检索结果-内蒙古大学图书馆

arXiv 2018年

作者： Xu, Jiamiao Yu, Shujian You, Xinge Leng, Mengjun Jing, Xiao-Yuan Chen, C. L. Philip School of Electronic Information and Communications Huazhong University of Science and Technology Wuhan430074 China Department of Electrical and Computer Engineering University of Florida GainesvilleFL32611 United States Department of Computer Science University of Houston HoustonTX77204 United States State Key Laboratory of Software Engineering School of Computer Wuhan University China Department of Computer and Information Science Faculty of Science and Technology University of Macau Macau99999 China Dalian Maritime University Dalian116026 China State Key Laboratory of Management and Control for Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100080 China

We present a novel cross-view classification algorithm where the gallery and probe data come from different views. A popular approach to tackle this problem is the multiview subspace learning (MvSL) that aims to learn a latent subspace shared by multi-view data. Despite promising results obtained on some applications, the performance of existing methods deteriorates dramatically when the multi-view data is sampled from nonlinear manifolds or suffers from heavy outliers. To circumvent this drawback, motivated by the Divideand-Conquer strategy, we propose Multi-view Hybrid Embedding (MvHE), a unique method of dividing the problem of cross-view classification into three subproblems and building one model for each subproblem. Specifically, the first model is designed to remove view discrepancy, whereas the second and third models attempt to discover the intrinsic nonlinear structure and to increase discriminability in intra-view and interview samples respectively. The kernel extension is conducted to further boost the representation power of MvHE. Extensive experiments are conducted on four benchmark datasets. Our methods demonstrate overwhelming advantages against the stateof-the-art MvSL based cross-view classification approaches in terms of classification accuracy and robustness. Copyright © 2018, The Authors. All rights reserved.

关键词： Embeddings

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Active Simultaneously Transmitting and Reflecting Surface Assisted NOMA Networks

arXiv

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arXiv 2024年

作者： Yue, Xinwei Xie, Jin Ouyang, Chongjun Liu, Yuanwei Shen, Xia Ding, Zhiguo The Key Laboratory of Information and Communication Systems Ministry of Information Industry Beijing Information Science and Technology University Beijing100101 China The Key Laboratory of Modern Measurement & Control Technology Ministry of Education Beijing Information Science and Technology University Beijing100101 China The School of Information and Communication Engineering Beijing University of Posts and Telecommunications Beijing100876 China The School of Electronic Engineering and Computer Science Queen Mary University of London LondonE1 4NS United Kingdom Beijing100191 China The Department of Electrical Engineering and Computer Science Khalifa University Abu Dhabi United Arab Emirates Department of Electrical Engineering Princeton University Princeton United States

The novel active simultaneously transmitting and reflecting surface (ASTARS) has recently received a lot of attention due to its capability to conquer the multiplicative fading loss and achieve full-space smart radio environments. This paper introduces the ASTARS to assist non-orthogonal multiple access (NOMA) communications, where the stochastic geometry theory is used to model the spatial positions of pairing users. We design the independent reflection/transmission phase-shift controllers of ASTARS to align the phases of cascaded channels at pairing users. We derive new closed-form and asymptotic expressions of the outage probability and ergodic data rate for ASTARS-NOMA networks in the presence of perfect/imperfect successive interference cancellation (pSIC). The diversity orders and multiplexing gains for ASTARS-NOMA are derived to provide more insights. Furthermore, the system throughputs of ASTARS-NOMA are investigated in both delay-tolerant and delay-limited transmission modes. The numerical results are presented and show that: 1) ASTARS-NOMA with pSIC outperforms ASTARS assisted-orthogonal multiple access (ASTARS-OMA) in terms of outage probability and ergodic data rate;2) The outage probability of ASTARS-NOMA can be further reduced within a certain range by increasing the power amplification factors;3) The system throughputs of ASTARS-NOMA are superior to that of ASTARS-OMA in both delay-limited and delay-tolerant transmission modes. Copyright © 2024, The Authors. All rights reserved.

