Electronics and Telecommunications Research Institute

Ok-Gee Min

Yong-Ju Lee

Hag-Young Kim

Jin-Hwan Jeong

Choon-Seo Park

Joon-Young Jung

Myung-Joon Kim

Dong-Oh Kang

Chang-Soo Kim

Song-woo Sok

Won-Jae Lee

Yoo-Hyun Park

Jung-Keun Kim

The preset invention is directed to a building energy management system and method, more specifically to a building energy management system and method that can quickly detect and control an abnormal situation or an emergency situation that may occur within a building.

Building energy management system and method

Provided are a method for generating an instantaneous decoding refresh (IDR) unit for trick play, and a trick play system and method using the same. The trick play system includes: a speed information input unit configured to receive a speed value; a transmission condition determining unit configured to determine instantaneous decoding refresh (IDR) transmission conditions based on the speed value inputted through the speed information input unit; a double-speed IDR-unit generating unit configured to generate a double-speed IDR-unit by adjusting the number and data size of video frames to be transmitted in accordance with the transmission conditions determined by the transmission condition determining unit; and a transmitting unit configured to transmit the generated double-speed IDR-unit to an external user terminal.

Method for generating double-speed IDR-unit for trick play, and trick play system and method using the same

Provided is an availability prediction method for a high availability. The method includes calculating a basic survival probability that the other node survives until a failure on one node of two nodes constituting a cluster is fixed, and determining an optimal number of nodes meeting a preset reference availability probability by calculating an availability probability for a predetermined range of the number of nodes on the basis of the basic survival probability. The method determines the number of nodes in the high availability cluster so as to match a reference availability probability, and is able to accomplish an optimal configuration of a cluster by calculating the availability probabilities for combinations between active node and passive nodes and between head nodes and switches.

Availability prediction method for high availability cluster

Growing community of inventors

Daejeon, South Korea

Ok-Gee Min