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A Study on Cascade R-CNN-Based Dangerous Goods Detection Using X-Ray Image

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Computers, Materials & Continua 2022年第11期73卷 4245-4260页

作者： sang-hyun lee Department of Computer Engineering Honam UniversityGwangsanguGwangju 62399Korea

X-ray inspection equipment is divided into small baggage inspection equipment and large cargo inspection *** the case of inspection using X-ray scanning equipment,it is possible to identify the contents of goods,unauthorized transport,or hidden goods in real-time by-passing cargo through X-rays without opening *** this paper,we propose a system for detecting dangerous objects in X-ray images using the Cascade Region-based Convolutional Neural Network(Cascade R-CNN)model,and the data used for learning consists of dangerous goods,storage media,firearms,and *** addition,to minimize the overfitting problem caused by the lack of data to be used for artificial intelligence(AI)training,data samples are increased by using the CP(copy-paste)algorithm on the existing *** also solves the data labeling problem by mixing supervised and semi-supervised *** four comparative models to be used in this study are Faster Regionbased Convolutional Neural Networks Residual2 Network-101(Faster R-CNN_Res2Net-101)supervised learning,Cascade R-CNN_Res2Net-101_supervised learning,Cascade Region-based Convolutional Neural Networks Composite Backbone Network V2(CBNetV2)Network-101(Cascade R-CNN_CBNetV2Net-101)_supervised learning,and Cascade RCNN_CBNetV2-101_semi-supervised learning which are then compared and *** a result of comparing the performance of the four models in this paper,in case of Cascade R-CNN_CBNetV2-101_semi-supervised learning,Average Precision(AP)(Intersection over Union(IoU)=0.5):0.7%,AP(IoU=0.75):1.0%than supervised learning,Recall:0.8%higher.

关键词： Cascade R-CNN model faster R-CNN model X-ray screening equipment Res2Net supervised learning semi-supervised learning

A Study on Small Pest Detection Based on a CascadeR-CNN-Swin Model

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Computers, Materials & Continua 2022年第9期72卷 6155-6165页

作者： Man-Ting Li sang-hyun lee Department of Computer Engineering Honam UniversityGwangsanguGwangju62399Korea

This study aims to detect and prevent greening disease in citrus trees using a deep neural *** process of collecting data on citrus greening disease is very difficult because the vector pests are too *** this paper,since the amount of data collected for deep learning is insufficient,we intend to use the efficient feature extraction function of the neural network based on the Transformer *** want to use the Cascade Region-based Convolutional Neural Networks(Cascade R-CNN)Swin model,which is a mixture of the transformer model and Cascade R-CNN model to detect greening disease occurring in *** this paper,we try to improve model safety by establishing a linear relationship between samples using Mixup and Cutmix algorithms,which are image processing-based data augmentation *** addition,by using the ImageNet dataset,transfer learning,and stochastic weight averaging(SWA)methods,more accuracy can be *** study compared the Faster Region-based Convolutional Neural Networks Residual Network101(Faster R-CNN ResNet101)model,Cascade Regionbased Convolutional Neural Networks Residual Network101(Cascade RCNN-ResNet101)model,and Cascade R-CNN Swin *** a result,the Faster R-CNN ResNet101 model came out as Average Precision(AP)(Intersection over Union(IoU)=0.5):88.2%,AP(IoU=0.75):62.8%,Recall:68.2%,and the Cascade R-CNN ResNet101 model was AP(IoU=0.5):91.5%,AP(IoU=0.75):67.2%,Recall:73.1%.Alternatively,the Cascade R-CNN Swin Model showed AP(IoU=0.5):94.9%,AP(IoU=0.75):79.8%and Recall:76.5%.Thus,the Cascade R-CNN Swin Model showed the best results for detecting citrus greening disease.

