Volume 11 | Issue 9 |

 Abstract

This research delves into the historical archives documenting instances of famine-driven hardship in the Mysore region prior to 1924. It centres on the causes, repercussions, and the intricate network of strategies employed to mitigate these challenges. By utilizing a rich collection of detailed historical records, this study provides an insightful exploration into the factors that precipitated widespread famines, encompassing climatic elements, agricultural methodologies, and economic circumstances. The study meticulously traces the progression of approaches aimed at alleviating famine, starting from the inception of the initial Famine Code in the latter part of the 19th century, up to the advanced pre-famine preparations and relief initiatives of the early 20th century. Prominent themes examined in this research encompass the complexities of precipitation patterns, the susceptibility of agrarian economies to climatic fluctuations, and the ramifications of land fragmentation and labor dynamics in agriculture. The research also underscores the pivotal role played by irrigation infrastructure, railway networks, and other precautionary measures in lessening the impact of famines stemming from droughts. The discoveries made contribute to a holistic comprehension of how the historical administration in Mysore confronted famine emergencies. This offers valuable insights to scholars, policymakers, and researchers with an interest in comprehending the historical backdrop of food security, famine management, and socio-economic robustness. By scrutinizing the achievements and obstacles encountered in famine relief endeavours in Mysore, this investigation casts light on the evolving techniques utilized to address food scarcity. Furthermore, it emphasizes their relevance in the context of modern strategies for preventing famines and providing relief.

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 Keywords

Famines, Mysore, Relief Efforts, Food Scarcity, 1876-77 Famine, Intelligence System, Irrigation, Resilience, Railways, Credit Societies, Famine Resilience Fund, Drought-Induced Famines, Rainfall Shortfall, Grain Prices, Madras and Bombay Districts, Famine Conditions, Relief Activities, Mortality, Financial Repercussions, Famine Prevention, Relief Initiatives, Rainfall Patterns, Agricultural Prosperity

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

A strong banking sector is important for flourishing the economy of housing loan through leading banks have become a source of support to pursue housing facility & materialize the dream of future. Though streaming both the public & private sector bank are offering housing loan as per the same guidelines of RBI there may be sum difference in some of the factors such as insurance coverage, concession for pre-closure cash back offer etc. in this context it is important to study the insight level of customer preference with respect to housing loan & to identify the problems faced by customers. The study helps in knowing how far the banking services used by the customers. In the view of the objectives set for the research, the study examines the efforts made by the government in the form of policies are helpful to home loan borrowers. The study mainly concerned with the customers satisfaction and problems faced by them in private and public banks with regards to providing housing finance to individual borrowers and to examine the operational factors which influence them in the selection of housing financial institutions.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Housing loans, Types of Home loans, Customer Preference, Home loan schemes.

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Creative Commons Attribution 4.0 and The Open Definition

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Microspheres, Haloperidol, Ethylcellulose, sodium alginate.

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Creative Commons Attribution 4.0 and The Open Definition

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Fast implementations have formed the basis in a whole rare form of rising performance and fault acceptable circuits premised on approximation technology. High performance comes at the expense of accuracy in many applications. Additionally, such methods minimise system architectural complexity, latency, and power consumption. When compared to existing designs, this study investigates and proposes the design and analysis of an approximation compressor with reduced size, latency, and power and equivalent accuracy. The stated approximation 4: 2 compressor now has relatively small footprint, lower power losses, and reduced latency in comparison with precise 4: 2 compressor. With the optimized compressors, 8 bit and 16 bitDadda multipliers can be designed efficiently. In comparison to current approximation multipliers, these multipliers offer equivalent accuracy

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 Keywords

Approximate 4:2 compressors, approximate multipliers, error resilient applications, image processing

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Signature verification is a critical component of document authentication and fraud detection systems, with applications ranging from financial transactions to legal agreements. Traditional methods for verifying signatures often rely on manual inspection and feature engineering, making them susceptible to errors and time-consuming. In response to these challenges, this research presents an innovative approach that leverages deep learning techniques, specifically Siamese and Convolutional Neural Networks (CNNs), to automate and enhance the accuracy of signature verification. The Siamese network architecture is employed to compute the similarity between two signature images, allowing for a precise determination of their authenticity. This network comprises identical subnetworks that share weights and are trained to extract discriminative features from input signatures. The Euclidean distance between the learned embeddings produced by these subnetworks serves as a measure of similarity, enabling reliable signature verification. Complementing the Siamese network, a CNN is employed to extract hierarchical features from signature images. This deep learning architecture includes convolutional and pooling layers, enabling automatic feature extraction. Extracted features are subsequently fed into fully connected layers for classification, providing an additional layer of verification. Experimental evaluations were conducted on two distinct datasets: the Cedar dataset, comprising genuine and forged signatures, and the ICDAR dataset for classification tasks. The results demonstrate the efficacy of our proposed approach. The Siamese network achieved an impressive accuracy of X% on the Cedar dataset, effectively distinguishing between genuine and forged signatures. Additionally, the CNN attained a validation accuracy of Y% on the ICDAR dataset, showcasing its ability to classify signatures as genuine or forged. In conclusion, this research offers a compelling solution for automated signature verification by combining Siamese and Convolutional Neural Networks. By addressing the limitations of traditional methods, our approach contributes to the field of document authentication, with the potential to enhance security and efficiency in various domains.

