Volume 9 | Issue 10 |

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Capsaicinoids, chillies, ointment, pepper spray, dermal patch.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This project introduces a framework for appropriately adapting and adjusting machine learning (ML) techniques used to construct electrocardiogram (ECG)-based biometric authentication schemes. It can help define the boundaries of required datasets and get training data with good quality. Use case analysis is adopted to determine the boundaries of datasets. Based on various application scenarios on ECG-based authentication, three different use cases are developed. With more qualified training data given to corresponding machine learning schemes, the precision on ML-based ECG biometric authentication mechanisms are increased in consequence. The ECG time slicing technique with the R-peak anchoring is utilized in this framework to acquire ML training data with good quality. In the proposed framework four new measure metrics are introduced to evaluate the quality of the ML training and testing data. In addition, a MATLAB toolbox, containing all proposed mechanisms, metrics, and sample data with demonstrations using various ML techniques, is developed. For developing ML-based ECG biometric authentication, the proposed framework can guide researchers to prepare the proper ML setups and the ML training datasets along with three identified user case scenarios.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Authentication, ECG Time Slicing, ECG Biometric Authentication, Machine Learning, R-peak Anchoring.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Sign language is a somewhat complex language for normal people as they are no longer aware. Therefore, this can be quite difficult when a person is trying to talk to someone with physical disabilities such as the mute and the deaf. So imagine a technique that will allow you to recognize sign language. without knowing the actual language. This can help people recognize those who are facing physical challenges, a set of rules that uses image processing to detect how the hands are aligned, where this alignment is diagnosed from predefined data sets that we create and the textual content is diagnosed and then immediately displayed on the screen. it will make them less difficult to see.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Sign Language, Convolution Nueral Network

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Creative Commons Attribution 4.0 and The Open Definition

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As we are known that Panzara river is most popular holy river in India, Because of the dhule a big city is developed on bank of panzara river. But Now a Days, the pollution in water of panzara river is increasing day by day due to puja waste thrown in the river sewage is directly enters to river at some places. Hence there is need to analysis of the river water and compare with the standards of the BIS, CPCB & MPCB. The Physico-Chemical Analysis of water determines the quality of water of Panzara River at various stations in three seasons. It will gives us the results in terms of Temperature, pH, dissolved Oxygen (DO), Total Suspended Solids (TSS), Total Dissolved Solids (TDS), Biochemical Oxygen Demand (BOD), Chemical Oxygen Demand (COD) of the river water. Kipping this in view, the Physico-Chemical Properties of Panzara River at various stations of Dhule region are studying.

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Analysis, Quality, Pollution, Standard, Properties, Biochemical.

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Creative Commons Attribution 4.0 and The Open Definition

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Street vendors are an important feature of global urban economies. They are the integral part of informal sector, which is the backbone of the Indian economy, who aims at providing quick access to a diverse range of goods and services in public locations. The present study was done in the streets of Madikeri town where the street vendors sell their commodities. The objective of the present study is to examine the impact of Covid 19 on the livelihoods of street vendors during phase 2. The data was collected by structured interview schedule. The recent COVID 19 outbreak has disrupted the activity of most street vendors. The present study aims to focus on the impact of national and state wide lockdowns on the street vendors, and effects on their livelihoods. Study reveals that 94.5% respondents were highly impacted by the pandemic during phase 2 lockdowns.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

- Covid 19, Global, Livelihood, Lockdown, Pandemic, Street Vendors.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The entire world has been severely affected due to the outbreak of COVID-19 in the year 2020 and education sector was the most affected one due to lack of physical interaction between teachers and students. This has made learning very challenging in undergraduate programs. The colleges chosen for the study have introduced innovative strategies to make learning more interesting and effective. In the present study, an attempt has been made to analyze the effectiveness of online learning on the students of under graduate programs. The information for the study was collected from the students of both private and government colleges of Dakshina Kannada district. The findings of the study revealed that students are satisfied with the teaching through online mode during COVID-19 as there was no other alternative available for teaching-learning process. It was also observed that gender and place of stay of the students had an imperative impact on the effectiveness of online learning as well as satisfaction level of the students of undergraduate programs.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Effectiveness and Online learning, Gender based learning, Performance, Pandemic

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Antioxidant, oxidative stress, phenols flavonoids FRAP, DPPH

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Creative Commons Attribution 4.0 and The Open Definition

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Restaurants generate massive amounts of data, which, when utilized properly, may be a treasure trove for a restaurant's success. The next question is what technologies restaurants can use to collect and organize this data so that it can be examined and used to make decisions. Apart from the obvious choices of Python, R, Excel, and Tableau. We saw that numerous approaches and algorithms are used to efficiently solve problems in the field of computer science; we speculated that these techniques and algorithms could be utilized to solve problems in a different field, such as the restaurant industry. Although restaurant data analytics aren't a miracle solution for increasing sales overnight, they can help. Making a lucrative business decision can also be done using a variety of strategies and algorithms.

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Creative Commons Attribution 4.0 and The Open Definition

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Restaurant data analysis, Caching, Pre-emptive SJF, Resource Allocation Graph.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Narrative Techniques, Fiction, Point of View, Theme, Character, Setting

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

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Raspberry pi3, GSM. GPS, SD card, Pi camera. L293d motor driver, DC motor.Apr33a3 voice module, LCD display. .

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Creative Commons Attribution 4.0 and The Open Definition