Volume 10 | Issue 6 |

 Abstract

The rapidly changing business environment in India and Abroad brings many challenges and some top of the mind business issues for Banking Sector. Today work force is undergoing a radical change as a result of powerful global forces. This research paper though analytical in nature, aims to the proportion of women in the paid work force best indicates the economic and social development of a country. In this study, an attempt is made to identify the presence of women employees in the Indian banking sector during the period 2019-2021 (COVID Period). The roles and responsibilities of Human Resource Departments are transforming as the modern business faces pressures of Industrialization. The percentage of women employees in private sector bank is almost stable. Hence, general glass ceiling cannot be identified as the sole reason for lower presence of women in the banking sector. Global Staffing and management of a work force diverse in culture and language skills, and dispersed in different nations are the key goals of global human resources. Thus, this research paper is a humble attempt to explore the retrospective analysis of Indian women's representation in the banking sector

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 Keywords

Business Environment, Glass Ceiling, Banking Industry, Industrialization, Retrospective Analysis, Women Employees.

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Gold jewellery has been an inevitable part of the lives of human being right from the Bronze Age. Talented goldsmiths made gold ornaments with utmost devotion, dedication and precision. Jewellery adorning the deities since time immemorial is the creations of goldsmiths having high degree of artistic skill and aesthetic sense. Traditional goldsmiths who once received royal patronage are hit badly during the last two decades due to mechanization and withdrawal of Gold Control Act. In the early years of mechanization, several goldsmiths in Coimbatore committed suicides due to un repayable debts. Today, incidents of suicides have reduced, but many have left the profession and are forced to choose an alternative employment due to low orders and low income. This article reveals the social and occupational background of master goldsmiths in Coimbatore district of Tamil Nadu

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 Keywords

Jewellery, Gold Control Act, Jewellery manufacturing process, problems of goldsmiths

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Creative Commons Attribution 4.0 and The Open Definition

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Brain tumor classification is a crucial task to evaluate the tumors and make a treatment decision according to their classes. There are many imaging techniques used to detect brain tumors. However, MRI is commonly used due to its superior image quality and the fact of relying on no ionizing radiation. Deep learning (DL) is a subfield of machine learning and recently showed a remarkable performance, especially in classification and segmentation problems. In this paper, a DL model based on a U-Net convolutional neural network is proposed to classify different brain tumor types using two publicly available datasets. In the proposed work, we present a CAD (Computer Aided Designing) system for the classification of brain tumor MR images into two types (benign, and malignant) and further classify malignant into different grades (Grade I, Grade II, and Grade III) using a custom deep neural network structure and their performance is analyzed.

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Brain Tumor, MRI, Deep learning (DL), Machine learning, U-Net convolutional neural network

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Creative Commons Attribution 4.0 and The Open Definition

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Signature verification and forgery detection is the process of verifying signatures automatically and instantly to determine whether the signature is real or not. There are two main kinds of signature verification: static and dynamic. Static, or offline verification is the process of verifying a document signature after it has been made, while dynamic or online verification takes place as a person creates his/her signature on a digital tablet or a similar device. The signature in question is then compared to previous samples of that person's signature, which set up the database. In the case handwritten signature on a document, the computer needs the samples to be scanned for investigation, whereas a digital signature which is already stored in a data format can be used for signature verification. Handwritten signature is one of the most generally accepted personal attributes for verification with identity whether it may for banking or business. While this method uses CNNs to learn the signatures, the structure of our fully connected layer is not optimal. In the model we will create two classes for each user real and forgery.

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Convolution Neural Network, Signature.

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Creative Commons Attribution 4.0 and The Open Definition

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The pulse width modulated voltage source inverters (PWMVSI) control the active and reactive power using voltage and current control techniques. The PWMVSI with chopper controller allows the reactive power and speed control simultaneously and hence achieves the decoupled control of induction motor drive. This paper presents the analysis of slip power recovery scheme (SPRS) based slip ring induction motor drive (SRIMD) employing buck-boost chopper and PWMVSI with current control technique. The objective of current control technique is to decrease the reactive power consumption of inverter from the supply, which in turn reduces the total harmonic distortion (THD) of supply current and improves the power factor and efficiency of SRIMD. The simulation model of 2 hp motor has been developed in the MATLAB 2013a to analyze the performance characteristics of SRIMD. The simulation results have shown that the SPRS using buck-boost chopper and PWMVSI with current control technique have considerable reduction in reactive power consumption of inverter resulting in better THD of supply current, power factor, and efficiency

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 Keywords

Component, Buck-boost chopper, inverter; induction motor drive, slip power recovery scheme, wound rotor induction motor.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

Religion, Politics, Truth, Non-Violence, Satyagraha

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Intracranial hemorrhage (ICH) is a life-threatening medical emergency that requires rapid and quick assessment and management. Due to its high mortality rate, early detection and classification on non-contrast computed tomography (CT) are essential for ensuring a promising prediction and controlling the occurrence of neurologic deficits. However, there is delay in the primary detection of ICHs due to a lack of prompt access to radiologists who read the scans. Spontaneous notification systems can be designed using the deep-learning artificial intelligence (AI) methods. Recently, many attempts have been made to apply the deep-learning methods for the detection of ICH on CT images. Deep learning models can be used to accelerate the time it takes to identify them. The purpose of this work is to explore the application of machine learning and deep learning in ICH detection and identify the suitability and further road in this research.

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 Keywords

Intracranial Hemorrhage. Deep learning, CNN

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 Abstract

Self Help Groups (SHGs) are small voluntary associations of often poor people especially of women from backward classes that come together for the purpose of solving their common problems through self-help or mutual help. It has been observed that merely a poor woman is not only socio-economically weak but also lacks access awareness about many factors and information about opportunities that are available in various realms of the society. However, in a group, they are empowered to overcome many of these deficiencies. In addition to above the concepts like microcredit focuses on capability building among poor women through the group approach commonly known as self-help group. At present in India the SHGs are growing at very high speed thereby helping the woman for changing their position within the family as well as in the society.

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Impact of Self-Help Groups on the Economic Development of Women of Gadchiroli district of Maharashtra

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Phosphorus is the second most important macronutrient after nitrogen required for metabolism, growth, and development of plants. Phosphate deficiency prevents plants from growing and developing properly. Although total P is present in soil in the form of organic and inorganic compounds, the majority of these molecules are inactive and so unavailable to plants. Phosphate solubilizing microorganisms can solubilize insoluble phosphates in soils through a variety of mechanisms, including the secretion of organic acids, the production of enzymes, and the excretion of siderophores that can chelate metal ions and form complexes, allowing for plant uptake. Seeds /crop and soil inoculating with phosphate solubilizing microorganisms is a viable technique for increasing food production without causing environmental hazard. The physical qualities of the soil can be improved using biofertilizers, as well as the water holding capacity.

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Biofertilizer, Growth promoting factors, Phosphate solubilization, Phosphate solubilizing microorganisms (PSM)

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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

 Keywords

Controller, Speed control, Temperature, Vibration, Noise, Current, Voltage, Fault

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Creative Commons Attribution 4.0 and The Open Definition