关键词： Stochastic systems

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Room temperature continuous-wave excited biexciton emission in CsPbBr3 nanocrystals

arXiv

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arXiv 2018年

作者： Chen, Jie Zhang, Qing Du, Wenna Mi, Yang Shang, Qiuyu Shi, Jia Liu, Pengchong Sui, Xinyu Wu, Xianxin Wang, Rui Peng, Bo Zhong, Haizheng Xing, Guichuan Qiu, Xiaohui Sum, Tze Chien Liu, Xinfeng Division of Nanophotonics CAS Key Laboratory of Standardization and Measurement for Nanotechnology CAS Center for Excellence in Nanoscience National Center for Nanoscience and Technology Beijing100190 China University of Chinese Academy of Sciences 19 A Yuquan Rd Shijingshan District Beijing100049 China Department of Materials Science and Engineering College of Engineering Peking University Beijing100871 China Research Center for Wide Band Semiconductor Peking University China National Engineering Research Center of Electromagnetic Radiation Control Materials State Key Laboratory of Electronic Thin Films and Integrated Devices University of Electronic Science and Technology of China Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of Materials Science & Engineering Beijing Institute of Technology China Institute of Applied Physics and Materials Engineering University of Macau China School of Physical & Mathematical Sciences Nanyang Technological University 21 Nanyang Link Singapore

Biexcitons are a manifestation of many-body excitonic interactions crucial for quantum information and quantum computation in the construction of coherent combinations of quantum states. However, due to their small binding energy and low transition efficiency, most biexcitons in conventional semiconductors exist either at cryogenic temperature or under femtosecond pulse laser excitation. Here we demonstrate room temperature, continuous wave driven biexciton states in CsPbBr3 perovskite nanocrystals through coupling with a plasmonic nanogap. The room temperature CsPbBr3 biexciton excitation fluence (~100 mW/cm2) is reduced by ~1013 times in the Ag nanowire-film nanogaps. The giant enhancement of biexciton emission is driven by coherent biexciton-plasmon Fano interference. These results provide new pathways to develop high efficiency non-blinking single photon sources, entangled light sources and lasers based on biexciton states. Copyright © 2018, The Authors. All rights reserved.

关键词： Cesium compounds

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Emerging contaminants:A One Health perspective

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The Innovation 2024年第4期5卷 140-170,139页

作者： Fang Wang Leilei Xiang Kelvin Sze-Yin Leung Martin Elsner Ying Zhang Yuming Guo Bo Pan Hongwen Sun Taicheng An Guangguo Ying Bryan WBrooks Deyi Hou Damian EHelbling Jianqiang Sun Hao Qiu Timothy MVogel Wei Zhang Yanzheng Gao Myrna JSimpson Yi Luo Scott XChang Guanyong Su Bryan MWong Tzung-May Fu Dong Zhu Karl JJobst Chengjun Ge Frederic Coulon Jean Damascene Harindintwali Xiankui Zeng Haijun Wang Yuhao Fu Zhong Wei Rainer Lohmann Changer Chen Yang Song Concepcion Sanchez-Cid Yu Wang Ali El-Naggar Yiming Yao Yanran Huang Japhet Cheuk-Fung Law Chenggang Gu Huizhong Shen Yanpeng Gao Chao Qin Hao Li Tong Zhang Natàlia Corcoll Min Liu Daniel SAlessi Hui Li Kristian KBrandt Yolanda Pico Cheng Gu Jianhua Guo Jianqiang Su Philippe Corvini Mao Ye Teresa Rocha-Santos Huan He Yi Yang Meiping Tong Weina Zhang Fidèle Suanon Ferdi Brahushi Zhenyu Wang Syed AHashsham Marko Virta Qingbin Yuan Gaofei Jiang Louis A.Tremblay Qingwei Bu Jichun Wu Willie Peijnenburg Edward Topp Xinde Cao Xin Jiang Minghui Zheng Taolin Zhang Yongming Luo Lizhong Zhu Xiangdong Li DamiàBarceló Jianmin Chen Baoshan Xing Wulf Amelung Zongwei Cai Ravi Naidu Qirong Shen Janusz Pawliszyn Yong-guan Zhu Andreas Schaeffer Matthias C.Rillig Fengchang Wu Gang Yu James M.Tiedje State Key Laboratory of Soil and Sustainable Agriculture Institute of Soil ScienceChinese Academy of SciencesNanjing 210008China University of Chinese Academy of Sciences Beijing 100049China Department of Chemistry Hong Kong Baptist UniversityHong KongChina HKBU Institute of Research and Continuing Education Shenzhen Virtual University ParkShenzhenChina Technical University of Munich TUM School of Natural SciencesInstitute of Hydrochemistry85748 GarchingGermany School of Resources&Environment Northeast Agricultural UniversityHarbin 150030China Climate Air Quality Research UnitSchool of Public Health and Preventive MedicineMonash UniversityMelbourneVICAustralia Faculty of Environmental Science&Engineering Kunming University of Science&TechnologyKunming 650500China Ministry of Education Key Laboratory of Pollution Processes and Environmental Criteria College of Environmental Science and EngineeringNankai UniversityTianjin 300350China Guangdong Key Laboratory of Environmental Catalysis and Health Risk Control School of Environmental Science and EngineeringInstitute of Environmental Health and Pollution ControlGuangdong University of TechnologyGuangzhou 510006China Ministry of Education Key Laboratory of Environmental Theoretical Chemistry South China Normal UniversityGuangzhouGuangdong 510006China Department of Environmental Science Baylor UniversityWacoTXUSA Center for Reservoir and Aquatic Systems Research(CRASR) Baylor UniversityWacoTXUSA School of Environment Tsinghua UniversityBeijing 100084China School of Civil and Environmental Engineering Cornell UniversityIthacaNY 14853USA Key Laboratory of Microbial Technology for Industrial Pollution Control of Zhejiang Province Zhejiang University of TechnologyHangzhou 310014China School of Environmental Science and Engineering Shanghai Jiao Tong UniversityShanghai 200240China Laboratoire d’Ecologie Microbienne Universite Claude Bernard Lyon 1UMR CNRS 5557UMR INRAE 1418VetAgro Sup69622 VilleurbanneFrance Department of Pla

