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Developing biophilic intermediate spaces for Arctic housing:Optimizing the thermal,visual,and energy performance

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Building Simulation 2024年第6期17卷 857-875页

作者： Tarlan Abazari AndréPotvin Louis Gosselin Claude mh Demers GRAP(Groupe de recherche en ambiance physiques) School of ArchitectureLaval UniversityQuébecCanada Department of Mechanical Engineering Faculty of Science and EngineeringLaval UniversityQuébecCanada

Connecting occupants to the outdoor environment and incorporating biophilic design principles are challenging in extreme Arctic climatic *** Arctic housing models do not provide efficient thermal and daylight transitions which are essential for the well-being and cultural needs of their *** address these challenges,this research develops free-running biophilic intermediate spaces,integrated into an existing Arctic housing *** simulation methods are employed to optimize the primary and secondary architectural design variables for 26 case studies of intermediate *** variables include volume,transparency ratio,and *** variables include materials and physical ***,Daylight Factor/Autonomy,and Energy Use are evaluated as performance *** reveal that free-running intermediate spaces with 6 meters depth and a transparency ratio above 50%provide efficient indoor–outdoor transitions regarding thermal,visual,and energy *** architectural configurations contribute to an approximately 5%reduction in energy consumption within the housing unit compared to the *** side windows prevents the risk of overheating during the summer by reducing the average indoor temperature of intermediate spaces by 7°C but increases the overall energy *** a potential alternative to double-glazing,polycarbonate sheets enable efficient thermal performance by increasing the average indoor temperature of intermediate spaces by approximately 15°C during the cold Arctic *** polycarbonate sheets results in a 16.6%reduction in energy consumption compared to using double-glazing material in intermediate space,and a 26%reduction from the *** outcomes contribute to efficient indoor–outdoor connections and energy efficiency in Arctic housing.

关键词： Arctic housing intermediate spaces biophilic design positive thermal transitions daylight availability energy efficiency

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中医诊治慢性疲劳免疫功能紊乱综合征的探讨

国外医学（中医中药分册） 1993年第6期15卷 15-17页

作者： lee,mh 黄亦琦

采用中西医两种观点，根据慢性疲劳免疫功能紊乱综合征（ＣＦＩＤＳ）可能的病因，症状、诊断和治疗进行了回顾。对中医药诊断，针灸和草药治疗该病进行了探讨。

关键词：疲劳综合症慢性中医药疗法

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减少硫磺回收装置尾气中硫排放的ELSE法

石油炼制译丛 1989年第4期 19-26页

作者： lee.,mh 李依湘

A Review on Soft Ionic Touch Point Sensors

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ENERGY & ENVIRONMENTAL MATERIALS 2024年第6期7卷 193-208页

作者： lee, Gibeom lee, Donghyun Im, Gwang-Bum lee, Younghoon Gachon Univ Dept Mech Engn 1342 Seongnamdaero Seongnam 13120 South Korea Harvard Med Sch Dept Surg Boston MA 02115 USA

A touch sensor is an essential component in meeting the growing demand for human-machine interfaces. These sensors have been developed in wearable, attachable, and even implantable forms to acquire a wide range of information from humans. To be applied to the human body, sensors are required to be biocompatible and not restrict the natural movement of the body. Ionic materials are a promising candidate for soft touch sensors due to their outstanding properties, which include high stretchability, transparency, ionic conductivity, and biocompatibility. Here, this review discusses the unique features of soft ionic touch point sensors, focusing on the ionic material and its key role in the sensor. The touch sensing mechanisms include piezocapacitive, piezoresistive, surface capacitive, piezoelectric, and triboelectric and triboresistive sensing. This review analyzes the implementation hurdles and future research directions of the soft ionic touch sensors for their transformative potential. This paper introduces the increasing importance of touch sensors in human-machine interfaces and the role of soft ionic materials in enhancing the functionality of touch sensors. It provides detailed explanations of various touch sensor mechanisms, including piezocapacitive, piezoresistive, surface capacitive, piezoelectric, triboelectric, and triboresistive. It also discusses the challenges of minimizing humidity sensitivity, improving resilience, and suppressing unwanted electrochemical reactions, along with future directions for touch sensors. image

关键词： iontronics ionic materials soft materials touch sensors TRIBOELECTRIC NANOGENERATORS BRAIN-TISSUE TRANSPARENT HYDROGEL STRENGTH

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

Generalized polynomial chaos expansion by reanalysis using static condensation based on substructuring

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Applied Mathematics and Mechanics(English Edition) 2024年第5期45卷 819-836页

