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Journal of Computer science & technology 2017年第3期32卷 443-456页

作者： xu-Ran Zhao xun wang Qi-Chao chen school of Computer and Information Engineering Zhejiang Gongshang University Hangzhou 310018 China

Deep convolutional neural networks （DCNNs） based methods recently keep setting new records on the tasks of predicting depth maps from monocular images. When dealing with video-based applications such as 2D （2-dimensional） to 3D （3-dimensional） video conversion, however, these approaches tend to produce temporally inconsistent depth maps, since their CNN models are optimized over single frames. In this paper, we address this problem by introducing a novel spatial-temporal conditional random fields （CRF） model into the DCNN architecture, which is able to enforce temporal consistency between depth map estimations over consecutive video frames. In our approach, temporally consistent superpixel （TSP） is first applied to an image sequence to establish the correspondence of targets in consecutive frames. A DCNN is then used to regress the depth value of each temporal superpixel, followed by a spatial-temporal CRF layer to model the relationship of the estimated depths in both spatial and temporal domains. The parameters in both DCNN and CRF models are jointly optimized with back propagation. Experimental results show that our approach not only is able to significantly enhance the temporal consistency of estimated depth maps over existing single-frame-based approaches, but also improves the depth estimation accuracy in terms of various evaluation metrics.

关键词： depth estimation temporal consistency convolutional neural network conditional random fields

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基于胶囊网络的异常多分类模型

计算机工程与科学 2024年第3期46卷 427-439页

作者：阳予晋王堃陈志刚徐悦李斌中南大学计算机学院湖南长沙410083 国网宁夏电力有限公司信息通信公司宁夏银川753000

国网公司日益庞大的服务器集群产生的大量生产运行数据,以及实时分析各类设备、系统产生的海量监控数据成为电力IT运维工作的新挑战。异常检测技术作为智能电网信息运维工作的关键技术,可以有效检测运维故障并及时告警,避免损坏敏感设... 详细信息

国网公司日益庞大的服务器集群产生的大量生产运行数据,以及实时分析各类设备、系统产生的海量监控数据成为电力IT运维工作的新挑战。异常检测技术作为智能电网信息运维工作的关键技术,可以有效检测运维故障并及时告警,避免损坏敏感设备。目前一些传统异常检测方法检测的异常种类少且精度低,导致故障发现不及时。为了应对这一挑战,提出了基于胶囊网络的多维时间序列异常多分类模型NNCapsNet。首先,应用无监督算法结合专家知识对电网营销业务应用服务器性能监控数据进行预处理和标注。其次,引入胶囊网络进行分类和异常检测。五折交叉验证的实验结果表明,NNCapsNet在包含15类异常的数据集上实现了91.21%的平均分类准确度。还在包含2万条监控数据的数据集上与4个基准模型进行了对比,NNCapsNet在关键评估指标上均取得了较好的结果。

关键词：监测数据电力IT运维异常检测胶囊网络多维时间序列分析无监督算法

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Global regularity of optimal mappings in non-convex domains

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science china Mathematics 2019年第11期62卷 2057-2072页

作者： Shibing chen Jiakun Liu xu-Jia wang school of Mathematical sciences University of Science and Technology of ChinaHefei 230026China school of Mathematics and applied Statistics University of WollongongWollongongNSW 2522Australia Centre for Mathematics and Its Applications The Australian National UniversityCanberraACT 0200Australia

In this paper, we establish a global regularity result for the optimal transport problem with the quadratic cost, where the domains may not be convex. This result is obtained by a perturbation argument,using a recent ... 详细信息

关键词： Monge-Ampère equation optimal transportation global regularity

Tracking historical storm records from high-barrier lagoon deposits on the southeastern coast of Hainan Island,china

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Acta Oceanologica Sinica 2021年第11期40卷 162-175页

