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Our research focuses on statistical and mathematical models for predicting and controlling natural and socio-economic resource change within deterministic and stochastic frameworks. Through field survey, we conduct research on sustainable resource management as a socio-economic system. One of our current projects concerns risk evaluation and economic analysis of sustainable forest resource management (Fig. 2). (Yoshimoto)
Novel approach of neural system is expected to provide higher capability of solutions for varieties of complex data in existing areas. Especially identification of random events in time-space domain should be based on biological signal processing capability. New methodology is investigated on the knowledge of neuroethology of weakly electric fish, barn owl, and bat. A sensing method for liquid surface of LNG (Liquefied Natural Gas) in a tanker is achieved to keep safety energy transportation as the application studies. (Takizawa)
One of my current projects is methodological study of spatio-temporal analysis based on data driven approach and its application to the neural data. Though recent progress in measurement techniques offers detailed spatio-temporal information, statistical method has not been well developed to detect significant biological activations in low S/N ratio data. We have been investigating statistical time series model for this purpose and causal model to quantify functional connectivity between regions(Fig. 1). (Miwakeichi)
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