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A Simulation Research Towards Better Leverage of Sales Ranking

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Journal of Systems Science and Systems Engineering 2021年第1期30卷 105-122页

作者： Lin Tang Leilei Sun Chonghui Guo Yuqian Zuo Zhen Zhang Institute of Systems Engineering Dalian University of TechnologyDalian116024China SKLSDE and bdbc Lab Beihang UniversityBeijing100090China

As a kind of the most significantly popular information in markets,the sales ranking has great impacts on consumer ***,there are few discussions on how sales ranking should be provided to consumers in the *** paper aims to answer the following two questions:1)To what extent does the sales ranking influence consumer choices;2)When the sales ranking should be provided to *** do so,this paper first constructs a sales ranking model and then provides detailed simulation experiments to demonstrate the *** experimental results show that for markets where consumer preferences are dramatically different,such as music and movie markets,sales rankings do not have significant influences on consumer choices and should not be provided to consumers until a large number of early independent consumer choices have been *** for markets in which consumer preferences are similar,such as markets for official supplies,sales rankings have more influences on consumer choices and should be provided to consumers ***,an evolution strategy is proposed to ascertain the most suitable sales rankings(characterised by suitable influence strength and suitable release time)for some specified online *** comparison results show that the optimized sales rankings not only can help consumers discover higher-quality products but also can improve overall sales.

关键词： Marketing sales ranking popularity information simulation experiments

Tuning the pinning direction of giant magnetoresistive sensor by post annealing process

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Science China(Information Sciences) 2021年第6期64卷 196-202页

作者： Zhiqiang CAO Yiming WEI Wenjing CHEN Shaohua YAN Lin LIN Zhi LI Lezhi WANG Huaiwen YANG Qunwen LENG Weisheng ZHAO Beihang-Geortek Joint Microelectronics Institute Qingdao Research InstituteBeihang University Fert Beijing Institute BDBCSchool of MicroelectronicsBeihang University Goertek Inc.

The Internet of Things has created an increasing demand for giant magnetoresistive(GMR)sensor owing to its high sensitivity, low power-consumption and small size. A full Wheatstone bridge GMR sensor is fabricated on 6-inch wafers with an annealing process on patterned devices. It can be observed that GMR resistors could have different pinning directions in one wafer by magnetic resistance measurements and MATLAB simulations. The full Wheatstone bridge device shows a sensitivity of 2 mV/V/mT in a linear range of ±6 mT, and its angular response to the surrounding magnetic field is as low as 0.08 mT. These results demonstrate a new approach to high-sensitive and low-cost GMR sensors with a controllable post annealing process.

关键词： GMR sensor full Wheatstone bridge annealing simulation

Large spin Hall effect and tunneling magnetoresistance in iridium-based magnetic tunnel junctions

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Science China(Physics,Mechanics & Astronomy) 2020年第1期63卷 86-92页

作者： JiaQi Zhou Hang Yu Zhou Arnaud Boumel WeiSheng Zhaop Fert Beijing Institute BDBCSchool of MicroelectronicsBeihang UniversityBeijing 100191China Centre de Nanosciences et de Nanotechnologies CNRSUniversite Paris-SudUniversite Paris-SaclayPalaiseau 91120France

Magnetic tunnel junctions(MTJs)switched by spin-orbit torque(SOT)have attracted substantial interest owing to their advantages of ultrahigh speed and prolonged *** field-free magnetization switching and high tunneling magnetoresistance(TMR)are critical for the practical application of SOT magnetic random access memory(MRAM).In this work,we propose an MTJ structure based on an iridium(Ir)bottom *** metal is a desirable candidate for field-free SOT switching owing to its strong intrinsic spin Hall conductivity(SHC),which can be enhanced via ***,we study TMR in Ir-based MTJs with symmetric and asymmetric ***-based MTJs exhibit large TMR,which can be further enhanced by heavy metal symmetry owing to the resonant tunneling *** comprehensive investigations illustrate that Ir-based MTJs are promising candidates for realizing SOT switching and high TMR.

