Volume 9 | Issue 6

 Abstract

Now a days cloud has become one of the fascinating domain in order to store and retrieve all the data from the remote machines rather from the local machines. In general cloud is always store the data in centralized server and all the users need to connect to the centralized server location for storing or accessing the data to and from the cloud server. Now a days fog computing is increasing its demand for data storage because, the fog computing is deployed at the edge of network, offering low error rates to users. In this project, we investigate an scheme by taking three fog nodes along with data owner and public cloud services(PCS) for storing and accessing the file in a secure manner. The proposed application provide a best feature to store and access the data from the cloud in a secure manner by utilizing the storage space and without wasting the storage space.

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TOWARDS FOG CENTRIC SECURE CLOUD STORAGE SCHEME

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A Secure Searchable Encryption Framework for Data Security using Personal Data Storage (PDS) Module

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Now a days almost all the colleges try to collect attendance based on either manual or some bio metric ways.So it is becoming a lot of effort to take all the attendance and maintain them.Hence in this application we try to take attendance based on real time video sequence by collecting the student face from web camera and then check with database and find out whether he is present or absent for that day.

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FACE RECOGNITION ATTENDANCE SYSTEM BASED ON REAL-TIME VIDEO PROCESSING

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This paper presents a comparative study and analysis between Various Nano meter CMOS technology used to implement the Radiated Hardened 14T-SRAM. The technology used in this paper include 65-nm, 28-nm, 22nm and 16nm technology. In order to design and Implement of 14T-SRAM that is used for Space applications, a precise CMOS technology and speed, power and area has been considered. A comparison has been made on basis of the CMOS technology, Area and Power between the simulation results. Comparison of these models have been made with proposed design CMOS Technology.

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CMOS, Power, Area, Technology, Radiation Hard By Design (RHBD),VLSI

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 Abstract

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Artificial intelligence, IMSI Catcher. radio frequency, code language, Network, IoT

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India is the most populous country in the world. Almost half of its population is women. If the country wants to develop itself both men and women should take active part in all the Developmental Programmes. If women are not brought into mainstream society, the policies or the programmes initiated by the National and respective State Governments may not result in achieving the expected out comes. Therefore, empowering the women folk is an essential requirement to make them as active participants in the developmental processes. Unfortunately the women in particular, more specifically the women belonging to SC, ST and Minorities are lagging behind in the economic and educational front. Further, they are alienated from the mainstream society and hence they are not taking active part in the developmental programmes as expected.

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empowerment, women development, individual challenges etc.,

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

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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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Agriculture, Area, Maize Crop, Rainfall, Season.

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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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OpenCV, Object Tracker, Computer Vision, Python

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

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

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

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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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Mystus vittatus, Endohyper, Protein, Carbohydrate, Lipid.

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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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Deep Learning, Convolution Neural networks, OpenCV, Tensorflow

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The study looked at the economic impact of tourism on the Devangas weaver's community in Krishna District. The economic impact of tourism on residents is measured using a five-point Likert Scale. The current study is based on primary data collected at random from residents of specific locations. A questionnaire was used to interview respondents. The quantitative data is analyzed using econometric and non-econometric methods to determine the significant impacts on residents of the chosen destinations. The findings indicate that tourism development has a significant impact on the income, employment, and asset generation of Krishna District residents. Furthermore, policy recommendations are made in the paper.

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Tourism, Local Resident, Economic Impact, Weaver's Community

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 Abstract

Loan prediction is a very common real-life problem that each retail bank faces at least once in its lifetime. If done correctly, it can save a lot of man hours at the end of a retail bank. Customers first apply for a home loan after that company validates the customer eligibility for the loan. The loan eligibility process (real time) can be automated based on customer details provided through for example filling an online application form. These details can be Gender, Marital Status, Education, Number of Dependents, Income, Loan Amount, Credit History and many more. Hence the goal is to identify the customer segments that are eligible and in fact germane for loan amounts so that they can be specifically targeted. In this first Phase, some preliminary operations were carried out to understand all the features clearly. Visualization of all the variables for instance Married, to determine whether the married tend to repay the loans back or the unmarried was done. Similarly Gender, Self Employed, Applicant Income, Credit History, and on Independent Variables like Education etc.. Plotting Box and Bar Plots. All the variables were normalized before Plotting and cross checked if it is Normal using graphs. Some of the Bivariate Analysis Include Loan Status and Education etc. Loan status is our Target Variable. Data cleaning includes dealing with missing values Mean (without outliers) and Mode (with Outliers) Replacement Method. Also Correlation is visualized using Heat map. In the Upcoming Phases, the plan is to progress further by performing feature engineering, Model Building using regression etc..

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Data Analysis, Visualization, Machine Learning, Loan Prediction, Retail Banking, Validation, Eligibility

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 Abstract

Corona virus 2019 (Covid-19) is an infectious disease caused by SARSCoV-2 (severe acute respiratory syndrome) (SARSCoV-2). As a result, the World Health Organization (WHO) and nearly every country's health agency has recommended that the best medication for combating the COVID-19 pandemic is keeping social distance and quarantine. This pandemic has had a negative impact on practically every element of human life, as well as many business sectors and global areas. Another big issue is the bogus information epidemic (sometimes known as the "disinfo epidemic"), which is intensifying the pandemic. In these circumstances, blockchain technology can be used to discover health security problems, analyze preventive actions, and speed up decision-making processes so that action may be taken quickly and effectively. We begin by noting some of the broader issues that have developed throughout the COVID-19 outbreak.

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Blockchain, Pandemic, Infodemic, WHO, Corana Virus(Covid-19), Vaccine

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