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.

Network system, network terminal, and method for specifying location of failure in network system

Abstract: In a network of a topology of a loop and a bus, occurrence of a failure is detected and a location of the failure is specified. Occurrence of the failure is detected by detecting that a specific signal pattern to be received at regular time intervals within a fixed time period is not received. A node which has detected occurrence of the failure transmits or receives a specifying signal among the nodes, and decide whether or not the failure has occurred adjacently to itself. A packet indicating a decided location of the failure is transmitted or received among nodes, and thereby respective nodes specify the location of the failure. When the failure has occurred at the master node, a node having a smallest node ID after waiting time according to the node ID operates as the alternative master node.

Clock free two-dimensional barcode and method for printing and reading the same

Abstract: Inventive two-dimensional barcodes, each having encoded digital information in a bitmap representing preferably randomized encoded data bits, are printed onto a printed medium. The bitmap may further include a plurality of block identifiers, spaced a predetermined number of encoded data bits apart, which are used to make corrections for missing or added data bits when the barcode is decoded. Upon decoding a barcode printed on the printed media, the digital information is scanned and the number of horizontal and vertical edges in each respective column and row of the barcode are determined. An edge is determined by selecting a pixel and determining if the two pixels adjacent to the selected pixel are of different colors. After all of the edges are counted, selected groups of columns and rows are analyzed to determine local minimas in the number of counted horizontal and vertical edges in each selected group which provide the column and row center line for each selected group. Thereafter, the binary data located at the intersection of each column and row center line are read out to produce a signal representative of the encoded digital information in the printed barcode.

An 80-Gb/s 300-GHz-Band Single-Chip CMOS Transceiver

Abstract: A single-chip CMOS transceiver (TRX) capable of wireless data rates up to 80 Gb/s using part of frequencies (252–279 GHz) covered by IEEE Std 802.15.3d is presented. The TRX chip operates in either transmitter (TX) or receiver (RX) mode at frequencies comparable to ${f_{\mathrm {max}}}$ of the NMOSFET. The TX part adopts mixer-last architecture with four-way power combining using a ring circuit called a double-rat-race. The RX part adopts fundamental-mixer-first direct-conversion architecture. In the RX mode, the TX serves as an LO multiplier chain, which conventionally accounted for a significant part of the RX die area. The double-rat-race, having an improved design than the original one, integrates the TX and RX and also rejects unwanted harmonics generated by the frequency-doubler-based upconversion mixer. Low-loss, low-characteristic-impedance transmission lines are used extensively to combat losses. The TRX was fabricated using a 40-nm CMOS process. The saturated output power of the TX is −1.6 dBm at 265.68 GHz. The mean single-sideband noise figure (SSB NF) of the RX is 22.9 dB. The TX mode and the RX mode consume dc power of 890 and 897 mW, respectively. A wireless data rate of 80 Gb/s between a pair of TRX chips is demonstrated with 16QAM over a distance of 3 cm.

Path setting method, and network, relay station and parent station employing the path setting method

Abstract: The present invention provides a path setting method for automatically setting network paths. The path setting method for generating paths in a network including a plurality of relay stations and a parent station which are connected with each other through a transmission line, comprises the steps of allowing each of the parent station and the plurality of relay stations to transmit basic information including its own identifier and its own path setting status, by means of a repetitive broadcast, allowing the relay station receiving the basic information to recognize the parent station or another relay station having a temporary path set thereto and transmit its own receiving-environment table including a transmission quality on the transmission line to the recognized station, allowing the another relay station receiving the receiving-environment table to forward it to the parent station through the use of the temporary path so as to notify the receiving-environment table to the parent station, and allowing the parent station receiving the forwarded receiving-environment table to set a temporary path to the relay station which has transmitted the receiving-environment table. In this manner, the parent station collects the transmission qualities on the inter-station transmission lines stepwise in order of the closest relay station to the farthest relay station to automatically set the paths.

Neural Person Search Machines

Abstract: We investigate the problem of person search in the wild in this work. Instead of comparing the query against all candidate regions generated in a query-blind manner, we propose to recursively shrink the search area from the whole image till achieving precise localization of the target person, by fully exploiting information from the query and contextual cues in every recursive search step. We develop the Neural Person Search Machines (NPSM) to implement such recursive localization for person search. Benefiting from its neural search mechanism, NPSM is able to selectively shrink its focus from a loose region to a tighter one containing the target automatically. In this process, NPSM employs an internal primitive memory component to memorize the query representation which modulates the attention and augments its robustness to other distracting regions. Evaluations on two benchmark datasets, CUHK-SYSU Person Search dataset and PRW dataset, have demonstrated that our method can outperform current state-of-the-arts in both mAP and top-1 evaluation protocols.