作者： Liang Zhou Xiaomei xu Yaping wang jianjun Jia Yang Yang Gaocong Li Changliang Tong Shu Gao school of Geography Geomaticsand PlanningJiangsu Normal UniversityXuzhou 221116China Hainan Key Laboratory of Marine Geological Resources and Environment Haikou 570206China State Key Laboratory of Estuarine and Coastal Research East China Normal UniversityShanghai 200046China Ministry of Education Key Laboratory for Coast and Island Development Nanjing UniversityNanjing 210023China school of Marine science and Engineering Nanjing Normal UniversityNanjing 210046China Department of Marine technology Guangdong Ocean UniversityZhanjiang 524088China

The relationship between storm activity and global warming remains *** better understand storm–climate relationships,coastal lagoon deposits are increasingly being investigated because they could provide high-resolution storm records long enough to cover past climate ***,site-specific sediment dynamics and high barriers may bias storm ***,we aimed to investigate these factors through the reconstruction of five distinct storm records(XCL-01,XC-03,XC-06,XC-07,XC-08)from different water depths in a lagoon with a high barrier(i.e.,Xincun Lagoon of Hainan Island).Sediment cores were characterized using high-resolution grain size and XRF measurements,to identify storm *** data were coupled with a numerical simulation to obtain bed shear stress data with high-spatial resolution to better understand storm-induced sediment transport mechanisms.^(210) Pb dating and Pb pollution chronostratigraphic markers indicated that the chronology of the storm deposit sequences of the cores span the period between 117 a and 348 *** grain size and XRF results indicated numerous,highly variable and short-duration fluctuations,suggesting that storm-induced coarse-grained sediments were deposited at these core *** inconsistent storm events recorded in these cores suggest that these sites have different preservation potentials for storm ***,the consistence between storm sediment records and historical documents for Core XCL-01 indicates that high-barrier lagoons could provide long-term storm event records with high preservation potential.

关键词： storm deposits preservation potential sediment dynamics high-barrier lagoon Hainan Island

Microfluidics-generated graphene oxide microspheres and their application to removal of perfluorooctane sulfonate from polluted water

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Nano Research 2016年第3期9卷 866-875页

作者： ChangweiZhao Jing Fan Dong chen Yi xu Tao wang State Key Laboratory of Environmental Aquatic Chemistry Research Center for Eco-Environmental Sciences Chinese Academy ot Sciences Beijing 100085 China school of Engineering and applied sciences Harvard University 29 Oxford St. Cambridge MA 02138 USA The State Key Laboratory of Chemical Engineering Department of Chemical Engineering Tsinghua University Beijing 100084 China

Monodisperse graphene oxide （GO） microspheres were synthesized via microfluidics technology as a novel adsorbent for rapid （in 2 rain） and high efficiency （98%） removal of perfluorooctane sulfonate （PFOS） from water. This novel material is a potential solution for treatment of bioaccumulative organic polluted water. To achieve improved performance, Mg2＋ was introduced into GO, and the metal composite exhibited significantly improved PFOS removal effidency owing to bridging and interaction between Mg~＋ and the PFOS molecules, which was supported by density functional theory and X-ray photoelectron spectroscopy （XPS）. This facile strategy may be extended to the synthesis of other spheres with unique structural features for application in water treatment.

关键词： microfluidic graphene oxide perfluorooctane sulfonate(PFOS) adsorption water treatment

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大型铝合金构件的多道次电磁渐进成形

锻压技术 2024年第9期49卷 146-156页

作者：刘贤龙黄亮李径亮温春威陈荣创李劲波徐肖飞王敏李兵李建军湖北汽车工业学院材料科学院与工程学院湖北十堰442002 东风汽车集团有限公司研发总院湖北武汉430058 华中科技大学材料成形及模具技术国家重点实验室湖北武汉430074 新余学院机电工程学院江西新余338004 湖北隆中实验室湖北襄阳441000

电磁渐进成形具有提高材料成形性能和减小回弹等优点,为大型铝合金构件的成形制造提供了一种全新的工艺方法。以运载火箭用大型铝合金贮箱箱底构件的典型缩比件为研究对象,使用自主设计的电磁渐进成形工装验证了所建立的多道次电磁渐进... 详细信息