作者： D.lee S.CHANG J.lee Department of Automotive Engineering Hanyang UniversitySeoul 04763Republic of Korea School of Mechanical Engineering Chungnam National UniversityDaejeon 34134Republic of Korea Department of Mechanical Robotics and Energy EngineeringDongguk UniversitySeoul 04620Republic of Korea

This paper presents a new computational method for forward uncertainty quantification(UQ)analyses on large-scale structural systems in the presence of arbitrary and dependent random *** method consists of a generalized polynomial chaos expansion(GPCE)for statistical moment and reliability analyses associated with the stochastic output and a static reanalysis method to generate the input-output data *** the reanalysis,we employ substructuring for a structure to isolate its local regions that vary due to random *** allows for avoiding repeated computations of invariant substructures while generating the input-output data *** substructuring with static condensation further improves the computational efficiency of the reanalysis without losing ***,the GPCE with the static reanalysis method can achieve significant computational saving,thus mitigating the curse of dimensionality to some degree for UQ under high-dimensional *** numerical results obtained from a simple structure indicate that the proposed method for UQ produces accurate solutions more efficiently than the GPCE using full finite element analyses(FEAs).We also demonstrate the efficiency and scalability of the proposed method by executing UQ for a large-scale wing-box structure under ten-dimensional(all-dependent)random inputs.

关键词： forward uncertainty quantification(UQ) generalized polynomial chaos expansion(GPCE) static reanalysis method static condensation substructuring

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Pyrometallurgical recycling of end-of-life lithium-ion batteries

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International Journal of Minerals,Metallurgy and Materials 2024年第7期31卷 1554-1571页

作者： Juheon lee Kwang Won Park Il Sohn Sanghoon lee Department of Materials Science and Engineering Seoul 03722Korea Yonsei Industry Cooperation Center Yonsei UniversitySeoul 03722Korea RD Solution Wanju gunJeollabuk do 55365Korea

The global importance of lithium-ion batteries(LIBs)has been increasingly underscored with the advancement of high-performance energy storage ***,the end-of-life of these batteries poses significant challenges from environmental,economic,and resource management *** review paper focuses on the pyrometallurgy-based recycling process of lithium-ion batteries,exploring the fundamental understanding of this process and the importance of its *** on the high energy consumption and emission gas issues of the pyrometallurgical recycling process,we systematically analyzed the capital-intensive nature of this process and the resulting technological ***,we conducted an in-depth discussion on the future research directions to overcome the existing technological barriers and *** review will provide valuable insights for researchers and industry stakeholders in the battery recycling field.

关键词： spent lithium-ion batteries recycling sustainability lithium valuable metal

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Regulating interfacial stability of SiO_(x) anode with fluoride-abundant solid–electrolyte interphase by fluorine-functionalized additive

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Rare Metals 2024年第2期43卷 671-681页

作者： Subin lee Taeeun Yim Advanced Batteries Laboratory Department of ChemistryIncheon National UniversityIncheon22012Republic of Korea Research Institute of Basic Sciences College of Natural ScienceIncheon National UniversityIncheon22012Republic of Korea

Silicon oxide(SiO_(x))has received remarkable attention as a next-generation battery material;however,the sudden decrease in the cycling retention constitutes a significant challenge in facilitating its ***(2,2,2-trifluoroethyl)phosphite(TTFP),which can control parasitic reactions such as the pulverization of SiO_(x)anode materials and electrolyte decomposition,has been proposed to improve the lifespan of the *** electrochemical reduction of TTFP results in solid-electrolyte interphase(SEI)layers that are mainly composed of LiF,which occur at a higher potential than the working potential of the SiO_(x)anode and carbonate-based *** electrolyte with TTFP exhibited a substantial improvement in cycling retention after 100 cycles,whereas the standard electrolyte showed acutely decreased *** thickness of the SiO_(x)anode with TTFP also changed only slightly without any considerable delamination spots,whereas the SiO_(x)anode without TTFP was prominently deformed by an enormous volume expansion with several internal *** cycled SiO_(x)anode with TTFP exhibited less increase in resistance after cycling than that in the absence of TTFP,in addition to fewer decomposition adducts in corresponding X-ray photoelectron spectroscopy(XPS)analyses between the cycled SiO_(x)*** results demonstrate that TTFP formed SEI layers at the SiO_(x)interface,which substantially reduced the pulverization of the SiO_(x)anode materials;in addition,electrolyte decomposition at the interface decreased,which led to improved cycling retention.

关键词： Lithium-ion batteries(LIBs) Silicon oxide anode Electrolyte Additive Solid-electrolyte interphases(SEI) Tris(2,2,2-trifluoroethyl)phosphite

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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