Dissertation > Excellent graduate degree dissertation topics show

Research on Context Modeling and Reasoning for Smart Vehicle Space

Author: YuWeiZuo
Tutor: WuQing
School: Hangzhou University of Electronic Science and Technology
Course: Applied Computer Technology
Keywords: Smart car space Noumenon Context reasoning Dynamic Bayesian Networks Hidden Markov Model
CLC: TP391.1
Type: Master's thesis
Year: 2011
Downloads: 38
Quote: 0
Read: Download Dissertation

Abstract


With the rapid development of ubiquitous computing environment and smart space, context-aware computing as an important sub-field, need to be able to adapt to the highly dynamic heterogeneous computing environment requires all entities in the smart space (for example, equipment, services and agents at the same time) must be able to perceive the context in which they make timely and effective response, and the changes in the context of user-centered. However, the range of the original context-aware intelligent space has a single, low-rise, unstable, imprecise characteristics, how to identify the effective context and how to use the key to become a research context to infer the user's intent and state. And along with the growing proliferation of user context information sharing needs, how effective and quantify the uncertainty associated with the knowledge and information become another hot spot of research today. Focus for these issues in this article to study and practice context modeling introduced ontology in smart vehicle space, makes the system in the true sense of the knowledge reuse and sharing has also become possible. An uncertainty context inference mechanism driven ontology mapping method to deal with heterogeneous information communication sharing within the field of smart car space. Uncertainty reasoning mechanisms selected context reasoning based on mathematical probability of dynamic Bayesian network and hidden Markov model method to calculate as much as possible to ensure system reliability, accuracy and efficiency to meet the user demand for services. The following are the main work of this paper: First, based on the body of the smart car space context modeling, the use of the OWL language to describe, at the same time to meet a unified, standardized body of reasoning context reasoning using ontology mapping to adapt smart car space The context reasoning uncertain information as well as meet the mathematical structure of the reasoning method. Secondly, in order to resolve the uncertainty and incompleteness uncertain context of dynamic Bayesian network and hidden Markov model-based reasoning mechanism, the driver's body combined with a mathematical probability state to build the reasoning method, carried out within the context of the reasoning in smart vehicle space. Finally, from the application point of view, combined ontology mapping and uncertain context reasoning mechanism applied to the recognition of the status of the driver's body in the smart car space, and experimental data analysis application results verify that the system is able to sense the change of context and accurate identification of the state, to remind the driver to ensure safe driving behavior.

Related Dissertations

  1. Packet Loss Recovering Technology for Speech Transmission over Network,TN912.3
  2. Research on Domain Entity Attribute and Event Extraction Technology,TP391.1
  3. Applied Research of Ontology in Intelligent Residence Community,TP391.1
  4. Research on Semantic-based Inspection of Construction Engineering Quality,TP391.1
  5. Multi-threaded fusion soccer video semantic analysis and event detection,TP391.41
  6. Chinese Speech Synthesis System Improvement and Implementation,TN912.33
  7. Research and Implementation of Semantic Search System in Printer Operation Based on Ontology,TP391.1
  8. Research on Characteristic Analysis and Recognition Algorithm of Heart Sound Signal,R318.04
  9. Design and Implementation of Knowledge Management System Based on Ontology,TP311.52
  10. Tudy on Data Transferring Technologies in Network Navigation Services,P208
  11. Research of Multi-Sensory Myoelectric Prosthetic Hand with Hardness and Thermal Conductivity,TP242
  12. The Design and Implementation of a OWL Parser for .NET,TP311.10
  13. Research on DBN-Based Continuous Speech Recognition,TN912.34
  14. Research on the Key Technologies fo Speech Recognition for Robot Communication,TN912.34
  15. The LVCSR system based on adaptive methods of semi-supervised learning,TN912.34
  16. Research of Segmentation Based Chinese Continuous Speech Recognition Technology,TN912.34
  17. The acoustic fusion part of speech information modeling and research,TN912.34
  18. Reconstruct Gene Regulatory Networks Using Bayesian Networks,Q78
  19. Geospatial Data Integration Based on Geo-ontologies,P208
  20. A HMM Study Algotithm,O211.62
  21. Research on Mandarin Connected Digit Speech Recognition System Based on HTK,TN912.34

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Text Processing
© 2012 www.DissertationTopic.Net  Mobile