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2020 5th International Seminar on Computer technology, Mechanical and Electrical Engineering, ISCME 2020

作者： Ma, Haocong Zhang, Ji Zhou, Junhua Zhai, Xiang Xue, Junjie Ji, Hang State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System Engineering Beijing100854 China School of Computer Science and Technology Beijing Institute of Technology Beijing100081 China Beijing Complex Product Advanced Manufacturing Engineering Research Center Beijing Simulation Center Beijing100854 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing100854 China

Malicious code is characterized by a large number of types, rapid increase in number, continuous update of transmission routes, and continuous enhancement of back analysis and back detection methods. Therefore, how to effectively detect and analyze malicious code has been a problem of great concern. This paper studies the features of binary file and disassembly file of malicious code, introduces the concept of information gain, and proposes a method to construct the multi-dimensional characteristic graph of malicious code. Finally, the convolutional neural network is used to classify the multi-dimensional feature graph of malicious code, which provides a new idea for the feature extraction of malicious code. © Published under licence by IOP Publishing Ltd.

关键词： Malware

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Towards optimized tensor code generation for deep learning on sunway many-core processor

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Frontiers of Computer science 2024年第2期18卷 1-15页

作者： Mingzhen LI Changxi LIU Jianjin LIAO Xuegui ZHENG Hailong YANG Rujun SUN Jun XU Lin GAN Guangwen YANG Zhongzhi LUAN Depei QIAN State Key Laboratory of Software Development Environment Beijing 100191China School of Computer Science and Engineering Beihang UniversityBeijing 100191China National University of Singapore Singapore 119077Singapore State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi 214000China Science and Technology on Special System Simulation Laboratory Beijing Simulation Center Beijing 100854China Department of Computer Science and Technology Tsinghua UniversityBeijing 100084China

The flourish of deep learning frameworks and hardware platforms has been demanding an efficient compiler that can shield the diversity in both software and hardware in order to provide application *** the existing deep learning compilers,TVM is well known for its efficiency in code generation and optimization across diverse hardware *** the meanwhile,the Sunway many-core processor renders itself as a competitive candidate for its attractive computational power in both scientific computing and deep learning *** paper combines the trends in these two ***,we propose swTVM that extends the original TVM to support ahead-of-time compilation for architecture requiring cross-compilation such as *** addition,we leverage the architecture features during the compilation such as core group for massive parallelism,DMA for high bandwidth memory transfer and local device memory for data locality,in order to generate efficient codes for deep learning workloads on *** experiment results show that the codes generated by swTVM achieve 1.79x improvement of inference latency on average compared to the state-of-the-art deep learning framework on Sunway,across eight representative *** work is the first attempt from the compiler perspective to bridge the gap of deep learning and Sunway processor particularly with productivity and efficiency in *** believe this work will encourage more people to embrace the power of deep learning and Sunwaymany-coreprocessor.

关键词： sunway processor deep learning compiler code generation performance optimization

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Consensus disturbance rejection control of directed multi-agent networks with extended state observer

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Chinese Journal of Aeronautics 2020年第5期33卷 1486-1493页

作者： Shaopan GUO Zhongkui LI Yifeng NIU Lizhen WU State Key Laboratory for Turbulence Complex System Department of Mechanics and Aerospace EngineeringPeking UniversityBeijing 100871China College of Intelligence Science and Technology National University of Defense TechnologyChangsha 410073China

This paper investigates the consensus disturbance rejection problem among multiple high-order agents with directed *** on disturbance observers,distributed consensus disturbance rejection protocols are constructed in leaderless and leader-follower consensus *** from the previous related papers,the consensus protocols in this paper are developed in a fully distributed fashion,relying on only the state information of each agent and its *** conditions are provided to guarantee that the asymptotic stability of high-order multi-agent systems can be reached with matched disturbances.

