Category Archives: Uncategorized

Authors: Abhilasha Pokharna, Dr. Dinesh Shrimali

Abstract: As we all know, India is the world's second most populous country, and agriculture employs the vast majority of its people. Farmers continue to plant the same crops without testing new varieties, and they apply fertilizers in haphazard amounts without comprehending the inadequate composition and quantity. As a result, agricultural output suffers while the soil becomes acidic and the player is damaged. So we created a solution to help farmers using machine learning techniques. Based on soil content and climatic conditions, our technology will choose the optimum crop for a certain piece of land. In addition, the system offers information on the necessary fertilizer content and quantity, as well as the seeds for growth.

Published by: vikaspatanker

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

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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

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Authors: Gaddam UshaKiran, Dr.B.Srinivasa Rao(Professor)

Abstract: This project enables secure video processing, encryption, and watermark embedding, focusing on user authentication, video encryption, and decryption capabilities. Users can register, log in, and upload videos along with watermarks for processing. Using the cryptography library, each uploaded video is encrypted, and its encryption key is split using Shamir's Secret Sharing, ensuring secure key distribution and storage. The encrypted frames are stored separately for later retrieval and decryption. Decryption occurs through reassembling key shares, allowing the original video to be reconstructed, with the watermark extracted from the first frame. The application further provides options to download the decrypted video, view split frames, and explore contact and performance information pages. Employing OpenCV for video processing and secure file handling techniques, this system ensures data confidentiality and integrity through a user-friendly interface and robust back-end encryption mechanisms. The application uses secure upload and storage mechanisms for sensitive data, like key shares and encrypted frames, storing them in predefined folders. Key shares are stored separately, further protecting the decryption process from unauthorized access.

 

 

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Authors: Omon ENI, Arun K Menon

Abstract: The COVID-19 pandemic fundamentally transformed the operational landscape of U.S. Software-as-a-Service (SaaS) companies, forcing rapid adoption of remote-first product management practices. This study examines the impact of distributed product teams on software delivery timelines through a comprehensive analysis of 127 U.S.-based SaaS companies that transitioned to remote operations between March 2020 and December 2021. Using mixed-methods research combining quantitative performance metrics and qualitative interviews with product managers, this investigation reveals significant variations in delivery performance based on organizational adaptation strategies, communication frameworks, and asynchronous workflow implementations. Key findings indicate that companies implementing structured asynchronous decision-making processes experienced 23% faster feature delivery times, while organizations lacking formal remote collaboration frameworks saw 31% longer development cycles. These results contribute to the growing body of literature on distributed software development and provide actionable insights for product management practitioners navigating the post-pandemic digital workplace.

DOI: http://doi.org/10.5281/zenodo.17044243

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Authors: Sylvester Worlanyo Gbadrive, Ifeoma Lynda Okpala

Abstract: This study examines the critical role of workforce capacity building in advancing sustainable accounting practices within U.S. public organizations. Through an analysis of professional development programs and training interventions, this research investigates how public sector finance personnel acquire competencies in sustainability accounting and international financial standards, including IPSAS (International Public Sector Accounting Standards) and GAAP (Generally Accepted Accounting Principles) . The findings reveal significant gaps in current training frameworks and highlight the transformative potential of comprehensive capacity-building initiatives. This research contributes to the growing literature on sustainability accounting in the public sector by providing empirical evidence of effective training methodologies and their impact on organizational performance and accountability

DOI: http://doi.org/10.5281/zenodo.17043410

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Authors: Revelly Shiva Rani, Professor Dr.Ch.V.Phani Krishna

Abstract: The air contamination rates immediately moment of truth are drastically growing thoroughly the grown and the underdeveloped countries which demands a more handy and economical resolution.This system contains the design for listening air contamination and constituting knowledge among all. The aim at utilizing IOT in addition to cloud to make the aids actual time for action or event and faster. The system is equipped in the locality place skilled is severe air contamination. The level of each dicey pollutant is listened at annual pauses. The Air Quality Index (AQI) for the noticed pollutants is persistent and knowledge is generated between the public through an like a man app that displays the level of each noticed contaminant and more the air quality index on account of particular area. Thus the kind of air because area maybe implicit by all by considering the concentration of the vapor in two together mathematical and graphical layout. Further this arrangement is to be lengthened from now on by admitting all to register themselves in an app which pushes newspaper or weekly air condition report through communication which reaches the consumer as a announcement namely wealthier in approach.Nowadays air pollution has equipped expected individual of the important issues because of increase in the batch of tools and as long as spent machine control and urbanization. This growth in the level of adulteration causes success hurtful consequences for affluence. This project justifies the rendering and killing of an Air Pollution detection whole. The novelty grabbed in this place, is a hands-on killing of the plan of Internet of Things. This particularized work is an survey of the potential of consumption concerning this novelty, in this place experience, where everyday welfare is curving into a real risk. The work is actualized promoting calculating boss board of Arduino.

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Authors: Meegada Maneeth

Abstract: This study explores the underlying service dimensions that determine customer satisfaction for Vistara Airlines, with particular focus on the SERVQUAL model—comprising Reliability, Assurance, Tangibles, Empathy, and Responsiveness. Analysis reveals that tangibles (such as modern aircraft, in-flight services, and physical comfort) and empathy (personalized care and attention) significantly contribute to customer satisfaction. Historically, Vistara has enjoyed a strong reputation for premium service, earning high customer satisfaction and industry accolades. However, recent developments—especially following its merger with Air India—have led to increased customer dissatisfaction, citing issues with staff responsiveness, flight reliability, and diminished service quality. While Vistara once set benchmarks in India's airline industry, the gap between customer expectations and actual service delivery has widened post-merger, indicating a decline in perceived service quality. This shift highlights the importance of maintaining service consistency and customer trust during organizational transitions.

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