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检索条件"任意字段=International Conference on Information Technology - Coding and Computing"

共 195250 条记录，以下是4751-4760 订阅

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Scalable and Efficient Real-Time Data Processing in Cloud-Based Manufacturing Systems 15

Scalable and Efficient Real-Time Data Processing in Cloud-Ba...

引用

15th international conference on computing Communication and Networking Technologies, ICCCNT 2024

作者： Kale, Meenal R. Labhane, Suchitra Manu, S.E. Mehta, Pradnya Amudha, A. Gupta, Anchal College of Engineering Nagpur Department of Mathematics and Humanities Yeshwantrao Chavan Maharashtra India Datta Meghe Institute of Management Studies Department of MBA India Deemed to be University School of Engineering and Technology Civil Engineering JAIN Karnataka Bangalore India Vishwakarma Institute of Information Technology Department of Computer Engineering Pune India Karpagam Academy of Higher Education Department of Electrical and Electronics Engineering Coimbatore641021 India Chitkara University Institute of Engineering and Technology Chitkara University Punjab India

ISBN: (纸本)9798350370249

Cloud-based technologies have redefined the manufacturing industry, but there are hurdles to overcome when trying to reign in all that real-time data created throughout your production process. This research discusses the Scalable and Efficient Real-Time Data Processing Solution in Cloud-based Manufacturing Systems. It uses a hybrid architecture incorporating edge and cloud computing technology for real-time data processing and analysis. On one end, the edge devices collect data from the factory floor in real time and process them to an extent similar to what is known as preprocessing but performing it at local sites. At the same time, cloud servers target enhanced computational tasks and longerterm analytics, which are measurements of hours or days. The proposed solution needs to be highly scalable and can process vast volumes of data from multiple sources simultaneously. It also incorporates techniques for efficient data processing, like adjusting the frequency and filtering of read points to reduce calculation time and storage needs. © 2024 IEEE.

关键词： Smart manufacturing

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Depth Estimation Method for Monocular Images Combined with Position Estimation 13

Depth Estimation Method for Monocular Images Combined with P...

引用

13th international conference of information and Communication technology, ICTech 2024

作者： Wang, Hongliang Liu, Xingyu Li, Yang Xing, Guoyang Shenyang Institute of Computing Technology Chinese Academy of Sciences University of Chinese Academy of Sciences Liaoning Province Human-Computer Interaction System Engineering Research Center Based on Digital Twin Shenyang China

ISBN: (纸本)9798350376258

—In this paper, we propose a monocular image depth estimation method based on ResNet and bitmap estimation. Traditional monocular depth estimation methods usually utilize convolutional neural networks (CNNs) for end-to-end training, but often require large amounts of labeled data. To overcome the problem of difficult data labeling, we use a competitive cooperative learning approach to jointly train depth estimation networks, camera motion estimation, optical flow estimation, and motion segmentation networks. We use ResNet as the backbone network for depth estimation, which achieves efficient feature transfer through residual concatenation. In addition, we introduce a bit-position estimation module to assist the depth estimation task by estimating camera motion and bit-position information. Experimental results show that our proposed method achieves good performance in the monocular depth estimation task and still achieves satisfactory results in the absence of labeled data. ©2024 IEEE.

关键词： Convolutional neural networks

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E-Gait: Enhanced Efficient Graph Convolution Network for Gait Recognition 17

E-Gait: Enhanced Efficient Graph Convolution Network for Gai...

引用

17th international conference on Machine Vision, ICMV 2024

作者： Naz, Neelma Rasheed, Saim Ali, Sara Sajid, Hasan National University of Sciences & Technology Islamabad Pakistan Faculty of Computing & Information Technology King Abdulaziz University Jeddah Saudi Arabia

ISBN: (纸本)9781510688278

Gait recognition is a promising biometric technology because it can recognize individuals based on their walking patterns, even from a distance. Traditional methods used for gait recognition have relied on extracting gait features from a person's silhouette sequence. While silhouette-based methods have been effective, they come with several limitations. Silhouette images often lack detailed spatial information or might include irrelevant visual information unrelated to gait, which can affect identification accuracy and introduce system vulnerabilities. In contrast, model-based methods, specifically those leveraging advances in human pose estimation, have gained traction recently. In this paper, we propose E-Gait, which combines individual's pose information with an Efficient Graph Convolutional Network (GCN). The proposed method uses separable convolution layers based architecture to extract effective gait features. We also use a spatiotemporal joint attention mechanism that directs the model to focus on the most significant joints, thereby learning efficient spatiotemporal patterns. Extensive experimentation on a popular gait dataset Casia-B demonstrates significant performance improvements of 5.11% and 1.05% in terms of average rank-1 accuracy over state-of-the-art (SOTA) pose-based methods. Additionally, we provide visualizations of activated joints to illustrate the efficacy of our proposed model in deriving gait specific features. © 2025 SPIE.

