Volume 11 | Issue 5 |

 Abstract

- This project describe the concept, design and prototype of magnetic transmission system. Magnetic transmission become interesting area for research in last year. Several transmission have been developed all these transmission system required maintenance, lubrication . Time and money required to maintain these transmission system. We research on contactless transmission system in this transmission system we use neodymium magnets. These magnets are 12 times stronger than normal speaker magnets. So there is no contact between two gears and motion transfer by magnetic effect. So no longer maintenance required as lubrication, and no wear of gears.

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 Keywords

magnetic transmission, Contactless transmission

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 Abstract

Non-performing assets are a key source of worry for Indian banks. NPAs are a reflection of a bank's performance. A high level of Non-Performing Assets (NPAs) indicates a significant likelihood of a big number of credit defaults, which affects bank profitability and net worth. The increase in Non-Performing Assets necessitates the use of provisions, which affects total earnings and shareholder value. The topic of non-performing assets has been extensively explored in India's financial sector. The problem of Non-Performing Assets (NPAs) affects not only banks but the entire economy. In truth, the high level of Non-Performing Assets (NPAs) in Indian banks is merely a reflection of the industry's and trade's state of health. In public sector banks, the number of Non-Performing Assets (NPAs) is larger. NPAs must be scheduled in order to increase efficiency and profitability. The government has taken a number of efforts to minimize Non Performing Assets (NPAs). It is difficult to have no Non Performing Assets (NPAs). However, Indian banks can attempt to compete with foreign banks in order to preserve international standards. The problem of Non-Performing Assets (NPAs) losses and poorer profitability, as well as liability mismatch in banks and the financial sector, is dependent on how various risks are managed in their businesses. In this study an attempt is made to identify the challenges faced by Indian banks in COVID-19 era. The Secondary data has been taken from various sources to identify such issues and challenges further suggestions have been made to overcome through these challenges.

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Non-Performing Assets: A study on NPA in Indian banks and Issues and challenges.

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A magnetic coupling is a coupling that transfers torque from one shaft to another shaft, by using a magnetic field rather than a physical mechanical connection. Magnetic shaft couplings are most often used for liquid pumps and propeller systems, since a static, physical barrier can be placed between the two shafts to separate the fluid from the motor operating in air. Magnetic shaft couplings preclude the use of shaft seals, which eventually wear out and fail from the sliding of two surfaces against each another. Some diver propulsion vehicles and remotely operated underwater vehicles use magnetic coupling to transfer torque from the electric motor to the propeller. Magnetic gearing is also being explored for use in utility scale wind turbines as a means of enhancing reliability. The magnetic coupling has several advantages over a traditional stuffing box.

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Magnetic coupling, permanent magnets, power transmission efficiency etc.

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 Abstract

The current study deals with the isolation of L-Asparaginase enzyme from bacterial strains, through serial diluting the soil samples from Coimbatore, India. A total of 15 bacterial strains were isolated from the soil samples. The bacterial strains were subjected to primary screening where the positive strains are known to produce pink color zone around the colonies after incubation for 48 hrs on M9 media. Only 5 isolates were positive for producing L-Asparaginase. The positive strains were subjected to morphological studies, cultural characteristics and biochemical tests. The strains were subjected to secondary screening by submerged fermentation and the crude enzyme activity was determined by Nesselerization method, the highest enzyme activity was found to be 1.902 U/ml (B-I-13) and estimation of protein was determined by using Lowry's method. The organism which produced highest enzyme activity was identified by 16S rRNA sequencing method and phylogenetic tree was constructed. The isolated organism was found to be Bacillus subtilis which can be used to produce L-Asparaginase.

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L-Asparaginase, Bacillus subtilis, acute lymphoblastic leukemia, acrylamide.

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Vidanga is precious medicinal plant from myrsinaceae family. Having antihelminthic and antiparasotic property.It is widely used against intestinal worm infestation including round worms, thread worms, and tapeworms. This herb is very rejuvenating that provides good health and energy to body. Rajnighantu describe Vidanga with light properties, pungent taste, and hot potency. It used to make balance between vata and kapha. Vidanga is very useful to improve anorexia and digestive fire. It reduces symptoms like nausea, vomiting, flatulence, and abdominal pain. Vidanga is commonly used as krimighna (Antihelminthic), kushtaghana (skin disorder) ,Udar rogahar, to promote growth in children. The fruit of the plant is major ingredient of ayurvedic remedy prescribed for krimiroga and other skin infections. There is many references for the various formations of Vidanga like Vidanga churn, Vidanga loha,Vidangarishta which are widely used in general practice.

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Vidanga, Embelia ribes Burm.f, Krimighna, Medicinal uses.

