Volume 13 | Issue 10 |

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Sanskar Nirman me Shrimadbhagwat Geeta ki Bhumika

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Bhagwatgeeta

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The development of geospatial infrastructure is critical to enabling safe, scalable, and fully autonomous driving at SAE Levels 4 and 5. This review explores the foundational components, architectural frameworks, and experimental evaluations of geospatial systems used in autonomous vehicles (AVs). Emphasis is placed on real-time localization, high-definition (HD) mapping, edge/cloud integration, and the role of artificial intelligence (AI) in dynamic map updating and semantic perception. Drawing from a wide range of empirical studies, the paper identifies key challenges such as latency, bandwidth constraints, localization drift, and lack of standardization, while also highlighting emerging solutions like federated mapping, blockchain-secured data exchange, and quantum localization. Through comparative data and system modeling, this review provides a comprehensive understanding of current capabilities and outlines promising future directions in the field.

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Autonomous Vehicles, Geospatial Infrastructure, HD Maps, Localization, Edge Computing, AI, Sensor Fusion, Real-Time Mapping, 5G/V2X, Federated Learning.

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Abstract Government policies in Uttar Pradesh play a vital role in employment generation in non-farm sector by providing a conducive environment for businesses, fostering innovation, and improving access to resources for entrepreneurs and workers. These policies can range from infrastructure development and tax incentives to skill development programs and financial assistance. Industries importance in economic development of India is very crucial. In the industries sector Micro, Small and medium enterprise (MSMEs) holds one of the most important places in the indian economy. Theses enterprise contributed significantly to the economy via generation of employment, national income foreign exchange, export and others. This sector accounts 40 percent of total exports. MSME contribute around 8 percentage of GDP. MSMEs are contributing in more in rural employment generation and economic development. These sectors are more labours intensive and an important tool for rural industries during last few years government India launch many productive and innovative programmer and policies for this micro, small and medium enterprise with liberal approaches. The secondary sector of India remains the engine of growth for India's economy and contributed 27 % to India's Gross Value Added at current prices in FY24 (as per advance estimates). There is a significant changes in sectoral contribution of each sector to India's GDP over a period of time. The aim of the paper is to analyze the secondary sector especially, non-farm sector growth and employment opportunities in Uttar Pradesh. The paper is based on secondary sources obtained from government reports and publications like economic survey Government of India, Budget Reports, NSSO, Central Statistical Office (CSO), five year plans and Economic Census, journals and magazines and websites.

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Key words: Secondary sector, Micro, Small and medium enterprise (MSMEs) and Government Policies and Programme

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Satellite Internet uses constellations in Geostationary (GEO), Medium Earth Orbit (MEO), and Low Earth Orbit (LEO) to provide worldwide broadband connectivity. Using cutting-edge LEO systems like Starlink, OneWeb, and Kuiper to provide high-speed, low-latency internet to remote areas, this study explores the technical, social, and environmental aspects of multi-orbit satellite networks. It looks at how they help industries like education, healthcare, defense, and disaster relief while also bridging the digital divide. The study also discusses issues like spectrum congestion, light pollution, and space debris, highlighting sustainable development and global collaboration for the prudent use of space resources.

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Keywords:-Multi-orbit satellites, global broadband, digital divide, space sustainability.

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Object detection plays a crucial role in modern computer vision, enabling applications ranging from autonomous driving and surveillance to robotics and healthcare. Traditional methods relied on handcrafted features such as Haar, HOG, and SIFT combined with classical classifiers like SVM and Adaboost. However, the advent of deep learning revolutionized object detection through Convolutional Neural Networks (CNNs) and advanced models such as the R-CNN family, YOLO, SSD, and Transformers. This review compares traditional and deep learning-based methods, summarizing their advantages, limitations, and applications while highlighting current challenges and potential future research directions.

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Object detection, computer vision, deep learning, CNN, YOLO, SSD, transformers, image processing.

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The diaspora, which spans numerous regions and occupations, serves as a dynamic link between India and the global population. This abstract examines the Indian diaspora's impact on foreign policy, including its diplomatic, cultural, and economic aspects. From an economic perspective, the diaspora is a vital asset, supporting India's economy through investments, remittances, and business ventures. It fosters understanding and respect for Indian customs abroad and serves as a cultural ambassador. The diaspora uses advocacy, lobbying, and networking in host countries to exert diplomatic influence and improve India's soft power. Divergent perspectives and different allegiances among the diaspora provide challenges for Indian foreign policy. This abstract's short appraisal of the complex relationship between the diaspora and foreign policy emphasizes the Indian diaspora's transformative impact on India's global engagement.