关键词： Cascade R-CNN swin model cascade R-CNN resNet101 model faster R-CNN ResNet101 model mixup cutmix

Estimation of Turbulent Sensible Heat and Momentum Fluxes over a Heterogeneous Urban Area Using a Large Aperture Scintillometer

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Advances in Atmospheric Sciences 2015年第8期32卷 1092-1105页

作者： sang-hyun lee Jun-Ho lee Bo-Young KIM Department of Atmospheric Science Kongju National University Department of Optical Engineering Kongju National University

The accurate determination of surface-layer turbulent fluxes over urban areas is critical to understanding urban boundary layer （UBL） evolution. In this study, a remote-sensing technique using a large aperture scintillometer （LAS） was investigated to estimate surface-layer turbulent fluxes over a highly heterogeneous urban area. The LAS system, with an optical path length of 2.1 km, was deployed in an urban area characterized by a complicated land-use mix （residential houses, water body, bare ground, etc.）. The turbulent sensible heat （QH） and momentum fluxes （z） were estimated from the scintillation measurements obtained from the LAS system during the cold season. Three-dimensional LAS footprint modeling was introduced to identify the source areas （＂footprint＂） of the estimated turbulent fluxes. The analysis results showed that the LAS-derived turbulent fluxes for the highly heterogeneous urban area revealed reasonable temporal variation during daytime on clear days, in comparison to the land-surface process-resolving numerical modeling. A series of sensitivity tests indicated that the overall uncertainty in the LAS-derived daytime QH was within 20%-30% in terms of the influence of input parameters and the non- dimensional similarity function for the temperature structure function parameter, while the estimation errors in z were less sensitive to the factors of influence, except aerodynamic roughness length. The 3D LAS footprint modeling characterized the source areas of the LAS-derived turbulent fluxes in the heterogeneous urban area, revealing that the representative spatial scales of the LAS system deployed with the 2.1 km optical path distance ranged from 0.2 to 2 km2 （a ＂micro-a scale＂）, depending on local meteorological conditions.

关键词： heterogeneous surface large aperture scintillometer mesoscale modeling surface energy balance turbulentexchange

Association of low muscle strength with metabolic dysfunctionassociated fatty liver disease:A nationwide study

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World Journal of Gastroenterology 2023年第45期29卷 5962-5973页

作者： Gyu Bae lee Youn Huh sang hyun lee Byoungduck Han Yang-hyun Kim Do-Hoon Kim Seon Mee Kim Youn Seon Choi Kyung Hwan Cho Ga Eun Nam Department of Family Medicine Korea University College of MedicineSeoul 02841South Korea Department of Family Medicine Uijeongbu Eulji Medical CenterEULJI UniversityDaejeon 11759South Korea School of Electrical Engineering Korea UniversitySeoul 02841South Korea

BACKGROUND There is limited evidence regarding the association between muscle strength and metabolic dysfunction-associated fatty liver disease(MAFLD).AIM To investigate the association between muscle strength and MAFLD in the general population in *** This nationwide representative cross-sectional study included 31649 individuals aged≥19 years who participated in the Korea National Health and Nutrition Examination Survey between 2015 and *** ratios(ORs)and 95%confidence intervals(95%CIs)for MAFLD according to sex-specific quartiles of muscle strength,defined by relative handgrip strength,were calculated using multivariable logistic regression ***,multivariable logistic regression analysis was used to assess the association between muscle strength and probable liver fibrosis in patients with *** Of all the participants,29.3%had *** prevalence of MAFLD was significantly higher in the lower muscle strength quartile groups for all participants,sexes,and age groups(P<0.001).A 1.92-fold(OR=1.92,95%CI:1.70–2.16)and 3.12-fold(OR=3.12,95%CI:2.64–3.69)higher risk of MAFLD was observed in the lowest quartile(Q1)group than in the other groups(Q2–Q4)and the highest quartile(Q4)group,*** ORs of MAFLD were significantly increased in the lower muscle strength quartile groups in a dose-dependent manner(P for trend<0.001).These associations persisted in both *** inverse association between muscle strength and the risk of MAFLD was observed in all subgroups according to age,obesity,and diabetes *** patients with MAFLD,the odds of severe liver fibrosis were higher in Q1(OR=1.83,95%CI:1.25–2.69)than in other groups(Q2–Q4).CONCLUSION Among Korean adults,low muscle strength was associated with an increased risk of MAFLD and liver fibrosis in patients with MAFLD.