关键词： Gait analysis

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Quantum security analysis of SM4 algorithm 6

Quantum security analysis of SM4 algorithm

引用

6th international conference on Wireless Communications and Smart Grid, ICWCSG 2024

作者： Yang, Hao Wang, Chunhong Tang, Xueming Cui, Yongquan Lu, Songfeng Cai, Dunbo Qian, Ling Zhang, Runqing Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering Huazhong University of Science and Technology Wuhan430074 China Wuhan Maritime Communication Research Institute Wuhan430010 China Software Technology Co. Ltd. Suzhou215153 China

ISBN: (纸本)9781510682962

The security of commercial encryption algorithms has always been a focus of attention. The SM4 algorithm, a commercial cryptographic standard, has been recognized by ISO/IEC as an international standard and has shown excellent performance on classical computers. However, with the development of quantum computing, traditional encryption algorithms are facing new challenges. This paper investigates the quantum realization of SM4 algorithm. By applying the Grover algorithm to the SM4 algorithm, we conducted a quantum exhaustive attack and provided an estimation of the required quantum resources. This study offers a novel perspective on the application of quantum computing in breaking commercial encryption algorithms, which holds significant implications for the future development of quantum secure communication and cryptography. © 2024 SPIE.

关键词： Encryption algorithms

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international Sports Competition Live Streaming System Under Computer Big Data technology

International Sports Competition Live Streaming System Under...

引用

2023 international conference on Applied Physics and computing, ICAPC 2023

作者： Ma, Yongping Xinjiang University Xinjiang Urumqi China

ISBN: (纸本)9798350359244

With the rapid development of information technology, there have been significant changes in the way international sports competitions are broadcasted and the viewing habits of the audience. In the past, traditional live streaming relied on broadcasting methods, with audiences receiving unified content and limited interactivity and personalized experience. But with the integration of big data, AI (artificial intelligence), and cloud computing technology, live streaming systems not only provide high-quality audio-visual experiences, but also personalized content and interactive viewing experiences. Therefore, this article mainly uses computer big data technology to design an international sports live broadcast system, taking football as an example. This article focuses on the application of big data in football and sports live streaming, discussing how to use real-time data analysis to enhance the viewing experience, and briefly analyzing how to optimize live streaming content based on audience preferences and feedback. Finally, simulation and questionnaire survey experiments were conducted, and the results were as follows: the optimized live streaming system improved the accuracy of capturing critical moments by 14.1%, efficiency by 20.8%, and user satisfaction by 9.5 points compared to traditional live streaming systems. © 2023 IEEE.

关键词： Big data

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Leveraging Blockchain technology for Secure and Efficient Storage of Medical Data 16

Leveraging Blockchain Technology for Secure and Efficient St...

引用

16th IEEE international conference on Computational Intelligence and Communication Networks, CICN 2024

作者： Rai, Aryan Naik, Mahek Ida Seraphim, B. Srm Institute of Science and Technology Department of Computing Technologies Chennai India

ISBN: (纸本)9798331505264

This study investigates the utilization of blockchain technology for the secure and transparent management of healthcare data. Utilizing the immutable and decentralized characteristics of blockchain, the proposed system guarantees stringent access control and adherence to GDPR and HIPAA standards. Smart contracts facilitate automated data transfer, allowing patients to retain control over their medical records while granting healthcare organizations secure and verifiable access. This paper emphasizes blockchain's disruptive potential in establishing a scalable, secure, and patientcentric healthcare ecosystem by tackling issues such as data breaches, illegal access, and the lack of interoperability in conventional systems. © 2024 IEEE.

关键词： Electronic health record

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Research on the Application of Computer Vision technology in the Adversarial Judgment System in Competitive Sports Competitions 2

Research on the Application of Computer Vision Technology in...

