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IEEE International Conference on Data Science in Cyberspace (DSC)

作者： Hu Li Qiongmin Ma Ming Zhang Xiaohui Kuang National Key Laboratory of Science and Technology on Information System Security Beijing China National Key Laboratory for Complex Systems Simulation Beijing China

Machine Learning and Artificial Intelligence technology accelerates technological progress and promotes social development, but also brings many security problems. Machine learning models may be affected, deceived, controlled or destroyed at different stages, e.g. training and inference, which may lead to serious consequences. In view of the main stages of the life cycle of machine learning, we summarizes the related attack and defense technologies based on threat matrix, makes a comprehensive and systematic analysis on the security issues of machine learning, and puts forward several security protection suggestions for intelligent information systems.

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Decadal climate variability during the pre-industrial Common Era: characteristics and mechanisms

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Science Bulletin 2025年

作者： Ning, Liang Liu, Zhengyu Mann, Michael E. Liu, Jian Yan, Mi Sun, Weiyi Chen, Kefan Qin, Yanmin Wen, Qin State Key Laboratory of Climate System Prediction and Risk Management Nanjing210023 China Key Laboratory for Virtual Geographic Environment Ministry of Education Nanjing210023 China State Key Laboratory Cultivation Base of Geographical Environment Evolution and Regional Response of Jiangsu Province Nanjing210023 China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing210023 China School of Geography Nanjing Normal University Nanjing210023 China Department of Geography The Ohio State University ColumbusOH43210 United States Department of Earth and Environmental Science Annenberg School for Communication University of Pennsylvania PhiladelphiaPA19104 United States Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems School of Mathematical Science Nanjing Normal University Nanjing210023 China

In this article, we present a comprehensive review of decadal to multi-decadal climate variability during the Common Era (CE), focusing on their characteristics and mechanisms. We begin by summarizing recent advances in proxy reconstructions that reveal the paleo-evidence of decadal to multi-decadal climate variability during the CE. Decadal to multi-decadal variability has been observed in extensive sets of proxy records in the CE. Despite improvements in proxy records in the type, temporal resolution, and temporal coverage, there remains a lack of clear consistency in the preferred time scales and phases of the variability among different records. The agreements of decadal characteristics between proxy records and model simulations are higher during the periods with strong external forcings, but lower during periods of weak external forcing. We subsequently describe the recent modeling studies on the influences of external forcings and internal variability on decadal to multi-decadal climate variability with associated physical mechanisms, and some emerging research topics. Despite the improved understanding of climate variability and regional climate changes, especially over the eastern Asia summer monsoon region, several inconsistencies still exist, such as the amplitudes of responses to external forcings and relative contributions from external forcings and internal variability. The review ends with perspectives for future directions to reconcile discrepancies of decadal climate variability, such as applications of paleoclimate data assimilation and isotope-enabled transient climate modeling, and implications for projecting future decadal to multi-decadal climate changes and for improving the accuracy of decadal predictions. © 2025 Science China Press

关键词： Global warming

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Research on Multi-agent Based C4ISR Effectiveness simulation and Evaluation

Research on Multi-agent Based C4ISR Effectiveness Simulation...

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International Conference on Computer modeling and simulation, ICCMS

作者： Zhang Ying-chao Ye Feng Yu Qin-zhang Chen Xin National Key Laboratory of Science and Technology on Complex Systems Simulation Beijing Institute of System Engineering Beijing China

The effectiveness evaluation of C4ISR is playing a more and more important role in its designing, developing and using. According to its characters, such as complexity and intelligence, the traditional evaluation methods and systems are not feasible and effective enough. In this paper, a multi-agent based simulation and evaluation framework of C4ISR is advanced, which includes the architecture and the working procedure. The agent-based simulation model of C4ISR is put forward, according to which the C2 Agent, Armament Agent and the Evaluation Agent are founded. The interaction model between each agent is also designed. At final, based on the Swarm, a multi-agent based C4ISR effectiveness simulation and evaluation prototype is developed, through which NATO C2 effectiveness evaluation is thoroughly analyzed.

关键词： Analytical models Computational modeling Computer simulation Adaptive systems Intelligent agent Design engineering systems engineering and theory Laboratories Virtual prototyping Information technology

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On Exploring Undetermined Relationships for Visual Relationship Detection

On Exploring Undetermined Relationships for Visual Relations...

