Volume 12 | Issue 3 |

 Abstract

Air breathing engines are widely used in aircraft and missile applications. These air breathing engines will work efficiently in supersonic and hypersonic conditions only. Supersonic air breathing engines work in the range of mach 3 to 5 and hypersonic air breathing engines work on above mach 5 or 6. The hypersonic air breathing engines are known as scramjet engines. Air breathing engines efficiency was increased by increasing the pressure recovery or pressure at the outlet of the inlet. Thus with the increasing efficiency of hypersonic inlet diffusers , it directly improves the efficiency of the hypersonic air breathing engine. In this paper numerical analysis was conducted to improve the efficiency of hypersonic inlet diffusers by varying cowl and ramp geometry (i.e angle and lengths ). It is observed that with the increase of lengths of ramp outlet mach number and pressure are increased.

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 Keywords

Hypersonic air breathing engine, cowl , ramp, mach number, numerical analysis.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Cloud storage as one of the most important services of cloud computing helps cloud users break the bottleneck of restricted resources and expand their storage without upgrading their devices. In order to guarantee the security and privacy of cloud users, data are always outsourced in an encrypted form. However, encrypted data could incur much waste of cloud storage and complicate data sharing among authorized users. We are still facing challenges on encrypted data storage and management with deduplication. Traditional deduplication schemes always focus on specific application scenarios, in which the deduplication is completely controlled by either data owners or cloud servers. They cannot flexibly satisfy various demands of data owners according to the level of data sensitivity. In this paper, we propose a heterogeneous data storage management scheme, which flexibly offers both deduplication management and access control at the same time across multiple Cloud Service Providers (CSPs). We evaluate its performance with security analysis, comparison and implementation. The results show its security, effectiveness and efficiency towards potential practical usage.

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 Keywords

Data Deduplication, Cloud Computing, Access Control, Storage Management

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Dalit literature is one of the important fields developing in the Indian Writing in English. Dalit literature is a literature which studies the life journey of people who belongs to marginalized community. It includes the sufferings and pain undergone by a dalit or untouchable among other higher ranking people in the society. The main objectives of the article are to explore the themes and ideas proposed in Indian dalit literature, to study the pain and sufferings of dalit community through Karna, to evaluate the status of dalits in the contemporary India, to portray the prevailing caste and class discrimination in the society and to envision people about the sudden need for bringing equality in the society. The research article navigates the unsung hero of Mahabharata Karna in the light of the dalit context as he faced the issues of caste discrimination throughout his life. It also explains that how the Karna's life is perfectly blended with the lives of the dalit people in the Indian society through certain issues. The article statement enlightens that a dalit individual has the right and liberty to have education and identity of their own despite the caste differences and it questions the concept of equality when several people are not treated as such.

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 Keywords

Dalits, Caste disparities, discrimination, untouchability, equality and dalit aesthetics.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Virtual Reality (VR) has emerged as a transformative technology with the potential to revolutionize traditional classroom experiences. This study explores the integration of VR into educational settings, aiming to enhance engagement, interaction, and learning outcomes. The research delves into the design and implementation of VR classrooms, examining their impact on student comprehension, retention, and overall educational experience. Key focus areas include immersive content delivery, interactive simulations, and collaborative learning environments within the virtual realm. The study also assesses the challenges and opportunities associated with the adoption of VR in education, considering technical, pedagogical, and accessibility aspects. Findings from this research contribute to the growing body of knowledge surrounding the effective integration of VR technologies in modern educational practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Virtual Reality (VR), utilization, Education, Classroom, Immersive Learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In most of the countries farmers still using traditional methods of farming management leading to inputs wastages and low production due to inaccurate types and amount of fertilizers applied to the field which depends upon soil analysis and plant yield. As you all know that technology was are growing day by day but lot people not worried about their food chain and some of them worried but they can't do anything because we doesn't know about that. In order to overcome these problems we are implementing the smart farming by using IOT and Blockchain based distributed agriculture system.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Blockchain, Smart farming, Agriculture system, Distributed agriculture

