The spin structure of domain walls in constrictions down to 30 nm is investigated both
experimentally with electron holography and with simulations using a Heisenberg model …

We propose a novel mining algorithm called cluster sequence mining (CSM) to extract
cluster pairs with occurrence correlation from event sequence data. CSM extracts patterns …

We propose a concept drift detection method utilizing statistical change detection in which a
drift detection method and the Page-Hinkley test are employed. Our method enables users …

A good sleep is important for a healthy life. Recently, several consumer sleep devices have
emerged on the market claiming that they can provide personal sleep monitoring; however …

We propose a method to discover sleep patterns via clustering of sound events recorded
during sleep. The proposed method extends the conventional self-organizing map algorithm …

In this study, we research the mechanical correlations among components of solid oxide fuel
cell (SOFC) by analyzing the co-occurrence of acoustic emission (AE) events which are …

The quality of a good sleep is important for a healthy life. Recently, several sleep analysis
products have emerged on the market; however, many of them require additional hardware …

SOFC effective area for power generation is reduced when delamination occurs. Hence, non-
destructive evaluation methods for detecting delamination of SOFC are required. We …

We previously developed a technique by which to measure the mechanical damage of
SOFC using the acoustic emission (AE) method. In the present paper, we applied an …

We have proposed a novel data mining method called co-occurring cluster mining (CCM) for
mining patterns from a sequence of multidimensional event data. The CCM first generates …