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11th Annual TechConnect World Innovation Conference and Expo, Held Jointly with the 20th Annual Nanotech Conference and Expo, and the 2017 National SBIR/STTR Conference

作者： Tang, Kai Chen, Xi Wang, Wei Li, Pengfei Yu, Junfei State Key Laboratory of Mechatronics Engineering and Control Beijing Institute of Technology 5 South Zhongguancun Street Beijing China

ISBN: (纸本)9780998878201

This paper presents a technique of restricted knee gait analysis and classification based on electrostatic sensing, which can be applied in home nursing of patients with exercise rehabilitation. The technique is used to monitor the electrostatic signals generated during the movement of the human body, extract the gait features under restricted knee conditions, and classify the limited angles of the knee joint to evaluate the condition of rehabilitation of the knee in family environment. This may provide a theoretical basis for the treatment of diseases of the knee rehabilitation. This paper is helpful to establish a new technique to evaluate the rehabilitation degree of knee joint disease. It has the advantages of small size, easy to use and suitable for family promotion. It has a good application prospect in family wisdom medical field.

关键词： Gait analysis

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Precise tuning of the superconducting properties of Mn-doped Al films for transition edge sensors by ion-implantation

arXiv

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arXiv 2020年

作者： Lv, Yue Huang, Hao You, Tiangui Ren, Feng Ou, Xin Gao, Bo Wang, Zhen State Key Laboratory of Functional Materials for Informatics Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences 865 Changning Road Shanghai200050 China Shanghai200050 China School of Physics and Technology Wuhan University Wuhan430072 China Center of Materials Science and Optoelectronics Engineering University of Chinese Academy of Sciences Beijing100049 China School of Physical Science and Technology ShanghaiTech University Shanghai201210 China

Magnetic impurities in metallic superconductors are important for both fundamental and applied sciences. In this study, we focused on dilute Mn-doped aluminum (AlMn) films, which are common superconducting materials used to make transition edge sensors (TES). We developed a multi-energy ion-implantation technique to make AlMn films. Compared with frequently used sputtering techniques, ion-implantation provides more precise and reliable control of the Mn doping concentration in the AlMn films. The ion implantation also enables us to quantitatively analyze the superconducting transition temperature curve as a function of the Mn doping concentration. We found that Mn dopants act as magnetic impurities and suppression of superconductivity is counteracted by the antiferromagnetic Ruderman-Kittel-Kasuya-Yosida interaction among Mn dopants. The RKKY interaction can be tuned through defect engineering in the ion-implantation process and through post-implantation annealing. Copyright © 2020, The Authors. All rights reserved.

关键词： Ion implantation

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Uranium sequestration in sediment at an iron-rich contaminated site at Oak Ridge, Tennessee *** followed by reoxidation

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Journal of Environmental Sciences 2019年第11期31卷 156-167页

作者： Peng-Song Li Wei-Min Wu Debra H.Phillips David B.Watson Shelly Kelly Bing Li Tonia Mehlhorn Kenneth Lowe Jennifer Earles Hu-Chun Tao Tong Zhang Craig S.Criddle Department of Civil and Environmental Engineering William & Cloy Codiga Resource Recovery Center Center for Sustainable Development & Global Competitiveness Stanford University Stanford CA 94305-4020 USA Key Laboratory for Heavy Metal Pollution Control and Reutilization School of Environment and Energy Peking University Shenzhen Graduate School Shenzhen 518055 China Institute of New Energy Technology Tsinghua University Beijing 100084 China School of Natural and Built Environment Queen's University Belfast Belfast BT9 5AG Northern Ireland UK Environmental Sciences Division Oak Ridge National Laboratory Oak Ridge P.O.Box 2008 TN 37831 USA EXAFS Analysis Bolingbrook IL 60440 USA Department of Civil Engineering The University of Hong Kong Hong Kong China

