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Underwater Pulse Waveform Recognition Based on Hash Aggregate Discriminant Network

Journal of Ocean University of China 2024年第3期23卷 654-660页

作者： WANG Fangchen zhong guoqiang WANG Liang College of Computer Science and Technology Ocean University of ChinaQingdao 266100China College of Marine Technology Ocean University of ChinaQingdao 266100China

Underwater pulse waveform recognition is an important method for underwater object *** existing works focus on the application of traditional pattern recognition methods,which ignore the time-and space-varying characteristics in sound propagation channels and cannot easily extract valuable waveform *** propagation channels in seawater are time-and space-varying convolutional *** the extraction of the waveform features of underwater acoustic signals,the effect of high-accuracy underwater acoustic signal recognition is identified by eliminating the influence of time-and space-varying convolutional channels to the greatest extent *** propose a hash aggregate discriminative network(HADN),which combines hash learning and deep learning to minimize the time-and space-varying effects on convolutional channels and adaptively learns effective underwater waveform features to achieve high-accuracy underwater pulse waveform *** the extraction of the hash features of acoustic signals,a discrete constraint between clusters within a hash feature class is *** constraint can ensure that the influence of convolutional channels on hash features is *** addition,we design a new loss function called aggregate discriminative loss(AD-loss).The use of AD-loss and softmax-loss can increase the discriminativeness of the learned hash *** results show that on pool and ocean datasets,which were collected in pools and oceans,respectively,by using acoustic collectors,the proposed HADN performs better than other comparative models in terms of accuracy and mAP.

关键词： convolutional channel hash aggregate discriminative network aggregate discriminant loss waveform recognition

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Porous metal oxides in the role of electrochemical CO_(2) reduction reaction

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Journal of Energy Chemistry 2024年第1期88卷 373-398,I0009页

作者： Ziqi Zhang Jinyun Xu Yu Zhang Liping Zhao Ming Li guoqiang zhong Di Zhao Minjing Li Xudong Hu Wenju Zhu Chunming Zheng Xiaohong Sun School of Chemical Engineering and Technology Tianjin Key Laboratory of Green Chemical Technology and Process EngineeringState Key Laboratory of Separation Membrane and Membrane ProcessesTiangong UniversityTianjin 300387China School of Materials Science and Engineering Key Laboratory of Advanced Ceramics and Machining TechnologyMinistry of EducationTianjin UniversityTianjin 300072China

The global energy-related CO_(2) emissions have rapidly increased as the world economy heavily relied on fossil *** paper explores the pressing challenge of CO_(2) emissions and highlights the role of porous metal oxide materials in the electrocatalytic reduction of CO_(2)(CO_(2)RR).The focus is on the development of robust and selective catalysts,particularly metal and metal-oxide-based *** metal oxides offer high surface area,enhancing the accessibility to active sites and improving reaction *** tunability of these materials allows for tailored catalytic behavior,targeting optimized reaction mechanisms for CO_(2)*** work also discusses the various synthesis strategies and identifies key structural and compositional features,addressing challenges like high overpotential,poor selectivity,and low *** on these insights,we suggest avenues for future research on porous metal oxide materials for electrochemical CO_(2) reduction.

关键词： CO_(2)reduction Carbon dioxide Transformation Porous metal oxides Electrocatalysis

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Panoptic UAV:Panoptic Segmentation of UAV Images for Marine Environment Monitoring

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工程与科学中的计算机建模(英文) 2024年第1期138卷 1001-1014页

作者： Yuling Dou Fengqin Yao Xiandong Wang Liang Qu Long Chen Zhiwei Xu Laihui Ding Leon Bevan Bullock guoqiang zhong Shengke Wang School of Computer Science and Technology Ocean University of ChinaQingdao266100China North China Sea Environmental Monitoring Center State Oceanic AdministrationQingdao266000China Department of Informatics University of LeicesterLeicesterLE17RHUK Research and Development Department Shandong Willand Intelligent Technology Co.Ltd.Qingdao266102China

