检索结果-南通市图书馆

Volcano video data characterized and classified using computer vision and machine learning algorithms

在线全文

同方期刊数据库

学校读者我要写书评

暂无评论

Geoscience Frontiers 2020年第5期11卷 1789-1803页

作者： Alex J.C.Witsil Jeffrey b.johnson Department of Geosciences Boise State UniversityBoiseIDUSA

Video cameras are common at volcano observatories,but their utility is often limited during periods of crisis due to the large data volume from continuous acquisition and time requirements for manual *** cameras to serve as effective monitoring tools,video frames must be synthesized into relevant time series signals and further analyzed to classify and characterize observable *** this study,we use computer vision and machine learning algorithms to identify periods of volcanic activity and quantify plume rise velocities from video *** were collected at Villarrica Volcano,Chile from two visible band cameras located^17 km from the vent that recorded at 0.1 and 30 frames per second between February and April *** these two months,Villarrica exhibited a diverse range of eruptive activity,including a paroxysmal eruption on 3 *** to and after the eruption,activity included nighttime incandescence,dark and light emissions,inactivity,and periods of cloud *** quantify the color and spatial extent of plume emissions using a blob detection algorithm,whose outputs are fed into a trained artificial neural network that categorizes the observable activity into five *** shifts from primarily nighttime incandescence to ash emissions following the 3 March paroxysm,which likely relates to the reemergence of the buried lava *** periods exhibiting plume emissions are further analyzed using a row and column projection algorithm that identifies plume onsets and calculates apparent plume horizontal and vertical rise *** onsets are episodic,occurring with an average period of^50 s and suggests a puffing style of degassing,which is commonly observed at ***,the lack of clear acoustic transients in the accompanying infrasound record suggests puffing may be controlled by atmospheric effects rather than a degassing regime at the *** presented here offer a generalized toolset for volcano monito

关键词： Volcano monitoring Plume exit velocity Volcano webcam Image processing Machine learning Villarrica

Shape Control of Doped Semiconductor Nanocrystals (d-Dots)

在线全文

学校读者我要写书评

暂无评论

Nano Research 2008年第2期1卷 138-144页

作者： Ranjani Viswanatha David M.battaglia Mark E.Curtis Tetsuya D.Mishima Matthew b.johnson Xiaogang Peng Department of Chemistry&biochemistry University of ArkansasFayettevilleAR 72701USA NN-Labs LLC FayettevilleAR 72703USA Joint MRSEC at the University of Oklahoma and the University of Arkansas FayettevilleAR 72701USA Homer L.Dodge Department of Physics and Astronomy University of OklahomaNormanOK 73019USA

Formation of Mn2+-doped ZnSe quantum dots(Mn:ZnSe d-dots)with both branched and nearly spherical shapes has been *** analysis indicates that the Mn2+dopants were localized in the core of a branched *** growth of branched d-dots,rather than spherical ones,was achieved by simply varying the concentration of two organic additives,fatty acids,and fatty *** photoluminescence properties of the branched nanocrystals were explored and compared with those of the nearly spherical particles.

关键词： Doped quantum dot(d-dot) shape control photoluminescence

Intrumer:A Multi Module Distributed Explainable IDS/IPS for Securing Cloud Environment

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 579-607页

作者： Nazreen banu A S.K.b.Sangeetha Department of Computer Science and Engineering SRM Institute of Science and TechnologyVadapalani CampusChennai600026Tamil NaduIndia

The increasing use of cloud-based devices has reached the critical point of cybersecurity and unwanted network *** environments pose significant challenges in maintaining privacy and *** approaches,such as IDS,have been developed to tackle these ***,most conventional Intrusion Detection System(IDS)models struggle with unseen cyberattacks and complex high-dimensional *** fact,this paper introduces the idea of a novel distributed explainable and heterogeneous transformer-based intrusion detection system,named INTRUMER,which offers balanced accuracy,reliability,and security in cloud settings bymultiplemodulesworking together within *** traffic captured from cloud devices is first passed to the TC&TM module in which the Falcon Optimization Algorithm optimizes the feature selection process,and Naie bayes algorithm performs the classification of *** selected features are classified further and are forwarded to the Heterogeneous Attention Transformer(HAT)*** this module,the contextual interactions of the network traffic are taken into account to classify them as normal or malicious *** classified results are further analyzed by the Explainable Prevention Module(XPM)to ensure trustworthiness by providing interpretable *** the explanations fromthe classifier,emergency alarms are transmitted to nearby IDSmodules,servers,and underlying cloud devices for the enhancement of preventive *** experiments on benchmark IDS datasets CICIDS 2017,Honeypots,and NSL-KDD were conducted to demonstrate the efficiency of the INTRUMER model in detecting network trafficwith high accuracy for different *** outperforms state-of-the-art approaches,obtaining better performance metrics:98.7%accuracy,97.5%precision,96.3%recall,and 97.8%*** results validate the robustness and effectiveness of INTRUMER in securing diverse cloud environments against sophisticated cyber threats.

