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Deep Learning Video Streaming Web Application with AI Botsusing NLP

Deep Learning Video Streaming Web Application with AI Botsus...

2023 International Conference on Innovative computing, Intelligent Communication and Smart Electrical Systems, ICSES 2023

作者： Ponmalar, P. Sridevi Singh, Shivam Agrahari, Rahul Kumar SRM Institute of Science and Technology School of Computing Faculty of Engineering and Technology Department of Computational Intelligence Chennai603203 India

ISBN: (纸本)9798350319200

In this digital age, online learning has become increasingly prevalent, but learners often struggle with asking questions and getting immediate clarification. To address this issue, this research paper proposes a solution in the form of a web application that uses deep learning, AI bots, and NLP to generate keywords and provide real-time responses to user queries during video playback. The title of the paper is "Deep Learning Video Streaming Web Application with AI Bots using NLP". It highlights the application's key features and technologies used, including deep learning, AI bots, and natural language processing (NLP). The problem addressed in this paper is the difficulty learners face when seeking real-time answers to their questions during online video tutorials. The proposed solution aims to address this issue by providing a platform that allows users to add questions and answers to a database, which can then be accessed during video playback. The solution presented in this paper uses a combination of deep learning, AI bots, and NLP to generate relevant keywords and provide real-time responses to user queries. The paper outlines the methodology used to develop the application and discusses the results obtained from testing the platform. The analysis output shows that the proposed solution can effectively address the issue of real-time question answering during online video tutorials. The application's use of deep learning, AI bots, and NLP allows for a more personalized and interactive learning experience. The merits of this work lie in the potential to revolutionize the online learning experience by enabling learners to ask questions and get immediate answers. Possible applications of this research include the development of similar web applications for other domains, such as customer service or technical support. Additionally, the findings of this study may inspire further research on the use of deep learning, AI bots, and NLP in online learning and other fiel

关键词： AI bots Deep-Learning NLTK (Natural Language Toolkit)

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Evaluating the Utilization of Grammatical Structures of Arabic Language in Hiding Bits

Evaluating the Utilization of Grammatical Structures of Arab...

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2024 Advances in Science and engineering Technology International Conferences, ASET 2024

作者： Rihan, Yazen Altaweel, Ala Khattab, Khattab Kamel, Ibrahim University of Sharjah College of Computing and Informatics Department of Computer Engineering Sharjah United Arab Emirates Ondokuz Mayis University Faculty of Ilahiyat Samsun Turkey

ISBN: (纸本)9798350344134

Nowadays, there is massive volume of data transmitted constantly through digital mediums. This data faces the risks of various cyber-attacks like eavesdropping, traffic analysis, packet injection, and packet dropping. There has been several security mechanisms to secure sensitive data and ensure their confidentiality, integrity, and availability. Indeed, Encryption, which is the process of converting the plain-text data into a non-understandable form known as the cipher-text, can secure the sensitive data. However, Encryption techniques are costly in terms of computational resources. Steganography, on the other hand, attempts to exploit the redundancy in data representation and structure to hide secret information within the data. Text steganography refers to the art of hiding secret information inside long passages of text. This paper proposes a new text steganography technique that exploits grammatical structures of Arabic language. Specifically, the paper exploits the redundancy in the language structure of Arabic grammar. The paper also presents the results of applying the proposed technique on a large dataset of articles from different categories such as politics, sports, and religion. The conducted experiments measure the number of secret bits that can be hidden in 1000 words for each category. The results show that some steganography rules can perform differently when annlied to different categories of text. © 2024 IEEE.

关键词： Data integrity

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Proposing A Modified Proof of Stake System to Counter 51% Attack in Blockchain 2

Proposing A Modified Proof of Stake System to Counter 51% At...