This study evaluated uranium sequestration performance in iron-rich (30 g/kg) sediment via bioreduction followed by *** tests (1383 days) at Oak Ridge,Tennessee demonstrated that uranium contents in sediments increased after bioreduced sediments were re-exposed to nitrate and oxygen in contaminated *** of contaminated sediments (1200 mg/kg U) with ethanol in microcosm reduced aqueous U from 0.37 to 0.023 mg/*** of the bioreduced sediment were reoxidized with O2,H2O2,and NaNO3,respectively,over 285 days,resulting in aqueous U of 0.024,1.58 and 14.4 mg/L at pH 6.30,6.63 and 7.62,*** source-and the three reoxidized sediments showed different desorption and adsorption behaviors of U,but all fit a Freundlich *** adsorption capacities increased sharply at pH 4.5 to 5.5,plateaued at pH 5.5 to 7.0,then decreased sharply as pH increased from 7.0 to *** O2-reoxidized sediment retained a lower desorption efficiency at pH over *** NO3--reoxidized sediment exhibited higher adsorption capacity at pH 5.5 to *** pH-dependent adsorption onto Fe(Ⅲ) oxides and formation of U coated particles and precipitates resulted in U sequestration,and bioreduction followed by reoxidation can enhance the U sequestration in sediment.

关键词： Sediments Uranium Sequestration Bioreduction Reoxidation

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Small P values may not yield robust findings:an example using REST-meta-PD

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Science Bulletin 2021年第21期66卷 2148-2152,M0003页

作者： Xi-Ze Jia Na Zhao Hao-Ming Dong Jia-Wei Sun Marek Barton Roxana Burciu Nicolas Carrière Antonio Cerasa Bo-Yu Chen Jun Chen Stephen Coombes Luc Defebvre Christine Delmaire Kathy Dujardin Fabrizio Esposito Guo-Guang Fan Federica Di Nardo Yi-Xuan Feng Brett W.Fling Saurabh Garg Moran Gilat Martin Gorges Shu-Leong Ho Fay BHorak Xiao Hu Xiao-Fei Hu Biao Huang Pei-Yu Huang Ze-Juan Jia Christina Jones Jan Kassubek Lenka Krajcovicova Ajay Kurani Jing Li Qing Li Ai-Ping Liu Bo Liu Hu Liu Wei-Guo Liu Renaud Lopes Yu-Ting Lou Wei Luo Tara Madhyastha Ni-Ni Mao Grainne McAlonan Martin J.McKeown Shirley Pang Andrea Quattrone Irena Rektorova Alessia Sarica Hui-Fang Shang James M.Shine Priyank Shukla Tomas Slavicek Xiao-Peng Song Gioacchino Tedeschi Alessandro Tessitore David Vaillancourt Jian Wang Jue Wang Z.Jane Wang Lu-Qing Wei Xia Wu Xiao-Jun Xu Lei Yan Jing Yang Wan-Qun Yang Nai-Lin Yao De-Long Zhang Jiu-Quan Zhang Min-Ming Zhang Yan-Ling Zhang Cai-Hong Zhou Chao-Gan Yan Xi-Nian Zuo Mark Hallett Tao Wu Yu-Feng Zang Center for Cognition and Brain Disorders the Affiliated HospitalHangzhou Normal UniversityHangzhou 310015China Zhejiang Key Laboratory for Research in Assessment of Cognitive Impairments Hangzhou 311121China National Basic Science Data Center Beijing 100190China State Key Laboratory of Cognitive Neuroscience and Learning&McGovern Institute for Brain Research Beijing Normal UniversityBeijing 100875China School of Information and Electronics Technology Jiamusi UniversityJiamusi 154007China Neuroscience Program Central European Institute of TechnologyCEITECMasaryk UniversityBrno 62500Czech Republic Department of Applied Physiology and Kinesiology University of FloridaGainesville FL 32611USA Univ.Lille InsermCHU LilleU1172-LilNCog-Lille Neuroscience&CognitionLille F-59000France The Institute for Biomedical Research and Innovation National Research CouncilMangone CS 87050Italy Department of Radiology The First Affiliated Hospital of China Medical UniversityShenyang 110001China Department of Radiology Guangdong Provincial Hospital of Chinese MedicineGuangzhou 510120China Department of Medicine Surgery and DentistryScuola Medica SalernitanaUniversity of SalernoFiscianoSA 132-84084Italy Department of Advanced Medical and Surgery Sciences University of Campania“Luigi Vanvitelli”Caserta 81100Italy Eye Center of the 2nd Affiliated Hospital Medical College of Zhejiang UniversityHangzhou 310020China Zhejiang Provincial Key Lab of Ophthalmology Hangzhou 310020China Department of Health and Exercise Science Colorado State UniversityFort Collins CO 80523USA Pacific Parkinson’s Research Centre University of British ColumbiaVancouver BC V6E 2M6Canada Department of Medicine(Neurology)University of British Columbia Vancouver BC V6T 1B7Canada Brain and Mind Center The University of SydneySydney NSW 2006Australia Department of Neurology Ulm UniversityUlm 89081Germany Division of Neurology Department of MedicineQueen Mary HospitalUniversity of Hong KongHong Kong 999077China Department of

