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Spatial distributions and temporal changes of radioactive fallout released by the Fukushima Dai-ichi Nuclear Power Plant accident have been investigated by two campaigns with three measurement schedules. The inventories (activities per unit area) of the radionuclides deposited onto ground soil were measured using portable gamma-ray spectrometers at nearly(More)
Damage to the Fukushima nuclear power plant caused by the 11 March 2011 earthquake and tsunami off the northeast coast of Japan resulted in the release into the environment of radioactive material. Airborne radioactive material was detected in metropolitan areas near Tokyo, and increases in radiation dose rate were observed at many locations. In this study,(More)
Distribution maps of air dose rates around the Fukushima Dai-ichi Nuclear Power Plant were constructed using the results of measurement obtained from approximately 6500 locations (at most) per measurement period. The measurements were conducted 1 m above the ground using survey meters in flat and spatially open locations. Spatial distribution and temporal(More)
VLSI yield optimization and design centering are two key interests in the development of submicron VLSI's. Accordingly, we have developed a new design automation technique based on simulation CAD tools. The features of this methodology are great reduction of simulation time in device optimization, and accurate prediction of process sensitivity in device(More)
A logic partitioning procedure for computer aided design of LSI's which gets solutions by interchanging clusters is described. The procedure of generating clusters has some distinct features which assure that the clusters are suitable as units for interchanging. The cluster concept gives the Kernighan and Lin algorithm foresight and efficiency, and because(More)
The EEG is a time-varying or nonstationary signal. Frequency and amplitude are two of its significant characteristics, and are valuable clues to different states of brain activity. Detection of these temporal features is important in understanding EEGs. Commonly, spectrograms and AR models are used for EEG analysis. However, their accuracy is limited by(More)
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