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IEEE/CVF Conference on Computer Vision and Pattern Recognition

作者： Yibing Zhan Jun Yu Ting Yu Dacheng Tao Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University UBTECH Sydney AI Centre School of Computer Science FEIT University of Sydney

ISBN: (纸本)9781728132945

In visual relationship detection, human-notated relationships can be regarded as determinate relationships. However, there are still large amount of unlabeled data, such as object pairs with less significant relationships or even with no relationships. We refer to these unlabeled but potentially useful data as undetermined relationships. Although a vast body of literature exists, few methods exploit these undetermined relationships for visual relationship detection. In this paper, we explore the beneficial effect of undetermined relationships on visual relationship detection. We propose a novel multi-modal feature based undetermined relationship learning network (MF-URLN) and achieve great improvements in relationship detection. In detail, our MF-URLN automatically generates undetermined relationships by comparing object pairs with human-notated data according to a designed criterion. Then, the MF-URLN extracts and fuses features of object pairs from three complementary modals: visual, spatial, and linguistic modals. Further, the MF-URLN proposes two correlated subnetworks: one subnetwork decides the determinate confidence, and the other predicts the relationships. We evaluate the MF-URLN on two datasets: the Visual Relationship Detection (VRD) and the Visual Genome (VG) datasets. The experimental results compared with state-of-the-art methods verify the significant improvements made by the undetermined relationships, e.g., the top-50 relation detection recall improves from 19.5% to 23.9% on the VRD dataset.

关键词： Visualization Fuses Dataset

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A GNSS Spoofing Detection Method based on Sparse Decomposition Technique

A GNSS Spoofing Detection Method based on Sparse Decompositi...

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2022 IEEE International Conference on Unmanned systems, ICUS 2022

作者： He, Yuxin Zhuang, Yaqiang Zhuang, Xuebin Lin, Zijian School of System Science and Engineering Sun Yat-sen University Guangzhou China School of Integrated Circuits and Electronics Beijing Institute of Technology Beijing Key Laboratory of Millimeter Wave and Terahertz Technology Beijing China Science and Technology On Complex Aviation Systems Simulation Laboratory Beijing China

ISBN: (数字)9781665484565

ISBN: (纸本)9781665484565

By broadcasting false Global Navigation Satellite System (GNSS) signals, spoofing attacks will induce false position and time fixes within the victim receiver. In this article, we propose a Sparse Decomposition (SD)-based spoofing detection algorithm in the acquisition process, which can be applied in a single-antenna receiver. In the first step, we map the Fast Fourier transform (FFT)-based acquisition result in a two-dimensional matrix, which is a distorted autocorrelation function when the receiver is under spoof attack. In the second step, the distorted function is decomposed into two main autocorrelation function components of different code phases. The corresponding elements of the result vector of the SD are the code-phase values of the spoofed and the authentic signals. Numerical simulation results show that the proposed method can not only outcome spoofing detection result, but provide reliable estimations of the code phase delay of the spoof attack. © 2022 IEEE.

关键词： Fast Fourier transforms

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Prompting Large Language Models with Answer Heuristics for Knowledge-Based Visual Question Answering

Prompting Large Language Models with Answer Heuristics for K...

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Conference on Computer Vision and Pattern Recognition (CVPR)

作者： Zhenwei Shao Zhou Yu Meng Wang Jun Yu Key Laboratory of Complex Systems Modeling and Simulation School of Computer Science and Technology Hangzhou Dianzi University China School of Computer Science and Information Engineering Hefei University of Technology China

Knowledge-based visual question answering (VQA) requires external knowledge beyond the image to answer the question. Early studies retrieve required knowledge from explicit knowledge bases (KBs), which often introduces irrelevant information to the question, hence restricting the performance of their models. Recent works have sought to use a large language model (i.e., GPT-3 [3]) as an implicit knowledge engine to acquire the necessary knowledge for answering. Despite the encouraging results achieved by these methods, we argue that they have not fully activated the capacity of GPT-3 as the provided input information is insufficient. In this paper, we present Prophet-a conceptually simple framework designed to $prompt$ GPT-3 with answer heuristics for knowledge-based VQA. Specifically, we first train a vanilla VQA model on a specific knowledge-based VQA dataset without external knowledge. After that, we extract two types of complementary answer heuristics from the model: answer candidates and answer-aware examples. Finally, the two types of answer heuristics are encoded into the prompts to enable GPT-3 to better comprehend the task thus enhancing its capacity. Prophet significantly outperforms all existing state-of-the-art methods on two challenging knowledge-based VQA datasets, OK-VQA and A-OKVQA, delivering 61.1% and 55.7% accuracies on their testing sets, respectively.

