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检索条件"任意字段=4th International Multi-Conference on Computing in the Global Information Technology"

共 11800 条记录，以下是131-140 订阅

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Dual-Branch Subgraph-Pattern attention graph neural network for link prediction 4

Dual-Branch Subgraph-Pattern attention graph neural network ...

引用

4th international conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Ouyang, Zhongxuan Wang, Jinhua Computer Application Technology Computing Platform Department China Electronics Technology Group Corporation No. 32 Research Institute East China Computing Technology Research Institute Shanghai China

ISBN: (纸本)9781510686106

Graph data is a natural form of unstructured data, with nodes and edges representing entities and the relationships between them respectively. this type of data can be directly applied to various real-world scenarios. Graph Neural Networks (GNNs) have a natural advantage in handling graph-structured data, effectively processing the hierarchical structure of graphs to extract rich information. However, current GNNs have limitations in dealing with local information. In this paper, we discover a new attention-based network module that outperforms general GNNs. To better learn global-local information and overall hierarchical information, we propose a Dual-Branch Subgraph Pattern Attention Graph Neural Network (DB-SP-GAT). Experimental results demonstrate that DB-SP-GAT achieves superior link prediction performance across five benchmark datasets. © 2024 SPIE.

关键词： Graph neural networks

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SinHuman3D: Novel multi-View Synthesis and 3D Reconstruction from a Single Human Image 4

SinHuman3D: Novel Multi-View Synthesis and 3D Reconstruction...

引用

4th IEEE international conference on Data Science and Computer Application, ICDSCA 2024

作者： Kui, Xu Xiaoran, Guo Key Laboratory of China’s Ethnic Languages and Information Technology Ministry of Education Northwest Minzu University Lanzhou China College of Mathematics and Computer Science Northwest Minzu University Lanzhou China

ISBN: (纸本)9798350368239

this research introduces SinHuman3D, a framework designed for multi-view synthesis and three-dimensional reconstruction from a single human image, utilizing deep learning techniques in conjunction with Neural Radiance Fields (NeRF) technology. the framework integrates a global feature extraction module, a detailed feature extraction component, and a Transformer-based feature fusion approach, alongside the incorporation of prior knowledge from the SMPL human model. An effective feature extraction and fusion strategy is proposed for high-fidelity 3D human model reconstruction. Experimental validation on the RenderPeople dataset demonstrates SinHuman3D’s superior performance in 3D reconstruction quality, structural fidelity, and perceptual similarity, achieving a PSNR of 21.72, an SSIM of 0.87, and an LPIPS of 0.14, highlighting its effectiveness in human 3D reconstruction. ©2024 IEEE.

关键词： 3D reconstruction

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SmartTD: A Web Platform for Tie-Dye Pattern Generation and Digital Innovation 4

SmartTD: A Web Platform for Tie-Dye Pattern Generation and D...

引用

4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Nie, Roujun Liu, Weiyue Huang, Henan Wei, Yuxin Zeng, Hao Zhao, Youbing Ma, Tongqing Sui, Huiyun Sun, Xuxue University of Zhejiang School of Media Engineering Communication Hangzhou China University of Derby School of Computing Derby United Kingdom

ISBN: (纸本)9798350363586

Today, the utilization of modern technological means to advance traditional tie-dye techniques has emerged as a critical issue that requires immediate attention. To address this, we propose an approach that integrates information technology with traditional craftsmanship through a web platform known as SmartTD. SmartTD efficiently extracts and analyzes existing tie-dye patterns to generate new and creative tie-dye artworks. this tie-dye pattern generation not only significantly expands users' creative options but also infuses new vitality into traditional handicrafts. In addition, SmartTD retraces the historical background of tie-dye and its unique development trajectories in different regions of China, providing abundant technical documentation and details. Users can simulate the actual tie-dye process through virtual experiences offered on SmartTD, thereby gaining a more comprehensive understanding of the cultural value of this ancient craft. the integrated application of these methodologies provides a novel practical solution for the digital preservation of traditional handicrafts while simultaneously opening up broader avenues for cultural education and dissemination. © 2024 IEEE.

关键词： digi-tization GenAI tie-dye traditional craftsmanship

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A Way to Design Fog computing Model for 5G Network using Vanet 4

A Way to Design Fog Computing Model for 5G Network using Van...

