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Corrigendum to “A size-dependent tensorial plasticity model for FCC single crystal with irradiation” Int. J. Plast. 65 (2015), 152–167

引用

International Journal of Plasticity 2015年 69卷 170-170页

作者： Xiazi Xiao Dingkun Song Jianming Xue Haijian Chu Huiling Duan State Key Laboratory for Turbulence and Complex System Department of Mechanics and Engineering Science College of Engineering Peking University Beijing 100871 PR China HEDPS Center for Applied Physics and Technology Peking University Beijing 100871 PR China State Key Laboratory of Nuclear Physics and Technology School of Physics Peking University Beijing 100871 PR China Department of Mechanics College of Sciences Shanghai University Shanghai 200444 PR China State Key Laboratory for Mechanical Behavior of Materials Xi'an 710049 PR China

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低成本粘土蜂窝SCR催化剂研制及催化性能

低成本粘土蜂窝SCR催化剂研制及催化性能

引用

第十六届二氧化硫氮氧化物、汞、细颗粒物污染控制技术研讨会

作者： GUO Feng 郭凤 ZHANG Xiong-fei 张雄飞 YU Jian 余剑 LI Jun-jie 李俊杰 XIE Fang-hua 谢放华 XU Guang-wen 许光文 China University of Mining and Technology Beijing State Key Laboratory of Multi-phase Complex System 中国矿业大学化环学院北京 100083 中国科学院过程工程研究所北京 100190 State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy 中国科学院过程工程研究所北京 100190 湘潭大学湖南400115 State Key Laboratory of Multi-phase Complex Systems Institute of Process Engineering Chinese Academy 中国科学院过程工程研究所北京 100190 School of Chemical Engineering Xiangtan UniversityXiangtan 110142HunanChina 湘潭大学湖南400115

本文从降低烟气SCR催化剂成本出发,研究采用不同粘土原料与成型助剂对蜂窝成型的影响,初步确立了不同助剂的类型及在蜂窝成型中的合适比例.将粘土成型工艺优化参数应用于粘土掺混型SCR脱硝催化剂,比较了催化剂的添加量对催化活性及稳定... 详细信息

本文从降低烟气SCR催化剂成本出发,研究采用不同粘土原料与成型助剂对蜂窝成型的影响,初步确立了不同助剂的类型及在蜂窝成型中的合适比例.将粘土成型工艺优化参数应用于粘土掺混型SCR脱硝催化剂,比较了催化剂的添加量对催化活性及稳定性的影响.结果表明：以粘土为基本载体的蜂窝状催化剂具有较高的催化活性,在固定氨氮比0.8,空速3000h-1的条件下,组成为30％(2％V2O5-5％WO3/TiO2)/粘土的蜂窝催化剂的脱硝率达到80％以上,反应温度窗口为250～500℃,可以满足中温脱硝催化剂的应用要求.

关键词：粘土蜂窝SCR催化剂制备工艺性能表征

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7.3: Compare Variation of User's EEG Owing to Parallax Cue

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SID Symposium Digest of Technical Papers 2018年第S1期49卷

作者： Haichen Hu Danli Wang Kang Yue Xinpan Yang Steve C. Chiu Beijing Key Lab of Human-Computer Interaction Institute of Software Chinese Academy of Sciences Beijing China University of Chinese Academy of Sciences Beijing China The State Key Laboratory of Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing China College of Science and Engineering Idaho State University Pocatello America

3D display has become increasingly popular in many fields. It can provide incredible immersion compared with 2D display. There are many researches referring to the change of user about no matter subjective experience or objective physiology signal while watching 3D content. Similarly, in this paper, we study the variation of user’s EEG when the user watched 3D content. However, we only focus on parallax cue and avoid other cues of 3D content by using Random Dot Stereogram(RDS) as visual stimulus. We designed an experiment which asked the subject to watch RDS with nine kinds of parallaxes(0,±0.5,±1.1,±1.3,±1.7). The users watched one RDS for 1 minute and then closed eyes and rest for 1 minute every time. During watching, EEG signal with 30-channel was recorded. The result suggests that significant variation of the user’s EEG data occurred in the Alpha (8–13Hz) and Beta(14–30Hz) frequency band by different parallax’s comparison. And we found not only parallax but also electrode position can impact the user’s EEG data significantly. Accurately, the EEG data has a significant change in six electrodes position in both frequency bands including CZ, PZ, OZ, O2 in international 10–20 system. It means those electrode positions we detect can be regarded as typical positions where we record EEG signal. It will simplify the process of EEG signal acquisition when we need to study the relationship between parallax cue of 3D display and the user further.

