Volume 10 | Issue 5 |

 Abstract

The growth in internet and e-commerce appears to involve the use of online credit/debit card transactions. The increase in the use of credit / debit cards is causing an increase in fraud. The frauds can be detected through various approaches, yet they lag in their accuracy and its own specific drawbacks. In this work, the behavior-based approach to classification is used to improve its accuracy. If there are any changes in the conduct of the transaction, the frauds are predicted and taken for further process. Due to large amount of data credit / debit card fraud detection problem is rectified by the proposed method. The credit card frauds can be detected by evaluating the CC purchasing patterns using the historical data in order to detect the frauds. This data evaluation can help the banks or other organizations offering credit cards to minimize their losses due to the credit card frauds. The historical data evaluation with the current purchasing patterns requires the statistical modelling, which can automatically evaluate the fraudulent patterns and alarm the banks about the transactions. This helps the banks for early detection of the frauds, where they can easily eliminate the CC frauds by declining the suspected transactions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cyber security, Credit card, Machine learning

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Shershabadia, Sher Shah Abadi, Nuristani, Quraishi, Sarsabad, Shershabadi.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nanotechnology has applications in practically every department of science, including physics, biology, chemistry, medicine, and engineering. One of the most potential applications of nanotechnology is in medical technology. Designing multifunctional nanoparticles capable of targeting cancer cells, delivering and releasing medications in a controlled manner, and detecting cancer cells with high specificity and sensitivity are just a few examples of how nanotechnology might be used to treat cancer. Chemotherapy and radiation are well-known cancer therapies, but they have various drawbacks, such as a lack of early illness identification and non-local medication distribution. Because the exact medication concentration reaches not just the tumor site but is disseminated throughout the body, these therapies have a limited capacity to cure and monitor the drug's effect in the human body. To some extent, nanotechnology has allowed us to circumvent these restrictions.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Nanotechnology, Nanoparticles, Cancer,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

MeetAll is a video calling web app which basically provides a direct real-time connection with remote devices after connecting with the server. It uses a peer-to-peer audio and video calling application function. In order to initiate the connection, users have to go through the signalling server to identify and locate the remote peers. After the session is established, two-way direct connection can be activated without going through the signalling server. MeetAll is assumed to be used by two persons at one session. Users can use their own workstation or any other devices as long as it contains an HTML5-enabled browser and the browsers supported by Web Real-Time Communications(WebRTC).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Web Real-Time Communications(WebRTC).

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Embedded System, Arduino-Nano, Traffic Lights, RF Module.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Public health is an art and science which promotes and protects the health of the individual and the community where they live, learn, work, and play. Public health aims to understand and influence the socioeconomic determinants of health and to study the structure of health systems as efficient channels for health services (PHFI, 2014). The national datasets show variations and inequalities in health status, health access, and nutritional status across socio-religious groups in India (Government of India, 2006, 2007a, 2007b, 2014). The statistical surveys documenting child mortality highlighted higher rates among SCs/STs, followed by Muslims. Similarly, stunting, wasting, underweight, and anaemia in children and adults are higher among Muslims with marginal differences between SCs/STs. National reports also documented a similar picture of low lower accessibility and utilization of health services among Muslims. Muslims are worse off than most other communities concerning child under-nutritional statuses. The study aims to understand inequality in health and nutritional status across different religious groups in India and its association with socioeconomic status. The study is based on a review of secondary data available on different socioeconomic variables, health status, nutritional status, and accessibility of health services, especially for Muslims. The relevant data from available large scale data sets are identified, compiled, and analyzed. To conclude, the study disclosed that health inequalities escalate according to social inequalities. The study provides a substantial base for future studies to look at other dimensions of public health among Muslims.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Inequalities, Public Health, Socioeconomic, Muslim, and India

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Exercise counter, curl counter, Pushup counter, AI Gym

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project introduces an application using computer vision for Hand gesture recognition. A camera records a live video stream, from which a snapshot is taken with the help of interface. The system is trained for each type of count hand gestures (one, two, three, four, and five) at least once. After that a test gesture is given to it and the system tries to recognize it. Research was carried out on a number of algorithms that could best differentiate a hand gesture. It was found that the diagonal sum algorithm gave the highest accuracy rate. In the preprocessing phase, a self-developed algorithm removes the background of each training gesture. After that the image is converted into a binary image and the sums of all diagonal elements of the picture are taken. This sum helps us in differentiating and classifying different hand gestures.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Machine Learning, Augmented Reality, Neural Networks.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Pile foundation are commonly adopted to transfer the loads from the superstructure through weak strata onto the stiffer soils or rocks. Therefore the reliability of pile-supported depends largely on the behavior of the piles. Pile Foundation consist of piles that are dug into soil till a layer of stable soil is reached. Pile foundation transfer building load to the bearing ground with the greater bearing capacity. Pile foundation are useful in region with unstable upper soil that may erode, or for or for large structures. Pile foundations are often required to resist lateral loading. Lateral loads come from a variety of sources including wind, earthquakes, waves, and ship impacts.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

CASE STUDY ON PILE FOUNDATION

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 pandemic has resulted in schools shutting all across the world. Globally, over 1.2 billion children are out of the classroom. As a result, education has changed dramatically, with the distinctive rise of e-learning, whereby teaching is undertaken remotely and on digital platforms. Research suggests that online learning has been shown to increase retention of information, and take less time, meaning the changes coronavirus has caused might be here to stay. E-Learning is an advanced system and powerful tool which supports teaching and learning by the use of Information and communication technology. It bridges the gap between a teacher and a student in different geographical locations. E-Learning is the use of technology to enable people to learn anytime and anywhere. In this presentation, we are presenting the idea of our web-based E-Learning Classroom platform. This app contains various features that are essential for conducting online learning such as Live Video Lectures, Online IDE, Assessments tool, Assignments Tool, etc. We are also presenting the workflow for the development behind this app, the stakes involved, and the scope of this app in the real world.

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

E-Learning, Cloud Computing, Web Application Model, WebRTC

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Creative Commons Attribution 4.0 and The Open Definition