关键词： Cloud computing intrusion detection system transformers and explainable artificial intelligence(XAI)

Neuroinflammation revisited through the microglial lens

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Neural Regeneration Research 2025年第7期20卷 1989-1990页

作者： Renato Socodato João b.Relvas Institute of Research and Innovation in Health(i3S)and Institute for Molecular and Cell biology(IbMC) University of PortoPortoPortugal Department of biomedicine Faculty of Medicine of the University of Porto(FMUP)PortoPortugal

Neuroimmunology is emerging as a pivotal field,shedding light on the intricate dialogues between the central nervous system(CNS)and the immune *** exploration is particularly significant in understanding microglia,the CNS’s innate immune cells,beyond the conventional conflation of“neuroinflammation”and“microglial activation.”This conflation has clouded the true complexity of these processes,potentially stalling scientific progress and the development of new *** challenge the long-standing perspectives that have oversimplified these interactions,advocating for a deeper exploration of the dynamic relationship between neuroinflammation and microglial *** dissecting specific molecular pathways,we aim to illuminate their elaborate roles in neuroinflammatory responses,especially in the context of Alzheimer’s disease(AD).Here,neuroinflammation is not merely a passive observer or a direct antagonist but a complex agent in the disease’s *** article calls for a significant paradigm shift towards an integrative,multi-omics approach to *** such a comprehensive framework is crucial for advancing our understanding of neuroinflammatory conditions and paving the way for targeted therapeutic strategies for brain diseases.

关键词： inflammation simplified activation

Federated Learning’s Role in Next-Gen TV Ad Optimization

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2025年第1期82卷 675-712页

作者： Gabriela Dobrita Simona-Vasilica Oprea Adela bâra Department of Economic Informatics and Cybernetics Bucharest University of Economic StudiesBucharest010374Romania

In the rapidly evolving landscape of television advertising,optimizing ad schedules to maximize viewer engagement and revenue has become *** methods often operate in silos,limiting the potential insights gained from broader data analysis due to concerns over privacy and data *** article introduces a novel approach that leverages Federated Learning(FL)to enhance TV ad schedule optimization,combining the strengths of local optimization techniques with the power of global Machine Learning(ML)models to uncover actionable insights without compromising data *** combines linear programming for initial ads scheduling optimization with ML—specifically,a K-Nearest Neighbors(KNN)model—for predicting ad spot *** into account the diversity and the difficulty of the ad-scheduling problem,we propose a prescriptivepredictive approach in which first the position of the ads is optimized(using Google’s OR-Tools CP-SAT)and then the scheduled position of all ads will be the result of the optimization ***,this output becomes the target of a predictive task that predicts the position of new entries based on their characteristics ensuring the implementation of the scheduling at large scale(using KNN,Light Gradient boosting Machine and Random Forest).Furthermore,we explore the integration of FL to enhance predictive accuracy and strategic insight across different broadcasting networks while preserving data *** FL approach resulted in 8750 ads being precisely matched to their optimal category placements,showcasing an alignment with the intended diversity ***,there was a minimal deviation observed,with 1133 ads positioned within a one-category variance from their ideal placement in the original dataset.

关键词： Ad scheduling prescriptive-predictive approach federated learning KNN

Exploring DFT+U parameter space with a bayesian calibration assisted by Markov chain Monte Carlo sampling

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

npj Computational Materials 2021年第1期7卷 1661-1669页

作者： Pedram Tavadze Reese boucher Guillermo Avendaño-Franco Keenan X.Kocan Sobhit Singh Viviana Dovale-Farelo Wilfredo Ibarra-Hernández Matthew b.johnson David S.Mebane Aldo H.Romero Department of Physics and Astronomy West Virginia UniversityMorgantownWVUSA Department of Mechanical and Aerospace Engineering West Virginia UniversityMorgantownWVUSA Department of Physics and Astronomy Rutgers UniversityPiscatawayNJUSA Facultad de Ingeniería Benemérita Universidad Autónoma de PueblaApdo.Postal J-39PueblaPue.72570México

The density-functional theory is widely used to predict the physical properties of ***,it usually fails for strongly correlated materials.A popular solution is to use the Hubbard correction to treat strongly correlated electronic ***,the values of the Hubbard U and J parameters are initially unknown,and they can vary from one material to *** this semi-empirical study,we explore the U and J parameter space of a group of iron-based compounds to simultaneously improve the prediction of physical properties(volume,magnetic moment,and bandgap).We used a bayesian calibration assisted by Markov chain Monte Carlo sampling for three different exchange-correlation functionals(LDA,PbE,and PbEsol).We found that LDA requires the largest U *** has the smallest standard deviation and its U and J parameters are the most transferable to other iron-based ***,PbE predicts lattice parameters reasonably well without the Hubbard correction.

