Reasoning and Inference in Network Management
▶ Introduction
 

Learning-based ‘Autonomic Network Management’ requires ‘self-managed’ capacity to reason and infer the uncertainty involved in a Network-Management life-cycle. Thereby, Reasoning and Inference play a vital role in our Machine Learning/Control Theoretic approach on ‘Autonomous Network Management’.



▶ Research Issues

 
  1. Reasoning uncertainty in E-health services.
  2. Infer Emotion from usage pattern of Smartphone Traffic


▶ References

  E-Health Service
  1. J.Wang, M.Ghosh, and K.Challapali, “Emerging cognitive radio applications: A survey,” Communications Magazine, IEEE, vol. 49, no. 3, pp. 74 ?81, march 2011. Emotion Recognition from Smartphone
Emotion Recognition from Smartphone
  1. H.Lee, Y.S.Choi, and Y.J.Kim, “An Adaptive User Interface Based on Spatiotemporal Structure Learning”, IEEE Communication Magazine, Volume: 49, Issue: 6 Page(s): 118 ? 124, July 2012.


▶ Achievements

 
  1. Rossi Kamal, Mi Jung Choi, Choong Seon Hong, “Autonomic Learning Through Stochastic Games for Rational Allocation of Scarce Medical Resources”, The IFIP/IEEE International Symposium on Integrated Network Management (IFIP/IEEE IM 2013), Ghent, Belgium, April 27, 2013 o April 27, 2013
  2. Joowha Lee, Rossi Kamal, Choong Seon Hong, Sungwon Lee, “Recognizing Emotion from Service-usage Pattern of Smart-Device’s Data Traffic”, KIISE Winter Conference, Daejeon, Korea, 2012.