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Institution

Toyota

CompanySafenwil, Switzerland
About: Toyota is a company organization based out in Safenwil, Switzerland. It is known for research contribution in the topics: Internal combustion engine & Battery (electricity). The organization has 40032 authors who have published 55003 publications receiving 735317 citations. The organization is also known as: Toyota Motor Corporation & Toyota Jidosha KK.


Papers
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Proceedings ArticleDOI
23 Jun 2013
TL;DR: A hierarchical segmentation algorithm that starts with a very fine over segmentation and gradually merges regions using a cascade of boundary classifiers, which allows the weights of region and boundary features to adapt to the segmentation scale at which they are applied.
Abstract: We propose a hierarchical segmentation algorithm that starts with a very fine over segmentation and gradually merges regions using a cascade of boundary classifiers. This approach allows the weights of region and boundary features to adapt to the segmentation scale at which they are applied. The stages of the cascade are trained sequentially, with asymetric loss to maximize boundary recall. On six segmentation data sets, our algorithm achieves best performance under most region-quality measures, and does it with fewer segments than the prior work. Our algorithm is also highly competitive in a dense over segmentation (super pixel) regime under boundary-based measures.

133 citations

Journal ArticleDOI
TL;DR: This paper develops a permanent-magnet synchronous motor control method for all rotor speeds that increases the torque and the efficiency at high speed when compared to the ordinary current error feedback method.
Abstract: Hybrid electrical vehicles and electrical vehicles are being actively developed. A hybrid electric vehicle motor design requires high efficiency, high power/weight ratio, and reliability from low rotor speed to high rotor speed. The permanent-magnet synchronous motor is used in order to fulfill these requirements. The purpose of this paper is to develop a permanent-magnet synchronous motor control method for all rotor speeds. This method increases the torque and the efficiency at high speed when compared to the ordinary current error feedback method. A method composed of two compensators is proposed to achieve this objective. One of the compensators controls the torque using the voltage phases. The other one is the ordinary current error feedback. Several correcting methods for the voltage phase compensator have been proposed for the compensator for many control demands. The validity of the proposed method was confirmed using simulation and experimental evaluations.

133 citations

Journal ArticleDOI
TL;DR: In this article, the authors investigated the reaction of Li[BH 4 ] with MgCl 2 at elevated temperatures and found that only the second reaction step (MgH 2 ǫ→ Mg) is reversible at the condition up to 623 K at 10 MPa of hydrogen.

133 citations

Patent
18 Mar 2005
Abstract: In a belt type continuously variable transmission in which a pulley shaft (SP) is supported by bearings (31, 32) provided at two positions that are apart from each other in an axial direction of the pulley shaft (SP) and a supply oil passage for supplying hydraulic fluid to a pulley hydraulic chamber (40A, 40B) includes a radial direction oil passage (SPB) that is formed in the pulley shaft (SP,), the radial direction oil passage (SPB) is formed on an outside of an area between the above-mentioned two positions. Also, one of the bearings (32) is provided near the radial direction oil passage (SPB) and on an outer surface side of a cylinder member (70) whose inner surface side forms the pulley hydraulic chamber (40B) for a movable sheave (38) that is fixed to the pulley shaft (SP). With this structure, concentration of stress on the radial direction oil passage can be avoided, and therefore strength of the pulley shaft can be secured.

132 citations

Journal ArticleDOI
TL;DR: The results suggest that WM task‐relevant brain regions are coordinated by distant theta synchronization for central executive functions, by local alpha synchronization for the memory storage buffer, and by theta–alpha coupling for inter‐functional integration.
Abstract: Working memory (WM) tasks require not only distinct functions such as a storage buffer and central executive functions, but also coordination among these functions. Neuroimaging studies have revealed the contributions of different brain regions to different functional roles in WM tasks; however, little is known about the neural mechanism governing their coordination. Electroencephalographic (EEG) rhythms, especially theta and alpha, are known to appear over distributed brain regions during WM tasks, but the rhythms associated with task-relevant regional coupling have not been obtained thus far. In this study, we conducted time-frequency analyses for EEG data in WM tasks that include manipulation periods and memory storage buffer periods. We used both auditory WM tasks and visual WM tasks. The results successfully demonstrated function-specific EEG activities. The frontal theta amplitudes increased during the manipulation periods of both tasks. The alpha amplitudes increased during not only the manipulation but also the maintenance periods in the temporal area for the auditory WM and the parietal area for the visual WM. The phase synchronization analyses indicated that, under the relevant task conditions, the temporal and parietal regions show enhanced phase synchronization in the theta bands with the frontal region, whereas phase synchronization between theta and alpha is significantly enhanced only within the individual areas. Our results suggest that WM task-relevant brain regions are coordinated by distant theta synchronization for central executive functions, by local alpha synchronization for the memory storage buffer, and by theta-alpha coupling for inter-functional integration.

132 citations


Authors

Showing all 40045 results

NameH-indexPapersCitations
Derek R. Lovley16858295315
Edward H. Sargent14084480586
Shanhui Fan139129282487
Susumu Kitagawa12580969594
John B. Buse117521101807
Meilin Liu11782752603
Zhongfan Liu11574349364
Wolfram Burgard11172864856
Douglas R. MacFarlane11086454236
John J. Leonard10967646651
Ryoji Noyori10562747578
Stephen J. Pearton104191358669
Lajos Hanzo101204054380
Masashi Kawasaki9885647863
Andrzej Cichocki9795241471
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202232
2021942
20201,846
20192,981
20182,541