Volume 12 | Issue 4 |

 Abstract

The Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS) has been a cornerstone of India's rural development strategy, aimed at providing livelihood security to rural households through guaranteed wage employment. This study focuses on evaluating the impact of MGNREGS in Tamil Nadu, with a special reference to Tirupur district. Through extensive data collection and analysis, including surveys, interviews, and secondary sources, the study examines various dimensions of the scheme's implementation and its effects on socio-economic indicators in the region. Findings suggest that MGNREGS has significantly contributed to enhancing income levels, reducing poverty, and empowering marginalized communities in Tirupur district. Moreover, the scheme has played a crucial role in creating rural infrastructure, fostering social inclusion, and mitigating distress migration. However, challenges such as administrative inefficiencies, delayed payments, and lack of awareness persist, hindering the scheme's full potential. The study underscores the importance of addressing these issues to optimize the benefits of MGNREGS, ensuring sustainable rural development and inclusive growth in Tamil Nadu, particularly in districts like Tirupur.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mahatma Gandhi National Rural Employment Guarantee Scheme (MGNREGS), Tamil Nadu, Tirupur district, impact assessment, socio-economic development, rural empowerment, poverty alleviation, infrastructure, migration, administrative challenge.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project is an idea to prevent bike theft and lost keys by using Bluetooth technology to integrate bikes with Arduino modules and mobile phones. When the user removes the key from the bike and the distance between the phone and the key exceeds a certain limit, the buzzer in the system will sound, thus we will receive a warning and the ignition system will turn off.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Arduino, Mobile Phone, Bluetooth, Buzzer, Ignition System

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In recent years, the rise of obesity and related health issues has sparked a growing interest in technologies aimed at promoting healthier eating habits. In this work, we propose a unique method that combines deep learning and image processing techniques to recognize food and estimate its calories. Our method integrates YOLO v8 for image segmentation and DenseNet 121 for image classification, enabling accurate identification and categorization of various food items from images. We propose a two-step process: first, employing YOLO v8 for precise segmentation of food items within images, and then utilizing DenseNet 121 to classify these segmented regions into specific food categories. This hierarchical approach allows for efficient processing and accurate recognition of diverse food types, overcoming challenges such as occlusion and varying image qualities. Furthermore, we discuss the implications of our approach in promoting healthier lifestyles through personalized dietary recommendations and calorie tracking. By providing users with accurate information about their food intake, out system empowers individuals to make informed decisions regarding their diet, ultimately contributing to improved health and well-being. Overall, our work contributes to the intersection of deep learning, image processing, and nutrition science, offering a scalable solution for automating food recognition and calorie estimation tasks.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Calorie Estimation, Food recognition, Image processing, Deep learning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A Study on Integrated Technology in Multiple Fitness Regimens in Selected Health Clubs in Coimbatore, This study explores the integration of technology within various fitness regimens offered in select health clubs in Coimbatore, India. With the burgeoning interest in health and fitness, there has been a parallel rise in the adoption of technological advancements to enhance workout experiences and outcomes. The methodology involves a mixed-methods approach, including both qualitative and quantitative techniques. Surveys and interviews will be conducted among health club members, trainers, and management staff to gather insights into the types of integrated technologies being used, their effectiveness, challenges faced in implementation, and overall satisfaction levels. Through a combination of qualitative and quantitative research methods, including surveys, interviews, and data analysis, this study seeks to explore the experiences of individuals who have availed of the integrated technologies in Selected Health Clubs in Coimbatore. Additionally, quantitative data will be collected to analyze the impact of integrated technology on various fitness parameters such as motivation, performance improvement, and overall health outcomes. This research aims to provide actionable recommendations to optimize the use of integrated technology in health clubs, thereby promoting healthier lifestyles and improved fitness outcomes among individuals in Coimbatore and beyond.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Integrated technology, Fitness Regimess, Health Clubs, Coimbatore

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nasal drug delivery, an ancient practice rediscovered in modern pharmaceuticals, offers a promising avenue for achieving rapid and enhanced drug absorption. Nasal drug delivery devices have undergone significant advancements in recent years, revitalizing this age-old method as a promising avenue for achieving rapid and enhanced systemic drug absorption. The nasal mucosa offers a prime administration route due to its permeability to a wide range of compounds, overcoming the limitations posed by the gastrointestinal tract. Recent research has highlighted the superior systemic bioavailability of various drugs administered nasally compared to traditional oral routes, thereby improving patient compliance and therapeutic outcomes. The growing preference for nasal drug delivery among patients and healthcare providers is evident, supported by specific guidelines from the World Health Organization for the safe adoption of new nasal delivery devices with single-use systems. This review explores the latest advancements in nasal drug delivery devices, including Vibrating mech nebulizer, dry powder inhalers, and powder spray devices, highlighting their potential to revolutionize drug therapy outcomes and patient care.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nasal drug delivery devices, bioavailability, nebulizer, inhalers

