Volume 9 | Issue 6 |

 Abstract

Objective: The objective of the study was to assess percentage of vaccine taken and type of vaccine, symptoms appeared due to vaccine of frontline health workers. Methods: the study questionnaire is totally comprised 10 questions which are related to vaccination types and symptoms appeared. The study questionnaire surveyed through Google form and the link was kept open excess for 20 days (10 may 2021 to 30 may 2021). All data was collected and presented using Microsoft excels 2007. The healthcare professionals requested to attempt all questionnaires. Results: totally we got 540 responses, in which 412 are vaccinated in that 72.9% are 18-45 age groups and 27.1% are above 45+ age group get vaccinated. 77.1% and 22.9% get vaccinated the covishild and covacxin respectively. 64.6% are taken 1st dose and 33.3% taken both doses. 50% of health workers not get any symptoms, 43.8% are get body pain(injected site), 25% suffered from fever and 8.3%, 4.2% and 2.1% suffered symptoms of giddiness, shivering, vomiting & headache respectively. In 128 response 82.8% lack of vaccine availability and 20.7% not taken due to side effect and fear. Conclusion: from the above survey most responders get vaccinated with covishild and 1st dose received. Out of all response study 50% not felt any symptoms and they are healthy. Based on study most common symptoms appended body pain and fever. Those not get vaccine are interested to receive vaccine and they may be due to lack of supply not get vaccine till now.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

vaccine, Google form, symptoms, age

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Currently, air pollution is a problem around the globe. India also has been agonized by this problem since ages. Earlier the government had signed COP21 agreement for shedding the carbon emissions 2025 onwards. In this regard, research has been done to identify the pollution hotspots, namely, carbon monoxide (CO) sulfur dioxide (SO2) and nitrogen oxides (NO+NO2), with the help of advanced data analysis techniques. The satellite data is provided by a histogram of the concentration of impurities, which is 90% of the surface area of focus. The sources of pollution particularly are related to the activities on the surface of the Earth. Satellite offers observations every day with a different spatial resolution. Of the jobs that explain how to extract data from the settings of the various parameters, satellites provide the ultimate results and a moderate spatial resolution, on the basis of the pollution information. Therefore, the information below will be useful for the analysis of the changes traced. The identification through the native methods are as follows:- 1. Identifying Locality of hot spots. 2. Occurrence of these hot spots and trends over a period.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

IoT, Pollutants, Hotspot identification, tracking trajectories

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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 Keywords

ADHD symptoms, EEG data, Prediction model, Classification algorithms, KNN algorithm.

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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

 Keywords

Python, OpenCV, convolution neural network, image processing, support vector machine.

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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

 Keywords

machine learning, artificial neural network (ann),recurrent neural network(rnn),LSTM,regression.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Nowadays the main problem is noise pollution . However we cannot either control it or reduce it but we can use it as a source of energy. There is huge scarcity of electrical energy though there are numerous sources since we need electricity for running our most appliances and to carry out our daily work. Sound is a mechanical form of energy which travel in the form of wave, mechanical wave that is an oscillation of pressure this pressure created by the sound could be used to convert it into electric energy or other form of energy using a transducer.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Diaphragm, piezoelectric materials, transducer, sound energy, thermodynamics

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

All people, we know, have neurons that retain information. What is in an image may be expressed by humans. We categorise photos depending on the terrains or landscapes they contain, for example. Is it possible to accomplish the same with a computer? Yes. The Intelligent Image Classifier is a Convolutional Neural Network (ANN) model that classifies pictures based on the terrain that they include. To offer the user with a graphical user interface, the model is coupled with a front-end site and an android application when it is created. The user may categorise a picture by selecting it. The model then runs based on picture categorization into labels. The output is finally shown on the screen. This approach may be used to organise photos on a mobile phone according to the user's preferences.

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 Keywords

Convolution Neural Network

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Creative Commons Attribution 4.0 and The Open Definition

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The main purpose of this project is to build a face recognition-based attendance monitoring system for educational institutions to enhance and upgrade the current attendance system into more efficient and effective as compared to before. The current old system has a lot of ambiguity that caused inaccurate and inefficient attendance taking. Many problems arise when the authority is unable to enforce the regulation that exists in the old system. Thus, by means of technology, this project will resolve the flaws that existed in the current system while bringing attendance taking to a whole new level by automating most of the tasks.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Image processing ,Matching ,Capture, Extraction.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study presents the human hair is a strong in tension & used fiber reinforcement materials. Its very cheap cost concrete as one of the mostly widely used building material. It is adding of both cement & human hair to reinforcement concrete in M20 grade concrete. Fiber reinforced concrete is one among those advancement which offer a convenient particle and economical method. Studies have been under taken to analyses the effect of human hair on plain cement concrete on the basis of compressive , crusing, and flexural strength and crauling control to economize method. Human hair percentage is 0 to 3% by weight of cement and for each % of human hair added in concrete 12 cubes were tested for their respectively mechanical properties of caring periods 7days, 14days and 28days. The combustion of human hair create unpleasant odour & produces hazardous gases like ammonia, sulphides, hydrogen sulphide, sulphur dioxide etc. The reuse of human hair show that it gives more compressive strength as compared to normal or ideal concrete. The study of human hair fiber are incorporated into concrete. In this practical the results showed that there is an increment in the various mechanical properties and strength of concrete by adding of human hairs to concrete. The concrete mix for sustainable construction practices.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Human Hair, fiber reinforced concrete, Compressive Strength

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The novel corona virus popularly known as COVID-19 is a pandemic which shook the entire world. The virus can be detected using X-Rays, Chest CT Scans, RTPCR, etc. In this work we used the X-Ray images of chest taken from healthy people, pneumonia effected patients and chest X-Rays of Corona effected patients. We trained the top CNN architectures and observed the results. We have also used Data Augmentation to increase the dataset. AlexNet gave us better accuracy in reasonable time

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, X-Rays, Data Augmentation, AlexNet, VGG, DenseNet, Squeezenet, ResNet

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Creative Commons Attribution 4.0 and The Open Definition