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조재영,( Kyungtaek Park ),( Seung Ho Choi ),( Sun Mi Choi ),( Jinwoo Lee ),( Chang-hoon Lee ),( Jung-kyu Lee ),( Eun Young Heo ),( Deog Kyeom Kim ),( Yeon Joo Lee ),( Jong Sun Park ),( Young-jae Cho ),( 대한결핵 및 호흡기학회 2017 대한결핵 및 호흡기학회 추계학술대회 초록집 Vol.124 No.0
Background: The clinical features of patients with nontuberculous mycobacteria (NTM) lung disease are well described, however, genetic factors of susceptibility to NTM lung disease are not understood. To examine genetic variants in patients with NTM lung disease, we conducted a genome-wide association study (GWAS). Methods: We genotyped 408 patients with NTM lung disease using the Illumina HumanCore BeadChip, and performed an association study with existing genotyping data of 4080 healthy controls from three Korean cohorts (Korean Association REsource [KARE], Healthy Twin Study, and routine health check-up program at the Seoul National University Hospital). Results: We identified three single nucleotide polymorphisms (SNPs) located in chromosome 14q31.1. The strongest signal was obtained at the rs1797671 (P = 5.76ⅹ10-8, OR = 2.11, 95% CI =95% CI = 1.61 to 2.76) in the intron of CEP128. rs10133034 in the intron of CEP128 and intergenic rs2150330 were also associated with NTM lung disease (P = 3.88ⅹ10-7 , OR = 1.99, 95% CI = 1.52 to 2.59 and P = 1.65ⅹ10-7, OR = 2.47, 95% CI = 1.76 to 3.47, respectively). Our estimate of the proportion of variance in the phenotype explained by all GWAS SNPs was 0.30 ± 0.06. Conclusions: We identified new genetic variants associated with NTM lung disease. The replication study to validate the result is going on. These findings may provide insight into the pathogenesis of NTM lung disease and identifying susceptible individuals to this disease.
센서 네트워크에서의 효율적인 라우팅 알고리즘에 대한 연구
박형순(Hyungsoon Park),정경택(Kyungtaek Chung),김시관(Si-Gwan Kim) 한국정보기술학회 2007 한국정보기술학회논문지 Vol.5 No.4
In this paper, we propose an efficient routing protocol called energy-efficient dynamic routing tree(EDRT) algorithm for the sensor networks. The idea of EDRT is to maximize in-network processing opportunities using the parent nodes and friend nodes. In-network processing reduces the number of message transmission by partially aggregating results of an aggregate query in intermediate nodes, or merging the results in one message, resulting in reduction of communication cost. Our experimental results based on simulations prove that our proposed method can reduce message transmissions more than query specific routing tree(QSRT) and flooding-based routing tree(FRT).
박진수,김경택,Park, Jinsu,Kim, kyungtaek 한국건설관리학회 2022 한국건설관리학회 논문집 Vol.23 No.6
Recently a method of constructing architectural products using additive manufacturing technology has been proposed. The additive manufacturing technology automates the construction process and it can secure the safety of workers. In addition, due to the high implementation efficiency of atypical shapes, the applicability to the manufacturing process of buildings and infrastructure is drawing attention. Additive manufacturing technology has the ability of satisfying computer-based construction automation, resource management and construction period prediction which is required in the modern construction industry. However, the industrial application is still limited by insufficient data, standards, regulations, and operating methods. In this study, in order to analyze the applicability of architectural additive manufacturing technology, we manufacture each architectural product with two additive manufacturing systems. In addition, we apply an application of each building product into an appropriate manufacturing system through the AM production decision model. And identify problems in the manufacturing process through empirical experiments. As a result, we propose an extended additive production decision model to improve the quality of building products.
Pose Tracking of Moving Sensor using Monocular Camera and IMU Sensor
( Sukwoo Jung ),( Seho Park ),( Kyungtaek Lee ) 한국인터넷정보학회 2021 KSII Transactions on Internet and Information Syst Vol.15 No.8
Pose estimation of the sensor is important issue in many applications such as robotics, navigation, tracking, and Augmented Reality. This paper proposes visual-inertial integration system appropriate for dynamically moving condition of the sensor. The orientation estimated from Inertial Measurement Unit (IMU) sensor is used to calculate the essential matrix based on the intrinsic parameters of the camera. Using the epipolar geometry, the outliers of the feature point matching are eliminated in the image sequences. The pose of the sensor can be obtained from the feature point matching. The use of IMU sensor can help initially eliminate erroneous point matches in the image of dynamic scene. After the outliers are removed from the feature points, these selected feature points matching relations are used to calculate the precise fundamental matrix. Finally, with the feature point matching relation, the pose of the sensor is estimated. The proposed procedure was implemented and tested, comparing with the existing methods. Experimental results have shown the effectiveness of the technique proposed in this paper.