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Ternary layered double hydroxide oxygen evolution reaction electrocatalyst for anion exchange membrane alkaline seawater electrolysis

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Journal of Energy Chemistry 2022年第12期75卷 127-134,I0004页

作者： Yoo Sei Park Jae-Yeop jeong Myeong Je Jang chae-yeon Kwon Geul Han Kim Jaehoon jeong Ji-hoon Lee Jooyoung Lee Sung Mook Choi Department of Hydrogen Energy Materials Surface&Nano Materials DivisionKorea Institute of Materials Science(KIMS)Changwon 51508Republic of Korea Department of Advanced Material Engineering Chungbuk National University1 Chungdae-roSeowon-guCheongjuChungbuk 28644Republic of Korea Department of Chemical Engineering University of WaterlooWaterlooOntario N2L 3G1 Canada School of Materials Science and Engineering Gyeongsang National UniversityJinju 52828Republic of Korea Department of Materials Science and Engineering Pusan National UniversityBusan 46241Republic of Korea Energy Industry Support Center Daegu Mechatronics&Materials InstituteDaegu 42704Republic of Korea Advanced Materials Engineering University of Science and Technology(UST)Yuseong-guDaejeon 34113Republic of Korea

Anion exchange membrane(AEM)water electrolyzers are promising energy devices for the production of clean hydrogen from ***,the lack of active and robust electrocatalysts for the oxygen evolution reaction(OER)severely impedes the development of this *** this study,a ternary layered double hydroxide(LDH)OER electrocatalyst(NiFeCo-LDH)is developed for high-performance AEM alkaline seawater *** AEM alkaline seawater electrolyzer catalyzed by the NiFeCo LDH shows high seawater electrolysis performance(0.84 A/cm^(2)at 1.7 Vcell)and high hydrogen production efficiency(77.6%at 0.5 A/cm^(2)),thus outperforming an electrolyzer catalyzed by a benchmark IrO_(2)*** NiFeCo-LDH electrocatalyst greatly improves the kinetics of the AEM alkaline seawater electrolyzer,consequently reducing its activation loss and leading to high *** on the results,this NiFeCo-LDH-catalyzed AEM alkaline seawater electrolyzer can likely surpass the energy conversion targets of the US Department of Energy.

关键词： Anion exchange membranes water electrolysis Oxygen evolution reactions Alkaline seawater electrolysis Hydrogen production

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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

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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

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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

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Time-Aware PolarisX: Auto-Growing Knowledge Graph

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Computers, Materials & Continua 2021年第6期67卷 2695-2708页

作者： yeon-Sun Ahn Ok-Ran jeong Department of Software Gachon UniversityGyeonggi-do13120Korea

A knowledge graph is a structured graph in which data obtained from multiple sources are standardized to acquire and integrate human *** is being actively conducted to cover a wide variety of knowledge,as it can be applied to applications that help ***,existing researches are constructing knowledge graphs without the time information that knowledge *** stored without time information becomes outdated over time,and in the future,the possibility of knowledge being false or meaningful changes is *** a result,they can’t reect information that changes dynamically,and they can’t accept information that has newly *** solve this problem,this paper proposes Time-Aware PolarisX,an automatically extended knowledge graph including time *** PolarisX constructed a BERT model with a relation extractor and an ensemble NER model including a time tag with an entity extractor to extract knowledge consisting of subject,relation,and object from unstructured *** two application experiments,it shows that the proposed system overcomes the limitations of existing systems that do not consider time information when applied to an application such as a ***,we verify that the accuracy of the extraction model is improved through a comparative experiment with the existing model.

关键词： Machine learning natural language processing knowledge graph time-aware information extraction

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Salinity intrusion characteristics analysis using EFDC model in the downstream of Geum River

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Journal of Environmental Sciences 2010年第6期22卷 934-939页

作者： Sangman jeong Kyusung yeon Youngteck Hur Kukryul Oh Department of Civil and Environmental Engineering Kongju National University Water Resource Operation Center

As social interest in the environmental conservation and ecological restoration has recently increased, more research works have been done to resolve problems concerning environmental management of estuaries. In this study, a three-dimensional numerical model, Environmental Fluid Dynamics Code （EFDC） was used in the analysis of the salinity intrusion characteristics in the downstream of Geum River. The numerical simulation was performed to investigate the influence range for salinity intrusion when the gates were fully opened. The conditions used for simulation were the four flow regimes in Geum River Basin, Korea. Results indicated that the ranges of salinity intrusion from the barrage were 50.72 km （drought flow）, 48.87 km （low flow）, 46.56 km （normal flow） and 42.10 km （flood flow）. These results indicated that the EFDC model used for numerical simulation has high accuracy. The result concluded in this study can be used as a basis in understanding the extent of salinity intrusion effects at different flow rates.

关键词： Environmental Fluid Dynamics Code salinity intrusion barrage

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Thrombolytic activity of cheonggukjang kinase in recovery from brain damage in a rat cerebral embolic stroke model

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Neural Regeneration Research 2010年第24期5卷 1875-1882页

作者： Angella M Anthony Jalin chae Kwan Lee chae yeon Lee A Reum Kang Chung Mu Park Jae Ho Cha jeong Hwan Kim Soo Woong Lee Young Sun Song Jong Tae Lee Sung Goo Kang School of Biological Sciences First Research GroupInje University Institute of Environmental and Occupational Medicine & Department of Occupational and Environmental Medicine Pusan Paik HospitalInje University Department of Smart Foods & Drugs Inje University Department of Microbiology Pusan National University Division of Applied Life Science Gyeongsang National University Advanced Research Center for Multiple Myeloma Department of MicrobiologyBio-Marker Research Center for Personalized TherapyCollege of MedicineInje University

