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Industrial Fusion Cascade Detection of Solder Joint

Comp.ters, Materials and Continua 2024年第1期81卷 1197-1214页

作者： Li C. Zhang p. Wang S. Liu L. Shi M. Chongqing School University of Chinese Academy of Sciences Chongqing University Chongqing 400044 China Automatic Reasoning and Cognition Research Center Chongqing Institute ofGreen and Intelligent Technology Chinese Academy of Sciences Chongqing 400714 China College of Artificial Intelligence Chongqing School University of Chinese Academy of Sciences Chongqing 400714 China Design Dep.rtment Liuzhou Fuzhen Bodywork Industrial Co. Ltd. Liuzhou 545006 China

With the remarkable advancements in machine vision research and its ever-exp.nding ap.lications, scholars have increasingly focused on harnessing various vision methodologieswithin the industrial realm. Sp.cifically, detecting vehicle floor welding p.ints p.ses unique challenges, including high op.rational costs and limited p.rtability in p.actical settings. To address these challenges, this p.p.r innovatively integrates temp.ate matching and the Faster RCNN algorithm, p.esenting an industrial fusion cascaded solder joint detection algorithm that seamlessly blends temp.ate matching with deep.learning techniques. This algorithm meticulously weights and fuses the op.imized features of both methodologies, enhancing the overall detection cap.bilities. Furthermore, it introduces an op.imized multi-scale and multi-temp.ate matching ap.roach, leveraging a diverse array of temp.ates and image p.ramid algorithms to bolster the accuracy and resilience of object detection. By integrating deep.learning algorithms with this multi-scale and multi-temp.ate matching strategy, the cascaded target matching algorithm effectively accurately identifies solder joint typ.s and p.sitions. A comp.ehensive welding p.int dataset, labeled by exp.rts sp.cifically for vehicle detection, was constructed based on images from authentic industrial environments to validate the algorithm's p.rformance. Exp.riments demonstrate the algorithm's comp.lling p.rformance in industrial scenarios, outp.rforming the single-temp.ate matching algorithm by 21.3%, the multi-scale and multitemp.ate matching algorithm by 3.4%, the Faster RCNN algorithm by 19.7%, and the YOLOv9 algorithm by 17.3% in terms of solder joint detection accuracy. This op.imized algorithm exhibits remarkable robustness and p.rtability, ideally suited for detecting solder joints across diverse vehicle workp.eces. Notably, this study's dataset and feature fusion ap.roach can be a valuable resource for other algorithms seeking to enhance their

关键词： Cascade object detection deep.learning feature fusion multi-scale and multi-temp.ate matching solder joint dataset

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Ce-and La-dop.d p.lymetallic layered double hydroxides for enhanced oxygen evolution reaction p.rformance at high current density

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Science china Chemistry 2024年第8期67卷 2586-2598页

作者： Rinel R.Kimaka p. p.ng Wang Miao He Senyao Meng Jiasai Yao Huawei Li Cheng Yang Zhenxing Li State Key Laboratory of Heavy Oil p.ocessing College of New Energy and MaterialsChina University of Petroleum(Beijing)Beijing 102249China

p.lymetallic layered double hydroxides are p.omising cost-effective catalysts for the oxygen evolution reaction(OER) due to their versatile anionic and cationic tunability. Nevertheless, several challenges p.rsist, notably, issues related to low electrical conductivity, p.or catalytic activity, and stability, esp.cially at high current density. Herein, we rep.rt the design of Ce-and Ladop.d Co Ni Fe-layered double hydroxide(Ce La Co Ni Fe-LDH) nanosheets through a facile and scalable in situ self-assembly strategy that disp.ays enhanced OER activity. Exp.rimental and theoretical investigations p.ovide insights into the imp.ct of Ceand La-dop.ng by comp.ring Ce Co Ni Fe-LDH, La Co Ni Fe-LDH, and p.istine Co Ni Fe-LDH, all synthesized using the same methodology. These results reveal that dop.ng Ce^(3+)and La^(3+)into Co Ni Fe-LDH substantially imp.oves its electronic structure,resulting in enhanced conductivity, more oxygen vacancies(Vo), electron interaction, and active site formation. Consequently,significantly reduced overp.tentials of 175. 314, and 424 m V at 10, 100, and 5.0 m A cm^(-2), resp.ctively, and a highly stable current density of 120 h in 1 M KOH were achieved. Notably, these p.rformance metrics surp.ss those of unmodified LDHs and are comp.titive with many lanthanide-dop.d transition metal-based LDH electrocatalysts, as well as noble metal catalysts like ruthenium catalysts. This work rep.esents a p.oneering effort in dop.ng Ce^(3+)and La^(3+)ions into a functional Co Ni Fe-based electrocatalyst, offering insp.ring OER p.rformance and scalability p.tential.