电磁渐进成形具有提高材料成形性能和减小回弹等优点,为大型铝合金构件的成形制造提供了一种全新的工艺方法。以运载火箭用大型铝合金贮箱箱底构件的典型缩比件为研究对象,使用自主设计的电磁渐进成形工装验证了所建立的多道次电磁渐进成形模型,通过模拟确定了多道次电磁渐进成形的层高和层数,并通过多道次电磁渐进成形实验确定了符合精度要求的贮箱箱底缩比件。探讨了大型铝合金构件多道次电磁渐进成形的工艺可行性,揭示了成形过程中的塑性变形行为,并建立了成形过程的控制方法,研究结果可为电磁渐进成形工艺在大型铝合金构件中的应用奠定理论基础。

关键词：大型铝合金构件多道次多层电磁渐进成形塑性变形

Investigation on the cleaning of KDP ultra-precision surface polished with micro water dissolution machining principle

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science china(Technological sciences) 2017年第1期60卷 27-35页

作者： chen YuChuan GAO Hang wang xu GUO DongMing TENG XiaoJi Key Laboratory for Precision and Non-Traditional Machining technology of Ministry of Education School of Mechanical Engineering Dalian University of Technology Dalian 116023 China

A potassium dihydrogen phosphate(KDP) optical crystal was machined to an ultra-precision surface with water-in-oil(W/O) micro emulsion polishing fluid. The micro water dissolution principle utilized in the machining process is discussed, its planarization mechanism is illustrated, and an ultra-precision polished surface with 2.205 nm RMS roughness is obtained. However, a substantial quantity of residual contamination remained on the polished surface after machining. This can seriously impact the optical performance of the crystal, and so it must be removed. Fourier transform infrared(FTIR) spectroscopy was used to conduct an investigation into the composition of the surface residue, and the results showed that the residue was comprised of organic chemicals with hydrocarbon chains and aromatic ether, i.e., mostly the polishing fluid. The cleaning method and the principle on which the KDP ultra precision surface investigation is based are discussed in detail, and the cleaning experiments with selected KDP-compatible organic solvents were then performed. FTIR transmittance spectra measurement and microscopic observations were employed to assess the effects of the cleaning process on the surface of the KDP crystal. The results showed that toluene cleaning achieved the most desirable results. This cleaning method produced a surface roughness of 1.826 nm RMS, which allows the KDP crystal to be applied to subsequent engineering applications.

关键词： KDP optical crystal micro water dissolution machining micro emulsion fluid ultra-precision surface FTIR spectra surface residue cleaning

CEPC Technical Design Report

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Radiation Detection technology and Methods 2024年第1期8卷 I0003-I0016,1-1091页