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Technology has geometrically progressed during the last few decades and subsequently artificial intelligence (AI) research reached new peak. India National strategy for artificial intelligence prepared by NITI Aayog has formulated the forwarded to harness the power of AI. Artificial intelligence (AI) practices and efforts benefit India in addressing societal needs in various areas including smart mobility and transportation using dynamic data. This AI can now be deployed in a variety of tasks and decision making to make better connectivity. Technology integration is emphasized in the National Education Policy-2020 (NEP-2020) of India as a means of transforming the educational system. One crucial area of focus is the application of AI to the NEP-2020. Within the NEP-2020 framework, this research study seeks to assess the advantages and drawbacks of adopting AI in education. Under the NEP-2020 framework, there are a lot of opportunities for using AI in education, but there are a lot of challenges as well. Issues with ethics, data security, and privacy, equity, teacher preparation and readiness, and infrastructural limitations are a few of these challenges. In this study popular articles published in recent years that related to artificial intelligence are selected and explored. The present paper aims to provide an overview of background of artificial intelligence, impact of AI in Education, One crucial area of focus is the application of AI to the NEP-2020. Within the NEP-2020 framework, this research study seeks to assess the advantages and drawbacks of adopting AI in education.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Key Words: Artificial intelligence, Artificial intelligence in Education, National Education Policy-2020, Pros and Cons.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study investigates how using lean manufacturing techniques like just-in-time, kaizen, value stream mapping, and Six Sigma affects the efficiency of textile companies. We surveyed textile professionals in Surat who practice lean manufacturing to gather data. Using SPSS software, we analyzed the data with multiple regression analysis to understand the relationship between these techniques and operational efficiency. Our research aims to add to the knowledge about lean manufacturing in the textile industry and provide useful insights for companies aiming to improve their efficiency.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Keywords: Textile industry, lean manufacturing, operational efficiency, just-in-time, kaizen, value stream mapping, Six Sigma, Surat, SPSS, multiple regression analysis.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Social engineering attacks have posed a serious security threat to cyberspace. However, there is much we have yet to know regarding what and how lead to the success of social engineering attacks. This paper proposes a conceptual model which provides an integrative and structural perspective to describe how social engineering attacks work. Three core entities (effect mechanism, human vulnerability and attack method) are identified to help the understanding of how social engineering attacks take effect. Then, beyond the familiar scope, we analyze and discuss the effect mechanisms involving 6 aspects (persuasion, social influence, cognition & attitude & behavior, trust and deception, language & thought & decision, emotion and decision-making) and the human vulnerabilities involving 6 aspects (cognition and knowledge, behavior and habit, emotions and feelings, human nature, personality traits, individual characters), respectively. Finally, 16 social engineering attack scenarios (including 13 attack methods) are presented to illustrate how these mechanisms, vulnerabilities and attack methods are used to explain the success of social engineering attacks. Besides, this paper offers lots of materials for security awareness training and future empirical research, and the model is also helpful to develop a domain ontology of social engineering in cybersecurity.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

In This project proposes a conceptual model which provides an integrative and structural perspective to help the understanding of how social engineering attacks work. Three core entities (effect mechanisms, human vulnerabilities and attack methods) to get an insight into how social engineering attacks take effect are analyzed and discussed. A total of 30C effect mechanisms and 40C human vulnerabilities are summarized. Finally, 16 social engineering attack scenarios (which contains 13 attack

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The aim of this paper is to empirically study how social media affect the decision-making processes of consumers. A quantitative survey examines how much experience changes with the help of social media. Opinions from customers on products and administrations are now more and more controlled by outsiders in the advanced space, which then affects the conclusion in the disconnected space. As purchasers drive a larger amount of the buying process through web-based social networking, marketers may exert control over the content, timing, and recurrence of online conversations amongst buyers. The outcome demonstrates social media use and that it impacts buyers' satisfaction at the evaluation of alternative and information search; the satisfaction intensifies as the consumer makes its progress through the process towards the decision of final purchase and post-purchase evaluation.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

social media, Consumer, Consumer Behaviour, Marketing, Consumer Decision Process, Purchase, Online sites

  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

?????? ????????, ?????? ???????? , ????? ???????? , ??????? ?????? ,????? ???????? l

  License

Creative Commons Attribution 4.0 and The Open Definition