Context-Aware Workflow Management For Intelligent Navigation Applications In Pervasive Environments

Tang, Feilong; You, Ilsun; Guo, Minyi; Guo, Song

doi:10.1080/10798587.2010.10643104

Intelligent Automation & Soft Computing

2010

DOI: 10.1080/10798587.2010.10643104

|View full text |Cite

Context-Aware Workflow Management For Intelligent Navigation Applications In Pervasive Environments

Feilong Tang¹,

Ilsun You²,

Minyi Guo³

et al.

Abstract: ABSTRACT-Pervasive computing is a user-centric distributed computing paradigm, allowing users to access their preferred services even while moving around. To make this vision a reality, context-aware workflow management is one of key issues because the context of pervasive applications is changing instantly. In this paper, we propose a context model for intelligent navigation applications and then present a context-aware workflow management algorithm (CAWM) which can dynamically adjust workflow execution behav… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2011

2019

Publication Types

Select...

Article4

Relationship

Self Cite0

Independent4

Authors

Journals

Cited by 4 publications

References 13 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

Petri net-based context modeling for context-aware systems

Han

Youn

2011

Artif Intell Rev

View full text Add to dashboard Cite

The context-aware services require to efficiently perceive not only the user requirements but also the context of the environment to provide customized services to the user. To efficiently develop the context-aware applications a systematic methodology correctly specifying the relation among dynamically changing contexts is essential. Here the context model simplifying the manipulation of complex contexts is a key accessor for the specification and analysis of the service. Among various modeling approaches such as timed automata (Tang and You in Intell Automat Soft Comput 16 (4):605-619, 2010), workflow (Rosemann et al. in Understanding context-awareness in business process design, 2010), Petri net (PN) (Jørgensen et al. in Innovat Syst Softw Eng 5(1):13-25, 2009), etc.developed for context-aware system, the PN-based approach has been recognized as one of the most effective one. In this paper we identify the issues of how the contexts are modeled and what kinds of the requirements needs to be considered in the context processing. We then discuss various Petri net (PN)-based modeling methodologies concerning the five important features for context processing: relationships and dependencies, time constraint, resource constraint, usability of modeling formalisms, and context identification. The study reveals that the approach effectively allowing both the time and resource constraints in the model while supporting other important properties needs to be developed further for accurately assess the context-aware systems. Also, the expandability and scalability issue need to be investigated.

show abstract

Petri net-based context modeling for context-aware systems

Han

Youn

2011

Artif Intell Rev

View full text Add to dashboard Cite

show abstract

Bidirectional Adaptations Workflow Management for the Route-choice Application

Yang¹,

Cao²

2011

Energy Procedia

View full text Add to dashboard Cite

Higher Education Check-Ins

Huang

Sang

et al. 2019

Proc. ACM Hum.-Comput. Interact.

View full text Add to dashboard Cite

A large body of literature is dedicated to understanding people's check-in behavior when they use location sharing services to pair their location with a venue, e.g., a restaurant, a park, etc. Check-in behavior in higher education settings, e.g., where students and instructors have academic purposes for check-ins, is under-studied. In this work, we explore how university students apply two different mechanisms, i.e., automatic and manual location-sharing services, to conduct check-ins for an academic purpose (i.e., students sharing their class attendance with their instructor). More specifically, a Bluetooth Low Energy beacon-based technology is applied to enable automatic class check-ins. We conducted two field trials with a total of 141 university students. Our findings showed that several social, technological, and psychological factors impacted the use of auto and manual check-ins. Feedback from the student participants suggested that future higher education check-in systems may need to consider the integration of check-ins for a variety of purposes.

show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

Contact Info

customersupport@researchsolutions.com

10624 S. Eastern Ave., Ste. A-614

Henderson, NV 89052, USA

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Blog Terms and Conditions API Terms Privacy Policy Contact Cookie Preferences Do Not Sell or Share My Personal Information

Made with 💙 for researchers

Part of the Research Solutions Family.

Context-Aware Workflow Management For Intelligent Navigation Applications In Pervasive Environments

Cited by 4 publications

References 13 publications

Petri net-based context modeling for context-aware systems

Petri net-based context modeling for context-aware systems

Bidirectional Adaptations Workflow Management for the Route-choice Application

Higher Education Check-Ins

Contact Info

Product

Resources

About