[English/Japanese]
List of recent works
- Agent-based Simulation, Mathematical Science in Traffic
- "Travel time prediction using Gaussian Process Regression: Trajectory-based approach"
Tsuyoshi Ide and Sei Kato
In Proc. of the SIAM International Conference on Data Mining (SDM 2009), Nevada, 2009 - "Agent-based Simulation of CO2 Emissions Trading and Large-scale Traffic Flow"
Hideyuki Mizuta, Sei Kato, and Hideki Tai
In Proc. of the SICE Annual Conference (SICE 2008), pp. 416-421, Tokyo Japan, 2008 - "IBM Research and Kyoto University Create First of a Kind System to Simulate Urban Transportation"
IBM Press Release, 10 Jun 2008, (link)
- "Simulating whole city traffic with millions of multiple vehicle agents"
S. Kato, G. Yamamoto, H. Mizuta, H. Tai
IBM Research Report, RT0759, (link)
- "Travel time prediction using Gaussian Process Regression: Trajectory-based approach"
- Nonlinear physics
- "Unstable periodic solutions embedded in a shell model turbulence"
Sei Kato and Michio Yamada
Phys. Rev. E 68, 025302(R) 2003, (link)
- "Unstable periodic solutions embedded in a shell model turbulence"
- Economical Physics, Finance
- System Management
- "Automated Performance Problem Determination by Observing Service Demand"
Sei Kato, Toshiyuki Yamane and Takahide Nogayama
(submitted) - "Evaluating Availability under Quasi-Heavy-tailed Repair Times"
Sei Kato and Takayuki Osogami
In Proc. of the 38th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN2008), pp. 442-451, Anchorage AK, 2008 (link) - "Optimizing system configurations quickly by quessing at the performance"
Takayuki Osogami and Sei Kato
In Proc. of the ACM International Conference on Measurement and Modeling of Computer Systems (SIGMETRICS 2007), San Diego CA, pp. 145-156, 2007 (link) - "Self-Optimizing Web System"
Sei Kato, Junya Shimizu, Toshiyuki Hama, Takeshi Fukuda, and Toshiyuki Yamane
In Proc. of the IEEE International Workshop on Autonomic Computing Principles and Architectures (AUCOPA 2003), Banff AB, 2003, (link)
- "Automated Performance Problem Determination by Observing Service Demand"