关键词： Adaptive control Consensus control Distributed control Disturbance rejection Multi-agent systems

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Molecular transport under extreme confinement

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science China(Physics,Mechanics & Astronomy) 2022年第6期65卷 1-10页

作者： FengChao Wang JianHao Qian JingCun Fan JinChuan Li HengYu Xu HengAn Wu CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of ChinaHefei 230027China

Mass transport through the nanoporous medium is ubiquitous in nature and *** the macroscale transport phenomena which have been well understood by the theory of continuum mechanics,the relevant physics and mechanics on the nanoscale transport still remain *** developments in fabrication of slit-like nanocapillaries with precise dimensions and atomically smooth surfaces have promoted the fundamental research on the molecular transport under extreme *** this review,we summarized the contemporary progress in the study of confined molecular transport of water,ions and gases,based on both experiments and molecular dynamics *** liquid exhibits a pronounced layered structure that extends over several intermolecular distances from the solid surface,which has a substantial influence on static properties and transport behaviors under *** studies have also shown that those molecular details could provide some new understanding on the century-old classical theory in this field.

关键词： confined mass transport nanocapillary solid-liquid interface confinement effect

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Hard-magnetic liquid metal droplets with excellent magnetic field dependent mobility and elasticity

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Journal of Materials science & technology 2021年第33期92卷 60-68页

作者： Xiaokang He Mingyang Ni Jianpeng Wu Shouhu Xuan Xinglong Gong CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of ChinaHefei 230027China

Magnetic liquid metal droplets(MLMDs)have been proven to be very important in many fields such as flexible electronics and soft ***,soft magnetic particles such as nickel(Ni)and iron(Fe)are mixed or suspended into the liquid metal to obtain soft MLMDs(S-LMDs),which can be easily manipulated under the magnetic field due to the favorable deformability and *** addition,hard magnetic particles such as neodymium iron boron(Nd Fe B)with a high residual magnetization can also be dispersed into the liquid metal and the hard MLMDs(H-LMDs)become more compact due to the interaction between internal particles induced by *** work reports a kind of H-LMDs with high surface tension,high flexibility and mechanical robustness,whose electrical conductivity and strength are better than the *** the magnetic field,the H-LMDs have a faster response time(0.58 s)and a larger actuating velocity(4.45 cm/s)than the ***,the H-LMDs show excellent magnetic controllability,good elasticity and favorable mobility,as demonstrated by magnetically actuated locomotion,bounce tests and rolling angle ***,the droplets can be further applied in wheeldriven motors and micro-valve switches,which demonstrates their high application potential in robotic manipulation and microfluidic devices.

关键词： Magnetic liquid metal droplets NdFeB particles Magnetic controllability Micro-valve

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Emergent antisymmetric wrinkling patterns in films on ridged substrates

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science China(Physics,Mechanics & Astronomy) 2023年第11期66卷 179-187页

作者： Jiahui Zhang Yi Sun Linghui He Yong Ni CAS Key Laboratory of Mechanical Behavior and Design of Materials Department of Modern MechanicsCAS Center for Excellence in Complex System MechanicsUniversity of Science and Technology of ChinaHefei230026China

We report the formation of antisymmetric wrinkling patterns in films on ridged substrates induced by the buckling instability of the substrates via finite element simulations and *** simulated results reveal that the uniaxial compression along the ridge can trigger both the wrinkling instability of the film and the lateral buckling instability of the *** latter could change the wrinkles from a symmetric pattern to an antisymmetric pattern in a range of film-substrate modulus ratio and aspect ratio of the ridge profile,as validated by the experimental observations.A three-dimensional phase diagram with four buckling patterns,i.e.,sole ridge buckling pattern,antisymmetric wrinkling pattern with different wavelengths from ridge buckling,symmetric wrinkling pattern without ridge buckling,and antisymmetric wrinkling pattern with the same wavelength as ridge buckling,is built with respect to the uniaxial compression,modulus ratio,and aspect *** results not only elucidate how and when the interplay between the wrinkling instability and the ridge instability results in the formation of the antisymmetric wrinkling pattern but also offer a way to generate controllable complex wrinkling patterns.

