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Convolutional Neural Network-Based Regression for Predicting the Chloride Ion Diffusion Coefficient of Concrete

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Computers, Materials & Continua 2022年第3期70卷 5059-5071页

作者： hyun kyu shin Ha Young Kim Sang Hyo Lee Architectural Engineering Hanyang University ERICAAnsan15588Korea Graduate School of Information Yonsei UniversitySeoul03722Korea Division of Smart Convergence Engineering Hanyang University ERICAAnsan15588Korea

The durability performance of reinforced concrete(RC)building structures is significantly affected by the corrosion of the steel reinforcement due to chloride penetration,thus,the chloride ion diffusion coefficient should be investigated through experiments or theoretical equations to assess the durability of an RC *** study aims to predict the chloride ion diffusion coefficient of concrete,a heterogeneous material.A convolutional neural network(CNN)-based regression model that learns the condition of the concrete surface through deep learning,is developed to efficiently obtain the chloride ion diffusion *** the model implementation to determine the chloride ion diffusion coefficient,concrete mixes with w/c ratios of 0.33,0.40,0.46,0.50,0.62,and 0.68,are cured for 28 days;subsequently,the surface image data of the specimens are ***,the proposed model predicts the chloride ion diffusion coefficient using the concrete surface image data and exhibits an error of approximately 1.5E−12 m^(2)/*** results suggest the applicability of proposed model to the field of facility maintenance for estimating the chloride ion diffusion coefficient of concrete using images.

关键词： Chloride ion diffusion coefficient convolutional neural network deep learning

Digital Vision Based Concrete Compressive Strength Evaluating Model Using Deep Convolutional Neural Network

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Computers, Materials & Continua 2019年第9期61卷 911-928页

作者： hyun kyu shin Yong Han Ahn Sang Hyo Lee Ha Young Kim Architectural Engineering Hanyang UniversityERICAAnsan-si15588Korea School of Architecture and Architectural Engineering Hanyang UniversityERICAAnsan-si15588Korea Division of Architecture and Civil Engineering Kangwon National UniversitySamcheok-si25913Korea Graduate School of Information Yonsei UniversitySeoul-si03722Korea.

Compressive strength of concrete is a significant factor to assess building structure health and ***,various methods have been developed to evaluate the compressive strength of concrete ***,previous methods have several challenges in costly,time-consuming,and *** address these drawbacks,this paper proposed a digital vision based concrete compressive strength evaluating model using deep convolutional neural network(DCNN).The proposed model presented an alternative approach to evaluating the concrete strength and contributed to improving efficiency and *** model was developed with 4,000 digital images and 61,996 images extracted from video recordings collected from concrete *** experimental results indicated a root mean square error(RMSE)value of 3.56(MPa),demonstrating a strong feasibility that the proposed model can be utilized to predict the concrete strength with digital images of their surfaces and advantages to overcome the previous *** experiment contributed to provide the basis that could be extended to future research with image analysis technique and artificial neural network in the diagnosis of concrete building structures.

关键词： Concrete compressive strength deep learning deep convolutional neural network image-based evaluation building maintenance and management

Plasma skincare device based on floating electrode dielectric barrier discharge

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Plasma Science and Technology 2019年第12期21卷 33-39页

作者： kyu-Hang LEE Sichan KIM hyun JO Byung-Koo SON Myung-Sun shin Guangsup CHO Department of Electrical and Biological Physics Kwangwoon University20 Kwangwoon-RoNowon-GuSeoul 01897Republic of Korea Division of Plasma Convergence R&BD Cheorwon Plasma Research InstituteCheorwon 24047Republic of Korea

A portable skincare plasma-device with a rechargeable battery is presented here. The device comprises two pads made of thin polyimide film as the dielectric layer, namely, the dielectric barrier discharge pad(DBD-pad) for skin-touch and a capacitive ground-pad(G-pad) for hand holding. High AC voltage of approximately 1 kV with frequency of 40 kHz is induced in the DBD-pad that contacts the skin, which serves as the floating electrode, while low voltage is induced on the G-pad. Considering the requirement for impedance matching between the DBDpad capacitance and the inverter along with the need for low skin current less than approximately 5 mA for electrical safety, the electrode area of the DBD-pad is minimized to be smaller than that of the G-pad.

