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A case of hypermature cataract formation following implantation of an implantable collamer lens with an Aquaport

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International Journal of Ophthalmology(English edition) 2017年第6期10卷 1014-1015页

作者： Kyu-yeon hwang Sung A.Lim So-Hyang chung Department of Ophthalmology Konyang University Kim＇s Eye Hospital Seoul 07301 Korea Nune Eye Hospital Daegu 42019 Korea Department of Ophthalmology and visual science Seoul St. Mary＇s Hospital College of Medicine the Catholic University of Korea Seoul 06591 Korea

To improve humor circulation the latest V4c Visian implantable collamer lens （ICL） was designed with a0.36-ram Aquapon. This design also eliminates the need to perform peripheral iridectomy before ICL implantation. Several authors reported rates of secondary surgical intervention related to insufficient vault in the presence or absence of cataract formation and excessive vault in the presence or absence of elevated intraocular pressure （IOP） after ICL insertion. Here, we report a case of rapid progression of a cataract to a hypermature state after implantation of an ICL with an Aquaport.

关键词： ICL A case of hypermature cataract formation following implantation of an implantable collamer lens with an Aquaport case

Experimental Investigation of Aerodynamic Performance due to Blade Tip Clearance in a Gas Turbine Rotor Cascade

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Journal of Thermal Science 2022年第1期31卷 173-178页

作者： chung Jinmoo BAEK Seungchan hwang Wontae Department of Mechanical Engineering Seoul National UniversitySeoul 08826Republic of Korea Institute of Advanced Machines and Design Seoul National UniversitySeoul 08826Republic of Korea Institute of Engineering Research Seoul National UniversitySeoul 08826Republic of Korea

This study examines how the complex flow structure within a gas turbine rotor affects aerodynamic loss. An unshrouded linear turbine cascade was built, and velocity and pressure fields were measured using a 5-hole probe. In order to elucidate the effect of tip clearance, the overall aerodynamic loss was evaluated by varying the tip clearance and examining the total pressure field for each case. The tip clearance was varied from 0% to 4.2% of blade span and the chord length based Reynolds number was fixed at 2×10^(5). For the case without tip clearance, a wake downstream of the blade trailing edge is observed, along with hub and tip passage vortices. These flow structures result in profile loss at the center of the blade span, and passage vortex related losses towards the hub and tip. As the tip clearance increases, a tip leakage vortex is formed, and it becomes stronger and eventually alters the tip passage vortex. Because of the interference of the secondary tip leakage flow with the main flow, the streamwise velocity decreases while the total pressure loss increases significantly by tenfold in the last 30% blade span region towards the tip for the 4.2% tip clearance case. It was additionally observed that the overall aerodynamic loss increases linearly with tip clearance.

关键词： gas turbine turbine cascade aerodynamic loss tip clearance tip leakage

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A Deep Learning Hierarchical Ensemble for Remote Sensing Image Classification

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Computers, Materials & Continua 2022年第8期72卷 2649-2663页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Artificial intelligence,which has recently emerged with the rapid development of information technology,is drawing attention as a tool for solving various problems demanded by society and *** particular,convolutional neural networks(CNNs),a type of deep learning technology,are highlighted in computer vision fields,such as image classification and recognition and object *** these CNN models requires a large amount of data,and a lack of data can lead to performance degradation problems due to *** CNN architecture development and optimization studies become active,ensemble techniques have emerged to perform image classification by combining features extracted from multiple CNN *** this study,data augmentation and contour image extraction were performed to overcome the data shortage *** addition,we propose a hierarchical ensemble technique to achieve high image classification accuracy,even if trained from a small amount of ***,we trained the UCMerced land use dataset and the contour images for each image on pretrained VGGNet,GoogLeNet,ResNet,DenseNet,and *** then apply a hierarchical ensemble technique to the number of cases in which each model can be *** experiments were performed in cases where the proportion of training datasets was 30%,50%,and 70%,resulting in a performance improvement of up to 4.68%compared to the average accuracy of the entire model.