关键词： Muscle strength Handgrip strength Metabolic dysfunction-associated fatty liver disease Liver fibrosis Korea National Health and Nutrition Examination Survey

The Security Situation in Northeast Asia and its Prospect

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Peace 2018年第3期 36-37页

作者： sang hyun lee the Sejong Institute ROK

1. Evaluating the U.S.-DPRK Singapore Summit Finally, U.S. President Donald Trump and North Korea’s Chairman Kim Jong-un met for a historic summit on June 12 in Singapore. The summit was indeed a ‘historic’ in the ... 详细信息

关键词： Security Northeast Asia Prospect

Dual-logic-in-memory implementation with orthogonal polarization of van der Waals ferroelectric heterostructure

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InfoMat 2024年第2期6卷 107-117页

作者： Jingjie Niu Sumin Jeon Donggyu Kim Sungpyo Baek hyun Ho Yoo Jie Li Ji-sang Park Yoonmyung lee Sungjoo lee SKKU Advanced Institute of Nanotechnology(SAINT) Sungkyunkwan UniversitySuwonRepublic of Korea Department of Nano Science and Technology Sungkyunkwan UniversitySuwonRepublic of Korea Department of Electrical and Computer Engineering Sungkyunkwan UniversitySuwonRepublic of Korea IMEC HeverleeBelgium Department of Nano Engineering Sungkyunkwan UniversitySuwonRepublic of Korea

The rapid advancement of AI-enabled applications has resulted in an increasing need for energy-efficient computing ***-in-memory is a promising approach for processing the data stored in memory,wherein fast and efficient computations are possible owing to the parallel execution of reconfigurable logic *** this study,a dual-logic-in-memory device,which can simultaneously perform two logic operations in four states,is demonstrated using van der Waals ferroelectric field-effect transistors(vdW FeFETs).The proposed dual-logic-in-memory device,which also acts as a twobit storage device,is a single bidirectional polarization-integrated ferroelectric field-effect transistor(BPI-FeFET).It is fabricated by integrating an in-plane vdW ferroelectric semiconductor SnS and an out-of-plane vdW ferroelectric gate dielectric material—CuInP_(2)S_(6).Four reliable resistance states with excellent endurance and retention characteristics were *** two-bit storage mechanism in a BPI-FeFET was analyzed from two perspectives:carrier density and carrier injection controls,which originated from the out-of-plane polarization of the gate dielectric and in-plane polarization of the semiconductor,*** conventional multilevel FeFETs,the proposed BPIFeFET does not require additional pre-examination or erasing steps to switch from/to an intermediate polarization,enabling direct switching between the four memory *** utilize the fabricated BPI-FeFET as a dual-logic-inmemory device,two logical operations were selected(XOR and AND),and their parallel execution was *** types of logic operations could be implemented by selecting different initial states,demonstrating various types of functions required for numerous neural network *** flexibility and efficiency of the proposed dual-logic-in-memory device appear promising in the realization of next-generation low-power computing systems.

关键词： ferroelectric field-effect transistor in-plane ferroelectricity logic-in-memory out-of-plane ferroelectricity

Small but big leaps towards neuroglycomics:exploring N-glycome in the brain to advance the understanding of brain development and function

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Neural Regeneration Research 2024年第3期19卷 489-490页

作者： Boyoung lee hyun Joo An Center for Cognition and Sociality Institute for Basic Science(IBS)DaejeonSouth Korea Asia-Pacific Glycomics Reference Site DaejeonSouth Korea Graduate School of Analytical Science&Technology Chungnam National UniversityDaejeonSouth Korea

