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

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

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Advances in Wireless,Batteryless,Implantable Electronics for Real‑Time,Continuous Physiological Monitoring

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Nano-Micro Letters 2024年第3期16卷 254-302页

作者： Hyeonseok Kim Bruno Rigo Gabriella Wong Yoon Jae lee woon‑Hong Yeo IEN Center for Wearable Intelligent Systems and Healthcare Georgia Institute of TechnologyAtlantaGA 30332USA George W.Woodruff School of Mechanical Engineering Georgia Institute of TechnologyAtlantaGA 30332USA School of Electrical and Computer Engineering Georgia Institute of TechnologyAtlantaGA 30332USA Wallace H.Coulter Department of Biomedical Engineering Georgia Tech and Emory University School of MedicineAtlantaGA 30332USA Parker H.Petit Institute for Bioengineering and Biosciences Institute for MaterialsInstitute for Robotics and Intelligent MachinesGeorgia Institute of TechnologyAtlantaGA 30332USA

This review summarizes recent progress in developing wireless,batteryless,fully implantable biomedical devices for real-time continuous physiological signal monitoring,focusing on advancing human health *** considerations,such as biological constraints,energy sourcing,and wireless communication,are discussed in achieving the desired performance of the devices and enhanced interface with human *** addition,we review the recent achievements in materials used for developing implantable systems,emphasizing their importance in achieving multi-functionalities,biocompatibility,and *** wireless,batteryless devices offer minimally invasive device insertion to the body,enabling portable health monitoring and advanced disease ***,we summarize the most recent practical applications of advanced implantable devices for human health care,highlighting their potential for immediate commercialization and clinical uses.

关键词： Implantable electronics Biomedical systems Batteryless devices Wireless electronics Physiological signal monitoring

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Complicated calcified alloplastic implants in the nasal dorsum:A clinical analysis

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World Journal of Clinical Cases 2024年第18期12卷 3351-3359页

作者： Yong-Seon Hwang Taek-Kyun Kim Dong-Jun Yang si-Hyong Jang Da-woon lee Department of Plastic and Reconstructive Surgery College of MedicineSoonchunhyang UniversityCheonan-Si 31151South Korea Department of Plastic Surgery The PLUS Plastic Surgery ClinicSeoul 06035South Korea Department of Plastic Surgery CDU Plastic Surgery ClinicSeoul 06067South Korea Department of Pathology College of MedicineSoonchunhyang UniversityCheonan 31151Chungcheongnam-doSouth Korea

BACKGROUND In rhinoplasty,calcification around silicone implants is frequently observed in the tip dorsum(TD)***,based on a review of various literature,it is presumed that calcification in silicone implants occurs due to both inflammatory chemical reactions and physical friction against the *** calcification of nasal silicone implants not only results in the functional loss of the implants,but also leads to material ***,there is a lack of research on calcification of nasal silicone implants in the current *** To elucidate various clinical characteristics of calcification around nasal silicone implants,using histological and radiological *** This study analyzed data from 16 patients of calcified nasal implants,who underwent revision rhinoplasty for various reasons after undergoing augmentation rhinoplasty with silicone *** collected data included information on implant duration,implant types,location of calcification,presence of inflammatory reactions,and computed tomography(CT)*** The most common location of calcification,as visually analyzed,was in the TD area,accounting for 56%.Additionally,the analysis of CT scans revealed a trend of increasing Hounsfield Unit values for calcification with the duration of implantation,although this trend was not statistically significant(P=0.139).CONCLUsiON Our study shows that reducing the frequency of calcification may be achievable by using softer silicone implants and by minimizing the damage to perioperative tissues.

关键词： silicone implants Rhinoplasty Calcification Complication Hounsfield unit

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Two-stage dynamic recrystallization and texture evolution in Al-7Mg alloy during hot torsion

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International Journal of Minerals,Metallurgy and Materials 2024年第8期31卷 1900-1911页

作者： Kwang Tae Son Chang Hee Cho Myoung Gyun Kim Ji woon lee School of Mechanical Industrialand Manufacturing EngineeringOregon State UniversityCorvallis OR 97331USA Department of Materials Science Engineering Northwestern UniversityEvanston IL 60208USA Research Institute of Industrial Science and Technology(RIST) Pohang 37673Rep.of Korea Division of Advanced Materials Engineering Kongju National UniversityCheonan 31080Rep.of Korea Center for Advanced Materials and Parts of Powders Kongju National UniversityCheonan 31080Rep.of Korea

