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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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.

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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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Published by: vikaspatanker

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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Authors: Ayodele Abeshin

Abstract: This paper presents a comprehensive analysis of the drivers and constraints influencing the market penetration of air conditioning equipment in Nigeria, with specific implications for sustainable growth and energy policy. Situated within a tropical climate and experiencing rapid urbanization and a growing middle class, Nigeria presents a significant, yet underexploited, market for cooling technologies. The methodology employed a quantitative survey design, administering a structured questionnaire featuring a five-point Likert scale to a purposive sample of 50 stakeholders including manufacturers, distributors and end-users. Data were analyzed using descriptive statistics via SPSS version 28 to quantify prevalent perceptions and trends. The findings clearly delineate a market caught between potent drivers and severe constraints. Key drivers identified include rising urbanization and housing development, a growing middle class, awareness of health and comfort benefits. Government programs promoting energy efficiency were also viewed favorably, though their impact was noted to be limited by enforcement. Conversely, the analysis reveals formidable barriers to widespread penetration. The high upfront cost of equipment and installation emerged as the most significant constraint, severely limiting affordability. This is compounded by Nigeria’s notoriously unreliable and inadequate electricity supply which increases operational costs and diminishes the perceived ease of use. Furthermore, a heavy dependence on imported units exposes the market to price volatility and foreign exchange fluctuations, while weak enforcement of existing energy policies and regulations fails to create a conducive environment for sustainable market growth. The penetration of air conditioning in Nigeria is a double-edged sword, representing both a marker of economic development and a potential threat to energy security and environmental sustainability. The study concludes that achieving sustainable growth requires a multi-faceted approach that simultaneously leverages the identified drivers and systematically addresses the constraints. Recommendations are therefore geared towards integrated policy actions: encouraging local manufacturing to reduce costs and import dependency; implementing financial incentives for energy-efficient units; strengthening enforcement of energy efficiency standards; investing in grid stability and renewable energy integration and launching public awareness campaigns to educate consumers on sustainable cooling solutions. Ultimately, this research provides a critical evidence-based framework for policymakers and industry stakeholders to foster a sustainable, accessible and efficient air conditioning market that aligns with Nigeria’s broader economic development and climate goals.

DOI: http://doi.org/10.5281/zenodo.17034005

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Authors: N. G. Ogbuji, N. B. Wofu, N. B. Wofu

Abstract: Banana (Musa sapientum.), a rich source of essential nutrients is a staple food crop in many tropical regions. In spite of its economic viability, its production is faced with numerous challenges including diseases and pests, which can significantly impact yields and quality. This study aimed to determine the bacterial organisms and the bacterial community structure associated with banana fruits using Illumina next generation sequencing (NGS) platform. Ripe and unripe banana fruits were sourced from Choba market in Obio-Akpor Local Government Area, Rivers State, Nigeria. Deoxyribonucleic acid (DNA) extraction was done using Laragen’s validated proprietary bacteria DNA extraction protocol. Polymerase chain reaction (PCR) amplification was performed to target the V4 region of the 16S rDNA gene using the conserved primers 515F and 806R. The most abundant phyla obtained from ripe and unripe banana were Proteobacteria (41.7%), Firmicutes (25.7%), Bacteroidetes (9.7%) and Actinobacteria (2.5%). The abundance of the predominant genera (Pseudomonas) was 41.7%. Other genera with relatively high abundance includes Bacteroides (25.94%) and Ruminococcus (9.94%). The result from this study shows that banana fruits are associated with beneficial and pathogenic organisms of human interest. Beneficial microorganisms such as Trabulsiella and Bacillus can be harnessed to promote plant growth and confer anti-fungal resistance in plants through biotechnology.

DOI: https://doi.org/10.5281/zenodo.17019678

 

Published by: vikaspatanker

Authors: Prabal Kumar Joshi

Abstract: Internet banking is one of the unavoidable advancements in the Information technology revolution. The advancement of Information technology and the Internet led the way to the evolution of internet banking. Internet banking connects the customers and the bank through the Internet to access certain services provided by the bank. It is the application of technological advancements for bestowing the available financial information resources in electronic form. This technology advancement also renders opportunities for banks to quickly and efficiently deliver specific services to the customers at anytime from anywhere without the physical visit of consumers at the bank locations

DOI: http://doi.org/10.5281/zenodo.17019115

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International Conference on Science, Engineering & Technology Trends, Sep 2025

Proceeding of the Conference

Privacy Preserving Data Mining Features and Techniques Survey

Authors- Md Shabab Ahsan, Prof. Mukesh Asati, Prof. Rakesh Kumar Tiwari

Abstract- – Internet increases the flow of data on servers and this directly gives chance for data owner to analyze rules. So mining roles come into existence where information extract but this bring the chance that privacy get harmed. So most of researchers work on this to reduce or stop the privacy losses with the objective to extract information as well. This paper has summarized some of data features that help in privacy preserving. Many of researchers has proposed various approaches of privacy preserving, so detail of such is done in the paper. Some of mining approaches were also explained for increasing the understanding of work. Evaluation parameters were list in the paper that compares various privacy preserving models.

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Authors: Minal Dhankar

Abstract: Hand gestures are a natural way to interact with computers, and with the advancement of computer vision and machine learning, this technology has become accessible for various applications. This paper explores the development and implementation of a hand gesture- controlled system using Python. The system discussed in this paper uses Python libraries such as OpenCV and Mediapipe to capture, recognize, and interpret hand gestures in real time, enabling user interaction with devices such as computers, robots, and smart systems without physical contact.

DOI: https://doi.org/10.5281/zenodo.17005234

 

Published by: vikaspatanker