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An Efficient Rule Processing Architecture Based on Reconfigurable Hardware 1

23rd Annual Conference on Computer engineering and Technology, NCCET 2019

作者： Chen, Mengdong Ren, Xiujiang Xie, Xianghui State Key Laboratory of Mathematical Engineering and Advanced Computing Henghua Science and Technology Park WuxiJiangsu214125 China

ISBN: (数字)9789811518508

ISBN: (纸本)9789811518492

In the recovery of security strings in identity authentication mechanism, the combination of dictionary and string transformation rules is an effective method. However, the processing of string transformation rules faces challenges such as performance and energy efficiency. The existing tools and researches are based on software. It’s difficult to meet the needs of actual recovery systems. In this paper, an efficient rule processing architecture based on reconfigurable hardware is proposed. The rules are processed using FPGA for the first time. A rule processor is designed and implemented on Xilinx Zynq XC7Z030 chip. The experimental results show that the performance of the rule processor is better than that of Intel i7-6700 CPU in typical cases. The performance power ratio of the rule processor is 1.4–2.1 times higher than that of NVIDIA GeForce GTX 1080 Ti GPU and 70 times higher than that of CPU, which effectively improves the speed and efficiency of rule processing. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Reconfigurable hardware

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On the conceptualization of total disturbance and its profound implications

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Science China(Information Sciences) 2020年第2期63卷 221-223页

作者： Sen CHEN Wenyan BAI Yu HU Yi HUANG Zhiqiang GAO Key Laboratory of Systems and Control Academy of Mathematics and Systems ScienceChinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences Beijing Aerospace Automatic Control Institute Center for Advanced Control Technologies Department of Electrical Engineering and Computer ScienceCleveland State University

Dear editor,How to deal with uncertainties and/or disturbances is a central issue pushing the development of both control science and control technology. Among various approaches, the active disturbance rejection control (ADRC) has been successfully implemented in various industrial practices because of its uniqueness in concepts, simplicity

关键词： ESO On the conceptualization of total disturbance and its profound implications

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Single-Molecule Force Spectroscopy Reveals Cation-π Interactions in Aqueous Media Are Highly Affected by Cation Dehydration

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Physical Review Letters 2023年第11期130卷 118101-118101页

作者： Weishuai Di Kai Xue Jun Cai Zhenshu Zhu Zihan Li Hui Fu Hai Lei Wenbing Hu Chun Tang Wei Wang Yi Cao Wenzhou Key Laboratory of Biophysics Wenzhou Institute University of Chinese Academy of Sciences Wenzhou Zhejiang 325000 China Beijing National Laboratory for Molecular Sciences College of Chemistry and Molecular Engineering and Peking-Tsinghua Center for Life Sciences Peking University Beijing 100871 China School of Physical and Mathematical Science Nanyang Technological University 21 Nanyang Link Singapore 637371 Singapore Department of Polymer Science and Engineering State Key Laboratory of Coordination Chemistry Collaborative Innovation Center of Chemistry for Life Sciences School of Chemistry and Chemical Engineering Nanjing University 210023 Nanjing China Collaborative Innovation Center of Advanced Microstructures National Laboratory of Solid State Microstructure Department of Physics Nanjing University Nanjing 210093 China Institute for Brain Sciences Nanjing University Nanjing 210093 China Chemistry and Biomedicine Innovation Center Nanjing University Nanjing 210093 China

Cation-π interactions underlie many important processes in biology and materials science. However, experimental investigations of cation-π interactions in aqueous media remain challenging. Here, we studied the cation-π binding strength and mechanism by pulling two hydrophobic polymers with distinct cation binding properties, i.e., poly-pentafluorostyrene and polystyrene, in aqueous media using single-molecule force spectroscopy and nuclear magnetic resonance measurement. We found that the interaction strengths linearly depend on the cation concentrations, following the order of Li+

关键词： Chemical Physics & Physical Chemistry Interactions & forces Nanoparticles Nanostructures Polymers Single polymer chains Atomic force microscopy Differential scanning calorimetry Nuclear magnetic resonance