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2nd international conference on Data Analytics, computing and Artificial Intelligence, ICDACAI 2023

作者： Tang, Yong Hunan University of Humanities Science and Technology Hunan Changsha China Hunan Normal University Hunan Changsha China

ISBN: (纸本)9798350339765

In recent years, computer vision technology has experienced a period of rapid development, and it has achieved remarkable results on core problems in various fields. At the same time, with the iterative development of 5G communication, mobile Internet, terminal equipment and other related technologies, massive amounts of video data will continue to be generated every minute and every second in the world. The large-scale video data has prompted the research carrier of computer vision to gradually develop from static pictures to video sequences, and the socially concerned objects are also shifting from target instance information in single-frame images to target motion information in consecutive multi-frame images. The automatic tracking technology of complex motion and posture based on machine vision technology effectively utilizes the image data processing ability of computer vision technology, and provides a strong data foundation for the application in the confrontation judgment system in competitive sports competitions. © 2023 IEEE.

关键词： Computer vision

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Smart Proctoring System Using AI 3

Smart Proctoring System Using AI

引用

3rd international conference on Pervasive computing and Social Networking, ICPCSN 2023

作者： Bommireddy, Lokesh Reddy Marasu, Ravi Teja Karanam, Rohith Prabhanjan Sri, K. Santhi Vignan's Foundation for Science Technology&Research Dept. Information Technology Guntur India Vignan's Foundation for Science Technology&Research Information Technology Guntur India

ISBN: (纸本)9798350322842

From past two years all human activities are affected by COVID19 but where the knowledge gaining and education for students aren't stopped. Due to covid-19 affect many of the educational institutions are providing online degrees and most of the students are actively taking part in advanced online courses. Conducting online examination and proctoring all the students to stop malpractice by a single proctor is a major challenging task for educational institutions. Day by day as the technology is enlarging, with the advanced AI technology we can proctor all the students with less human effort. In this project we lively monitor the activity of test taker like Head pose estimation, object detection and voice recognition. This AI integrated system will prevent the cheating in examination without physical presence of the human proctor. © 2023 IEEE.

关键词： Students

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Classification of Emoji in Text Documents of Users in Social Networks using Machine Learning 6

Classification of Emoji in Text Documents of Users in Social...

引用

6th international conference on Mobile computing and Sustainable Informatics, ICMCSI 2025

作者： Muhamediyeva, Dildora Niyozmatova, Nilufar Turgunova, Nafisakhon Ungalov, Sanjar Almuradova, Nigora Department of Information Technology Software Tashkent University of Information Technologies named after Mukhammad al-Khwarizmi Tashkent city Uzbekistan Dept. Digital Technologies and Artificial Intelligence Tashkent Institute of Irrigation and Agricultural Mechanization Engineers National Research University Tashkent city Uzbekistan

ISBN: (纸本)9798331522667

This paper presents a study conducted to classify emotions in social media texts using machine learning. With the rapid increase in the amount of data in digital media, efficient and highly accurate methods for analyzing the emotional content of texts are needed. It is shown that modern deep learning algorithms, natural language processing methods, and feature extraction methods work well for emotion analysis tasks. Data preprocessing methods such as lemmatization, normalization, and text cleaning are given special attention since they are crucial to improving the quality of analysis. The paper also discusses the performance metrics such as precision, recall, and F1-score to demonstrate the advantages of the proposed methods. Furthermore, the current challenges in processing unstructured social media data such as user review analysis and social trend detection are discussed. By leveraging multimodal data and modern context-aware models, the work places special emphasis on improving emotion classification. It is important to leverage advanced machine learning methods to improve text analysis in the dynamic context of social media. © 2025 IEEE.

关键词： Adversarial machine learning

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MPTrack: Visual Tracking with Reliable Motion Prompts 24

MPTrack: Visual Tracking with Reliable Motion Prompts

引用

2024 international conference on Artificial Intelligence of Things and computing, AITC 2024

作者： Sun, Songtao Li, Lunbo Aerospace System Engineering of Shanghai Shanghai China School of Computer Science and Engineering Nanjing University of Science and Technology Jiangsu Nanjing China

ISBN: (纸本)9798400709869

Recently, the attention mechanism has been introduced into object tracking, making significant improvements in tracking performance. However, the tracking target often undergoes deformation during tracking, which can easily lead to the loss of the target. In this paper, we design the motion perception unit (MPU) to enhance tracking stability. The MPU generates motion prompts rich in dynamic target appearance information and integrates them into object modeling. This integration allows our tracker to better adapt to changes in target motion and appearance, improving the adaptability to the target motion. Extensive experiments demonstrate that our tracker MPTrack outperforms all state-of-the-art trackers on five widely recognized benchmarks, including GOT-10k, TrackingNet, LaSOText, UAV123, and TNL2K, while running at real-time speed. Copyright © 2024 held by the owner/author(s). Publication rights licensed to ACM.

关键词： Target motion

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