Volume 12 | Issue 11 |

 Abstract

This study investigates the potential of rice husk ash (RHA) as a sustainable partial replacement for cement in concrete. By substituting cement with RHA at varying proportions of 5%, 10%, and 15%. Rapid increase in construction activities has resulted in shortage of conventional construction materials. In the present scenario, the high cost of conventional building materials is a major factor affecting housing delivery in the world.This has necessitated research into alternative materials of construction .The effective housing techniques deal with reduction in cost of construction as well as providing strength to buildings. Mainly gravel, sand and cement are used in the preparation of conventional concrete. While the use of agricultural by-product i.e. rice husk as a partial replacement with the conventional fine aggregates is expected to serve the purpose of encouraging housing developers in building construction. Rice husk is produced in about 100 million tons per annum in India. Twenty kg of rice husk are obtained from 100 kg of rice. It contains organic substances and 20% inorganic material Ash from rice is obtained as a result of combustion of rice husk at suitable temperature. Proper utilization of it aims to save the environment ,encourages the Government to find solutions regarding disposal to landfills of waste materials ,and provides new knowledge to the contractors and developers on how to improve the construction industry by using rice husk, to sustain good product performance and to meet recycling goals .The rice husk ash concrete aims to prepare light weight structural concrete which may reduce considerably the self load of structures and permits large precast units to be handled .The main objective is therefore to encourage the use of these 'seemingly' waste products as construction materials in low cost housing.

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 Keywords

Partial cement replacement, rice husk ash, sustainable concrete, eco-friendly construction, cementitious materials, compressive strength, and waste utilization

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This paper presents the design, development, and evaluation of an autonomous Locomotion robot intended for versatile and efficient mobility in various environments. Unlike conventional robots, our bot employs a unique wheel configuration allowing it to move seamlessly in any direction without the need for reorientation. The mechanical design features omni wheels, enabling precise control over movement. The electrical system integrates multiple sensors and an advanced microcontroller to enhance responsiveness and accuracy. Our software architecture incorporates real-time kinematic algorithms, providing robust navigation and obstacle avoidance capabilities. Comprehensive testing in diverse scenarios demonstrated the robot's superior agility, stability, and operational efficiency. The results highlight significant improvements over traditional wheeled robots, particularly in constrained and dynamic spaces. This research contributes to the field by offering a scalable solution for applications ranging from industrial automation to search and rescue missions. Future work will focus on optimizing control algorithms and expanding the robot's autonomy.

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 Keywords

Locomotion,Encoder,SemiAutonomous

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Creative Commons Attribution 4.0 and The Open Definition

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Spices had played a major role in the lifestyle of Indian people from a century. Spices played numerous roles through history, as a colouring food, flavours, preservatives, food addictive and medicine. Indian spices interplay between taste and quality perception. An emphasis on how spices enhance individual culinary experience and cultural backgrounds are impact of social media on spices intake. This study is to identify the most widely consumed spices in Indian household and analysis consumer awareness and preference for spices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Consumer preference, Consumption of spices, Quality, Taste, Social Media and Buying Behaviour

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract This comprehensive survey explores the comparison between quantum algorithms and classical algorithms, focusing on their performance in terms of speed and computational efficiency. Quantum algorithms, such as Shor's algorithm for integer factorization and Grover's algorithm for unstructured search , provide significant speedups for specific computational problems. This research discusses the theoretical foundations of these algorithms, their practical implementations, and the challenges faced in real-world applications. Additionally, it examines emerging quantum algorithms like the Quantum Approximate Optimization Algorithm (QAOA) and the Variational Quantum Eigensolver (VQE) , highlighting their potential in optimization and quantum chemistry . The survey also delves into the implications of quantum computing on cryptography , optimization, and machine learning , offering a comprehensive understanding of the advantages and limitations of quantum algorithms compared to their classical counterparts. Furthermore, it addresses the current state of quantum hardware, discussing recent advancements and the roadmap towards achieving quantum advantage in practical applications

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Key areas of investigation include: - Theoretical foundations of quantum algorithms - Practical implementations and hardware challenges - Comparative analysis with classical algorithms - Implications for cryptography [1], optimization, and machine learning [2] - Recent advancements in quantum computing hardware - Future research directions and potential applications

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Introduction: Dosha, Dhatu and Mala are considered as the Moolas of Shareera1. Dhatus are the entities which supports our body and helps in performing proper physiological functions. There are Seven Dhatus explained in ayurvedic classics. Among the Sapta Dhatus, Mamsa Dhatu is the third Dhatu which mainly involves in Shareera Lepana function that is covering of the body2. Mamsa Dhatu is located in its Srotas as well as in the whole body. Moolasthana of Mamsavaha Srotas is Snayu,Tvak and Raktavaha Dhamani3. Aims and Objectives: To understand the Mamsa Dhatu and Mamsavaha Srotas and its possible physiological interpretations. Materials and Method: Literature searches were conducted using classical text in Ayurveda, contemporary books, articles and many others. Discussion and conclusion: Mamsa Dhatu plays a vital role in maintaining the physical integrity of the body. The possible interpretation of the Moolasthana of Mamsavaha Srotas can be understood as tendons, ligaments and blood vessels.

