Volume 9 | Issue 6 |

 Abstract

Generally botnet means it is a number of many device connected to an internet that will involve the working of more number of devices on a single BOT. The characteristics of Botnet mainly involve the detection and disruption of many programs that are mainly constructed using many clients. The main networks of Botnet involve the communication of peer to peer communication network which also performs the same function as the model of client server. This model is used to perform both as a distributed command and server of a centralized custom. Our work focus on the the scanning of the botnet that includes the method to visualize, correlate the behavioural characteristics of botnet in this network of internet related as global internet.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Radiation that involves internet background ,Block chain ,SDN, Botnet, involving the scanning for the purpose of probe, mainly the system of coordination.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

: Nowadays, with the rapid increase in prices, having more than one source of income has become extremely important. One not only needs to save money but also needs to tackle inflation and make sure the money stored is not losing its value while kept in lockers and banks. Money which is not wisely invested will lose its purchasing power in the long run against inflation. Mutual funds ,public provident funds ,gold ,silver ,saving schemes ,real estate ,cryptocurrency and stock market are few places where one can invest money. It has been observed people try to shy away from stock market simply because of lack of their knowledge in this respective field which has also caused various misconceptions. For a layman all the information will be overwhelming if he doesn't possess the required tools and knowledge to analyze the data. This has been the case when it comes to stock market investing since a long time. But with the recent development in deep learning and natural language processing, the gap can finally be filled. These are fast processing models which provide technical as well as sentiment analysis on the stock data using LSTM and LDA which subsequently aids the user in making decisions in stock markets.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Time Series Forecasting, Stock Prediction, LSTM Networks, Sentiment Analysis, LDA.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Ahmednagar district is the largest district in Maharashtra state. Various crops are grown in this district. These include cash crops, food crops, and fodder crops. Maize is included in all three crop category. Maize is cultivated in the district during the three seasons - kharif, rabbi, and summer. Generally the seeds of various types of maize seed companies are used for cultivation such as African tall, Karvir, Rajarshree, Vijay, Mahabiz, Digvijay, Virat. The Rain is changing every year, with each month and season varying. The average rainfall during the period 2000 to 2014 is 82.03% during the monsoon, 14.78% in the north-east monsoon and winter period, and 3.19% in the summer. The Pearson correlation is therefore investigated by the rainfall in the period 2000 to 2014 and area under maize crop for the period 2000-01 to 2014-15.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Agriculture, Area, Maize Crop, Rainfall, Season.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The main goal of computer vision is to identify and recognize different objects of various size, shape and position. The major problems faced by the computer vision is the illumination and the viewpoint of the object, Concerning this multiple studies on detecting and recognizing objects that showed a high level of accuracy and precision on these tasks. To facilitate object detection online the proposed work allows the user to track the movement of any cultured object of his/her choice. The user can even choose the colors of his choice to be displayed. By running the Application, the camera is activated thus enabling the user to draw in the air just by waving the tracker object. The drawing is also simultaneously visible on the white window. Instructor can choose any color of his choice displayed above to draw and also can clear the screen when needed. We will be using the computer vision techniques of OpenCV and Python to build this Application

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

OpenCV, Object Tracker, Computer Vision, Python

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Following the emergence of Severe Acute Respiratory Syndrome (SARS) in 2002 and Middle East Respiratory Syndrome (MERS) in 2012, the world is now combating third large scale outbreak caused by coronavirus, the Coronavirus Disease 2019(COVID-19). Since Dec 2019, the global pandemic caused by highly infected novel coronavirus 2019(COVID-19) has been rapidly spreading. In this review we summarize the current diagnostic tools and therapeutic strategies for covid-19.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

COVID-19, Severe Acute Respiratory Syndrome Corona Virus 2 (SARS CoV-2), Diagnosis, Treatment, Vaccines.

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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

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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

Posrtrual trachycardia syndrome(POTS), midodrine hydrochloride, blood pressure, dizziness and fainting,

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The COVID-19 coronavirus has had a wide range of effects on countries, communities, and individuals, ranging from school closures to health-care insurance concerns, not to mention deaths. As governments struggle to address these issues, a slew of blockchain-based solutions has sprung up to address the global health epidemic. Blockchain is a distributed, immutable record that allows for faster transactions. The practice of recording transactions and tracking assets in a corporate network is known as transaction recording and asset tracking. Intellectual property, patents, and copyrights are examples of intangible assets that are not physical, such as a house, cash, or land. In an ideal scenario, blockchain would provide an immutable ledger containing real-time, shared, and completely transparent data that could only be viewed by members of a permissioned network. Pharmaceutical supply chains are intricate. Using blockchain to ensure pharmaceutical traceability and compliance with the Drug Supply Chain. Existing healthcare blockchains are being built with patient data management in mind. Management, insurance, provider directories, and worker credentialing are all things that need to be considered. In this article, we will look at how blockchain has influenced healthcare and pharmaceuticals during the pandemic, as well as blockchain applications in these two industries.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Blockchain, immutable, tangible, intangible, pharmaceuticals, credentialing.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Abstract: Sublethal effects of endohyper on biochemical constituents were studied in Mystus vittatus for the period of ten days. M.vittatus exhibited maximum tolerance up to 0.006ppm concentration. In the sublethal concentration (0.002ppm) protein, carbohydrate, lipid content of muscle and liver were reduced and acid and alkaline phosphatase enzyme activity were increased when the days of exposure increased

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Mystus vittatus, Endohyper, Protein, Carbohydrate, Lipid.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The project is about handwriting digital recognition which is one of the most important processes in pattern recognition applications. Some of the digital recognition requests are email filtering, processing of bank checks, data entry form, etc. The aim of our project is to create an efficient algorithm that can accurately detect handwritten and collected digits from scanners, tablets and other digital devices. This project discusses the solution to part of the problem as we limit the limit to only handwritten digits i.e. (0-9). We trained the model using Cumulative Neural Networks to obtain digital recognition. We have used 'MNIST DATABASE' which contains training and testing set of handwritten digits (0-9) of size (28x28) of pixels i.e. 784 pixels. Our set of training data contains 60,000 and test data contains 10,000. The limit for this model will be if the outside digits (0-9) given to the model will not be able to detect and distinguish it and the model will only be able to predict numbers in black and white images

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Deep Learning, Convolution Neural networks, OpenCV, Tensorflow

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Creative Commons Attribution 4.0 and The Open Definition