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TWO-SCALE FINITE ELEMENT GREEN'S FUNCTION APPROXIMATIONS WITH APPLICATIONS TO ELECTROSTATIC POTENTIAL COMPUTATION

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Journal of Systems science & Complexity 2010年第1期23卷 177-193页

作者： ying YAng Aihui ZHOU department of Computational science and Mathematics Guilin University of Electronic Technology Guilin 541004 China. The State Key Laboratory of Scientific and Engineering Computing Institute of Computational Mathematics and Scientific/Engineering Computing Academy of Mathematics and Systems Science Chinese Academy of Sciences Beijing 100190 China.

In this paper,a two-scale finite element approach is proposed and analyzed for approximationsof Green's function in *** approach is based on a two-scale finite elementspace defined,respectively,on the whole domain with size H and on some subdomain containing singularpoints with size h (h << H).It is shown that this two-scale discretization approach is very *** particular,the two-scale discretization approach is applied to solve Poisson-Boltzmann equationssuccessfully.

关键词： Error analysis finite element Green's function Poisson-Boltzmann equation two-scale.

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Understanding adversarial attacks on observations in deep reinforcement learning

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science china(Information sciences) 2024年第5期67卷 69-83页

作者： You QIAOBEN Chengyang ying Xinning ZHOU Hang SU Jun ZHU Bo ZHAng department of computer science and technology Beijing National Research Center for Information Science and Technology Tsinghua-Bosch Joint Center for Machine Learning Institute for Artificial Intelligence Tsinghua University Peng Cheng Laboratory

Deep reinforcement learning models are vulnerable to adversarial attacks that can decrease the cumulative expected reward of a victim by manipulating its observations. Despite the efficiency of previous optimization-based methods for generating adversarial noise in supervised learning, such methods might not achieve the lowest cumulative reward since they do not generally explore the environmental ***, a framework is provided to better understand the existing methods by reformulating the problem of adversarial attacks on reinforcement learning in the function space. The reformulation approach adopted herein generates an optimal adversary in the function space of targeted attacks, repelling them via a generic two-stage framework. In the first stage, a deceptive policy is trained by hacking the environment and discovering a set of trajectories routing to the lowest reward or the worst-case performance. Next, the adversary misleads the victim to imitate the deceptive policy by perturbing the observations. Compared to existing approaches, it is theoretically shown that our adversary is strong under an appropriate noise level. Extensive experiments demonstrate the superiority of the proposed method in terms of efficiency and effectiveness, achieving state-of-the-art performance in both Atari and MuJoCo environments.

关键词： deep learning reinforcement learning adversarial robustness adversarial attack

A malware detection model based on a negative selection algorithm with penalty factor

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science china(Information sciences) 2010年第12期53卷 2461-2471页

作者： ZHAng PengTao 1,2 , WAng Wei 1,2 & TAN ying 1,2 1 department of Machine Intelligence, School of Electronics Engineering and computer science, Peking university, beij.ng 100871, china 2 Key Laboratory of Machine Perception, Ministry of Education, Peking university, beij.ng 100871, china 1. department of Machine Intelligence School of Electronics Engineering and Computer Science Peking University Beijing 100871 China2. Key Laboratory of Machine Perception Ministry of Education Peking University Beijing 100871 China

A malware detection model based on a negative selection algorithm with penalty factor (NSAPF) is proposed in this paper. This model extracts a malware instruction library (MIL), containing instructions that tend to appear in malware, through deep instruction analysis with respect to instruction frequency and file frequency. From the MIL, the proposed model creates a malware candidate signature library (MCSL) and a benign program malware-like signature library (BPMSL) by splitting programs orderly into various short bit strings. Depending on whether a signature matches "self", the NSAPF further divides the MCSL into two malware detection signature libraries (MDSL1 and MDSL2), and uses these as a two-dimensional reference for detecting suspicious programs. The model classifies suspicious programs as malware and benign programs by matching values of the suspicious programs with MDSL1 and MDSL2. Introduction of a penalty factor C in the negative selection algorithm enables this model to overcome the drawback of traditional negative selection algorithms in defining the harmfulness of "self" and "nonself", and focus on the harmfulness of the code, thus greatly improving the effectiveness of the model and also enabling the model to satisfy the different requirements of users in terms of true positive and false positive rates. Experimental results confirm that the proposed model achieves a better true positive rate on completely unknown malware and a better generalization ability while keeping a low false positive rate. The model can balance and adjust the true positive and false positive rates by adjusting the penalty factor C to achieve better performance.