关键词： materials Hubbard parameter

孕前和孕期室外空气污染与温度暴露对儿童肺炎的影响

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

孕前和孕期室外空气污染与温度暴露对儿童肺炎的影响

作者： McSherry b.johnson（约翰逊）中南大学

学位级别：硕士

背景:肺炎是一种影响肺部的严重呼吸道感染,在全球范围内导致儿童发病和死亡。在全世界560万名五岁以下儿童的死亡中,肺炎占16%,95%以上因肺炎而死亡的儿童主要发生在低收入和中等收入国家。低收入国家与其他大多数国家相比,经济欠发达... 详细信息

背景:肺炎是一种影响肺部的严重呼吸道感染,在全球范围内导致儿童发病和死亡。在全世界560万名五岁以下儿童的死亡中,肺炎占16%,95%以上因肺炎而死亡的儿童主要发生在低收入和中等收入国家。低收入国家与其他大多数国家相比,经济欠发达,工业有限,在教育和健康方面的花费极少,如贫困、营养不良、卫生条件差、家庭环境匮乏等因素,使儿童肺炎的患病率更高。来自低收入国家的儿童死于急性呼吸道感染(如肺炎)的机会比发达国家的儿童高18倍。日益增长的城市化、工业化和经济发展导致了中国城市空气质量的严重下降,空气污染不断恶化,如大气污染物的可吸入颗粒物、二氧化硫和二氧化氮等。过去几十年的经济增长,特别是城市地区的能源消费增长,不可避免的增加了环境空气污染。大多数发展中国家,包括中国,儿童肺炎发病率极高。根据2010年至2012年进行的"中国-儿童-家庭健康(CCHH)"调查统计,中国城市学龄前儿童的肺炎发病率在24.5%至41.7%之间。尽管近年来肺炎的治疗取得了重大进展,但该疾病仍然是儿童死亡的一个重要原因。以往许多研究调查了儿童肺炎的危险因素。这些研究主要集中在个人和社会因素上,如营养不良、父母教育、母亲年龄、母乳喂养史、低出生体重和过度拥挤等。随着全球气候的变化,关于环境因素与儿童肺炎之间的研究越来越多。环境问题已经成为世界上最大的挑战之一,环境空气污染受到公众更多的关注。气候变化使人们更加关注环境温度对呼吸道死亡率的影响。气候的变化对后代的健康和生存产生了重大影响。环境温度和温差是与气候变化相关的关键气象指标,它们被认为是呼吸道疾病的独立风险因素。儿童肺炎与气候变化之间的联系机制很复杂。有证据表明,儿童肺炎是一种复杂的疾病,既有传染病的原因,也有环境的原因,可以影响对某些呼吸道疾病的易感性。由于中国环境空气污染模式的异质性和高暴露水平,与工业化国家的环境空气污染有很大的不同,因此研究孕前和产前环境空气污染暴露和环境温度暴露对中国儿童肺炎的影响至关重要。然而,评估孕前和产前暴露于环境空气污染和环境温度会如何影响中国学龄前儿童肺炎发展的研究证据仍然有限。因此,本研究探讨了孕前和产前暴露于环境空气污染和温度指标对儿童患肺炎风险的潜在交互作用。这导致了主要影响因素的确定,并制定了早期预防和有效减少儿童肺炎的策略。目的:研究孕前和产前暴露于环境空气污染对儿童肺炎的影响,探讨孕前和产前暴露于环境温度指标(包括平均温度和温差)导致的儿童肺炎风险,并研究孕前和产前暴露于环境空气污染与温度指标(温度和DTV)之间对儿童肺炎风险的潜在交互作用。方法:在中国长沙对1,510名0-12岁的儿童进行了一项病例对照研究。儿童肺炎的数据由研究者和两名经过医学培训的研究助理使用标准化的调查问卷从中南大学湘雅医院儿科的电子病历中获得。我们招募了699名确诊为肺炎的儿童,并将其定为病例组,811名无任何肺炎病史的健康儿童登记体检,作为对照组。从医院的医疗记录中,我们获得了相关的潜在混杂因素,包括以下两类:个人因素(性别、年龄、出生季节、胎龄、分娩方式和出生体重)和家庭相关因素(包括父母过敏)。父母过敏性被定义为孩子的母亲和/或父亲有任何过敏性疾病。该研究的暴露时间窗口包括两个主要时期:怀孕前和怀孕期间。孕前时期被分为两个不同的时间窗口:怀孕前一年和怀孕前三个月。怀孕期间又分为四个时间窗口:第一围产期(从怀孕的第一个月开始到三个月),第二围产期(怀孕的第四个月到第六个月之间),第三围产期(从怀孕的第七个月到出生)和整个怀孕期间(从怀孕的第一个月到最后一个月)。怀孕前到孕期,儿童家庭住址只发生了短距离移动。每个儿童对环境空气污染的个体暴露由长沙记录的三种污染物代表,如二氧化硫(SO)、二氧化氮(NO)和空气动力学直径≤10微米的颗粒物(PM)。这些污染物的浓度是由长沙市环境保护局在2003-2019年期间在位于长沙不同地区的七个环境空气质量监测站记录的。根据监测站的日期,采用反距离加权法(IDW)来计算每个儿童的日暴露量。此外,通过平均每个孩子在怀孕前3个月、怀孕前一年、第一围产期、第二围产期、第三围产期和整个怀孕期间的空气污染物浓度,计算出三个空气污染物的个体暴露量。我们从长沙市气象局报告的8个气象监测站获得了2003-2019年期间的高温和低温数据(包括平均温度、最高温度和最低温度)。高低温度被定义为最高温度和最低温度之差。我们使用八个站点的平均温度和DTV来计算每个时间窗口的个人暴露于温度指标。我们进行了单变量分析,以确定潜在协变量与儿童肺炎之间的关联。我们还进行了评估个人在不同时间窗口对户外空气污染和温度指标的暴露,以及病例组和对照组之间的差异的分析。我们使用多元logistic回归模型来评估孕前和产前室外空气污染和温度暴露与儿童肺炎之间的关系,并对所考虑的协变量进行调整