关键词： EEG Parallax RDS 3D

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Photocatalysis: Light-Activated Rapid Disinfection by Accelerated Charge Transfer in Red Phosphorus/ZnO Heterointerface (Small Methods 3/2019)

引用

Small Methods 2019年第3期3卷

作者： Jun Li Xiangmei Liu Lei Tan Yanqin Liang Zhenduo Cui Xianjin Yang Shengli Zhu Zhaoyang Li Yufeng Zheng Kelvin Wai Kwok Yeung Xianbao Wang Shuilin Wu School of Materials Science & Engineering The Key Laboratory of Advanced Ceramics and Machining Technology by the Ministry of Education of China Tianjin University Tianjin 300072 China Hubei Collaborative Innovation Center for Advanced Organic Chemical Materials Ministry-of-Education Key Laboratory for the Green Preparation and Application of Functional Materials Hubei Key Laboratory of Polymer Materials School of Materials Science & Engineering Hubei University Wuhan 430062 China State Key Laboratory for Turbulence and Complex System and Department of Materials Science and Engineering College of Engineering Peking University Beijing 100871 China Department of Orthopaedics & Traumatology Li Ka Shing Faculty of Medicine The University of Hong Kong Pokfulam Hong Kong 999077 China

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Unleashing the Power of Edge-Cloud Generative AI in Mobile Networks: A Survey of AIGC Services

arXiv

引用

arXiv 2023年

作者： Xu, Minrui Du, Hongyang Niyato, Dusit Kang, Jiawen Xiong, Zehui Mao, Shiwen Han, Zhu Jamalipour, Abbas Kim, Dong In Shen, Xuemin Leung, Victor C.M. Poor, H. Vincent The School of Computer Science and Engineering Nanyang Technological University Singapore639798 Singapore The School of Automation Guangdong University of Technology Key Laboratory of Intelligent Information Processing and System Integration of IoT Ministry of Education Guangzhou510006 China Guangdong-HongKong-Macao Joint Laboratory for Smart Discrete Manufacturing Guangzhou510006 China The Pillar of Information Systems Technology and Design Singapore University of Technology and Design Singapore487372 Singapore The Department of Electrical and Computer Engineering Auburn University AuburnAL36849-5201 United States The Department of Electrical and Computer Engineering University of Houston HoustonTX77004 United States The Department of Computer Science and Engineering Kyung Hee University Seoul446-701 Korea Republic of The School of Electrical and Information Engineering University of Sydney SydneyNSW2006 Australia The Department of Electrical and Computer Engineering Sungkyunkwan University Suwon16419 Korea Republic of The Department of Electrical and Computer Engineering University of Waterloo WaterlooONN2L 3G1 Canada The College of Computer Science and Software Engineering Shenzhen University Shenzhen518061 China The Department of Electrical and Computer Engineering The University of British Columbia VancouverBCV6T 1Z4 Canada The Department of Electrical and Computer Engineering Princeton University PrincetonNJ08544 United States

Artificial Intelligence-Generated Content (AIGC) is an automated method for generating, manipulating, and modifying valuable and diverse data using AI algorithms creatively. This survey paper focuses on the deployment of AIGC applications, e.g., ChatGPT and Dall-E, at mobile edge networks, namely mobile AIGC networks, that provide personalized and customized AIGC services in real time while maintaining user privacy. We begin by introducing the background and fundamentals of generative models and the lifecycle of AIGC services at mobile AIGC networks, which includes data collection, training, fine-tuning, inference, and product management. We then discuss the collaborative cloud-edge-mobile infrastructure and technologies required to support AIGC services and enable users to access AIGC at mobile edge networks. Furthermore, we explore AIGC-driven creative applications and use cases for mobile AIGC networks. Additionally, we discuss the implementation, security, and privacy challenges of deploying mobile AIGC networks. Finally, we highlight some future research directions and open issues for the full realization of mobile AIGC networks. © 2023, CC BY.