作者： Waleed Abdallah Tiago Carlos Adorno de Freitas Konstantin Afanaciev Shakeel Ahmad Ijaz Ahmed Xiaocong Ai Abid Aleem Wolfgang Altmannshofer Fabio Alves Weiming An Rui An Daniele Paolo Anderle Stefan Antusch Yasuo Arai Andrej Arbuzov Abdesslam Arhrib Mustafa Ashry Sha Bai Yu Bai Yang Bai Vipul Bairathi Csaba Balazs Philip Bambade Yong Ban Tripamo Bandyopadhyay Shou-Shan Bao Desmond P.Barber Ayse Bat Varvara Batozskaya Subash Chandra Behera Alexander Belyaev Michele Bertucci Xiao-Jun Bi Yuanjie Bi Tianjian Bian Fabrizio Bianchi Thomas Biekotter Michela Biglietti Shalva Bilanishvili Deng Binglin Denis Bodrov Anton Bogomyagkov Serge Bondarenko Stewart Boogert Maarten Boonekamp Marcello Borri Angelo Bosotti Vincent Boudry Mohammed Boukidi Igor Boyko Ivanka Bozovic Giuseppe Bozzi Jean-Claude Brient Anastasiia Budzinskaya Masroor Bukhari Vladimir Bytev Giacomo Cacciapaglia Hua Cai Wenyong Cai Wujun Cai Yijian Cai Yizhou Cai Yuchen Cai Haiying Cai Huacheng Cai Lorenzo Calibbi Junsong Cang Guofu Cao Jianshe Cao Antoine Chance xuejun Chang Yue Chang Zhe Chang Xinyuan Chang Wei Chao Auttakit Chatrabhuti Yimin Che Yuzhi Che Bin chen Danping chen Fuqing chen Fusan chen Gang chen Guoming chen Hua-Xing chen Huirun chen Jinhui chen Ji-Yuan chen Kai chen Mali chen Mingjun chen Mingshui chen Ning chen Shanhong chen Shanzhen chen Shao-Long chen Shaomin chen Shiqiang chen Tianlu chen Wei chen Xiang chen Xiaoyu chen Xin chen xun chen xurong chen Ye chen Ying chen Yukai chen Zelin chen Zilin chen Gang chen Boping chen Chunhui chen Hok Chuen cheng Huajie cheng Shan cheng Tongguang cheng Yunlong Chi Pietro Chimenti Wen Han Chiu Guk Cho Ming-Chung Chu Xiaotong Chu Ziliang Chu Guglielmo Coloretti Andreas Crivellin Hanhua Cui Xiaohao Cui Zhaoyuan Cui Brunella D'Anzi Ling-Yun Dai Xinchen Dai xuwen Dai Antonio De Maria Nicola De Filippis Christophe De La Taille Francesca De Mori Chiara De Sio Elisa Del Core Shuangxue Deng Wei-Tian Deng Zhi Deng Ziyan Deng Bhupal Dev Tang Dewen Biagio Di Micco Ran Ding Siqin Dingl Yadong Ding Haiyi Dong Jianin AGH university of science and technology Faculty of Physics and Applied Computer ScienceKrakow Anhui university HefeiAnhui applied Physics Department Federal Urdu University of ArtsScience and TechnologyIslamabad Banaras Hindu university Institute of ScienceVaranasi Bandirma Onyedi Eylul university Bandirma Beihang university Beijing beijing Computational science Research Center Beijing beijing Conveyi LTD Beijing beijing Glass Research Institute Co. LtdBeijing beijing Institute of technology Beijing beijing Normal university Beijing Brown university ProvidenceRI Budker Institute of Nuclear Physics Novosibirsk Cadi Ayyad university Laboratory of Fundamental and Applied PhysicsPolydisciplinary FacultyMarrakech Cairo university Giza Center for Theory and Computation National Tsing Hua UniversityHsinchu Central china Normal university WuhanHubei Central South university ChangshaHunan Centro de Fisica Teorica de Particulas Universidade Tecnica de LisboaLisboa chengdu KaitengSifang Digital Radio&TV Equipment Co. LtdChengduSichuan china academy of engineering physics MianyangSichuan china building materials academy Beijing china Center of Advanced science and technology Beijing china Institute of Atomic Energy Beijing china Jiliang university HangzhouZhejiang china Nuclear Instrument CO. LTDBeijing china university of Geosciences Beijing china university of Geosciences WuhanHubei china university of Mining and technology XuzhouJiangsu china West Normal university NanchongSichuan Chongqing university Department of PhysicsChongqing Chulalongkorn university Bangkok City university of Hong Kong Department of PhysicsHong Kong Cockcroft Institute Daresbury Cornell university IthacaNY CPPM(AMU/IPhU&CNRS/INP) Marseille Dalian Minzu university DalianLiaoning Dalian university of technology Department of PhysicsDalian Deutsches Elektronen-Synchrotron DESY Hamburg Dzhelepov Laboratory of Nuclear Problems of Joint Institute for Nuclear Research(DLNP JINR) Dubna East china university Of science And Technol

