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Lee, Su-Yeon,Lee, Hui-Young,Song, Jae-Hwi,Kim, Goon-Tae,Jeon, Suwon,Song, Yoo-Jeong,Lee, Jae Sung,Hur, Jang-Ho,Oh, Hyun Hee,Park, Shi-Young,Shim, Soon-Mi,Yoo, Hyun Joo,Lee, Byung Cheon,Jiang, Xian-Che American Diabetes Association 2017 Diabetes Vol.66 No.10
<P>Sphingolipids have been implicated in the etiology of chronic metabolic diseases. Here, we investigated whether sphingolipid biosynthesis is associated with the development of adipose tissues and metabolic diseases. SPTLC2, a subunit of serine palmitoyltransferase, was transcriptionally upregulated in the adipose tissues of obese mice and in differentiating adipocytes. Adipocyte-specific SPTLC2-deficient (aSPTLC2 KO) mice had markedly reduced adipose tissue mass. Fatty acids that were destined for the adipose tissue were instead shunted to liver and caused hepatosteatosis. This impaired fat distribution caused systemic insulin resistance and hyperglycemia, indicating severe lipodystrophy. Mechanistically, sphingosine 1-phosphate (S1P) was reduced in the adipose tissues of aSPTLC2 KO mice, and this inhibited adipocyte proliferation and differentiation via the downregulation of S1P receptor 1 and decreased activity of the peroxisome proliferator-activator receptor gamma. In addition, downregulation of SREBP (sterol regulatory element-binding protein)-1c prevented adipogenesis of aSPTLC2 KO adipocytes. Collectively, our observations suggest that the tight regulation of de novo sphingolipid biosynthesis and S1P signaling plays an important role in adipogenesis and hepatosteatosis.</P>
( Suwon Lee ) 한국인터넷정보학회 2020 KSII Transactions on Internet and Information Syst Vol.14 No.10
Mobile devices such as smartphones are very attractive targets for augmented reality (AR) services, but their limited resources make it difficult to increase the number of objects to be recognized. When the recognition process is scaled to a large number of objects, it typically requires significant computation time and memory. Therefore, most large-scale mobile AR systems rely on a server to outsource recognition process to a high-performance PC, but this limits the scenarios available in the AR services. As a part of realizing large-scale standalone mobile AR, this paper presents a solution to the problem of accuracy, memory, and speed for large-scale object recognition. To this end, we design our own basic feature and realize spatial locality, selective feature extraction, rough pose estimation, and selective feature matching. Experiments are performed to verify the appropriateness of the proposed method for realizing large-scale standalone mobile AR in terms of efficiency and accuracy.
Quaternion-based 3D Attitude Tracking Algorithm Using Virtual Roll Angle for Missile Systems
Suwon Lee 제어·로봇·시스템학회 2023 International Journal of Control, Automation, and Vol.21 No.10
In this paper, a new type of three-dimensional attitude tracking algorithm for missiles is derived. A virtual roll angleis adopted to obtain additional control availability. The proposed attitude tracking algorithm is analyzed in a four-dimensional quaternion space. Based on the proposed algorithm, the attitude tracking algorithm can be designed more efficiently than in the existing control systems. A nonlinear attitude tracking algorithm is designed for the proposed control system, and an adaptation law for uncertainty is also designed. It is verified through numerical simulations that the proposed control system and tracking algorithm can successfully perform attitude tracking.
Sleep Mode Detection for Smart TV using Face and Motion Detection
( Suwon Lee ),( Yong-ho Seo ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.7
Sleep mode detection is a significant power management and green computing feature. However, it is difficult for televisions and smart TVs to detect deactivation events because we can use these devices without the assistance of an input device. In this paper, we propose a robust method for smart TVs to detect deactivation events based on a visual combination of face and motion detection. The results of experiments conducted indicate that the proposed method significantly reduces incorrect face detection and human absence by means of motion detection. The results also show that the proposed method is robust and effective for smart TVs to reduce power consumption.
Bag-of-binary-features for fast image representation
Suwon Lee,Choi, SuGil,Yang, Hyun S. IET 2015 Electronics letters Vol.51 No.7
<P>The possibility of integrating binary features into the bag-of-features (BoFs) model is explored. The set of binary features extracted from an image are packed into a single vector form, to yield the bag-of-binary-features (BoBFs). The efficient BoBF feature extraction and quantisation provide fast image representation. The trade-off between accuracy and efficiency in BoBF compared with BoF is investigated through image retrieval tasks. Experimental results demonstrate that BoBF is a competitive alternative to BoF when the run-time efficiency is critical.</P>
Single-View Reconstruction of a Manhattan World from Line Segments
Lee, Suwon,Seo, Yong-Ho The Institute of Internet 2022 International journal of advanced smart convergenc Vol.11 No.1
Single-view reconstruction (SVR) is a fundamental method in computer vision. Often used for reconstructing human-made environments, the Manhattan world assumption presumes that planes in the real world exist in mutually orthogonal directions. Accordingly, this paper addresses an automatic SVR algorithm for Manhattan worlds. A method for estimating the directions of planes using graph-cut optimization is proposed. After segmenting an image from extracted line segments, the data cost function and smoothness cost function for graph-cut optimization are defined by considering the directions of the line segments and neighborhood segments. Furthermore, segments with the same depths are grouped during a depth-estimation step using a minimum spanning tree algorithm with the proposed weights. Experimental results demonstrate that, unlike previous methods, the proposed method can identify complex Manhattan structures of indoor and outdoor scenes and provide the exact boundaries and intersections of planes.