UAV marine monitoring plays an essential role in marine environmental protection because of its flexibility and convenience,low cost and convenient *** marine environmental monitoring,the similarity between objects such as oil spill and sea surface,Spartina alterniflora and algae is high,and the effect of the general segmentation algorithm is poor,which brings new challenges to the segmentation of UAV marine *** segmentation can do object detection and semantic segmentation at the same time,which can well solve the polymorphism problem of objects in UAV ocean ***,there are few studies on UAV marine image recognition with panoptic *** addition,there are no publicly available panoptic segmentation datasets for UAV *** this work,we collect and annotate UAV images to form a panoptic segmentation UAV dataset named UAV-OUC-SEG and propose a panoptic segmentation method named ***,to deal with the large intraclass variability in scale,deformable convolution and CBAM attention mechanism are employed in the backbone to obtain more accurate ***,due to the complexity and diversity of marine images,boundary masks by the Laplacian operator equation from the ground truth are merged into feature maps to improve boundary segmentation *** demonstrate the advantages of PanopticUAV beyond the most other advanced approaches on the UAV-OUC-SEG dataset.

关键词： Panoptic segmentation UAV marine monitoring attention mechanism boundary mask enhancement

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微米板Sm_(2)O_(3)填料增强HDPE复合材料的制备及中子和伽马辐射屏蔽性能

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高等学校化学学报 2024年第9期45卷 25-35页

作者：鲁义东霍志鹏张宏钟国强中国科学院合肥物质科学研究院等离子体物理研究所合肥230031 中国科学技术大学研究生院科学岛分院合肥230026

分别采用合成的Sm_(2)O_(3)(Sm_(2)O_(3)-I)填料与商用Sm_(2)O_(3)(Sm_(2)O_(3)-II)填料制备了Sm_(2)O_(3)/碳化硼(B_(4)C)/高密度聚乙烯(HDPE)复合材料,并用于中子和伽马辐射屏蔽.X射线衍射(XRD)结果表明,Sm_(2)O_(3)-I填料属于立方晶系、体心立方晶格、Ia-3(206)空间群;而Sm_(2)O_(3)-II填料中存在两种物相,一种为单斜晶系、简单单斜格子、C2/m(12)空间群,另一种为立方晶系、体心立方晶格、Ia-3(206)空间群.场发射扫描电子显微镜(FESEM)和比表面积分析结果表明,Sm_(2)O_(3)-I填料微观形貌为带狭缝的微米板结构,其Brunauer-Emmett-Teller(BET)比表面积(SBET)为5.15 m^(2)/g;Sm_(2)O_(3)-II填料中存在由两种物相导致的板状团聚体与无特定形貌团聚体两种微观形貌,其SBET为2.47 m^(2)/g.合成的微米板Sm_(2)O_(3)-I/B_(4)C/HDPE复合材料的熔融温度(T_(p))和屈服应力(σ_(y))分别为140.6℃和22.6 MPa,优于商用Sm_(2)O_(3)-II/B_(4)C/HDPE复合材料.中子和伽马辐射屏蔽测试结果表明,尺寸均一且具有高BET比表面积的微米板Sm_(2)O_(3)-I填料可提高复合材料的中子和伽马辐射屏蔽性能.厚度为15 cm的10%Sm_(2)O_(3)-I/20%B_(4)C/70%HDPE(质量分数)复合材料对^(252)Cf中子源的中子屏蔽率达98.4%,对^(137)Cs伽马源的伽马辐射屏蔽率达71.7%,均高于采用商用Sm_(2)O_(3)-II作为填料的复合材料.

关键词： Sm_(2)O_(3) 复合材料中子伽马辐射屏蔽

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屏蔽伽马射线高Z复合材料

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化学进展 2024年第7期36卷 1102-1116页

作者：陈左阳霍志鹏张宏钟国强中国科学院合肥物质科学研究院合肥230031 中国科学技术大学合肥230026

随着科技的发展,核技术在能源、医学、航空航天等领域的应用越来越广泛。然而,核技术应用产生的高能伽马射线具有很强的穿透性并且能使人体细胞发生电离,会对人体健康造成损害,因此高效核辐射防护材料的研发尤为重要。材料的伽马屏蔽性... 详细信息

