Volume 9 | Issue 6 |

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Pulse Oximeter, HR, Arduino, bpm, SpO2, Photoplethysmography, NodeMCU, LCD, MAX 30102

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: With the development of deep learning, the combination of computer vision and natural language process has attracted a lot of attention in the last few years. Caption embedding is representative of this file, which enables the computer to learn to use one or more sentences to understand the visual content of the image. The efficient process of producing high-definition semantics is required not only for the recognition of an object and the scene, but also for the ability to analyze the state, attributes and relationships between these objects. Although captioning is a difficult and difficult task, many researchers have found significant improvements. In this project, we describe in detail the three ways to insert image captions using deep neural networks CNN-RNN based, CNN-CNN-based framework and based on reinforcement. We then present the work representing the top three methods in a row, explain the metrics for testing and summarize the main advantages and disadvantages. Over the past few years, the problem of making automated descriptive sentences for photographs has gained a growing interest in natural language research and computer-based research. Image captioning is an important task that requires a basic understanding of images and the ability to produce descriptive sentences with appropriate and appropriate structure. In this study, the authors propose a hybrid system that uses the multilayer Convolutional Neural Network (CNN) to produce visual vocabulary and Long Short Term Memory (LSTM) to organize sound sentences using generated keywords. A convolutional neural network compares the image to a large database of training images, and creates an accurate description using trained captions.

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Creative Commons Attribution 4.0 and The Open Definition

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Image Caption, CNN, RNN.

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Creative Commons Attribution 4.0 and The Open Definition

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This study has been undertaken to investigate the front layer deflection of metallic sandwich panel under blast loads. This study analytically evaluated the deformation of front layer of honeycomb sandwich panel using different core materials (Steel and Aluminium) and fixed outer layer material (Steel). Results shows Aluminium core with steel outer layer combination shows better performance under blast load. 500 g of Trinitrotoluene (TNT) used as blasting material and the finite-element model simulated using dynamic nonlinear explicit software ANSYS Workbench 16. 1.

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Creative Commons Attribution 4.0 and The Open Definition

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Honeycomb sandwich panel, TNT, Core topology

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Creative Commons Attribution 4.0 and The Open Definition

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The role of Cryptocurrency has been really important in reshaping the financial system due to its increasing popular appeal and worldwide acceptance. A lot of people have started to make investments in Cryptocurrency, but the dynamical features, uncertainty, and predictability of Cryptocurrency are still mostly unknown, which dramatically risks the investments. It is a matter of trying to understand the factors that influence the value formation. In this study, we use advanced artificial intelligence frameworks of Long Short Term Memory (LSTM) and Recurrent Neural Network (RNN) to predict the price of different cryptocurrencies. Evaluation of these algorithms is carried out to determine better prediction to analyze the price dynamics of different cryptocurrencies including Bitcoin, Ethereum, and Ripple. However, the explanation of the predictability could vary depending on the design of the machine-learning model which is implemented.

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Creative Commons Attribution 4.0 and The Open Definition

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Long Short Term Memory, Recurrent Neural Network, Cryptocurrency, Machine Learning

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Creative Commons Attribution 4.0 and The Open Definition

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Health information needs also are changing the knowledge seeking behavior and may be observed round the globe. Challenges faced by many folks are looking online for health information regarding diseases, diagnoses and different treatments. If a recommendation system can be made for doctors and medicine while using review mining will save plenty of some time. In this system like these, the user faces many problems in understanding the core medical vocabulary as the users are laymen. User is confused because an outsized amount of medical information on different mediums are available. The idea behind recommender system is to adapt to affect the special requirements of the health problems of a user.

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Creative Commons Attribution 4.0 and The Open Definition

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Python machine learning disease symptoms identifier

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Creative Commons Attribution 4.0 and The Open Definition

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This study has been undertaken to investigate the load carrying capacity of different bolt arrangement in HSS steel beam column joint with damage control fuse plate connection. Fuse plate with 4 bolt arrangements are analyzed using ANSYS 16.0. Extensive research has been carried out on steel moment frames to improve the cyclic performance of moment connections with different bolt arrangements. . The connection features are modified bolt arrangements designed to promote distribution of forces across the bolt group. The behavior of twelve bolt fuse plate connection with butterfly, zigzag, hexagonal, x-shape, configuration under cyclic loading was analyzed using ANSYS 16.0. Here four models of bolt arrangements are introduced. .This paper aims to obtain proper ranges for the geometric design parameters such as pitch, spacing for different bolt arrangements. In this order, 4 bolt fuse plate connection were tested under the cyclic loading to evaluate the performance of connections, and then a parametric study was carried out using the verified numerical models

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Creative Commons Attribution 4.0 and The Open Definition

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Bolt arrangement, fuse plate, connection

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Creative Commons Attribution 4.0 and The Open Definition

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Abstract: Movies are a worldwide source of entertainment, and a powerful medium for educating or indoctrinating citizens. As far as the current pandemic situation is concerned, OTT platforms act as one of the most entertaining factors and a significant stress reliever for people around the globe. This project aims to explore all the movies in popular OTT platforms, in order to gain interesting insights. This is carried out with the aid of a Kaggle dataset, collected from Netflix, Prime Video, Hulu and Disney+ API. Dataset contains the complete information of all the movies, their ratings and the corresponding OTT platforms in which they are available. It provides detailed information such as Year of release, Genre, IMDb rating, Director and the Language of each movie. Here in this project we are using Multiple linear regression and Random forest to analyse our data and to get meaning full insights from the data collected from different OTT platforms collected from Netflix, Prime Video, Hulu and Disney+. Furthermore, the result obtained from each of these algorithms are compared to understand their respective suitability under varied conditions

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Multiple linear regression, Random forest Algorithms, OTT Platform Analysis, Netflix, Disney, Prime Video, Hulu , R programming

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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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Erosion of values, impartial elections, improve efficiency, political reality of rural India.

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Creative Commons Attribution 4.0 and The Open Definition

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ABSTRACT The two types of devices, Single Electron tunneling devices (SEDs) and Threshold Logic Gates (TLGs), both have the power of controlling the transport of an electron through a tunnel junction at a certain time. A single electron has the charge which is adequate to store an information in a SED. The switching delay of a Threshold Logic Gate is very small and speed of the processing of TLG based devices will be in the order of? 10?^9. For implementing logic gates and a sequential circuit, TLG, of course, will be a best candidate to fulfill the necessities. When an Ultra-low noise is considered, TLG based circuit will be the best selection for implementing our desired tunneling circuits. Different TLGs like 2-input AND/NAND, 2-input XOR/XNOR, RS Flip-flop, T-Flip-flop have been implemented with the help of concept of linearly separable threshold logic gate of multiple inputs. Almost in every instances, the threshold logic equations, Truth tables and simulated results for them are provided in parallel in due places.

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Creative Commons Attribution 4.0 and The Open Definition

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Keywords: Electron-tunneling, XOR, T Flip-flop, Coulomb-blockade, sequential circuit

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Licence: creative commons attribution 4.0

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Erosion of values, impartial elections, improve efficiency, political reality of rural India.

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Creative Commons Attribution 4.0 and The Open Definition