Environmental pollution is escalating due to rapid global development that often prioritizes human needs over planetary *** global efforts to mitigate legacy pollutants,the continuous introduction of new substances remains a major threat to both people and the *** response,global initiatives are focusing on risk assessment and regulation of emerging contaminants,as demonstrated by the ongoing efforts to establish the UN’s Intergovernmental Science-Policy Panel on Chemicals,Waste,and Pollution *** review identifies the sources and impacts of emerging contaminants on planetary health,emphasizing the importance of adopting a One Health *** for monitoring and addressing these pollutants are discussed,underscoring the need for robust and socially equitable environmental policies at both regional and international *** actions are needed to transition toward sustainable pollution management practices to safeguard our planet for future generations.

关键词： pollution planet contaminants

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Study on the Structure, Magnetic Properties and Microwave Absorbing Properties of Rare Earth Doped Cobalt Ferrite: The Influence Mechanism of Different Substitution Positions

SSRN

引用

SSRN 2022年

作者： Jing, Xiaodong Guo, Mohan Li, Ziyu Qin, Ciyu Chen, Zitao Li, Zuoguang Gong, Huayang Ganjiang Innovation Academy Chinese Academy of Sciences Ganzhou341000 China State Key Laboratory of Multiphase Complex Systems Beijing Engineering Research Centre of Process Pollution Control Institute of Process Engineering Chinese Academy of Sciences No.1 2nd North Street ZhongGuanCun Beijing100190 China School of Rare earths University of Science and Technology of China Hefei230026 China University of Chinese Academy of Sciences Beijing100049 China Beijing Key Laboratory of Materials Utilization of Nonmetallic Minerals and Solid Wastes National Laboratory of Mineral Materials School of Materials Beijing100083 China Science and Technology China University of Geosciences Beijing100083 China

In order to better understand the influence mechanism and law of rare earth (RE) doping on the properties of cobalt ferrite (CFO), RE (including La, Ce, Pr, Nd, Sm, Gd, Ho, Er, Yb, Y) doped CFO nanoparticles were synthesized by sol-gel auto combustion method and other methods. The different roles of RE added to CFO in changing cation distribution and further affecting structure, magnetism and microwave absorption properties due to different substitution positions are studied and reported. The crystal structure formation and crystallite size are studied by X-ray diffraction and the results showed that the replacement of Co2+ ions by RE 3+ ions was more likely to lead to larger lattice distortion and smaller grains compared with the replacement of Fe3+ ions by RE3+ ions. Room temperature magnetization measurements show that the saturation magnetization of CFO decreases with the substitution of RE3+ ions, and the change of coercivity is related to the substitution position and type of RE3+ ions. The coercivity increases significantly with the substitution of Co2+ ions by RE3+ , reaching a maximum of 2423 Oe (Co0.8Gd0.2Fe2O4), and decreases with the substitution of Fe3+ ions by RE3+ . The substitution of Fe3+ ions by Ce3+ , Nd3+ , Yb3+ and Er3+ (substitution amount x=0.05) lead to the increase of remanence. Gd3+ , La3+ , Nd3+ and Y3+ doping can improve the microwave absorption performance of CFO, and Co0.9Nd0.1Fe2O4 had the lowest reflection loss of about -23.35 dB at frequency of 11.12 GHz, corresponding to ~99% microwave energy being absorbed. However, the microwave absorbing property is sensitive to the doping amount. Therefore, the synergistic effect of RE doping and structural regulation is needed to improve the microwave absorption performance. © 2022, The Authors. All rights reserved.

