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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 Keywords

vaccine, Google form, symptoms, age

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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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 Keywords

IoT, Pollutants, Hotspot identification, tracking trajectories

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 Abstract

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

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

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 Abstract

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 Keywords

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

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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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 Keywords

Diaphragm, piezoelectric materials, transducer, sound energy, thermodynamics

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 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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Convolution Neural Network

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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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 Keywords

Image processing ,Matching ,Capture, Extraction.

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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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Human Hair, fiber reinforced concrete, Compressive Strength

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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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 Keywords

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

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The Corona virus detection by CT images is used with deep learning algorithm.Deep learning provides the expertise and services of the project .Corona virus or COVID 19 is began in China it causes for the respiratory illness and death .Coronavirus is firstly reported at Wuhan, China on December 2019 .More than 159000000 people are infected by Corona around the world .Over 3300000 people have died because of this virus .For the large number of suspected cases quarantine and treatment is the solution for the virus. Now RT-PCR and antigen tests are available for detecting the Corona virus .But these are the slow procedure for people.In this project we can detect the corona virus by using the CT images of human due to this easily detect the virus and suddenly goes to the quarantine band treatment.COVID 19 detected by the radio graphical changes in CT images saving critical time for disease control.

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COVID 19,CT images , Artificial intelligence and Deep Learning,Black fungus,Molecular test,Antigen test,Antibody test

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 Abstract

Wireless sensor network has a number of autonomous nodes and important task of WSN, collect data from an node and send to the base station .Node in a WSN are power constrained due to limited battery power. Energy Consumption is one of the main issue in WSN. to increase the network life time and reduced battery consumption various routing protocol are used. LEACH, DEEC, DDEEC, EDEEC and SPIN are the routing protocol for Wireless sensor network. The limitations of traditions protocols has been removed by M-spin. M-spin helps to increase the network life time of the nodes. However there are some limitations of M-spin protocol. Drawback of M-spin protocol can be overcome by applying Genetic Algorithm on M-spin protocol. In this paper, we present the comparative review of M-spin protocol with Genetic Algorithm.

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 Keywords

Modified Spin protocol, Wireless sensor network, Genetic Algorithm.

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This tool will function as an assistant to the user providing them with the fastest and shortest path to get from one station to another station. The tool will also calculate the price of the journey.

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Graph algorithm, Dijkatra

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ABSTRACT The ongoing spread of COVID-19 has become one of the biggest threats to the global economy and financial markets. To contain the impact of the coronavirus outbreak, India, like many countries across the globe, is taking several measures, including a nationwide lockdown; limiting movement of the entire population; shutting down public places and transport; and urging the public to stay indoors, maintain social distance, and work from home. The resulting economic disruption is huge and the short-term decline in activity for businesses, both large and small, considerable. The basic need (Food and Medicine) is important for continuo their life and in it the transfer of money plays an important role. Online banking can make the transaction through an electronic basis without the exchange of any tangible commodity with maintaining social distance. Online banking is the modern concept of banking in which people can do some banking activities (like Transfer cash transfer and in the account, Check Bank Balance, Payment of Bills, Phone recharge and etc.) through using the Internet in their phone, computer. One of the most important features of online banking is that it can totally operate electronically basis without the exchange of any tangible commodity and it has made it an important tool to protect from the pandemic. In this paper we describe the various digital payment methods that are used in the pandemic situation.

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Keywords: Mobile Banking, Internet, Covid-19, Lockdown, Digital Payment

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Ajmer is central district of Western Water scarce Rajasthan.Due to water scarcity Fresh water bodies of Rajasthan are surveyed.

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Ajmer,Fresh water bodies, Rajasthan.

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Bharatiya Janata Party, Trinmool Congress, Telgana Rashtriya Smiti, Biju Janta Dal, Shiv Sena, Akali Dal (Badal)

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Muncipal Solid Waste,Population,Muncipal Solid Waste Treatment Plant

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 Abstract

Cyberattack is increasing very rapidly, as most of the information in recent times are transferred through online mode using different forms of files like pdf, document files, excel sheets. It is almost impossible to protect it completely when we are sharing with someone over the internet like e-mail, social media, cloud storage, etc. There is no guarantee that it will be received to the receiver with no breaches within the middle and you may not be able to know if such breaches had leaked your records and inside your files, these leaked records may cause disaster in the future, the file tracking system is a tool that it will help in early detection of such breaches are easily detected when accessed by an attacker thus the owner of the file can send their files to anyone without any fear and if there are any data breaches in the middle he/she may be able to get the information of the attacker who had breached it, this may assist the owner of the file to take early precautions before something wrong occurs.

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cyberattack, XSS, XEE, token injection, tracking, data breach

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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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IPFS, Blockchain, decentralized, file system

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 Abstract

Abstract : The present study was undertaken to trace accurately spawning period Heteropneusteus fossilis of this is reported in terms of gonadosomatic index which express the relative change in gonad weight to the percentage of body weight. During present study two peak values of GSI were observed indicating that there are two peak periods of spawning in H.fossilis first from July to August and second from January to March.

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Key Words: H.fossilis,Gonadosomatic index,preparatory period,spawning,post spawning

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