关键词： plasma discharge atmospheric pressure nonthermal plasma skincare device

Three-dimensional label-free morphology of CD8+T cells as a sepsis biomarker

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Light(Science & Applications) 2023年第12期12卷 2565-2576页

作者： MinDong Sung Jong hyun Kim hyun-Seok Min Sooyoung Jang JaeSeong Hong Bo kyu Choi JuHye shin kyung Soo Chung Yu Rang Park Division of Pulmonary and Critical Care Medicine Department of Internal MedicineYonsei University College of MedicineSeoulRepublic of Korea Department of Biomedical Systems Informatics Yonsei University College of MedicineSeoulRepublic of Korea Tomocube Inc155 Sinseong-roShinsung-dongYuseong-guDaejeonRepublic of Korea

Sepsis is a dysregulated immune response to infection that leads to organ dysfunction and is associated with a high incidence and mortality *** lack of reliable biomarkers for diagnosing and prognosis of sepsis is a major challenge in its *** aimed to investigate the potential of three-dimensional label-free CD8+T cell morphology as a biomarker for *** study included three-time points in the sepsis recovery cohort(N=8)and healthy controls(N=20).Morphological features and spatial distribution within cells were compared among the patients'*** developed a deep learning model to predict the diagnosis and prognosis of sepsis using the internal cell *** between the morphological features and clinical indices were *** morphological features and spatial distribution differed significantly between patients with sepsis and healthy controls and between the survival and non-survival *** model for predicting the diagnosis and prognosis of sepsis showed an area under the receiver operating characteristic curve of nearly 100%with only a few cells,and a strong correlation between the morphological features and clinical indices was *** study highlights the potential of three-dimensional label-free CD8+T cell morphology as a promising biomarker for *** approach is rapid,requires a minimum amount of blood samples,and has the potential to provide valuable information for the early diagnosis and prognosis of sepsis.

关键词： sepsis diagnosis Morphological

Defect-Detection Model for Underground Parking Lots Using Image Object-Detection Method

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Computers, Materials & Continua 2021年第3期66卷 2493-2507页

作者： hyun kyu shin Si Woon Lee Goo Pyo Hong Lee Sael Sang Hyo Lee Ha Young Kim Architectural Engineering Hanyang UniversityERICAAnsan15588Korea Department of Artificial Intelligence Ajou UniversitySuwon16499Korea Division of Architecture and Civil Engineering Kangwon National UniversitySamcheok25913Korea Division of Smart Convergence Engineering Hanyang UniversityERICAAnsan15588Korea Graduate School of Information Yonsei UniversitySeoul03722Korea

The demand for defect diagnoses is gradually gaining ground owing to the growing necessity to implement safe inspection methods to ensure the durability and quality of ***,conventional manpower-based inspection methods not only incur considerable cost and time,but also cause frequent disputes regarding defects owing to poor ***,the demand for an effective and efficient defect-diagnosis model for concrete structures is imminent,as the reduction in maintenance costs is significant from a long-term ***,this paper proposes a deep learning-based image objectidentification method to detect the defects of paint peeling,leakage peeling,and leakage traces that mostly occur in underground parking lots made of concrete *** deep learning-based object-detection method can replace conventional visual inspection methods.A faster region-based convolutional neural network(R-CNN)model was used with a training dataset of 6,281 images that utilized a region proposal network to objectively localize the regions of interest and detect the surface *** defects were classified according to their type,and the learning of each exclusive model was ensured through test sets obtained from real underground parking *** a result,average precision scores of 37.76%,36.42%,and 61.29%were obtained for paint peeling,leakage peeling,and leakage trace defects,***,this study verified the performance of the faster RCNN-based defect-detection algorithm along with its applicability to underground parking lots.

关键词： Faster R-CNN deep learning defect detection concrete structures

Effect of CaF2 content in refining slag on formation behavior of spinel inclusion in Ni-Cr-V-alloyed special steel

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Journal of Iron and Steel Research International 2018年第2期25卷 157-163页

作者： Jae-hong shin Joo-hyun Park Department of Materials Engineering Hanyang UniversityAnsan 426-791 Korea

The influence of CaF2 content on the formation behavior of spinel inclusions in the Ni-Cr-V-alloyed special steel was presented. The spinel was not formed at CaF2 content lower than 10 wt%. However, it was formed at early stage when the CaF2 content was greater than 30 wt%, followed by a modification to the aluminosilicate-type inclusions. Because the slag was saturated by MgO, the activity of MgO was unity irrespective of CaF2 content in the slag. Thus, Mg was transferred from slag to metal phase. Mg transferred to molten steel reacted with Al2O3-rich inclusions to form ***2O3 spinel. However, the spinel inclusion was modified to aluminosilicate-type inclusions by the reaction with Si and Ca transferred from slag to molten steel about 2-3 h later.