关键词： magnetic tunnel junction spin Hall effect tunneling magnetoresistance

Prototyping federated learning on edge computing systems

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Frontiers of Computer Science 2020年第6期14卷 185-187页

作者： Jianlei YANG Yixiao DUAN Tong QIAO Huanyu ZHOU Jingyuan WANG Weisheng ZHAO School of Computer Science and Engineering Beihang UniversityBeijing 100191China Fert Beijing Research Institute BDBCBeihang UniversityBeijing 100191China School of Microelectronics Beihang UniversityBeijing 100191China

1 Introduction Deep learning has obtained a great success in computing technologies and has been afiliated to people's lives insepa-rably recent ***,the most common approach to deploy these deep learning models is to collect the users data and train them in central ***,the users data might be inevitably undermined during the process of col-lection and uploading,and users sensitive information might be exposed to *** at reducing the risk of privacy leakage,Google proposed federated learning,which has been successfully applied to several applications,e.g.,data alliance among enterprises[1],next word prediction in Gboard[2],etc.

关键词： prediction computing learning

Perpendicular magnetization switching by large spin-orbit torques from sputtered Bi2Te3

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Chinese Physics B 2020年第7期29卷 215-220页

作者： Zhenyi Zheng Yue Zhang Daoqian Zhu Kun Zhang Xueqiang Feng Yu He Lei Chen Zhizhong Zhang Dijun Liu Youguang Zhang Pedram Khalili Amiri Weisheng Zhao Fert Beijing Research Institute BDBCSchool of MicroelectronicsBeihang UniversityBeijing 100191China School of Electronics and Information Engineering Beihang UniversityBeijing 100191China Department of Electrical and Computer Engineering Northwestern UniversityEvanstonIllinois 60208USA

Spin-orbit torque(SOT)effect is considered as an efficient way to switch the magnetization and can inspire various high-performance spintronic ***,topological insulators(TIs)have gained extensive attention,as they are demonstrated to maintain a large effective spin Hall angle(θeff SH),even at room ***,molecular beam epitaxy(MBE),as a precise deposition method,is required to guarantee favorable surface states of TIs,which hinders the prospect of TIs towards industrial *** this paper,we demonstrate that Bi2Te3 films grown by magnetron sputtering can provide a notable SOT effect in the heterostructure with perpendicular magnetic anisotropy CoTb ferrimagnetic *** harmonic Hall measurement,a high SOT efficiency(8.7±0.9 Oe/(10^9 A/m^2))and a largeθ^eff SH(3.3±0.3)are obtained at room ***,we also observe an ultra-low critical switching current density(9.7×10^9 A/m^2).Moreover,the low-power characteristic of the sputtered Bi2Te3 film is investigated by drawing a comparison with different sputtered SOT *** work may provide an alternative to leverage chalcogenides as a realistic and efficient SOT source in future spintronic devices.

关键词： spin-orbit torque sputtered topological insulator ferrimagnet magnetization switching

Real-time bottleneck matching in spatial crowdsourcing

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Science China(Information Sciences) 2021年第8期64卷 233-234页

作者： Long LI Lingling WANG Weifeng LV State Key Laboratory of Software Development Environment (SKLSDE Lab) and Beijing Advanced Innovation Center for Big Data and Brain Computing (bdbc) Beihang University School of Management and Economics Beijing Institute of Technology

Dear editor,Spatial crowdsourcing(SC) services(e.g., Uber, DiDi, and Meituan) have become popular with smart-phone ***, the online matching problems in real-time spatial data are a key issue in SC [1–4]. Unlike the current one-sided online matching study in real-time spatial data [5], which focuses on minimizing the overall cost of the matching,

关键词： Real-time bottleneck matching in spatial crowdsourcing

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The second discriminant of a univariate polynomial

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Science China Mathematics 2021年第6期64卷 1157-1180页

作者： Dongming Wang Jing Yang bdbc LMIB and School of Mathematics and Systems ScienceBeihang UniversityBeijing 100191China SMS HCICGuangxi University for NationalitiesNanning 530006China Centre National de la Recherche Scientifique Paris 75794France

We define the second discriminant D_(2)of a univariate polynomial f of degree greater than 2 as the product of the linear forms 2r_(k)-r_(i)-r_(j)for all triples of roots r_(i),r_(k),r_(j)of f with i 详细信息