Thousands of resting state functional magnetic resonance imaging(RS-f MRI)articles have been published on brain *** precise localization of abnormal brain activity,a voxel-level comparison is *** of the large number of voxels in the brain,multiple comparison correction(MCC)must be performed to reduce false positive rates,and a smaller P value(usually including either liberal or stringent MCC)is widely recommended[1].

关键词：帕金森病 precise correction

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JOINT CONVOLUTIONAL NEURAL NETWORK FOR SMALL-SCALE SHIP CLASSIFICATION IN SAR IMAGES

JOINT CONVOLUTIONAL NEURAL NETWORK FOR SMALL-SCALE SHIP CLAS...

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IEEE International Geoscience and Remote Sensing Symposium

作者： Yanxia Wu Ye Yuan Jian Guan Libo Yin Jinyong Chen Ge Zhang Pengming Feng College of Computer Science and Technology Harbin Engineering University Harbin China China Industrial Control Systems Cyber Emergency Response Team Beijing China The 54th Research Institute of China Electronics Technology Group Corporation Shijiazhuang China State Key Laboratory of Space-Ground Integrated Information Technology Beijing China

Ship classification using synthetic aperture radar (SAR) imagery is a challenge problem in maritime surveillance. Because of the scale limitation of ship targets in SAR image, convolutional neural networks (CNNs) can not achieve similar performance as for natural image classification. In this paper, we propose a joint CNNs framework for small-scale ship targets classification in SAR image, where a generator and a classifier are jointly connected. The generator can reconstruct the small-scale low-resolution (LR) images to large-scale super-resolution (SR) images, and the classifier is used for ship classification. A novel joint loss optimization strategy is introduced to solve the problem, where an MSE-based content loss is employed to generate high quality SR images, and a classification loss is applied to enable the generator and the classifier to be trained in a joint way. Experiments are conducted to demonstrate the superior performance of our proposed method, as compared with the state-of-the-art methods.

关键词： Marine vehicles Generators Synthetic aperture radar Containers Radar polarimetry Convolutional neural networks Training

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Application of improved PSO-BP neural network in fault detection of liquid-propellant rocket engine 15

Application of improved PSO-BP neural network in fault detec...

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15th IEEE International Conference on mechatronics and Automation, ICMA 2018

作者： Li, Ningning Xue, Wei Zhao, Songbo Gao, Qiang Li, Dahua Xu, Liang Tianjin Key Laboratory for Control Theory and Applications in Complicated Systems School of Electrical and Electronic Engineering Tianjin University of Technology Tianjin300384 China Beijing Aerospace Propulsion Institute Beijing100076 China

ISBN: (纸本)9781538660720

Because liquid-propellant rocket engine (LRE) is working in complex environment, the reliability of some traditional fault detection methods is low due to the characteristics of limited fault samples, small samples, high coupling and nonlinear variation of the main engine. In order to improve the shortcomings of fault detection in traditional method, this paper presents a fault detection algorithm (PSO-BP) based on improved particle swarm optimization (PSO) algorithm and BP neural network. The structure of BP neural network is established, the collected samples are input into PSO algorithm to optimize, and the optimal BP parameters are found, and the fault detection model of the main engine is established. Finally, the established model is used to simulate the fault. The simulation results show that the proposed algorithm can improves the accuracy of fault detection in the health management of LRE and provides a guarantee for the market demand of commercial launch. © 2018 IEEE.

关键词： Fault detection

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A searchable CP-ABE privacy preserving scheme

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International Journal of Network Security 2019年第4期21卷 680-689页

作者： Feng, Tao Yin, Xiaoyu Lu, Ye Fang, Junli Li, Fenghua School of Computer and Communication Lanzhou University of Technology China College of Electrical and Information Engineering LanZhou University of Technology China The State Key Laboratory of Information Security Institute of Information Engineering Chinese Academy of Sciences Beijing China

The separation of users and data in the cloud storage system brings new security threats. The cloud storage scheme with single encryption mechanism has been unable to meet new demands. Aiming at the above problems, the PEKS was introduced into the CP-ABE scheme with multiple authorities to propose a searchable CP-ABE privacy-preserving scheme which supports the direct revocation of users. The access control of users is achieved by the central authority, which avoids the security risks caused by submitting the private keys and access structure to cloud server. The collusion problems are solved by using 1-out-of-n Obvious Transfer algorithm and associating the private key components with random identity token of users. The privacy of keywords is guaranteed though the new improved algorithm. Based on the DBDH assumption, the security of proposed scheme is proved in the random oracle model. © 2019, International Journal of Network Security.

