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International Conference on Software Maintenance (ICSM)

作者： Jingtang Zhang Kui Liu Dongsun Kim Li Li Zhe Liu Jacques Klein Tegawendé F. Bissyandé Nanjing University of Aeronautics and Astronautics Nanjing China Key Laboratory of Safety-Critical Software (Nanjing University of Aeronautics and Astronautics) Nanjing China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Kyungpook National University Daegu South Korea Monash University Melbourne Australia Interdisciplinary Centre for Security Reliability and Trust (SnT) University of Luxembourg Luxembourg

Fault localization produces bug positions as the basic input for many automated program repair (APR) systems. Given that test cases are the common means that automatic fault localization techniques leverage, we investigate the impact of their characteristics (in terms of quality and quantity) on APR. In particular, we analyze the statements that appear in crash stack traces when test cases fail (note that stack traces are available when an ordinary test case fails since its verdict is often made by assertions that produce errors such as AssertError in Java and JUnit), and explore the possibility of using some relevant crash information to enhance fault localization; this ultimately improves the effectiveness of APR tools. Our study reveals that the considered state-of-the-art APR systems achieve the best performance when fixing bugs associated with boolean type expected values (e.g., assertTrue ()) or assertFalse(). In contrast, they achieve their worst performance when addressing bugs related to null check assertions. Meanwhile, null check bugs as well as the bugs associated with boolean and string type expected values are still the main challenge that should be addressed by the future APR. For exception throwing bugs, existing APR systems present the best performance on fixing NullPointerException bugs, while the tough task of them is to resolve the bugs throwing developer-defined exceptions. The information in stack traces after executing the bug-triggering test cases can be used to effectively improve the performance on fault localization and program repair.

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Malicious Code Detection Technology Based on A3C Algorithm

Malicious Code Detection Technology Based on A3C Algorithm

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IEEE International Conference on Software engineering and Service Sciences (ICSESS)

作者： Yi Xue Hui Shu Wenjuan Bu Wu Qu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou China Beijing Venustech Cybervision Co. Ltd. China Beijing China

ISBN: (数字)9781728165790

ISBN: (纸本)9781728165806

In the face of the explosive growth of malicious code, this paper proposes a malicious code detection technology based on the A3C algorithm. The technology constructs a malicious code anti-detection adversarial model through the A3C algorithm of the reinforcement learning. It can automatically generates anti-detection malicious samples that bypass the intelligent model on the existing malicious sample set, constructs the anti-detection sample training data set, uses the anti-detection sample training data set to iteratively train new intelligent detection models, continuously builds a reinforcement learning intelligent detection model with continuously enhanced capabilities.

关键词： Face recognition Software algorithms Training data Reinforcement learning Malware Data models Software engineering

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BTI Aging Monitoring based on SRAM Start-up Behavior

BTI Aging Monitoring based on SRAM Start-up Behavior

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Asian Test Symposium (ATS)

作者： Shengyu Duan Peng Wang Gaole Sai School of Computer Engineering and Science Shanghai University Shanghai China State Key Laboratory of Computer Architecture Institute of Computing Technology Chinese Academy of Sciences China State Key Laboratory of Mathematical Engineering and Advanced Computing Wuxi China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences China CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced Technology China

ISBN: (数字)9781728174679

ISBN: (纸本)9781728174686

Bias Temperature Instability (BTI) is one of the dominant CMOS aging mechanisms. It causes time-dependent variation, threatening circuit lifetime reliability. BTI-induced circuit errors are not detectable at the fabrication stage. On-line monitoring schemes are therefore necessary to capture the degradations during the operational time. Traditional aging monitoring techniques exhibit high implementation complexity and low stability. In this paper, we propose a BTI monitoring approach by simply tracking the start-up behavior of SRAM cells. SRAM is a widely used on-chip device in many applications. We study the impact of BTI for SRAM start-up values and age some cells in a manipulated manner. The BTI degradation is evaluated based on the number of SRAM cells starting with a certain value. This technique can be used to estimate the degradation for on-chip logic circuits without introducing additional circuitry, and thus has very low implementation complexity. We use an SRAM array with 1024 cells to estimate the degradations for multiple logic circuits, and show the average mean absolute percentage error as 8.48%. In addition, this technique is robust considering process, voltage and temperature variations.

