Multicast routing in internetworks and extended LANs
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
A reliable multicast framework for light-weight sessions and application level framing
IEEE/ACM Transactions on Networking (TON)
Coordinating Multiagent Applications on the WWW: A Reference Architecture
IEEE Transactions on Software Engineering
Seven good reasons for mobile agents
Communications of the ACM
Mobile agents and the future of the internet
ACM SIGOPS Operating Systems Review
A case for end system multicast (keynote address)
Proceedings of the 2000 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Project Aura: Toward Distraction-Free Pervasive Computing
IEEE Pervasive Computing
Design Issues in Mobile-Agent Programming Systems
IEEE Concurrency
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Smart Remote Classroom: Creating a Revolutionary Real-Time Interactive Distance Learning System
ICWL '02 Proceedings of the First International Conference on Advances in Web-Based Learning
A Model for Software Configuration in Ubiquitous Computing Environments
Pervasive '02 Proceedings of the First International Conference on Pervasive Computing
Smart Classroom - An Intelligent Environment for Tele-education
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Seamless Service Platform for Following a User's Movement in a Dynamic Network Environment
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
The Smart Classroom: Merging Technologies for Seamless Tele-education
IEEE Pervasive Computing
Distance Learning Technologies and an Interactive Multimedia Educational System
ICALT '01 Proceedings of the IEEE International Conference on Advanced Learning Technologies
TRAM: A Tree-based Reliable Multicast Protocol
TRAM: A Tree-based Reliable Multicast Protocol
Mathematical Techniques in Multisensor Data Fusion (Artech House Information Warfare Library)
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Overcast: reliable multicasting with on overlay network
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Adaptive Learning with the LS-Plan System: A Field Evaluation
IEEE Transactions on Learning Technologies
IEEE Transactions on Learning Technologies
Extracting reduced logic programs from artificial neural networks
Applied Intelligence
RMTP: a reliable multicast transport protocol
INFOCOM'96 Proceedings of the Fifteenth annual joint conference of the IEEE computer and communications societies conference on The conference on computer communications - Volume 3
A real-time interactive virtual classroom multimedia distancelearning system
IEEE Transactions on Multimedia
Scribe: a large-scale and decentralized application-level multicast infrastructure
IEEE Journal on Selected Areas in Communications
Computers and Electrical Engineering
Computers & Mathematics with Applications
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Computers and Electrical Engineering
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Seamless migration is one of pervasive computing applications. The function of seamless mobility is suitable for mobile services such as mobile Web-based learning. In this paper, we propose an approach that supports an attentive mobile learning paradigm. This mobile learning dynamically follows the user from place to place and machine to machine without user's awareness or intervention by active service. This capability can be obtained by component-based smart system and agent-based migrating mechanism. To demonstrate the approach, the theoretical background of fuzzy-neural network for attentive service will be explained. The proposed fusion decision method is based on fuzzy-neural network which can make the input signal data to fuse better. Using online tuning, the fusion processing can be accelerated and the fusion belief degree can be improved. Description of mobile learning task and migrating granularity of the task is suggested. The design of the seamless migration mechanism is introduced. This includes solving several important sub-problems, such as transferring delay, transferring failure, and residual computation dependency. Our implemented system for attentive mobile learning based on seamless migration is presented. The validity comparison and evaluation of this kind of mobile learning paradigm is shown by experimental demos. This suggested attentive mobile learning paradigm based on seamless migration is useful and convenient to mobile learners.