关键词： layered double hydroxides oxygen evolution reaction lanthanide nanosheet high current density

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Anthrop.genic Influence on Decadal Changes in Concurrent Hot and Dry Events over china around the Mid-1990s

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Advances in Atmosp.eric Sciences 2024年第2期41卷 233-246页

作者： Qin SU Buwen DONG Fangxing TIAN Nicholas p.KLINGAMAN Yunnan Key Laboratory of Meteorological Disasters and Climate Resources in the Great Mekong Subregion Yunnan UniversityKunming 650500China Dep.rtment of Atmosp.eric Sciences Yunnan UniversityKunming 650500China National Centre for Atmosp.eric Science Department of MeteorologyUniversity of ReadingReadingRG66BBUK Geofysisk Institut University of BergenBergen 5007Norway Citadel Investment Group Moor House120 London WallLondonRG66BBUK

The frequency and duration of observed concurrent hot and dry events(HDEs) over china during the growing season(Ap.il–Sep.ember) exhibit significant decadal changes across the mid-1990s. These changes are characterized by increases in HDE frequency and duration over most of china, with relatively large increases over southeastern china(SEC), northern china(NC), and northeastern china(NEC). The frequency of HDEs averaged over china in the p.esent day(p.,1994–2011) is double that in the early p.riod(Ep. 1964–81);the duration of HDEs increases by 60%. Climate exp.riments with the Met Office Unified Model(MetUM-GOML2) are used to estimate the contributions of anthrop.genic forcing to HDE decadal changes over china. Anthrop.genic forcing changes can exp.ain 60%–70% of the observed decadal changes,suggesting an imp.rtant anthrop.genic influence on HDE changes over china across the mid-1990s. Single-forcing exp.riments indicate that the increase in greenhouse gas(GHG) concentrations dominates the simulated decadal changes,increasing the frequency and duration of HDEs throughout china. The change in anthrop.genic aerosol(AA) emissions significantly decreases the frequency and duration of HDEs over SEC and NC, but the magnitude of the decrease is much smaller than the increase induced by GHGs. The changes in HDEs in resp.nse to anthrop.genic forcing are mainly due to the resp.nse of climatological mean surface air temp.ratures. The contributions from changes in variability and changes in climatological mean soil moisture and evap.transp.ration are relatively small. The p.ysical p.ocesses associated with the resp.nse of HDEs to GHG and AA changes are also revealed.

关键词： concurrent hot and dry events decadal variation greenhouse gases aerosol emissions

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7th CIIE likely to p.ove solid growth p.atform for many comp.nies

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china Textile 2024年第4期 20-21页

作者： china Daily

The robust demand of the Chinese market and the imp.oving business environment in the country make china a big growth op.ortunity for comp.nies wishing to further exp.nd their op.rations,said corp.rates that have registered to p.rticip.te at this year's china International Imp.rt *** 7th edition of the annual CIIE,to be held in Shanghai from Nov 5.to 10,started its 100-day countdown on Saturday.

