5,755 research outputs found
Agent and cyber-physical system based self-organizing and self-adaptive intelligent shopfloor
The increasing demand of customized production results in huge challenges to the traditional manufacturing systems. In order to allocate resources timely according to the production requirements and to reduce disturbances, a framework for the future intelligent shopfloor is proposed in this paper. The framework consists of three primary models, namely the model of smart machine agent, the self-organizing model, and the self-adaptive model. A cyber-physical system for manufacturing shopfloor based on the multiagent technology is developed to realize the above-mentioned function models. Gray relational analysis and the hierarchy conflict resolution methods were applied to achieve the self-organizing and self-adaptive capabilities, thereby improving the reconfigurability and responsiveness of the shopfloor. A prototype system is developed, which has the adequate flexibility and robustness to configure resources and to deal with disturbances effectively. This research provides a feasible method for designing an autonomous factory with exception-handling capabilities
Federated Embedded Systems – a review of the literature in related fields
This report is concerned with the vision of smart interconnected objects, a vision that has attracted much attention lately. In this paper, embedded, interconnected, open, and heterogeneous control systems are in focus, formally referred to as Federated Embedded Systems. To place FES into a context, a review of some related research directions is presented. This review includes such concepts as systems of systems, cyber-physical systems, ubiquitous
computing, internet of things, and multi-agent systems. Interestingly, the reviewed fields seem to overlap with each other in an increasing number of ways
Internet of robotic things : converging sensing/actuating, hypoconnectivity, artificial intelligence and IoT Platforms
The Internet of Things (IoT) concept is evolving rapidly and influencing newdevelopments in various application domains, such as the Internet of MobileThings (IoMT), Autonomous Internet of Things (A-IoT), Autonomous Systemof Things (ASoT), Internet of Autonomous Things (IoAT), Internetof Things Clouds (IoT-C) and the Internet of Robotic Things (IoRT) etc.that are progressing/advancing by using IoT technology. The IoT influencerepresents new development and deployment challenges in different areassuch as seamless platform integration, context based cognitive network integration,new mobile sensor/actuator network paradigms, things identification(addressing, naming in IoT) and dynamic things discoverability and manyothers. The IoRT represents new convergence challenges and their need to be addressed, in one side the programmability and the communication ofmultiple heterogeneous mobile/autonomous/robotic things for cooperating,their coordination, configuration, exchange of information, security, safetyand protection. Developments in IoT heterogeneous parallel processing/communication and dynamic systems based on parallelism and concurrencyrequire new ideas for integrating the intelligent “devices”, collaborativerobots (COBOTS), into IoT applications. Dynamic maintainability, selfhealing,self-repair of resources, changing resource state, (re-) configurationand context based IoT systems for service implementation and integrationwith IoT network service composition are of paramount importance whennew “cognitive devices” are becoming active participants in IoT applications.This chapter aims to be an overview of the IoRT concept, technologies,architectures and applications and to provide a comprehensive coverage offuture challenges, developments and applications
A context-aware framework for CSCW applications in enterprise environments
Future pervasive environments will take into consideration physical and digital social relationships. Nowadays it is
important to use collective intelligence, where the interpretation of context information can be harnessed as input for
context-aware applications, especially for group collaboration. For collaborative applications this represents
opportunities, but also new challenges in terms of using collective information for adaptability and personalization in
pervasive environments. This paper presents the challenges in design and development of a context-aware framework
CSCW supporting pro-behaviour capabilities in pervasive communities
A Cloud Computing Capability Model for Large-Scale Semantic Annotation
Semantic technologies are designed to facilitate context-awareness for web
content, enabling machines to understand and process them. However, this has
been faced with several challenges, such as disparate nature of existing
solutions and lack of scalability in proportion to web scale. With a holistic
perspective to web content semantic annotation, this paper focuses on
leveraging cloud computing for these challenges. To achieve this, a set of
requirements towards holistic semantic annotation on the web is defined and
mapped with cloud computing mechanisms to facilitate them. Technical
specification for the requirements is critically reviewed and examined against
each of the cloud computing mechanisms, in relation to their technical
functionalities. Hence, a mapping is established if the cloud computing
mechanism's functionalities proffer a solution for implementation of a
requirement's technical specification. The result is a cloud computing
capability model for holistic semantic annotation which presents an approach
towards delivering large scale semantic annotation on the web via a cloud
platform
Internet of Things Strategic Research Roadmap
Internet of Things (IoT) is an integrated part of Future Internet including existing and evolving Internet and network developments and could be conceptually defined as a dynamic global network infrastructure with self configuring capabilities based on standard and interoperable communication protocols where physical and virtual “things” have identities, physical attributes, and virtual personalities, use intelligent interfaces, and are seamlessly integrated into the information network
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