Volume 10 | Issue 5 |

 Abstract

The impact caused by Virtual learning on students is huge and it disturbed their enthusiasm towards being active in listening and learning with zest. The teachers are also struggling to juggle the students who are emotionally unstable which creates a lot of problems and quarrels among teachers and students, student and student and etc. Apart from emotional disorders, lack in learning ability will lead to create gap in up skilling. Thus, this study aims to understand the impact of virtual learning on students of various colleges and universities of Tamil Nadu. The researcher collected primary data from 72 samples through structured questionnaire. Convenient sampling was implemented. The researcher adopted percentage analysis and concluded the findings with recommendations to overcome the negative impact created due to virtual learning.

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 Keywords

Key words: Attitude, Behavior, Emotional stability, Virtual Learning, Students, Online and Offline class.

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 Abstract

A study of I-girder with same cross-section, same number of support and same number of intermediate diaphragm but with 4 different support configurations is done. Commercial available software STAAD PRO has been used to carry out linear analysis of these I-girder bridges. Grillage method of analysis has been used to analyze the bridges. The linear analysis has been carried out for the dead load (self-weight) and live load of Indian Road Congress (IRC) class 70R LOADING, CLASS A1 LOADING, CLASS A TWO LANE AND CLASS A FOUR LANE for eccentricity loading as per IRC is done. The paper presents a parametric study for deflection, bending and shear for different support configuration. It is found that the continuous span with equally spaced support is superior to other three support configuration. It can be stated that the obtained results will provide guidance to bridge designers.

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 Keywords

I-GIRDERS, diaphragm; bending moment; shear force, support configuration

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All over the world rice is the most consumed food and the requirement and demand of rice in the market is always high. In the market rice demand is always centered at the quality of rice depending upon its factors like length ,thickness of rice grain . Traditional methods to check all aspects of rice can be a very time consuming process and have to be done manually. Quality and purity checking of rice grains are commonly derived from human vision observation. Analyzing the rice grain sample manually is a longer consuming and sophisticated process, and having more chances of errors with the subjectivity of human perception. This paved the way for development of a computerized model for checking rice quality and all its aspects needed for checking the quality of rice. The strategies of digital image processing are used in this paper to provide a solution to the problem. Ninety percent).In proposed system model is built by clubbing both image processing and machine learning techniques to grade the rice .Digital Imaging is recognized as an efficient technique to extract the features from rice grains.We are also attempting to develop a Neural Network model in order to achieve better results.

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 Keywords

Rice quality using Image Processing and Machine Learning, OpenCV, Python,

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An increase in demand in concrete is significantly increasing day by day. For general construction, concrete grade of M15 to up to M30 shall be used. For special purposes such as heavy structures as like flyovers, high rise buildings, dams, etc. special concrete should be required which will give the same or higher strength as the conventional concrete. In this project, we decided to design M50 grade of concrete and replace the cement partially with metakaolin by 0%, 10%, 20%, 30%, and 40% by weight of the cement and will check the physical properties such as slump cone test, compressive strength. Concrete mix design is done for M50 grade as per IS code for concrete with and without replacement of cement with metakaolin. The cubes were made of 150mm X 150mm X 150mm size to determine the compressive strength of concrete. Chemical and physical properties of the materials to be used shall be check such as fineness, specific gravity, density, slump cone test and compressive strength test. After experimental work is done, the model will be created in ANSYS software, to determine the strength of the cube after no of load applications. Later, comparison study will be done for strength parameter by experimental and ANSYS model

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Metakaolin, partial replacement, concrete mix design, compressive strength, ANSYS model.

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 Abstract

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Edge computing, Cloud computing, loT

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 Abstract

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Short Message Service (SMS) is a comprehensive mobile phone service for users to communicate with others, a faster and more convenient way of communication. However, it has some limitations such as: the inability to search and categorize SMS and there is room for improvement, thereby solving real-time text messaging problems. Our system provides basic text messaging functionality as well as various features such as categorizing messages based on personal, social, transactional, and custom categories with colour codes within the app, bill due date reminders, and highlighted messages. Encryption is paramount when sensitive data is transmitted over the network. Various encryption algorithms such as AES, DES, RC4, and others are available for this. The most widely used algorithm is the AES algorithm. We have developed an application on the Android platform that allows the user to encrypt messages before they are transmitted over the network. We used the Advanced Encryption Standards algorithm for data encryption and decryption. This app can run on any device with the Android platform. This application provides safe, fast, and strong encryption of data. A large amount of data confusion and proliferation occurs during encryption, making it very difficult for an attacker to interpret the encryption pattern and the plaintext form of the encrypted data.

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SMS (Short Message Service), Regular Expressions, Pattern Matching, Tokenization, Categorization, End-to-End Encryption, AES (Advanced Encryption Standard).

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 Abstract

Abstract: The study was undertaken as the assessment of hamstring muscle strength ,endurance and flexibility. To check strength modified sphygmomanometer test(MST), to check endurance single leg bridging test(SLBT) and to check flexibility sit and reach test(SRT) were taken. The variable factors of the study were the age of the player, years of experience of player, BMI wise categorization of the player. The study concluded that almost every participant has good strength, flexibility and endurance.

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Hamstring assessment,strength,endurance, flexibility,bowlers.

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 Abstract

Transdermal drug delivery systems were developed as interesting research and one of the most regularly developed pharmaceutical goods on the global market in the field of pharmaceutical technology. Other delivery modes, like oral and intravenous, have limitations that this approach can solve. Nanocarriers, niosomes, electrosomes, liposomes, proniosomes, ethosomes, and transferosomes are vesicular targeted carriers for drug delivery. Niosomes and proniosomes, for example, are regarded to be improved carriers for increasing therapeutic efficacy and bioavailability while lowering side effects, making them a viable transdermal drug delivery system. Both are amphiphilic non-ionic surfactant-based vesicles. Niosomes are formed when non-ionic surfactant vesicles assemble. The type of nonionic surfactant employed, the method of production, the hydration temperature, and other variables all influence niosome formation. In this review paper, we sought to incorporate all of the basic data about niosomes, including different techniques of manufacture, distinct types of niosomes, factors impacting their production, and so on. Niosome toxicity is a term used to describe the toxicity of niosomes. Transdermal drug-delivery penetration enhancers, Mechanism of action of niosomes, and recent advances in the domain of niosomal research. The niosome's role as a pharmacological carrier in the skin is also highlighted.

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 Keywords

Transdermal drug delivery,pharmaceutical technology, Niosomes, non-ionic surfactant, enetration enhancer.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

neural network, pre-processing, feature extraction, classification

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