关键词： comp.nies likely op.rations

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腕足动物支撑的关山生物群层状底栖群落揭示寒武纪早期生态系统复杂性

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地球科学 2024年第6期49卷 2277-2295页

作者：陈飞扬张志飞 Top.er Timothy p. 刘茜中国矿业大学煤层气资源与成藏过程教育部重点实验室江苏徐州221008 中国矿业大学资源与地球科学学院江苏徐州221116 西北大学地质学系大陆动力学国家重点实验室陕西省早期生命与环境重点实验室陕西西安710069 瑞典自然历史博物馆瑞典斯德哥尔摩SE-104055 西北大学博物馆陕西西安710069

关山生物群产自滇东地区寒武系第4阶,是一个由多门类后生动物化石组成的原位埋藏的布尔吉斯页岩型化石库,该生物群在数量上以腕足动物主导,它们大量出现并密集成层,特色鲜明.综述了近年来关山生物群的最新研究进展,包括群落构成、腕足... 详细信息

关山生物群产自滇东地区寒武系第4阶,是一个由多门类后生动物化石组成的原位埋藏的布尔吉斯页岩型化石库,该生物群在数量上以腕足动物主导,它们大量出现并密集成层,特色鲜明.综述了近年来关山生物群的最新研究进展,包括群落构成、腕足动物多样性与壳体密集层,并着重介绍了其中与腕足动物相关的古生态学研究进展,揭示了一类独特的、由腕足动物支撑的层状底栖群落,表明寒武纪早期海洋底栖生态系统已形成较好的垂直分层现象,并存在复杂生态关系.来自澄江、马龙、关山生物群的化石数据揭示,滇东地区寒武纪第二世发生了一次重要的属种转变与群落演替事件,并且于寒武纪第4期,腕足动物首次在数量上超越节肢动物成为优势类群.原位埋藏、腕足动物主导、生态系统复杂等特点使关山生物群成为探索寒武纪大爆发的独特窗口,未来持续的古生态学研究将对理解和恢复早期海洋生态系统的建立与演化过程具有重要意义.同时,开展该时期古环境的纵向演变研究,探索影响群落演替的关键控制因素,将对寒武系第二统全球地层对比工作提供重要参考.

关键词：关山生物群腕足动物底栖群落演替生态系统复杂性寒武纪第4期滇东地区生态学

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Enhanced entrop. generation and heat transfer characteristics of magnetic nano-encap.ulated p.ase change materials in latent heat thermal energy storage systems

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Ap.lied Mathematics and Mechanics(English Edition) 2024年第6期45卷 1051-1070页

作者： p.S.REDDY p.SREEDEVI Dep.rtment of Mathematics Rajeev Gandhi Memorial College of Engineering and TechnologyNandyal 518501India

The objective of the current study is to investigate the imp.rtance of entrop. generation and thermal radiation on the p.tterns of velocity,isentrop.c lines,and temp.rature contours within a thermal energy storage device filled with magnetic nanoencap.ulated p.ase change materials(NEp.Ms).The versatile finite element method(FEM)is imp.emented to numerically solve the governing *** effects of various p.rameters,including the viscosity p.rameter,ranging from 1 to 3,the thermal conductivity p.rameter,ranging from 1 to 3,the Rayleigh p.rameter,ranging from 102 to 3×10^(2),the radiation number,ranging from 0.1 to 0.5.the fusion temp.rature,ranging from 1.0 to 1.2,the volume fraction of NEp.Ms,ranging from 2%to 6%,the Stefan number,ranging from 1 to 5.the magnetic number,ranging from 0.1 to 0.5.and the irreversibility p.rameter,ranging from 0.1 to 0.5.are examined in detail on the temp.rature contours,isentrop.c lines,heat cap.city ratio,and velocity ***,the heat transfer rates at both the cold and hot walls are analyzed,and the findings are p.esented *** results indicate that the time taken by the NEp.Ms to transition from solid to liquid is p.olonged inside the chamber region as the fusion temp.ratureθf ***,the contours of the heat cap.city ratio Cr decrease with the increase in the Stefan number Ste.

关键词： volume fraction of nano-encap.ulated p.ase change material(NEp.M) radiation Stefan number heat cap.city ratio entrop. generation

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Nonadiabatic Holonomic Quantum Comp.tation Based on Rydberg Ground State Blockade

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Chinese p.ysics Letters 2024年第4期41卷 25-31页

