Volume 12 | Issue 4

 Abstract

Abstract: Every aspect of human existence now has a digital component because to information technology. This, along with the advent of contemporary digital marketing, also altered traditional marketing. The new marketing strategies, which make use of a variety of digital and IT-based tools and approaches, drastically alter marketing operations for both customers and sellers. The goal of this article is to determine and assess the many facets of digital marking practices in connection to consumers of mobile handsets. This study's primary goal is to look into how digital marketing practices affect mobile phone purchasers' purchasing decisions and experiences, which are incentivized and fulfilled by these practices.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: mobile phones/handsets, digital marketing, customer behavior, and IT (information technology

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mergers and Acquisitions is considered as one of the strategies for growth which have emerged as a natural process of business restructuring throughout the world. Companies intensely working in competitive business environment have to change fast as per the evolving dynamics in their industry of operation. The principal benefits from mergers and acquisitions can be listed as increased value generation, increase in cost efficiency and increase in market share. Mergers and Acquisitions may generate tax gains, can increase revenue and can reduce the cost of capital. Mergers and Acquisitions have gone up manifold with unprecedented pressure because of falling margins leading to an unparalleled restructuring in the manufacturing sector- RELIANCE INDUSTRIES LTD and RELIANCE PETROCHEM LTD is experiencing a continuing mind-boggling figure of combinations. The present study is an attempt to find out the difference in post-merger financial performance compared with pre merger in terms of profitability and generating more value than the separate firms, resulting in consolidation, refocusing and restructuring of the industry with a motive of faster mechanism. Mergers result in the combination of two or more companies into one, wherein merging entities lose their identities. No fresh investment is made through this process. However, an exchange of shares takes place between the entities involved in such process. Generally, the company that survives is the buyer which retains its identity and the seller company is extinguished. Horizontal Merger: A horizontal merger occurs when two companies operating in the same industry and at the same stage of production combine their businesses. The aim is to achieve economies of scale, increase market share, reduce competition, and enhance overall profitability. For example, if two automobile manufacturers merge, it would be considered a horizontal merger. Vertical Merger: A vertical merger takes place when two companies operating at different stages of the supply chain or production process merge together. This type of merger aims to improve efficiency, streamline operations, and gain greater control over the supply chain. For instance, if an automobile manufacturer merges with a tire manufacturer, it would be a vertical merger. Conglomerate Merger: A conglomerate merger occurs when two companies operating in unrelated industries or with diverse product lines merge together.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial Analysis

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In an age marked by rapid technological advancement, seamlessly integrating new technologies with existing infrastructure is crucial. One notable effort in this direction focuses on enhancing data access, optimization, and organization by merging traditional technology with cutting-edge concepts. This start-up specializes in big data analytics and edge computing, aiming to shape a brighter future. Security concerns, particularly in areas with abandoned properties due to demanding responsibilities, are paramount. To address this, CCTV cameras are widely deployed to safeguard homes during owners' absence. Additionally, in smart cities, surveillance cameras play a vital role in collecting evidence for crime prevention and investigation. This project introduces a novel surveillance approach that combines conventional video monitoring with advanced motion-based sensing technology. Unlike typical systems that merely record footage, the proposed system utilizes sensor cameras to identify and analyze visible object motion, facilitating proactive responses to potential security threats. Its ability to capture only moving frames through motion detection represents a significant breakthrough, optimizing system resources. By integrating prior background intensity inference into frame analysis, the system enhances its ability to detect and respond to physical movements accurately. This research and development initiative not only advances security systems but also showcases the successful fusion of traditional and modern technology to tackle contemporary challenges. The suggested motion-based surveillance system presents a viable alternative for efficient and resourceful security monitoring in both residential and urban environments.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Surveillance Systems, Motion-Based Surveillance, Security Threats, Smart Cities, Optimization, Edge Computing.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study explores Secure Multi-party Computation (SMPC), a crucial cryptographic method that protects data privacy by allowing several parties to work together to calculate functions over their data without revealing each party's unique inputs. The investigation of SMPC's theoretical foundations, such as its algorithmic procedures and cryptographic techniques that protect private data during shared computations, is essential to this work. In cross-institutional medical research, where data privacy is crucial, the study focuses on the practical applications of SMPC in diverse disciplines. By means of comparative analysis, the effectiveness of SMPC is assessed in relation to alternative privacy-preserving technologies, underscoring its distinct potential to enable cooperative data analysis while maintaining data confidentiality. Case studies illustrating SMPC's practical applications are included in the research, along with an analysis of the difficulties and solutions encountered during deployment. Also the study also looks at SMPC's security and privacy features, assessing how resilient it is to possible privacy violations and data breaches. With a forward-looking conclusion, the paper highlights the chances and problems facing SMPC going forward and argues for its critical role in promoting privacy-preserving data analysis in the face of increasing demands for data sharing.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Secure Multi Party Computation(SMPC), Cryptography, Cyber Security

