Volume 12 | Issue 2 |

 Abstract

FEM has high potential to be applied in other areas, such as in agricultural engineering. This paper aims to present a review of the FEM applications in these agricultural engineering areas. One of the main numerical methods used in modeling and simulations is the finite element method (FEM). This research is focused on agricultural mechanization, agricultural product processing, since these are agricultural engineering areas with highest number of publications using FEM. The 3D-dimensional model of Multi - purposed cutting machine was created in SolidWorks 2021 and then the stress analysis was carried out using Finite Element Analysis (FEA) to obtain optimum dimensions of different parts and to analyze the maximum stress and deformation in each component of the system. FEM enables to optimize and simulate the complex agricultural machinery and to investigate the stresses and deformations induced in the parts well before product development to avoid failure in the later phase of field evaluation.

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 Keywords

Sugarcane Seed Cutting, Groundnut Stripper, Solid Works, ANSYS, Finite Element Analysis, Static Structural Analysis.

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Creative Commons Attribution 4.0 and The Open Definition

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Since 2019 Covid caused a huge death rate among different age categories of the people. This virus makes people to realize about the importance of their health and pushed them towards to save their life at first instead of saving money in general. We are in an uncertain situation that we are in need of to do something to bring back our world to become normal stage. Henceforth, as per the world health organization (WHO) [1] reports, every nation's governments are insisting people to follow certain safety protocols such as wearing masks and maintain social distance from the surrounding people to avoid the infection from Coronavirus [2]. However, it is 80% of people do not follow the same and these habits make again welcoming corona viruses to increase the death rate. Hence, in order to save the lives of the people, a new novel framework for detecting the face mask of an individual from the crowd of people and also to identify people who do not maintain proper distance with others have been proposed. Hence, the results are useful for identifying the people who violate the rules of not wearing the mask and also not following the social distance. The following methods have been implemented using OPENCV and YOLOV3[3]. The results become more useful to the public welfare sectors of government for taking necessary actions for those who violate the government rule

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 Keywords

corona virus,WHO,infection,YOLOv3,OPENCV

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Creative Commons Attribution 4.0 and The Open Definition

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In West Bengal, Purulia District is one of the poorly backward drought prone, topographically severely undulating lands with inadequate irrigation and insufficient of all agricultural inputs. The present status of tribal people is very poor as a consequence they are migrating to neighboring district and state for their source of income. Pisciculture is one of the main pillars of the local economy of the district and people mainly derive their livelihood by exploiting the fishery resources in the water bodies of the district. The district is bestowed with large number of water bodies which are utilized for Pisciculture activities. Fisheries represent a vital sector in the thrust programme of West Bengal Government for rural development through production of fish and other ancillary activities thereby generating rural employment and improvement of socio-economic status of the fishers who are the prime contributors of fisheries production. In general tribal peoples are mostly under BPL level. For this technological and financial help and proper training and monitoring are being required to change the livelihood condition. For improving the production scenario and simultaneous development of the fishers of those districts, the government introduces the Tribal Sub Plan to boost up the process. Accordingly training programmes, supply of feed, seed etc. at subsidised rate and the intervention of technical people are being implemented. As a result definitely a remarkable change in their income generation and affinity to the culture was made. Still Government's efforts in implementing a proper planning and management oriented marketing strategies are required for the sustainable development of the culture towards the upliftment of the employment and livelihood generation of the tribal fisher folks of this districts.

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 Keywords

Tribal Sub Plan, Tribal Fishermen, Bio-Economics, Correlation, Economic Upliftment

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Creative Commons Attribution 4.0 and The Open Definition

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The emotional intelligence is a variable that has helped humans survive in challenging situations. Inability to regulate it leads to unhealthy expression or suppression. Adolescents are generally vulnerable to emotional dysregulations. The current research adopts an exploratory approach to identify the factors and sub-dimensions leading to anger expression and suppression among adolescents. Using a pragmatic approach and purposive sampling method, 17 samples were chosen. The Anger Expression Scale by Spielberger was used to identify the levels of anger expression and suppression, and researcher developed interview schedule was used to identify the factors which were obtained by frequency analysis. It was concluded that anger expression and suppression may be elicited by the interpersonal dimension, which includes parents, siblings, family environment and peer relationships, and Academic dimension. Under the Interpersonal Dimension, the contributing factors of High Anger Expression are found to be parental and sibling modeling, frequent sibling rivalry, negative family environment, constant fights, strict and punitive parenting styles, peer modeling, peer pressure, use of offensive language, upward social comparison with another child, feeling less appreciated, and lack of safe space for expression. Academic overload, failure to meet deadlines, academic expectations and boredom are the academic factors causing anger expression. High Anger Suppression is due to neglectful, strict, and derisive parenting style, wrong modeling, trust issues and judgmental attitudes within the family and peer circles. The other causes identified are faulty anger expression training, fear of perceived reaction, academic overload, stress, and lack of platform for anger expression.