关键词： penalty factor negative selection algorithm signature extraction artificial immune system mal- ware detection

SP-141 targets Trs85 to inhibit rice blast fungus infection and functions as a potential broadspectrum antifungal agent

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Plant Communications 2024年第2期5卷 169-184页

作者： Xi-Yu Wu Bo Dong Xue-Ming Zhu ying-ying Cai Lin Li Jian-Ping Lu Bin Yu Jing-Li Cheng Fei Xu Jian-Dong Bao ying Wang Xiao-Hong Liu Fu-Cheng Lin State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of BiotechnologyZhejiang UniversityHangzhou 310058Zhejiang ProvinceChina State Key Laboratory for Managing Biotic and Chemical Threats to the Quality and Safety of Agro-products Institute of Plant Protection and MicrobiologyZhejiang Academy of Agricultural SciencesHangzhou 310058Zhejiang ProvinceChina department of Pharmacology and Nutritional science College of MedicineThe University of KentuckyLexingtonKY 40506USA Markey Cancer Center College of MedicineThe University of KentuckyLexingtonKY 40506USA College of Life sciences Zhejiang UniversityHangzhou 310058Zhejiang ProvinceChina Institute of Pesticide and Environmental Toxicology Ministry of Agriculture Key Lab of Molecular Biology of Crop Pathogens and InsectsZhejiang UniversityHangzhou 310058Zhejiang ProvinceChina Institute of Edible Fungi Shanghai Academy of Agricultural SciencesShanghai 201106ShanghaiChina

Rice blast is a devastating disease worldwide,threatening rice production and food *** blast fun-gus Magnaporthe oryzae invades the host via the appressorium,a specialized pressure-generating struc-ture that generates enormous turgor pressure to penetrate the host ***,owing to ongoing evolution of fungicide resistance,it is vitally important to identify new targets and ***,we show that Trs85,a subunit of the transport protein particle III complex,is essential for appressorium-mediated infection in *** explain how Trs85 regulates autophagy through Ypt1(a small guano-sine triphosphatase protein)in *** then identify a key conserved amphipathic a helix within Trs85 that is associated with pathogenicity of *** computer-aided screening,we identify a lead compound,SP-141,that affects autophagy and the Trs85–Ypt1 ***-141 demonstrates a substantial capacity to effectively inhibit infection caused by the rice blast fungus while also exhibiting wide-ranging potential as an antifungal agent with broad-spectrum *** together,our data show that Trs85 is a potential new target and that SP-141 has potential for the control of rice *** thus provide a novel strategy that may help in thefight against rice blast.

关键词： Magnaporthe oryzae rice blast TRAPPIII complex trs85 fungicide

Multi-granularity feature enhancement network for maritime ship detection

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CAAI Transactions on Intelligence technology 2024年第3期9卷 649-664页

作者： Li ying Duoqian Miao Zhifei Zhang Hongyun Zhang Witold Pedrycz department of computer science and technology Tongji UniversityShanghaiChina Project Management Office of china National Scientific Seafloor Observatory Tongji UniversityShanghaiChina department of Electrical and computer Engineering AlbertaEdmontonCanada System Research Institute Polish Academy of SciencesWarsawPoland

Due to the characteristics of high resolution and rich texture information,visible light images are widely used for maritime ship ***,these images are suscep-tible to sea fog and ships of different sizes,which can result in missed detections and false alarms,ultimately resulting in lower detection *** address these issues,a novel multi-granularity feature enhancement network,MFENet,which includes a three-way dehazing module(3WDM)and a multi-granularity feature enhancement module(MFEM)is *** 3WDM eliminates sea fog interference by using an image clarity automatic classification algorithm based on three-way decisions and FFA-Net to obtain clear image ***,the MFEM improves the accuracy of detecting ships of different sizes by utilising an improved super-resolution reconstruction con-volutional neural network to enhance the resolution and semantic representation capa-bility of the feature maps from *** results demonstrate that MFENet surpasses the other 15 competing models in terms of the mean Average Pre-cision metric on two benchmark datasets,achieving 96.28%on the McShips dataset and 97.71%on the SeaShips dataset.