Hot torsion tests were performed on the Al-7Mg alloy at the temperature ranging from 300 to 500℃ and strain rates between 0.05 and 5 s^(-1) to explore the progressive dynamic recrystallization(DRX)and texture *** DRX behavior of the alloy manifested two distinct stages:Stage 1 at strain of≤2 and Stage 2 at strains of≥*** Stage 1,there was a slight increase in the DRXed grain fraction(X_(DRX))with predominance of discontinuous DRX(DDRX),followed by a modest change in X_(DRX) until the transition to Stage *** 2 was marked by an accelerated rate of DRX,culminating in a substantial final X_(DRX) of~*** backscattered diffraction(EBSD)analysis on a sample in Stage 2 revealed that continuous DRX(CDRX)predominantly occurred within the(121)[001]grains,whereas the(111)[110]grains underwent a geometric DRX(GDRX)evolution without a noticeable sub-grain ***,a modified Avrami’s DRX kinetics model was utilized to predict the microstructural refinement in the Al-7Mg alloy during the DRX *** this kinetics model did not accurately capture the DDRX behavior in Stage 1,it effectively simulated the DRX rate in Stage *** texture index was employed to assess the evolution of the texture isotropy during hot-torsion test,demonstrating significant improvement(>75%)in texture randomness before the commencement of Stage *** initial texture evolution is attributed to the rotation of parent grains and the substructure evolution,rather than to an increase in X_(DRX).

关键词： Al-7Mg alloys hot deformation hot torsion tests dynamic recrystazlliation microstructure texture

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基于时间序列和改进随机森林算法的混凝土价格趋势预测

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运筹与管理 2024年第6期33卷 132-138页

作者：刘庆黄明浩 lee woon-Seek 淮南师范学院经济与管理学院安徽淮南232038 国立釜庆大学技术经营专门大学院韩国釜山48547

有效而准确的预测商品混凝土价格变动趋势,对各类建筑的施工规划具有重要意义。相比其他预测模型,随机森林模型具有更高的预测精度。然而不同的数据结构都有其独特之处,针对特定数据结构进行模型优化,有助于提高算法在特定数据上的处理... 详细信息

有效而准确的预测商品混凝土价格变动趋势,对各类建筑的施工规划具有重要意义。相比其他预测模型,随机森林模型具有更高的预测精度。然而不同的数据结构都有其独特之处,针对特定数据结构进行模型优化,有助于提高算法在特定数据上的处理性能。我们针对时间序列分类(TSC:Time Series Classification)的特征提出一种改进随机森林算法。首先将随机森林创建训练子集时的随机抽样调整为倾斜抽样,然后将决策树分裂时的随机特征向量抽样调整为分层抽样,最后以加权投票取代平均投票。实证结果表明相比原始随机森林算法,改进模型具有明显优势,对商品混凝土价格变动的预测准确率达98.4%,预测精度、召回率和F1评分分别为:98.7%,98.2%,98.4%,可以实现了商品混凝土价格变动趋势的精准预测。

关键词：价格趋势预测时间序列分类优化混凝土

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Enhancing Identity Protection in Metaverse-Based Psychological Counseling System

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Computers, Materials & Continua 2024年第1期78卷 617-632页

作者： Jun lee Hanna lee Seong Chan lee Hyun Kwon Department of Game Software Hoseo UniversityAsan-si31499Korea Yatav Enter Seoul04799Korea Department of Artificial Intelligence and Data Science Korea Military AcademySeoul01805Korea

Non-face-to-face psychological counseling systems rely on network technologies to anonymize information regard-ing client ***,these systems often face challenges concerning voice data leaks and the suboptimal communication of the client’s non-verbal expressions,such as facial cues,to the *** study proposes a metaverse-based psychological counseling system designed to enhance client identity protection while ensuring efficient information delivery to counselors during non-face-to-face *** proposed systemincorporates a voicemodulation function that instantlymodifies/masks the client’s voice to safeguard their ***,it employs real-time client facial expression recognition using an ensemble of decision trees to mirror the client’s non-verbal expressions through their avatar in the metaverse *** system is adaptable for use on personal computers and smartphones,offering users the flexibility to access metaverse-based psychological counseling across diverse *** performance evaluation of the proposed system confirmed that the voice modulation and real-time facial expression replication consistently achieve an average speed of 48.32 frames per second or higher,even when tested on the least powerful smartphone ***,a total of 550 actual psychological counseling sessions were conducted,and the average satisfaction rating reached 4.46 on a 5-point *** indicates that clients experienced improved identity protection compared to conventional non-face-to-face metaverse counseling ***,the counselor successfully addressed the challenge of conveying non-verbal cues from clients who typically struggled with non-face-to-face psychological *** proposed systemholds significant potential for applications in interactive discussions and educational activities in the metaverse.

