Seoul National University

Samsung Electronics Co., Ltd.

Skhynix Inc.

William Marsh Rice University

Seongsoo Hong

Daedong Park

Yong-Seok Park

Sangwook Kim

Ok-Seon Lee

Soo-Young Jang

Young-Ki Hong

Anshumali Shrivastava

Krishna Palem

Chen Luo

Yongshik Moon

Sungju Huh

Soonhyun Noh

A device, system, and methods are described to perform machine-learning camera-based indoor mobile positioning. The indoor mobile positioning may utilize inexact computing, wherein a small decrease in accuracy is used to obtain significant computational efficiency. Hence, the positioning may be performed using a smaller memory overhead at a faster rate and with lower energy cost than previous implementations. The positioning may not involve any communication (or data transfer) with any other device or the cloud, providing privacy and security to the device. A hashing-based image matching algorithm may be used which is cheaper, both in energy and computation cost, over existing state-of-the-art matching techniques. This significant reduction allows end-to-end computation to be performed locally on the mobile device. The ability to run the complete algorithm on the mobile device may eliminate the need for the cloud, resulting in a privacy-preserving localization algorithm by design since network communication with other devices may not be required.

Camera-based positioning system using learning

A method for transmitting data in a mobile device includes transmitting, to a reception device, a connection request message comprising information indicating whether the transmission device supports message transmission having temporal correlation; receiving, from the reception device, a connection response message comprising information indicating whether the reception device supports the message transmission in response to the connection request message; and if both the transmission device and the reception device support the message transmission, transmitting, to the reception device, at least two of messages having temporal correlation, the at least two of messages comprising identification information, wherein the identification information indicates that the at least two of messages have temporal correlation.

Method and apparatus for transmitting signals having temporal correlation

A data management system and method for processing distributed data, which adaptively adjusts the amounts of data to be read from a plurality of storages, depending on I/O performances of the respective storages. The data management system includes a plurality of storage nodes each storing duplicate data of original data, and a distributed data management unit providing read requests for parts of the duplicate data to the respective storage nodes, combining the read parts into a complete version of the data, and outputting the complete version of the data.

Data management system and method for processing distributed data

A method of determining a transmission time of a packet in a mobile device according to the present disclosure may include: if a request for the transmission of a present packet from at least one operated application is detected, identifying whether it is possible to delay a transmission time of the present packet; when it is possible to delay the transmission time of the present packet, calculating a power gain generated as the transmission time of the present packet is delayed; and determining whether the transmission time of the present packet will be delayed according to the calculated power gain.

Method and apparatus for determining packet transmission time using power gain due to packet transmission delay

Growing community of inventors

Seoul, South Korea

Seongsoo Hong