The Circular Electron Positron Collider(CEPC)is a large scientific project initiated and hosted by china,fostered through extensive collaboration with international *** complex comprises four accelerators:a 30 GeV Linac,a 1.1 GeV Damping Ring,a Booster capable of achieving energies up to 180 GeV,and a Collider operating at varying energy modes(Z,W,H,and tt).The Linac and Damping Ring are situated on the surface,while the subterranean Booster and Collider are housed in a 100 km circumference underground tunnel,strategically accommodating future expansion with provisions for a potential Super Proton Proton Collider(SPPC).The CEPC primarily serves as a Higgs *** its baseline design with synchrotron radiation(SR)power of 30 MW per beam,it can achieve a luminosity of 5×10^(34)cm^(-2)s^(-1)per interaction point(IP),resulting in an integrated luminosity of 13 ab^(-1)for two IPs over a decade,producing 2.6 million Higgs *** the SR power to 50 MW per beam expands the CEPC's capability to generate 4.3 million Higgs bosons,facilitating precise measurements of Higgs coupling at sub-percent levels,exceeding the precision expected from the HL-LHC by an order of *** Technical Design Report(TDR)follows the Preliminary Conceptual Design Report(Pre-CDR,2015)and the Conceptual Design Report(CDR,2018),comprehensively detailing the machine's layout,performance metrics,physical design and analysis,technical systems design,R&D and prototyping efforts,and associated civil engineering ***,it includes a cost estimate and a preliminary construction timeline,establishing a framework for forthcoming engineering design phase and site selection *** is anticipated to begin around 2027-2028,pending government approval,with an estimated duration of 8 *** commencement of experiments and data collection could potentially be initiated in the mid-2030s.

关键词： initiated exceeding precise

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大语言模型评估技术研究进展

数据采集与处理 2024年第3期39卷 502-523页

作者：赵睿卓曲紫畅陈国英王坤龙徐哲炜柯文俊汪鹏北京计算机技术及应用研究所北京100854 东南大学计算机科学与工程学院南京211189

随着大语言模型的广泛应用,针对大语言模型的评估工作变得至关重要。除了大语言模型在下游任务上的表现情况需要评估外,其存在的一些潜在风险更需要评估,例如大语言模型可能违背人类的价值观并且被恶意输入诱导引发安全问题等。本文通... 详细信息

随着大语言模型的广泛应用,针对大语言模型的评估工作变得至关重要。除了大语言模型在下游任务上的表现情况需要评估外,其存在的一些潜在风险更需要评估,例如大语言模型可能违背人类的价值观并且被恶意输入诱导引发安全问题等。本文通过分析传统软件、深度学习模型与大模型的共性与差异,借鉴传统软件测评和深度学习模型评估的指标体系,从大语言模型功能评估、性能评估、对齐评估和安全性评估几个维度对现有工作进行总结,并对大模型的评测基准进行介绍。最后依据现有研究与潜在的机遇和挑战,对大语言模型评估技术方向和发展前景进行了展望。

关键词：大语言模型功能评估性能评估对齐评估安全性评估

Magic-sized CdSe nanoclusters for efficient visible-light-driven hydrogen evolution

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Nano Research 2022年第4期15卷 3106-3113页

作者： Ping wang Qingqing Yang chen xu Bo wang Huan wang Jidong Zhang Yongdong Jin State Key Laboratory of Electroanalytical Chemistry Changchun Institute of Applied ChemistryChinese Academy of Sciences5625 Renmin StreetChangchun 130022China State Key Laboratory of Polymer Physics and Chemistry Changchun Institute of Applied ChemistryChinese Academy of Sciences5625 Renmin StreetChangchun 130022China university of science and technology of china No.96JinZhai RoadHefei 230026China school of Materials science and Engineering Jilin Jianzhu University5088 Xincheng StreetChangchun 130118China

Semiconductor magic-sized nanoclusters have got tremendous interests owing to their distinct chemical and photophysical properties,however,researches concerning their applications are still quite ***,we employ magic-sized CdSe nanoclusters as the light absorber for hydrogen photogeneration,which exhibits much better photocatalytic performance as compared to other conventional semiconductor quantum dots,such as CdS,CdSe,CdS/CdSe,and CdSe/CdS under identical *** lifetime and transient absorption studies indicated that the superior activity is mainly ascribed to the longer exciton lifetime and fast electron transfer from nanoclusters to ***,the issue of instability during reaction could be significantly inhibited by anchoring Zn2+onto the surface of nanoclusters,which gives the average efficacy of hydrogen evolution at 0.61±0.07 mL·h^(-1)·mgcatalyst^(-1),i.e.,27.3±2.9 mmol·h^(-1)·g_(catalyst)^(-1)(420 nm)with maintained 95.2%of original activity over 12 h illumination.

关键词： magic-sized nanoclusters CdSe photocatalysis hydrogen