No abstract

We have constructed a new application of continuous sensing of human physiological data during daily a business setting. By capturing the subtle changes and differences in motion rhythm detected through an accelerator rather than trying to identify the context of human activities, we are envisioning the prediction of a person's psychological flow state, i.e., the engagement in one's task. A badge-shaped wearable sensor device called "Business Microscope" was developed and deployed in a real organization, an office supply firm, for one month to study how effectively flow states could be measured during daily work. We found that even though each subject behaved at different motion rhythms when they were in flow, the consistency of motion rhythm around 2 to 3 Hz was correlated with the richness of flow during work (r=0.47, p<0.01).

The polarization decay process in SrBi2(Ta, Nb)2O9 capacitors and retention characteristics of a 288-bit ferroelectric memory device fabricated from SrBi2(Ta, Nb)2O9 were studied. The remanent polarization decay at room temperature showed good linearity when plotted against logarithmic retention time over a wide range of 10-3–105 s. The distribution of times to failure of a 288-bit memory was fit to a model having a linear relationship between log (log t f) and 1/T for the period of infant failures and to the Arrhenius model having the form log t f vs 1/T for the period of random failures, where t f is the time to failure and T is the temperature. The activation energy was found to be 0.35 eV for infant failures and 1.15 eV for random failures. Possible causes for the difference in activation energies are discussed.

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No abstract