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 Keywords

Anger Expression, Anger Suppression, Interpersonal Dimension, Academic Dimension

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Creative Commons Attribution 4.0 and The Open Definition

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The process of demonetization has triggered significant transformations in various economic sectors, notably reshaping the dynamics of digital markets and e-commerce. This abstract delves into the multifaceted economic implications resulting from the transition towards digital transactions following demonetization. The sudden withdrawal of high-denomination currency notes acted as a catalyst for the rapid adoption of digital payment systems and cashless transactions. This paradigm shift in payment behavior influenced the growth trajectory of e-commerce platforms, stimulating their prominence in the market. Post-demonetization, digital marketplaces experienced a surge in prominence, with companies investing in robust digital infrastructures to cater to the evolving consumer preferences and facilitate secure online transactions. The transition towards digital transactions not only revolutionized consumer behavior but also expanded market accessibility for small and medium-sized enterprises (SMEs) and local businesses. It facilitated their entry into the digital economy, enabling broader customer outreach and market expansion beyond geographical limitations. This digital shift reshaped market dynamics, fostering innovation, data-driven insights, and personalize customer experiences. This abstract aims to provide a concise overview of the economic implications of demonetization on digital markets and e-commerce, highlighting the transformative changes, challenges, and opportunities that emerged in this dynamic landscape.

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 Keywords

Demonetization, E- commerce, Digital Marketplaces, Financial Inclusion.

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Creative Commons Attribution 4.0 and The Open Definition

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Creative Commons Attribution 4.0 and The Open Definition

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antioxidant activity, micronutrients, microbial activity and fortification.

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This article presents a comprehensive examination of the customer support and query resolution services offered by two prominent entities in the Indian banking sector: State Bank of India (SBI) and ICICI Bank. In the fast-paced realm of digital finance, the efficiency of these services plays a pivotal role in shaping the user experience and, consequently, the success of the respective institutions. The study delves into the user interfaces, accessibility features, and overall customer support ecosystems embedded in the net banking platforms of SBI and ICICI. Beyond surface-level comparisons, it explores the nuanced strategies employed by each bank to address customer queries promptly and effectively. The analysis extends to technological integration, artificial intelligence applications, personalized services, and crisis management, uncovering the distinctive approaches adopted by SBI and ICICI. Findings reveal a user-centric ethos, with both banks demonstrating a commitment to technological innovation and user-friendly interfaces. Personalized customer support emerges as a focal point, while the role of artificial intelligence and the human touch in digital banking add layers to the overall customer experience. The comparative review also examines crisis management and global banking solutions, providing valuable insights for users navigating the complexities of online financial management. As digital banking continues to redefine the financial landscape, this study aims to empower users and industry stakeholders with informed perspectives on the strengths, weaknesses, and unique features characterizing the net banking services of SBI and ICICI. The article concludes by highlighting the subjective nature of the choice between these institutions, emphasizing the importance of aligning individual priorities with the dynamic offerings of the digital banking sphere.

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SBI and ICICI Net Banking services, Customer Support and Query Resolution Services

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The study is precisely an attempt to study the trends of urbanization in India from the ancient times to the colonial times. The paper is organized into two sections. The first section of this chapter is introductory in nature and will help us to understand the concepts and processes related to the process of urbanization. The second section of the paper discusses the long tradition of urbanization process in India right from the ancient times to the medieval times. It goes to discuss how with the advent of the British in India this process of urbanization will go under transformation and lead to the new urban forms. It aims to give insight into the 'urban universe' of the colonial community and into the physical-spatial urban forms into which this was translated.

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urbanisation in India, river settlements, cantonments, civil lines, hill top settlements

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Creative Commons Attribution 4.0 and The Open Definition

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Sanskrit literature is wide and vast in its characters. The literary divisions of Sanskrit literature are mainly classified into three; Padya, Gadya and Mi?ra. Mi?ra is called Camp? and the term Camp? in Sanskrit literature is the combination of prose and poetry. A number of works in Campi literature can be seen in Sanskrit literature. The Camp? typically comprised a comprehensive composition of grand scale. It employed both metrical and non-metrical language with almost equal emphasis, while its prose was adorned with ornate and lyrical qualities. This paper will discuss about the Varad?mbik?parinaya Camp? of Tirumal?mb?.

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Varad?mbik? Parinaya Camp?,Tirumal?mb?, Sanskrit literature

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Creative Commons Attribution 4.0 and The Open Definition

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CNNs, or Convolutional Neural Networks, are an advanced type of neural network that processes data, specifically images, using deep learning algorithms. The use of CNNs is expanding rapidly, especially in the healthcare field, as research in deep learning advances. Cancer is a devastating disease that has claimed numerous lives worldwide, and early detection is crucial to determine whether the disease is curable or becomes critical. Bone cancer, which is characterized by abnormal tissue growth, can spread to other parts of the body. There are two types of bone cancer: cancerous and non-cancerous, with the latter being curable. Medical equipment such as CT scans, MRI scans, and X-rays are used to detect bone cancer. Early cancer detection is crucial in cases of metastasis, which is a non-curable disease. This paper aims to analyze and study the potential of Convolutional Neural Networks (CNN) in the early detection of bone cancer. By comparing various existing approaches and analyzing their effectiveness, this paper will highlight the potential of CNN algorithms in comparative analysis with their performance

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 Keywords

Keywords: Bone Cancer Detection, CNN Algorithm, MRI images, Feature Extraction, Cancer Stage Classification

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Creative Commons Attribution 4.0 and The Open Definition