关键词： Image classification deep learning CNNs hierarchical ensemble UC-Merced land use dataset contour image

Data Augmentation Using Contour Image for Convolutional Neural Network

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Computers, Materials & Continua 2023年第6期75卷 4669-4680页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14058Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14058Korea

With the development of artificial intelligence-related technologies such as deep learning,various organizations,including the government,are making various efforts to generate and manage big data for use in artificial ***,it is difficult to acquire big data due to various social problems and restrictions such as personal information *** are many problems in introducing technology in fields that do not have enough training data necessary to apply deep learning ***,this study proposes a mixed contour data augmentation technique,which is a data augmentation technique using contour images,to solve a problem caused by a lack of ***,a famous convolutional neural network(CNN)architecture,and CIFAR-10,a benchmark data set,are used for experimental performance evaluation to prove the superiority of the proposed *** to prove that high performance improvement can be achieved even with a small training dataset,the ratio of the training dataset was divided into 70%,50%,and 30%for comparative *** a result of applying the mixed contour data augmentation technique,it was possible to achieve a classification accuracy improvement of up to 4.64%and high accuracy even with a small amount of data *** addition,it is expected that the mixed contour data augmentation technique can be applied in various fields by proving the excellence of the proposed data augmentation technique using benchmark datasets.

关键词： Data augmentation image classification deep learning convolutional neural network mixed contour image benchmark dataset

Exosomes as promising frontier approaches in future cancer therapy

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World Journal of Gastrointestinal Oncology 2025年第1期17卷 28-33页

作者： Fatt-Yang Chew Chin-Hung Tsai Kuang-Hsi Chang Yu-Kang Chang Ruey-hwang Chou Yi-Jui Liu Department of Medical Imaging China Medical University HospitalTaichung 404TaiwanChina Department of Radiology School of MedicineChina Medical UniversityTaichung 404TaiwanChina Department of Cancer Center Tungs’Taichung MetroHarbor HospitalTaichung 435TaiwanChina Department of Chest Medicine Tungs’Taichung MetroHarbor HospitalTaichung 435TaiwanChina Department of Post-Baccalaureate Medicine College of MedicineNational Chung Hsing UniversityTaichung 402TaiwanChina Department of Medical Research Tungs’Taichung MetroHarbor HospitalTaichung 435TaiwanChina Center for General Education China Medical UniversityTaichung 404TaiwanChina General Education Center Jen-Teh Junior College of MedicineNursing and ManagementMiaoli 356TaiwanChina Department of Nursing Jen-Teh Junior College of MedicineNursing and ManagementMiaoli 356TaiwanChina Graduate Institute of Biomedical Sciences China Medical UniversityTaichung 404TaiwanChina Center for Molecular Medicine China Medical University HospitalTaichung 404TaiwanChina Department of Medical Laboratory and Biotechnology Asia UniversityTaichung 413TaiwanChina Department of Automatic Control Engineering Feng Chia UniversityTaichung 407TaiwanChina

In this editorial,we will discuss the article by Tang et al published in the recent issue of the World Journal of Gastrointestinal *** explored an innovative approach to enhancing gemcitabine(GEM)delivery and efficacy using human bone marrow mesenchymal stem cells(HU-BMSCs)-derived *** manufacture of GEM-loaded HU-BMSCs-derived exosomes(Exo-GEM)has been *** Tang et al’s study demonstrated that Exo-GEM exhibits enhanced cytotoxicity and apoptosis-inducing effects compared to free GEM,highlighting the potential of exosome-based drug delivery systems as a more effective and targeted approach to chemotherapy in pancreatic *** in vivo studies are required to confirm the safety and effectiveness of Exo-GEM before it can be considered for clinical use.

