A5101900789- Mechanical Engineering and Vibrations Research
- Gear and Bearing Dynamics Analysis
- Soil Mechanics and Vehicle Dynamics
- Tribology and Lubrication Engineering
- Engineering Applied Research
- Cloud Computing and Resource Management
- Fire Detection and Safety Systems
- Caching and Content Delivery
- Distributed and Parallel Computing Systems
- Quantum-Dot Cellular Automata
- Advanced machining processes and optimization
- Robotic Path Planning Algorithms
- Image Processing and 3D Reconstruction
- Livestock Farming and Management
- Solar Radiation and Photovoltaics
- Nanowire Synthesis and Applications
- Insect behavior and control techniques
- Effects of Vibration on Health
- Quantum Information and Cryptography
- Carcinogens and Genotoxicity Assessment
- Fire effects on ecosystems
- IoT-based Smart Home Systems
- Autonomous Vehicle Technology and Safety
- Crafts, Textile, and Design
- Photonic and Optical Devices
Korea Institute of Industrial Technology
2024
Korea University
2024
Seoul National University
2012-2024
Pohang University of Science and Technology
2020-2022
Korea Electric Power Corporation (South Korea)
2021
Incheon National University
2020
Korea Institute of Science & Technology Information
2016
Yonsei University
2009
When designing helical gears, the goal is to optimize gear weight, efficiency, and noise while simultaneously achieving required strength. In this study, macro geometry of a pair was optimized for low high noise; further, trends optimal solutions five combinations three objectives were analyzed. The mass efficiency directly used as design objectives. However, since calculation generally very complicated time-consuming, has not been objective, peak-to-peak static transmission error (PPSTE),...
Recent carbon neutrality policies have led to active research in the agricultural tractor sector replace internal combustion engines, making it imperative minimize power losses improve efficiency. Dual-clutch transmissions (DCTs) been employed tractors primarily due their short shift time and smooth feel. However, DCTs a relatively large number of components complex structures owing spatial constraints, challenging predict losses. Therefore, DCT losses, this study defined oil churning by...
The interpretation of radiation dose is an important procedure for both radiological operators and persons who are exposed to background or artificial radiations. Dicentric chromosome assay (DCA) one the representative methods estimation that discriminates aberration in chromosomes modified by radiation. Despite DCA-based automated proposed previous studies, there still limitations accuracy estimation. In this study, a system using deep learning proposed. comprised three stages. first stage,...
Saving data center energy consumption is a hot issue for the environment and economy. CPU biggest consuming component in server, it has various saving technologies, such as C-state P-state. Advances multi-core processors virtualization technologies have enabled many workloads to be consolidated physical efficiency can degraded due contention shared resources. We observed that improved further by adjusting frequency according degree of resources, most energy-efficient quite different each...
In gear design, performance metrics such as safety factors for tooth root stress and surface durability, peak-to-peak static transmission error (PPSTE), efficiency, mass, volume are considered. They calculated by the geometric parameters of macro- micro-geometry, manufacturing errors related to geometry significantly affect performance. However, previous studies have only focused on micro-geometry errors. this study, Monte Carlo-type robustness analysis was performed considering thickness,...
Highlights A method for weight reduction of the tractor's structure through topology optimization was presented. dynamic model an electric tractor developed to predict working duration various agricultural works. The increase in due predicted. predicting appropriate battery proposed. Abstract. Recently, demand tractors has grown substantially efforts achieve carbon neutrality. To successfully introduce into market, ensuring sufficient on a single charge is crucial. Increasing capacity one...
In this paper, a finite-element model of slim optical disk drive is developed to investigate the transient response sled base and disk. The simplified by using beam, shell lumped parameter elements, in order decrease computational time. After dynamic characteristics have been verified modal test, shock obtained compared with results drop test. Finally, are modified improve performance.
Loaded tooth contact analysis (LTCA) adopted to obtain the static transmission error for gear optimization affects significantly computation time and results. This paper is study an efficient process of macro geometry helical pairs with LTCA. An analytical LTCA model was proposed verified measured error. To find method, divided into three types (based on whether slice stiffness extended were included) by adjusting fidelity. When included in LTCA, increased very short, but accuracy results...
This paper proposes a home intrusion detection system that makes the best use of retired smartphone and an existing Wi-Fi access point. On-board sensors in mounted on entrance door records signals upon unwanted opening. The point is reconfigured to serve as server thus it can process sensor data detect unauthorized by intruder. Recycling devices enables owner build own security with no cost well helps our society deal millions waste computing resources already-deployed IT devices. In order...
Loaded tooth contact analysis (LTCA) adopted to obtain the static transmission error for gear optimization affects significantly computation time and results. This paper is study an efficient process of macro geometry helical pairs with LTCA. An analytical LTCA model was proposed verified measured error. To find method, divided into three types (based on whether slice stiffness extended were included). In results, when included in LTCA, increased very short, but fidelity results improved...
일반적으로 산불진화용 무인기는 사람의 원격 조종에 의해 운영되고 있으나, 산불의 특성상 다수 지점의 화재진압 및 통신이 원활하지 않는 산림환경에서는 활용이 어렵다. 이에 무인기를 이용하여 산불진압 임무를 수행하기 위해서는 진화지점의 자동 예측을 통한 무인기 완전 자동화가 필요하다. 본 연구에서는 딥러닝 기술 중 하나인 Semantic Segmentation 기술을 소화탄 투화지점 예측 알고리즘을 제안하였다. 제안된 방법을 통하여 기계학습에 사용되지 않은 독립 데이터를 화재 지점 국지화 투하지점의 추천 평가를 수행하였으며, 90% 이상의 정확도로 투하 필요 지점을 예측하였다. 연구에서 개발된 방법은 향후 이용한 자동화를 위해 활용될 수 있을 것으로 기대된다.
Abstract The analysis of optimal locations for photovoltaic systems within urban regions has been raised as an important issue increasing the relative efficiency solar power generation in landscapes. This paper suggests a method that includes 3D modeling through unmanned aerial vehicle (UAV) flight strategies, shadow generation, radiation estimation, and evaluation areas to estimate cost‐effective candidate installing panels. For testing proposed method, combining generated shadows with...
Cloud computing has become widely used to provide many services such as analyzing and streaming data increase scalability minimize up-front IT infrastructure costs. However, make the best use of cloud infrastructures in terms performance cost, efficient virtual machine (VM) management is required. In this paper, we propose a VM scheduling framework for automatic cost-effective VMs services. The controls manages life-cycle status multiple platform automatically. We implement based on google...
Computational science simulations have been used to enable discovery in a broad spectrum of application areas, these show irregular demanding characteristics computing resources from time time. The adoption virtualized high performance cloud, rather than CPU-centric platform (such as supercomputers), is gaining interest interests mainly due its ease-of-use, multi-tenancy and flexibility. Basically, provisioning virtual cluster, which consists lot machines, real-time has critical impact on...