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Digital exchange attributes and the risk of closure

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Blockchain(Research and Applications) 2023年第2期4卷 136-145页

作者： seung Ah Lee George Milunovich Department of Actuarial Studies and Business Analytics Macquarie UniversitySydneyNSW2109Australia

Presently,there are over 500 cryptocurrency exchanges worldwide and more than 19,700 different *** the fact that cryptocurrency trading is possible via private peer-to-peer transactions,more than 90%of trading occurs on organised exchanges,which provide convenience and ***,centralised cryptocurrency exchanges are regarded as high-value targets by criminals and are often victims of *** this paper,we investigate the risk of cryptocurrency exchange closures and develop predictive models to forecast which markets will close down and which ones will remain active using publicly available *** models perform well and reach a high level of classification *** trading volume,the availability of public information on exchange staff,exchange lifetime,and several cybersecurity features are identified as key attributes in predicting exchange ***,our models do not account for all sources of risk,e.g.,potential fraud and mismanagement of client funds committed by the exchanges themselves,and market participants are encouraged to carefully consider where and how they store their digital assets.

关键词： Cryptocurrency markets Digital exchange Closure Classification Predictive models

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

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

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

Post-laparotomy heterotopic ossification of the xiphoid process: A case report

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World Journal of Clinical Cases 2023年第36期11卷 8568-8573页

作者： seung Soo Lee Department of Surgery Kyungpook National University HospitalDaegu 41944South Korea Department of Surgery School of MedicineKyungpook National UniversityDaegu 41944South Korea

BACKGROUND Heterotopic ossification(HO)represents all types of extraskeletal ossification in the *** occurs in various areas,including the skin,subcutaneous tissue,muscle,and *** excision is recommended for symptomatic *** radiotherapy,oral nonsteroidal anti-inflammatory drugs,and topical sealants,such as bone wax,have been recommended as preventive *** HO is rare in occurrence,these recommendations are based on personal experiences,and there is a lack of information on individualized treatments depending on its *** SUMMARY A 62-year-old male was admitted for symptomatic HO along a laparotomy *** excision was performed for an 11 cm-sized ossification originating from the xiphoid process,and bone wax was applied to the excisional ***,the surgical wound failed to *** several weeks of saline-soaked gauze dressing,delayed wound closure was *** patient was finally discharged eight weeks after the *** HO can occur in various areas of the body,a treatment strategy that may be effective for some may not be for *** wax has been used as a topical sealant over excisional margins in the shoulder,elbow,and temporomandibular ***,in our case,its application on an abdominal surgical wound delayed its primary healing *** valuable lesson was that,when choosing a treatment method for HO based on available research data,its location must be *** Complete excision should be the priority treatment option for symptomatic HO along the laparotomy *** wax application is not *** Tip:Heterotopic ossification(HO)represents all types of extraskeletal ossification,and occurs in various areas,including the skin,muscle,and *** are some suggested treatment and preventive approaches for symptomatic HO,which include surgical excision and preventive measures such as postoperative radiotherapy,oral nonsteroidal anti-inflam-matory drug

关键词： Heterotopic ossification Joints Laparotomy Waxes Wound healing Case report

Effect of Co-Deposited Iron on Microstructures and Properties of Electroplated Nanocrystalline Nickel-Iron Alloys

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Journal of Rare Earths 2006年第Z1期24卷 94-99页

作者： myung Hwan Byun Jin Woo Cho Beom Suck Han Young Keun Kim Yo seung Song Department of Materials Engineering Hankuk Aviation University 200-1 Goyang Korea Nano Technology Based Information & Energy Storage Research Center Korea Electronics Technology Institute Bundang-gu Seongnam-Si 463-816 Korea Department of Materials Science and Engineering Korea University Seoul 136-713 Korea Materials and Processing Research Team Korea Automobile Technology Institute Chonan Chungnam 330-912 Korea Department of Materials Science and Engineering Korea University Seoul 136-713 Korea Department of Materials Engineering Hankuk Aviation University 200-1 Goyang Korea

Nickel-iron nanocrystalline alloys with different compositions and grain sizes were fabricated by electroplating for MEMS devices. The iron content of the deposits was changed by varying the nickel/iron ion ratio in the electrolyte. X-ray diffraction (XRD) analysis was applied for measuring the strength of the texture and grain size of the deposits. The nickel/iron atom ratio of the deposits was analyzed by EDS. The hardness of the alloys was evaluated by Vickers hardness indenter. The internal stress of the deposits was measured by thin film stress measurement using Stoney's formula. Surface morphology and roughness were investigated by scanning electron microscopy (SEM) and atomic force microscopy (AFM). Hardness and internal stress mechanism of the electroplated structure as a function of Fe ion content and current density were revealed. With increasing the iron content, the hardness and internal stress of the deposits increase. An excellent correlation between the increase in the internal stress and the loss of (200) texture were found.