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Design and implementation of a domain specific rule engine 1

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22nd Annual Conference on Computer engineering and Technology, NCCET 2018

作者： Chen, Mengdong Zhou, Xinjian Wu, Dong Xie, Xianghui State Key Laboratory of Mathematical Engineering and Advanced Computing Henghua Science and Technology Park WuxiJiangsu214125 China

ISBN: (数字)9789811359194

ISBN: (纸本)9789811359187

Security strings are often needed in identity authentication mechanism. Security strings recovery is a reverse process, which does much calculations on a large amount of possible strings to find the right one, so that we can recover lost or forgotten strings and regain access to valuable information. In this reverse process, we need first process basic strings based on transformation rules, so as to generate new ones quickly. Rule processing is complex, which has high requirements for computing power, processing time, especially system power consumption. In response to the above requirements, this work puts forward the idea of accelerating the processing of rules using hardware for the first time, and a domain specific rule engine is designed and implemented on the existing FPGA platform. The experimental results show that the performance of the rule engine on a single Xilinx Zynq 7z030 FPGA is better than that of CPU, its performance power ratio is 3 times higher than that of GPU, and 50 times higher than that of CPU. The speed and energy efficiency of the rule processing is improved effectively. © 2019, Springer Nature Singapore Pte Ltd.

关键词： Engines

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Time-Domain Transfer Path Analysis Based on Gaussian Process Latent Force Model and Least Squares

SSRN

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SSRN 2024年

作者： Zhu, Yu He, Zhicheng Zhou, Enlin L. Li, Eric Chen, Y.J. Gao, H. State Key Laboratory of Advanced Design and Manufacturing Technology for Vehicle Hunan University Changsha410082 China School of Computing Engineering & Digital Technologies Teesside University Middlesbrough United Kingdom Chinese Scholartree Ridge Laboratory China North Vehicle Research Institute Beijing100072 China Liuzhou Wuling New Energy Vehicle Co. Ltd. Guangxi Automobile Group Co. Ltd. Liuzhou545005 China

The appearance of Time-domain transfer path analysis (TPA) has provided an effective means for addressing the issues of noise, vibration, and harshness (NVH) in mechanical systems under transient conditions. However, two primary challenges exist with this approach. Firstly, computing the generalized inverse of the frequency response functions (FRFs) matrix from excitations to indicators is prone to numerical instabilities, leading to ill-conditioned problems. Secondly, the accuracy of time-domain information extracted from existing frequency-domain data is relatively low. These issues diminish the precision of classical time-domain TPA methods in time-domain loads identification and impulse response functions (IRFs) recognition, thereby affecting their accuracy. In this work, we propose a novel time-domain TPA method that integrates the gaussian process latent force model (GPLFM) with the least squares (LS). Initially, this method explores the GPLFM in fluid-structure interaction (FSI) system. Secondly, a genetic algorithm (GA) is utilized to determine optimal parameters of the indicators. Subsequently, the vibration IRFs are identified using the LS. Finally, the contribution of each path to the targets' vibration is calculated using linear convolution, while a Kalman filter without measurement updates predicts the noise contribution. Case studies have demonstrated that the proposed method achieved higher accuracy in time-domain loads identification under multiple loading conditions compared to traditional methods using deconvolution filters. Additionally, the accuracy of calculating the contributions surpasses that of traditional methods employing linear convolution. © 2024, The Authors. All rights reserved.

关键词： Genetic algorithms

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A Survey of Automatic Text Summarization Technology Based on Deep Learning

A Survey of Automatic Text Summarization Technology Based on...