Glycosylation is a process that involves the addition of sugar moieties or glycans to different types of molecules,including proteins,lipids,and nucleic *** these,protein glycosylation is one of the most prevalent forms of post-translational modification,playing a crucial role in biological *** more than ten monosaccharides identified within mammalian brain cells and more than 1×1012 possible combinations,the heterogeneity of glycosylation is extensive(Conroy et al.,2021).The diversity of glycans and the complexity of their structures allow for a wide range of protein functions.N-glycans are one of the most abundant forms of glycans and are involved in various cellular functions.N-glycans can be added to proteins at specific sequons,Asn-X-Ser/Thr,and are classified into three main types in mature glycoproteins:high mannose,complex,and *** mannose N-glycans consist of 5-9 mannose residues linked to a chitobiose core and undergo processing into complex or hybrid forms in the Golgi apparatus(Varki et al.,2017).Complex N-glycans are more diverse and contain various branched structures such as antennae with fucose,galactose,and sialic acid *** N-glycans contain one or more complex branches in conjunction with an oligomannose branch(Fisher and Ungar,2016).Understanding the specific functions of these different types of N-glycans in protein regulation,folding,and function is an active area of research in the life sciences,including glycobiology.

关键词： functions function apparatus

Novel Rifle Number Recognition Based on Improved YOLO in Military Environment

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Computers, Materials & Continua 2024年第1期78卷 249-263页

作者： hyun Kwon sanghyun lee Department of Artificial Intelligence and Data Science Korea Military AcademySeoulKorea Graduate School of Information Security Korea Advanced Institute of Science and TechnologyDaejeonKorea

Deep neural networks perform well in image recognition,object recognition,pattern analysis,and speech *** military applications,deep neural networks can detect equipment and recognize *** military equipment,it is necessary to detect and recognize rifle management,which is an important piece of equipment,using deep neural *** have been no previous studies on the detection of real rifle numbers using real rifle image *** this study,we propose a method for detecting and recognizing rifle numbers when rifle image data are *** proposed method was designed to improve the recognition rate of a specific dataset using data fusion and transfer *** the proposed method,real rifle images and existing digit images are fusedas trainingdata,andthe final layer is transferredto theYolov5 *** detectionand recognition performance of rifle numbers was improved and analyzed using rifle image and numerical *** used actual rifle image data(K-2 rifle)and numeric image datasets,as an experimental *** was used as the machine learning *** results show that the proposed method maintains 84.42% accuracy,73.54% precision,81.81% recall,and 77.46% F1-score in detecting and recognizing rifle *** proposed method is effective in detecting rifle numbers.

关键词： Machine learning deep neural network rifle number recognition detection

Establishment of a chicken intestinal organoid culture system to assess deoxynivalenol‑induced damage of the intestinal barrier function

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Journal of Animal Science and Biotechnology 2024年第3期15卷 1119-1130页

作者： Tae Hong Kang sang In lee Department of Animal Science and Biotechnology Kyungpook National UniversitySangjuGyeong‑Sangbuk‑Do 37224Republic of Korea Research Institute for Innovative Animal Science Kyungpook National University37224SangjuGyeong‑Sangbuk‑DoRepublic of Korea

Background Deoxynivalenol(DON)is a mycotoxin that has received recognition worldwide because of its ability to cause growth delay,nutrient malabsorption,weight loss,emesis,and a reduction of feed intake in *** DON-contaminated feedstuff is absorbed in the gastrointestinal tract,we used chicken organoids to assess the DON-induced dysfunction of the small *** We established a culture system using chicken organoids and characterized the organoids at passages 1 and *** confirmed the mRNA expression levels of various cell markers in the organoids,such as KI67,leucine-rich repeat containing G protein-coupled receptor 5(Lgr5),mucin 2(MUC2),chromogranin A(CHGA),cytokeratin 19(CK19),lysozyme(LYZ),and microtubule-associated doublecortin-like kinase 1(DCLK1),and compared the results to those of the small *** results showed that the organoids displayed functional similarities in permeability compared to the small *** damaged the tight junctions of the organoids,which resulted in increased *** Our organoid culture displayed topological,genetic,and functional similarities with the small intes-tine *** on these similarities,we confirmed that DON causes small intestine *** organoids offer a practical model for the research of harmful substances.

关键词： Barrier function Deoxynivalenol Organoids