关键词： wrinkling pattern buckling instability ridged film-substrate system antisymmetric wrinkles

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Compression Strategy of Structured Text Based on Prior Dictionary for Data Distribution system 2

Compression Strategy of Structured Text Based on Prior Dicti...

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2nd International Conference on Advanced Algorithms and Signal Image Processing, AASIP 2022

作者： Li, Kefei Jia, Yijiang Ji, Yunhui Xie, Baodi Zhang, Wei Lu, Ping Chen, Jincai Wuhan National Laboratory for Optoelectronics Huazhong University of Science and Technology Wuhan430074 China Science and Technology on Space System Simulation Laboratory Beijing Simulation Center Beijing100854 China

ISBN: (纸本)9781510660571

Data distribution service (DDS) is a middleware API standard from Object Management Group (OMG), which transfers data using a publisher-subscriber model. The number of distributed nodes deployed in today's DDS communication system can reach tens of thousands, thus improving the efficiency of the communication system is important. In this work we present a structured text encoding strategy based on prior dictionary. This compression method has considerable compression effect on structured text such as HTML. In our evaluation, the average data compression rate is reduced by 7.07%, and the average system latency is reduced by 8.61% comparing to Zlib. © 2022 SPIE.

关键词： Middleware

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Operational Effectiveness Evaluation of Space-based Information system based on Improved AHP-BPNN Model 5

Operational Effectiveness Evaluation of Space-based Informat...

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5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Han, Chi Xiong, Wei Jian, Ping Aerospace Information Institute Aerospace Engineering University Beijing China Science and Technology on Complex Electronic System Simulation Laboratory Aerospace Engineering University Beijing China

ISBN: (纸本)9781665415989

In view of the characteristics of complex influencing factors and coupling interaction of various combat capabilities in the effectiveness evaluation of space- based information system (SIS), the effectiveness evaluation method of SIS based on improved AHP-BP neural network was proposed, which was mapped to multi-attribute decision making problem. The weight of experts was determined from the objective perspective to improve the traditional AHP and calculate the relevant influencing factors among experts. The comprehensive evaluation value is obtained according to the evaluation matrix, and the comprehensive weight of the index is obtained by the weighted average of the expert weight and the index weight. The evaluation data obtained from improved AHP and combat simulation data are used as prior samples to train BPNN to obtain the effectiveness evaluation model. Finally, sample data were obtained through MATLAB and STK co-simulation to evaluate the operational effectiveness of SIS and verify the effectiveness of the model. © 2021 IEEE.

关键词： MATLAB

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Effectiveness Evaluation of Space-based Information system based on Improved SVR 5

Effectiveness Evaluation of Space-based Information System b...

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5th IEEE Information technology, Networking, Electronic and Automation Control Conference, ITNEC 2021

作者： Han, Chi Xiong, Wei Jian, Ping Aerospace Engineering University Aerospace Information Institute Beijing China Aerospace Engineering University Science and Technology on Complex Electronic System Simulation Laboratory Beijing China

ISBN: (纸本)9781665415989

The evaluation of effectiveness of space-based information system (SIS) is of great significance for modern warfare in integrated operations. In view of characteristics of complex impact factors, small number of samples and strong nonlinearity of effectiveness evaluation, support vector regression (SVR) is adopted to evaluate effectiveness. At the same time, cuckoo search optimizer (CSO) is introduced to optimize the three parameters of SVR. The simulation results indicate that improved SVR has higher accuracy than the traditional SVR and BP neural network, and can effectively evaluate the effectiveness of SIS. © 2021 IEEE.

关键词： Vector spaces

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The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

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science China(Information sciences) 2019年第12期62卷 269-271页

作者： Hao REN Nan LI Yi CHAI Jianfeng QU Qiu TANG Lei HUANG School of Automation Chongqing University Key Laboratory of Complex System Safety and Control Ministry of Education School of Computer Science and Technology Huaiyin Normal University

Dear editor,Generally, one of the most prominent features of modern industrial systems is the massive amount of data collected from various sensors, which poses great challenges to traditional methods of captur-

关键词： The input pattern problem on deep learning applied to signal analysis and processing to achieve fault diagnosis

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