检索结果-南通市图书馆

Technical Perspective:Research on General-Purpose Brain-Inspired Computing Systems

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Computer Science & Technology 2024年第1期39卷 1-3页

作者： oliver Rhodes Department of Computer Science University of ManchesterManchester M139PLU.K

Brain-inspired computing is a popular research area with the potential to advance our understanding of brain function,artificial intelligence,and next-generation computing *** referred to as"neuromorphic",these systems and algorithms hope to harness mechanisms present in brains to make step changes in perfor-mance over regular von Neumann based approaches[1].

关键词： artificial computing Brain

Security Service Model for RFID Enabled Supply Chain

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Security Service Model for RFID Enabled Supply Chain

Entangled photon pair generation in an integrated SiC platform

第四届电子商务国际会议

作者： oliver wang Computer College Zhejiang UniversityHangzhou 310027China SAP China LabsShanghai 200003 China

＜正＞ ABSTRACTIt has been widely recognized that RFID related technologies will greatly improve the visibility, the efficiency and the collaboration of industry supply chain. In this new "product driven" supply chain scenario, manufacturer, supplier, and third party share and coordinate the use of diverse resources in distributed "virtual organizations". It challenges the security issues, which demand new technical approaches. In collaboration with researchers in Auto-ID Labs China, we have developed a service-oriented framework based on CA and Web Services, which supports inexpensive mediation of product information among rapidly evolving, heterogeneous information sources. Our architecture defines a user-driven security model that allows users to create entities and policy domains within virtual organizations. We emphasize that standard Web Services tools and software provide both stateless and stateful forms of secured communication.

关键词： security service RFID supply chain PKI

来源： cnki会议评论

在线全文

cnki会议

学校读者我要写书评

暂无评论

Light(Science & Applications) 2024年第6期13卷 1041-1046页

作者： Anouar Rahmouni Ruixuan wang Jingwei Li Xiao Tang Thomas Gerrits oliver Slattery Qing Li Lijun Ma National Institute of Standards and Technology 100 Bureau DrGaithersburgMD20899USA Department of Electrical and Computer Engineering Carnegie Mellon UniversityPittsburghPA15213USA

Entanglement plays a vital role in quantum information *** to its unique material properties,silicon carbide recently emerged as a promising candidate for the scalable implementation of advanced quantum information processing *** date,however,only entanglement of nuclear spins has been reported in silicon carbide,while an entangled photon source,whether it is based on bulk or chip-scale technologies,has remained ***,we report the demonstration of an entangled photon source in an integrated silicon carbide platform for the first ***,strongly correlated photon pairs are efficiently generated at the telecom C-band wavelength through implementing spontaneous four-wave mixing in a compact microring resonator in the 4H-silicon-carbide-on-insulator *** maximum coincidence-to-accidental ratio exceeds 600 at a pump power of 0.17 mW,corresponding to a pair generation rate of(9±1)×10^(3) pairs/***-time entanglement is created and verified for such signal-idler photon pairs,with the two-photon interference fringes exhibiting a visibility larger than 99%.The heralded single-photon properties are also measured,with the heralded g^((2))(0)on the order of 10^(−3),demonstrating the SiC platform as a prospective fully integrated,complementary metal-oxide-semiconductor compatible single-photon source for quantum applications.

关键词： quantum coincidence mixing

Explainable artificial intelligence models for mineral prospectivity mapping

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science China Earth Sciences 2024年第9期67卷 2864-2875页

作者： Renguang ZUO Qiuming CHENG Ying XU Fanfan YANG Yihui XIONG Ziye wang oliver P.KREUZER State Key Laboratory of Geological Processes and Mineral Resources China University of GeosciencesWuhan 430074China School of Earth Sciences and Engineering Sun Yat-sen UniversityZhuhai 519000China Corporate Geoscience Group(CGSG) PO Box 5128 Rockingham BeachWA 6969Australia Economic Geology Research Centre(EGRU) College of Science and EngineeringJames Cook UniversityTownsvilleQLD 4811Australia

Mineral prospectivity mapping(MPM)is designed to reduce the exploration search space by combining and analyzing geological prospecting big *** geological big data are too large and complex for humans to effectively handle and *** intelligence(AI)algorithms,which are powerful tools for mining nonlinear mineralization patterns in big data obtained from mineral exploration,have demonstrated excellent performance in ***,AI-driven MPM faces several challenges,including difficult interpretability,poor generalizability,and physical *** this study,based on previous studies,we devised a novel workflow that aims to constructing more transparent and explainable artificial intelligence(XAI)models for MPM by embedding domain knowledge throughout the AI-driven MPM,from input data to model design and model *** newly proposed approach provides strong geological and conceptual leads that guide the entire AI-driven MPM model training process,thereby improving model interpretability and ***,the development of XAI models for MPM is capable of embedding prior and expert knowledge throughout the modeling process,presenting a valuable and promising area for future research designed to improve MPM.