We define the second discriminant D_(2)of a univariate polynomial f of degree greater than 2 as the product of the linear forms 2r_(k)-r_(i)-r_(j)for all triples of roots r_(i),r_(k),r_(j)of f with i

关键词： determinant discriminant polynomial ideal resultant root configuration

Intelligent identification of two-dimensional nanostructures by machine-learning optical microscopy

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Nano Research 2018年第12期11卷 6316-6324页

作者： Xiaoyang Lin Zhizhong Si Wenzhi Fu Jianlei Yang Side Guo Yuan Cao Jin Zhang Xinhe Wang Peng Liu Kaili Jiang Weisheng Zhao Fert Beijing Research Institute School ofMicroelectronics & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China Beihang-GoertekJoint Microelectronics Institute Qingdao Research InstituteBeihang UniversityQingdao 266000China Fert Beijing Research Institute School of Computer Science and Engineering & Beijing Advanced Innovation Center for Big Data and Brain Computing (BDBC)Beihang UniversityBeijing 100191China State Key Laboratory of Low-Dimensional Quantum Physics Department of Physics & Tsinghua-Foxconn Nanotechnology Research CenterCollaborative Innovation Center of Quantum MatterTsinghua UniversityBeijing 100084China

Two-dimensional (2D) materials and their heterostructures, with wafer-scale synthesis methods and fascinating properties, have attracted significant interest and triggered revolutions in corresponding device applications. However, facile methods to realize accurate, intelligent, and large-area characterizations of these 2D nanostructures are still highly desired. Herein, we report the successful application of machine-learning strategy in the optical identification of 2D nanostructures. The machine-learning optical identification (MOI) method endows optical microscopy with intelligent insight into the characteristic color information of 2D nanostructures in the optical photograph. The experimental results indicate that the MOI method enables accurate, intelligent, and large-area characterizations of graphene, molybdenum disulfide, and their heterostructures, including identifications of the thickness, existence of impurities, and even stacking order. With the convergence of artificial intelligence and nanoscience, this intelligent identification method can certainly promote fundamental research and wafer-scale device applications of 2D nanostructures.

关键词： machine-learning optical identification two-dimensional (2D) material heterostructure artificial intelligence

Wireless Acoustic Sensor Networks and Edge Computing for Rapid Acoustic Monitoring

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IEEE/CAA Journal of Automatica Sinica 2019年第1期6卷 64-74页

作者： Zhengguo Sheng Saskia Pfersich Alice Eldridge Jianshan Zhou Daxin Tian Victor C.M.Leung the Department of Engineering and Design University of Sussex Infineon Technologies AG the Department of Music University of Sussex Beijing Advanced Innovation Center for Big Data and Brain Computing (bdbc) Beijing Key Laboratory for Cooperative Vehicle Infrastructure Systems & Safety ControlSchool of Transportation Science and EngineeringBeihang University the Department of Electrical and Computer Engineering The University of British Columbia

Passive acoustic monitoring is emerging as a promising solution to the urgent, global need for new biodiversity assessment methods. The ecological relevance of the soundscape is increasingly recognised, and the affordability of robust hardware for remote audio recording is stimulating international interest in the potential for acoustic methods for biodiversity *** scale of the data involved requires automated methods,however, the development of acoustic sensor networks capable of sampling the soundscape across time and space and relaying the data to an accessible storage location remains a significant technical challenge, with power management at its core. Recording and transmitting large quantities of audio data is power intensive,hampering long-term deployment in remote, off-grid locations of key ecological interest. Rather than transmitting heavy audio data, in this paper, we propose a low-cost and energy efficient wireless acoustic sensor network integrated with edge computing structure for remote acoustic monitoring and in situ *** and computation of acoustic indices are carried out directly on edge devices built from low noise primo condenser microphones and Teensy microcontrollers, using internal FFT hardware support. Resultant indices are transmitted over a ZigBee-based wireless mesh network to a destination *** tests of audio quality, indices computation and power consumption demonstrate acoustic equivalence and significant power savings over current solutions.

关键词： Acoustic sensor networks edge computing energy efficiency