Volume 11 | Issue 5 |

 Abstract

This study focuses on the impact of Non-Performing Assets on the Profitability of the State bank of India. This can contribute to economic growth and development of the country. The motive of this study is to analyze the Non -performing assets of State Bank of India and its impact on profitability of the bank. The study uses the annual reports of State bank of India for the period of ten years from 2011-12 to 2020-21. The data has been analyzed by using graph and coefficient of correlation. From this analysis it is noted that decrease in NPA is necessary to improve profitability of State Bank of India. While analyzing the impact of NPA level of State bank of India the researcher derived the conclusion that there is a negative relation between NPA and Net Profits of SBI. It simply means that as NPA increase Net profits decrease. It is because of the mismanagement on the side of bank.The purpose of study is to investigate whether there is a significant relationship between non- performing assets and the performance of bank.

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 Keywords

Non-Performing Assets, RBI, State Bank of India, Net Profit,

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 Abstract

"Risk and Resilience Management in Supply Chain" :In Next Normal As Corporate Strategy.

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 Keywords

AI, ML, RM, SCM, SUPPLIAR

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 Abstract

Betel vine leaves diseases caused by regular endangerment to bacteria which causes a huge yield loss globally. In recent years, deep learning has shown great potential in the field of image classification. Machine learning, the latest breakthrough in computer vision, is encouraging for fine-grained disease classification, as the method uses SVM classifier and Gaussian mixture model for image segmentation. Disease detection and classifications are considered as the two hardest works to the recognition of Betel vine disease. Betel vine is an important crop in many tropical countries and its classification is important for various applications such as variety recognition and quality control. However, due to its complex and diverse structures, betel vine classification remains a challenging task. One popular deep learning architecture is ResNet, which has been widely used for image classification tasks and has achieved good performance on various benchmark datasets. Thus, this work uses ResNet architecture to identify and classify the betel vine disease. Dataset of betel vine images and preprocessed the data to prepare it for use with the ResNet101 architecture. ResNet101 architecture is a promising method for betel vine classification. The model performs well in terms of precision and recall demonstrating its effectiveness for betel vine classification.

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 Keywords

ResNet, SVM, Convolutional Neural Network, Gaussian Mixture Model, Histogram Equalization

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Norwegian Wood is a fiction which has been predominantly studied as a love tale of mixed feelings, entangled between Toru, Naoko and Midori. It has a signature narrative technique of Murakami where the story thrives between past and present creating the peculiar Murakami-esque effect. In the present research paper, the researchers are trying to revisit the story of Toru in the light of fate acting as the ultimate authority. One can consider it as deus ex machina. Deus ex machina or God in the form of machine is a classical terminology which has been used by writers for ages. Here, Murakami has used it as a 'red string of fate' in order to reach the climax. Fate has a unique mechanism for each individual. It may not be the same as it is equal to that of his deeds. God has plans for every individual and fate is the string through which He implements his plans. Fate is the greatest leveller that adjudicates the deeds of a man and reciprocates the same treatment by different means which the researchers name it as deus ex machina.

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 Keywords

fate, deus-ex machina, destiny, love, Norwegian Wood, Haruki Murakami.

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 Abstract

In the past few years, there have been several accidents of children falling into abandoned bore wells in India. Abandoned bore wells that have turned into death pits for children. The problem is all over India. Rescue teams spend hours and sometimes days in futile attempts to save these little kids. A lot of money is also spent in these missions. In most cases they are unable to save the kids. Such events have happened umpteen times in the past, and every time either the government or the bureaucracy is blamed. The rescue process to save the child from bore well is a long and complicated process now. The rescue team tries to approach the victim from a parallel well that take about 20-60 hours to dig. This complicated process makes 70% of the rescue operations fail. The design of handling system is made in such a way that the baby/victim never gets hurt and this rescue system is sent through the same well where the victim is felt inside to bring back the victim safe through an autonomous control of drives. Our design constitutes a best Ergonomic Design and performs safest rescue operation.

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 Keywords

Pneumatic cylinder, Gripper, Battery.

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 Abstract

IOT and raspberry pi-based greenhouse monitoring system in the presence of three sensors is used to detect temperature, light, humidity and soil moisture in the greenhouse. The greenhouse effect is a natural phenomenon and beneficial to human beings. Numerous farmers fail to get good profits from the greenhouse crops for the reason that they can't manage two essential factors, which determines plant growth as well as productivity. Greenhouse temperature should not go below a certain degree, high humidity can result to crop transpiration, condensation of water vapor on various greenhouse surfaces, and water evaporation from the humid soil. To overcome such challenges, this greenhouse monitoring system involves the rescue. This project demonstrates the design and implementation of various sensors for the greenhouse environment monitoring and controlling. This greenhouse control system is powered by Raspberry pi it consists of temperature sensor, light sensor, soil moisture sensor,LCD display module, 12V DC fan, Bulb, and pump.

