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Research Paper

Automatic Rain Sensing Windows

The aim is to create an automatic rain-sensing window that closes when it rains. The concept of sensing rainwater to run a DC motor can be widely seen in the automobile industry. Wipers that start automatically after detecting rain are quite common in vehicles. However, not much research has been done regarding using this system for domestic use. By putting forward this idea we hope to incorporate these windows effectively in both homes and commercial buildings. Rain sensors, microcontrollers, DC motors, and Dual H-Bridge motor drivers are some of the components used in our work. The objective is to ensure that the technology behind these windows is reliable and increase the accuracy, accessibility, and dependability of the product by addressing any potential limitations or challenges that may arise. The aim is to create an automatic rain-sensing window that closes when it rains. The concept of sensing rainwater to run a DC motor can be widely seen in the automobile industry. Wipers that start automatically after detecting rain are quite common in vehicles. However, not much research has been done regarding using this system for domestic use. By putting forward this idea we hope to incorporate these windows effectively in both homes and commercial buildings. Rain sensors, Microcontroller, DC motor, and Dual H-Bridge motor driver are some of the components used in our work.

Published by: Shreya Vijay Wanwe, Vishnu R. Sonwane, Soniya P. Warade, Krupal V. Warale, Siddhant S. Wasnik, Vineet V. Wathurkar

Author: Shreya Vijay Wanwe

Paper ID: V10I3-1186

Paper Status: published

Published: June 14, 2024

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Research Paper

Immediate loading of dental implants placed with Osseodensification technique in Maxillary Posterior region of jaw

Implant placement and immediate loading in maxillary posterior has always been a challenge because of various conditions like less dense bone, etc. Osseodensification has proven to be a superior technique to improve the overall success rate of implant restorations. This study is done on 28 patients with maxillary posterior missing tooth (n=14 each). The implant stability (using RFA method) and crestal bone levels are evaluated at the time of implant loading and at the end of 3 months. Osseodensification technique turns out to be the superior osteotomy preparation technique than conventional one in terms of stability and crestal bone loss in immediately loaded dental implants placed in maxillary posterior region.

Published by: Dr. Varsha Patil

Author: Dr. Varsha Patil

Paper ID: V10I3-1196

Paper Status: published

Published: June 10, 2024

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Research Paper

Artificial Intelligence with Special Perspective on Finance Industry

Alan Turing first asked, "Can machines think?" in the 1950s, and artificial intelligence has existed ever since. Siri and Alexa on Amazon are now well-known. But the finance sector was the one that swiftly caught up with it. Technology is evolving at a rapid pace, and artificial intelligence (AI) is leading this change in the financial services sector. This rise has accelerated recently due to the development of big data, cloud computing, creative hardware, and quicker special-purpose systems. Algo trading, fraud detection, chatbots, market and regulatory compliance, market effect research, and stress testing are just a few of the many uses of artificial intelligence that are widely employed today. Financial services personnel struggle with the technology's inherent problems as well as its prospective benefits as this huge transformation takes place.

Published by: Diva Chhabra

Author: Diva Chhabra

Paper ID: V10I3-1188

Paper Status: published

Published: June 7, 2024

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Research Paper

Peer Pressure and Decision-Making Among Adolescents: A Game Theory Perspective

Peer pressure is a critical factor affecting adolescents' choices, often leading to decisions that prioritize social conformity over personal benefit. A survey of adolescents (n=108, mean age=15.5 years) was administered to measure how peer pressure impacts decision-making in various social scenarios, particularly focusing on situations modeled by game theory concepts. The findings reveal that peer pressure significantly influences adolescents to make decisions that align with group expectations, even when such choices may not be individually optimal. The analysis indicates that students frequently choose to conform to peer expectations, which supports game theory predictions about cooperative and competitive behaviors in social dilemmas. The role of peer dynamics played in shaping adolescents’ decision-making process was suggested. The need for measures that can help adolescents develop better decision-making skills under peer pressure was highlighted. Valuable insight was provided for educators, parents, and policy-makers aiming to support adolescents in navigating complex social interactions.

Published by: Tejas Agarwal

Author: Tejas Agarwal

Paper ID: V10I3-1195

Paper Status: published

Published: June 6, 2024

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Research Paper

Respectful Maternity Care Practices During Labour Among Nursing Personnel

ABSTRACT Safe motherhood care is the right of every woman, and it is the responsibility of the welfare state to provide quality maternal health services. Respectful maternity care (RMC) is not only a quality indicator of maternity care, but it also assures that all childbearing women's essential human rights are protected. Methods: A cross-sectional study was conducted to assess the Respectful Maternity Care Practices during labor among 60 nursing personnel from maternity centers who were selected by consecutive sampling technique. The data was collected by observation method, using pretested and validated tools such as background variables proforma of nursing personnel and standardized white ribbon Alliance Charter on Respectful Maternity Care during labor. Results: The findings revealed that 96.7% of the nursing personnel exhibited moderately adequate practice in respectful maternity care. The global mean practice score was 30.60/52 ± 2.76 (58.84%). There was a significant association between selected background variables—age, years of experience, marital status, number of children—and the practice of nursing personnel on respectful maternity care (RMC) during labor (p < 0.05).Conclusion: Implementation of Respectful Maternity Care needs and change of attitudes of nursing personnel who render care during childbirth will address the issue of disrespect and abuse towards women and provide happy and fulfilling experiences for all women during labor.

Published by: Pandiselvi, Dr.K.Vijayalakshmi, Dr.S.Vasantha

Author: Pandiselvi

Paper ID: V10I3-1190

Paper Status: published

Published: June 5, 2024

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Research Paper

Applying Semantic Analysis and Machine Learning to Develop Recommendation System

Completing elective courses at university has an important role on the career path of the future specialists. Making decision to study courses that cover certain skills and technologies directly influences on receiving job offer after graduation. Despite high level of importance of this topic, there is an issue when students make wrong decisions about elective courses that impact negatively on their academic performance. This research observes a solution to the actual problem by creating software to analyze data and give recommendations about appropriate elective courses for university students.

Published by: Daniyal Ganiuly

Author: Daniyal Ganiuly

Paper ID: V10I3-1184

Paper Status: published

Published: June 4, 2024

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