关键词： Artificial intelligence Mineral prospectivity mapping Geological prospecting big data Domain knowledge Interpretability

Eliciting CD4-mimicking broadly neutralizing antibodies:new avenues towards the rational design of an HIV vaccine

维普期刊数据库

同方期刊数据库评论

在线全文

学校读者我要写书评

暂无评论

Signal Transduction and Targeted Therapy 2024年第3期9卷 836-838页

作者： Frauke Muecksch oliver T.Fackler Department of Infectious Diseases Heidelberg UniversityMedical Faculty HeidelbergVirologyCenter for Integrative Infectious Disease Research(CIID)HeidelbergGermany Chica and Heinz Schaller(CHS)Research Group Department of Infectious DiseasesVirologyUniversity Hospital HeidelbergHeidelbergGermany Department of Infectious Diseases Heidelberg UniversityMedical Faculty HeidelbergIntegrative VirologyCenter for Integrative Infectious Disease Research(CIID)HeidelbergGermany German Centre for Infection Research(DZIF) Partner Site HeidelbergHeidelbergGermany

In a study recently published in Cell,Saunders et *** that a new anti-HIV vaccine triggers antibody responses resembling CD4-binding site broadly neutralizing antibody precursors in rhesus macaques.1 This study provid... 详细信息

关键词： al. vaccine rational

How aromatic dissolved organic matter differs in competitiveness against organic micropollutant adsorption

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Environmental Science and Ecotechnology 2024年第5期21卷 92-102页

作者： Qi wang oliver JLechtenfeld Luuk CRietveld Jonas Schuster Mathias Ernst Roberta Hofman-Caris Jan Kaesler Chunmiao wang Min Yang Jianwei Yu Frederik Zietzschmann Key Laboratory of Drinking Water Science and Technology Research Center for Eco-Environmental SciencesChinese Academy of Sciences100085BeijingChina Delft University of Technology Department of Water ManagementPO Box 50482600GADelftthe Netherlands Department of Analytical Chemistry Research Group BioGeoOmicsHelmholtz Centre for Environmental ResearchUFZPermoserstr.1504318LeipzigGermany Berliner Wasserbetriebe LaboratoryMotardstr.3513629BerlinGermany Institute for Water Resources and Water Supply Hamburg University of TechnologyAm Schwarzenberg-Campus 321073HamburgGermany KWR Watercycle Research Institute 3433PENieuwegeinthe Netherlands ProVISCentre for Chemical Microscopy Helmholtz Centre for Environmental ResearchUFZPermoserstr.1504318LeipzigGermany Wageningen University and Research Department of Environmental TechnologyBornse Weilanden 96708 WGWageningenthe Netherlands University of Chinese Academy of Sciences 100049BeijingChina

Activated carbon is employed for the adsorption of organic micropollutants(OMPs)from water,typically present in concentrations ranging from ng L1 to mg L***,the efficacy of OMP removal is considerably deteriorated due to competitive adsorption from background dissolved organic matter(DOM),present at substantially higher concentrations in mg L*** the characteristics of competitive DOM is crucial in predicting OMP adsorption efficiencies across diverse natural *** weight(MW),aromaticity,and polarity influence DOM *** the aromaticity-related metrics,such as UV254,of low MW DOM were proposed to correlate with DOM competitiveness,the method suffers from limitations in understanding the interplay of polarity and aromaticity in determining DOM ***,we elucidate the intricate influence of aromaticity and polarity in low MW DOM competition,spanning from a fraction level to a compound level,by employing direct sample injection liquid chromatography coupled with ultrahigh-resolution Fouriertransform ion cyclotron resonance mass *** exchange resin pre-treatment eliminated 93%of UV254-active DOM,predominantly aromatic and polar DOM,and only minimally alleviated DOM *** characterization revealed that nonpolar molecular formulas(constituting 26%PAC-adsorbable DOM)with medium aromaticity contributed more to the DOM *** analysis indicated that the competitiveness of highly aromatic LMW DOM compounds was strongly counterbalanced by increased *** aromaticity-derived p-p interaction cannot facilitate the competitive adsorption of hydrophilic DOM *** results underscore the constraints of depending solely on aromaticity-based approaches as the exclusive interpretive measure for DOM *** a broader context,this study demonstrates an effect-oriented DOM analysis,elucidating counterbalancing interactions of DOM molecular properties

关键词： Activated carbon Organic micropollutants Dissolved organic matter(DOM) Multi-component adsorption Fourier-transform ion cyclotron resonance mass spectrometry(FT-ICR-MS)

Active self-training for weakly supervised 3D scene semantic segmentation

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computational Visual Media 2024年第3期10卷 425-438页