关键词： Cloud storage

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Toxic Rational Analysis of Oily Sludge and Its Treatment Residues

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IOP Conference Series: Earth and Environmental Science 2020年第1期555卷

作者： Wanjing Li Tao Yu Chengtun Qu Hao Zheng Yanfei Wang College of Chemistry & Chemical Engineering Shaanxi Province Key Laboratory of Environmental Pollution Control and Reservoir Protection Technology of Oil fields Xi'an Shiyou University Xi'an China State Key Laboratory of Petroleum Pollution Control CNPC Research Institute of Safety and Environmental Technology Beijing 102206 China

In view of the present situation of oily sludge pollution, the different treatment methods for oily sludge in different uses were briefly described. The composition and structure of oily sludge are affected by sludge type, source, pyrolysis conditions and subsequent treatment conditions, which lead to different treatment methods and treatment effects. At present, there is no unified standard for the treatment of oily sludge at home and abroad, which brings difficulties to the unified management of oily sludge treatment. Through the toxicity analysis of oily sludge and its residues, it is helpful to judge the harmfulness of oily sludge and its treatment residues, according to the harmfulness of oily sludge, effectively choose different follow-up treatment methods, it is beneficial to establish the scientific standard of oily sludge treatment. In this paper, the present post-treatment indexes of petroleum hydrocarbon content, heavy metal ion content, water content, Polycyclic aromatic hydrocarbon content and sulfur content in oily sludge are summarized.

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Research Progress on Corrosion of Oil and Gas Field Gathering Pipeline in H2S-CO2-Cl−System

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IOP Conference Series: Earth and Environmental Science 2020年第1期555卷

作者： Yanfei Wang Jinling Li Chengtun Qu Wanjing Li Muhammad Baba Pali Hao Zheng College of Chemistry & Chemical Engineering Shaanxi Province Key Laboratory of Environmental Pollution Control and Reservoir Protection Technology of Oil fields Xi'an Shiyou University Xi'an China State Key Laboratory of Petroleum Pollution Control CNPC Research Institute of Safety and Environmental Technology Beijing 102206 China

With the development of the oil and gas field industry, the corrosion of metal materials in the H2S/CO2 environment has greatly restricted the development of the oil and gas industry. The corrosion of metal materials has gradually been paid attention to. The corrosion of steel under the H2S-CO2-Cl− system has been studied. Imminent. This paper briefly describes the corrosion and types of H2S and CO2 in steel for gathering pipelines, focusing on the reaction mechanism of corrosion, so as to achieve a more accurate grasp of corrosion laws and provide a theoretical basis for the development of new protection technologies. keywords. H2S/CO2 environment; gathering pipeline steel; corrosion.

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A Multi-load Wireless Power Transfer System with Constant Voltage Outputs Using S-LCC Compensation

A Multi-load Wireless Power Transfer System with Constant Vo...

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International Conference on Electrical Machines and Systems (ICEMS)

作者： Zhe Zhou Qiuyu Shi Chenwen Cheng Weiguo Li Zhanfeng Deng Fangyi Li Chris Mi State Key Laboratory of Advanced Power Transmission Technology Global Energy Interconnection Research Institute Beijing China Department of Electrical and Computer Engineering San Diego State University San Diego US

ISBN: (纸本)9781728133997

This paper proposes a novel wireless power transfer (WPT) system powering multiple loads. The repeater coils are used to transmit the power over a long distance. Every two repeater coils form a repeater unit, which corresponds to a load. For each transmitting coil, a capacitor is connected in series with it and a LCC compensation circuit is used for each receiving coil, which forms an S-LCC compensation topology. It is proven that the constant voltage characteristics can be obtained for each load when neglecting the coils' parasitic resistances, which facilitates independent load power control.

关键词： Coils Repeaters Couplings Integrated circuit interconnections Topology Resistance Wireless power transfer

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