关键词： MEMS electroplating nanocrystalline nickel-iron alloy grain size internal stress hardness roughness

Rational design of ultrafine FeSe_(2) nanocrystals emb e dde d within hollow mesoporous carbon bowls for potassium-ion batteries with long-term cycling stability and high volumetric capacity

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Journal of Materials Science & Technology 2023年第12期143卷 129-139页

作者： Yu Jin Jang Hong Geun Oh seung-Keun Park Department of Advanced Materials Engineering Chung-Ang University4726Seodong-daeroDaedeok-myeonAnseong-siGyeonggi-do 17546Republic of Korea

Hollow structures are commonly used to alleviate the mechanical stress on electrode materials and to provide more active sites in potassium-ion batteries(KIBs).Nevertheless,the excessive internal voids within these structures significantly reduce the packing density of particles,resulting in a relatively low volumetric energy density of the fabricated electrodes,which is undesirable for practical *** designed a hollow mesoporous carbon bowl embedded with ultrafine bis(selanylidene)iron(FeSe 2)nanocrystals(FeSe 2@HMCB)via a controllable impregnation method and subsequent selenization pro-cess for high-performance *** as-obtained FeSe 2@HMCB can inherit the advantages of conventional hollow carbon-based composites,such as alleviation of volume variation in active materials,abundant ion storage sites,and high electrical ***,the bowl structure has a higher pack-ing density than the conventional hollow structure,resulting in a significant increase in the volumet-ric energy density of the fabricated *** of these advantages,the FeSe 2@HMCB exhibits a high,stable reversible capacity of 326 mA h g^(-1) even after 1000 cycles at 0.5 A g^(-1),and excellent rate capacities(182 mA h g^(-1) at 3.0 A g^(-1)).Compared with the hollow structured counterpart,the vol-umetric capacity(mA h cm−3)of FeSe 2@HMCB increased by 60%.Furthermore,a full cell consisting of FeSe 2@HMCB//Prussian blue(PB)exhibits excellent electrochemical performance(99 mA h g^(-1) after 100 cycles at 0.1 A g^(-1)).

关键词： Potassium-ion batteries Iron selenide Bowl-like structure Mesoporous carbon Anode material

玻璃制作工具用5%ZrO_2纳米铂材的机械合金化制备(英文)

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Transactions of Nonferrous Metals Society of China 2014年第S1期24卷 99-105页

作者： taek-Kyun JUNG Dong-Woo JOH seung-Yub LEE myung-Sik CHOI Soong-Keun HYUN Hyo-Soo LEE Korea Institute of Industrial Technology 7-47 Songdo-dong Yenosu-gu Incheon 406-840 Korea Department of Applied Physics and Applied Mathematics Columbia University School of Materials Science and Engineering Inha University 253 Yonghyun-Dong Incheon 405-751 Korea

对机械合金化制备的玻璃工业中用作结构零件的Pt-5%ZrO2(体积分数)的进行表征。通过锆丝电爆炸法制备氧化锆(ZrO2)纳米颗粒(粒径<100 nm),并在室温下与铂粉(粒径<44?m)球磨2~72 h。普通球磨至48 h时,铂粒径遵循经典的递减趋势,至72 h时... 详细信息

对机械合金化制备的玻璃工业中用作结构零件的Pt-5%ZrO2(体积分数)的进行表征。通过锆丝电爆炸法制备氧化锆(ZrO2)纳米颗粒(粒径<100 nm),并在室温下与铂粉(粒径<44?m)球磨2~72 h。普通球磨至48 h时,铂粒径遵循经典的递减趋势,至72 h时观测到颗粒团聚现象。晶粒尺寸演变规律与颗粒尺寸规律相似,48 h后减至50 nm左右。但是,铂晶粒的均方根应变规律相反,一直在增长,直至48 h时得到最大值,然后出现弛豫。粉末球磨48 h后,采用放电等离子体烧结制成块体。根据测量得到烧结体的质量损失表明:合金虽然相对密度较低,但有较好的热稳定性。

关键词：铂氧化锆纳米粒子电丝爆炸法机械合金化

NIR-Ⅱ thiopyrylium dyads guided photodynamic inactivation of coronavirus

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Science China Chemistry 2023年第7期66卷 1877-1878页

作者： Yunjie Xu Changyu Yoon Jong seung Kim Department of Chemistry Korea UniversitySeoul 02841Korea

COVID-19,a highly contagious respiratory infection caused by the SARS-Co V-2 virus,was first identified in December 2019 and has rapidly expanded to become a global pandemic[1].From then on,millions of people were infected,while the exact number of infections is difficult to determine,as not all people who are infected with the virus get tested,and some may not show any symptoms,and the number is rising as the pandemic *** sickness is characterized by fever,cough.

关键词： respiratory infected infection