction. Utilizing Zigb?? communication technology and th?s? slav? nod? wir?l?ssly transmit data to a mast?r nod? and which consolidates th? information and incorporat?s additional f?atur?s lik? GPS location tracking and motion s?nsing. Int?gration with a GSM modul? ?nabl?s imm?diat? SMS alerts for d?t?ct?d fir?s and nod? fall d?t?ction and facilitating rapid r?spons? from for?st authoriti?s. Cloud int?gration with Thingsp?ak ?nabl?s r?al tim? data visualization and analysis. Sustainability is ?nsur?d through solar pan?l pow?r?d nod?s conn?ct?d to a charger modul? for continuous op?ration and making th? syst?m an ?ffici?nt and ?co fri?ndly solution for for?st surv?illanc?.

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Zigbee Technology, GSM & GPS Module, Cloud Integration, Early Detection, Wireless Communication.

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Creative Commons Attribution 4.0 and The Open Definition

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In today's world of IT innovations, Big Data has and Analytics has revolutionized the Banking and Finance sector by offering valuable insights, streamlining operations, and improved decision-making processes. It involves use of various tools, techniques and methodologies to extract valuable insights from data, allowing organizations to make informed choices and gain a competitive advantage. Despite the promising potential of data analytics, the ethical implication and privacy concern surrounding the use of data analytics has not reduced significantly. Hence this research makes an attempt to gather primary data through interviews with industry experts, while secondary data sourced from scholarly articles, reports, and existing databases and aims to shed light on the following aspects: o Investigate comprehensive study on data analytics in financial sector. o Investigate privacy concerns arising from data analytics implementation. o Factors influencing customer perception and how these concerns can be mitigated to enhance effectiveness of data security

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Data Analytics, Privacy concern, Data security, Fraud detection, Risk mitigation, big data

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Creative Commons Attribution 4.0 and The Open Definition