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检索条件"任意字段=International Conference on Computing and Convergence Technology"

共 8503 条记录，以下是11-20 订阅

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Advancing Textual Semantic Understanding with Quantum LSTM Networks 15

Advancing Textual Semantic Understanding with Quantum LSTM N...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Umar Gondel, Muhammad Mustafa Byun, Kyung Min Shin, Hyundong Kyung Hee University Department of Electronics and Information Convergence Engineering Korea Republic of

ISBN: (纸本)9798350364637

Long Short-Term Memory (LSTM) networks are adept at managing long-term dependencies in sequential data, making them particularly effective for understanding semantics in context. However, challenges such as language complexity and data limitations persist in natural language processing (NLP). Quantum computing utilizes quantum mechanics to tackle complex language structures with limited data. By integrating quantum computing with LSTM, we can address the issues of linguistic complexity and data scarcity. In this paper, we present a Quantum Long Short-Term Memory (QLSTM) network that comprehends the semantics of textual data. Our simulations demonstrate superior capability of QLSTM in capturing textual semantics. © 2024 IEEE.

关键词： Quantum computers

来源：评论

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User-Aware Resource Allocation Algorithm for Virtual Reality in Metaverse 15

User-Aware Resource Allocation Algorithm for Virtual Reality...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Lee, Jaechan Kim, Yumi Ko, Haneul Kyung Hee University Department of Electronics and Information Convergence Engineering Yongin Korea Republic of

ISBN: (纸本)9798350364637

Even though introducing the edge computing to support metaverse services, sophisticated resource allocation algorithm is needed due to varied required computation resources and operating environments. In this paper, we introduce a user-aware resource allocation algorithm (UARA) for the metaverse and examine a resource allocation strategy for edge cloud computing. The objective of the resource allocation strategy is to maximize the aggregated quality of experiences (QoEs) for users while ensuring that each user's QoE remains above a certain threshold. Evaluation results show that the proposed resource allocation policy enhances users' QoE. © 2024 IEEE.

关键词： Virtual environments

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Asynchronous Federated Split Learning 8

Asynchronous Federated Split Learning

引用

8th IEEE international conference on Fog and Edge computing (ICFEC)

作者： Albuquerque, R. A. Dias, L. P. Ziazet, Junior Momo Vandikas, K. Ickin, S. Jaumard, B. Natalino, C. Wosinska, L. Monti, P. Wong, E. Concordia Univ Comp Sci & Software Engn Montreal PQ Canada Ericsson ER AI Kista Sweden Ericsson GAIA Montreal PQ Canada Chalmers Univ Technol Opt Networks Gothenburg Sweden Univ Melbourne Elect & Elect Engn Melbourne Vic Australia

ISBN: (纸本)9798350361360;9798350361353

We propose a first Asynchronous Federated Split Learning (AFSL), to add the flexibility of asynchronous computing to the combination of federated and split learning. This amounts to designing a harmonious combination of different paradigms in order to benefit from the advantages of each of them and to reduce the impacts of their shortcomings. This way, AFSL answers to the increasingly rising interest for distributed algorithms with the advent of edge computing in order to support new market segments, such as cloud gaming, immersive eXtended Reality (XR), indoor positioning, and mission critical IoT networks, with stringent requirements on latency and reliability. Computational experiments are conducted on IID and nonIID datasets to investigate the added value of the asynchronous feature. Results indicate that AFSL can accelerate model learning by up to 86% without sacrificing the model's convergence and accuracy. Indeed, not only average training times are reduced, but clients use fewer resources, a critical characteristic for devices with limited computing capabilities, e.g., in edge devices. Performance degradation can be mitigated by a careful selection of the aggregation principle. Other advantages are with AFSL training in dynamic scenarios as it provides robustness with a short recovery time by leveraging asynchronous client training. Index Terms-Distributed machine learning, Federated learn-

关键词： Distributed machine learning Federated learning Split learning Asynchronous Edge computing

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Study on the Application of Laser in Environmental Design 11th

