Volume 12 | Issue 4 |

 Abstract

This study introduces an innovative approach to predict lung cancer using homomorphic encryption and a Convolutional Neural Network (CNN) model Lung cancer stands as a prominent cause of cancer-related fatalities globally.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CNN(Convolutional Neural Network),HE(Homomorphic Encryption).

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cookies are popular snacks widely consume all over the world by all age group people. The major attraction of cookies is that it is produced in wide variety. Green gram is also rich in vitamin A, B1, B2 and Niacin, Vitamin C, calcium, phosphorous. Our study was focused on utilization of green gram in cookies could avail the consumers a protein rich food products. Refined wheat flour, Green Gram flour, sugar, olive oil, baking powder were used for prepared the Green gram flour was produced and make a different ratio 50 percent C1 and 75 C2 percent green gram flour mixed with wheat flour. The ratio of C1 is more acceptable than C2 on the basis of sensory evaluation. It can be concluded that Green Gram bean cookies is good option for supplementation of protein.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

: Cookies, Green gram, malnutrition, Sensory evaluation

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

We use our imaginations in recovering and reusing textile waste in different ways, so it's essentially a celebration of expressing ourselves. Making waste tissue look good can be a challenge. Cutting scraps of fabric and who wants a chance to bring them back to life? This research targets available clothing materials as a kind of finished fabric product. It connects with the characters of the clothing style and uses innovative design thought and craftsmanship to further change the available style of fabric appearance. Creating for a second life by repurposing, reconstructing, recutting and adding decorative elements (embroidery, stitching, threads, crochet techniques, mirror work and etching) to transform the original appearance for a new fashion trend. In the textile and clothing industry, the waste generated by the industry has become an important factor in the increasing cost of waste management and its image. Various useful materials can be recreated from this waste through innovative ideas and processing. In the following study, 30 high-value upcycled fashion and home accessories designs were enhanced from textile offcuts generated during the manufacturing and sewing process of fashion accessory products. The designs resulting from the following study were evaluated for consumer acceptance.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

upcycling, industrial fabric cutting, fashion and home accessories, design, added value

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The 18th and 19th centuries Industrial Revolution significantly changed societies, economies, and the overall global order. While rapid technological progress, urbanization, and the development of capitalism improved standards of living and economies of many countries, it also demonstrated the devastating effects of the unregulated industrial process such as social inequality, labor rights violation, and environmental destruction. This dissertation explores the lessons learned from the Industrial Revolution and their enduring relevance in today's socio-economic contexts. It highlights the importance of balancing technological progress with ethical considerations and social responsibility. As modern societies continue to experience technological advancements and automation, it is essential to ensure that these developments benefit society as a whole and address concerns such as labor practices, exploitation, and social inequalities. Furthermore, the industrial revolution stressed both the aspects of sustainable development and green technologies as the environmental issue derived during that period forces us to adopt green technologies with the focus of sustainable development. Attaining the right balance of economic growth in the present while still not compromising the future of the upcoming generations is imperative through wise utilization of environmental resources. The dissertation also emphasizes the enduring relevance of the debates surrounding social justice, labor rights, and the role of technology in shaping future societies. The emergence of labor movements and advocacy for workers' rights during the Industrial Revolution continue to resonate today as we grapple with economic inequality and the evolving nature of work in the modern gig economy. By drawing insights from the successes and shortcomings of the Industrial Revolution, this article seeks to provide guidance for navigating the complexities of contemporary socio-economic landscapes.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Labor, social, industrialization

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

"Job satisfaction is explained as the level of contentedness that employees have with their jobs." This study is conducted with the aim of exploring the linkage that inhere between Intrinsic and Extrinsic Factors and Job satisfaction, which is specifically conducted to address the outcome by employees working individuals in Private sector especially Electronic and Home appliances retail stores in Thanjavur district, Tamil Nadu. The main goal of the study is to enumerate the association between Intrinsic and Extrinsic factors and Job satisfaction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Job satisfaction, Intrinsic and Extrinsic factors, Employee loyalty, Quitting Intention.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

IoT is an extensively used technology moment. In metropolitan areas, chancing a suitable parking system has come an important issue. In present era, traditional parking systems are less efficient and effective. Parking space tracking is an essential component. Finding a parking space is a critical challenge, notably for users who want to park their car in a densely populated area. The conventional method of finding a parking space is to look for an empty spot on your own. This fills up more time and energy for users and ended up causing congestion. This paper proposes an intelligent parking system that detects and locates consumer vehicle parking positions as well as detects obstacles in parking lanes. The system detects vehicles in the parking lot and detects obstacles in the parking lane using Arduino, infrared, and ultrasonic sensors. Use a Wi-Fi module with a local Wi-Fi connection to update lane busy/empty via the obtained IP address.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Internet of Things, RFID, Arduino, GSM Module, IR Sensor

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Menopause is a phase of life surrounded by myths and taboos, where women spend a significant portion of their lives. While some women tolerate menopausal symptoms well, others find them troublesome, impacting their overall quality of life. Severe symptoms can significantly compromise the well-being of those affected. In India, many times women do not talk about all their symptoms because of cultural beliefs and social norms. This can lead to a lack of complete information about their health when seeking medical help. A study conducted in various areas of Cuttack, Odisha aimed to compare the health-related quality of life between pre- and post-menopausal women aged 45-49 and 50-54. Interestingly, the research revealed that pre-menopausal women had a better health-related quality of life compared to those in the post-menopausal stage. These findings shed light on the various factors influencing women's quality of life during different stages of menopause, offering valuable insights into this aspect of women's health.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Menopause, taboos, symptoms, well-being.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Speech-to-text transcription model: We've developed an innovative approach to transcribe spoken language into text using deep learning techniques. Our model harnesses the power of Convolutional Neural Networks (CNNs) to process audio data, extracting vital features via Mel-frequency cepstral coefficients (MFCCs). Trained on a dataset of English audio samples, our model achieves impressive accuracy in converting speech to text, offering valuable applications across various fields. Additionally, it enhances accessibility by enabling easier access to written content for visually impaired individuals. Through meticulous evaluation, we validate the effectiveness of our approach, highlighting its potential to revolutionize audio transcription technology.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Speech-to-text, deep learning, Convolutional Neural Networks, MFCCs, transcription technology

  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

NDEX TERMS- Review , jurisdiction, re-examination, implications, Arbitral Tribunal etc.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Our forthcoming review paper meticulously examines the far-reaching consequences of AI advancements into domains of art and photography, emphasizing their profound impacts on both photographers and broader society. As we delve deep into this dynamic evolution, a central focus emerges on the vulnerability of photographers in the face of widespread dissemination through platforms like Instagram and Pinterest, leading to potential intellectual property theft. In response to these challenges, our review is not merely an analysis but a strategic guide for photographers, tailored to empower them in this transformative era. Through methodical research, we illuminate the intricate interplay of AI, camera accessibility, and the social media landscape, offering profound insights and actionable solutions. This strategic approach equips photographers with the tools they need to safeguard their creations and flourish amidst the evolving landscape. Moreover, we have taken a proactive step to address the issues of camera ubiquity and AI integration by creating a dedicated website/portal. This platform not only provides resources and guidance for photographers but also features a hiring portal, allowing users to effortlessly hire photographers with just a few clicks. Join us on this journey as we navigate the complexities of contemporary photography and chart a course towards professional resilience and creative fulfillment.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shutter Spaces, shutterspaces, photography, events, photographer hiring, image portal, blogging, MERN stack

  License

Creative Commons Attribution 4.0 and The Open Definition