Panasonic

About: Panasonic is a company organization based out in Kadoma, Ôsaka, Japan. It is known for research contribution in the topics: Signal & Layer (electronics). The organization has 49129 authors who have published 71118 publications receiving 942756 citations. The organization is also known as: Panasonikku Kabushiki-gaisha & Panasonic.

Laminate sheath type battery

Abstract: A laminate sheath type battery has an electrode-group fixing means for preventing movement of an electrode-group (2) in a sheath case (1, 18). The electrode-group fixing means includes a protective frame (19, 33, 38, 50, 54) attached to the electrode-group (2) in such a manner as to surround the latter, an insulation frame-like spacer (59, 69, 70, 77, 78) received in the sheath case (1, 18) together with the electrode-group (2) and filling the space in the sheath case (1, 18) on the lead take-out side of the electrode-group (2) within the sheath case (1, 18), an arrangement for thermally bonding the sheath case (1, 18) and the electrode-group (2) to each other, or an abutment surface (87h) formed on a sheath case (87) itself and abutting against the end surface of the electrode-group (2) received in the sheath case (87).

Video-Based Person Re-Identification With Accumulative Motion Context

Abstract: Video-based person re-identification plays a central role in realistic security and video surveillance. In this paper, we propose a novel accumulative motion context (AMOC) network for addressing this important problem, which effectively exploits the long-range motion context for robustly identifying the same person under challenging conditions. Given a video sequence of the same or different persons, the proposed AMOC network jointly learns appearance representation and motion context from a collection of adjacent frames using a two-stream convolutional architecture. Then, AMOC accumulates clues from motion context by recurrent aggregation, allowing effective information flow among adjacent frames and capturing dynamic gist of the persons. The architecture of AMOC is end-to-end trainable, and thus, motion context can be adapted to complement appearance clues under unfavorable conditions ( e.g. , occlusions). Extensive experiments are conduced on three public benchmark data sets, i.e. , the iLIDS-VID, PRID-2011, and MARS data sets, to investigate the performance of AMOC. The experimental results demonstrate that the proposed AMOC network outperforms state-of-the-arts for video-based re-identification significantly and confirm the advantage of exploiting long-range motion context for video-based person re-identification, validating our motivation evidently.

Customizing the speaking style of a speech synthesizer based on semantic analysis

Abstract: A method is provided for customizing the speaking style of a speech synthesizer. The method includes: receiving input text; determining semantic information for the input text; determining a speaking style for rendering the input text based on the semantic information; and customizing the audible speech output of the speech synthesizer based on the identified speaking style.

Multiprocessor system shaving processor based idle state detection and method of executing tasks in such a multiprocessor system

Abstract: The present invention provides a method for executing tasks in a multiprocessor system including a plurality of processors, each processor taking either an "idle" state and a "run" state, wherein the method includes the steps of: detecting, when a first processor among the plurality of processors that is executing a first task newly generates a second task, whether or not a second processor taking the "idle" state exists among the plurality of processors; assigning the second task, if a second processor taking the "idle" state is detected, to the second processor, so as to begin execution of the second task by the second processor, change the state of the second processor from the "idle" state to the "run" state, and store a flag having a first value indicating that the execution of the first task has not been suspended; and suspending, if no second processor taking the "idle" state is detected, the execution of the first task by the first processor, beginning execution of the second task by the first processor, and storing a flag having a second value indicating that the execution of the first task has been suspended.