A5046253875- Advanced Vision and Imaging
- Robotics and Sensor-Based Localization
- Image and Signal Denoising Methods
- Video Coding and Compression Technologies
- Advanced Image and Video Retrieval Techniques
- Advanced Data Compression Techniques
- Advanced Measurement and Detection Methods
- Advanced Steganography and Watermarking Techniques
- AI in cancer detection
- Advanced Optical Sensing Technologies
- Optical Wireless Communication Technologies
- Advanced Neural Network Applications
- Medical Image Segmentation Techniques
- Image Enhancement Techniques
- Image and Object Detection Techniques
- Nanomaterials and Printing Technologies
- Mathematical Control Systems and Analysis
- Visual Attention and Saliency Detection
- Conducting polymers and applications
- Network Packet Processing and Optimization
- Dendrimers and Hyperbranched Polymers
- Gene Regulatory Network Analysis
- Generative Adversarial Networks and Image Synthesis
- Augmented Reality Applications
- Domain Adaptation and Few-Shot Learning
Seoul National University of Science and Technology
2010-2024
Kyungpook National University
2024
Electronics and Telecommunications Research Institute
2012-2022
SK Group (South Korea)
2014
Broadcom (Israel)
2010
National University of Technology
2010
Jeonbuk National University
2003-2007
Increasing demand for higher-bandwidth DRAM drive TSV technology development. With the capacity of fine-pitch wide I/O [1], can be directly integrated on interposer or host chip and communicate with memory controller. However, there are many limitations, such as reliability testability, in developing technology. It is advantageous to adopt a logic-interface between stacked-DRAM thousands TSV. The logic interface base level high-bandwidth (HBM) decreases C <inf...
Transparent conductive electrodes (TCEs) are essential components in the development of various transparent devices. In this study, a Ag micro-mesh network was investigated as an indium-free, non-rigid TCE for applications...
In order to the immense demand for development of energy-storage systems, layer-optimized graphene and chemically modified poly(3,4-ethylenedioxythiophene):poly(styrenesulfonate) (PEDOT:PSS) were utilized as electrode electrochemical material, respectively, fabricate a device that exhibited electrochromic supercapacitive functions. The properties with compared those similar ITO electrode, remarkable synergetic effect was observed in former, likely owing strong π-π interactions between...
Processing-in-Memory (PIM) is an emerging computing architecture that has gained significant attention in recent times. It aims to maximize data movement efficiency by moving away from the traditional von Neumann architecture. PIM particularly well-suited for handling deep neural networks (DNNs) require between processing unit and memory device. As a result, there been substantial research this area. To optimally handle DNNs with diverse structures inductive biases, such as convolutional...
A quad-band 2.5G SoC integrates all the RF, DSP, ARM, audio and other baseband processing functions into a single 65nm CMOS die. The radio draws battery current of 49mA in RX-mode, 86mA GMSK TX-mode. low-IF receiver achieves sensitivity -110dBm at antenna, corresponding to noise figure 2.4dB device input. 8PSK ±400kHz modulation mask is -64.1/62.7dBc for high/low bands, with an RMS EVM 2.45/1.95%.
In recent years, deep learning technologies have been actively used in various applications. particular, networks trained using reinforcement (RL) are widely exploited for auxiliary tasks multimedia frameworks, including image restoration, compression, and computer vision. Discrete wavelet transform (DWT) set partitioning hierarchical trees (SPIHT) the representative lightweight compression methods that most purposes of frame memory LCD overdrive. precedent research, order to improve...
In the paper, we proposed a ring type structured light image based embedded ranging sensor for mobile robot. Since obtains omnidirectional object distance, it is useful autonomous navigation of By matching local distance map with given global map, possible to get position and heading angle robot in coordinates. Experiments were carried out verify performance sensor.
In this paper, a ranging system is proposed that able to measure 360 degree omnidirectional distances environment objects. The based on the structured light imaging with catadioptric mirror. order make robust against environmental illumination, efficient image processing algorithms are developed; sequential integration of difference images modulated and radial search Bresenham line drawing algorithm. A dedicated FPGA processor developed speed up overall processing. Also distance equation...
Recently, in deep learning research, the importance of domain generalization (DG) for unseen domains has been emphasized. Most baseline methodologies this focus on generating adversarial representations or separating content and style information from intermediate features learning. However, these approaches inevitably increase time complexity both training inference. In study, we propose an approach to improve DG performance without excessive bottleneck points. We suggest auxiliary network...
It is well-known that optical transparence and electric resistance have a trade-off relationship in transparent electrodes. For this reason, developing methods to predict relation been important various fields of academic research as well for industrial applications. Herein, we suggest simple method which reveals the between using MATLAB, based on geometric characteristics random metal network. Ag metal-mesh electrodes were fabricated with conditions colloidal silica cracked-templates Radio...
In this paper, we proposed an omnidirectional ranging system that is able to obtain <TEX>$360^{\circ}$</TEX> all directional distances effectively based on structured light image. The consists of laser source and a catadioptric camera with curved mirror. integro-differential image processing algorithm makes the robust against environmental illumination condition. useful for map-building self-localization mobile robot.
Recently, there is a growing demand for deep learning framework with robust generalization performance in real-world domains, such as an autonomous driving environment. The existing domain methodologies convolutional neural networks have been designed to actively utilize the feature map generative model or normalization techniques distinguish domain-specific information. However, augmented images are essential measuring style sensitivity. This study shows that information can be extracted...
Abstract Frame memory compression (FMC) saves power by reducing the data bandwidth for accessing reference frames of video coding standards in external memory. However, since continuously accumulated loss degrades performance standards, quality reconstructed frame must be improved. Previous lossy methods focused on processing speed or simplicity, but their remains limited terms frame. In this study, a Huffman with fixed codebook designed to considerably reduce latency caused arithmetic...
In this paper, we proposed a search method for structured light pixels of omnidirectional image. Since the image is composed several circular arc segments, algorithm searches in radial direction rather than horizontal or vertical directions. The based on well-known Bresenham raster line drawing discrete integer space, thereby computation very efficient. Comparison results between and conventional are presented experiments.