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Research Paper

Efficient cloud data storage and file management using AWS S3 bucket

In the world of IT, end-user data is considered to be the basis of everything. A huge amount of data is added every day to the system and a far greater amount of data is being modified every second. Everyone expects that storing of data should be on the go and that their data should be safe and secure. While keeping the data secure, the procurement of the same should be seamless and fast. To serve this purpose, one of the dominant and reliable, technologies of the 20th century has been provided by one of the many products of Amazon Web Services by the name of Simple Storage Service(S3) that can store and retrieve huge amounts of data from any form of application, be it web-based or mobile, at an incredible speed. The data stored in S3 uses a flat-file system that is easy to understand and implement. Amazon S3 (Simple Storage Service) provides object storage, that is built for storing and recovering any amount of information or data from anywhere over the internet. It provides this storage through a web services interface. It can also store different file formats up to 5 terabytes in size. The scope of this project is to establish easy upload/retrieval of files from AWS S3 storage using different compression techniques and perform file operations on it. This way, one will be able to check which compression technique works efficiently in terms of compressed data size and also if the original data or file is corrupted, compromised, or destroyed, a backup is available on the cloud to recover. The proposed methodology also targets a few of the limitations of the flat file system of AWS S3 and provides a solution in the form of directory structure which on implementation can result in more security and can tackle inconsistency even for huge databases.

Published by: B. Akhil Kumar, Dr. T. Uma Devi

Author: B. Akhil Kumar

Paper ID: V8I3-1379

Paper Status: published

Published: June 6, 2022

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Others

Image-based pothole detection using Machine Learning

Potholes can generate damage to vehicles which may lead to many accidents. Thus, accurately detecting potholes is one of the important tasks for determining proper strategies in ITS service and road management systems. Many attempts are made for developing a technology that can automatically detect and recognize potholes. One great solution is to utilize image processing techniques, as various sources of images are available, e.g., surveillance cameras, in-vehicle cameras, or smartphones. These image-based solutions help to detect and classify road damages. An image related to road damage includes objects such as potholes, shadows, lanes, and cracks, so it is hard to detect a specific object. In this paper, we propose an image-based pothole classification model. The proposed method converts RGB image data, including potholes and other objects, to grayscale to reduce computation time. It detects all objects using an object detection algorithm. We are using Gaussian and median filtering to reduce noises in the image. We use k-means clustering and the YOLO algorithm for segmentation. We are using CNN algorithm for image classification. It will show if the road has potholes or not.

Published by: Dhanalakshmi M., Sharmila . A, Reena . R

Author: Dhanalakshmi M.

Paper ID: V8I3-1378

Paper Status: published

Published: June 4, 2022

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Others

Fog removal in an image using fuzzy c-means and active contour segmentation

Edge-maintaining smoothing is a picture processing approach that smooths away textures whilst keeping sharp edges. Image de-noising is the approach to lessen noises from corrupted pics. The goal of image denoising is to enhance the evaluation of the picture or notion of records in pics for human visitors or to offer higher output for different automatic picture processing techniques. The severe risk of air pollutants to human fitness makes air first-rate awareness of public attention, and effective, well-timed air first-rate tracking is vital to pollutants manipulation and human fitness. This paper proposes a deep getting to know and picture-primarily based totally version for air first-rate estimation. The noise introduces itself into a picture by changing a number of the pixels of the unique picture through new pixels having luminance values close to or identical to the minimal or most of the allowable dynamic luminance range. Preprocessing an image is a good way to adjust the picture for similar classes and segmentation

Published by: Abirami S., Kaviya.P, Reena.R

Author: Abirami S.

Paper ID: V8I3-1382

Paper Status: published

Published: June 4, 2022

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Research Paper

Artificial Intelligence: Based Voice Assistance

Technological advancements in Artificial Intelligence (AI) are among the most recent to arise, carrying with it difficult and innovative features that are increasing at a rapid pace. While it appears that these technologies are becoming extensively accepted, some people do not want to use them in specific situations. In fact, its been studied extensively for many decades, and there are a plethora of generic models available in literature that explain how humans respond to new technological developments. The development of more special model for new technologies different properties, on the other hand, appears to be required. Using the information gathered from this research, we have constructed a concept model that includes a new scheme performance construction known as "interaction quality," which we believe is more accurate in depicting the deployment of artificial intelligence-based innovations. In addition to the double our model, we make use of such a voice-activated assistant to help us with our research.

Published by: Akash Keisham, Ratikant Dehury, Albin Sunny, Amit Kumar

Author: Akash Keisham

Paper ID: V8I3-1205

Paper Status: published

Published: June 3, 2022

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Research Paper

Stock Price Prediction using Machine Learning

The stock request is known for being unpredictable, dynamic, and nonlinear. Accurate stock price is extremely grueling because of multiple factors, similar as politics, global profitable conditions, unanticipated events, a company’s fiscal performance, and so on. A stock request, equity request, or share request is the aggregation of buyers and merchandisers of stocks (also called shares), which represent power claims on businesses; these may include securities listed on a public stock exchange, as well as stock that's only traded intimately, similar as shares of private companies which are vended to investors through equity crowd funding platforms. Investment is generally made with an investment strategy in mind. A stock exchange is an exchange where stock mediators and dealers can buy and vend shares (equity stock), bonds, and other securities. Numerous large companies have their stocks listed on a stock exchange. This makes the stock more liquid and therefore more seductive to numerous investors. Trade in stock requests means the transfer of a stock or security from a dealer to a buyer. This requires the two immediate to agree on a price. Equities (stocks or shares) confer a power interest in a particular company. The purpose of a stock exchange is to grease the exchange of securities between buyers and merchandisers, therefore furnishing a business. The exchanges give real- time trading information on the listed securities, easing price discovery.

Published by: Talagana Harikrishna, P. J. Santosh Kumar Madabattula

Author: Talagana Harikrishna

Paper ID: V8I3-1376

Paper Status: published

Published: June 3, 2022

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Research Paper

Objectual understanding of the moments of the Sun and Moon, The Symbological Approach

Objectual understanding of the moments of Sun and Moon in the context of Earth geographical changes influenced by the living and nonliving beings functions followed for better balancing position and the symbological approach. Research-based on the functions followed in ancient and modern times by understanding the moments of the Sun, Moon, and Earth for improving better balance and going through the right directions for obtaining good balancing positions. Explaining the symbological approach for symbolic communication based on the moments of the sun and the moon.

Published by: Yalla Venkata Chalapathi Rao

Author: Yalla Venkata Chalapathi Rao

Paper ID: V8I3-1375

Paper Status: published

Published: June 3, 2022

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