关键词： Ions

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Pressure-tunable large anomalous Hall effect of the ferromagnetic kagome-lattice Weyl semimetal Co3Sn2S2

引用

Physical Review B 2019年第16期100卷 165145-165145页

作者： Xuliang Chen Maoyuan Wang Chuanchuan Gu Shuyang Wang Yonghui Zhou Chao An Ying Zhou Bowen Zhang Chunhua Chen Yifang Yuan Mengyao Qi Lili Zhang Haidong Zhou Jianhui Zhou Yugui Yao Zhaorong Yang Anhui Province Key Laboratory of Condensed Matter Physics at Extreme Conditions High Magnetic Field Laboratory Chinese Academy of Sciences Hefei 230031 China Key Laboratory of Advanced Optoelectronic Quantum Architecture and Measurement (MOE) Beijing Key Laboratory of Nanophotonics and Ultrafine Optoelectronic Systems School of Physics Beijing Institute of Technology Beijing 100081 China Department of Materials Science and Engineering Southern University of Science and Technology Shenzhen 518055 China School of Physical Sciences University of Science and Technology of China Hefei 230026 China Institutes of Physical Science and Information Technology Anhui University Hefei 230601 China Shanghai Institute of Applied Physics Chinese Academy of Sciences Shanghai 201204 China Shanghai Synchrotron Radiation Facility Shanghai Advanced Research Institute Chinese Academy of Sciences Shanghai 201204 China Department of Physics and Astronomy University of Tennessee Knoxville Tennessee 37996-1200 USA Key Laboratory of Artificial Structures and Quantum Control (Ministry of Education) School of Physics and Astronomy Shanghai JiaoTong University Shanghai 200240 China Collaborative Innovation Center of Advanced Microstructures Nanjing 210093 China

We report a systematic high-pressure study of magnetic topological semimetal Co3Sn2S2 through measurements of synchrotron x-ray diffraction (XRD), magnetization, electrical, and Hall transports combined with first-principle theoretical calculations. No evident trace of structural phase transition is detected through synchrotron x-ray diffraction over the measured pressure range of 0.2–50.9 GPa. We find that the ferromagnetism and the anomalous Hall resistivity are monotonically suppressed as increasing pressure and almost vanish around 22 GPa. The anomalous Hall conductivity varies nonmonotonically against pressure at low temperatures, involving competition between original and emergent Weyl nodes. Combined with first-principle calculations, we reveal that the intrinsic mechanism due to the Berry curvature dominates the anomalous Hall effect under high pressure.

关键词： Anomalous Hall effect Pressure effects Transport phenomena Topological materials First-principles calculations X-ray powder diffraction

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Moving Vehicle Detection with Shadow Elimination Based on Improved ViBe Algorithm

引用

Journal of Physics: Conference Series 2019年第2期1302卷

作者： Xue Xia Xiaobo Lu Yichao Cao Shudong Xia Changqing Fu School of Automation Southeast University Nanjing 210096 China Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing 210096 China Beijing PKU Trans Info Technology Co. Ltd Beijing 100193 China

Moving vehicle detection based on video processing has been widely used in intelligent transportation system recently. However there are also many problems, such as dynamic background, ghost region, and shadow of moving objects. This paper proposes an improved ViBe object detection algorithm. First, an accurate background image is obtained by using the multi-frame averaging method, and then the background model is initialized by this accurate background image, thus effectively reducing the generation of ghost region. Whenever there is no moving object for a fixed number of consecutive frames in the video, this frame is updated to the background image. Conservative update strategy and foreground point counting method are adopted to update the background and reduce the impact of dynamic background on the foreground detection. Next, the foreground image detected by improved ViBe algorithm is input into the shadow elimination method proposed in this paper. Shadows in foreground pixels are detected in RGB color space, and then the pixels determined as shadows are eliminated. Finally, accurate moving vehicles are obtained. Our algorithm can effectively eliminate the shadows of moving vehicles, quickly adapt to background changes and illumination mutation, and get accurate moving objects, which is helpful for vehicle contour extraction and subsequent image processing.