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Artificial Intelligence and Computer engineering (ICAICE), International Conference on

作者： Mengli Zhang Gang Zhou Wanting Yu Wenfen Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Guilin University of Electronic Technology Guilin China

ISBN: (数字)9781728191461

ISBN: (纸本)9781728191478

With the rapid development of the Internet, the amount of network text data is increasing day by day. It is increasingly becoming a challenge to quickly mine useful information from massive amounts of text data. The emergence of automatic summarization technology provides new ideas and methods for solving this problem. Compared with extractive summarization model, abstractive summarization model more closely resembles the process of human summarization, giving it important research significance. In recent years, with the development of deep learning methods, text summarization technology based on deep learning has made unprecedented breakthroughs. Based on the current mainstream sequence-to- sequence framework, we summarize the state-of-the-art abstractive summarization models, compare the advantages of different models and applicable scenarios, and provide a clear context for researchers in related fields. Furthermore, we also make statistics on the Chinese and English datasets. Finally, we put forward some thoughts on the common problems in the field of automatic text summarization.

关键词： Deep learning Semantics Reinforcement learning Information retrieval Internet Task analysis Context modeling

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SpTFS: Sparse Tensor Format Selection for MTTKRP via Deep Learning 20

SpTFS: Sparse Tensor Format Selection for MTTKRP via Deep Le...

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Supercomputing Conference

作者： Qingxiao Sun Yi Liu Ming Dun Hailong Yang Zhongzhi Luan Lin Gan Guangwen Yang Depei Qian Beihang University China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Tsinghua University China

ISBN: (数字)9781728199986

ISBN: (纸本)9781728199993

Canonical polyadic decomposition (CPD) is one of the most common tensor computations adopted in many scientific applications. The major bottleneck of CPD is matricized tensor times Khatri-Rao product (MTTKRP). To optimize the performance of MTTKRP, various sparse tensor formats have been proposed such as CSF and HiCOO. However, due to the spatial complexity of the tensors, no single format fits all tensors. To address this problem, we propose SpTFS, a framework that automatically predicts the optimal storage format for an input sparse tensor. Specifically, SpTFS leverages a set of sampling methods to lower the sparse tensor to fix-sized matrices and specific features. Then, TnsNet combines CNN and the feature layer to accurately predict the optimal format. The experimental results show that SpTFS achieves prediction accuracy of 92.7% and 96% on CPU and GPU respectively.

关键词： Tensors High performance computing Neural networks Graphics processing units Sampling methods Sparse matrices Matrix decomposition

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Further investigation on the fusion of ^(6)Li with ^(209)Bi target at near-barrier energies

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Chinese Physics C 2024年第7期48卷 106-117页

作者：张高龙焦振威张广鑫 M.R.Cortes 胡世鹏钱建强 D.Mengoni 屈卫卫李聪博郑云张焕乔孙慧斌王楠张春雷 J.J.Valiente-Dobón D.Testov M.Mazzocco A.Gozzelino C.Parascandolo D.Pierroutsakou M.La Commara A.Goasduff D.Bazzacco D.R.Napoli F.Galtarossa F.Recchia A.Illana S.Bakes I.Zanon S.Aydin G.de Angelis M.Siciliano R.Menegazzo S.M.Lenzi J.L.Ferreira J.Rangel Serkan Akkoyun L.F.Canto J.Lubian School of Physics Beihang UniversityBeijing 100191China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China Instituto de Física Universidade Federal Fluminense24210-340NiteróiRio de JaneiroBrazil Institute for Advanced Study in Nuclear Energy&Safety Shenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of Research and Manufacture of High Purity Germanium Materials and Fetectors Shenzhen UniversityShenzhen 518060China INFN Sezione di PadovaPadovaItaly Dipartimento di fisica Astronomia dell'Universita di padova PadovaItaly State Key Laboratory of Radiation Medicine and Protection School of Radiation Medicine and ProtectionSoochow UniversitySuzhou 215123China China Institute of Atomic Energy Beijing 102413China The Key Laboratory of Beam Technology and Material Modification of Ministry of Education College of Nuclear Science and TechnologyBeijing Normal UniversityBeijing 100875China INFN Laboratori Nazionali di LegnaroI-35020 LegnaroItaly INFN Sezione di NapoliI-80126 NapoliItaly Dipartimento di Farmacia Universitàdi Napoli"Federico II"I-80131 NapoliItaly Department of Natural and Mathematical Sciences Faculty of EngineeringTarsus University33480 MersinTurkiye Physics Division Argonne National LaboratoryLemont-ILUSA Departamento de Matemaética Física e Computaç˜ao Universidade do Estado do Rio de JaneiroFaculdade de Tecnologia27537-000ResendeRio de JaneiroBrazil Department of Physics Sivas Cumhuriyet UniversitySivasTurkey Instituto de Física Universidade Federal do Rio de JaneiroCP 6852821941-972Rio de JaneiroBrazil