Cheonggukjang is a soybean paste made by fermenting whole cooked soybeans with Bacillus subtilis. Cheonggukjang contains a fibrinolytic enzyme that could provide clinical applications for removing blood clots. In the present study, the term ＂cheonggukjang kinase＂（CGK） was used to refer to this fibrinolytic enzyme. The thrombolytic effects of CGK were analyzed in a rat model of cerebral embolic stroke produced by middle cerebral artery occlusion （MCAO）. Results from fibrin and platelet-rich clot lysis assays demonstrated that thrombolytic activity was greatest in CGKs, which were cultured for 40 hours. In addition, T50, the time needed to decompose 50% of the clot, did not change with plasminogen treatment, indicating that CGK was not a plasminogen activator, but was rather presumed to act as a plasmin-like protein. An intravenous infusion of CGK （1 U plasmin-like activity/100 μg CGK/kg） at 1 hour after MCAO resulted in removal of clots in a rat model of cerebral embolic stroke. CGK-treated groups exhibited a significant dose-dependent reduction in infarct volume. CGK treatment also improved functional recovery, as assessed by neurological deficit scores. Decreased infarct volume and improved functional recovery following CGK treatment was greater compared with recombinant tissue plasminogen activator （10 mg/kg）. These results suggested that CGK effectively reduced infarct volume and improved functional recovery following ischemic brain injury. CGK exhibits a number of potential clinical applications ir the treatment of cerebral embolic stroke.

关键词： brain damage cheonggukjang kinase fibrin clot lysis assay middle cerebral artery occlusion platelet rich clot lysis assay thrombolytic activity

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Quantum Systems Connected by a Time-Dependent Canonical Transformation

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Communications in Theoretical Physics 2009年第9期52卷 416-420页

作者： Kyu Hwang yeon jeong Ryeol Choi ZHANG Shou BK21 Physics Program and Department of Physics College of Natural Science Chungbuk National University Cheongju Chungbuk 361-763 Korea School of Electrical Engineering and Computer Science Kyungpook National University 1370 Sankyuk-dong Buk-gu Daegu 702-701 Korea Center for the Condensed-Matter Science and Technology Harbin Institute of Technology Harbin 150001 China Department of Physics College of Science Yanbinn University Yanji 133002 China

We study both classical and quantum relation between two Hamiltonian systems which are mutually connected by time-dependent canonical transformation. One is ordinary conservative system and the other is timedependent Hamiltonian system. The quantum unitary operator relevant to classical canonical transformation between the two systems are obtained through rigorous evaluation. With the aid of the unitary operator, we have derived quantum states of the time-dependent Hamiltonian system through transforming the quantum states of the conservative system. The invariant operators of the two systems are presented and the relation between them are addressed. We showed that there exist numerous Hamiltonians, which gives the same classical equation of motion. Though it is impossible to distinguish the systems described by these Hamiltonians within the realm of classical mechanics, they can be distinguishable quantum mechanically.

关键词： canonical transformation innumerable kind of Hamiltonians canonical quantization invariant operator unitary transformation

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Application of Integrated Database to the Casting Design

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Journal of Materials Science & Technology 2008年第3期24卷 351-355页

作者： In-Sung Cho Seung-Mok Yoo chae-Ho Lim jeong-Kil Choi KITECH 7-47 Songdo-dongYeonsu-gu

Construction of integrated database including casting shapes with their casting design, technical knowledge, and thermophysical properties of the casting alloys were introduced in the present study. Recognition tech- nique for casting design by industrial computer tomography was used for the construction of shape database. Technical knowledge of the casting processes such as ferrous and non-ferrous alloys and their manufacturing process of the castings were accumulated and the search engine for the knowledge was developed. Database of thermophysical properties of the casting alloys were obtained via the experimental study, and the properties were used for the in-house computer simulation of casting process. The databases were linked with intelligent casting expert system developed in center for e-design, KITECH. It is expected that the databases can help non casting experts to devise the casting and its process. Various examples of the application by using the databases were shown in the present study.

关键词： Integrated database Casting design Shape recognition

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Effects of Momentum Ratio and Weber Number on Spray Half Angles of Liquid Controlled Pintle Injector

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Journal of Thermal Science 2015年第1期24卷 37-43页

作者： Min Son Kijeong Yu Jaye Koo Oh chae Kwon jeong Soo Kim Korea Aerospace University School of Aerospace and Mechanical Engineering Korea Aerospace University School of Mechanical Engineering Sungkyunkwan University Department of Mechanical Engineering Pukyong National University

A pintle injector is advantageous for throttling a liquid rocket engine and reducing engine weight. This study ex- plores the effects of momentum ratio and Weber number at various injection conditions on spray characteristics of the pintle injector for liquid-gas propellants. A liquid sheet is injected from a center pintle nozzle and it is broken by a gas jet from an annular gap. The pressure drops of propellants, and the pintle opening distance were consi- dered as control variables; using 0.1 -1.0 as a bar for the pressure drop of the liquid injection, a 0.01-4）.2 bar for the pressure drop of gas jet and a 0.2 - 1.0 mm for the pintle opening distance. The discharge coefficient was de- creased linearly before the pintle opening distance of 0.75 mm and then, the coefficient was slightly increased. Spray images were captured by a CMOS camera with high resolution. Then, the shadow and reflected images were analyzed. Spray distributions were measured by a pattemator with an axial distance of 50 mm from a pintle tip. Finally, the spray half angles had an exponentially decreasing correlation as a momentum ratio divided by the Weber number. Also, the spray half angles from the spray distribution were underestimated compared to those measured from the captured images.

关键词： Pintle Injector Spray Half Angle Spray Distribution Visualization

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