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 Keywords

Green house

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 Abstract

The main aim of the paper is to design and develop a Sliding mode Controller which can control the speed of Permanent Magnet DC motor drive for EV Applications which represents a novel approach for controlling the speed of a Permanent Magnet DC motor, which is a critical component of an Electric Vehicle (EV). The proposed technique is based on Sliding Mode Control (SMC) and is capable of controlling the speed of the motor accurately and efficiently. The paper begins by providing an overview of the requirements for an EV motor drive system and the existing control methods. It then explains the SMC technique and its advantages over other control methods. Overall, the paper presents a significant contribution to the field of EV motor drive systems, and the proposed SMC-based speed control system has the potential to improve the performance and efficiency of EVs.

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 Keywords

Permanent Magnet, DC Motor, Sliding Mode Controller, SMC, Electric Vehicle

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

High blood pressure is a leading chronic disease and has become the main factor for many high-risk diseases such as diabetes, heart attack and cancer. At present there are more than hundred million hyper tension but only 44% of them have been diagnosed, we are going to design a blood pressure measurement system that is completely wireless and uses blood pressure sensors to collect the data of the patient and transfers the information via Bluetooth to a monitor where in the blood pressure of the patient along with the patient details are displayed by this process, blood pressure of the patient can be monitored continuously. The overall procedure can be done within a minute or not more than two minutes. Smart- phones are ubiquitous, so a blood pressure device comprising only the smart-phone can make diagnosis commonly available without the need to procure access to a special blood pressure device. This project reviews recent advances in blood-pressure measurements, specifically with focus on those implemented for smart-phones using Bluetooth.

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 Keywords

Blood pressure sensors, Oscillometric, Smart-phones and Bluetooth

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This art work focuses on a multi-port model predictive controller grounded completely non-isolated (Binary enter and single output) DC/ DC power digital interface grounded on Z- Quasi Resonant (ZQR) community. The motor includes grid and photovoltaic panel (PV) as its input means. Unlike the primary DC/ DC converter, the supported DC/ DC motor calls for smaller switches and gives nonstop slice- edge- day, high benefit in voltage, and minimum voltage stress on motor transfer as lots as 40 obligation cycle thanks to the presence of ZQR community. This specific of the motor makes it to and its software program in electric powered auto (EV) off- board charging wherein inordinate voltage benefit is demanded. In the proposed multi-port ZQR motor, fresh input and affair anchorages could be added without compromising the motor's benefit and overall performance. The evolved motor can characteristic constantly despite the fact that someone of the input things fails to rate the EV. The proposed motor is mathematically modeled the operation of abecedarian felonious pointers that govern the motor average overall performance and anatomized in MATLAB/ Simulink platform underneath colorful operating modes.

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 Keywords

ZQR community, DC/ DC converters, MPC and LED lighting.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

New energy vehicles play a positive role in reducing carbon emissions. To improve the dynamic performance and durability of vehicle powertrain, the hybrid energy storage system of "fuel cell/power battery" is more used in new energy vehicles. Bidirectional DC-DC converters with wide voltage conversion range are essential for voltage matching and power decoupling between battery and vehicle bus, helping to improve the low input voltage characteristics of super capacitors and realize the recovery of feedback energy. In recent years, the topologies of bidirectional converters have been widely investigated and optimized. Aiming to obtain bidirectional DC-DC converters with wide voltage conversion range suitable for hybrid energy storage system, a review of the research status of non-isolated converters based on impedance networks and isolated converters based on transformer are presented. Additionally, an evaluation system for bidirectional DC-DC topologies for hybrid energy storage system is constructed, providing a reference for designing bidirectional DC-DC converters. The performance of eight typical non-isolated converters and seven typical isolated converters are comprehensively evaluated by using this evaluation system. On this basis, issues about DC-DC converters for hybrid energy storage system are discussed, and some suggestions for the future research directions of DC-DC converters are proposed.

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 Keywords

Bidirectional dc/dc converter, main ener energy storage, an auxiliary energy storage, MATLAB/Simulink

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Creative Commons Attribution 4.0 and The Open Definition