Study on the Application of Laser in Environmental Design

引用

11th international conference on Culture and computing (C&C) part of the 25th international conference on Human-Computer Interaction (HCI)

作者： Xue Ziruo Commun Univ China Beijing Peoples R China

ISBN: (纸本)9783031347313;9783031347320

This article investigated the creative concept of the laser art, centering on the relationship between the artistic application of the laser technology, human beings and environment from the perspective of posthunmanism. Having studied three applications of laser technology in environmental design encompassing remote environmental art, audiovisual installations, and holographic photography with its installations, this article summarized characteristics of the laser art including interactive expression, multimedia convergence and combination of art and science, laying a theoretical explanation premise and creative ideas for the application of laser technology in environmental design, and also provides new ideas and new methods for creative practice of environmental design centered on optical media.

关键词： Laser technology Interactivity Multimedia convergence Art and science Environmental design

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Cloud resource scheduling strategy based on improved particle swarm optimization algorithm for smart city system 2

Cloud resource scheduling strategy based on improved particl...

引用

2nd international conference on Computer Vision and Intelligent technology

作者： Farisi, Zeyad Taibah Univ Appl Coll Medina Saudi Arabia

ISBN: (纸本)9798331540050;9798331540043

Smart city facilitates people's lives from all aspects, but the complex equipment data analysis and processing, huge data calculation limit the development of smart city system, so reasonable scheduling of cloud computing resources make the smart city system hard to operate smoothly and orderly. To cope with problems above concerned, an novel method combined particle swarm algorithm with improved strategy is applied: First, the weight parameter of the social and cognitive coefficients in the particle swarm algorithm were adjusted to better conform to the optimal solution and avoid getting stuck in local optima;Second, an inertia weight function and an adjustment operator was defined during the search process to optimize position updates, thereby the convergence efficiency was improved and the global optimal solution was conformed;third, the load balance in cloud environments is considered by limiting the load rate of physical machines to place physical resources, then the service quality and user needs are assured. We can see in experiments that the proposed method can effectively integrate into the system, by searching the global optimal solution efficiently and improving the convergence efficiency of traditional particle swarm, the resource utilization and system performance was improved.

关键词： Smart City Cloud computing Particle Swarm Algorithm Adaptive weight parameters

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Analyzing Recent Research Trends in Post-Quantum Cryptography Using Latent Dirichlet Allocation 15

Analyzing Recent Research Trends in Post-Quantum Cryptograph...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Song, Boyeon Kim, Taejong Korea Institute of Science and Technology Information Division of Science and Technology Digital Convergence Daejeon Korea Republic of National Institute of Meteorological Sciences Ai Meteorological Research Division Jeju Korea Republic of

ISBN: (纸本)9798350364637

Post-Quantum Cryptography (PQC) is a critical technique for safeguarding digital information in the quantum computing era. To understand recent research trends in PQC, we analyzed articles from Web of Science using Latent Dirichlet Allocation (LDA). We conducted two LDA analyses: one on PQC articles from 2020 to the first half of 2024, and another on articles from 2023 to the first half of 2024. The first analysis yielded five topic groups, while the second resulted in six. These findings provide insights into the evolving research landscape and potential shifts in PQC focus. © 2024 IEEE.

关键词： Quantum computers

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Dynamic Scheduling of Service and computing for Minimalist Network based on Cloud-native Service-based RAN

Dynamic Scheduling of Service and Computing for Minimalist N...

引用

IEEE/CIC international conference on Communications in China (ICCC)

作者： Yuan, Chunjing Cao, Jianing Fang, Zecheng Tian, Lin Chinese Acad Sci Inst Comp Technol Beijing Peoples R China Univ Chinese Acad Sci Beijing Peoples R China Nanjing Inst InforSuperBahn Nanjing Peoples R China

ISBN: (纸本)9798350378412

The network of the future must be able to adapt to evolving requirements in intricate and diverse vertical application scenarios. To enhance network flexibility, cloud-native technologies has been introduced into the Radio Access Network (RAN). Additionally, the functionality of the RAN has been further decoupled into multiple services. However, current research has not investigated how the RAN adapts to meet scenario-specific requirements dynamically. Therefore, this paper proposes a service scheduling mechanism for RAN with decoupled functions that enables dynamic scheduling, deployment, and scaling at the service level. To address dynamic requirements considering user task delay and computing resource consumption, a scenario-based minimalist network customization scheme is introduced. The multi-level queuing theory is utilised to model task delay, establishing a chain multi-service queuing *** the task delay, the minimalist network schedules network services to minimize computing resource consumption. In comparison to monolithic RAN architectures, our proposed scheme achieves a significant reduction in computing resource consumption.