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Indian diaspora, foreign policy, soft power, economic influence, cultural diplomacy

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This research examines customer opinion and satisfaction about Samsung goods in the Tiruchirappalli district, a notable market region in Tamil Nadu, India. The study mainly examines customer perceptions of Samsung as a brand and the degree of satisfaction with its goods in areas like cellphones, home appliances, and consumer electronics. The primary aims include identifying the determinants of customer preferences, evaluating the effects of product quality, innovation, price, availability, and after-sales service on contentment, and comprehending the influence of brand image on purchasing choices. Data collection was executed using a standardised questionnaire sent to a representative sample of Samsung customers in the neighbourhood. The comments were examined to discern trends and insights on customer behaviour. The results indicate that product quality and brand trust are essential determinants of customer happiness. Consumers acknowledged Samsung's creativity and technical progress but expressed issues around cost and the accessibility of service centres. The research elucidates generational disparities in perception and satisfaction, revealing that younger customers prioritise features and cost, whilst older populations emphasise durability and after-sales assistance. The report finishes with suggestions for Samsung to improve customer happiness in the Tiruchirappalli area. Recommendations include the implementation of localised marketing tactics, enhancement of service centre availability and accessibility, provision of competitive pricing, and ongoing innovation to address changing customer demands. This study offers significant insights for Samsung and comparable firms seeking to enhance their market presence in regional markets by matching their products with customer expectations.

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Consumer, Samsung, Satisfaction, Brand image, Purchase Decision.

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Tamil Ilakkiyangalil Maruthuvakkalai

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Tamil Ilakkiyangalil Maruthuvakkalai

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The concept of Sah?daya - the ideal reader or spectator, is a cornerstone of Sanskrit poetics, embodying the refined sensibility required to fully experience rasa - the aesthetic essence of a work. This paper delves into the role and significance of Sah?daya as envisioned in classical texts, particularly the N??ya??stra and later elaborations by theorists like ?nandavardhana and Abhinavagupta. Far from being a passive observer, the Sah?daya is portrayed as an active participant whose cultivated taste, emotional receptivity, and intuitive grasp of suggestion (dhvani) allow for a profound engagement with poetic art. By analysing the qualities that define a Sah?daya, this paper highlights the dynamic interplay between artistic creation and aesthetic reception, reaffirming the continued relevance of this concept in discussions of literary theory and the philosophy of art.

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Sah?daya, Indian Aesthetics, Sanskrit Poetics, N??ya??stra, Bharata, Rasa Theory, Aesthetic Experience, Abhinavagupta, ?nandavardhana, Dhvani, Spectatorship.

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The hallmark of diabetic mellitus (DM), a long-term metabolic disease, is hyperglycemia brought on by deficiencies in either insulin release or secretion, or both. With a projected of 537 million people affected globally in 2021 and predictions that this figure will increase to 783 million people by 2045, it has become a significant global health concern. Despite their effectiveness, traditional antidiabetic treatments like diabetes drugs and oral hypoglycemic medications are frequently linked to side effects like hypoglycemia, stomach problems, increased weight, and costly therapy. Because of their multiple intended activities, reduced adverse effect profiles, and affordability, traditional medications and organic items have gained popularity as alternate or additional methods to managing diabetes mellitus in the last few years. Many herbal products, such as the bark of Momordica charantia, Gymnasium sylvestre, but also Trinidad foenum- graecum, and opium sacred, have shown anti- diabetes properties through a variety of mechanisms, such as increased glucose production, enhanced glucose response, suppression of molecules that break down carbohydrates, antioxidant effects, and the defense of pancreatic ?-cells. Experimental and preliminary testing has shown encouraging results about the risk and effectiveness of various natural remedies. But there are still issues like inconsistent bioavailable chemicals, a lack of standards, and a dearth of extensive research studies. To sum up, botanical treatments present a viable adjunctive approach to the treatment of diabetes mellitus. When combined with traditional therapies and subjected to thorough scientific analysis, they may offer safer, more potent, and multipurpose diabetic therapy alternatives.

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Organic treatment, anti- Diabetes chemical substances, medicinal herbs, and diabetes management

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