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An estimation of ecological risk after dam construction in LRGR, China: Changes on heavy metal pollution and plant distribution

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Procedia Environmental Sciences 2011年 5卷 153-159页

作者： Shaoqing Chen Bin Chen Meirong Su State Key Laboratory of Water Environment Simulation School of Environment Beijing Normal University Beijing 100875 China State Key Laboratory of Turbulence and Complex Systems Peking University Beijing 100871 China

Dam construction has become one of the most controversial and wide-debated issues these days, mainly due to the unanticipated ecological risk it brings to river basin. Though the environmental impact caused by dam project has been reported in considerable literatures, most of them were concerned with the condition of aquatic ecosystem (e.g., hydrology, water quality, sediment, and aquatic fauna) with the potential risk of terrestrial ecosystem remaining unsettled. This study estimated the ecological risk on terrestrial ecosystem after dam construction by focusing on the heavy metal pollution and distribution of plant community in Lancang River of LRGR. The heavy metals were determined, and the plants were investigated in the reservoir and downstream of three dams built on the river. The results showed that notable changes had taken place in both objects, which indicated the existence of ecological risk on river ecosystem. This study might serve as the first step of computing dam-induced risk in wholeecosystem scale.

关键词： River ecosystem Ecological risk Heavy metal pollution Plant distribution LRGR

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Double Improved Genetic Simulated Annealing Algorithm for Logistics Distribution Routing Optimization

Double Improved Genetic Simulated Annealing Algorithm for Lo...

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International Conference on Big Data and Information Analytics (BigDIA)

作者： Yuanhang Li Jichao Li Yiyin Zhang Jianing Li Xiaoke Zhang College of Systems Engineering National University of Defense Technology Changsha China National Key Laboratory for Complex Systems Simulation Beijign China

Traveling Salesman Problem (TSP) is a NP-hard problem, which has important application value in various fields. This paper optimizes and improves Genetic Algorithm and Simulates Annealing Algorithms respectively, combines each other's advantages and complements each other, and develops a Double-improved genetic-simulates annealing algorithm (DIGASA), which can solve TSP with better results and shorter time. The main improvements are as follows: (1) A new fitness function is defined that can increase with the evolution process; (2) The F-adaptive function is designed to optimize the crossover and mutation probability; (3) The local optimal search is introduced to speed up the convergence of the algorithm; (4) The adaptive Metropolis criterion is adopted in the group update part to make individual changes more adaptive; (5) The cooling function is improved to increase the tempering process. Subsequently, DIGASA is tested on eight standard TSP datasets of three sizes. Experimental results show that DAGASA performs well, almost reach the known optimal solution, and the running time is short, which proves the effectiveness and rationality of DIGASA.

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On the Coupled of NBEM and FEM for an Anisotropic Quasilinear Problem in Elongated Domains

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American Journal of Computational Mathematics 2012年第2期2卷 143-155页

作者： Baoqing Liu Qikui Du Jiangsu Provincial Key Laboratory for Numerical Simulation of Large Scale Complex Systems Nanjing China School of Mathematical Science Nanjing Normal University Nanjing China

In this paper, based on the Kirchhoff transformation, the coupling of natural boundary element method and finite element method are discussed for solving exterior anisotropic quasilinear problems with elliptic artificial boundary. By the principle of the natural boundary reduction, we obtain natural integral equation on elliptic artificial boundaries, the coupled variational problem and its numerical method. Moreover, the convergence and error estimate of the approximate solutions are obtained. Finally, some numerical examples are presented to illuminate the feasibility of the method.

关键词： Quasilinear Elliptic Equation Elliptic Artificial Boundary Natural Integral Equation

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Design and implementation of multiple volume servers block level storage system based on load-balanced strategy

International Journal of Database Theory and Application

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International Journal of Database Theory and Application 2014年第4期7卷 59-78页

作者： Wan, Jian Chen, Xun You, Xindong School of Computer Science and Technology Hangzhou Dianzi University Hangzhou China Key Laboratory of Complex System Modeling and Simulation Ministry of Education China

Block level storage system has been widely used as it can provide users raw block device. On the basis of Orthrus system, this paper designs and implements a multiple volume servers block level storage system based on load-balanced strategy-Orthrus Plus. This system uses the dynamic load-balanced strategy based on genetic algorithm strategy to load balance the volume servers clusters and proposes an iSCSI pause and resume method to solve the breakpoint retransmission problem during load-balancing. At last, we design a hierarchical management mechanism based on volume life cycle at storage. Experiments show that the load balancing capability in Orthrus Plus is more accurate and efficient under the situation of larger amount of data, and the hierarchical storage strategy also increases the I/O throughout capacity. © 2013 SERSC.

关键词： Genetic algorithms

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