Using Graphics Processing Units for Accelerated Information Retrieval

Mocanu, Ştefan; Din, Ramona; Saru, Daniela; Popa, Cosmin

doi:10.24846/v23i3y201403

Cited by 8 publications

(2 citation statements)

References 12 publications

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“…A set of characteristics of the Future Enterprise Systems can be related to existing and emerging paradigms, modes and technologies such as [1] Because complex systems cannot be seen as a simple set of subsystems, many different challenges and problems appeared, aspects that affect both society and industry [12]: -The self-organization and self-management of infrastructure and utility systems; -The smart factory, including smart processes and smart products, uses emerging architectures and business models, emphasizing interoperability; -New technologies and integrated models and architectures are emerging (H2M and M2M) into intelligent environments.…”

Section: Cyber-physical Systems and Industrie 40 21 Future Manufacmentioning

confidence: 99%

A cyber-physical systems approach to cognitive enterprise

Moisescu

Sacală

Dumitrache

et al. 2019

PEN

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Internet of Things and Cyber-Physical Systems are paradigms that have an important influence on enterprise systems architecture and implementation. The Cognitive Manufacturing as well as the Cognitive Enterprise are emerging models, related to these paradigms, that intend to redesign in the Enterprise Information Model by integrating new information processing and problem-solving methods. This paper intends to analyses and discuss Cognitive Enterprise enablers and principles considering an approach based on models of human brain perception-reasoning-learning processes.

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Section: Cyber-physical Systems and Industrie 40 21 Future Manufacmentioning

confidence: 99%

A cyber-physical systems approach to cognitive enterprise

Moisescu

Sacală

Dumitrache

et al. 2019

PEN

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“…Some of traditional database processing techniques are being replaced with data mining techniques dedicated to various applications (Mocanu et al, 2014, Arrais de Freitas et al, 2016. Image mining is based on standard data mining methods (Thamilselvan & Sathiaseelan, 2015).…”

Section: Introductionmentioning

confidence: 99%

Geographic Image Mining

Boicea¹,

Rădulescu²,

Truică³

et al. 2016

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ABSTRACT:Image segmentation is a branch of the image processing domain which involves partitioning the image into multiple segments referred to as sets of pixels. The segmentation purpose is to change the representation of an image into a form that is analyzed easier and less processed in order to extract information based on the colors in the image. This paper shows how we can determine statistics on the relief by processing the images that represent geographic maps through Data Mining algorithms. The important aspects of this type of mining are also described in this study. A dedicated application is used for data processing.

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