关键词： Spinel inclusion Refining slag CaF2 content Ni-Cr-V-alloyed special steel

Spin Self-Assembled Clay Nanocomposite Passivation Layers Made from a Photocrosslinkable Poly（vinyl alcohol） and Na^-Montmorillonite Enhance the Environmental Stability of Organic Thin-Film Transistors

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Chinese Journal of Chemistry 2016年第11期34卷 1103-1108页

作者： Hayoung Jeon Seonuk Park Sooji Nam Kwonwoo shin Sung-Ryong Kim Se hyun Kim Jaeyoung Jang Tae kyu An POSTECH Organic Electronics Laboratory Polymer Research Institute Department of Chemical Engineering Pohang University of Science and Technology Pohang 790-784 Republic of Korea Smart I/O Control Device Research Section Electronics and Telecommunications Research Institute Daejeon 305- 700 Republic of Korea Nano Materials & Components Research Center Korea Electronics Technology Institute (KET1) Seongsam-si Gyeonggi-do 13509 Republic of Korea Department of Polymer Science & Engineering Korea National University of Transportation 50 Daekak-Ro Chungju 27469 Republic of Korea School of Chemical Engineering Yeungnam University 280 Daehak-Ro Gyeongsan Gyeongbuk 38541 Republic of Korea Department of Energy Engineering Hanyang University Seoul 133-791 Republic of Korea

We investigated the effects of the multilayer polymer-clay nanohybrid passivation films on the stability of pentacene organic thin-film transistors （OTFTs） exposed to air and UV irradiation. Well-ordered multilayer films were deposited by the spin-assisted layer-by-layer assembly method using photocrosslinkable poly（vinyl alcohol） with the N-methyl-4（4＇-formylstyryl）pyridinium methosulfate acetal group （SbQ-PVA） and Na＋-montmorillonite in a water-based solution process. When photocrosslinked, these SbQ-PVA/clay multilayers were found to serve as excellent barriers to 02 and UV-light. Moreover, when used as passivation layers, they enhanced the stability of pen- tacene OTFT devices exposed to air and UV radiation.

关键词： polymer-clay passivation layer-by-layer montmorillonite long-term stability

Enhancing the total organic carbon measurement efficiency for water samples containing suspended solids using alkaline and ultrasonic pretreatment methods

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Journal of Environmental Sciences 2020年第4期32卷 20-28页

作者： Han-Saem Lee Jin Hur hyun-Sang shin Department of Environment Energy Engineering Seoul National University of Science&TechnologySeoul01811South Korea Department of Environment&Energy Sejong UniversitySeoul05006South Korea

In this study,we investigated the effect of sample pretreatments(ultrasonication and alkaline extraction)on total organic carbon(TOC)measurements for water samples containing suspended solids(SS)of four different origins(algae,soil,sewage sludge,and leaf litter)to more clearly assess the impact of particulate organic carbon(POC)in *** effects each of ultrasonication(power,pulse,etc.)and alkaline extraction condition(concentration,time,etc.)on the TOC recovery and precision were investigated,and the results were compared with those of a new sample pre treatment method combining both *** treatment(0.01 mol/L NaOH)showed higher precision than ultrasonication(100/5 on/off pulse),and notably,the differences among the measured TOC values in samples of different origins were also further reduced in the alkaline *** suggests that the ultrasonic pretreatment results can be mainly attributed to the increase in POC recovery through particle size reduction,whereas the alkaline treatment results are achieved through the enhancement of POC *** is also particularly noteworthy that a higher TOC recovery of 87.6%±7.4%with a higher precision of 8.4%could be obtained using the combined method,compared to each treatment(ultrasonic:TOC recovery 34.7%,relative standard deviation 63.1%;alkaline:49.6%and 23.0%,respectively).Thus,simultaneous pretreatment with ultrasonication and alkaline extraction is expected to increase the oxidation rate of organic matter and the homogeneity of the samples,minimizing the loss of POC measurement values,and thereby improving the reliability of the TOC measurements of water samples containing SS.

关键词： Total organic carbon Suspended solids Pretreatment Ultrasonication Alkaline extraction

Helicobacter pylori eradication with moxifloxacin-containing therapy following failed first-line therapies in South korea

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World Journal of Gastroenterology 2014年第22期20卷 6932-6938页

作者： kyu Keun Kang Dong Ho Lee Dong hyun Oh Hyuk Yoon Cheol Min shin Young Soo Park Nayoung Kim hyun Chae Jung Department of Internal Medicine Seoul National University Bundang HospitalSeongnamGyeongi-do 463-707South Korea Department of Internal Medicine Seoul National University College of MedicineSeoul 100-744South Korea

AIM: To investigate moxifloxacin-containing triple therapy as second-line treatment for Helicobacter pylori (H. pylori) infection following failed first-line treatment.

关键词： Fluoroquinolones Helicobacter pylori Disease eradication Drug resistance Second-line