A5102976179- Robotics and Sensor-Based Localization
- Diverse Topics in Contemporary Research
- Cultural and Historical Studies
- Robotic Path Planning Algorithms
- Particle Detector Development and Performance
- Consumer Perception and Purchasing Behavior
- Radiation Detection and Scintillator Technologies
- Hearing Loss and Rehabilitation
- 3D Surveying and Cultural Heritage
- Indoor and Outdoor Localization Technologies
- GNSS positioning and interference
- Ionosphere and magnetosphere dynamics
- Hearing, Cochlea, Tinnitus, Genetics
- Infrastructure Maintenance and Monitoring
- Remote Sensing and LiDAR Applications
- UAV Applications and Optimization
- Earthquake Detection and Analysis
- Nuclear Physics and Applications
- Landslides and related hazards
- Dark Matter and Cosmic Phenomena
- Inertial Sensor and Navigation
- Advanced Neural Network Applications
- Structural Health Monitoring Techniques
- Education and Learning Interventions
- Marine Invertebrate Physiology and Ecology
Korea National Open University
2025
Hankuk University of Foreign Studies
2024
Korea Electronics Technology Institute
2021-2023
Incheon National University
2022-2023
Dong-A University
2004-2023
Jeju National University
2021
Korea Advanced Institute of Science and Technology
2012-2020
European Neuroscience Institute Göttingen
2019
Kyungpook National University
2006-2018
Daejeon Institute of Science and Technology
2017
The Korea Invisible Mass Search (KIMS) experiment presents new limits on the weakly interacting massive particle (WIMP)-nucleon cross section using data from an exposure of 3409 kg·d taken with low-background CsI(Tl) crystals at Yangyang Underground Laboratory. most stringent limit spin-dependent interaction for a pure proton case is obtained. DAMA signal region both spin-independent and interactions WIMP masses greater than 20 GeV/c2 excluded by single crystal scintillators.Received 3 April...
This letter presents benchmark tests of various visual(-inertial) odometry algorithms on NVIDIA Jetson platforms. The compared include mono and stereo, covering Visual Odometry (VO) Visual-Inertial (VIO): VINS-Mono, VINS-Fusion, Kimera, ALVIO, Stereo-MSCKF, ORB-SLAM2 ROVIO. As these methods are mainly used for unmanned aerial vehicles (UAVs), they must perform well in situations where the size processing board weight is limited. boards released by satisfy constraints as have a sufficiently...
With the increasing importance of services in manufacturing industry, manufacturers have been providing customers with packages that combine products and services. Such a product–service combination trend is often referred to as "servitization" and/or "product–service system," its impact on firm performance has studied over decades. Although firms can improve their through service product innovation, uncertainty may cause them experience potential risks. Notwithstanding risk associated...
With the shifting healthcare environment, importance of public systems is being emphasized, and efficiency has become a critical research agenda. We reviewed recent on using DEA, which one leading methods for analysis. Through systematic review, we investigated trends in terms purposes, specific DEA techniques, input/output factors used models, etc. Based review results, future directions are suggested. The results this paper provide valuable information guidelines systems.
Recently, owing to changes in weather conditions, cyanobacterial blooms, also known as harmful algal blooms (HABs), have caused serious damage the ecosystems of rivers and lakes by producing cyanotoxins. In this paper, for removal HABs, an bloom robotic system (ARROS) is proposed. The ARROS has been designed with a catamaran-type unmanned surface vehicle (USV) algae-removal device attached below. addition, electrical control systems guidance, navigation, (GNC) are implemented on remove...
Recently, it has become a tendency to replace the work that people have been doing with autonomous system using robots such as unmanned aerial vehicles in structure inspection work, especially bridge section. In this paper, we propose framework of UAV. The consists six-step process. This process starts pre-flight for 3D mapping target LiDAR and RTK-GPS. Using acquired map, user selects viewpoints (waypoints) according location be inspected plans an efficient path connect points. Then...
With the increasing demand for autonomous systems in field of inspection, use unmanned aerial vehicles (UAVs) to replace human labor is becoming more frequent. However, Global Positioning System (GPS) signal usually denied environments near or under bridges, which makes manual operation a UAV difficult and unreliable these areas. This paper addresses novel hierarchical graph-based simultaneous localization mapping (SLAM) method fully bridge inspection using an vehicle, as well technical...
This paper presents a benchmark analysis of NVIDIA Jetson platforms when operating deep learning-based 3D object detection frameworks. Three-dimensional (3D) could be highly beneficial for the autonomous navigation robotic platforms, such as vehicles, robots, and drones. Since function provides one-shot inference that extracts positions with depth information heading direction neighboring objects, robots can generate reliable path to navigate without collision. To enable smooth functioning...