随着科技的发展,核技术在能源、医学、航空航天等领域的应用越来越广泛。然而,核技术应用产生的高能伽马射线具有很强的穿透性并且能使人体细胞发生电离,会对人体健康造成损害,因此高效核辐射防护材料的研发尤为重要。材料的伽马屏蔽性能与其密度和有效原子序数直接相关,因此研究人员将高原子序数(高Z)的化合物作为填料,掺杂到不同的基体材料中制成了各种复合屏蔽材料。本文阐述了伽马射线和物质相互作用的三种基本物理效应,按照玻璃基、聚合物基和金属基这三类基体材料,分类介绍了高Z伽马射线复合屏蔽材料的研究进展,并总结存在的问题和解决方案。

关键词：高原子序数辐射屏蔽复合材料伽马射线

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合理应用抗肿瘤坏死因子α单克隆抗体治疗炎症性肠病

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中华消化杂志 2024年第1期44卷 33-37页

作者：李明松师润洁钟国强广州医科大学附属第三医院消化内科、广东省产科重大疾病重点实验室、广东省妇产疾病临床医学研究中心广州510150

炎症性肠病(IBD)是一种主要累及肠道的慢性、非特异性、炎症性疾病。由于具体病因和发生、发展机制尚未完全明确, IBD的诊断没有金标准, 治疗也没有标准方案, 更无法治愈, 只能够对临床表现进行对症治疗。目前IBD的治疗以生物制剂和小... 详细信息

炎症性肠病(IBD)是一种主要累及肠道的慢性、非特异性、炎症性疾病。由于具体病因和发生、发展机制尚未完全明确, IBD的诊断没有金标准, 治疗也没有标准方案, 更无法治愈, 只能够对临床表现进行对症治疗。目前IBD的治疗以生物制剂和小分子药物为主, 其中, 抗肿瘤坏死因子α(TNF-α)单克隆抗体上市最早, 临床医师对其应用经验最丰富。现对抗TNF-α单克隆抗体治疗IBD的指征、疗效、安全性、便捷性等进行归纳, 以期为临床决策提供参考。

关键词：炎症性肠病治疗抗肿瘤坏死因子α单克隆抗体疗效安全性

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基于4H-SiC探测器多球谱仪的聚变中子能谱测量研究

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核技术 2024年第9期47卷 77-84页

作者：张明强钟国强黄娟常加峰杜勤陈传凯陆洋陈乐中国科学院合肥物质科学研究院等离子体物理研究所合肥230031 中国科学技术大学合肥230026 合肥综合性国家科学中心能源研究院合肥230051 安徽省辐射环境监督站合肥230071 安徽省合肥生态环境监测中心合肥230601

Bonner多球谱仪作为主要用于测量中子能谱和剂量的仪器,对于聚变装置的辐射监测与防护具有重要意义。为了研究超导托卡马克(Experimental Advanced Superconducting Tokamak,EAST)在中性束注入(Neutral Beam Injector,NBI)加热实验条件... 详细信息

Bonner多球谱仪作为主要用于测量中子能谱和剂量的仪器,对于聚变装置的辐射监测与防护具有重要意义。为了研究超导托卡马克(Experimental Advanced Superconducting Tokamak,EAST)在中性束注入(Neutral Beam Injector,NBI)加热实验条件下的中子能谱和剂量当量,研制了一套由涂有6LiF的4H-SiC半导体探测器和8个慢化球组成的Bonner中子多球谱仪,在相应放电实验中进行了实验测量。通过与EAST上中子注量监测结果进行源强归一化处理,并结合模拟计算获得的每个慢化球中子响应函数,利用最大熵程序解算出大厅内部中子能谱分布。进一步通过中子注量-剂量转化系数获得中子剂量当量,并与蒙特卡罗方法模拟计算的主机大厅内相应位置的中子能谱和剂量当量进行比较,归一化聚变中子源项下测量位置的中子注量与模拟值的比值为0.98;归一化聚变中子源项下测量位置的周围剂量当量与模拟值的比值为1.05。对比结果验证了该多球谱仪在EAST装置上初步应用的可靠性。

关键词： Bonner多球谱仪 4H-SiC探测器中子能谱 EAST

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Tandem hidden Markov models using deep belief networks for offline handwriting recognition

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Frontiers of Information Technology & Electronic Engineering 2017年第7期18卷 978-988页