The complete and incomplete fusion cross sections for ^(6)Li+^(209)Bi were measured using the in-beamγ-ray method around the Coulomb *** cross sections of(deuteron captured)incomplete fusion(ICF)products were re-quantified experimentally for this reaction *** results reveal that the ICF cross section is equivalent to that of complete fusion(CF)above the Coulomb barrier and dominant near or below the Coulomb barrier.A theoretical calculation based on the continuum discretized coupled channel(CDCC)method was performed for the aforementioned CF and ICF cross sections;the result is consistent with the *** universal fusion function(UFF)was also compared with the measured CF cross section for different barrier parameters,demonstrating that the CF suppression factor is significantly influenced by the choice of potential,which can reflect both dynamic and static effects of breakup on the fusion process.

关键词： cross section incomplete fusion suppression factor weakly bound nuclei

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Graph Neural Network Enabled Fluid Antenna Systems: A Two-Stage Approach

arXiv

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arXiv 2025年

作者： He, Changpeng Lu, Yang Chen, Wei Ai, Bo Wong, Kai-Kit Niyato, Dusit State Key Laboratory of Advanced Rail Autonomous Operation China School of Computer Science and Technology Beijing Jiaotong University Beijing100044 China School of Electronics and Information Engineering Beijing Jiaotong University Beijing100044 China Department of Electronic and Electrical Engineering University College London LondonWC1E 6BT United Kingdom Yonsei Frontier Laboratory The School of Integrated Technology Yonsei University Seoul03722 Korea Republic of College of Computing and Data Science Nanyang Technological University Singapore639798 Singapore

An emerging fluid antenna system (FAS) brings a new dimension, i.e., the antenna positions, to deal with the deep fading, but simultaneously introduces challenges related to the transmit design. This paper proposes an "unsupervised learning to optimize" paradigm to optimize the FAS. Particularly, we formulate the sum-rate and energy efficiency (EE) maximization problems for a multiple-user multiple-input single-output (MU-MISO) FAS and solved by a two-stage graph neural network (GNN) where the first stage and the second stage are for the inference of antenna positions and beamforming vectors, respectively. The outputs of the two stages are jointly input into a unsupervised loss function to train the two-stage GNN. The numerical results demonstrates that the advantages of the FAS for performance improvement and the two-stage GNN for real-time and scalable optimization. Besides, the two stages can function separately. © 2025, CC BY.

关键词： Graph neural networks

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Semantic-based Malware Behavior Description: Past and Future 2019

Semantic-based Malware Behavior Description: Past and Future

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Proceedings of the 2019 the 9th International Conference on Communication and Network Security

作者： Ping Yang Hui Shu Xiaobing Xiong Fei Kang State Key Laboratory of Mathematical Engineering and Advanced University of Information and Engineering Zhengzhou

ISBN: (纸本)9781450376624

Traditional malware detection is faced with problems of low efficiency and high cost. In recent years, in order to improve the efficiency and accuracy of malware detection, a method based on semantic malware behavior description has been widely studied. In this paper, we firstly classified the current methods of semantic-based malware behavior description by their evolution and characteristics. Secondly, we performed a statistical analysis for the typical description in different aspects. Finally, through statistical analysis, we revealed the challenges faced by semantic-based malware behavior description and its future development prospects.

关键词： Formalization Malware behavior description Behavior Specification Semantics

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