A smart factory is a fully automated production system enabled with novel digital technologies. Numerous studies consider its emergence as the arrival of new wave innovation. However, research scant on why adoption rate has lagged behind expectations investors and policymakers. Thus, this study examined effect top management support for information systems, existing perceived usefulness factories, outsourcing experiences firms' intention to adopt factories. Using data 1,067 Korean...
Despite the increasing use of emerging operational and information technologies in smart factory transformations, there remains a lack understanding how firms should reshape their transformation strategies to achieve desirable firm performance. This study aims investigate role government support, appropriate level evolution, strategic decision leverage manufacturing systems, such as ERP MES, achieving investigates 511 small medium-sized enterprises (SMEs) fundamental industries dealing with...
Extreme ionospheric anomalies can pose a potential integrity threat to ground‐based augmentation of the Global Positioning System (GPS), and thus development anomaly models for each region operation is essential system design operation. This paper presents methodology automated long‐term monitoring, which will be used build an model, evaluate its validity over life cycle system, continuously monitor anomalies, update model if necessary. procedure automatically processes GPS data collected...
Jellyfish blooms have caused great damage to the fishery industry. In efforts solve this problem, various systems remove jellyfish been proposed. This letter presents preliminary results of applying an image-based distribution recognition algorithm increase efficiency existing removal system. By using a convolutional neural network and dedicated image processing techniques, experimental show reasonable performance for real-world application.
As the number of old bridges increases, with structural defects is also increasing. Timely inspection and maintenance are required because degradation accelerated after bridge damage. Recently, in field health monitoring, a using an unmanned aerial vehicle system (UAS) receiving lot attention. In this paper, UAS-based automatic damage detection condition evaluation were performed on existing bridges. From process preparing for to management data, entire was through tests. The necessary...
In this paper, a novel 3D coverage path planning method, which is efficient and practical for inspection of high-rise structures such as buildings or towers, using an unmanned aerial vehicle (UAV) presented. Our approach basically focuses on developing model-based planner structural with prior map, opposite to non-model based exploration. The proposed method uses volumetric map made before the planning. With whole structure divided into several layers Firstly, in each layer, set normal...
Urban structures need constant maintenance and inspection of the structural health condition safety users, however, to access structure is getting harder due their enormous height size. In order deal with this problem, though many researchers have developed several robots for wall-climbing there no guaranteed solution yet. One critical reasons why existing haven't been available in field risk accidental fall operational failure from harsh environment like strong wind surface's unpredictable...
Information and communication technology (ICT) companies strive for ceaseless innovation to remain competitive while facing the challenge of maximizing firm value (FV) with limited resources, increasing interests shareholders. However, capital structures have a considerable effect on FV, literature still disagrees optimum structure in specific industries countries. Therefore, this study evaluates FV ICT terms profitability efficiency using data envelopment analysis. In addition, applies...
Wind turbines need annual inspections to investigate their states which may have damages, such as cracks, erosion, bonding defects, cavities and delamination. blades inspection, however, is a difficult process needs specialized equipment well-trained technicians perform it manually. In addition, most approaches inspect require pre-installed infrastructures like ropes or other platforms, so they are not appropriate for close investigation has low preference. To overcome these problems, the...
In this paper, we propose a generalized grouping and pruning method for RGB-D SLAM in low-dynamic environments. The conventional methods successfully reject the effect of dynamic objects pose graph optimization (PGO). However, these sometimes fail when high-dynamic are dominant images captured by sensors. Furthermore, once it is determined whether features from included some nodes, corresponding nodes entirely removed even though partially include true constraints, which leads to an...
In this paper, we propose a jellyfish distribution management system using an UAV (unmanned aerial vehicle) and USVs surface vehicle). The was designed to satisfy the requirements for flight in ocean environment. target jellyfish, aurelia aurita, is recognized through convolution neural network its calculated. A high-speed deep architecture has been developed have reliable recognition accuracy fast operation speed. We also method selecting candidates that are inputs proposed network. of...
The response of CsI(Tl) crystals to nuclear recoils and gammas down 3 keV has been studied, it demonstrated that the pulse shape discrimination capability for is better than NaI(Tl). Extensive study internal background CsI powder was performed a lot efforts have made reduce sources such as <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">137</sup> Cs xmlns:xlink="http://www.w3.org/1999/xlink">87</sup> Rb. concentration 2 mBq/kg achieved...