Korea University

About: Korea University is a education organization based out in Seoul, South Korea. It is known for research contribution in the topics: Population & Catalysis. The organization has 39756 authors who have published 82424 publications receiving 1860927 citations. The organization is also known as: Bosung College & Bosung Professional College.

Measurement of Branching Fractions for B→ηcK(*) Decays

Abstract: We report measurements of branching fractions for charged and neutral $B\ensuremath{\rightarrow}{\ensuremath{\eta}}_{c}K$ decays where the ${\ensuremath{\eta}}_{c}$ meson is reconstructed in the ${K}_{S}^{0}{K}^{\ifmmode\pm\else\textpm\fi{}}{\ensuremath{\pi}}^{\ensuremath{\mp}}$, ${K}^{+}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{0}$, ${K}^{*0}{K}^{\ensuremath{-}}{\ensuremath{\pi}}^{+}$, and $p\overline{p}$ decay channels. The neutral ${B}^{0}$ channel is a $CP$ eigenstate and can be used to measure the $CP$ violation parameter $\mathrm{sin} 2{\ensuremath{\varphi}}_{1}$. We also report the first observation of the ${B}^{0}\ensuremath{\rightarrow}{\ensuremath{\eta}}_{c}{K}^{*0}$ mode. The results are based on an analysis of $29.1\text{ }{\mathrm{f}\mathrm{b}}^{\ensuremath{-}1}$ of data collected by the Belle detector at KEKB.

Fast digital image stabilizer based on Gray-coded bit-plane matching

Abstract: A fast digital image stabilizer based on the Gray-coded bit-plane matching is proposed which is robust to irregular conditions such as moving objects and intentional panning. The proposed digital image stabilization (DIS) system performs motion estimation using the Gray-coded bit-plane of video sequences, greatly reducing the computational load. This motion estimation method can be realized using only binary Boolean functions which have significantly reduced computational complexity, while the accuracy of motion estimation is maintained. In order to further improve the computational efficiency, the Gray-coded bit-plane matching with the three-step search (3SS) is proposed. Experimental results indicate that the proposed digital image stabilizer is a computationally efficient alternative to existing DIS systems.

OTIDS: A Novel Intrusion Detection System for In-vehicle Network by Using Remote Frame

Abstract: Controller Area Network (CAN) is a bus communication protocol which defines a standard for reliable and efficient transmission between in-vehicle nodes in real-time. Since CAN message is broadcast from a transmitter to the other nodes on a bus, it does not contain information about the source and destination address for validation. Therefore, an attacker can easily inject any message to lead system malfunctions. In this paper, we propose an intrusion detection method based on the analysis of the offset ratio and time interval between request and response messages in CAN. If a remote frame having a particular identifier is transmitted, a receiver node should respond to the remote frame immediately. In attack-free state, each node has a fixed response offset ratio and time interval while these values vary in attack state. Using this property, we can measure the response performance of the existing nodes based on the offset ratio and time interval between request and response messages. As a result, our methodology can detect intrusions by monitoring offset ratio and time interval, and it allows quick intrusion detection with high accuracy.

Single-image deraining using an adaptive nonlocal means filter

Abstract: An adaptive rain streak removal algorithm for a single image is proposed in this work. We observe that a typical rain streak has an elongated elliptical shape with a vertical orientation. Thus, we first detect rain streak regions by analyzing the rotation angle and the aspect ratio of the elliptical kernel at each pixel location. We then perform the nonlocal means filtering on the detected rain streak regions by selecting nonlocal neighbor pixels and their weights adaptively. Experimental results demonstrate that the proposed algorithm removes rain streaks more efficiently and provides higher restored image qualities than conventional algorithms.