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Fall detection and prevention require logged physiological activity data of a patient for a long period of time. This work develops a data acquisition system to collect motion data from multiple patients and store in a data base. A wireless sensor network is built using high precision inertia sensors and low power Zigbee wireless transceivers. Testing results prove the system function properly. Researchers and physicians can now retrieve and analyze the accurate data of the patient movement with ease.

Heavy-ion experiments on spatially isolated inverters and densely populated inverters demonstrate the effects of transistor density on single-event (SE) transients in bulk CMOS. Increased transistor density reduces SE cross section dramatically while having little impact on transient pulse width.

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