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This essay aims to provide a thorough analysis of the issue of cultural hybridity in the Indian Diasporic novels of authors Anita Desai and Jhumpa Lahiri. This essay examines the two works in-depth, comparing and contrasting them. The selected primary texts are Desai's "Journey to Ithaca" and Jhumpa Lahiri's "Namesake." The concepts of a diasporic novel are explored in both of these books, with cultural hybridity being one of several topics that are highlighted. The characters' journeys in both books take us through their struggles and experiences as they leave their home country and transition into new cultural identities. The study examines how characters' cultural identities are shaped by hybrid environments and cultural crossovers. In order to facilitate a thorough examination of the themes, characters, and places in "The Namesake" and "Journey to Ithaca," this article offers a framework for examining cultural hybridity in these two works.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaspora, Self Discovery, Self Identity, Identity Crises, Cultural Hybridity, Cultural Identities, Traditions, Multiculturalism, Indian Diasporic Literature

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project develops an Android application for Smart Farming using artificial intelligence which provides solution that seamlessly integrates advanced technologies to revolutionize traditional farming practices. Leveraging the power of artificial intelligence, this application aims to optimize agricultural processes, enhance productivity, and ensure sustainable farming practices. Through real-time data collection and analysis, the app empowers farmers with actionable insights and automated decision-making capabilities. The integration of deep learning algorithms enables the application to adapt and evolve, continuously improving its ability to provide personalized recommendations for crop management and farming practices. With a user-friendly interface, the Smart Farm app serves as a comprehensive tool for farmers, offering remote monitoring and crop health assessments. The application utilizes a vast database of annotated images of various crop diseases, allowing the AI model to accurately identify and classify diseases affecting crops. Farmers can simply capture images of diseased plants using their smartphone cameras, and the application will provide instant analysis, helping farmers take prompt and targeted actions to mitigate the impact of diseases on their crops.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

TECH-DRIVEN CROP YIELD OPTIMIZATION

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The stability of a company's financial position is linked to its fundamentals. The fundamentals offer details about a company. A company's fundamentals are strong if it is growing profitably, at a healthy rate, has few debts, and has adequate cash on hand. To ascertain a company's fundamentals, one must do a thorough analysis of its financial statements rather than concentrating on the day-to-day variations in its stock price. Equity researchers usually utilize fundamental analysis to ascertain the intrinsic value of a company's shares. If the stock of a corporation trades for more than its fair value or intrinsic value, it is overvalued. If the price of a stock is lower than its intrinsic worth, it is considered undervalued. Nonetheless, the bulk of firms' share prices if you closely monitor the stock markets, it never aligns with the fair value. Day traders and other investors who want short-term investing opportunities often invest in those stocks regardless of the companies' long-term growth prospects. However, long-term investors usually ignore short-term share price volatility and choose to invest in companies with solid fundamentals. a variety of ratios, including gross profit, quick, debt-to-equity, and current ratios.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

analysis, intrinsic value, stock market, share price, current ratio, and gross profit ratio all type of ratio include

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A country with an ever-booming economy such as India, requires a well-developed and efficient transport system. With road transport remaining the primary mode of transport for most of India's businesses and citizens, it is crucial to have a technological emergency response system that can help to aid and mitigate road accidents. In this project, we bring forth an advanced Accident Detection and Alert System (ADAS) that uses the leading-edge YOLO (You Only Look Once) V8 algorithm, which can analyze the video footage captured by AI traffic cameras that are deployed across the Indian roadways. This algorithm has been trained to detect incidents such as vehicle crashes during mobile road traffic. Upon identifying an accident, the system promptly triggers an SMS alert message with the help of a cloud communication platform (Twilio) to relevant contact numbers such as contact numbers of emergency response departments like the police force, fire and safety, and ambulance services.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Accident detection, YOLOv8, Twilio, SMS alert, Object Detection

