Hyunjun Cho

ORCID: 0000-0002-1080-9394
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About
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Research Areas
  • Educational Research and Pedagogy
  • Educational Systems and Policies
  • Education, Safety, and Science Studies
  • Education and Learning Interventions
  • Advanced Image and Video Retrieval Techniques
  • Graphene and Nanomaterials Applications
  • Metal-Organic Frameworks: Synthesis and Applications
  • Teleoperation and Haptic Systems
  • Surface Modification and Superhydrophobicity
  • Video Analysis and Summarization
  • Multimedia Communication and Technology
  • Advanced Neural Network Applications
  • Advanced MEMS and NEMS Technologies
  • Ferroelectric and Negative Capacitance Devices
  • Distributed Control Multi-Agent Systems
  • Artificial Intelligence in Healthcare
  • Generative Adversarial Networks and Image Synthesis
  • Robotic Path Planning Algorithms
  • Structural Response to Dynamic Loads
  • Gaze Tracking and Assistive Technology
  • Technology and Data Analysis
  • Mechanical Behavior of Composites
  • Nanofabrication and Lithography Techniques
  • Pharmacy and Medical Practices
  • Microbial Community Ecology and Physiology

Korea Advanced Institute of Science and Technology
2024

Korea University
2022-2024

Dongguk University
2021-2023

Seoul National University
2013-2017

Hanwha Solutions (South Korea)
2017

Polysiloxanes (PSs) have been widely utilized in the industry as lubricants, varnishes, paints, release agents, adhesives, and insulators. In addition, their applications expanded to include development of new biomedical materials. To modify PS for application therapeutic purposes, a flexible antibacterial Cu-MOF (metal-organic framework) consisting glutarate 1,2-bis(4-pyridyl)ethane ligands was embedded via hydrosilylation reaction vinyl-terminated H-terminated PSs at 25 °C. The...

10.3390/nano11030719 article EN cc-by Nanomaterials 2021-03-12

Transformer-based approaches have shown good results in image captioning tasks. However, current a limitation generating text from global features of an entire image. Therefore, we propose novel methods for better as follows: (1) The Global-Local Visual Extractor (GLVE) to capture both and local features. (2) Cross Encoder-Decoder Transformer (CEDT) injecting multiple-level encoder into the decoding process. GLVE extracts not only visual that can be obtained image, such size organ or bone...

10.3390/s22041429 article EN cc-by Sensors 2022-02-13

We propose a novel semi-autonomous teleoperation control framework for two nonholonomic wheeled mobile robots, which are cooperatively grasping and transporting deformable object without any physical grip-enforcing fixture teleoperated by single remote human user via first-person view camera attached on the over-seeing robot with some visuo-haptic feedback. First, we apply passive decomposition to split kinematics of robots into grasping/first-person view-centering behavior...

10.1177/0278364917707583 article EN The International Journal of Robotics Research 2017-05-08

10.5139/ijass.2015.16.2.190 article EN International Journal of Aeronautical and Space Sciences 2015-06-30

Text generation is a compelling sub-field of natural language processing, aiming to generate human-readable text from input words. In particular, the decoder-only generative models, such as pre-trained transformer (GPT), are widely used for generation, with two major computational stages: summarization and generation. Unlike stage, which can process tokens in parallel, stage difficult accelerate due its sequential output through iteration. Moreover, each iteration requires reading whole...

10.48550/arxiv.2401.17005 preprint EN arXiv (Cornell University) 2024-01-30

The rising incidence of kidney cancer underscores the need for precise and reproducible diagnostic methods. In particular, renal cell carcinoma (RCC), most prevalent type cancer, requires accurate nuclear grading better prognostic prediction. Recent advances in deep learning have facilitated end-to-end methods using contextual features histopathological images. However, existing focus only on image-level or lack an effective process aggregating nuclei prediction results, limiting their...

10.1109/jbhi.2024.3487004 article EN IEEE Journal of Biomedical and Health Informatics 2024-01-01

10.1109/icce-asia63397.2024.10773757 article EN 2022 IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia) 2024-11-03

Due to the significant power consumption of emissive display panels and limited battery capacity electronic devices, it is necessary implement power-constrained operations for video content. One effective techniques contrast enhancement (PCCE), which aims reduce demands while maintaining quality However, PCCE has been mainly studied in image domain. In this letter, we explore how can be applied domain by revisiting proportional-integral-derivative (PID) control. The proposed method consists...

10.1109/lsp.2023.3348388 article EN IEEE Signal Processing Letters 2023-12-29

We present experimental results on semi-autonomous control of unmanned ground vehicles (UGVs), which makes it possible for multiple robots to follow teleoperated command and maintain the formation them with collision avoidance at same time. The implemented are presented theoretical preliminaries, we use three Tri-Roller Observing Tracers (TROTs) in our implementation. It is omni-directional mobile robot has natural-born agility.

10.1109/iccas.2013.6703915 article EN 2013-10-01

Abstract Background: In this study, we aimed to develop and validate a novel mRNA-based immunological biomarker panel for the early detection of resectable pancreatic cancer (RPC). Methods: Blood samples clinical information cohort 297 individuals (102 patients with PC 195 non-disease controls) were obtained between 2015 2020. mRNA levels candidate biomarkers identified through an extensive literature review in buffy coat measured using quantitative polymerase chain reaction. The final was...

10.21203/rs.3.rs-2658368/v1 preprint EN cc-by Research Square (Research Square) 2023-04-18
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