关键词： Degradation Monitoring Logic circuits Transistors SRAM cells Aging System-on-chip

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Fault Diagnosis and Fault-Tolerant Attitude Control of Spacecraft Based on Combined Observer

Fault Diagnosis and Fault-Tolerant Attitude Control of Space...

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第40届中国控制会议

作者： Yuandong Li Yizhong Fang Menghan Shao Xuning Chen Xiaodong Shao Qinglei Hu Jianying Zheng School of Automation Science and Electrical Engineering Beihang University The State Key Laboratory of Experiment Physics & Computational Mathematic Beijing Institute of Space Long March Vehicle Beijing Aerospace Automatic Control Institute China Academy of Launch Vehicle Technology School of Aeronautic Science and Engineering Beihang University Beijing Advanced Innovation Center for Big-Data Based Precision Medicine Beihang University

Reaction wheels as the main actuators for attitude control of spacecraft are very prone to malfunction,which may significantly degrade the performance of the spacecraft attitude control *** this paper a novel active fault-tolerant control scheme is proposed to react the reaction wheel faults actively.A combined observer is first designed to detect the reaction wheel faults,by combining a traditional adaptive Luenberger observer and a newly designed neural network（NN） *** inherits the advantages of the low computational cost of the Luenberger observer and the high performance of the NN ***,a fault isolation scheme is given to locate ***,an adaptive fault-tolerant controller is designed to achieve graceful performance degradation under reaction wheel faults,based on the diagnosis results of the combined observer and the judgment results of the fault isolation ***,simulation results show that the proposed scheme is able to achieve precise fault diagnosis and fault-tolerant control of spacecraft in the presence of external interference and limited computation.

关键词： neural network observer fault-tolerant control fault diagnosis spacecraft attitude control

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A Regional Network Topology Construction Algorithm Based On Sampling Measurement

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Journal of Physics: Conference Series 2021年第1期1861卷

作者： Zhiyuan Tao Yan Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450001 China

Network topology construction is one of the basic means to study the target network. Whether it is the discovery of vital nodes, IP location or network characteristics mining, a complete and accurate network topology is needed. In this paper, a regional network topology construction algorithm based on sampling measurement is proposed to solve the problem of high time cost and resource waste of existing algorithms. Firstly, multiple vantage points located inside and outside the target area are selected to form a probing set. Then the IPes of the target area is extracted based on sampling to form the target IP set. Finally, the probing set is used to probe the target IP set periodically. The network topology of the target region was constructed based on the results of a 40-day internet measurement and compared with the existing database. The experimental results show that the coverage rate of routing nodes in the target area is improved by more than 90% compared with the measured data provided by CAIDA (Center for Applied Internet Data Analysis) and by more than 10% compared with the measured data provided by IPIP.

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Secure Intelligent Reflecting Surface Aided Integrated Sensing and Communication

arXiv

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arXiv 2022年

作者： Hua, Meng Wu, Qingqing Chen, Wen Dobre, Octavia A. Swindlehurst, A. Lee The State Key Laboratory of Internet of Things for Smart City University of Macau 999078 China The Department of Electronic Engineering Shanghai Institute of Advanced Communications and Data Sciences Shanghai Jiao Tong University Minhang200240 China The Faculty of Engineering and Applied Science Memorial University St. John’sNLA1B 3X5 Canada The Center for Pervasive Communications and Computing University of California at Irvine IrvineCA92697 United States