关键词： object classification object recognition rough sets rough set theory

Models to Simulate Effective Coverage of Fire Station Based on Real-Time Travel Times

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computer Modeling in Engineering & sciences 2024年第4期139卷 483-513页

作者： Sicheng Zhu Dingli Liu Weijun Liu ying Li Tian Zhou department of Engineering Management Changsha University of Science and TechnologyChangsha410114China

In recent years,frequent fire disasters have led to enormous damage in *** firefighting rescues can minimize the losses caused by *** the rescue processes,the travel time of fire trucks can be severely affected by traffic conditions,changing the effective coverage of fire ***,it is still challenging to determine the effective coverage of fire stations considering dynamic traffic *** paper addresses this issue by combining the traveling time calculationmodelwith the effective coverage *** addition,it proposes a new index of total effective coverage area(TECA)based on the time-weighted average of the effective coverage area(ECA)to evaluate the urban fire *** also selects china as the case study to validate the feasibility of the models,a fire station(FS-JX)in ***-JX station and its surrounding 9,117 fire risk points are selected as the fire service supply and demand points,respectively.A total of 196 simulation scenarios throughout a consecutiveweek are ***,1,933,815 sets of valid sample data are *** results showed that the TECA of FS-JX is 3.27 km^(2),which is far below the standard requirement of 7.00 km^(2) due to the traffic *** visualization results showed that three rivers around FS-JX interrupt the continuity of its effective *** proposed method can provide data support to optimize the locations of fire stations by accurately and dynamically determining the effective coverage of fire stations.

关键词： Fire services fire station effective coverage real-time traffic simulation

An Analysis Method of Business Application Framework

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Wuhan university Journal of Natural sciences 2001年第Z1期6卷 218-223页

作者： He Ke\|qing 1,Fan Hui hua 1,ying Shi 2 1.department of computer science, Wuhan university, Wuhan 430072, china 2.State Key Laboratory of Software Engineering, Wuhan university, Wuhan 430072, china department of computer science Wuhan University Wuhan 430072 China

We discuss the evolution of object oriented software development process based on software pattern. For developing mature software framework and component, we advocate to elicit and incorporate software patterns for ensuing quality and reusability of software frameworks. On the analysis base of requirement specification for business application domain, we present analysis method and basic role model of software framework. We also elicit analysis pattern of framework architecture, and design basic role classes and their structure.

关键词： object oriented software framework analysis pattern of architecture component role model

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A Low-carbon Operation Optimization Method of ETG-RIES Based on Adaptive Optimization Spiking Neural P Systems

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Protection and Control of Modern Power Systems 2024年第5期9卷 162-177页

作者： Tao Wang Zhu Huang Ruixuan ying Luis Valencia-Cabrera School of Electrical Engineering and Electronic Information Xihua UniversityChengdu 610039China the Xiluodu Hydropower Plant China Yangtze Power Co.Ltd.Zhaotong 657300China the Institute of Multidisciplnary Research for Ad-vanced Materials Tohoku UniversitySendai 980-8577Japan department of computer science and Artificial Intelligence University of SevilleAvda.Reina Mercedes s/n 41012Spain

To enhance multi-energy complementarity and foster a low carbon economy of energy resources,this paper proposes an innovative low-carbon operation opti-mization method for electric-thermal-gas regional inte-grated energy *** bolster the low-carbon operation capabilities of such systems,a coordinated operation framework is presented that integrates carbon capture devices,power to gas equipment,combined heat and power units,and a multi-energy storage *** address the challenge of high-dimensional constraint imbalance in the optimization process,a novel low-carbon operation opti-mization method is then *** new method is based on an adaptive single-objective continuous optimiza-tion spiking neural P system,specifically designed for this ***,simulation models of four typical schemes are established and employed to test and analyze the economy and carbon environmental pollution degree of the proposed system model,as well as the performance of the operation optimization ***,simulation results show that the proposed method not only considers the economic viability of the target integrated energy sys-tem,but also significantly improves the wind power utili-zation and carbon reduction *** Terms—Spiking neural P system,power-to-gas,membrane computing,regional integrated energy system,low-carbon operation optimization.

关键词： Spiking neural P system power-to-gas membrane computing regional integrated energy system low-carbon operation optimization

Model-checking quantum systems

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National science Review 2019年第1期6卷 28-31页

作者： mingsheng ying Yuan Feng Centre for Quantum Software and Information University of Technology Sydney State Key Laboratory of computer science Institute of Software Chinese Academy of Sciences department of computer science and technology Tsinghua University

INTRODUCTION We are currently in the midst of a second quantum revolution:transition from quantum theory to quantum engineering(e.g. quantum computing, communication, sensing). The main purpose of quantum theory is to find fundamental rules governing the existing physical *** contrast, quantum engineering aims at designing and implementing new systems (machines, devices, etc.) to achieve some desirable tasks, based on quantum theory.

关键词： Model-checking quantum systems