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Textile waste is one of the significant environmental concerns, as discarded textiles often end up in landfills, contributing to pollution. Every year, India accumulates around 7,793 kilotons of textile waste, with approximately 51% coming from consumer usage, 42% from manufacturing leftovers, and 7% from imported sources. This paper develop an innovative process by transforming post-consumer textile waste into high-quality resin-based consumer goods in the category of Accessories and Home décor products. The abstract focuses on post-consumer textile waste in the context of the 17 Sustainable Development Goals (SDGs) and also explores strategies to address these challenges, including recycling and up-cycling. By following the SDGs, we can work towards reducing the environmental impact of textile waste while promoting sustainable economic growth and social well-being.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Sustainability, Post – consumer waste, Accessories, Home décor, Entrepreneurship.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This paper offers a thorough comparison of machine learning algorithms for congestion detection in Flying Ad Hoc Networks (FANETs). The study seeks to pinpoint the most effective algorithm in terms of accuracy, efficiency, and applicability within the dynamic environment of FANETs. Prominent algorithms - Support Vector Machines (SVM), Random Forest, Neural Networks, and k-nearest neighbours (k-NN) are meticulously evaluated using a FANETs-specific benchmark dataset. The research navigates the unique challenges of congestion in FANETs, selecting algorithms tailored to their potential efficacy in this distinctive context. The methodology involves standardized performance metrics, including accuracy, precision, recall, and F1 score. Mathematical formulations of each algorithm and experimental results are presented concisely. Discussions highlight variations in accuracy, offering insights into algorithm suitability for FANETs congestion detection. The comparative analysis considers algorithmic strengths, weaknesses, and computational efficiency, supported by visual representations. This study provides valuable guidance for selecting machine learning algorithms aptly suited to address congestion challenges in FANETs.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

FANET, Congestion detection, ML Algorithms, accuracy, F1 score

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the ever-evolving landscape of advertising, the ability to forge deep emotional connections with consumers has emerged as a pivotal factor in the success of marketing campaigns. This comprehensive project, titled "A Study Project of Dairy Milk Advertisements Connecting Emotionally with Its Customers in India," delves into the fascinating world of Cadbury Dairy Milk advertisements and their remarkable capacity to resonate with the hearts and minds of Indian consumers. Within these pages, we embark on a journey to unravel the strategies, narratives, and creative elements that have enabled this iconic brand to carve a lasting place in the emotional fabric of India. Through meticulous research, critical analysis, and insightful findings, this report offers a comprehensive exploration of how Dairy Milk advertisements have leveraged emotional storytelling to not just sell chocolates but to become an enduring part of India's cultural tapestry.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Emotional Marketing, Confectionery Industry, Consumer Emotions, Marketing Strategies, Emotional Appeal

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The stock market is a crucial component of any economy in the world. It is a way for companies to gain capital for its day to day functions. It enables stock brokers to trade securities, bonds and equities in a market. Once a share is listed on the stock market, it can be bought and sold by traders, investors or the general public. Recently, a lot of work has been done to predict the movement of the market. Forecasting the movement of the stock market is gaining momentum among various researchers, investing communities and enthusiasts as it provides better guidance with respect to investing. Predictability is one of the major factors which, the profitability of trading in stock and investing is dependent on. The profits earned by investment and trading in the stock market depend on the predictability of the stock, to a large extent. If any system is developed which can consistently predict the trends of the dynamic stock market, would make the owner of the system wealthy. Moreover, the predicted trends of the market will help the regulators to make corrective measures to stabilize the market. Many expert practitioners and researchers have put forward several models using various technical, fundamental and analytical techniques to give a prediction on the stock market pattern. Stock prediction focuses on estimating the future price movement in a stock, which is generally perceived as a challenging task due to the non-stationarity and volatility of the stock data. Dynamic stock market price variation and its chaotic behavior have increased the price prediction problem.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial intelligence

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The five Japanese words Seiri (Sort), Seiton (Set in order), Seiso (Shine), Seiketsu (standardise), and Shitsuke are the roots of the systematic approach known as 5S. (sustain). In monitoring an organised environment, this system assists in organising a workplace for efficiency, reducing non- value-added operations, and improving quality and production. The goal of this paper is to review earlier research on the effectiveness and advantages of 5S implementation in businesses. The findings demonstrate that 5S is a powerful instrument for enhancing organisational performance regardless of the kind, size, production, or service of the business. So, the 5S approach would substantially support an organization's goals of achieving continual performance and productivity development. 5S is a method of quality improvement. The 5 (Seiri, Seiton, Seiso, Seiketsu and Shitsuke) techniques greatly support a small business's primary goal of achieving continuous improvement and higher performance. In a production environment, implementing 5S can lead to significant improvements in performance as well as budget, health, and safety.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

