TEJAS Journal of Technologies and Humanitarian Science

ISSN : 2583-5599

Open Access | Quarterly | Peer Reviewed Journal

October, 2023 | Volume 02 | Issue 04

Paper 1:Simulation of Lid-Driven Cavity with Top and Bottom Moving Boundary Conditions using CFD

Souvik Maitya, Anjan Bhunia, Sribas Samanta, and Anupam Santra

Abstract:

CFD tools have a significant benchmark problem, and one of the most impressive tools is the lid-driven cavity. This study proposes a benchmark tool for CFD modeling of a lid-driven cavity with top and bottom changing boundary conditions. An unstable Navier-Stokes equation in a primitive variable formulation is employed as the governing equation. The implicit finite difference approach with fine meshing is used to solve the problem. As a result, a symmetrical vortex with half top and half bottom is formed. The Reynolds number was varied from 100, 500 and 1000. In this study, we also discuss the secondary vortex in particular situations. The velocity profile is also shown in quarter, half, and three-fourth full x and y axes.

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Paper 2:The Critical Interpretation on Ahar (Food)-An Ayurvedic Prospective

Dr Saurabh Singh Yadav, Dr Shashank Nautiyal

Abstract:

Healthy diet is the foundation of a healthy life. The most significant aspect of existence is Aahar. Diseases and health are dependent on the Aahara. When taken correctly, Aahar can either promote improved health or cause sickness. For living things, food is the source of their Oja, power, life, and color. food in return. is derived from the six basic Flavors that are present in all foodcontaining ingredients. The unique tastes, characteristics, potencies, and digestive changes of the substances are what maintain the balance between dosha and dhatu. Food has a direct correlation to growth, health, complexion, and sensory awareness; inequity in nutrition leads to disease. According to Ayurveda, three characteristics of mind—Rajasika (quality of passion and manipulation), Tamsika (darkness, destruction), and satvika (quality of purity and harmony)—are supported and brought forth by food. The Satvik diet seems to be akin to a cautious, contemporary eating plan.

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Paper 3:Hand Posture Detection and Mouse Controller

Lara Biswas

Abstract:

After the pandemic there is huge shift in technology field. The hand posture detection and mouse are one of those virtual technology research field. The virtual mouse controller has a functionality of the real mouse to let the user communicate with the system. It is a step towards Human Machine Interaction. Although there are different Bluetooth devices that perform the functionality of a mouse but it’s not completely physical free. This controller only requires a single hardware (webcam) that captures the frames, analyze them to predict the detection and perform mouse functionality using the gesture of user’s hand. This reduces the need of any external device to perform the functionality of the mouse and allows enhancing of computing experience.

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Paper 4:The Impact of social media on the Spread of Fake News and the Role of Machine Learning in Detection

Sushmita Goswami, Deepak Kumar Chaubey

Abstract:

The way people consume and share information has been significantly impacted by the proliferation of social media. Access to information has been democratized by social media platforms, but the spread of fake news has also been facilitated by them, which can have serious consequences for individuals and society. In this research paper, the impact of social media on the spread of fake news and the role of machine learning in detecting it are examined. The investigation of the impact of social media on the spread of fake news involves the review of existing literature and the provision of an overview of the different types of fake news and the factors that contribute to its spread. The potential consequences of fake news, including its impact on public opinion and its potential to fuel misinformation and extremism, are then explored. The role of machine learning in detecting fake news is delved into as well. An overview of the different machine learning techniques that have been used to identifying spurious information provided, and their effectiveness is evaluated. The potential biases that can be inherent in machine learning algorithms and the importance of human oversight in ensuring accuracy are also discussed. Finally, case studies of machine learning algorithms that have been developed to identifying spurious information news, including the work of researchers at institutions like MIT and Stanford, are presented. The effectiveness of these algorithms in detecting fake news is evaluated based on metrics such as accuracy and speed. Overall, the importance of understanding the impact of social media on the spread of fake news and the potential of machine learning algorithms to combat this problem is highlighted by our research.

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Paper 5:Spending Tracker : A Desktop Application

Deepanshu Sharma

Abstract:

A spending tracker application is a piece of software created to assist people or organizations in keeping track of their expenditure and improving their financial management. Users can often manually enter their spending into this tool, categorize their expenses, and develop budgets or financial goals. We made an attempt to create the window programme so that the user would not have to exert much effort to use it. Users using Windows-based computers can use this programme. We utilize SQLyog Workbench and Java as the language databases to create this system. A GUI (Graphics User Interface) is used in this programme. You can download the application and utilise it if you use a Windows computer. Anyone can use this approach to manage their income and expenses, from daily necessities to annual expenses, also to monitor their spending. This programme is multilingual and very simple to use. This app's key feature is the ability to track by day and category. You might employ it in line with your category.

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