A5008126727- Advanced Battery Technologies Research
- Advancements in Battery Materials
- Internet of Things and Social Network Interactions
- Advanced Battery Materials and Technologies
- Reliability and Maintenance Optimization
- Robotics and Sensor-Based Localization
- 3D Surveying and Cultural Heritage
- IPv6, Mobility, Handover, Networks, Security
- Software-Defined Networks and 5G
- Fault Detection and Control Systems
- Conducting polymers and applications
- Advanced Image and Video Retrieval Techniques
- Fluid Dynamics Simulations and Interactions
- Radiative Heat Transfer Studies
- Underwater Vehicles and Communication Systems
Pohang University of Science and Technology
2022-2024
Pusan National University
2017
Today, UAVs are used in various fields such as monitor, search and rescue missions well military. useful fields, but security has always been a major concern. Additionally, UAV carries sensitive information related to people's privacy it causes critical problems if the data is exploited by malicious attackers. There were many attempts solve of there no typical way protect from cyber attacks. In this research, we focus on solution hijacking network channel or physical hardware anonymous...
As lithium-ion batteries age, the lithium inventory and active materials are gradually lost, limiting their lifespan. The stoichiometric range, which refers to operable range of amount in electrode, has been considered a representative comprehensive indicator for predicting aging process. For efficient safe use batteries, cathode anode ranges should be identified as accurately possible. Accordingly, because identification accuracy depends on input signals system operating conditions,...
LiDAR-based place recognition is a key component of localization. However, due to the un-ordered, unstructured, and noisy characteristics point cloud data from LiDAR sensors, there are limitations in using raw for recognition. Therefore, it essential perform conversion processing generate descriptors In this paper, we propose new method generating adopting feature extraction scan context. We attempt improve performance by implementing multi-channel context that combines geometric, semantic...
The diagnosis of a lithium-ion battery is essential to operate the for safety and life extension. electrochemical parameter identification one methodologies battery, which can describe various side reactions occurring in multiple situations such as fast charging. methods based on neural network are conducted overcome high complexity method an model. However, previous adopt networks optimized other fields image processing do not consider operating environments, have low hardware...
Overpotential distribution of lithium ion battery shows the force is applied to over intercalation and deintercalation between active materials electrolyte. This determines irreversible degradation chemical reactions, plating solid electolyte interphase layer growing, occur or not for each interfacial areas. However, calculation requires large memory space, so most industrial management system board cannot fit its requirement. To overcome this limitation, we introduce new analytic steady...