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 Keywords

Signature Verification, Siamese Neural Network, Convolutional Neural Network (CNN), Deep Learning, Document Authentication, Fraud Detection, Signature Classification

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Creative Commons Attribution 4.0 and The Open Definition

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The purpose of the present study was to examine the difference between male and female partners in marital adjustment and to investigate the relationship between marital adjustment and trust among married couples. Purposive sampling method was used. The sample consisted of 50 married couples (50 males and 50 females) from the urban population who had been married for 5 to 10 years. The sample was interviewed using the "Marital Adjustment Questionnaire" by P. Kumar and K. Rohatangi and the "Confidence Scale" by Remple and Holmes. The collected data were evaluated and analysed using the t-test for independent samples and Pearsons correlation. The results showed that there was a significant positive correlation between marital adjustment and trust. However, there was no significant gender difference in the two variables. Quantitative research in the future would help to gain insight into the factors that influence trust in the marital relationship, which in turn may help professionals to raise awareness among married couples for better adjustment in married life.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Marital adjustment, trust, and married couples

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Creative Commons Attribution 4.0 and The Open Definition

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Machine Learning is finding applications in a wide number of disciplines throughout the world, including the healthcare industry. It can be used to predict the existence or lack of locomotor disorders, cardiac illnesses, and other conditions. When these assumptions are established well in advance, it means they can provide vital insights to clinicians, allowing them to personalise diagnoses and therapies to each individual patient. The goal of this study is to apply algorithms based on machine learning to anticipate possible cardiac problems in individuals. A comparative investigation of classifiers such as K-Nearest Neighbours (K-NN), Decision Trees, Support Vector Machines (SVM), Logistic Regression, and Random Forest is part of the project. It also presents an ensemble classifier which employs both strong as well as weak classifiers to conduct hybrid classification. This method is helpful since it allows for the incorporation of a wide range of validation and training samples, which leads to improved precision and predictive analysis. This Model accepts as input the qualities that are kept after the feature selection techniques have been applied. Only 14 of the 75 features that make up the UCI Heart Disease data set are chosen and utilised for prediction. This model predicts whether a person has heart disease or not.

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heart diseases, Machine learning, comparative analysis of classifiers and python.

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Creative Commons Attribution 4.0 and The Open Definition

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India, the largest democracy in the world, is very much proud of her rich traditional cultural heritage and technically skilled manpower .Recent Indian scientific, industrial and technological developments, particularly in space, nuclear and missile technology, computer engineering and information science have earned India world recognition as an emerging global power From a nation dependent on food imports to feed its population, India today is not only self-sufficient in grain production but also has a substantial reserve. The progress made by agriculture in the last four decades has been one of the biggest success stories of free India. Agriculture and allied activities constitute the single largest contributor to the Gross Domestic Product, almost 33 per cent of it. Agriculture is the means of livelihood of about two-thirds of the workforce in the country.

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A study to find out hurdles in successful implementation of computer Education.

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The research paper named "The Analytical Study of Right to Privacy and its Constitutional Validity" embraces an exhaustive assessment of the essential right to privacy inside the constitutional structure. This study digs into the development of the right to privacy as perceived by the legal executive, administrative establishments, and global principles. Through an analytical focal point, this research explores the constitutional validity of the right to privacy, examining its degree, impediments, and suggestions inside the setting of individual opportunities, technological advancements, and cultural interests. In a period characterized by fast technological headway and advancing cultural standards, the research paper named "Analytical Study of Right to Privacy and its Constitutional Validity" dives into the mind boggling transaction between individual liberties and the constitutional system. The right to privacy, a foundation of present day common liberties talk, shapes the core of this study. This research leaves on a far reaching excursion to examine the starting points, development, and constitutional validity of the right to privacy, disentangling its multi-layered aspects in the contemporary scene.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Right to Privacy, Constitutional Validity, Individual Liberties, Technological Advancements

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Fish seed is the most important component for fish culture. Culturing of high resistance, High growth rate and low mortality rate fish species will brings huge production rate. The mohi tummeda vagu have providing shelter for various species of fishes, birds, weeds and other Aqua related organisms. The freshwater resources of our country for fish culture are estimated to be 2.85 million hectares of pond and tanks. In addition to this, another 2.05 million hectares of water area is available in the form of reservoirs or lakes. It has been estimated that nearly 14250 million fry would be required for stocking even the present available cultivable resources of 2.85 million hectares on a conservative stocking rate of 5000 fry/ha. The present production is 15007 million fry. Apart from this, at least an additional quantity of 4100 million fry are required for stocking the available area of lakes and reservoirs with an average stocking rate of 2000 fry/ha. This indicates that there is a necessity to raise the fry to stock the available water resources.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fish seeds, Fry, Stocking, Freshwater resources, Mohi tummeda vagu.

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Creative Commons Attribution 4.0 and The Open Definition