Daily Archives: September 4, 2025

Authors: Ranjitha.S, Tamilaracy.K, Mary Jenifer.G, Dhilipan.M, D.Jeevanantham,B.E.

Abstract: Water quality plays a critical role in ensuring human health and well-being. This study compares the physico-chemical quality of water collected from Puliyampatti pond (near P.A. Educational Institution) and the treated drinking water supplied within the college campus. The parameters examined include pH, Total Dissolved Solids (TDS), chlorine content, and hardness. Results revealed that pond water exhibited higher TDS (489 ppm), hardness (3.6 mg/L), and lower chlorine (0.173 mg/L) compared to college drinking water, which showed a lower TDS (37 ppm), lower hardness (0.45 mg/L), but higher chlorine (1.3 mg/L). Both samples maintained pH within acceptable limits. The findings indicate that untreated pond water is unsuitable for direct consumption without treatment, while the treated college water meets desirable drinking water standards.

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Published by: vikaspatanker

Authors: Palwinder Kaur Sandhu

Abstract: The design and management of sensor networks, which enable smooth communication between a variety of devices, from home appliances to specialized monitoring equipment, are critical components of the Internet of Things (IoT) ecosystem. An effective sensor network's design is greatly influenced by the topology chosen, such as mesh or star configurations, each of which is suitable for a specific application. As IoT adoption grows, the challenges of big data—volume, velocity, variety, and veracity—become more apparent. Since sensor data is inexpensive to generate but costly to transmit, store, and process, early-stage edge processing is essential for system efficiency. Modern, affordable, low-power aggregation devices reduce unnecessary data load by enabling local data processing, filtering, and transmission.Additionally, by providing remote configuration, real-time monitoring, and integrated data visualization, cloud-based sensor network management tools increase scalability and user-friendliness. Combining these technologies maximizes dependability, performance, and cost-effectiveness while satisfying the evolving requirements of Internet of Things applications.

DOI: http://doi.org/10.5281/zenodo.17075400

Published by: vikaspatanker

 

Prasanthi Vallurupalli
Affiliation	Cybersecurity Software Engineer J.B. Hunt Transport Inc, AR
Email-Id:	prasanthiv@ieee.org
Education Qualification: Master of Science in Software Engineering (2015) University OF Houston Clear Lake. PVP Siddhartha Institute of technology. Bachelor of Technology in Electronics and Communications Engineering (2013)

 

Published by: vikaspatanker

Authors: Dr. Yashika Kewalramani, Arjun Singh Parihar

Abstract: Artificial Intelligence (AI) and its incorporation into dental imaging, particularly in the interpretation of radiographs known as Orthopantomograms, has led to many promising advancements. However, its clinical utility and diagnostic consistency remain subjects of investigation when compared to the judgment of trained oral radiologists. This study evaluates the diagnostic precision and variability between experienced oral radiologists and a widely accessible AI model “ChatGPT”, in analyzing different confirmed Jaw Pathologies through Orthopantomograms. By using systematic assessment methods, the study aims to ensure a balanced and objective examination of the potential incorporation of AI in oral radiodiagnosis.

DOI: https://doi.org/10.5281/zenodo.17052221

Published by: vikaspatanker