In this paper, an intelligent reflecting surface (IRS) is leveraged to enhance the physical layer security of an integrated sensing and communication (ISAC) system in which the IRS is deployed to not only assist the downlink communication for multiple users, but also create a virtual line-of-sight (LoS) link for target sensing. In particular, we consider a challenging scenario where the target may be a suspicious eavesdropper that potentially intercepts the communication-user information transmitted by the base station (BS). To ensure the sensing quality while preventing the eavesdropping, dedicated sensing signals are transmitted by the BS. We investigate the joint design of the phase shifts at the IRS and the communication as well as radar beamformers at the BS to maximize the sensing beampattern gain towards the target, subject to the maximum information leakage to the eavesdropping target and the minimum signal-to-interference-plus-noise ratio (SINR) required by users. Based on the availability of perfect channel state information (CSI) of all involved user links and the accurate target location at the BS, two scenarios are considered and two different optimization algorithms are proposed. For the ideal scenario where the CSI of the user links and the target location are perfectly known at the BS, a penalty-based algorithm is proposed to obtain a high-quality solution. In particular, the beamformers are obtained with a semi-closed-form solution using Lagrange duality and the IRS phase shifts are solved for in closed form by applying the majorization-minimization (MM) method. On the other hand, for the more practical scenario where the CSI is imperfect and the target location is uncertain, a robust algorithm based on the S-procedure and sign-definiteness approaches is proposed. Simulation results demonstrate the effectiveness of the proposed scheme in achieving a trade-off between the communication quality and the sensing quality, and also show the tremendous pot

关键词： Channel state information

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SC3EF: A Joint Self-Correlation and Cross-Correspondence Estimation Framework for Visible and Thermal Image Registration

arXiv

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arXiv 2025年

作者： Tong, Xi Luo, Xing Yang, Jiangxin Cao, Yanpeng Li, Xin State Key Laboratory of Fluid Power and Mechatronic Systems Laboratory of Advanced Manufacturing Technology of Zhejiang Province School of Mechanical Engineering Zhejiang University Hangzhou310027 China Section of Visual Computing and Creative Media School of Performance Visualization and Fine Arts Texas A&M University College StationTX77843 United States

Multispectral imaging plays a critical role in a range of intelligent transportation applications, including advanced driver assistance systems (ADAS), traffic monitoring, and night vision. However, accurate visible and thermal (RGB-T) image registration poses a significant challenge due to the considerable modality differences. In this paper, we present a novel joint Self-Correlation and Cross-Correspondence Estimation Framework (SC3EF), leveraging both local representative features and global contextual cues to effectively generate RGB-T correspondences. For this purpose, we design a convolution-transformer-based pipeline to extract local representative features and encode global correlations of intra-modality for inter-modality correspondence estimation between unaligned visible and thermal images. After merging the local and global correspondence estimation results, we further employ a hierarchical optical flow estimation decoder to progressively refine the estimated dense correspondence maps. Extensive experiments demonstrate the effectiveness of our proposed method, outperforming the current state-of-the-art (SOTA) methods on representative RGB-T datasets. Furthermore, it also shows competitive generalization capabilities across challenging scenarios, including large parallax, severe occlusions, adverse weather, and other cross-modal datasets (e.g., RGB-N and RGB-D). Copyright © 2025, The Authors. All rights reserved.

关键词： advanced driver assistance systems

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Identifying topologies and system parameters of uncertaintime-varying delayed complex networks

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Science China(Technological Sciences) 2019年第1期62卷 94-105页

作者： WANG Xiong GU HaiBo WANG QianYao Lü JinHu LSC Academy of Mathematics and Systems Science Chinese Academy of Sciences School of Mathematical Sciences University of Chinese Academy of Sciences School of Automation Science and Electrical Engineering State Key Laboratory of Software Development Environment and Beijing Advanced Innovation Center for Big Data and Brain Computing Beihang University

Node dynamics and network topologies play vital roles in determining the network features and network dynamical *** it is of great theoretical significance and practical value to recover the topology structures and system parameters of uncertain complex networks with available information. This paper presents an adaptive anticipatory synchronization-based approach to identify the unknown system parameters and network topological structures of uncertain time-varying delayed complex networks in the presence of noise. Moreover, during the identification process, our proposed scheme guarantees anticipatory synchronization between the uncertain drive and constructed auxiliary response network simultaneously. Particularly, our method can be extended to several special cases. Furthermore, numerical simulations are provided to verify the effectiveness and applicability of our method for reconstructing network topologies and node parameters. We hope our method can provide basic insight into future research on addressing reconstruction issues of uncertain realistic and large-scale complex networks.