关键词： service-based RAN time delay minimalist network network scaling convergence of computing and communication

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Preliminary Design of Hybrid Simulation Framework for Workload Analysis in Automotive Edge computing 15

Preliminary Design of Hybrid Simulation Framework for Worklo...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Kwon, JiHyun Park, SangEun Chwa, Hoon Sung Kwak, Jeongho Choi, Ji-Woong Kim, BaekGyu Dgist Dept. of Electrical Engineering and Computer Science Daegu Korea Republic of

ISBN: (纸本)9798350364637

Many vehicular tasks shall be completed in a timely manner as they move. In automotive edge computing, a vehicle can offload such tasks to an edge server in proximity to process them faster than using the cloud computing model. However, such an edge server has limited communication coverage and relatively smaller computing power compared to the general cloud server, it is important to distribute the offloaded workloads appropriately. One needs to understand such workload patterns and quantitatively analyze them for such workload distribution. We propose a preliminary hybrid simulation framework that generates compute workloads via a combination of the virtual vehicular traffic and the physical edge-server platforms. © 2024 IEEE.

关键词： Computation offloading

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Accelerating Sensor Software Performance on Edge Devices Through Just-in-Time Compilation 15

Accelerating Sensor Software Performance on Edge Devices Thr...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Choi, Jongwoo Park, Wan-Ki Han, Jinsoo An, Sangbyeong Park, Sihyun Yu, Chool Energy Ict Research Section Electronics and Telecommunications Research Institute Daejeon Korea Republic of Water Energy Research Center K-water Research Institute Daejeon Korea Republic of

ISBN: (纸本)9798350364637

This study introduces a software-defined sensor (SDS), a software system that processes data from pre-installed hardware sensors to extract new, valuable information. An SDS typically involves either a decentralized edge computing device or a centralized computing server. The use of an edge computing device can often be problematic due to its low-performance microcontroller, which may prolong the SDS's response time. This study presents a method to enhance the response time of an SDS by applying just-in-time (JIT) compilation to its sensor software. The sensor software, developed in Python, is compiled using a JIT compiler instead of being interpreted. Experimental results demonstrate that JIT compilation nearly doubles the computation speed of the sensor software. © 2024 IEEE.

关键词： Mobile edge computing

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Joint Wireless and computing Resource Management with Optimal Slice Selection in in-network-edge Metaverse System 15

Joint Wireless and Computing Resource Management with Optima...

引用

15th international conference on Information and Communication technology convergence, ICTC 2024

作者： Rashid, Sulaiman Muhammad Aliyu, Ibrahim Isah, Abubakar Lee, Jihoon Oh, Sangwon Hahn, Minsoo Kim, Jinsul Chonnam National University Department of Intelligent Electronics and Computer Engineering Gwangju Korea Republic of Astana It University Department of Computational and Data Science Astana Kazakhstan

ISBN: (纸本)9798350364637

This paper presents an approach to joint wireless and computing resource management in slice-enabled metaverse networks, addressing the challenges of inter-slice and intra-slice resource allocation in the presence of in-network computing. We formulate the problem as a mixed-integer nonlinear programming (MINLP) problem and derive an optimal solution using standard optimization techniques. Through extensive simulations, we demonstrate that our proposed method significantly improves system performance by effectively balancing the allocation of radio and computing resources across multiple slices. Our approach outperforms existing benchmarks, particularly in scenarios with high user demand and varying computational tasks. © 2024 IEEE.

关键词： Mixed-integer linear programming

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