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2nd IEEE International Conference on Device Intelligence, computing and Communication Technologies, DICCT 2024

作者： Khatoon, Naghma Rishu, Rishav Verma, Sushant Pranav, Prashant Usha Martin University Faculty of Computing and Information Technology Ranchi India Birla Institute of Technology Department of Computer Science and Engineering Mesra Ranchi India

ISBN: (纸本)9798350372847

Blockchain technology has revolutionized many sectors in the past few years. From its application in health care, digital currencies to building smart cities, many sectors have incorporated blockchain based mechanisms to produce better and efficient solutions to many of their long-lasting problems. The technology itself is fast and the reliance of some sectors on it has improved the overall performance of the applications. One of the most important and sought after applications of blockchain is in digital currencies. Cryptocurrencies are used in many different areas now a days and have become the go to investment destination for many individuals. Although blockchain is secured but it has many underlying security issues which need to be addressed to make this emerging technique more reliable. One of the issues with blockchain is double spending or 51% attack in which the miners authenticate suspicious transactions which result in heavy loss. In this paper, a new consensus mechanism called Modified Proof of Stake to defy 51% attack in blockchain is proposed. © 2024 IEEE.

关键词： Blockchain

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Static and Mobile Relay Selection with Chunk-Based Subcarrier Allocation in Uplink OFDMA Networks 65

Static and Mobile Relay Selection with Chunk-Based Subcarrie...

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65th International Symposium ELMAR, ELMAR 2023

作者： Svedek, Velimir Kurdija, Adrian Satja Ilic, Zeljko Croatian Regulatory Authority for Network Industries Zagreb Croatia University of Zagreb Faculty of Electrical Engineering and Computing Zagreb Croatia

ISBN: (纸本)9798350325126

Static and mobile relaying is often used to improve the user data rates in wireless communication networks, which would otherwise suffer due to large distances, interference, obstacles, and fading. In this paper, we propose two algorithms for static and mobile relay selection in order to minimize the total distance between a user and the base station. The most efficient algorithm (according to simulation results) relies on a KD-tree, which is a data structure used for fast retrieval of close points. We also propose a subcarrier allocation algorithm which divides the uplink channel subcarriers into a static chunk used for static relays, and dynamic chunk used for mobile relays and direct users. Dynamic allocation should be performed in real-time by the edge network, while static allocation can be perfomed periodically by the cloud network. Simulation results show that a greedy variation of the proposed allocation strategy is faster and more appropriate for the dynamic chunk, while the AP (assignment problem) variation gives slighty higher data rates and can be used for the static chunk. © 2023 IEEE.

关键词： Orthogonal frequency division multiplexing

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Developing Engagement in the Learning Management System Supported by Learning Analytics

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Computer Systems Science & engineering 2022年第7期42卷 335-350页

作者： Suraya Hamid Shahrul Nizam Ismail Muzaffar Hamzah Asad W.Malik Department of Information System Faculty of Computer Science and Information TechnologyUniversiti MalayaKuala LumpurMalaysia Faculty of Computing and Informatics Universiti Malaysia SabahSabahMalaysia Department of Computing School of Electrical Engineering and Computer Science(SEECS)National University of Sciences and Technology(NUST)IslamabadPakistan

Learning analytics is an emerging technique of analysing student par-ticipation and *** recent COVID-19 pandemic has signiﬁcantly increased the role of learning management systems(LMSs).LMSs previously only complemented face-to-face teaching,something which has not been possible between 2019 to *** date,the existing body of literature on LMSs has not analysed learning in the context of the pandemic,where an LMS serves as the only interface between students and ***,productive results will remain elusive if the key factors that contribute towards engaging students in learning are notﬁrst identiﬁ***,this study aimed to perform an exten-sive literature review with which to design and develop a student engagement model for holistic involvement in an *** required data was collected from an LMS that is currently utilised by a local Malaysian *** model was validated by a panel of experts as well as discussions with *** is our hope that the result of this study will help other institutions of higher learning determine factors of low engagement in their respective LMSs.

关键词： Engagement analysis learning analytics learning management system student engagement

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Massive Phased Array Antenna With ±50° Beam Steering For Space Communications at W-Band Frequency

Massive Phased Array Antenna With ±50° Beam Steering For S...

