Embedding expression: Pervasive computing architecture for art and entertainment

2006 ◽  
Vol 2 (1) ◽  
pp. 1-36 ◽  
Author(s):  
Jeff Burke ◽  
Jonathan Friedman ◽  
Eitan Mendelowitz ◽  
Heemin Park ◽  
Mani B. Srivastava
Keyword(s):  
Pervasive Computing ◽  
Computing Architecture

A pervasive computing architecture fostering integration in patient centred communities of care

2009 ◽  
Vol 10 (1/2) ◽  
pp. 49
Author(s):  
Federico Cabitza ◽  
Marco P. Locatelli ◽  
Marcello Sarini ◽  
Carla Simone
Keyword(s):  
Pervasive Computing ◽  
Computing Architecture

Pervasive Computing Architecture, Key Technologies and Issues Facing

2011 ◽  
Vol 135-136 ◽  
pp. 684-687
Author(s):  
Dai You Jiang
Keyword(s):  
User Interface ◽  
Embedded Systems ◽  
Pervasive Computing ◽  
Context Aware ◽  
Computing Architecture ◽  
Key Technology ◽  
Adaptive Technology ◽  
Key Technologies ◽  
Database Technology

This paper introduces the concept of pervasive computing, architecture, outlines the key technology of pervasive computing, including: middleware, context-aware technology, database technology, user interface technology, embedded systems technology and adaptive Technology, points out the major issues facing pervasive computing.

A Distributed-Ledger, Edge-Computing Architecture for Automation and Computer Integration in Semiconductor Manufacturing

2020 ◽  
pp. 13-29
Author(s):  
Da-Yin Liao
Keyword(s):  
Semiconductor Manufacturing ◽  
Manufacturing Systems ◽  
Edge Computing ◽  
Legacy Systems ◽  
Software Framework ◽  
Computer Integration ◽  
Computing Architecture ◽  
Disruptive Technologies ◽  
Distributed Ledger ◽  
Operational Structure

Contemporary 300mm semiconductor manufacturing systems have highly automated and digitalized cyber-physical integration. They suffer from the profound problems of integrating large, centralized legacy systems with small islands of automation. With the recent advances in disruptive technologies, semiconductor manufacturing has faced dramatic pressures to reengineer its automation and computer integrated systems. This paper proposes a Distributed-Ledger, Edge-Computing Architecture (DLECA) for automation and computer integration in semiconductor manufacturing. Based on distributed ledger and edge computing technologies, DLECA establishes a decentralized software framework where manufacturing data are stored in distributed ledgers and processed locally by executing smart contracts at the edge nodes. We adopt an important topic of automation and computer integration for semiconductor research &development (R&D) operations as the study vehicle to illustrate the operational structure and functionality, applications, and feasibility of the proposed DLECA software framework.

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