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Mobile Beacon-Based 3D-Localization with Multidimensional Scaling in Large Sensor Networks
Eunchan Kim,Sangho Lee,Chungsan Kim,Kiseon Kim IEEE 2010 IEEE communications letters Vol.14 No.7
<P>Localization is essential in wireless sensor networks to handle the reporting of events from sensor nodes. For 3-D applications, we propose a mobile beacon-based localization using classical multidimensional scaling (MBL-MDS) by taking full advantage of MDS with connectivity and measurements. To further improve location performance, MBL-MDS adopts a selection rule to choose useful reference points, and a decision rule to prevent a failure case due to reference points placed on the same plane. Simulation results show improved performance of MBL-MDS in terms of location accuracy and computation complexity.</P>
클러터와 표적탐지실패 환경에서 방위각 다중센서를 이용한 S-D 할당 기법 기반의 표적 추적 알고리즘
김은찬(Eunchan Kim),박진태(Jintae Park),이새움(Saewoom Lee),김기선(Kiseon Kim),김기성(Gi-Sung Kim) 대한전자공학회 2010 대한전자공학회 학술대회 Vol.2010 No.6
In target motion analysis (TMA) based on bearings-only (BO), various approaches have been proposed to handle uncertain measurements under clutters. As a good method, S-D assignment is applied to TMA for filtering clutters as well as assigning measurements to targets. In this paper, we propose a novel tracking algorithm that every sensor maintains its state vector of bearings for a target, in order to prevent S-D assignment from deleting the state vector for the target when the target is not detected for a short time. Through simulations, we show the improvement over a conventional scheme under the failure in detecting a target.
Eunchan Kim,Kiseon Kim IEEE 2010 IEEE signal processing letters Vol.17 No.6
<P>In large-scale sensor networks, localization with mobile beacons is one of the most efficient ways to deploy sensor nodes as well as locate them. Direct communication with mobile beacons has an advantage of improvement in location accuracy by enabling sensor nodes to measure distances to the mobile beacons. Thus, it is important to improve the accuracy in the distance for high accurate positioning. In this letter, we propose a distance estimation scheme with weighted least squares in mobile beacon-based localization. First, we model distance measurements to a beacon node moving along the given linear tracks. Given our measurement model, the proposed scheme uses weighted least squares to minimize errors in distance measurements. Additionally we analyze the lower bound of errors in our distance estimation based on the Cramer-Rao bound. Simulation results show that our scheme can provide improved accuracy in both distance estimation and position estimation.</P>
Machine Learning-based Prediction of Relative Regional Air Volume Change from Healthy Human Lung CTs
Eunchan Kim,YongHyun Lee,Jiwoong Choi,Byungjoon Yoo,Kum Ju Chae,Chang-Hyun Lee 한국인터넷정보학회 2023 KSII Transactions on Internet and Information Syst Vol.17 No.2
Machine learning is widely used in various academic fields, and recently it has been actively applied in the medical research. In the medical field, machine learning is used in a variety of ways, such as speeding up diagnosis, discovering new biomarkers, or discovering latent traits of a disease. In the respiratory field, a relative regional air volume change (RRAVC) map based on quantitative inspiratory and expiratory computed tomography (CT) imaging can be used as a useful functional imaging biomarker for characterizing regional ventilation. In this study, we seek to predict RRAVC using various regular machine learning models such as extreme gradient boosting (XGBoost), light gradient boosting machine (LightGBM), and multi-layer perceptron (MLP). We experimentally show that MLP performs best, followed by XGBoost. We also propose several relative coordinate systems to minimize intersubjective variability. We confirm a significant experimental performance improvement when we apply a subject's relative proportion coordinates over conventional absolute coordinates.
구조물 정보 제공을 위한 위치기반의 증강현실(AR)에 대한 연구: 캠퍼스 중심으로
나은찬 ( Eunchan Na ),이영재 ( Youngjae Lee ),김현규 ( Hyeongyu Kim ),최성률 ( Seongryul Choi ),김영종 ( Youngjong Kim ) 한국정보처리학회 2019 한국정보처리학회 학술대회논문집 Vol.26 No.1
4차 산업 혁명의 핵심기술로 손꼽히는 AR을 이용하여 캠퍼스 이용에 유용한 정보를 제공한다. 사물 인식, 위치기반의 AR구현 방식을 사용하며 AR네비게이션 방식으로 입체화된 길안내 정보를 제공한다. AR을 통해 제공되는 정보는 이미지 혹은 텍스트가 될 수 있고 3D모델, 미디어 그리고 이들의 모든 조합의 형태를 취할 수 있다.