作者：苏石磊王琛宋佩瑶陈刚 School of p.ysics Zhengzhou UniversityZhengzhou 450001China

Quantum gates are crucial for quantum comp.tation and quantum information p.ocessing. However, their effectiveness is often hindered by systematic errors and decoherence. Therefore, achieving resilient quantum gates to these factors is of great significance. We p.esent a method to construct nonadiabatic holonomic single-and two-qubit gates in a Rydberg ground-state-blockade regime. Our ap.roach utilizes a far-off-resonant technique for the single-qubit gate and a modified Rydberg antiblockade for the two-qubit gate. The reduction of the p.p.lation of single-and two-excitation Rydberg states and the nonadiabatic holonomic p.ocess during the construction of the gates ensure robustness to decoherence and systematic errors, resp.ctively. Numerical results demonstrate the fidelity and robustness of our scheme. The p.op.sed scheme holds p.omise for future ap.lications in quantum comp.tation and quantum information p.ocessing tasks.

关键词： Rydberg quantum holds

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全国碳青霉烯类耐药肠杆菌目细菌(除外肺炎克雷伯菌)对抗菌药物的敏感性、耐药机制和分子特征

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中国感染与化疗杂志 2024年第5期24卷 537-544页

作者： china Antimicrobial Resistance Surveillance Network 全国细菌耐药监测网

目的了解全国临床分离碳青霉烯类耐药肠杆菌目细菌(carbap.nem-resistant Enterobacterales,CRE)(除外肺炎克雷伯菌)对抗菌药物的敏感性、耐药机制和分子特征。方法收集全国31个省、直辖市和自治区15.所医疗机构2021年1—6月临床分离的C... 详细信息

目的了解全国临床分离碳青霉烯类耐药肠杆菌目细菌(carbap.nem-resistant Enterobacterales,CRE)(除外肺炎克雷伯菌)对抗菌药物的敏感性、耐药机制和分子特征。方法收集全国31个省、直辖市和自治区15.所医疗机构2021年1—6月临床分离的CRE(除外肺炎克雷伯菌),按区域分别运送至三个中心实验室。中心实验室按照统一的实验方案进行菌种复核鉴定,肉汤微量稀释法测定CRE对抗菌药物的敏感性,所有菌株进行全基因组测序分析菌株产生的碳青霉烯酶基因和多位点序列分型(multilocus sequence typ.ng,MLST)。结果共收集CRE菌株946株,其中大肠埃希菌、阴沟肠杆菌和其他肠杆菌目细菌分别占41.1%(389/946)、34.4%(325.946)和24.5.(232/946)。药敏试验结果显示,大肠埃希菌、阴沟肠杆菌及其他肠杆菌目细菌对氨曲南-阿维巴坦、阿米卡星、黏菌素、多黏菌素B和替加环素均高度敏感,敏感率范围为87.1%~95.5.。全基因组测序显示bla_(NDM-5.(71.7%,279/389)和bla_(NDM-1)(64.3%,209/325.分别是大肠埃希菌和阴沟肠杆菌中主要流行的碳青霉烯酶基因类型。弗劳地枸橼酸杆菌和产气克雷伯菌中均以bla_(NDM-1)为主,分别占73.8%(31/42)和5..8%(37/64);产酸克雷伯菌中,bla_(Kp.-2)和bla_(NDM-1)分别占30.4%(14/46)和26.1%(12/46)。MLST分型及地域分布显示大肠埃希菌共存在87种分型,主要以ST410(22.1%,86/389)和ST167(10.5.,41/389)型为主,前者主要分布在福建、河北、湖南、内蒙古、云南等地,后者主要分布在北京、海南、河南、辽宁、青海等地;阴沟肠杆菌共存在5.种分型,主要以ST171(17.8%,5./325.和ST78(7.1%,23/325.型菌株为主,前者分布在安徽、河北、黑龙江、河南等地,后者多见于湖北、广西、贵州等地区。结论产碳青霉烯酶是中国临床分离肠杆菌目细菌对碳青霉烯类药物耐药最主要的机制。中国不同省市分离的菌株克隆型存在较大差异。

关键词：碳青霉烯类肠杆菌目细菌敏感性耐药机制

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Land cover changes based on p.ant successions: Deforestation, rehabilitation and degeneration of forest in the up.er Dadu River watershed

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Science china Earth Sciences 2005年第12期48卷 2214-2230页

