| Prasanthi Vallurupalli
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| Affiliation | Cybersecurity Software Engineer J.B. Hunt Transport Inc, AR |
| Email-Id: | prasanthiv@ieee.org |
Education Qualification:
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| Prasanthi Vallurupalli
|
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| Affiliation | Cybersecurity Software Engineer J.B. Hunt Transport Inc, AR |
| Email-Id: | prasanthiv@ieee.org |
Education Qualification:
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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.
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.
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.
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
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.
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.
Authors: Saravanan Balachandran
Abstract: In today’s interconnected and hybrid work environment, global tech teams frequently face miscommunication, collaboration inefficiencies, and cultural misunderstandings—issues rooted not in technical ability, but in the absence of robust Cross-Cultural Competence (CCC). As artificial intelligence (AI) and immersive technologies evolve, new possibilities have emerged for delivering soft skills training through Virtual Reality (VR)-driven experiential simulations. This study evaluates the effectiveness of AI-powered VR simulations in developing CCC among early-career professionals working in multinational technology firms. Grounded in Kolb’s Experiential Learning Theory (ELT), Bennett’s Developmental Model of Intercultural Sensitivity (DMIS), and Bandura’s Social Cognitive Theory, this mixed-methods study investigates how AI-adaptive VR modules influence user progression along intercultural sensitivity stages. The simulations are designed to mimic high-stakes multicultural workplace scenarios—such as remote team conflict, hierarchical ambiguity, and cross-cultural negotiation—leveraging real-time emotional feedback and decision-based branching to personalize the learning journey.Participants from global tech companies underwent structured VR-based learning interventions (3+ ELT cycles) over a four-week period. Pre- and post-assessments using the Intercultural Development Inventory (IDI) and Employer-Validated Global Soft Skills Index (EGSSI) revealed statistically significant growth in CCC, especially in adaptation and empathy. Qualitative reflections and biometric engagement data also indicated higher immersion and emotional resonance compared to video- or lecture-based training. The study offers compelling evidence that AI-augmented, VR-enabled soft skills programs can bridge cultural divides more effectively than traditional methods. It positions immersive technology as not just a medium, but a transformative agent in global workforce development.
Authors: Shubham Kumar, Dr. P.N Ahirwar
Abstract: The increasing demand for environmentally sustainable refrigeration and air-conditioning systems has accelerated research on carbon dioxide (CO₂) as a natural refrigerant, particularly in transcritical cycles. Gas coolers play a pivotal role in determining system efficiency, and finned tube configurations have emerged as a promising solution to enhance heat transfer performance while maintaining compactness. This review paper provides a comprehensive analysis of CO₂ finned tube gas coolers, highlighting their design considerations, thermal–hydraulic performance, and optimization techniques. Key factors such as fin geometry, tube arrangement, material selection, and flow distribution are critically examined in relation to heat transfer enhancement and pressure drop characteristics. Studies investigating numerical simulations, experimental measurements, and hybrid modeling approaches are summarized to identify performance trends and governing mechanisms. Furthermore, the influence of operating parameters such as mass flux, inlet temperature, and gas cooler pressure on system efficiency is discussed. The review also emphasizes advancements in surface modifications, louvered and wavy fin structures, and novel compact designs aimed at improving thermal performance. Current challenges such as high operating pressure, material durability, and cost-effectiveness are outlined, along with opportunities for integrating advanced manufacturing techniques and nanofluid applications. The findings of this review underline the importance of finned tube gas coolers in maximizing the potential of CO₂-based systems and provide insights for future research directions in sustainable refrigeration technologies.
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Authors: Merajul Hasan, Dr. P.N Ahirwar
Abstract: The design and geometry of cavities play a crucial role in determining the thermal performance and overall efficiency of solar collectors. Different cavity configurations influence heat absorption, heat loss reduction, and fluid heat transfer characteristics. This review presents a comprehensive analysis of various types of cavities employed in solar collectors, including cylindrical, conical, spherical, hemispherical, triangular, and compound cavity designs. The study emphasizes how cavity shape influences thermal performance. Comparative findings from experimental and numerical investigations reported in the literature highlight that well-optimized cavity geometries can significantly enhance solar energy utilization by improving heat retention and minimizing losses. The review also identifies key parameters influencing cavity performance, such as insulation, material properties, and flow arrangements, and provides insights into the suitability of different cavity types for diverse climatic and operational conditions. Finally, the paper outlines potential research directions focusing on hybrid cavity designs, advanced coatings, and integration with modern energy systems, aiming to further improve the efficiency and sustainability of solar thermal technologies.
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