作者： Gengxin Liu oliver van Kaick Hui Huang Ruizhen Hu College of Computer Science&Software Engineering Shenzhen UniversityShenzhen 518060China School of Computer Science Carleton UniversityOttawa K1S 5B6Canada

Since the preparation of labeled datafor training semantic segmentation networks of pointclouds is a time-consuming process, weakly supervisedapproaches have been introduced to learn fromonly a small fraction of data. These methods aretypically based on learning with contrastive losses whileautomatically deriving per-point pseudo-labels from asparse set of user-annotated labels. In this paper, ourkey observation is that the selection of which samplesto annotate is as important as how these samplesare used for training. Thus, we introduce a methodfor weakly supervised segmentation of 3D scenes thatcombines self-training with active learning. Activelearning selects points for annotation that are likelyto result in improvements to the trained model, whileself-training makes efficient use of the user-providedlabels for learning the model. We demonstrate thatour approach leads to an effective method that providesimprovements in scene segmentation over previouswork and baselines, while requiring only a few userannotations.

关键词： semantic segmentation weakly supervised self-training active learning

Controlling the reaction network of Ni/silica derived conversion of bio-oil surrogate guaiacol

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Carbon Resources Conversion 2024年第1期7卷 39-60页

作者： Nils Kretzschmar oliver Busse Markus Seifert Technische Universität Dresden Faculty of Chemistry and Food Chemistry01062 DresdenGermany

Replacing fossil carbon sources with green bio-oils is a promising route to switch to a sustainable chemical industry,although their high oxygen contents are *** hydrodeoxygenation is a favored route to upgrade bio-oils to renewable fuels and basic *** this work,we investigated Ni/SiO2 catalysts with differing metal dispersity in continuous mode conversion of guaiacol with a statistical experimental design for 250℃to 400℃,2 h up to 5 h time on stream(ToS)and subsequently different residence time besides other *** low temperature(250℃)promotes cyclohexanol formation from guaiacol,high temperature(400℃)inhibits hydrogenation,leading to phenol and *** medium temperature(340℃),the selectivity for cyclohexanone *** and cyclohexanone(KA-oil)are the industrial basis for polyamide ***,we clarified the role of 2-methoxycyclohexanol(2MC)in the reaction network towards KA-oil for continuous-mode *** analysis was used to predict and optimize product selectivity and yield,leading to the best yield of cyclohexanone/-ol at 327.5℃,low ToS,medium residence time,high particle dispersity,and medium hydrogen pressure(15 bar(g)).

关键词： Hydrodeoxygenation Design of experiments Bio-oil Nickel silica catalyst Continuous mode flow reactor KA-oil Cyclohexanol Cyclohexanone

An ensemble-based likelihood ratio approach for family-based genomic risk prediction

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2018年第12期19卷 935-947页

作者： Hui AN Chang-shuai WEI oliver wang Da-hui wang Liang-wen XU Qing LU Cheng-yin YE Department of Health Management School of MedicineHangzhou Normal UniversityHangzhou 310036China Department of Biastatistics and Epidemiology University of North Texas Health Science CenterFort WorthTX 76107USA HBI Solutions lnc Palo AltoCA 94301USA Department of Preventive Medicine School of MedicineHangzhou Normal UniversityHangzhou 310036China Department of Epidemiology and Biostatistics College of Human MedicineMichigan State UniversityEast LansingMI48824USA

Objective: As one of the most popular designs used in genetic research, family-based design has been well recognized for its advantages, such as robustness against population stratification and admixture. With vast amounts of genetic data collected from family-based studies, there is a great interest in studying the role of genetic markers from the aspect of risk prediction. This study aims to develop a new statistical approach for family-based risk prediction analysis with an improved prediction accuracy compared with existing methods based on family history. Methods: In this study, we propose an ensemble-based likelihood ratio(ELR) approach, Fam-ELR, for family-based genomic risk prediction. Fam-ELR incorporates a clustered receiver operating characteristic(ROC) curve method to consider correlations among family samples, and uses a computationally efficient tree-assembling procedure for variable selection and model building. Results: Through simulations, Fam-ELR shows its robustness in various underlying disease models and pedigree structures, and attains better performance than two existing family-based risk prediction methods. In a real-data application to a family-based genome-wide dataset of conduct disorder, Fam-ELR demonstrates its ability to integrate potential risk predictors and interactions into the model for improved accuracy, especially on a genome-wide level. Conclusions: By comparing existing approaches, such as genetic risk-score approach, Fam-ELR has the capacity of incorporating genetic variants with small or moderate marginal effects and their interactions into an improved risk prediction model. Therefore, it is a robust and useful approach for high-dimensional family-based risk prediction, especially on complex disease with unknown or less known disease etiology.

关键词： Family-based study Genetic risk prediction High-dimensional data