关键词： system parameters and network topologies identification anticipatory synchronization uncertain time-varying delayed complex networks noise-perturbed complex networks

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DRTaint: A Dynamic Taint Analysis Framework Supporting Correlation Analysis Between Data Regions

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Journal of Physics: Conference Series 2021年第1期1856卷

作者： Pan Yang Fei Kang Yuntian Zhao Hui Shu State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou Henan 450001 China

Taint analysis is a common technology for software analysis, which is widely used in the region of information security. Aiming at the problem that the existing binary program dynamic taint analysis framework does not support 'replay' analysis and the analysis efficiency is low, a taint analysis framework called DRTaint is proposed. DRTaint is a universal taint analysis framework that supports correlation analysis between data regions. Experiments show that DRTaint shows good performance advantages when performing taint analysis many times on one program. On the basis of DRTaint, this paper studies the malicious code behavior extraction method based on taint analysis, and the research finds that DRTaint can provide better support for malicious code behavior extraction.

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Angle-Resolved Magneto-Chiral Anisotropy in a Non-Centrosymmetric Atomic Layer Superlattice

arXiv

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arXiv 2024年

作者： Cheng, Long Bao, Mingrui Zhang, Jingxian Zhang, Xue Yang, Qun Li, Qiang Cao, Hui Qiu, Dawei Liu, Jia Ye, Fei Wang, Qing Liang, Genhao Li, Hui Cheng, Guanglei Zhou, Hua Zuo, Jian-Min Zhou, Xiaodong Shen, Jian Zhu, Zhifeng Mu, Sai Wang, Wenbo Zhai, Xiaofang School of Physical Science and Technology ShanghaiTech University Pudong District Shanghai201210 China CAS Key Laboratory of Microscale Magnetic Resonance School of Physical Sciences University of Science and Technology of China Hefei230026 China School of Information Science and Technology ShanghaiTech University Pudong District Shanghai201210 China State Key Laboratory of Surface Physics Institute for Nanoelectronic Devices and Quantum Computing Fudan University Shanghai200433 China Materials Science Division Argonne National Laboratory LemontIL60439 United States Institutes of Physical Science and Information Technology Anhui University Hefei230601 China X-Ray Science Division Advanced Photon Source Argonne National Laboratory LemontIL60439 United States Department of Materials Science and Engineering Materials Research Laboratory University of Illinois Urbana–Champaign UrbanaIL61801 United States Center for Experimental Nanoscale Physics Department of Physics and Astronomy University of South Carolina ColumbiaSC29208 United States ShanghaiTech Laboratory for Topological Physics ShanghaiTech University Shanghai201210 China

Chirality in solid-state materials has sparked significant interest due to potential applications of topologically-protected chiral states in next-generation information technology. The electrical magneto-chiral effect (eMChE), arising from relativistic spin-orbit interactions, shows great promise for developing chiral materials and devices for electronic integration. Here we demonstrate an angle-resolved eMChE in an A-B-C-C type atomic-layer superlattice lacking time and space inversion symmetry. We observe non-superimposable enantiomers of left-handed and right-handed tilted uniaxial magnetic anisotropy as the sample rotates under static fields, with the tilting angle reaching a striking 45°. Magnetic force microscopy and atomistic simulations correlate the tilt to the emergence and evolution of chiral spin textures. The Dzyaloshinskii-Moriya interaction ‘lock’ effect in competition with Zeeman effect is demonstrated to be responsible for the angle-resolved eMChE. Our findings open up a new horizon for engineering angle-resolved magneto-chiral anisotropy, shedding light on the development of novel angle-resolved sensing or writing techniques in chiral spintronics. Copyright © 2024, The Authors. All rights reserved.

关键词： Magnetic anisotropy

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