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 Keywords

Mamsa, Mamsa Dhatu, Mamsavaha Srotas,Muscle

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Cancer are the 3rd leading cause of death globally, and the countries with low-to middle income account for most cancer cases. Of The current diagnostic tools, including imaging, smaller molecular detection, and immune histochemistry (IHC), have intrinsic limitations, such as low accuracy.

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nanorobots; atherosclerosis; cancer; nano sensors; nanoscale

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Monoculture systems frequently face challenges related to the accumulation of ammonia and nitrite, which can be mischievous to the health and growth of submarine organisms. In this study, we aimed to insulate bacterial species able of mollifying ammonia and nitrite toxin in monoculture operation and it converts to probiotics. Samples were collected from shrimp pond water, mangrove sediments and their roots to gain a different microbial population. Using picky culture ways and biochemical assays, bacterial isolates were screened for their capability to metabolize ammonia and nitrite. likewise, the efficacity of named bacterial strains in reducing ammonia and nitrite situations was estimated in laboratory- scale monoculture setups. Our results demonstrate the successful insulation of bacterial species with potent ammonia and nitrite metabolism capabilities. These bacterial isolates show promising eventuality for operation in monoculture systems to ameliorate water quality and enhance the health and productivity of submarine organisms. farther exploration is warranted to optimize their use and assess their performance under field conditions.

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Keywords: Bacteria, Ammonia, Nitrite, Aquatic organisms, Mangrove sediments, Pond water.

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Creative Commons Attribution 4.0 and The Open Definition

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Weather forecasting, due to its enormous impact on human life worldwide, has drawn the attention of several scholars from a variety of scientific communities. Since the agricultural and industrial sectors heavily rely on accurate weather forecasting, it is imperative. Weather classification from outdoor photos aids in preventing traffic accidents, planning outdoor activities, and enhancing the dependability of outdoor video surveillance systems and driver assistance vehicles. Numerous industries, including transportation, tourism, aquaculture, and agriculture, find applications for weather classification. Weather classification was a labour-intensive and time-consuming procedure that required a large crew and expensive sensors. Automating the process of categorising weather conditions from photographs will result in significant time and resource savings. This study provides a system based on the transfer learning technique for identifying weather photos using features learned from pre-trained deep CNN models in a much shorter amount of time. Moreover, the amount of training data affects the model's efficiency. More high-quality data usually translates into more accurate findings. Therefore, in order to make the suggested framework scalable for big datasets, we implemented it using the Spark platform. We conducted tests on the weather picture dataset to demonstrate the reliability of the suggested framework. With a maximum accuracy of 97.77%, the results show that the Inception V3 model and Logistic Regression classifier yield the greatest results when employed for weather classification.

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Deep learning, weather classification, Big Data, Convolution neural networks, weather forecasting, Machine and machine learning.

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Abstract The Big Bazaar is rebranded as SMART BAZAAR & renowned for having important fashion sectors and promises in Indian retail. It is also the parent company of Big Bazaar's e-zone, food bazaar, and fashion sections. One of India's biggest and oldest chains of hypermarkets is this one. It now has more than 250 outlets spread across 120 Indian cities. The main objectives of Big Bazaar were to advance the sale of huge bazaars, advance business development, and advance the company's standing in the retail sector. They notice sales tactics that persuade clients or customers to purchase goods at extremely low prices. This study aims in presenting the failure reasons & current Brand repositioning strategies. As they want to meet all of the needs of Indians, and they have been successful in maintaining the distinctiveness of their marketing strategies and in attracting customers. One of the largest retail chains in the nation, Big Bazaar is expanding daily, particularly in the food product area. Big Bazaar is having trouble offering more discounts to clients than its rivals while still making a profit as more and more companies enter the Indian retail market.

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Key Words Brand Repositioning, Big Bazaar, Retail Industry, Customer Perception, Market Strategy, Brand Loyalty, Consumer Behavior, Retail Marketing, Bangalore Market, Competitive Analysis, Brand Equity, Retail Transformation, Marketing Trends, Consumer Trust, Retail Experience, Advertising Campaigns, Market Research, Customer Retention, Brand Awareness, Urban Consumer Dynamics

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This report explores the design and implementation of a smart greenhouse that integrates artificial intelligence (AI) and renewable energy to enhance plant growth, resource efficiency, and sustainability. By utilizing sustainable materials and optimizing location, the greenhouse harnesses solar and wind energy while employing energy storage solutions for consistent power supply. Automated climate control systems monitor and regulate temperature and humidity, ensuring optimal growing conditions. AI-driven analytics process data from various sensors to optimize irrigation and monitor plant health through image recognition technology. Additionally, sustainable practices like composting and rainwater harvesting further reduce environmental impact. A user-friendly mobile app facilitates real-time monitoring and control, fostering community engagement through educational initiatives. This smart greenhouse model not only promotes efficient agricultural practices but also contributes to food security and environmental conservation

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 Keywords

Artificial Intelligence, Agriculture, Smart Greenhouse, Renewable Energy, Energy, AI System

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