关键词： Metaverse counseling system face tracking identity protection

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Block Incremental Dense Tucker Decomposition with Application to Spatial and Temporal Analysis of Air Quality Data

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Computer Modeling in Engineering & Sciences 2024年第4期139卷 319-336页

作者： SangSeok lee HaeWon Moon lee Sael Department of Artificial Intelligence Ajou UniversitySuwon-si16499Korea Department of Software and Computer Engineering Ajou UniversitySuwon-si16499Korea

How can we efficiently store and mine dynamically generated dense tensors for modeling the behavior of multidimensional dynamic data?Much of the multidimensional dynamic data in the real world is generated in the form of time-growing *** example,air quality tensor data consists of multiple sensory values gathered from wide locations for a long *** data,accumulated over time,is redundant and consumes a lot ofmemory in its raw *** need a way to efficiently store dynamically generated tensor data that increase over time and to model their behavior on demand between arbitrary time *** this end,we propose a Block IncrementalDense Tucker Decomposition(BID-Tucker)method for efficient storage and on-demand modeling ofmultidimensional spatiotemporal *** that tensors come in unit blocks where only the time domain changes,our proposed BID-Tucker first slices the blocks into matrices and decomposes them via singular value decomposition(SVD).The SVDs of the time×space sliced matrices are stored instead of the raw tensor blocks to save *** modeling from data is required at particular time blocks,the SVDs of corresponding time blocks are retrieved and incremented to be used for Tucker *** factor matrices and core tensor of the decomposed results can then be used for further data *** compared our proposed BID-Tucker with D-Tucker,which our method extends,and vanilla Tucker *** show that our BID-Tucker is faster than both D-Tucker and vanilla Tucker decomposition and uses less memory for storage with a comparable reconstruction *** applied our proposed BID-Tucker to model the spatial and temporal trends of air quality data collected in South Korea from 2018 to *** were able to model the spatial and temporal air quality *** were also able to verify unusual events,such as chronic ozone alerts and large fire events.

关键词： Dynamic decomposition tucker tensor tensor factorization spatiotemporal data tensor analysis air quality

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Revealing the influence of in-situ formed LiCl on garnet/Li interface for dendrite-free solid-state batteries

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Journal of Energy Chemistry 2024年第5期92卷 394-403页

作者： Seoyoon Shin Jinuk lee Tae Ho Shin Seokhee lee Hydrogen Energy Materials Center Korea Institute of Ceramic Engineering&TechnologyJinju-siGyeongsangnam-do 52851Republic of Korea Department of Materials Science and Engineering Yonsei UniversitySeoul 03722Republic of Korea

Inadequate interfacial contact between lithium and solid-state electrolytes(SSEs)leads to elevated impedance and the growth of lithium dendrites,presenting significant obstacles to the practical viability of solid-state batteries(SSBs).To ameliorate interfacial contact,optimizing the surface treatment of SSEs has been widely ***,the formation of LiCl through acid treatment,an equally crucial factor impacting SSB performance,has received limited attention,leaving its underlying mechanism *** study aims to shed light on SSE characteristics following LiCl formation and the removal of Li_(2)CO_(3) through acid *** seek to establish quantifiable links between SSE surface structure and SSB performance,focusing on interfacial resistance,current distribution,critical current density(CCD),and lithium *** formation of LiCl,occurring as Li_(2)CO_(3) is removed through acid treatment,effectively mitigates lithium dendrite formation on SSE *** action inhibits electron injection and reduces the diffusion rate of Li ***,acid treatment transforms the SSE surface into a lithiophilic state by eliminating surface Li_(2)CO_(3).Consequently,the interfacial resistance between lithium and SSEs substantially decreases from 487.67 to 35.99Ωcm^(2) at 25°*** leads to a notably high CCD of 1.3 mA cm^(-2) and a significantly extended cycle life of 1,000 ***,in full SSBs incorporating LiCoO_(2)cathodes and acid-treated garnet SSEs,we observe exceptional cyclability and rate *** findings highlight that acid treatment not only establishes a fundamental relationship between SSE surfaces and battery performance but also offers an effective strategy for addressing interfacial challenges in SSBs.

