Cloud computing has transformed global data infrastructure with unparalleled scale, flexibility, and accessibility. This study examines how cloud computing innovations have changed data storage, processing, and manage...
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This study explores the use of dual-polarization (DP) to enhance spectral efficiency without the need for a larger antenna array. We introduce a dual-polarized reconfigurable intelligent surface (RIS) to boost both sp...
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ISBN:
(纸本)9798350379860;9798350379877
This study explores the use of dual-polarization (DP) to enhance spectral efficiency without the need for a larger antenna array. We introduce a dual-polarized reconfigurable intelligent surface (RIS) to boost both spatial and spectral efficiencies in mmWave communication systems. A joint optimization approach for hybrid precoding and the RIS reflection coefficient matrix is introduced, employing channel state information (CSI) in mixed-timescale. The closed-form solutions derived for hybrid precoding and reflection coefficients achieve notable enhancements in average spectral efficiency, as validated by simulation-based findings, highlighting the effectiveness of the proposed method.
With the development of digitalization, information and intelligence, data has become an important part of modern society. The distributed data collection system based on private cloud uses the resource sharing charac...
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In an era where technological skills are essential, integrating coding curriculum within Macao's primary education is becoming increasingly prevalent. However, fostering programming skills among young learners is ...
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Side computing is a rising technique used for connected networks' allotted and cooperative media algorithms. Part computing refers to processing operations being carried out near the source of the facts, generally...
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Currently computility shows an explosive growth trend. Heterogeneous software and hardware architecture, super-computility distribution and performance difference bring significant challenges to super-computing grid i...
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ISBN:
(纸本)9798350379860;9798350379877
Currently computility shows an explosive growth trend. Heterogeneous software and hardware architecture, super-computility distribution and performance difference bring significant challenges to super-computing grid integration. We propose a super-computing grid integration system to access and schedule heterogeneous super-computing, and provide high-quality service. Queue based super-computing virtualization and multi-level scheduling system are adopted respectively to address the problem of heterogeneity of super-computing centers and scheduling system. The system has unique scheduling policies, is theoretically compatible with majority of super-computing scheduling systems like Slurm and also has practicability and extensibility compared with traditional super-computing center. The system supports historical performance evaluation by agent to support applications deployment between architectures and it can optimize scheduling. Example case analysis proves the feasibility of our architecture. And we also find that the computational performance of heterogeneous computing resources needs to be comprehensively analyzed in terms of instruction sets, IO(Input/output), network and specific optimizations.
The proceedings contain 24 papers. The topics discussed include: estimation of emotional scenes from lifelog videos with moving average of facial expression intensity;facial expression intensity estimation using deep ...
ISBN:
(纸本)9781450384933
The proceedings contain 24 papers. The topics discussed include: estimation of emotional scenes from lifelog videos with moving average of facial expression intensity;facial expression intensity estimation using deep convolutional neural network;fuzzy database and interface to analyze management system operations;materialized view driven architecture over lattice of cuboids in data warehouse;identification of corresponding numerical attributes in heterogeneous databases based on instances;reducing the repairing penalty on misspeculation in thread-level speculation;GPU parallelization of all-pairs-shortest-path algorithm in low-degree unweighted regular graph;an adaptive tiering scheme for an autonomous distributed storage system;and redundancy of routing information on the distributed key-value store based on order preserving linear hashing and skip graph with the load balancing method.
Particle Swarm Optimization (PSO) algorithms are a shape of evolutionary computing that performs by simulating the conduct of a swarm of digital particles that pass among a described seek area with the overarching aim...
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Research the mechanism of fake news refuting rumors in the real social network environment. Propose methods to evaluate the effect of rumor refuting and explore the factors that affect the impact of rumor refuting. Ba...
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In parallel computing, the potential parallelism in the computing process is utilized to communicate relevant data between different nodes through data communication, which then facilitates the computing resources of ...
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ISBN:
(纸本)9798400708305
In parallel computing, the potential parallelism in the computing process is utilized to communicate relevant data between different nodes through data communication, which then facilitates the computing resources of each node to accelerate the computing process. Large scale phenomenon equation systems often appear in practical engineering applications. This article analyzes the potential parallelism of Gaussian elimination method in elimination calculation and designs a parallel algorithm for Gaussian elimination method. Finally, practical testing shows that this algorithm has obvious advantages in solving large-scale linear equation systems.
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