5S, Seiri, Seiton, Seiso, Seiketsu, Shitsuke

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The JARVIS platform is an impressive example of how state-of-the-art technology can come together. It combines a beautiful graphical user interface (GUI), perfect voice command integration, and creative features like the OpenCV-powered "Air Canvas" functionality. With the aid of artificial intelligence, users may interact with this virtual assistant in a natural and intuitive way, doing tasks like online browsing, conversing with chatbots, and issuing dynamic voice commands. The system also has sophisticated features, such as extremely effective facial recognition and motion detection, which it achieved with an astounding 95% accuracy rate over several trials. Using computer vision, the Air Canvas feature enables users to express their creativity with smooth hand motions, and voice commands can handle a variety of tasks with efficiency. This innovative project presents a method to technology participation that is simple and user-friendly.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Air Canvas, Voice Assistant, Chat Bot, Motion Detector, Person Identification, AI tool Supporter.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This abstract delves into the intricate dynamics of Adivasi food practices in Sundargarh, examining their profound connection to culture, ecology, and resilience. Highlighting sustainable resource management and traditional knowledge, it explores how tribal communities cultivate a diverse array of foods, deeply rooted in their environment. Adivasi cuisine, characterized by seasonal variations and reliance on forest resources, serves as a vital expression of identity and community bonds. Yet, amidst the richness of tradition, contemporary challenges such as globalization and environmental degradation threaten these age-old practices. Initiatives like the Millet Mission aim to revive traditional knowledge and promote sustainability, offering hope for the future. By empowering communities to reclaim and celebrate their culinary heritage, this article also talks about cultural preservation. Ultimately, the study underscores the importance of preserving indigenous food systems for a brighter and more sustainable future.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Oraon (kurukh), Kisan (kunha), Tribal food practice, Ecology, Cultural Perpetuation, Adivasi.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract The relationship between Music and Religion is closely linked and is known as being a "complex and diverse" one. Music is commonly known for being a universal part of religion in a pleasurable way. For centuries music has been a huge part of the religious culture and has helped to 'promote' and 'influence' religion by engaging and embracing people in religion. An important reason why music is used in religion is to promote religious values by associating music with religious texts such as singing songs in God/s or Prophet/s names. Singing also shows a great deal of respect and appreciation for life and what happens after death depending on what you believe. Music is a universal medium used is almost all religions. There are many similarities in the ways it's incorporated into the religion as well as many differences. It is an essential and powerful element that enables worshippers to express their beliefs, their innermost thoughts and emotions. Music, when used sensitively, can create an atmosphere of worship, though if it is used insensitively the atmosphere can be destroyed. Composing music, taking part in the performance or simply listening and reflecting evokes a sense of spirituality. This paper tries to discuss on the Intimate Relationship between Music and Religion.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key word: Complex, diverse, promote, influence, music and religion

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Artificial intelligence age predictions can be used in many fields, such as smart human-machine interface growth, health, cosmetics, electronic commerce etc. The prediction of people's sex and age from their facial images is an ongoing and active problem of research. The massive use of the social media and the huge number of messages that are shared on the internet, create a countless need to automatically detect the age and gender of the people who write the messages. In this research, face images of individuals have been trained with coevolutionary neural networks, and age and sex with a high rate of success have been predicted. The images cover a wide range of poses, facial expression, lighting, occlusion, and resolution.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Age; Machine Learning; Deep Learning; facial recognition; features extraction; image processing

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In the dynamic world we inhabit today, traditional notions of masculinity are being challenged and redefined. Anita Nair, a renowned Indian author, explores this theme in her novels. Through her profound character development, Nair presents a thought-provoking analysis of how individuals are breaking free from traditional male roles and societal expectations to embrace a redefined masculinity that is androgynous and fulfilling in nature. Men, as seen in Nair's novels, at times contradicted their upbringing, and began to explore new ways of being masculine that is not oppressive towards women and children. In this regard, Nair encourages men and women to become partners and allies to each other, promoting mutual respect, support.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Masculinity, Gender, Stereotype

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Detection of fake news on social media is a significant concern due to potential societal and national consequences. This paper introduces TruthGuard, a groundbreaking solution utilizing Natural Language Processing (NLP) to combat the rampant spread of fake news on social media platforms. The main goal is to identify the most effective machine learning model for accurately classifying news articles and social media posts as true or false. The methodology involves Python's scikit-learn, focusing on feature extraction and vectorization with tools like Count Vectorizer and Tfidf Vectorizer. The proposed system creates a special webpage and a Chrome extension for browsing with smart tools, integrating APIs for real-time fake news detection.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake news, Social media, Natural Language Processing (NLP), Machine learning, Count Vectorizer, Tfidf Vectorizer, TruthGuard, Chrome extension, API integration, Real-time detection.

  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

Cyber Crimes, Cyber crime against women, Cyber stalking, Cyber defamation, Cyber trolling, Cyber pornography, Cyber bullying, Cyber grooming, Cyber phishing

  License

Creative Commons Attribution 4.0 and The Open Definition