Scope of the Symposium

The objective of the ISCIE International Symposium on Stochastic Systems (SSS) and Its Application is providing a forum in which we discuss recent advances in stochastic processes, stochastic systems and their practical applications. It also provides them with an opportunity to establish and maintain contacts with colleagues. The symposium is organized and sponsored by the Institute of Systems, Control and Information Engineers (ISCIE).

The first symposium was held in Kyoto, Japan in 1968. The 17th Symposium in 1985 was a first international symposium for opening the contributed papers to scientist and engineers in the countries out of Japan. The previous symposiums were held at Kyoto (1968, 1970 - 1978, 1981, 1983, 1985, 1992, 1996, 1998, 2008, 2014), Tokyo (1979, 1986, 1989, 1997, 2012), Kanazawa (1980), Kobe (1982, 2009), Hamamatsu (1984), Fukuoka (1987, 2002, 2016), Osaka (1988, 1991, 1993, 1994, 2005), Hiroshima (1990, 2017), Beppu (1995), Yokohama (1999), Tottori (2000), Ashikaga (2001), Ube (2003), Hatoyama (2004), Suwa (2006), Saga (2007), Okayama (2010), Shiga(2011) , Okinawa (2013), Honolulu (2015), Fukuoka (2016) , Hiroshima (2017) and Kyoto(2018).

Topics

The following list of topics is of obvious relevance to the symposium, but papers related with stochastic processes and stochastic systems not embraced by this list will be also welcome:

• Modeling, Filtering and Control of Stochastic Systems and Stochastic Processes
• Analysis of Stochastic Systems and Stochastic Processes
• System Identification and Parameter Estimation
• Time Series Analysis and Spectral Estimation
• Signal Detection and Statistical Signal Processing
• Stochastic Optimization Methods and Evolutionary Methods
• Mathematical Finance
• Fault Detection and Diagnosis
• Control of Networks
• Chaos and Fractal
• Neural Networks and Fuzzy Systems
• Image Processing
• Pattern Recognition, Computer Vision and 3-D Information Processing
• Probabilistic Robotics
• Medical and Biomedical Systems
• Statistical Methods for GNSS Navigation
• Applications in Engineering related to Stochastic Processes and Stochastic Systems