关键词： Life cycle

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WO3酸化负载钒钛基脱硝催化剂制备与性能表征

WO3酸化负载钒钛基脱硝催化剂制备与性能表征

引用

第十六届二氧化硫氮氧化物、汞、细颗粒物污染控制技术研讨会

作者： LI Jun-jie 李俊杰 YU Jian 余剑 ZHANG Xiong-fei 张雄飞 DUAN Zheng-kang 段正康 XU Guang-wen 许光文 National Key Laboratory of Multiphase Complex System Institute of Process EngineeringChinese Academ 中国科学院过程工程研究所多相复杂系统国家重点实验北京 100190 湘潭大学化工学院湖南湘潭 41105 National Key Laboratory of Multiphase Complex System Institute of Process EngineeringChinese Academ 中国科学院过程工程研究所多相复杂系统国家重点实验北京 100190 Chemical Engineeting Institute Xiangtan UniversityXiangtanHunan 41105Chian 湘潭大学化工学院湖南湘潭 41105

以商业TiO2为载体，采用浸渍法制备了V2O5-WO3-TiO2/SO42-催化剂.考察了硫酸酸化顺序及硫酸负载量对催化活性的影响，借助XRD、BET、FT-IR、TG-DTA、TPD手段对催化剂进行表征，利用氨气选择性催化还原(NH3-SCR)进行活性测试.BET表征结... 详细信息

以商业TiO2为载体，采用浸渍法制备了V2O5-WO3-TiO2/SO42-催化剂.考察了硫酸酸化顺序及硫酸负载量对催化活性的影响，借助XRD、BET、FT-IR、TG-DTA、TPD手段对催化剂进行表征，利用氨气选择性催化还原(NH3-SCR)进行活性测试.BET表征结果表明随着酸化处理量增大，催化剂表面积降低;而FT-IR、TG结果表明随着酸化处理硫酸量的增大，大大提高了硫酸根与钨之间存在的电子交互作用;程序升温活性测试结果表明硫酸酸化处理对催化剂活性具有促进作用，结合NH3-TPD表征结果证实了酸化处理的催化剂可以增强表面的酸性位，从而导致催化剂的高活性.

关键词：脱硝催化剂制备工艺性能表征催化活性

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Bacteria Flagella-Mimicking Polymer Multilayer Magnetic Microrobots

SSRN

引用

SSRN 2024年

作者： Wu, Zhiguang Lu, Liang Bai, Shuang Shi, Jiaqi Zhang, Zhuotao Pan, Yunlu Wang, Wei Wu, Wenfeng Sun, Shoubin Li, Xu Hou, Gang Huang, Tianyun Jia, Yuxin Zuo, Kaiwen Granovsky, Alexander Wu, He Nikolai, Perov School of Medicine and Health Harbin Institute of Technology Harbin China State Key Laboratory of Robotics and System Harbin Institute of Technology Harbin China The First Affiliated Hospital of Harbin Medical University Harbin China National Center for Respiratory Medicine State Key Laboratory of Respiratory Health and Multimorbidity National Clinical Research Center for Respiratory Diseases Institute of Respiratory Medicine Chinese Academy of Medical Sciences Department of Pulmonary and Critical Care Medicine Center of Respiratory Medicine China-Japan Friendship Hospital Beijing China College of Science Sichuan Agricultural University Chengdu China The Fourth Affiliated Hospital of Harbin Medical University Harbin China Department of Ophthalmology The Second Hospital Jilin University Changchun China Department of Advanced Manufacturing and Robotics College of Engineering State Key Laboratory for Turbulence and Complex Systems Peking University Beijing China Department of Mathematics Imperial College London United Kingdom Department of Computer Science University of Warwick Coventry United Kingdom Magnetism Department Faculty of Physics Lomonosov Moscow State University Moscow Russia Harbin Medical University China

Learning from natural bacteria flagellum, we demonstrate a magnetic polymer multilayer conical microrobot that bestow the controllable propulsion upon external rotating magnetic field with uniform intensity. The magnetic microrobots were constructed by template-assisted Layer-by-Layer technique technique and subsequent functionalization of magnetic particle onto the big opening of the microrobots. Geometric variables of the polymer microrobots, such as the diameter and wall thickness, can be controlled by selection of porous template and layers of assembly. The microrobots perform controllable propulsion through the manipulation of magnetic field. The comparative analysis of the movement behavior reveals that the deformation of microrobots may attributed to the propulsion upon rotating magnetic field, which is similar as that of natural bacteria. The influence of actuation frequencies and frequencies on the velocity of the microrobots is studied. Such use of polymer polymer multilayer tubular micro/nanoarchitectures results in significant savings in the processing costs and provides a simple and cost-effective fabrication route for the mass production of magnetic polymer microrobots. © 2024, The Authors. All rights reserved.

