Abstract
There are many real life processes whose smart control requires processing context information. Though the issue of processing varying context information has been addressed in the literature, domain independent solutions that can support reasoning and decision making according to time-varying
process scenarios in multiple application fields are scarce. This paper proposes a method for dynamic context computation concerning spatial and attributive information. Context is interpreted as a body of information dynamically created by a pattern of entities and relationships over a history of situations. Time is conceived as a causative force capable of changing situations, and acting on people and objects. The invariant and variant spatial information is captured by a two-dimensional spatial feature representation matrix. The time-dependent
changes in the context information are computed based on a dynamic context information management hyper-matrix. This humble but powerful representation lends itself to a quasi-real time computing and is able to provide information about foreseeable happenings over multiple situations. The paper uses the practical case of evacuation of a building in fire both as an explorative case for conceptualization of the functionality of the computational mechanism and as a demonstrative and testing application. Our intention is to use the dynamic context computation mechanism as a kernel component of a reasoning
platform for informing cyber physical systems.
process scenarios in multiple application fields are scarce. This paper proposes a method for dynamic context computation concerning spatial and attributive information. Context is interpreted as a body of information dynamically created by a pattern of entities and relationships over a history of situations. Time is conceived as a causative force capable of changing situations, and acting on people and objects. The invariant and variant spatial information is captured by a two-dimensional spatial feature representation matrix. The time-dependent
changes in the context information are computed based on a dynamic context information management hyper-matrix. This humble but powerful representation lends itself to a quasi-real time computing and is able to provide information about foreseeable happenings over multiple situations. The paper uses the practical case of evacuation of a building in fire both as an explorative case for conceptualization of the functionality of the computational mechanism and as a demonstrative and testing application. Our intention is to use the dynamic context computation mechanism as a kernel component of a reasoning
platform for informing cyber physical systems.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
| Publisher | ASME |
| Pages | 1-16 |
| Number of pages | 16 |
| Volume | 1A |
| Edition | 36th Computers and Information in Engineering Conference |
| ISBN (Print) | 978-0-7918-5007-7 |
| DOIs | |
| Publication status | Published - 2016 |
| Event | The ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference: IDETC/CIE 2016 - Charlotte, United States Duration: 21 Aug 2016 → 24 Aug 2016 |
Conference
| Conference | The ASME 2016 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference |
|---|---|
| Country/Territory | United States |
| City | Charlotte |
| Period | 21/08/16 → 24/08/16 |
Keywords
- Context information processing
- dynamic context modeling
- feature representation matrix
- context management hyper-matrix
- evacuation of a building in fire
- reasoning platform