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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
Jinyun Zhang1, Philip Orlik1, Zafer Sahinoglu1, Andreas F. Molisch1, P. Kinney 
16 Mar 2009
TL;DR: The IEEE 802.15.4a standard is described, an important system that adopts UWB impulse radio to ensure robust data communications and precision ranging and uses specific modulation, coding, and ranging waveforms that can be detected well by both coherent and noncoherent receivers.
Abstract: Wireless sensor networks are emerging as an important area for communications. They enable a wealth of new applications including surveillance, building control, factory automation, and in-vehicle sensing. The sensor nodes have to operate under severe constraints on energy consumption and form factor, and provide the ability for precise self-location of the nodes. These requirements can be fulfilled very well by various forms of ultra-wide-band (UWB) transmission technology. We discuss various techniques and tradeoffs in UWB systems and indicate that time-hopping and frequency-hopping impulse radio physical layers combined with simple multiple-access techniques like ALOHA are suitable designs. We also describe the IEEE 802.15.4a standard, an important system that adopts UWB impulse radio to ensure robust data communications and precision ranging. In order to accommodate heterogeneous networks, it uses specific modulation, coding, and ranging waveforms that can be detected well by both coherent and noncoherent receivers.

370 citations

Journal ArticleDOI
04 Apr 1997-Cell
TL;DR: Through induction of the hydrolase and the resulting up-regulation of the ubiquitin pathway, learning recruits a regulated form of proteolysis that removes inhibitory constraints on long-term memory storage.

367 citations

Journal ArticleDOI
TL;DR: In this article, Hidden Markov Models (HMMs) are used to organize observed activity into meaningful states by minimizing the entropy of the joint distribution of the HMMs' internal state machine.
Abstract: Hidden Markov models (HMMs) have become the workhorses of the monitoring and event recognition literature because they bring to time-series analysis the utility of density estimation and the convenience of dynamic time warping. Once trained, the internals of these models are considered opaque; there is no effort to interpret the hidden states. We show that by minimizing the entropy of the joint distribution, an HMM's internal state machine can be made to organize observed activity into meaningful states. This has uses in video monitoring and annotation, low bit-rate coding of scene activity, and detection of anomalous behavior. We demonstrate with models of office activity and outdoor traffic, showing how the framework learns principal modes of activity and patterns of activity change. We then show how this framework can be adapted to infer hidden state from extremely ambiguous images, in particular, inferring 3D body orientation and pose from sequences of low-resolution silhouettes.

361 citations

Journal ArticleDOI
15 Jan 2006-Blood
TL;DR: Deep molecular weight forms of ADAMTS13 were found in the plasma of patients with sepsis-induced DIC, suggesting that the deficiency of ADamTS13 was partially caused by its cleavage by proteases in addition to decreased synthesis in the liver.

360 citations

Journal ArticleDOI
TL;DR: A simple, novel, and general method for approximating the sum of independent or arbitrarily correlated lognormal random variables (RV) by a single logn formalism RV without the extremely precise numerical computations at a large number of points that were required by the previously proposed methods.
Abstract: A simple, novel, and general method is presented in this paper for approximating the sum of independent or arbitrarily correlated lognormal random variables (RV) by a single lognormal RV. The method is also shown to be applicable for approximating the sum of lognormal-Rice and Suzuki RVs by a single lognormal RV. A sum consisting of a mixture of the above distributions can also be easily handled. The method uses the moment generating function (MGF) as a tool in the approximation and does so without the extremely precise numerical computations at a large number of points that were required by the previously proposed methods in the literature. Unlike popular approximation methods such as the Fenton-Wilkinson method and the Schwartz-Yeh method, which have their own respective short-comings, the proposed method provides the parametric flexibility to accurately approximate different portions of the lognormal sum distribution. The accuracy of the method is measured both visually, as has been done in the literature, as well as quantitatively, using curve-fitting metrics. An upper bound on the sensitivity of the method is also provided.

356 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