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Smart Street Lighting System is a cutting-edge initiative designed to revolutionize urban illumination by incorporating advanced technologies for enhanced energy efficiency and safety. Key features include intelligent activation using motion sensors to minimize unnecessary energy consumption, light automation based on real-time data for optimized brightness, and a fault detection and monitoring subsystem for swift maintenance. This multifaceted approach not only improves the quality of urban lighting but also reduces energy consumption, mitigates light pollution, and promotes overall sustainability. The project embodies a modern and responsible approach to urban infrastructure, setting a benchmark for smart city development. In summary, the Smart Street Lighting System not only focuses on energy conservation but also prioritizes the preservation of the natural night environment. By seamlessly integrating automation and monitoring, the system ensures swift responses to faults, contributing to a safer urban landscape. This innovative project exemplifies a forward-thinking model for urban infrastructure, aligning with the broader goals of environmental responsibility and enhanced quality of life in modern cities.

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 Keywords

Smart street lighting, cost efficiency, real time monitoring, Internet of Things.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ABSTRACT The fish variety is a decent sign of condition of water biota. A virtuous piscine multiplicity characterizes the well-adjusted environment. Compelling this hooked on deliberation the fish variety of Pitichua Lake is considered during present study. The fishes are one of the most essential vertebrate, providing rich protein sources for human and several animals and important elements in the cheap of many states. Fish variety of Pitichua Lake basically denotes the fish faunal multiplicity. Pitichua Lake preserve a rich variety of fish species which supports the profitable fisheries in Chimur Taluka, District Chandrapur. Keeping in the view, the diversity of fish fauna of the Pitichau Lake in Chimur Taluka in Chandrapur District, Maharashtra, and Central India has been studied from the period Nov.2022 to Dec.2023. The aim of the study was to explore the fish fauna of Pitichua Lake. In the course of investigation, four sampling spots were selected viz., SPOT-A, SPOT-B, SPOT-C and SPOT-D of Pitichua Lake.

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 Keywords

Keywords: Ecosystem, Diversity, Economy, Aquatic, Protein and Source.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Tenders must be included in the procurement process for companies and government organizations. facilitating the acquisition of necessary products and services for seamless operations. Mismanagement of bids, marked by issues such as favouritism, inadequate record-keeping, and lack of transparency, poses significant financial risks and harms organizational reputation. Block chain technology emerges as a secure, decentralized ledger system, ensuring tamper-proof transaction recording. Complemented by encryption, it transforms sensitive information into unreadable code, safeguarding tender specifications, bid submissions, and approval details. This innovative approach guarantees transparency and safety in the tendering process, effectively mitigating risks associated with mismanagement of tenders and contracts while establishing a secure foundation for procurement operations.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Tendering & Bidding, Block chain, Smart contract, MetaMask.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The Sorghum Cv. Nirmal - 21 seed lots were treated with fungicides Thiram, Carbendazim, Mancozeb, Copper oxychloride, Captan, Captafol @2.5g/kg seed and untreated lotwas kept as control. These seed lots were tested for seed mycoflora and seed germination for 36 months at 2 months interval. There was significant increase in seed mycoflora and reduction in seed germination after 36 months storage period. The germination was significantaly superior in Thiram treated (83%) than Carbendazim (80%), Mancozeb, (76%) Copper oxychloride (75%), Captan (74%), Captafol (59%) and untreated control (54%). y words-Sorghum vulgare (Pers.) Cv. Nirmal-21), Fungicides

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 Keywords

Seeds, Fungi, Plant, Mycoflora

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

:An Ensemble-based Heart Sound Classification System for Pathology Detection is described here. Heart disease, a leading cause of mortality across all age groups, emphasizes the significance of early detection. Utilizing machine learning algorithms, the system categorizes heart sounds into normal, murmur, extra sound, and extrasystole. A user-friendly interface for real-time heart sound analysis is developed to aid healthcare professionals in efficient diagnosis. Through ensemble learning techniques, the system aims to bolster the accuracy of heart sound classification, facilitating earlier detection of cardiac pathologies and ultimately improving patient outcomes. This initiative contributes to the advancement of healthcare technology, highlighting the pivotal role of machine learning in the medical domain.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Pathology detection, Heart sound Classification, Machine learning, Ensemble

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Creative Commons Attribution 4.0 and The Open Definition