- Microfluidic and Capillary Electrophoresis Applications
- Photonic and Optical Devices
- Electrowetting and Microfluidic Technologies
- Innovative Microfluidic and Catalytic Techniques Innovation
- Neural Networks and Applications
- Microfluidic and Bio-sensing Technologies
- Interconnection Networks and Systems
- Blind Source Separation Techniques
- Infrared Target Detection Methodologies
- Target Tracking and Data Fusion in Sensor Networks
- Hepatocellular Carcinoma Treatment and Prognosis
- Spectroscopy Techniques in Biomedical and Chemical Research
- Radar Systems and Signal Processing
- Tactile and Sensory Interactions
- Radiomics and Machine Learning in Medical Imaging
- Structural Health Monitoring Techniques
- Advanced SAR Imaging Techniques
- Advanced Sensor and Energy Harvesting Materials
- Muscle activation and electromyography studies
- Advanced Biosensing Techniques and Applications
- VLSI and FPGA Design Techniques
- Advanced optical system design
- Vehicular Ad Hoc Networks (VANETs)
- Plasmonic and Surface Plasmon Research
- Yersinia bacterium, plague, ectoparasites research
Sungkyunkwan University
2013-2025
Saudi Aramco (United States)
2019
National NanoFab Center
2006
Pohang University of Science and Technology
2000-2003
Korea Advanced Institute of Science and Technology
2002
Limb Length Discrepancy (LLD) is a common condition that can result in gait abnormalities, pain, and an increased risk of early degenerative osteoarthritis the lower extremities. Epidemiological studies indicate mild LLD, defined as discrepancy 10 mm or less, affects approximately 60–90% population. While more severe cases are less frequent, they associated with secondary conditions such low back scoliosis, hip knee. LLD not only impacts daily activities, but may also lead to long-term...
Sub-5nm all-around gate FinFETs with 3nm fin width were fabricated for the first time. The n-channel FinFET of sub-5nm 1.4nm HfO <sub xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2 </sub> shows an I xmlns:xlink="http://www.w3.org/1999/xlink">Dsat</sub> 497μA/μm at V xmlns:xlink="http://www.w3.org/1999/xlink">G</sub> =V xmlns:xlink="http://www.w3.org/1999/xlink">D</sub> =1.0V. Characteristics transistor are verified by using 3-D simulations as well...
Diagnosing liver steatosis is an essential precaution for detecting hepatocirrhosis and cancer in the early stages. However, automatic diagnosis of from ultrasound (US) images remains challenging due to poor visual quality various origins, such as speckle noise blurring. In this paper, we propose a fully automated prediction model using three deep learning neural networks. As result, can be automatically detected with high accuracy precision. First, transfer used semantically segmenting...
Background/Objectives: Ultrasound (US) imaging plays a crucial role in the early detection and treatment of hepatocellular carcinoma (HCC). However, challenges such as speckle noise, low contrast, diverse lesion morphology hinder its diagnostic accuracy. Methods: To address these issues, we propose CSM-FusionNet, novel framework that integrates clustering, SoftMax-weighted Box Fusion (SM-WBF), padding. Using raw US images from leading hospital, Samsung Medical Center (SMC), applied intensity...
A new identification mechanism is introduced for the purpose of locating objects partially occluded under low peak signal-to-noise ratio (PSNR) environment in two-dimensional grey scale image.The proposed occlusion detection based on utilisation fact that higher PSNR, less impairment image. Most existing methods require a training process before recognition tasks or fail to obtain good results when are PSNR environment. The uses self-adaptively adjusted threshold providing more exact and...
Despite the advancements in diagnosis of early-stage cirrhosis, accuracy using ultrasound is still challenging owing to presence various image artifacts, which results poor visual quality textural and lower-frequency components. In this study, we propose an end-to-end multistep network called CirrhosisNet that includes two transfer-learned convolutional neural networks for semantic segmentation classification tasks. It uses a uniquely designed image, aggregated micropatch (AMP), as input...
Security is a fundamental issue for promising applications in VANET. Designing secure protocol VANET that accommodates efficiency, privacy, and traceability difficult because of the contradictions between these qualities. In this paper, we present yet efficient satisfies security requirements. Although much research has attempted to address similar issues, contend our proposed outperforms other proposals have been advanced. This claim based on observations show such strengths as light...
An optical network-on-chip (NoC) has attracted increasing attention with the advancement of silicon photonics technology due to explosive growth in communication traffic system-on-chip and diminishing returns miniaturized metal interconnect. Compared traditional metallic interconnect, interconnect superior effective bandwidth, transmission latency, power consumption. In this paper, we establish an algorithmic router design framework minimize insertion loss, which is loss signal resulting...
Chemical cell lysis is an interesting topic in the research to Lab-on-a-Disc (LOD) platforms on account of its perfect compatibility with centrifugal spin column format. However, standard procedures followed chemical require sophisticated non-contact temperature control as well use pressure resistant valves. These requirements pose a significant challenge thereby making automation LOD extremely difficult achieve. In this study, capable performing fully automated proposed, where combination...
Polymerase chain reaction (PCR) and the visual inspection of fluorescent amplicons for detection are commonly used procedures in nucleic acid tests. However, it has been extremely challenging to incorporate PCR onto a lab-on-a-disc (PCR–LOD) as involves controlling complicated precise heating steps during thermal cycling measurement reagent temperature. Additionally, non-contact temperature control system without any connecting attachments needs be implemented facilitate rotation PCR–LOD....
Summary We have developed a new picking algorithm based on line detection using conventional edge approach and robust regression method called random sample consensus (RANSAC). Unlike other methods, it uses combination of lines originating from signal attributes first break resulting in excellent continuity between the output picks, even for datasets that low signal-to-noise ratios (SNRs).
Fast and fully automated deoxyribonucleic acid (DNA) amplification methods are of interest in the research on lab-on-a-disc (LOD) platforms because their full compatibility with spin-column mechanism using centrifugal force. However, standard procedures followed DNA require accurate noncontact temperature control as well cell lysis at a low to prevent damage LOD platform. This requirement makes it challenging achieve automation an LOD. In this paper, capable performing single compact disc...
The voltage-frequency island (VFI) design paradigm has strong potential for achieving high energy efficiency in communication centric manycore system-on-chip (SoC) called network-on-chip (NoC). However, because of the diminished scaling wire-dimension and supply voltage as well threshold modern CMOS technology, vulnerability to link failure VFI NoC is becoming a crucial challenge. In this paper, we propose an energy-optimized topology generation technique cope with permanent failures. Based...
When grasping objects with uneven or varying shapes, accurate pressure measurement on robot fingers is critical for precise robotic gripping operations. However, measuring the from sides of fingertips remains challenging owing to poor omnidirectionality sensor. In this study, we propose an omnidirectional sensitive sensor using a cone-shaped magnet slider and Hall embedded in flexible elastomer, which guarantees taking measurements any side fingertip. The experimental results indicate that...
A miniaturized fluorescence detection system based on total internal reflection (TIR) configuration, which is applicable to detecting the presence of biological materials labeled with dye in micro analysis systems (<TEX>${\mu}TAS$</TEX>), proposed. In conventional testing and devices, interference between excitation light beam emitted from dyes unavoidable. This paper presents a TIR configuration that allows be spatially perpendicular each other so as minimize where emission detected at...