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Wedelia chinensis Merrill (Syn. Wedelia calendulaceae, Solidogo chinensis) (Asteraceae, Sunflower family) is a small much branched annual herb, commonly known as "Pilabhangara" or "Bringraj" in hindi. Wedelia in chinese, Pitabhamga, Pitabhmgaraj in Sanskrit. Wedelia chinensis is a tender, spreding and hairy herb, with the branches usually less than 50cm long.The binding affinity and interactions with amino acids of phytochemicals were evaluated. Target protein protein homology modeling, protein structure validation, and energy minimization were all completed. A comparative in-silico docking analysis with the standard drug was conducted using phytochemicals that had been mentioned in the literature as having properties related to Alzheimer's activities. These phytochemicals were studied for their absorption, distribution, metabolism, excretion, and toxicity (ADMET) properties and those that passed ADMET filters. Using AutoDock Vina, a preliminary docking study was performed, then AutoDock 4.2.6 and SwissDock were used to validate the results.

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Wedelia chinensis , Standard caffeine, Molecular Docking, PyRx Vina auto dock, Chemsketch, ADMET Prediction.

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The primary purpose of this study was to analysis the impact of high-performance HR practices on employee performance and job satisfaction. This is empirical research design. The population for the study will be HR managers and employees working in the service industries of Gwalior city. The sample size of the study will be 80 employees working in the service industries of Gwalior city. A structured questionnaire was developed for gathering data from the respondents.

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HR Practices, Job Satisfaction, Employee Performance, Service, OCB

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Ocular pathology detection from fundus images presents an important challenge on health care. Identifying ocular pathology from fundus images is a significant difficulty for the medical field. The existence of lesions can be used to determine the severity stages of each pathology. Morphological characteristics define each lesion. Additionally, several lesions with various diseases share characteristics. We see that a patient may experience multiple diseases at once. As a result, the multi-class classification and intricate resolution approach for eye pathology detection are presented. There are several techniques for detecting ocular diseases in fundus imaging. Due to their ability to configure the network with respect to the detection objective, deep learning-based approaches are distinguished by higher performance detection. This study suggests a deep learning-based survey of eye disease screening techniques. First, we research the pathology classification or lesion segmentation techniques that are currently in use. Following that, we extract the fundamental processing processes and evaluate the suggested neural network topologies. In the following section, we define the hardware and software environment needed to use the deep learning architecture. After that, we investigate the experimentation approaches used to assess the techniques and databases utilised throughout either the training or testing phases. Additionally presented and discussed are the execution timings and detection performance ratios.

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 Keywords

Ocular diseases, Fundus images, Age-related macular degeneration (AMD), Glaucoma, Diabetic retinopathy, Macula

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 Abstract

Traditional EVM is a robust device used for casting votes. Due to its stand-alone working nature, it cannot be hacked. But it doesn't content voter data due to which duplication of votes become serious concern. A manual checking of voter information is required to do by poling officer and their assistants which can cause error. A person can re-register his/her name in voting list from different state of India (if they migrated) without noticing to domicile state to remove names from previous voting lists. This cause voter duplication. Various studies on voting have been conducted which focuses more on online voting those cannot be trusted 100 percent. So, we developed a more secure and simple solution that can be integrated with traditional EVM to prevent duplication i.e., Bogus Voting. With the help of voter database, we are able to achieve accurate results on producing 100 percent accurate election results on small scale and can be scale up at larger level. The FUID SVEM lives to the fundamental principal of democracy that is 'One Voter One Vote' for Lok Sabha (Lower House of People) and Vidhan Sabha (Legislative Assembly) on two parameters which is Fingerprint and Unique ID. Digital verification of voter avoids error and only authentic voter gets verified and can cast his/her vote. All above mentioned things can be achieved only if accurate voter data is registered in centralized database and later distributed according to constituency to maintain proper stress of work force and EVM. This revolution will not just remove duplicate voters but also reduce election time and save cost with 100 percent accurate results.

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 Keywords

FUID, SEVM, PO, VC, VSDU

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 Abstract

Data production for transmission using any form of multimedia, including digital images, text, music, and video, is becoming more and more intriguing. Numerous techniques, including cryptography, are employed to maintain the secrecy, integrity, and confidentiality of sensitive information as well as to prevent unauthorised access. By transforming the original data into cypher data, cryptography protects it from being decrypted or altered when it is received by the recipient. In this study, we employed Arnold Cat Mapping to use confusion schemes to jumble the pixel coordinates of the coloured images. By altering the grey values of the image pixels using the traditional techniques for encrypting and decrypting digital colour images, the shuffling mechanism and diffusion mechanism are coupled to encrypt the scrambled image. The suggested techniques used traditional encryption systems like the hill cypher method and the Vegner substitution cypher system. We discovered that the hill cypher exhibits much greater security and fast speed than other approaches from all experimental and analysis methodologies utilised on some colour images to test the suggested image encryption and decryption methods. Additionally, the cypher pictures' unpredictability was increased, hiding the natural characteristics of the original images.

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 Keywords

Encryption,Decryption

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Creative Commons Attribution 4.0 and The Open Definition