DARK: Deep automatic Redis knobs tuning system depending on the persistence method

Seo, Juyeon; Kim, Kyeong-Hun; Seo, Sangmin; Park, Sang‐Hyun

doi:10.1016/j.eswa.2023.119697

Cited by 2 publications

(2 citation statements)

References 18 publications

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“…The integrated data were analyzed by cloud computing technology for fault prediction. When sub-models access the integrated data simultaneously, distributed locks of Redis 75 solve concurrent access issues. To simplify connection complexity and enhance data delivery between sub-models of different disciplines, dimensions, and functions, ZeroMQ 76 and RabbitMQ 77 are recommended.…”

Section: Dt Modeling Tech Tool and Dt System For Phmmentioning

confidence: 99%

Digital twin-driven prognostics and health management for industrial assets

Xiao,

Zhong,

Bao

et al. 2024

Sci Rep

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As a facilitator of smart upgrading, digital twin (DT) is emerging as a driving force in prognostics and health management (PHM). Faults can lead to degradation or malfunction of industrial assets. Accordingly, DT-driven PHM studies are conducted to improve reliability and reduce maintenance costs of industrial assets. However, there is a lack of systematic research to analyze and summarize current DT-driven PHM applications and methodologies for industrial assets. Therefore, this paper first analyzes the application of DT in PHM from the application field, aspect, and hierarchy at application layer. The paper next deepens into the core and mechanism of DT in PHM at theory layer. Then enabling technologies and tools for DT modeling and DT system are investigated and summarized at implementation layer. Finally, observations and future research suggestions are presented.

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Section: Dt Modeling Tech Tool and Dt System For Phmmentioning

confidence: 99%

Digital twin-driven prognostics and health management for industrial assets

Xiao,

Zhong,

Bao

et al. 2024

Sci Rep

View full text Add to dashboard Cite

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“…Cassandra [35], CouchDB [36], Redis [37], Neo4j [38], and Firebase [39]. The comparative summary can be found in Annex A.…”

Section: Selection Of Dbmsmentioning

confidence: 99%

Securing mobility in Bucaramanga

Angarita Reina,

Aparicio Duran,

Arias Quintero

et al. 2023

ing. Solidar

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Introduction: The smart city paradigm is made up of a set of actors who must operate jointly to guarantee road flow. However, sometimes there are accidents, and they affect productive apparatus, cause minor or temporary injuries and sometimes death of the individuals involved. Problem: Events occur for multiple reasons and the authorities have difficulties in implementing controls that minimize their occurrence since they do not have the necessary tools to capture and analyze timely information on the claims that have been presented. Objective: The objective is to increase road safety control and safeguard mobility in Bucaramanga. For this, a mobile application is designed to capture accident data by implementing the Flutter framework and the Model- View design pattern methodology. Controller (MVC). Methodology: The development of software to analyze the large amount of information on road events. A da- tabase is developed where said information is stored and processed using programming languages, coding and data hosting. Design and process factors are also considered according to the user’s needs, which will determine the interface and expected performance. Results: A structured system for data capture with the ability to integrate the general community, streamline the availability of information and facilitate decision making that deals with the problem in real time. Conclusion: It is concluded that its implementation in the city fosters self-care for pedestrians and drivers, facilitating the design of effective control measures by territorial entities, bringing the city of Bucaramanga closer to sustainability. Originality: This methodology for integrating events is unique in the country and is developed based on the city’s own characteristics. Limitations: The lack of information provided by the government actors.

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DARK: Deep automatic Redis knobs tuning system depending on the persistence method

Cited by 2 publications

References 18 publications

Digital twin-driven prognostics and health management for industrial assets

Digital twin-driven prognostics and health management for industrial assets

Securing mobility in Bucaramanga

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