关键词：

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Privacy-Preserving Brain-Computer Interfaces: A Systematic Review

arXiv

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arXiv 2024年

作者： Xia, Kun Duch, Wlodzislaw Sun, Yu Xu, Kedi Fang, Weili Luo, Hanbin Zhang, Yi Sang, Dong Xu, Xiaodong Wang, Fei-Yue Wu, Dongrui The Ministry of Education Key Laboratory of Image Processing and Intelligent Control School of Artificial Intelligence and Automation Huazhong University of Science and Technology Wuhan430074 China Zhejiang Lab Hangzhou311121 China The Department of Informatics School of Physics Astronomy and Informatics Neurocognitive Laboratory Center for Modern Interdisciplinary Technologies Nicolaus Copernicus University Torun Poland The Ministry of Education Key Laboratory for Biomedical Engineering Zhejiang University Hangzhou China The Zhejiang University School of Medicine National Clinical Research Center for Child Health Hangzhou China Department of Biomedical Engineering Zhejiang University Hangzhou China The School of Civil and Hydraulic Engineering Huazhong University of Science and Technology Wuhan430074 China The College of Public Administration Huazhong University of Science and Technology Wuhan430074 China The NetsUnion Clearing Corporation Beijing100045 China The State Key Laboratory for Management and Control of Complex Systems Institute of Automation Chinese Academy of Sciences Beijing100049 China

A brain-computer interface (BCI) establishes a direct communication pathway between the human brain and a computer. It has been widely used in medical diagnosis, rehabilitation, education, entertainment, etc. Most research so far focuses on making BCIs more accurate and reliable, but much less attention has been paid to their privacy. Developing a commercial BCI system usually requires close collaborations among multiple organizations, e.g., hospitals, universities, and/or companies. Input data in BCIs, e.g., electroencephalogram (EEG), contain rich privacy information, and the developed machine learning model is usually proprietary. Data and model transmission among different parties may incur significant privacy threats, and hence privacy protection in BCIs must be considered. Unfortunately, there does not exist any contemporary and comprehensive review on privacy-preserving BCIs. This paper fills this gap, by describing potential privacy threats and protection strategies in BCIs. It also points out several challenges and future research directions in developing privacy-preserving BCIs. © 2024, CC BY.

关键词： Differential privacy

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Reliability Analysis of Manufacturing Machine with Degradation and Low-quality Feedstocks

Reliability Analysis of Manufacturing Machine with Degradati...

引用

Advanced Reliability and Maintenance Modeling (APARM), Asia-Pacific International Symposium on

作者： Zhenggeng Ye Zhiqiang Cai Hui Yang Department of Industrial Engineering Northwestern Polytechnical University Xi’an China School of Mechanical Engineering Northwestern Polytechnical University Xi’an P.R. China Ministry of Industry and Information Technology Key Laboratory of Industrial Engineering and Intelligent Manufacturing Northwestern Polytechnical University Xi’an P.R. China Complex Systems Monitoring Modeling and Control Laboratory in the Harold Pennsylvania State University (University Park) State College PA USA The Harold and Inge Marcus Department of Industrial and Manufacturing Engineering The Pennsylvania State University (University Park) State College USA Department of Industrial and Manufacturing Engineering Pennsylvania State University (University Park) State College PA USA

ISBN: (数字)9781728171029

ISBN: (纸本)9781728171036

Machine reliability is one major concern in manufacturing industries, which is affected by interior degradation and outside shocks simultaneously. Low-quality feedstocks, as one typical kind of shocks, may arrive randomly during the operation of a machine. However, due to the instability of environment and manufacturing factors, low-quality feedstocks may arrive in clusters in some specific batches. In this paper, we first proposed a reliability evaluation model for the repairable machine, accounting for machine degradation and shocks caused by low-quality feedstocks. Then, the cluster arrival of low-quality feedstocks is modeled by the Hawkes point process with the properties of self-exciting and history dependent. Moreover, considering the degradation and shocks, the mixture failure rate of a machine is modeled. Further, the expectation of remaining lifetime is derived. Finally, the simulation experiment is implemented to compare the performance between the machine when the arrival intervals of low-quality feedstocks follow the Poisson point process and the Hawkes point process. Experimental results show the effectiveness of the proposed model for machine reliability analysis.

关键词： Electric shock Degradation Maintenance engineering Mathematical model Manufacturing Reliability engineering

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Correction to "Attitude coordination control for a group of spacecraft without velocity measurements" [Sep 12 1146-1159]

引用

IEEE Transactions on control systems Technology 2013年第3期21卷 1044-1044页

作者： An-Min Zou Krishna Dev Kumar Zeng-Guang Hou Department of Aerospace Engineering Ryerson University Toronto ON Canada Institute of Automation Chinese Academy of Sciences State Key Laboratory of Intelligent Control and Management of Complex Systems Beijing China

Some errors in the above titled paper (ibid., vol. 20, no. 5, Sep. 2012, pp. 1146-1159) are corrected here.

关键词： Attitude control Space vehicles Observers Neural networks Adaptive control Aerospace engineering

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