The intelligence service in Costa Rica: Between the new and the old paradigm

Méndez-Coto, Marco Vinicio; Vélez, Fredy Rivera

doi:10.1080/23800992.2018.1436387

Cited by 4 publications

(2 citation statements)

References 11 publications

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“…In order to make up for the deficiencies of centralized cloud computing, the concept of edge computing comes into being. It refers to a distributed open platform that integrates network, computing, storage, and application core capabilities on the edge of the network close to the object or data source intelligent services [25]- [27].…”

Section: A Edge Computing Concepts and Benefitsmentioning

confidence: 99%

Research and Analysis for Real-Time Streaming Big Data Based on Controllable Clustering and Edge Computing Algorithm

Zhang

2019

IEEE Access

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Aiming at the low efficiency, poor performance and weak stability of traditional clustering algorithms and the poor response to the processing of massive data in real time, a real-time streaming controllable clustering edge computing algorithm (SCCEC) is proposed. First, the data tuples that arrive in real time are pre-processed by coarse clustering, the number of clusters, and the position of the center point are determined, and a set formed by macro clusters having differences is formed. Secondly, the macro cluster set obtained by the coarse clustering is sampled, and then K-means parallel clustering is performed with the largest and smallest distances, thereby realizing fine clustering of data. Finally, the completely clustering algorithm and the edge-computing algorithm are combined to realize the clustering analysis under the edgecomputing framework. The experimental results show that the proposed algorithm has the advantages of high efficiency, good quality, and strong stability. It can quickly obtain the global optimal solution, and deal with massive data with high real-time performance. It can be used for real-time streaming data aggregation under big data background. INDEX TERMSReal-time streaming data, clustering, edge computing, algorithm.

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Section: A Edge Computing Concepts and Benefitsmentioning

confidence: 99%

Research and Analysis for Real-Time Streaming Big Data Based on Controllable Clustering and Edge Computing Algorithm

Zhang

2019

IEEE Access

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“…Published by Francis Academic Press, UK -45-library to intelligent library. Based on information technology, the intelligent library gradually grows and gradually enters the user's vision [1]. In addition, the organization and construction of intelligent library has become a hot spot in library theory and practice and an inevitable trend in future research.…”

Section: Introductionmentioning

confidence: 99%

Construction of Intelligent Library Service System from the Perspective of Artificial Intelligence

2021

IJFS

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The extension of intelligent library knowledge service is the further development and upgrading of digital library knowledge service. It supports the comprehensive ability of library in teaching, scientific research, social management, cultural construction and social development. The extension of intelligent library knowledge service should change from resource-driven to service-oriented. The study found that 52 percent thought libraries should provide innovative services,45 percent thought it would help readers understand high technology,23 percent thought libraries helped them find jobs, and 14 percent thought libraries improved their job skills.

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