关键词： Bacteria

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Grey systems for intelligent sensors and information processing

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Journal of systems engineering and Electronics 2008年第4期000卷

作者： Chen Chunlin Dong Daoyi Chen Zonghai Wang Haibo Chen Chunlin (Dept.of Control and System Engineering School of Management and EngineeringNanjing Univ.Nanjing 210093P.R.China State Key Laboratory for Novel Software Technology Nanjing Univ.Nanjing 210093P.R.China) Dong Daoyi (State Key Laboratory for Novel Software Technology Nanjing Univ.Nanjing 210093P.R.China) Chen Zonghai (Dept.of Automation Univ.of Science and Technology of ChinaHefei 230027P.R.China)

In a measurement system,new representation methods are necessary to maintain the uncertainty and to supply more powerful ability for reasoning and transformation between numerical system and symbolic system.A grey measurement system is discussed from the point of view of intelligent sensors and incomplete information processing compared with a numerical and symbolized mea8urement *** methods of grey representation and information processing are proposed for data collection and *** a case study,multi-ultrasonic sensor systems are demonstrated to verify the effectiveness of the proposed methods.

关键词： grey system grey sensors information processing

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Scaled Background Swap: Video Augmentation for Action Quality Assessment with Background Debiasing

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ACM Transactions on Multimedia Computing, Communications, and Applications 1000年

作者： Xin Zhang Hongzhi Feng M. Shamim Hossain Yinzhuo Chen Hongbo Wang Yuyu Yin Hangzhou Dianzi University China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China and Yunnan Key Laboratory of Service Computing Yunnan University of Finance and Economics China Hangzhou Dianzi University China Department of Software Engineering College of Computer and Information Sciences King Saud University Saudi Arabia Hangzhou Dianzi University China Key Laboratory of Complex Systems Modeling and Simulation Ministry of Education China and Zhoushan Tongbo Marine Electronic Information Research Institute Hangzhou Dianzi University China

Action Quality Assessment (AQA) has become crucial in video analysis, finding wide applications in various domains, such as healthcare and sports. A significant challenge faced by AQA is the background bias due to the dominance of the background in videos. Especially, the background bias tends to overshadow subtle foreground differences, which is crucial for precise action evaluation. To address the background bias issue, we propose a novel data augmentation method named Scaled Background Swap. Firstly, the background regions between different video samples are swapped to guide models focus toward the dynamic foreground regions and mitigate its sensitivity to the background during training. Secondly, the video’s foreground region is up-scaled to further enhance models’ attention to the critical foreground action information for AQA tasks. In particular, the proposed Scaled Background Swap method can effectively improve models’ accuracy and generalization by prioritizing foreground motion and swapping backgrounds. It can be flexibly applied with various video analysis models. Extensive experiments on AQA benchmarks demonstrate that Scaled Background Swap method achieves better performance than baselines. Specifically, the Spearman’s rank correlation on datasets AQA-7 and MTL-AQA reaches 0.8870 and 0.9526, respectively. The code is available at: https://***/Emy-cv/Scaled-Background Swap.

关键词： Background Swap Foreground Up-scale Data Augmentation Background Bias Action Quality Assessment

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Erratum to “Corrosion fatigue behavior of two typical biomedical Mg alloys-AZ91D and WE43 in simulated body fluid” Acta Biomaterialia 6 (2010) 4605–4613

引用

Acta Biomaterialia 2011年第4期7卷 1938-1938页

作者： X.N. Gu W.R. Zhou Y.F. Zheng Y. Cheng S.C. Wei S.P. Zhong T.F. Xi L.J. Chen State Key Laboratory for Turbulence and Complex System College of Engineering Peking University Beijing 100871 China Department of Advanced Materials and Nanotechnology College of Engineering Peking University Beijing 100871 China Center for Biomedical Materials and Tissue Engineering Academy for Advanced Interdisciplinary Studies Peking University Beijing 100871 China School of Material Science and Engineering Shengyang University of Technology Shenyang 110023 China

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