Yunho Kim

In this work we wish to recover an unknown image from a blurry, or noisy-blurry version. We solve this inverse problem by energyminimization and regularization. We seek a solution of the form $u + v$,where $u$ is a function of bounded variation (cartoon component), while $v$ isan oscillatory component (texture), modeled by a Sobolev function withnegative degree of differentiability. We give several results of existence and characterization of minimizers of the proposed optimization problem.Exper

Despite all the expectations for photoacoustic endoscopy (PAE), there are still several technical issues that must be resolved before the technique can be successfully translated into clinics. Among these, electromagnetic interference (EMI) noise, in addition to the limited signal-to-noise ratio (SNR), have hindered the rapid development of related technologies. Unlike endoscopic ultrasound, in which the SNR can be increased by simply applying a higher pulsing voltage, there is a fundamental lim

Airway inflammation has been implicated in evoking progressive pulmonary disorders including chronic obstructive pulmonary disease (COPD) and asthma as a result of exposure to inhaled irritants, characterized by airway fibrosis, mucus hypersecretion, and loss of alveolar integrity. The current study examined whether oleuropein, a phenylethanoid found in olive leaves, inhibited pulmonary inflammation in experimental models of interleukin (IL)-4-exposed bronchial BEAS-2B epithelial cells and ovalb

This study examines the interplay of air connectivity, sports events, infrastructures, and fiscal support during the period 2017 and 2022 in a designated area called Special Economic Zone in Mandalika, Lombok Island, West Nusa Tenggara to boost tourism development in Indonesia by utilizing big data cognitive analytics. We examine the tourism development impacted by the MotoGP event in 2022 and air connectivity. Further, this paper discusses the network connectivity of flights at Zainuddin Abdul

6600 Background: Available systemic therapies for CTCL produce significant response rates and may relieve skin symptoms or complications, but there is a lack of well-tolerated systemic therapies with reliable and durable responses in patients with recurrent or advanced disease. A new class of chemically defined CpG immunomodulators target dendritic cell TLR9 receptors with induction of IL-12, IFN-gamma, and NK cell function. In several early trials, CPG 7909 has been well tolerated by weekly s.c

In this work, we wish to denoise HARDI (High Angular Resolution Diffusion Imaging) data arising in medical brain imaging. Diffusion imaging is a relatively new and powerful method to measure the three-dimensional profile of water diffusion at each point in the brain. These images can be used to reconstruct fiber directions and pathways in the living brain, providing detailed maps of fiber integrity and connectivity. HARDI data is a powerful new extension of diffusion imaging, which goes beyond t

6600 Background: Available systemic therapies for CTCL produce significant response rates and may relieve skin symptoms or complications, but there is a lack of well-tolerated systemic therapies with reliable and durable responses in patients with recurrent or advanced disease. A new class of chemically defined CpG immunomodulators target dendritic cell TLR9 receptors with induction of IL-12, IFN-gamma, and NK cell function. In several early trials, CPG 7909 has been well tolerated by weekly s.c

Intensity nonuniformity in magnetic resonance (MR) images, represented by a smooth and slowly varying function, is a typical artifact that is a nuisance for many image processing methods. To eliminate the artifact, we have to estimate the nonuniformity as a smooth and slowly varying function and factor it out from the given data. We reformulate the problem as a problem of finding a unique smooth function in a particular set of piecewise smooth functions and propose a variational method for findi

This paper presents a method for designing fixed-size systolic arrays represented by the form of uniform recurrence equation. The method consists mainly of two phases: (ⅰ) partitioning a full-size systolic array based on the LPGS approach, and (ⅱ) scheduling initial input data for the fixed-size systolic array. The partitioning is done along the ray of the basis vectors of Array Partition Space (APS) defined in this paper. The result is to reduce the number of bands and the total execution time.

While network-based techniques have shown outstanding performance in image denoising in the big data regime requiring massive datasets and expensive computation, mathematical understanding of their working principles is very limited. Not to mention, their relevance to traditional mathematical approaches has not attracted much attention. Therefore, we suggest how reservoir computing networks can be strengthened in combination with conventional partial differential equation (PDE) methods for image