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Review Paper

Prosthetic Design and Load Considerations on Alveolar Bone —A Laconic Review.

For prosthetic therapy to be successful and last a long time, the design and load considerations on the alveolar bone are essential. The prosthetic option selected—removable, fixed, or implant-supported will determine which issues need to be taken into account. To distributing forces uniformly and avoiding undue stress on the alveolar bone, the design must offer sufficient retention and support. Prosthodontists can design prosthetic restorations that maintain the integrity and health of the alveolar bone while simultaneously restoring function and aesthetics by carefully weighing all relevant criteria. This review article aims to discuss various loads falling on the supporting alveolar bone from various prosthetic treatment options.

Published by: Lakshmana Rao. B, K. Jayalakshmi, K.UdayaBhanu, P.V. Vaibhav

Author: Lakshmana Rao. B

Paper ID: V10I5-1340

Paper Status: published

Published: October 20, 2024

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Review Paper

Advances in Cloud Computing for Gaming: A Comprehensive Literature Survey

Cloud computing has revolutionized the gaming industry by enabling high-quality gaming experiences through powerful remote servers, removing the need for expensive hardware. This approach, known as cloud gaming, allows players to stream games directly to devices with minimal hardware requirements. Platforms like Google Stadia, Microsoft xCloud, and NVIDIA GeForce Now deliver games on-demand, making them more accessible and scalable. Key benefits include reduced costs, cross-platform compatibility, and improved game development and distribution models. However, challenges such as latency, bandwidth demands, and data security remain hurdles to overcome. Despite these issues, cloud gaming is expected to grow significantly as technological advancements in network infrastructure and edge computing enhance its performance. With its potential to reshape gaming industry by making immersive, high-quality gaming experiences more accessible, scalable, and cost-effective for players and developers worldwide. Cloud gaming is seen as a key driver of future innovations in the industry.

Published by: Sheema Mateen Ba Abbad, Varsha Dumpala, Pachipala Varshitha Reddy, Rashmitha Kompally

Author: Sheema Mateen Ba Abbad

Paper ID: V10I5-1327

Paper Status: published

Published: October 20, 2024

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Research Paper

Comparison of Solar Energy Generated between Fixed-Angle Solar System and Single-Axis Solar Tracking System

Solar energy is an essential source of renewable energy. The solar system harnesses the power of the sun to generate heat or electricity. Photovoltaic (PV) systems convert sunlight into electricity using solar panels. By monitoring the sun's path across the sky, a system known as single-axis solar tracking adjusts the angle of solar panels to maximize energy production. In this paper, a comparison between the solar energy generated by fixed-angle solar systems and single-axis solar tracking systems is presented under similar conditions. This paper focuses on the single-axis solar tracking system developed which is a simple and non-complicated design with no programming logic control (PLC) system. The paper also highlights the advantages of incorporating tracking technology into solar installations. The main advantage of the single-axis solar tracking system over the fixed-angle solar system is that the former gives a higher energy yield and the design of the single-axis solar tracking system is also very cost effective.

Published by: Nirvaan Didwania

Author: Nirvaan Didwania

Paper ID: V10I5-1319

Paper Status: published

Published: October 17, 2024

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Research Paper

A Bird’s Eye View of Neural Networks and Object Detection Models

This paper explores the field of Object Detection and the advancements in the same. We delve deep into different neural network-based object detection models, with emphasis on their application and address some of the challenges faced in this field. Object detection has a growing importance in fields like agriculture, manufacturing, security surveillance, autonomous vehicles etc. This paper compares different models: Convolution Neural Networks (CNN) Region-based Convolutional Neural Networks (R-CNN), Fast R-CNN, Faster R-CNNs, You Only Look Once (YOLO) and Single Shot Detectors (SSD) based on robustness, adaptability, and real-time processing capabilities. We see which models are suited for real-time applications and which are suited for feature extraction. Despite significant progress,, there are still challenges that are faced in this field.

Published by: Chaitya Upadhyay

Author: Chaitya Upadhyay

Paper ID: V10I5-1320

Paper Status: published

Published: October 17, 2024

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Article

AI and the Future

AI refers to technology that simulates human intelligence to perform tasks like decision-making and problem-solving. It is used in various applications such as recommendation systems, chatbots, messaging and more. The concept of AI dates back to ancient myths, but modern AI began in the 1940s and 50s with pioneers like Alan Turing. Although AI has achieved significant breakthroughs, including machine learning, it also brings ethical concerns such as job displacement and security risks.

Published by: Shaunak Agarwal

Author: Shaunak Agarwal

Paper ID: V10I5-1304

Paper Status: published

Published: October 16, 2024

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Research Paper

Handwritten to Text Converter using CNN

The technology has become an essential part of digitizing documents for banks, educational and others. In this paper we have craft a handwriting to text converter by using CNN which is able to input the handwritten character and convert it into computerized text. This is because CNNs are really good at image processing and what we are doing in the input debugger is identifying and splitting those individual characters from a huge variety of handwritten input. A dataset of handwritten characters is used to train the model, which uses its hierarchical feature extraction capabilities to pick up patterns and subtleties on how handwriting appears. The obtained results from the experiments identifies that CNNs are very good in predicting high accuracy and low error rate for handwriting to text conversion hence using them in real world application makes a boom on it by performing well across industries.

Published by: Akshat Newalkar, Himanshu Khade, Dhiraj Khandare, Divy Patel

Author: Akshat Newalkar

Paper ID: V10I5-1314

Paper Status: published

Published: October 15, 2024

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