Volume 11 | Issue 5 |

 Abstract

: Our research involves the application of calcium chloride and marble dust to expansive soil to improve its engineering properties. Expansive soils swell greatly when [1] wet and shrink when wet. Lightly loaded civil engineering structures such as residential buildings, pavements, and canal linings are badly harmed as a result of this alternative swelling and shrinking. As a result, it is vital to reduce these problems caused by [2] expansive soils and prevent structural cracking. As a remedy to the problem of expanding soils, many novel foundation approaches have been revised. The stabilisation of expanding clays with various additives has also been quite successful. Chemical stabilisation [3] is a typical technique used for improving the expansive characteristics of soil. In this study, marble dust was used as an admixture and calcium chloride (CaCl2) as an addition to determine the pre- and post-treatment geotechnical parameters of expansive soil, including OMC and MDD, Atterberg limits, DFS (differential free swell), and strength characteristics.

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 Keywords

Soil, Marble dust, Calciumchloride

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Creative Commons Attribution 4.0 and The Open Definition

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Tea leaves are susceptible to various diseases that can significantly impact the yield and quality of tea production. Early detection and diagnosis of these diseases are crucial for timely interventions and effective disease management. In recent years, deep learning techniques have shown promising results in automated image-based disease detection systems. This study investigates the application of pretrained convolutional neural networks (CNNs), specifically AlexNet and GoogleNet, for tea leaves disease detection. The pretrained AlexNet and GoogleNet models are fine-tuned using a large dataset of labeled tea leaf images containing healthy leaves as well as leaves affected by common diseases. . The results demonstrate the effectiveness of using pretrained networks for tea leaves disease detection, with both AlexNet and GoogleNet achieving high accuracies. Additionally, the models are compared in terms of computational efficiency and detection performance to determine their suitability for practical deployment. Proposed methodology uses Tea Leaves Disease Classification dataset classify seven types of diseases like red leaf spot, gray blight, white spot, brown blight, algal leaf spot, Anthracnose, bird's eye spot each class contain minimum 40 images proposed methodology compute tea leaves diseases identification by using AlexNet and GoogleNet. The methodology proposed Convolutional Neural Network (CNN) to improve accuracy further experimental results show the detection and identification accuracy Of AlexNet and GoogleNet for tea Leaves diseases.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Convolutional Neural Network; AlexNet; GoogleNet.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present paper is based on the evidences from the remains of kushan period Stupa with Chaitya and house structures of kushan period,brunt bricks discovered in village Pharal, District Kaithal (Haryana).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Archaeology, exploration,Stupa,Kushan, village Pharal

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Creative Commons Attribution 4.0 and The Open Definition

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The safety and reliability of natural products have generated the need to produce herbal-based products. The utilization of natural beauty care products has become progressively famous among present-day in women. Herbal lipstick is a cosmetic product containing pigments, waxes, oils, fragrances, preservatives, antioxidants and colours. Herbal lip beautifying products are made-up of natural plant extracts that rejuvenate and revitalize lip skin with new freshness. The objective of the present study involved the formulation and evaluation of herbal lipsticks using color matter from natural sources such as carrot, beetroot and cocoa powder, Papaya. Different natural ingredients such as beeswax, castor oil, white beeswax, vitamin E, coconut oil, rose oil, olive oil,almond oil and beetroot were used to formulate herbal lipstick. Prepared herbal lipstick was evaluated for different evaluation tests such as color, texture, pH, melting point, breaking point, surface anomalies, aging, and perfume stability. Results have shown that different evaluation parameters of prepared herbal lipstick resembled standard values and with the marketed formulation. It can be concluded that the use of natural colorants in lipstick formulations has fewer or no side effects

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Beet Root, Herbal lipsticks, Natural ingredients, Carrot juice, cocoa powder, Papaya

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

India is the seventh biggest country in geographical area and the second most populated country after China. To feed the ever-growing population of India after Independence, the green revolution played a tremendous role, leaving behind some harmful effects on the environment due to over usage of chemical fertilizers and plant protection chemicals which eventually declined the soil fertility necessitating the adoption of eco-friendly farming methods like organic farming, natural farming to restore the environmental health and provide food security of the nation. With these new techniques taking care of every aspect of the crop is difficult which can be made easy by the emerging digital agriculture tools such as Precision farming, IoT, Artificial Intelligence and machine learning, etc. These tools make farming easy and interesting at the same time facilitating easy and continuous monitoring, irrigation water management, weather forecasting, pest and disease identification and spraying operations. The Present study focused on the genesis of digital agriculture in India, contributions by the government, the application of public-private partnerships in digitalization, some important digital tools, and the scope of digitalized agriculture in India by giving some successful examples.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Digital agriculture, IOT, Artificial Intelligence, Precision Farming, Forecasting