关键词： Solid-statebatteries Acidtreatment Interfacial stability LiCl Surface modification

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Difficulties, strategies, and recent research and development of layered sodium transition metal oxide cathode materials for high-energy sodium-ion batteries

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Journal of Energy Chemistry 2024年第3期90卷 40-57,I0003页

作者： Kouthaman Mathiyalagan Dongwoo Shin Young-Chul lee Department of Nano Science and Technology Convergence Gachon University1342 Seongnam-DaeroSujeong-GuGyeonggi-DoSeongnam-Si 13120Republic of Korea Department of Bio Nano Technology Gachon University1342 Seongnam-DaeroSujeong-GuGyeonggi-DoSeongnam-Si 13120Republic of Korea

Energy-storage systems and their production have attracted significant interest for practical *** are the foundation of sustainable energy sources for electric vehicles(EVs),portable electronic devices(PEDs),*** recent decades,Lithium-ion batteries(LIBs) have been extensively utilized in largescale energy storage devices owing to their long cycle life and high energy ***,the high cost and limited availability of Li are the two main obstacles for *** this regard,sodium-ion batteries(siBs) are attractive alternatives to LIBs for large-scale energy storage systems because of the abundance and low cost of sodium *** is one of the most important components in the battery,which limits cost and performance of a *** the classified cathode structures,layered structure materials have attracted attention because of their high ionic conductivity,fast diffusion rate,and high specific ***,we present a comprehensive review of the classification of layered structures and the preparation of layered ***,the review article discusses extensively about the issues of the layered materials,namely(1) electrochemical degradation,(2) irreversible structural changes,and(3) structural instability,and also it provides strategies to overcome the issues such as elemental phase composition,a small amount of elemental doping,structural design,and surface alteration for emerging *** addition,the article discusses about the recent research development on layered unary,binary,ternary,quaternary,quinary,and senary-based O3-and P2-type cathode materials for high-energy *** review article provides useful information for the development of high-energy layered sodium transition metal oxide P2 and O3-cathode materials for practical siBs.

关键词： O3-type P2-type Cathode materials Sodium-ion batteries Layered structure

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Microsphere-assisted hyperspectral imaging:super-resolution,non-destructive metrology for semiconductor devices

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Light(Science & Applications) 2024年第6期13卷 1098-1111页

作者： Jangryul Park Youngsun Choi Soonyang Kwono Youngjun lee Jiwoong Kim Jae-joon Kim Jihye lee Jeongho Ahn Hidong Kwak Yusin Yang Taeyong Jo Myungjun lee Kwangrak Kim Metrology and Inspection Equipment R&D Team Mechatronics ResearchSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea Process Development Department DRAM Process Development TeamSemiconductor R&D CenterSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea Process Development Department Semiconductor R&D CenterSamsung Electronics Co.Ltd.1-1 Samsungjeonja-rohwaseong-siGyeonggi-do18848Republic of Korea

As semiconductor devices shrink and their manufacturing processes advance,accurately measuring in-cell critical dimensions(CD)becomes increasingly *** test element group(TEG)measurements are becoming inadequate for representing the fine,repetitive patterns in cell *** non-destructive metrology technologies like optical critical dimension(OCD)are limited due to their large spot diameter of approximately 25μm,which impedes their efficacy for detailed in-cell structural ***,there is a pressing need for small-spot and non-destructive metrology *** address this limitation,we demonstrate a microsphere-assisted hyperspectral imaging(MAHsi)system,specifically designed for small spot optical metrology with *** microsphere-assisted super-resolution imaging,this system achieves an optical resolution of 66 nm within a field of view of 5.6μm×5.6μ*** approach effectively breaks the diffraction limit,significantly enhancing the magnification of the *** MAHsi system incorporating hyperspectral imaging with a wavelength range of 400–790 nm,enables the capture of the reflection spectrum at each camera *** achieved pixel resolution,which is equivalent to the measuring spot size,is 14.4 nm/pixel and the magnification is *** MAHsi system enables measurement of local uniformity in critical areas like corners and edges of DRAM cell blocks,areas previously challenging to inspect with conventional OCD *** our knowledge,this approach represents the first global implementation of microsphere-assisted hyperspectral imaging to address the metrology challenges in complex 3D structures of semiconductor devices.

关键词： metrology resolution enable

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