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Institution

Mitsubishi

CompanyTokyo, Japan
About: Mitsubishi is a company organization based out in Tokyo, Japan. It is known for research contribution in the topics: Layer (electronics) & Signal. The organization has 53115 authors who have published 54821 publications receiving 870150 citations. The organization is also known as: Mitsubishi Group of Companies & Mitsubishi Companies.


Papers
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Journal ArticleDOI
TL;DR: A DNA fragment conferring resistance to zinc and cadmium ions in the yeast Saccharomyces cerevisiae was isolated from a library of yeast genomic DNA and named the ZRC1 (zinc resistance conferring) gene, indicating the ORF is required for resistance.
Abstract: A DNA fragment conferring resistance to zinc and cadmium ions in the yeast Saccharomyces cerevisiae was isolated from a library of yeast genomic DNA. Its nucleotide sequence revealed the presence of a single open reading frame (ORF; 1326 bp) having the potential to encode a protein of 442 amino acid residues (molecular mass of 48.3 kDa). A frameshift mutation introduced within the ORF abolished resistance to heavy metal ions, indicating the ORF is required for resistance. Therefore, we termed it the ZRC1 (zinc resistance conferring) gene. The deduced amino acid sequence of the gene product predicts a rather hydrophobic protein with six possible membrane-spanning regions. While multiple copies of the ZRC1 gene enable yeast cells to grow in the presence of 40 mM Zn2+, a level at which wild-type cells cannot survive, the disruption of the chromosomal ZRC1 locus, though not a lethal event, makes cells more sensitive to zinc ions than are wild-type cells.

197 citations

Patent
22 Jan 1996
TL;DR: In this paper, a small and well-characterized bulk acoustic wave device by fabricating a filter having wide band width or a resonator having a wide oscillation frequency range together with a semiconductor circuit is presented.
Abstract: Embodiments of the present invention provide a small and well-characterized bulk acoustic wave device by fabricating a filter having a wide band width or a resonator having a wide oscillation frequency range together with a semiconductor circuit. In embodiments of the present invention, a bulk acoustic wave device comprises a semiconductor substrate having a dielectric substance layer thereon, the dielectric substance layer has a ground conductor layer thereon, the ground conductor layer has a piezoelectric ceramic thin film thereon and the piezoelectric ceramic thin film has a conductive electrode pattern thereon. The thickness of the piezoelectric ceramic thin film is more than ten times the thickness of the ground conductor layer, and the wave number of acoustic waves that propagate in a direction parallel to a surface of the piezoelectric ceramic thin film multiplied by the thickness of the piezoelectric ceramic thin film is less than 2.

196 citations

Journal ArticleDOI
TL;DR: The role of the SCN as a pacemaker of endogenous circadian rhythm in sleep-wakefulness is discussed and the appearance of paradoxical sleep (PS) paralleled slow-wave sleep (SWS), in the cases of the circadian rhythm and ultradian rhythms with 4--7 h periodicity.

196 citations

Journal ArticleDOI
TL;DR: The randomness and mean orientation angle maps generated using the adaptive decomposition significantly improve the physical interpretation of the scattering observed at the three different frequencies.
Abstract: Previous model-based decomposition techniques are applicable to a limited range of vegetation types because of their specific assumptions about the volume scattering component. Furthermore, most of these techniques use the same model, or just a few models, to characterize the volume scattering component in the decomposition for all pixels in an image. In this paper, we extend the model-based decomposition idea by creating an adaptive model-based decomposition technique, allowing us to estimate both the mean orientation angle and a degree of randomness for the canopy scattering for each pixel in an image. No scattering reflection symmetry assumption is required to determine the volume contribution. We examined the usefulness of the proposed decomposition technique by decomposing the covariance matrix using the National Aeronautics and Space Administration/Jet Propulsion Laboratory Airborne Synthetic Aperture Radar data at the C-, L-, and P-bands. The randomness and mean orientation angle maps generated using our adaptive decomposition significantly improve the physical interpretation of the scattering observed at the three different frequencies.

196 citations

Proceedings ArticleDOI
21 Nov 2005
TL;DR: The proposed hybrid solution is capable of detecting new kinds of suspicious audio events that occur as outliers against a background of usual activity and adaptively learns a Gaussian mixture model to model the background sounds and updates the model incrementally as new audio data arrives.
Abstract: We proposed a time series analysis based approach for systematic choice of audio classes for detection of crimes in elevators in R Radhakrishnan et al (2005) Since all the different sounds in a surveillance environment cannot be anticipated, a surveillance system for event detection cannot completely rely on a supervised audio classification framework In this paper, we propose a hybrid solution that consists two parts; one that performs unsupervised audio analysis and another that performs analysis using an audio classification framework obtained from off-line analysis and training The proposed system is capable of detecting new kinds of suspicious audio events that occur as outliers against a background of usual activity It adaptively learns a Gaussian mixture model (GMM) to model the background sounds and updates the model incrementally as new audio data arrives New types of suspicious events can be detected as deviants from this usual background model The results on elevator audio data are promising

196 citations


Authors

Showing all 53117 results

NameH-indexPapersCitations
Thomas S. Huang1461299101564
Kazunari Domen13090877964
Kozo Kaibuchi12949360461
Yoshimi Takai12268061478
William T. Freeman11343269007
Tadayuki Takahashi11293257501
Takashi Saito112104152937
H. Vincent Poor109211667723
Qi Tian96103041010
Andreas F. Molisch9677747530
Takeshi Sakurai9549243221
Akira Kikuchi9341228893
Markus Gross9158832881
Eiichi Nakamura9084531632
Michael Wooldridge8754350675
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
20222
2021199
2020310
2019389
2018422