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IET 6G and Future Networks Conference, IET 6G 2024

作者： Alfadreek, Assadeg Roula, Ali Otung, Ifiok Uggalla, Leshan Faculty of Computing Engineering and Sciences University of South Wales Treforest United Kingdom Bradford-RenduchintaIa Centre for Space AI University of Bradford United Kingdom

ISBN: (纸本)9781837241521

In this study, a 320x320 millimeter-wave phased array antenna was designed and simulated using periodic boundary condition method (CAD-FEKO platform) for future W-baml transmitting Earth-to-Space communication. The utilization of phased array antennas presents an opportunity to enhance interference mitigation while optimally utilizing available bandwidth. This capability stems from their dynamic capacity to steer the primary beam, which emits the strongest radiation, towards the desired target direction. The focuses of this article is on design and analysis of the front end of a 75 GHz phased array antenna enabling electronic beam steering in two dimensions. The simulation results for the 320x320 element Phased Array Antenna (PAA) elucidate the antenna's far-field radiation patterns across various steer angles. The array antenna exhibits a gain exceeding 51.8 dBi with Azimuth and Elevation ±50° beam scanning. Beyond this limit, the gain decreases below 51.8 dBi. and the radiation pattern coverage toward an Endfire configuration. Additionally, the Half Power Beam Width (HPBW) is ≤ 0.65°, further enhancing its utility as W-band transmitting earth station terminal antennas for satellite communication. The investigation into their performance and viability unveils promising prospects for advancing communication systems within the specified frequency range. © The Institution of engineering & Technology 2024.

关键词： Microwave antennas

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Secure Goods Storage and Anti-Theft Approach using Ethereum Blockchain 5

Secure Goods Storage and Anti-Theft Approach using Ethereum ...

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5th International Conference on Innovative Data Communication Technologies and Application, ICIDCA 2024

作者： Amasala, Likhitha Ponnuru, Mahesh Srideviponmalar, P. School of Computer Science and Engineering Vellore Institute of Technology Amaravathi522237 India School of Computing SRM Institute of Science and Technology Potheri603203 India Department of Computational Intelligence School of Computing Faculty of Engineering and Technology SRM Institute of Science and Technology Potheri603203 India

At present, technological systems lack a secure and transparent method for tracking goods and preventing theft in e-commerce, leading to trust issues and data vulnerabilities. There is a pressing need for a comprehensive solution that integrates Ethereum blockchain, IPFS, and advanced cryptographic techniques to address these challenges and enhance the security and transparency of transactions. This research paper presents a robust system that harnesses the Ethereum blockchain, IPFS (Interplanetary File System), and advanced cryptographic algorithms to create a secure, decentralized approach for tracking goods and preventing theft incidents. Unique identifiers and related information will be sent to the mail of the customer and same should entered by the customer for successful transaction. By assigning unique identifiers to purchased products and employing cryptographic techniques to encrypt sensitive data, our system ensures both user privacy and the creation of an immutable transaction ledger. Users can efficiently manage their purchased goods, block stolen items, and communicate with sellers through an intuitive interface. Additionally, the system provides sellers with a comprehensive transaction history, enhancing accountability and transparency within the supply chain. Through this research, we demonstrate the effectiveness of our blockchain based anti-theft measures, underpinned by Ethereum, IPFS, and cutting-edge cryptographic algorithms, in fostering secure, trustless transactions. This work highlights the transformative potential of blockchain technology and decentralized protocols in revolutionizing security and transparency across diverse sectors. © 2024 The Authors. Published by Elsevier B.V.

关键词： Smart contract

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Evaluating the Performance of Different Text Detection and Recognition Models for Tyre Text 11

Evaluating the Performance of Different Text Detection and R...