关键词：空气污染环境温度生命早期暴露儿童肺炎

biodiversity and interactions of acidophiles:Key to understanding and optimizing microbial processing of ores and concentrates

同方学位论文库评论

在线全文

同方学位论文库

学校读者我要写书评

暂无评论

中国有色金属学会会刊：英文版 2008年第6期18卷 1367-1373页

作者： D.b.johnson School of biological Sciences Bangor University

采矿公司为从低档矿石恢复贱、宝贵的金属，并且为重新调停变得逐渐地知道 microbiological 途径的潜力从操作和放弃的矿地点排干的酸的、充满金属的废水。生物系统出现很多环境并且(有时) 超越常规途径的节俭的优点尽管他们的申请是，... 详细信息

采矿公司为从低档矿石恢复贱、宝贵的金属，并且为重新调停变得逐渐地知道 microbiological 途径的潜力从操作和放弃的矿地点排干的酸的、充满金属的废水。生物系统出现很多环境并且(有时) 超越常规途径的节俭的优点尽管他们的申请是，例如热冶学，别处于每种状况拨出。矿物质用微生物处理为提取黄金，铜，铀和钴被利用了，并且当前的开发正在指向另外的贱金属。最近，我们 biomining 环境，并且微生物怎么与对方一起交往的微生物学的差异的知识和理解有大增加。从模仿了搅动的坦克和堆生物反应器系统的实验室实验的结果证明了微生物引起的协会比氧化矿物质的 acidophiles 的纯文化更柔韧，并且也趋于在 bioleaching 和氧化简历的矿石更有效并且专注。纸论述了性质的简明评论和涉及硫化物矿物质的氧化的微生物引起的协会的相互作用，并且这些怎么可能被改编在 biomining 操作遇见未来挑战。

关键词：嗜酸细胞生物采矿生物多样性微生物加工

Multistage interband cascade photovoltaic devices with a bandgap of 0.23 eV operating above room temperature

在线全文

学校读者我要写书评

暂无评论

Chinese Science bulletin 2014年第10期59卷 950-955页

作者： Hao Ye Hossein Lotfi Lu Li Robert T.Hinkey Rui Q.Yang Lin Lei Joel C.Keay Matthew b.johnson Tetsuya D.Mishima Michael b.Santos School of Electrical and Computer Engineering University of Oklahoma Norman OK USA Homer L. Dodge Department of Physics and Astronomy University of Oklahoma Norman OK USA

Interband cascade(IC)photovoltaic(PV)device structures,consisting of multiple discrete InAs/GaSb superlattice absorbers sandwiched between electron and hole barriers,were grown by molecular beam *** of the molecular beam epitaxy growth and material characterization of the structures are *** discrete absorber architecture enables certain advantages,such as high open-circuit voltage,high collection efficiency,high operating temperature,and smooth integration of cascade stages with different *** two-and three-stage ICPV devices presented in this article operate at room temperature with substantial open-circuit voltages at a cutoff wavelength of 5.3 lm(corresponding to a bandgap of 0.23 eV),the longest ever reported for room temperature PV *** device characteristics indicate a high level of current matching and demonstrate the advantages of the interband cascade approach in thermophotovoltaic cell design.

关键词： InAs GaSb superlattice Thermophotovoltaic Interband cascade devices