引用

4th IEEE international conference on Advance computing and Innovative Technologies in Engineering, ICACITE 2024

作者： Maruthamuthu, R. Patel, Neeraj Yawanikha, T. Jayasree, S. Alsalami, Zaid Subbarao, S.P.V. Madanapalle Institute of Technology & Science Computer Applications Andhrapradesh Madanapalle India Ies Institute of Technology and Management Ies University Computer Science & Engineering Department M.P Bhopal India Prince Shri Venkateshwara Padmavathy Engineering College India Karpagam Institute of Technology Department of Information Technology Coimbatore641105 India The Islamic University of Babylon College of Technical Engineering Department of Computers Techniques Engineering Babylon Iraq Sreenidhi Institute of Science and Technology Department of Electronics and Communication Engineering Hyderabad India

ISBN: (纸本)9798350360165

Intelligent cities rely heavily on smart automobiles, providing portable computing as well as communication capabilities via a wireless link. By Mobile spontaneous groups, computer fog acts as a middleman between automobiles and the web, giving them access to storing, retrieving and abilities to network. With VANET, which stands processing the request to the vehicle takes fewer minutes since it is a latency-sensitive tech. the most well-known problems with fogged and VANETs are congestion and delays. In this study, we created a priority-based fogged approach to intelligent metro automobile journeys, which lowers fog compute time and postpone, to address such issues. 5G localised multi-Access edge information workstations was also used to enhance the computer fog infrastructures in meeting timely and the caliber of Level standards, which has greatly reduced the latency and wait. In lieu of the study conducted utilizing simply a web-based design, we achieved a 20% reduction in data time. Additionally, we achieved a 35% reduction in CPU usage as compared to the use of a public cloud platform. © 2024 IEEE.

关键词： 5G mobile communication systems

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Fully Optical Integrated Mixture-of-Experts System 24

Fully Optical Integrated Mixture-of-Experts System

引用

4th international conference on Signal Processing and Communication technology, SPCT 2024

作者： Li, Chen Shandong Massive Information Technology Research Institute Shandong Jinan China

ISBN: (纸本)9798400710636

A fully optically integrated Mixture-of-Experts (MoE) system is introduced to address the explosive growth in computational power demands in the development of artificial intelligence technologies. Here, we highlights the potential of optical computing in solving communication challenges for MoE models and proposes a fully optically integrated MoE system. this system integrates on-chip subwavelength diffraction units (SWU) as expert models and uses Mach-Zehnder interferometers (MZI) as gating and tuning modules to achieve system integration. the system not only solves the technical issue of on-chip training difficulty in existing optical diffraction computing models but also overcomes the performance limitations of optical interference computing models. By combining the advantages of both, it enhances the performance of optical computing models and the scalability of optical systems. Finally, the article validates the feasibility of the system in visual tasks through simulation experiments and demonstrates the simulation results of signal input and output using MZI, proving the feasibility of the scheme. © 2024 Copyright held by the owner/author(s).

关键词： Mach-Zehnder interferometers

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Enhancing Patient Safety with Machine Learning: Automating the Interpretation of Handwritten Medical Prescriptions 4

Enhancing Patient Safety with Machine Learning: Automating t...

引用

4th international conference on Ubiquitous computing and Intelligent information Systems, ICUIS 2024

作者： Musthafa, A.Syed Bhuvaneshwari, S. Dharshini, S.S. Gobika, U. Harini, R. M.Kumarasamy College of Engineering Department of Information Technology Tamil Nadu Karur639113 India

ISBN: (纸本)9798331529635

this research investigates the development of a deep learning-based system for accurate and efficient recognition of handwritten medical prescriptions. the system utilizes advanced OCR techniques to accurately transcribe handwritten text, minimizing the risk of errors commonly associated with manual interpretation. By leveraging a comprehensive database of medications and their characteristics, the system can cross-reference the transcribed information to identify potential medications and suggest suitable alternatives based on the patient's reported symptoms. this system aims to improve the accuracy and efficiency of prescription interpretation, reduce medication errors, and enhance patient safety. © 2024 IEEE.

关键词： Contrastive Learning

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Mean Field Analysis of Serverless Edge computing for Smart Vehicle Applications 4

Mean Field Analysis of Serverless Edge Computing for Smart V...

引用

4th international conference on Electronic information Engineering and Computer Communication, EIECC 2024

作者： Yao, Yuan He, Rong Wuhan Institute of Technology School of Computer Science and Engineering Wuhan China

ISBN: (纸本)9798331534622

Smart cities and vehicles generate numerous time sensitive tasks, making edge computing a key solution for reducing latency. However, using serverless models at the edge faces challenges like dynamic city traffic and resource constraints. this study analyzes serverless edge computing for smart vehicles through modeling and experiments. we develop a mean field model captures steady-state system behavior under stochastic job arrivals, enabling efficient analysis of metrics like mean sojourn time and service degradation probability. through experiments and simulations, we demonstrate the feasibility of serverless edge servers for low-latency offloading, providing insights for optimizing these systems in urban environments. © 2024 IEEE.