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11th International Conference on ICT for Smart Society, ICISS 2024

作者： Hendra, Jayson Mikael Subrata, Peter Nelson Qomariyah, Nunung Nurul Jauw, Veronica Lestari School of Computing and Creative Arts Bina Nusantara University Computer Science Department Jakarta11480 Indonesia University of Nottingham Faculty of Engineering Selangor Malaysia

ISBN: (纸本)9798350389654

Computer Vision is a large part of artificial intel-ligence, specifically Optical Character Recognition. OCR helps by processing text and letters into digital content. One use case where Text recognition is not significant is tyre text. One challenge for the tyre text is the contrast between the text and its background. Using pre-trained text region detection and recognition models, this paper aims to recognize text using several models. Textsnake and CRAFT are used for text region detection, while ABINet, ASTER, and MORANv2 are used for text recognition. Results show Textsnake and ABINet to be the best. It was found that CRAFT had more correct detections by 5% on raw images and 1% on preprocessed images, but Textsnake was better for phrases and finding regions. As for Text recognition, it was observed that ABINet is better overall, with an accuracy of 40%, whilst ASTER is at 33%. Despite MORANv2 being the fastest by 25x, it was very inaccurate. In the end, using Textsnake and ABINet is the best out of all. © 2024 IEEE.

关键词： Computer vision Optical Character Recognition (OCR) Text Region Detection Tyre sidewall Tyre Text

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Visualizing Code Syntax: Empowering Developers with a Global View for Enhanced Code Quality Evaluation 16

Visualizing Code Syntax: Empowering Developers with a Global...

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16th International Conference on Advanced Computer Theory and engineering, ICACTE 2023

作者： Adjel, Chaima Atil, Fadila Meslati, Djamel Laboratory Lisco University Badji Mokhtar-Annaba Faculty of Electrical Engineering and Computing Computer Science Departement Annaba Algeria

ISBN: (纸本)9798350317534

This article discusses the issues that come with system evolution, specifically the challenges of comprehending and maintaining old code created by unreachable developers. In this instance, we want to highlight the value of using code visualization to get a global perspective of the components and their dependencies, since this can assist in recognizing any possible structural problems. Additionally, visualization can shed light on the code's scalability and performance properties. A well-written program with clear syntax that respects low coupling and separation of concerns makes system maintenance and evolution easier, which saves time and money. Adopting a scalable and flexible language also makes maintenance and development smoother. In this paper, we made a visualization of Mage code in order to evaluate its syntax flexibility and scalability. © 2023 IEEE.

关键词： Visualization

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Deep Learning-Based Malaysian Sign Language (MSL) Recognition: Exploring the Impact of Color Spaces 14

Deep Learning-Based Malaysian Sign Language (MSL) Recognitio...

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14th International Conference on Computer and Knowledge engineering, ICCKE 2024

作者： Moung, Ervin Gubin Suwek, Precilla Fiona Sufian, Maisarah Mohd Liaw, Valentino Farzamnia, Ali Khong, Wei Leong Faculty of Computing and Informatics University Malaysia Sabah Kota Kinabalu Sabah Malaysia School of Computing and Engineering University of Huddersfield West YorkshireHD1 3DH United Kingdom School of Engineering Monash University Malaysia Bandar Sunway Selangor Malaysia

ISBN: (纸本)9798331511272

Sign language is one form of communication for this group of people to communicate with each other. Not only for people with hearing problems but sign language is also useful for people who are mute or have problem speaking. The most used sign language is the American Sign Language (ASL) that is widely used in English speaking countries. In Malaysia, Bahasa Isyarat Malaysia (BIM) or Malaysian Sign Language (MSL) is still a new teaching to the community in Malaysia. Hence, in this project, a dataset with 5980 images of the signed alphabet is used to train models to recognize what the signs mean. The problem this project aims to address is the limited research and the availability of datasets in the field of Malaysian Sign Language (MSL) recognition using deep learning and various color spaces. Two deep learning models that are used are Convolutional Neural Network (CNN) and Residual Network 18 (ResNet18). The images are also converted into different color spaces which are RGB, YCbCr, Grayscale and the combination of RGB and YCbCr. The findings reveal that RGB is the most effective color space for CNNs, achieving up to 83.9% accuracy, while YCbCr performed best with ResNet18, achieving 88.3% accuracy. These results demonstrate the importance of color space selection in sign language recognition and contribute to the growing body of research on MSL. Key metrics such as precision, recall, and F1-score further underscore the robustness of the proposed system. ©2024 IEEE.

关键词： Convolutional neural networks

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