关键词： Mesenchymal stem cells Exosomes Gemcitabine Pancreatic cancer Apoptosis

A Universal Activation Function for Deep Learning

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Computers, Materials & Continua 2023年第5期75卷 3553-3569页

作者： Seung-yeon hwang Jeong-Joon Kim Department of Computer Engineering Anyang UniversityAnyang-si14028Korea Department of ICT Convergence Engineering Anyang UniversityAnyang-si14028Korea

Recently,deep learning has achieved remarkable results in fields that require human cognitive ability,learning ability,and reasoning *** functions are very important because they provide the ability of artificial neural networks to learn complex patterns through *** activation functions are being studied to solve problems such as vanishing gradients and dying nodes that may occur in the deep learning ***,it takes a lot of time and effort for researchers to use the existing activation function in their ***,in this paper,we propose a universal activation function(UA)so that researchers can easily create and apply various activation functions and improve the performance of neural *** can generate new types of activation functions as well as functions like traditional activation functions by properly adjusting three *** famous Convolutional Neural Network(CNN)and benchmark datasetwere used to evaluate the experimental performance of the UA proposed in this *** compared the performance of the artificial neural network to which the traditional activation function is applied and the artificial neural network to which theUA is *** addition,we evaluated the performance of the new activation function generated by adjusting the hyperparameters of *** experimental performance evaluation results showed that the classification performance of CNNs improved by up to 5%through the UA,although most of them showed similar performance to the traditional activation function.

关键词： Deep learning activation function convolutional neural network benchmark datasets universal activation function

Teleportation of three-dimensional single particle state in noninertial frames

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Chinese Physics B 2014年第2期23卷 74-79页

作者：吴奇成文晶姬计新 yeon Kyu-hwang Department of Physics College of ScienceYanbian University Department of Physics College of Natural ScienceChungbuk National University

Considering the spin degree of freedom of the Dirac field, we study the entanglement behavior of a different class of communication channel and teleportation of three-dimensional single particle state in noninertial frames. Numerical analysis shows that the communication channel in our scheme can offer enough distillable entanglement for the teleportation protocol. Moreover, the teleportation protocol could work well if Rob＇s acceleration is not very big, but the fidelity of the teleportation is still reduced due to the Unruh effect.

关键词： three-dimensional entangled states noninertial frames teleportation Unruh effect

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Efficient nonlinear companding scheme for substantial reduction in peak-to-average power ratio of OFDM

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Journal of Systems Engineering and Electronics 2015年第5期26卷 924-931页

作者： Kasun Bandara Atul Sewaiwar yeon-Ho chung Department of Information and Communications Engineering Pukyong National University

Orthogonal frequency division multiplexing(OFDM)produces a high peak-to-average power ratio(PAPR) that adversely affects high-speed OFDM data transmission. In order to reduce the high PAPR, an efficient nonlinear companding transform(NCT) function is proposed. With the proposed NCT function,the compression and expansion weights can be applied independently with suitably chosen function parameter values. As a result, the proposed function can easily maintain the average signal power approximately unchanged during the companding *** this regard, the proposed function is superior to previously proposed schemes. Also, the simulations show the outstanding PAPR reduction performance of the proposed function. It is demonstrated that the proposed scheme performs well with nonlinear transmitter amplifiers and delivers superior error performance, compared with error function and exponential function based schemes.

关键词： companding orthogonal frequency division multiplexing(OFDM) peak-to-average power ratio(PAPR)

Implementation of unambiguous comparison for unknown pure quantum states with cavity-assisted interaction

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Chinese Physics B 2013年第5期22卷 136-140页

作者：程留永王洪福张寿 yeon Kyu-hwang Center for the Condensed-Matter Science and Technology Department of PhysicsHarbin Institute of Technology Department of Physics College of ScienceYanbian University BK21 Program Physics & Department of Physics College of Natural ScienceChungbuk National University

We propose two effective schemes for local and remote unknown atomic state comparisons with a cavity-assisted single photon input--output process without any initial entanglement or auxiliary resource. The unambiguous state discrim- ination is considered using the state comparison process as the basic module. All the implementation schemes here just involve common quantum logic gates and the single qubit measurement. The analysis shows that our schemes are feasible under the current experimental conditions.

关键词： unambiguous state comparison atomic qubit cavity-assisted interaction

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