关键词： Edge computing Mean field Model Performance Analysis Serverless

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Novel multi-scale lightweight network cable defect diagnosis based on adaptive pruning 4

Novel multi-scale lightweight network cable defect diagnosis...

引用

4th international conference on Intelligent Power and Systems, ICIPS 2024

作者： Sun, Weihao Chen, Qiulin Zhao, Sicheng Yang, Weihong La, Yuan Xu, Yongpeng Shanghai Jiao Tong University School of Electronic Information and Electrical Engineering Shanghai China China Southern Power Grid Electric Power Research Institute Guangzhou China China Southern Power Grid Power Transmission and Distribution Guangzhou China

ISBN: (纸本)9798331532765

Intelligent fault diagnosis of high-voltage cable defects based on edge computing is a safe and reliable technology for high-voltage cable operation, which can provide better real-time performance and lower communication cost for fault diagnosis systems. However, existing lightweight diagnostic networks lack lightweight learning mechanisms for edge computing scenarios. To this end, this paper proposes a new multi-scale lightweight network based on adaptive pruning. First, a precision current sensor (TMR) based on tunnel magnetoresistance effect technology is used to capture the weak pulse current signal generated by partial discharge in high-voltage cables, and a weight-shared multi-scale convolution (WSMSC) is proposed, which can effectively extract the scales in partial discharge. Features and almost no increase in computing cost. this mechanism not only improves the completeness of feature extraction, but also improves fault diagnosis accuracy, which is especially suitable for resource-constrained edge computing environments. then an inverse separable convolution (ISC) block is constructed to adjust the convolution order to further capture high-level features, achieve one-to-one matching of convolution kernels, and simplify the pruning process. the adaptive pruning technology proposed finally integrates the evaluation and pruning process into the training, avoiding the repeated evaluation, pruning and fine-tuning cycles in the traditional method, and can simultaneously train and optimize the network structure without manual intervention, which is beneficial to Deployment on an expanded spectrum of peripheral units. Empirical outcomes demonstrate that the precision and intricacy of the devised framework surpass those of other cutting-edge cable anomaly detection systems. Furthermore, the proposed network can be deployed on more general edge devices. © 2024 IEEE.

关键词： Tunnelling magnetoresistance

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Research on Power Communcaiton Optical Transmission Network Architecture 4

Research on Power Communcaiton Optical Transmission Network ...

引用

4th IEEE international conference on information technology, Big Data and Artificial Intelligence, ICIBA 2024

作者： Chen, Zhuo Zhao, Yuanyuan Zhang, Han Dong, Ziqi Zheng, Qiwei Qu, Xueyang Yi, Peng Pu, Yuduo State Grid Information & Telecommunication Branch Beijing China Wuhan Fiberhome Technical Services Co. Ltd Wuhan China

ISBN: (纸本)9798350363586

With the steady development and intelligent transformation of Electric Power Industry, a more stable and rapidly self-healing transmission communication network has become an indispensable foundation for daily operation and management. the transmission network architecture of the power industry, as the core of this system, carries the important task of serving as an information exchange channel for the entire process of power transmission, distribution, and related daily work. this article will start from four aspects: transmission network hardware, network construction, service protection methods, and access services. From macro planning to micro service connection methods, it will introduce the measures taken by the power industry to improve the stability and self-healing ability of transmission networks from two aspects. © 2024 IEEE.

关键词： self-healing ability stability transmission network

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global Navigation Satellite System Terminal Spoofing and Defense Techniques 4

Global Navigation Satellite System Terminal Spoofing and Def...

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4th international conference on Neural Networks, information and Communication Engineering, NNICE 2024

作者： Zhu, Chongyuan Zhang, Jing Zhang, Yonghu Yang, Xingchao Huang, Hongyu Beijing China Hunan Satellite Navigation Information Technology Co. Ltd Hunan Changsha China

ISBN: (纸本)9798350394375

With the development of satellite navigation technology, GNSS security issues represented by spoofing have received widespread attention. How to improve GNSS terminal spoofing defense capabilities has become a research hotspot in the field of navigation. Summarized the research progress of GNSS spoofing and spoofing defense in the past decade, and sorted out the principles and technical means of spoofing from two aspects: generated spoofing and repeat spoofing. the GNSS terminal spoofing defense technology is classified and summarized into three categories: cryptographic defense, signal processing defense, and antenna (array) defense, and its cutting-edge methods are summarized and compared. On this basis, the development trend of GNSS terminal Spoofing and defense was summarized and prospected, providing direction reference for in-depth research on related technologies. © 2024 IEEE.

关键词： global positioning system

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