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Creative Commons Attribution 4.0 and The Open Definition

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This study aims to assess the effectiveness of branding strategies on the success of startups in India. In recent years, India has witnessed a significant rise in entrepreneurial activities, with startups playing a crucial role in driving economic growth and innovation. In this competitive landscape, establishing a strong brand identity has become a vital aspect for startups to differentiate themselves and gain a competitive advantage. The research was based on primary data collected from startup founders, marketing professionals, and industry experts. The study focuses on various branding strategies, including brand positioning, brand image, brand communication, and brand equity. Statistical techniques such as regression analysis and correlation analysis are employed to assess the relationship between branding strategies and startup success. The findings of this study provide valuable insights for startup founders, marketing practitioners, and policymakers. By understanding the effectiveness of branding strategies, startups can optimize their resource allocation and marketing efforts to build a strong brand presence. Moreover, policymakers can gain insights into the areas where startups require support and guidance to develop effective branding strategies. The study's limitations include the potential for response bias in the survey data and the generalizability of findings to startups outside the Indian context. Nevertheless, the research aims to contribute to the existing literature on branding strategies and startup success, particularly in the Indian startup ecosystem. In conclusion, this research sheds light on the effectiveness of branding strategies and their impact on the success of startups in India. By examining various aspects of branding and its relationship with startup performance, the study provide actionable insights that can aid startups in formulating effective branding strategies and improving their chances of success in a competitive marketplace.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Brand Image, Success of Startups, branding strategies, competitive marketplace, strong brand identity.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Mathematics is one of the most important subjects in the school curriculum as it educates students to deal with a wide range of personal, social and civic issues According to the Kothari Commission, "Science and Mathematics should be taught to all learners as part of general education in the first ten years of school". Furthermore, specialized secondary-level courses in these subjects should be available to students with above-average ability." This paper suggests what programs and actions can be taken to increase students' mathematical abilities in order to increase their achievement in mathematics, even if students have positive and negative attitudes toward mathematics.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mathematics, Attitude, Achievement, Secondary schools, Government

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: In this review article we study different herbal excipients which are used in different herbal formulation dosage forms advantages, disadvantages and different properties And its classification based on various types and application with clearly mention in article. Though the utilization of natural excipients to deliver the bioactive agents has been hampered by the synthetic materials, but the added advantages offered by these natural excipients are their being non-toxic, less expensive and freely available. The performance of the excipients to some extent determines the quality of the medicines. The traditional concept of the excipients as any constituent other than the active substance has undergone a substantial evolution from an inert and cheap vehicle to an essential constituent of the formulation

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Creative Commons Attribution 4.0 and The Open Definition

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Herbal excipients; classification; pharmaceutical application.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Verifying a license is difficult but requires a lot of system. This is useful for auto cabinet numbers, auto signal circuit breaker identification, and finding specific circuit breakers. Our project is a Raspberry Pi based license certificate, which uses an image to recognize the license. This system uses a camera with an LCD display circuit connected to a Raspberry pi. The system continues to monitor the situation with cameras. The camera can continuously input data to smash the camera. The license plate is understood in front of the camera, the camera input is processed, and the license plate is removed from the image. The process of the extracted image using OCR and extracts the license card number from it. The system then displays the reverse code and opens the door. Using the Raspberry Pi, we found the, a fully functional license plate recognition system and door control.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Raspberry Pi, LCD Display, OCR

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Creative Commons Attribution 4.0 and The Open Definition

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Now-a-days people share their opinions, thoughts, knowledge and ideas with other people through Social Networks. Facebook, WhatsApp, Instagram, Twitter etc. are the major popular social networking sites (SNS) through which people as well as students communicate with others. The objectives of the present study are- to know the impact of SNS on higher education students. For analyzing the impact, statistical tools such as percentage analysis, Hendry Garratt Ranking analysis and ANOVA test has been used.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

KEY WORDS: Social Networking Sites(SNS) , Students preference, Impact on SNS.

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Creative Commons Attribution 4.0 and The Open Definition