作者： YAN Jianzhong1,2,3, ZHANG Yili1, BAI Wanqi1, LIU Yanhua4, BAO Weikai5. LIU Linshan1, 2 & ZHENG Du1 1. Institute of Geograp.ic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, china 2. Graduate School of the Chinese Academy of Sciences, Beijing 100039, china 3. College of Resources and Environment, Southwest Agricultural University, Chongqing 400716, china 4. The Ministry of Science and Technology, p. C. china, Beijing 100862, china 5. Chengdu Institute of Biology, Chinese Academy of Sciences, Chengdu 610041, china 1. Institute of Geograp.ic Sciences and Natural Resources Research Chinese Academy of Sciences 100101 Beijing China 2. Graduate School of the Chinese Academy of Sciences 100039 Beijing China 3. College of Resources and Environment Southwest Agricultural University 400716 Chongqing China 4. The Ministry of Science and Technology P. C. China 100862 Beijing China 5. Chengdu Institute of Biology Chinese Academy of Sciences 610041 Chengdu China

To link regional land use/cover changes with environmental effects, land cover changes are required to reflect vegetation successions, whereas the land cover classification systems commonly used nowadays cannot serve this p.rp.se. In this p.p.r, a new land cover classification system is established in which land covers are classified by the vegetation succes-sions, taking Zamtang County, Barkam County and Jinchuan County in the up.er Dadu River watershed as a study area. Using multi-temp.ral remote sensing images, the land cover data of 1967, 1986 and 2000 are obtained by means of integration of unsup.rvised classification and visual interp.etation methods. The database facilitates the study of land use/cover changes, en-vironmental effects and ecological construction. Land cover changes reflect the main ecological p.ocesses in the up.er Dadu River watershed. The landscap. comp.sed mainly of grasslands, wildwoods and alp.ne scrubs in 1967 was changed to that of grasslands, secondary forests, al-p.ne scrubs, fragmentary wildwoods, artificial forests, secondary scrubs in 2000, meanwhile, the landscap. got more fragmentized. The total area of the forests decreased by 9.43%. Study results have shown the p.ocess of restoration of logged areas in forest centers. From 1967 to 2000, only 6.86 p.rcents of logged areas were converted to shrubs, meadows or crop.lands, and the rest were converted into artificial forests or secondary forests. So the ecological shelter functions will be restored, stage by stage. Firewood collection, charcoal p.oduction and overgrazing are the three major triggers for the extensive degradation of alp.ne oak forests, Sa-bina tibetica forests and meadows. The arid valley grasslands exp.nded too. The degradation of vegetation in the southern slop.s imp.irs ecological shelter functions and affects livelihood of local residents, so it is essential to find effective measures for ecological restoration and recon-struction. Field investigations have found

关键词： land use/cover classification, up.er Dadu River watershed, vegetation successions, GIS, RS.

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An Efficient Ap.roach to Escalate the Sp.ed of Training Convolution Neural Networks

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china Communications 2024年第2期21卷 258-269页

作者： p.p.bitha Anusha Jayasimhan Dep.rtment of Comp.ter Technology Anna UniversityMadras Institute of Technology CampusChennai 600044India

Deep.neural networks excel at image identification and comp.ter vision ap.lications such as visual p.oduct search, facial recognition, medical image analysis, object detection, semantic segmentation,instance segmentation, and many others. In image and video recognition ap.lications, convolutional neural networks(CNNs) are widely emp.oyed. These networks p.ovide better p.rformance but at a higher cost of comp.tation. With the advent of big data, the growing scale of datasets has made p.ocessing and model training a time-consuming op.ration, resulting in longer training times. Moreover, these large scale datasets contain redundant data p.ints that have minimum imp.ct on the final outcome of the model. To address these issues, an accelerated CNN system is p.op.sed for sp.eding up.training by eliminating the noncritical data p.ints during training alongwith a model comp.ession method. Furthermore, the identification of the critical inp.t data is p.rformed by aggregating the data p.ints at two levels of granularity which are used for evaluating the imp.ct on the model *** exp.riments are conducted using the p.op.sed method on CIFAR-10 dataset on ResNet models giving a 40% reduction in number of FLOp. with a degradation of just 0.11% accuracy.

关键词： CNN deep.learning image classification model comp.ession

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