作者： Partha Pratim ROY guoqiang zhong Mohamed CHERIET Department of Computer Science & Engineering Indian Institute of Technology Roorkee Roorkee 24 766Z India Department of Computer Science and Technology Ocean University of China Qingdao 266100 China Synchromedia Laboratory Ecole de Technologie Supérieure Montreal H3C 1K3 Canada

Unconstrained offiine handwriting recognition is a challenging task in the areas of document analysis and pattern recognition. In recent years, to sufficiently exploit the supervisory information hidden in document images, much effort has been made to integrate multi-layer perceptrons （MLPs） in either a hybrid or a tandem fashion into hidden Markov models （HMMs）. However, due to the weak learnability of MLPs, the learnt features are not necessarily optimal for subsequent recognition tasks. In this paper, we propose a deep architecture-based tandem approach for unconstrained offiine handwriting recognition. In the proposed model, deep belief networks arc adopted to learn the compact representations of sequential data, while HMMs are applied for （sub-）word recognition. We evaluate the proposed model on two publicly available datasets, i.e., RIMES and IFN/ENIT, which are based on Latin and Arabic languages respectively, and one dataset collected by ourselves called Devanagari （all Indian script）. Extensive experiments show the advantage of the proposed model, especially over the MLP-HMMs taudem approaches.

关键词： Handwriting recognition Hidden Markov models Deep learning Deep belief networks Tandemapproach

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EAST托卡马克中子与伽马在线监测研究

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核科学与工程 2024年第3期44卷 711-721页

作者：李成勋霍志鹏钟国强胡立群中国科学技术大学安徽合肥230026 中国科学院合肥物质科学研究院安徽合肥230031

为了实现对实验型先进全超导托卡马克(Experimental Advanced Superconducting Tokamak, EAST)装置聚变产物中子与γ射线的有效监测,建立了一套核辐射在线监测系统。在装置大厅内外区域共布置13个监测点,根据装置大厅内外辐射强度的差异... 详细信息

为了实现对实验型先进全超导托卡马克(Experimental Advanced Superconducting Tokamak, EAST)装置聚变产物中子与γ射线的有效监测,建立了一套核辐射在线监测系统。在装置大厅内外区域共布置13个监测点,根据装置大厅内外辐射强度的差异,分别采用探测范围广、时间响应快和探测灵敏度高、工作稳定性强相结合的BF3正比计数管和氩气电离室。脉冲信号经前置放大器、运算放大器、脉冲甄别与成形后送入单片机处理,通过双绞线与以太网的混合组网方式将数据传输到采集机,利用LabVIEW采集软件实现对中子与γ射线实时剂量率及累积剂量的采集与存储。监测数据表明,放电时大厅内中子和γ射线剂量率在短时间快速升高,且距离主机越近剂量率越大。而大厅外辐射剂量率始终处于极低水平,几乎不受脉冲放电的影响。该监测系统满足了EAST托卡马克装置辐射监测需求,确保了人员与周围环境辐射安全,保障了聚变装置安全有效运行。

关键词： EAST 核辐射中子 γ射线监测系统

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Sea State Bias Estimation with Least Absolute Shrinkage and Selection Operator(LASSO)

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Journal of Ocean University of China 2018年第5期17卷 1019-1025页

作者： zhong guoqiang LIU Benxiu GUO Yingting MIAO Hongli College of Computer Science and Technology Ocean University of China

With the sea-level rising,the measurement of sea surface height(SSH) is attracting more and more attention in the area of *** radar altimeter is usually used to measure the ***,deviation between the measured value and the actual one always *** others,the sea state bias(SSB) is a main reason to cause the *** general,one needs to estimate SSB first to correct the measured ***,existing SSB estimation methods more or less have shortcomings,such as with many parameters,high prediction error and long training *** this paper,we introduce an effective and efficient linear model called LASSO to the SSB *** LASSO algorithm minimizes the residual sum of squares under the condition that the sum of the absolute values of each coefficient is less than a certain *** the implementation of LASSO,we use the significant wave height and wind speed to fit the LASSO ***,the applied model has only 3 parameters,corresponding to the two inputs and a *** results on the data of JASON-2,JASON-3,T/P and HY-2 radar altimetry show that LASSO performs better than geophysical data records(GDR) and ordinary least squares(OLS) ***,from the running time,we can see that LASSO is very efficient.

关键词： sea surface height sea state bias LASSO significant wave height wind speed

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